1,398 results on '"Thiessen A"'
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2. Remembering 1919: The Winnipeg General Strike
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Thiessen, Janis
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Winnipeg General Strike, 1919 ,General strikes -- History -- Social aspects ,Labor movement -- History ,Business ,Human resources and labor relations ,Business, international - Abstract
DESPITE AN ABUNDANCE OF RESEARCH on the Winnipeg General Strike of 1919, how the strike has been remembered and commemorated by subsequent generations of Winnipeggers has been understudied. Though many archived oral histories of those involved in the strike exist, the intergenerational memory of the strike has been largely unaddressed. In anticipation of the strike's centennial, I conducted oral history interviews with six descendants of those involved in the 1919 strike, to learn how stories of the strike have been passed down in their families and how those stories shaped the interviewees' own understandings of labour and social justice. These interviews, though limited in number, attest to the importance of memory (both individual and collective) in oral history and, subsequently, in labour history. MALGRE UNE ABONDANCE DE RECHERCHES sur la greve generale de Winnipeg de 1919, la facon dont la greve a ete rappelee et commemoree par les generations suivantes de Winnipegois a ete sous-etudiee. Bien qu'il existe de nombreuses histoires orales archivees des personnes impliquees dans la greve, la memoire intergenerationnelle de la greve a ete largement ignoree. En prevision du centenaire de la greve, j'ai mene des entretiens d'histoire orale avec six descendants des personnes impliquees dans la greve de 1919, pour apprendre comment les histoires de la greve ont ete transmises dans leurs familles et comment ces histoires ont faconne la propre comprehension des personnes interrogees du travail et de la justice sociale. Ces entretiens, bien que peu nombreux, attestent de l'importance de la memoire (individuelle et collective) dans l'histoire orale et, par la suite, dans l'histoire du travail., THE YEAR 2019 WAS THE CENTENNIAL of the 1919 Winnipeg General Strike, the most radical strike in Canadian history. The strike has been examined extensively by protagonists, (1) academics, (2) [...]
- Published
- 2020
3. going places
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Akkam, Alia, Greco, Joann, Hoisington, Alicia, Kalkreuth, Sophie, Lew, Irvinia, Lo, Rebecca, and Thiessen, Tamara
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Hotels and motels ,Chefs ,Architecture and design industries ,Business ,Food and beverage industries - Abstract
The hotel industry is proceeding with cautious optimism as development continues to rise. From Savannah to Kuala Lumpur, we dive into the reasons and properties (and the people behind them) [...]
- Published
- 2019
4. Psychosocial burden and associated factors among nurses in care homes during the COVID-19 pandemic: findings from a retrospective survey in Germany
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Elisabeth Steinhagen-Thiessen, Raphael Kohl, Andrea Budnick, Adelheid Kuhlmey, Paul Gellert, Christian Hering, and Annabell Gangnus
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medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Care homes ,Depression ,RT1-120 ,Nurses ,Nursing homes ,COVID-19 ,Nursing ,Psychosocial burden ,Retrospective survey ,Family medicine ,Pandemic ,medicine ,business ,Psychosocial ,General Nursing - Abstract
Background Care homes were hit hard by the COVID-19 pandemic. Although high levels of psychosocial burden (i.e., anxiety, depression and stress) during the pandemic have been described for healthcare workers in hospitals, evidence on the psychosocial burden for nurses in care homes during the pandemic is scarce. Methods A total of 811 nurses participated in a retrospective online survey between November 2020 and February 2021. Information about the COVID-19 situation (i.e., working demands, COVID-19 cases in their facility, and COVID-19-related burden) of nurses in German care homes during the first wave of the pandemic (March 2020 to June 2020) was gathered. The Stress Scale of the Depression Anxiety and Stress Scales (SDASS-21), the Generalized Anxiety Disorder Scale-2 (GAD-2), the Patients-Health-Questionnaire-2 (PHQ-2), and the Copenhagen Psychosocial Questionnaire (COPSOQ) were used to screen for psychosocial burden. Results Among nurses, 94.2% stated that working demands since the COVID-19 pandemic increased. Further, 59.1% showed clinically relevant levels of either stress, anxiety, and/or depression. Multiple regression analysis showed significant associations between COVID-19-related burden and qualification (p < .01), dissatisfaction with COVID-19 management of care home manager (p < .05), COVID-19-related anxiety (p < .001), and dementia as a focus of care (p < .05). Stress, depression, and anxiety showed associations with COVID-19 related burden at work (p < .01), COVID-19-related anxiety (p < .001), social support (p < .01), and sense of community (p < .05). Stress was also associated with COVID-19 cases among residents (p < .05), and size of care home (p < .05). Conclusion Short- and long-term strategies (i.e., psychosocial counseling, mandatory team meetings, more highly qualified nurses, additional training) in the work environment of nursing, in crises, but beyond, should be encouraged to reduce the burden on nursing staff in care homes.
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- 2022
5. TRENDS IN THE HOME SERVICES INDUSTRY
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Thiessen, Jonathan
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Services industry ,Advertising, marketing and public relations ,Business ,Economics - Abstract
The home service industry has experienced steady growth over the past few years, with a continued upward trajectory in 2023. The pandemic has brought increased demand for home services as [...]
- Published
- 2023
6. A rapid realist review of patient engagement in patient-oriented research and health care system impacts: part one
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Heather Thiessen, Charlene R.A. Haver, Gary Groot, Shelagh McDonald, Donna Goodridge, Tracey Carr, Elaine Zibrowski, Tanya Verrall, Ray van Dusen, Darcy D. Marciniuk, and Christine Stobart
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Program evaluation ,Medicine (General) ,Health (social science) ,business.industry ,International studies ,media_common.quotation_subject ,Review Article ,Public relations ,R5-920 ,General Health Professions ,Health care ,Experiential knowledge ,Medicine ,Quality (business) ,business ,Psychology ,Research question ,Competence (human resources) ,Cultural competence ,media_common - Abstract
Background Patient-oriented research affords individuals with opportunities to genuinely contribute to health care research as members of research teams. While checklists and frameworks can support academic researchers’ awareness of patient engagement methods, less guidance appears available to support their understanding of how to develop and maintain collaborative relationships with their patient partners. This knowledge is essential as patient partners report that the social atmospheres of research teams significantly impacts the quality of their experiences. This study sought to develop theory regarding how academic researchers support and sustain patient engagement in patient-oriented research. Methods A six-step, rapid realist review was conducted: (1) research question development, (2) preliminary theory development, (3) search strategy development; (4) study selection and appraisal, (4) data extraction, analysis and synthesis (5) identification of relevant formal theories, and (6) theory refinement with stakeholders. Findings were additionally distilled by collective competence theory. Results A program theory was developed from 62 international studies which illuminated mechanisms supporting academic researchers to engage patient partners, contexts supporting these mechanisms, and resources that enabled mechanism activation. Interaction between seven contexts (patient-oriented research belief, prior interaction with a healthcare system, prior interaction with a particular academic researcher, educational background of patient partner, prior experience with patient-oriented research, study type, and time lived in a rural-urban setting) and seven mechanisms (deciding to become involved in patient-oriented research, recognizing valuable experiential knowledge, cultural competence, reducing power differentials, respectful team environment, supporting patient partners to feel valued, and readiness to research) resulted in an intermediate outcome (sense of trust). Trust then acted as an eighth mechanism which triggered the final-level outcome (empowered patient-centred lens). Conclusions Our theory posits that if patient partners trust they are a member of a supportive team working alongside academic researchers who authentically want to incorporate their input, then they are empowered to draw upon their experiential knowledge of health care systems and contribute as researchers in patient-oriented research. Our theory extends conceptual thinking regarding the importance of trust on patient-oriented research teams, how patient partners’ trust is shaped by team interactions, and the role that academic researchers have within those interactions. Supplementary Information The online version contains supplementary material available at 10.1186/s40900-021-00299-6., Plain English Summary Patient-oriented research gives patients, families, and caregivers opportunities to become members of health care research teams. Although academic researchers may be aware of what patient engagement is, they may not understand how to develop effective relationships with their patient partners. Academic researchers need this guidance because earlier research has shown that patient partners want to be supported to feel like they are important members of research teams. This support empowers them to feel confident to share their lived experiences and make suggestions and decisions about a research study. If patient partners believe their experiences and knowledge were not used or valued by academic researchers, then they may feel that their involvement was tokenistic. Tokenistic experiences discourage patient partners from participating in another research study. We conducted a rapid realist review of 62 international studies to explore what works (and does not work) in patient-oriented research. This methodology supported us to examine existing research and better understand what contexts, how and why patient-oriented research led to outcomes on a health care system. The goal of this type of research study is to develop and refine a program theory that identifies how actions and activities lead to outcomes. Our program theory emphasizes that patient partners need to trust the academic researchers they are working with. Several categories of actions (academic researcher’s behavior) helped researchers to gain the trust of their patient partners. Academic researchers were more (or less) likely to act in these ways depending on several contextual factors. Once patient partners trusted academic researchers on the team, they were empowered to draw upon their lived knowledge of health care systems and actively contribute as researchers. These findings are part of our complete theory about patient-oriented research impacts. They highlight why it is important to gain patient partners’ trust and how a complex set of actions are required by academic researchers to gain that trust. Supplementary Information The online version contains supplementary material available at 10.1186/s40900-021-00299-6.
- Published
- 2021
7. Didactic principles in plastic surgery training
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Thierry Tondu, Filip Thiessen, and G. Vissers
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medicine.medical_specialty ,business.industry ,Teaching ,Psychology, Educational ,Mentoring ,Problem-Based Learning ,Plastic Surgery Procedures ,Training (civil) ,Surgery ,Plastic surgery ,Education, Medical, Graduate ,medicine ,Humans ,Medical physics ,Clinical Competence ,Human medicine ,Surgery, Plastic ,business ,Learning Curve - Published
- 2021
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8. Improving the prediction of long‐term readmission and mortality using a novel biomarker panel
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Jeremiah R. Brown, Jeffrey P. Jacobs, Devin M. Parker, David J. Malenka, Moritz Wyler von Ballmoos, Meagan E Stabler, Michael E. Matheny, Anthony W. DiScipio, Allen D. Everett, Marshall L. Jacobs, Todd MacKenzie, Chirag R. Parikh, Donald S. Likosky, Heather Thiessen-Philbrook, Kevin W. Lobdell, and Alexander Turchin
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Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Disease ,Biomarker panel ,Plasma biomarkers ,Patient Readmission ,Article ,Risk Factors ,Internal medicine ,Natriuretic Peptide, Brain ,medicine ,Humans ,Hospital Mortality ,Coronary Artery Bypass ,Retrospective Studies ,Receiver operating characteristic ,business.industry ,Hazard ratio ,Cardiac surgery ,ROC Curve ,Cohort ,Biomarker (medicine) ,Surgery ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers - Abstract
OBJECTIVE. Several short-term readmission and mortality prediction models have been developed using clinical risk factors or biomarkers among patients undergoing coronary artery bypass graft (CABG) surgery. The use of biomarkers for long-term prediction of readmission and mortality is less well understood. Given the established association of cardiac biomarkers with short-term adverse outcomes, we hypothesized that 5-year prediction of readmission or mortality may be significantly improved using cardiac biomarkers. MATERIALS AND METHODS. Plasma biomarkers from 1,149 patients discharged alive after isolated CABG surgery from eight medical centers were measured in a cohort from the Northern New England Cardiovascular Disease Study Group (NNE) between 2004 and 2007. We assessed the added predictive value of a biomarker panel with a clinical model against the clinical model alone and compared the model discrimination using the area under the receiver operating characteristic (AUROC) curves. RESULTS. In our cohort, 461 (40%) patients were readmitted or died within 5 years. Long-term outcomes were predicted by applying the STS ASCERT clinical model with an AUROC of 0.69. The biomarker panel with the clinical model resulted in a significantly improved AUROC of 0.74 (p-value
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- 2021
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9. Association between meal-specific daily protein intake and lean mass in older adults: results of the cross-sectional BASE-II study
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Dominik Spira, Kristina Norman, K Mai, Jivko Nikolov, Joachim Spranger, Ilja Demuth, Nikolaus Buchmann, and Elisabeth Steinhagen-Thiessen
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Male ,Meal ,Nutrition and Dietetics ,business.industry ,Medicine (miscellaneous) ,Stepwise regression ,medicine.disease ,Body weight ,Protein intake ,Cross-Sectional Studies ,Animal science ,Risk Factors ,Sarcopenia ,Body Composition ,medicine ,Lean body mass ,Humans ,Female ,Dietary Proteins ,Older people ,business ,Meals ,Aged ,Total protein - Abstract
BACKGROUND Adequate total and meal-specific protein intake is considered an important prerequisite to preserve appendicular lean mass (ALM) in older adults and to prevent sarcopenia. OBJECTIVES We analyzed the meal-specific protein intake across the main meals between participants with normal vs. low ALM to BMI ratio (ALMBMI). METHODS 782 participants [59.6% men; median 69 (IQR: 65, 71) y] of the Berlin Aging Study II have been included in this analysis. ALM was assessed by dual X-ray absorptiometry. Low lean mass was defined as ALMBMI using recommended sex-specific cut-offs. A 5-day nutritional protocol was used to assess total and meal-specific protein intake. RESULTS Median total protein intake was 0.89 (IQR: 0.74, 1.05) g/kg/d body weight (BW) in participants with low ALMBMI and 1.02 (IQR: 0.86, 1.21) g/kg BW in participants with normal ALMBMI (P
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- 2021
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10. Real-World Outcomes of Oxaliplatin-Based Chemotherapy on R0 Resected Colonic Liver Metastasis
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Chad G. Ball, Patricia A. Tang, Nicholas A. Bosma, Derek Tilley, Caroline Speers, Winson Y. Cheung, Elijah Dixon, Daniel J. Renouf, Maclean Thiessen, and Richard M. Lee-Ying
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Oncology ,medicine.medical_specialty ,Colorectal cancer ,medicine.medical_treatment ,Population ,Lower risk ,Alberta ,Metastasis ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Antineoplastic Combined Chemotherapy Protocols ,medicine ,Hepatectomy ,Humans ,education ,neoplasms ,Retrospective Studies ,education.field_of_study ,Chemotherapy ,business.industry ,Liver Neoplasms ,Hazard ratio ,Gastroenterology ,Perioperative ,medicine.disease ,digestive system diseases ,Oxaliplatin ,stomatognathic diseases ,Chemotherapy, Adjuvant ,030220 oncology & carcinogenesis ,030211 gastroenterology & hepatology ,Colorectal Neoplasms ,business ,medicine.drug - Abstract
Introduction In resected colonic liver metastasis (CLM), randomized studies of oxaliplatin-based chemotherapy have demonstrated improvements in disease-free survival (DFS), but not overall survival (OS). Additionally, oxaliplatin regimens have not been compared to non-oxaliplatin chemotherapy. Despite limited evidence, perioperative chemotherapy is often used in the management of CLM. The primary aim of this study was to assess the impact of oxaliplatin chemotherapy regimens on OS in patients who have undergone resection of CLM in a real-world setting. Patients and Methods Patients who underwent resection of CLM in the provinces of Alberta and British Columbia, Canada, were identified from 1996 to 2016. Perioperative (pre- and/or post-) systemic therapy was categorized as oxaliplatin or non-oxaliplatin-based chemotherapy or no chemotherapy. The primary and secondary outcomes were OS and DFS, respectively. Results We identified 511 patients who underwent R0 resection of CLM. A significant difference in median OS was identified among the oxaliplatin, non-oxaliplatin, and no-chemotherapy groups of 100, 60, and 59 months, respectively (P = .009). In multivariate analysis, patients who received oxaliplatin regimens had a lower risk of death (hazard ratio, 0.68; 95% confidence interval, 0.51-0.92; P = .012), whereas the non-oxaliplatin chemotherapy group did not (hazard ratio, 0.88; 95% confidence interval, 0.65-1.20; P = .422) compared with no chemotherapy. Conclusions In this multicenter, retrospective, population-based study, perioperative oxaliplatin-based chemotherapy was associated with improved OS in conjunction with R0 resection of CLM. Further studies should evaluate the optimal duration and sequencing of perioperative chemotherapy in relation to curative-intent surgical resection of CLM.
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- 2021
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11. Sample Processing and Stability for Urine Biomarker Studies
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Wassim Obeid, Chirag R. Parikh, Crystal Chang, and Heather Thiessen-Philbrook
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Tamm–Horsfall protein ,biology ,Urinalysis ,medicine.diagnostic_test ,SARS-CoV-2 ,business.industry ,Urinary system ,Acute kidney injury ,Foley catheter ,COVID-19 ,General Medicine ,Urine ,Acute Kidney Injury ,Lipocalin ,medicine.disease ,Focused Reports ,Specimen Handling ,Andrology ,medicine ,biology.protein ,Humans ,Biomarker (medicine) ,business ,Pandemics ,Biomarkers - Abstract
Background Current methods of processing and storing urine samples have not been compared systematically to determine optimal conditions for advancing research on urinary biomarkers. Often, preanalytical handling is nonideal, especially considering the COVID-19 pandemic; consequently, we compared the effects of different short-term storage and processing methods on urinary biomarker measurements. Methods Spot urine samples were collected via a Foley catheter from 20 hospitalized patients from the Yale New Haven Hospital within 48 hours postcardiac surgery. The effects of 3 urine storage and processing methods on biomarkers were tested: (a) 48-hour temporary storage at 4 °C prior to freezing at −80 °C, (b) 48-hour temporary storage at 25 °C prior to freezing at −80 °C, and (c) no centrifugation and immediate storage at −80 °C. Established Meso-Scale Device assay methods were used to measure the urine concentrations of 18 biomarkers: interferon gamma (IFN-ɣ), interleukin (IL)-10, IL-12p70, IL-13, IL-1β, IL-2, IL-4, IL-6, IL-8, IL-18, tumor necrosis factor alpha (TNF-α), epidermal growth factor (EGF), neutrophil gelatinase-associated lipocalin (NGAL), osteopontin (OPN), uromodulin (UMOD), kidney injury molecule-1 (KIM-1), monocyte chemoattractant protein-1 (MCP-1), and chitinase-3-like protein 1 (YKL-40). Results Measurements of most biomarkers investigated remained stable after temporary storage at 4 °C. IL-6, IL-8, KIM-1, MCP-1, YKL-40, EGF, and NGAL were stable across all 3 processing conditions. IL-12p70 and IL-4 demonstrated significant differences in all tested conditions compared to the reference standard. Conclusions We identified several notable biomarkers that are robust to variations in preanalytical techniques and can be reliably investigated with nonideal handling conditions.
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- 2021
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12. Outcomes of patients with ST-segment myocardial infarction admitted during the COVID-19 pandemic
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Tilman Stephan, Armin Imhof, Claudia Winsauer, Manuel Rattka, Lina Stuhler, Wolfgang Rottbauer, Michael Baumhardt, and Kevin Thiessen
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medicine.medical_specialty ,medicine.medical_treatment ,Myocardial Infarction ,Ventricular Function, Left ,Cohort Studies ,Tertiary Care Centers ,Percutaneous Coronary Intervention ,Germany ,Epidemiology ,Emergency medical services ,Humans ,Medicine ,ST segment ,Prospective Studies ,cardiovascular diseases ,Myocardial infarction ,Pandemics ,SARS-CoV-2 ,business.industry ,COVID-19 ,Stroke Volume ,Thrombolysis ,medicine.disease ,Emergency medicine ,ST Elevation Myocardial Infarction ,Observational study ,Cardiology and Cardiovascular Medicine ,business ,TIMI ,Cohort study - Abstract
Since the beginning of the SARS-CoV‑2 outbreak, healthcare professionals reported that patients admitted with ST-segment myocardial infarction (STEMI) were in worse condition compared to STEMI patients admitted before the outbreak. However, data on their outcomes are sparse.We conducted a prospective, observational, cohort study of STEMI patients admitted during the COVID-19 pandemic from March 21, 2020 to July 31, 2020 (COVID-19 group). Clinical outcomes, 30-day mortality, and reasons potentially related to a delay in patient presentation were assessed and compared with STEMI patients admitted between November 1, 2019 and March 20, 2020 (pre-COVID-19 group).A total of 124 patients were enrolled, comprising 57 patients in the pre-COVID-19 group and 67 patients in the COVID-19 group. Significantly more patients in the COVID-19 group had a time to first medical contact of greater than 24 h. Additionally, those admitted during the pandemic had a significantly lower left ventricular ejection fraction (LVEF), worse thrombolysis in myocardial infarction (TIMI) flow, received circulatory support significantly more often, and had a significantly higher 30-day mortality. Furthermore, significantly more patients stated that "information by the media" made them hesitate to contact the emergency medical services as soon as possible.Here, we show that STEMI patients admitted during the COVID-19 pandemic had significantly prolonged times to first medical contact, were in worse condition at admission, and had an increased 30-day mortality. Additionally, we found that "information by the media" made patients during COVID-19 hesitate to contact the emergency medical services. Consequently, public health strategies have to be developed to avoid potential excess mortality of STEMI patients during the pandemic.HINTERGRUND: Seit Beginn des Ausbruchs der SARS-CoV-2-Pandemie berichteten medizinisch Tätige, dass mit einem ST-Strecken-Hebungs-Infarkt (STEMI) aufgenommene Patienten in einem schlechteren Zustand waren als STEMI-Patienten mit stationärer Aufnahme vor dem Ausbruch. Allerdings ist die Datenlage zu deren Ergebnissen spärlich.Es wurde eine prospektive Beobachtungs-Kohortenstudie an STEMI-Patienten mit stationärer Aufnahme während der COVID-19-Pandemie vom 21. März bis 31. Juli 2020 (COVID-19-Gruppe) durchgeführt. Klinische Ergebnisse, 30-Tage-Mortalität und potenziell mit einer verspäteten Patientenvorstellung assoziierte Gründe wurden untersucht und mit STEMI-Patienten verglichen, die zwischen 1. November 2019 und 20. März 2020 stationär aufgenommen worden waren (Prä-COVID-19-Gruppe).In die Studie wurden 124 Patienten eingeschlossen, 57 in die Prä-COVID-19-Gruppe und 67 in die COVID-19-Gruppe. In der COVID-19-Gruppe betrug die Zeit bis zum medizinischen Erstkontakt bei signifikant mehr Patienten länger als 24 h. Darüber hinaus wiesen während der Pandemie aufgenommene Patienten eine deutlich niedrigere linksventrikuläre Ejektionsfraktion (LVEF) und einen schlechteren TIMI-Wert („thrombolysis in myocardial infarction“) auf, sie erhielten öfter Kreislaufunterstützung und hatten eine deutlich höhere 30-Tage-Mortalität. Außerdem gaben deutlich mehr Patienten an, dass sie aufgrund der „Information durch die Medien“ gezögert hatten, schnellstmöglich den medizinischen Notfalldienst zu kontaktieren.Die Autoren zeigen, dass STEMI-Patienten mit stationärer Aufnahme während der COVID-19-Pandemie signifikant längere Zeiten bis zum medizinischen Erstkontakt aufwiesen, sich in schlechterem Zustand präsentierten und eine erhöhte 30-Tage-Mortalität aufwiesen. Außerdem stellten die Autoren fest, dass die „Information durch die Medien“ die Patienten zögern ließ, den medizinischen Notfalldienst zu kontaktieren. Folglich sollten Strategien des öffentlichen Gesundheitswesens entwickelt werden, um während der Pandemie eine potenzielle Übersterblichkeit von STEMI-Patienten zu verhindern.
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- 2021
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13. Associations tackle ongoing knowledge gap: the UVM industry is countering the retirement brain drain with a new comprehensive option
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Thiessen, Neil and Money, Nelsen
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Management consultants -- Training -- Services ,Brain drain -- Analysis ,Employee training -- Services ,Electric utilities -- Human resource management ,Retirees -- Training ,Company personnel management ,Business ,Electronics and electrical industries ,Engineering and manufacturing industries - Abstract
Over the last several decades, utility vegetation management (UVM) programs have evolved into multifaceted maintenance programs. The UVM industry has long recognized many of the seasoned industry experts who helped [...]
- Published
- 2017
14. Prostate specific membrane antigen positron emission tomography for lesion-directed high-dose-rate brachytherapy dose escalation
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Christopher W. Smith, Joseph L. Chin, Madeleine Moussa, Irina Rachinsky, Glenn Bauman, Aaron D. Ward, Douglas A. Hoover, Stephen E. Pautler, Jonathan D. Thiessen, Ryan Alfano, Mena Gaed, John Butler, Kathleen Surry, David D'Souza, and Jose A. Gomez
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medicine.medical_specialty ,Positron emission tomography ,medicine.medical_treatment ,Brachytherapy ,R895-920 ,urologic and male genital diseases ,Lesion ,Prostate cancer ,High dose rate brachytherapy ,Medical physics. Medical radiology. Nuclear medicine ,medicine ,Radiology, Nuclear Medicine and imaging ,Original Research Article ,RC254-282 ,Radiation ,medicine.diagnostic_test ,business.industry ,Ultrasound ,Cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Dominant intraprostatic lesion ,High-Dose Rate Brachytherapy ,Histopathology ,Targeted radiation therapy ,medicine.symptom ,business ,Nuclear medicine - Abstract
Highlights • This paper evaluated lesion-directed prostatic high dose rate brachytherapy. • Lesions defined by prostate specific membrane antigen positron emission tomography. • Dose escalation was confirmed using whole-mount digital histology. • Targeting lesions led to significantly higher dose to high-grade histologic cancer., Background and purpose Prostate specific membrane antigen positron emission tomography imaging (PSMA-PET) has demonstrated potential for intra-prostatic lesion localization. We leveraged our existing database of co-registered PSMA-PET imaging with cross sectional digitized pathology to model dose coverage of histologically-defined prostate cancer when tailoring brachytherapy dose escalation based on PSMA-PET imaging. Materials and methods Using a previously-developed automated approach, we created segmentation volumes delineating underlying dominant intraprostatic lesions for ten men with co-registered pathology-imaging datasets. To simulate realistic high-dose-rate brachytherapy (HDR-BT) treatments, we registered the PSMA-PET-defined segmentation volumes and underlying cancer to 3D trans-rectal ultrasound images of HDR-BT cases where 15 Gray (Gy) was delivered. We applied dose/volume optimization to focally target the dominant intraprostatic lesion identified on PSMA-PET. We then compared histopathology dose for all high-grade cancer within whole-gland treatment plans versus PSMA-PET-targeted plans. Histopathology dose was analyzed for all clinically significant cancer with a Gleason score of 7or greater. Results The standard whole-gland plans achieved a median [interquartile range] D98 of 15.2 [13.8–16.4] Gy to the histologically-defined cancer, while the targeted plans achieved a significantly higher D98 of 16.5 [15.0–19.0] Gy (p = 0.007). Conclusion This study is the first to use digital histology to confirm the effectiveness of PSMA-PET HDR-BT dose escalation using automatically generated contours. Based on the findings of this study, PSMA-PET lesion dose escalation can lead to increased dose to the ground truth histologically defined cancer.
- Published
- 2021
15. Personalization of Visual Scene Displays
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David R. Beukelman, Amber Thiessen, and Susan Fager
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Linguistics and Language ,business.industry ,Usability ,Language and Linguistics ,Preference ,Personalization ,Developmental psychology ,Age and gender ,Speech and Hearing ,Augmentative and alternative communication ,Aphasia ,medicine ,Young adult ,medicine.symptom ,Psychology ,business - Abstract
Visual scene displays (VSDs) are becoming an increasingly popular method of message representation within augmentative and alternative communication (AAC) supports; however, design factors can influence the effectiveness of these images as communication supports. One issue that has come to light in recent years is the fact that selecting personalized VSDs, which depict the person with complex communication needs or an individual with whom they are familiar, are preferred over generic VSDs, which depict unfamiliar individuals. Although personalization is likely an important factor in the usability of VSDs, these images may be difficult for clinicians to obtain. As such, compromises must be identified. The purpose of this study was to explore the effects of controlling personal relevance factors (i.e., age and gender of the people depicted in generic VSDs) on the image preference patterns of adults with and without aphasia. Results from three very preliminary study summaries indicate that gender and age are both mitigating factors in image preference, as males tended to indicate preference for VSDs containing males over those containing females. In addition, females tended to indicate preference for females of a similar age depicted in VSDs.
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- 2021
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16. Diagnostik und Therapie von statinassoziierten Muskelsymptomen
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Elisabeth Steinhagen-Thiessen, Simone Spuler, Nikolaus Buchmann, Elisabetta Gazzerro, Stefanie Grunwald, Thomas Bobbert, Dominik Spira, Tim Hollstein, and Ursula Kassner
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Gynecology ,03 medical and health sciences ,medicine.medical_specialty ,0302 clinical medicine ,business.industry ,Internal Medicine ,Medicine ,030212 general & internal medicine ,030204 cardiovascular system & hematology ,business - Abstract
Statine zahlen zu den am haufigsten verordneten Medikamenten deutschlandweit. Ihr Nutzen in der Senkung des kardiovaskularen Risikos ist unbestritten. Dennoch klagen viele Patienten uber Nebenwirkungen unter Statintherapie, wozu insbesondere statinassoziierte Muskelsymptome (SAMS) zahlen. Diese sind trotz ihrer relativen Haufigkeit schwer zu erfassen und objektiv zu diagnostizieren, da der Zeitraum bis zum ersten Auftreten von Symptomen, die Art der Beschwerden und der Schweregrad der Muskelprobleme sehr stark variieren. In diesem narrativen Review werden die Ursachen der SAMS sowie neue Moglichkeiten zur Diagnostik und Therapie zusammengefasst.
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- 2021
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17. Deceased-Donor Acute Kidney Injury and BK Polyomavirus in Kidney Transplant Recipients
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Chirag R. Parikh, Bernd Schröppel, Peter P. Reese, Sherry G. Mansour, Jonathan S. Bromberg, Sumit Mohan, Mona D. Doshi, Francis L. Weng, Enver Akalin, Meera N. Harhay, Heather Thiessen-Philbrook, Yaqi Jia, Daniel C. Brennan, Pooja Singh, Isaac E. Hall, and Thangamani Muthukumar
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Adult ,Male ,medicine.medical_specialty ,Tissue and Organ Procurement ,Epidemiology ,viruses ,030232 urology & nephrology ,030230 surgery ,Critical Care and Intensive Care Medicine ,Lower risk ,03 medical and health sciences ,Postoperative Complications ,0302 clinical medicine ,Internal medicine ,Cadaver ,medicine ,Humans ,Prospective Studies ,Prospective cohort study ,Kidney transplantation ,Aged ,Polyomavirus Infections ,Transplantation ,business.industry ,Hazard ratio ,Acute kidney injury ,virus diseases ,Original Articles ,Acute Kidney Injury ,Middle Aged ,medicine.disease ,Kidney Transplantation ,Confidence interval ,Tumor Virus Infections ,Nephrology ,BK Virus ,Cohort ,Female ,business - Abstract
Background and objectives BK polyomavirus (BKV) infection commonly complicates kidney transplantation, contributing to morbidity and allograft failure. The virus is often donor-derived and influenced by ischemia-reperfusion processes and disruption of structural allograft integrity. We hypothesized that deceased-donor AKI associates with BKV infection in recipients. Design, setting, participants, & measurements We studied 1025 kidney recipients from 801 deceased donors transplanted between 2010 and 2013, at 13 academic centers. We fitted Cox proportional-hazards models for BKV DNAemia (detectable in recipient blood by clinical PCR testing) within 1 year post-transplantation, adjusting for donor AKI and other donor- and recipient-related factors. We validated findings from this prospective cohort with analyses for graft failure attributed to BKV within the Organ Procurement and Transplantation Network (OPTN) database. Results The multicenter cohort mean kidney donor profile index was 49±27%, and 26% of donors had AKI. Mean recipient age was 54±13 years, and 25% developed BKV DNAemia. Donor AKI was associated with lower risk for BKV DNAemia (adjusted hazard ratio, 0.53; 95% confidence interval, 0.36 to 0.79). In the OPTN database, 22,537 (25%) patients received donor AKI kidneys, and 272 (0.3%) developed graft failure from BKV. The adjusted hazard ratio for the outcome with donor AKI was 0.7 (95% confidence interval, 0.52 to 0.95). Conclusions In a well-characterized, multicenter cohort, contrary to our hypothesis, deceased-donor AKI independently associated with lower risk for BKV DNAemia. Within the OPTN database, donor AKI was also associated with lower risk for graft failure attributed to BKV. Podcast This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2021_03_10_CJN18101120_final.mp3
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- 2021
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18. An analysis of plastic surgery training: Belgium and the United Kingdom
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J. Atkins, Nicolas Vermeersch, G. Vissers, F Thiessen, G.J. McArthur, and T Tondu
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medicine.medical_specialty ,Plastic surgery ,RD1-811 ,business.industry ,Short Communication ,General surgery ,medicine ,MEDLINE ,Surgery ,business ,Training (civil) - Published
- 2021
19. Results from the TRIBE-AKI Study found associations between post-operative blood biomarkers and risk of chronic kidney disease after cardiac surgery
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Chirag R. Parikh, Dennis G. Moledina, Wassim Obeid, Francis P. Wilson, Heather Thiessen-Philbrook, Yaqi Jia, Jay L. Koyner, Steven G. Coca, Sherry G. Mansour, Steven Menez, Caroline Liu, Michael G. Shlipak, Amit X. Garg, and Eric McArthur
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0301 basic medicine ,medicine.medical_specialty ,Creatinine ,business.industry ,030232 urology & nephrology ,Urology ,Acute kidney injury ,Renal function ,medicine.disease ,03 medical and health sciences ,chemistry.chemical_compound ,030104 developmental biology ,0302 clinical medicine ,chemistry ,Nephrology ,Cohort ,medicine ,Albuminuria ,Biomarker (medicine) ,medicine.symptom ,Prospective cohort study ,business ,Kidney disease - Abstract
Patients undergoing cardiac surgery are placed under intense physiologic stress. Blood and urine biomarkers measured peri-operatively may help identify patients at higher risk for adverse long-term kidney outcomes.We sought to determine independent associations of various biomarkers with development or progression of chronic kidney disease (CKD) following cardiac surgery. In this sub-study of the prospective cohort –TRIBE-AKI Study, we evaluated 613 adult patients undergoing cardiac surgery in Canada in our primary analysis and tested the association of 40 blood and urinary biomarkers with the primary composite outcome of CKD incidence or progression. In those with baseline estimated glomerular filtration rate (eGFR) over 60 mL/min/1.73m2, we defined CKD incidence as a 25% reduction in eGFR and an eGFR under 60. In those with baseline eGFR under 60 mL/min/1.73m2, we defined CKD progression as a 50% reduction in eGFR or eGFR under 15. Results were evaluated in a replication cohort of 310 patients from one study site in the United States. Over a median follow-up of 5.6 years, 172 patients developed the primary outcome. Each log increase in basic fibroblast growth factor (adjusted hazard ratio 1.52 [95% confidence interval 1.19, 1.93]), Kidney Injury Molecule-1 (1.51 [0.98, 2.32]), N-terminal pro–B-type natriuretic peptide (1.19 [1.01, 1.41]), and tumor necrosis factor receptor 1 (1.75 [1.18, 2.59]) were associated with outcome after adjustment for demographic factors, serum creatinine, and albuminuria. Similar results were noted in the replication cohort. Although there was no interaction by acute kidney injury in continuous analysis, mortality was higher in the no acute kidney injury group by biomarker tertile. Thus, elevated post-operative levels of blood biomarkers following cardiac surgery were independently associated with the development of CKD. These biomarkers can provide additional value in evaluating CKD incidence and progression after cardiac surgery.
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- 2021
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20. Improved PET/MRI accuracy by use of static transmission source in empirically derived hardware attenuation correction
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Jean Théberge, Adam Farag, Frank S. Prato, Jonathan D. Thiessen, and R. Terry Thompson
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Transmission-based attenuation correction ,lcsh:Medical physics. Medical radiology. Nuclear medicine ,lcsh:R895-920 ,Biomedical Engineering ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Hounsfield scale ,medicine ,Radiology, Nuclear Medicine and imaging ,Instrumentation ,Cardiac imaging ,Original Research ,Physics ,Radiation ,medicine.diagnostic_test ,business.industry ,Attenuation ,Magnetic resonance imaging ,Hardware attenuation map ,PET/MRI ,Positron emission tomography ,Cardiac PET ,030220 oncology & carcinogenesis ,Radio frequency ,business ,Correction for attenuation ,Computer hardware - Abstract
Background Accurate quantification of radioactivity, measured by an integrated positron emission tomography (PET) and magnetic resonance imaging (MRI) system, is still a challenge. One aspect of such a challenge is to correct for the hardware attenuation, such as the patient table and radio frequency (RF) resonators. For PET/MRI systems, computed tomography (CT) is commonly used to produce hardware attenuation correction (AC) maps, by converting Hounsfield units (HU) to a linear attenuation coefficients (LAC) map at the PET energy level 511 keV, using a bilinear model. The model does not address beam hardening, nor higher density materials, which can lead to inaccurate corrections. Purpose In this study, we introduce a transmission-based (TX-based) AC technique with a static Germanium-68 (Ge-68) transmission source to generate hardware AC maps using the PET/MRI system itself, without the need for PET or medical CT scanners. The AC TX-based maps were generated for a homogeneous cylinder, made of acrylic as a validator. The technique thereafter was applied to the patient table and posterior part of an RF-phased array used in cardiovascular PET/MRI imaging. The proposed TX-based, and the CT-based, hardware maps were used in reconstructing PET images of one cardiac patient, and the results were analysed and compared. Results The LAC derived by the TX-based method for the acrylic cylinder is estimated to be 0.10851 ± 0.00380 cm−1 compared to the 0.10698 ± 0.00321 cm−1 theoretical value reported in the literature. The PET photon counts were reduced by 8.7 ± 1.1% with the patient table, at the region used in cardiac scans, while the CT-based map, used for correction, over-estimated counts by 4.3 ± 1.3%. Reconstructed in vivo images using TX-based AC hardware maps have shown 4.1 ± 0.9% mean difference compared to those reconstructed images using CT-based AC. Conclusions The LAC of the acrylic cylinder measurements using the TX-based technique was in agreement with those in the literature confirming the validity of the technique. The over-estimation of photon counts caused by the CT-based model used for the patient table was improved by the TX-based technique. Therefore, TX-based AC of hardware using the PET/MRI system itself is possible and can produce more accurate images when compared to the CT-based hardware AC in cardiac PET images.
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- 2021
21. Impact of consultation recordings on patient-reported outcomes in patients with brain tumors: a parallel randomized controlled trial
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Brian Thiessen, Dan Chateau, J. Dean Ruether, Lesley F. Degner, Marshall Pitz, and Thomas F. Hack
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medicine.medical_specialty ,business.industry ,Nursing research ,Brain tumor ,Disease ,Hospital Anxiety and Depression Scale ,medicine.disease ,3. Good health ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Patient satisfaction ,Oncology ,Randomized controlled trial ,law ,030220 oncology & carcinogenesis ,Physical therapy ,Medicine ,Anxiety ,030212 general & internal medicine ,medicine.symptom ,business ,Depression (differential diagnoses) - Abstract
We aimed to determine the impact of a primary treatment consultation recording on perception of being informed, satisfaction with cancer care, satisfaction with the oncologist, and psychological distress in patients with brain tumors. This was a prospective, double-blind, parallel, randomized controlled trial conducted in 3 Canadian cities, in which patients who had their initial treatment consultation recorded were assigned to either receive their digital recording or not. It was hypothesized that patients who received their recording would realize statistically significant benefit on the outcomes of interest at 1 week, 3 months, and 6 months post-consultation in comparison to patients who did not receive their recording. Outcome measures included the following: Patient Satisfaction with Cancer Scale, Hospital Anxiety and Depression Scale, PrestMan Satisfaction with Doctor Scale, and Perception of Being Informed Scale. Of the 246 eligible patients, 133 participated (60.9% male; age M=52.4 years; 53.4% grade IV disease). Of these, 63 received their consultation recording and 70 did not. Intention-to-treat analysis showed that, compared to baseline, patients who received their consultation recording reported being more fully informed about their disease and treatment at 1 week post-consultation than patients who did not receive their recording (p = 0.007), but this finding was no longer significant at 3 and 6 months. There were no statistically significant differences observed between the two groups on the measures of satisfaction with cancer care, satisfaction with the doctor, and depression or anxiety at any assessment time point, though the study was under-powered. The study findings show that primary treatment consultation recordings may provide limited benefit beyond brain tumor patients’ perception of being informed, despite being highly valued by these patients, and high listening rates among their significant others. The lack of statistical power should be considered when interpreting the findings. ClinicalTrials.gov - NCT01866228
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- 2021
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22. Global perspective of familial hypercholesterolaemia: a cross-sectional study from the EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC)
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Jie Lin, Snejana Tisheva, Ishwar C. Verma, Francesco Cipollone, Liam R. Brunham, Florentina Predica, Perla A.C. Gonzalez, Jocelyne Inamo, André R. Miserez, Belma Pojskic, Michel Farnier, Avishay Ellis, Katia Bonomo, Ibrahim Al-Zakwani, Maria Grazia Zenti, Humberto A. Lopez, Khairul Shafiq Ibrahim, Erkin M. Mirrakhimov, Alexey Meshkov, Jose P. de Moura, Muthukkaruppan Annamalai, Raul D. Santos, F. Paillard, Maria Del Ben, Jan Lacko, Miguel T. Rico, Ximena Reyes, Laura E.G. de Leon, Noor Shafina Mohd Nor, Ulrich Julius, Mohammed A. Batais, Dieter Böhm, Ta-Chen Su, Takuya Kobayashi, Magdalena Chmara, Marco Gebauer, Marcos M. Lima-Martínez, Ravshanbek D. Kurbanov, Daisaku Masuda, Amro El-Hadidy, Melanie Schüler, Francisco Fuentes, Florian J. Mayer, Helena Vaverkova, F. Ulrich Beil, Juraj Bujdak, Mario Stoll, Isabelle Ruel, Elena Dorn, Thomas M. Stulnig, Abubaker Elfatih, Rano B. Alieva, Jiri Vesely, Valérie Carreau, Cristina M. Sibaja, Sophie Béliard, Olivier Ziegler, Adriana Branchi, Daniel Schurr, G.B. John Mancini, Tai E. Shyong, Eric L.T. Siang, Mafalda Bourbon, Zerrin Yigit, Meral Kayıkçıoğlu, Jacques Genest, Wei Yu, Michal Vrablík, Shavkat U. Hoshimov, Dan Gaita, Antonio Pipolo, Ashraf H.A. AlQudaimi, Walter Speidl, Gianfranco Parati, Zaliha Ismail, Victoria M. Zubieta, René Valéro, Tomas Salek, Hana Halamkova, Gustavs Latkovskis, Nicole Allendorf-Ostwald, Agnes Perrin, Vladimir Soska, Anastasia Garoufi, Francisco Araujo, Nacu C. Portilla, Thomas Segiet, Charalambos Koumaras, Hila Knobler, Fatih Sivri, Hani Altaradi, Ivan Pećin, Long Jiang, Alexander Dressel, Marlena Woś, Jana Franekova, D. Agapakis, Quitéria Rato, Dirk J. Blom, Marcin A. Bartlomiejczyk, Krzysztof Dyrbuś, Maurizio Averna, Phivos Symeonides, Yung A. Chua, Asim Rana, András Nagy, Juan C.G. Cuellar, Alexander Jäkel, Maya Safarova, Neama Luqman, Amalia-Despoina Koutsogianni, Patrick Tounian, Jose A. Alvarez, Ada Cuevas, Corinna Richter, Sybil Charrieres, Vitaliy Zafiraki, Michalis Doumas, Angela Lux, Thanh Huong Truong, Elaine Chow, José Luis Díaz-Díaz, Jesus R.H. Almada, Sabine Füllgraf-Horst, Gustavo G. Retana, Claudio Borghi, Gianni Biolo, Ivajlo Tzvetkov, Patrícia Pais, Mehmet Akbulut, Kumiko Nagahama, Oner Ozdogan, Frank Leistikow, Jianxun He, Alexander R.M. Lyons, Poranee Ganokroj, Luis E.S. Mendia, Ann-Cathrin Koschker, Gabriela A.G. Ramirez, Dainus Gilis, Karin Balinth, José Ramiro Cruz, Paolo Calabrò, Alberico L. Catapano, Emmanouil Skalidis, Hamida Al-Barwani, Genovefa Kolovou, Carolyn S.P. Lam, Yoto Yotov, Yaacov Henkin, Gabriella Iannuzzo, Aimi Z. Razman, Alma B.M. Rodriguez, Hans Dieplinger, Darlington E. Obaseki, Ursulo J. Herrera, Arcangelo Iannuzzi, Christoph Säly, Elena Olmastroni, Francisco G. Padilla, S.A. Nazli, Ioanna Gouni-Berthold, Miriam Kozárová, Urh Groselj, Igor Shaposhnik, Lorenzo Iughetti, Nawal Rwaili, Cinthia E. Jannes, Andrea Bartuli, Mikhail Voevoda, Marat V. Ezhov, Yanyu Duan, Alper Sonmez, Mustafa Yenercag, Ariane Sultan, Natasza Gilis-Malinowska, Tavintharan Subramaniam, Mohamed Ashraf, Jing Pang, Kota Matsuki, Tao Jiang, Gerald Klose, Eduardo A.R. Rodriguez, Lucie Solcova, Riccardo Sarzani, Mahmoud Traina, Alejandra Vázquez Cárdenas, Gordon A. Francis, Adolat V. Ziyaeva, Ronen Durst, Maciej Banach, Francisco Silva, Heribert Schunkert, Børge G. Nordestgaard, Ziyou Liu, Ahmad Bakhtiar Md Radzi, Hana Rosolova, Andrea Bäßler, Abdulhalim Jamal Kinsara, Noël Peretti, Victor Gurevich, Margarita T. Tamayo, Abdullah Tuncez, Florian Höllerl, Ljubica Stosic, Jianguang Qi, Anja Kirschbaum, Jitendra P.S. Sawhney, Michael Scholl, Kausik K. Ray, Mohamed Bendary, Hapizah Nawawi, Adrienne Tarr, Barbora Nussbaumerova, B.C. Brice, Kurt Huber, Noor Alicezah Mohd Kasim, A. Rahman A. Jamal, Vaclava Palanova, Giacomo Biasucci, Pucong Ye, Eva Cubova, Roopa Mehta, Rüdiger Schweizer, Veronica Zampoleri, Jacek Jóźwiak, Alyaa Al-Khateeb, Jing Hong, Katarina Raslova, Kirsten B. Holven, Tatiana Rozkova, Reinhold Busch, Alexander Klabnik, Konrad Hein, Eloy A.Z. Carrillo, Robin Urbanek, Livia Pisciotta, Fatma Y. Coskun, Jose J.G. Garcia, Valerio Pecchioli, Azra D. Nalbantic, Weerapan Khovidhunkit, Jernej Kovac, Michaela Kadurova, Mohammed Al-Jarallah, Vita Saripo, Christos V. Rizos, Jie Peng, Ang L. Chua, Dorothee Deiss, Nor A.A. Murad, Aneta Stróżyk, See Kwok, Gökhan Alici, Gillian J. Pilcher, John J.P. Kastelein, Dmitry Duplyakov, Calin Lengher, Milena Budikova, C. Azzopardi, Christina Antza, Luis E.V. Arroyo, Khalid Al-Jumaily, Ahmad Al-Sarraf, Carlos A. Aguilar-Salinas, Erkayim Bektasheva, Arta Upena-RozeMicena, Qian Wang, Xumin Wang, Leah Leavit, Radzi Rahmat, Selim Topcu, Željko Reiner, Lorenzo Maroni, Matija Cevc, Elizabeth R. Cooremans, Masatsune Ogura, Tevfik Sabuncu, Ruy D Arjona Villicaña, Andrea Giaccari, Xuesong Fan, Auryan Szalat, Sanjaya Dissanayake, Etienne Khoury, Anja Vogt, Hermann Toplak, Alexis Baass, Isabel Palma, Gaelle Sablon, Dana A. Hay, Ya Yang, Margus Viigimaa, Erik S.G. Stroes, Dror Harats, Konstantin Krychtiuk, Zesen Liu, Aleksandra Parczewska, Yves Cottin, Yichen Qu, Mathilde Di-Fillipo, Agnieszka Konopka, Lamija Pojskic, Guadalupe J. Dominguez, Ahmet Temizhan, Roberto C. Chacon, Ibrahim E. Dural, Qiang Yong, G. Kees Hovingh, Kang Meng, Sandra Kutkiene, Julie Lemale, Reinhold Innerhofer, Alexandros D. Tselepis, Handrean Soran, Wolfgang König, Bassam Atallah, Olena Mitchenko, Jana Cepova, Eduardo M. Rodriguez, Ulrich Laufs, Norhidayah Rosman, Alena Lubasova, V. Durlach, Frederick J. Raal, Elyor Khodzhiboboev, Cristina Pederiva, Hui Yuan, Ashraf Reda, Fahad Alnouri, Konstantinos Tziomalos, Thanh T. Le, Jana Sirotiakova, Régis Hankard, Hector E.A. Cazares, Betsabel Rodriguez, Lenka Pavlickova, Assen Goudev, Julius Katzmann, Diana Boger, Wael Almahmeed, Katarina T. Podkrajsek, Sabina Zambon, Fahri Bayram, Nadia Citroni, Samir Rafla, Vincent Rigalleau, Aleksandr B. Shek, Hani Sabbour, Berenice G. Guzman, Shoshi Shpitzen, Eric Tarantino, Ahmed Bendary, Fedya Nikolov, Jean Bergeron, Stefan Kopf, Iva Rasulic, Gerald F. Watts, Muhammad I.A. Hafidz, Mehmet B. Yilmaz, Kathrin Biolik, Ira A. Haack, Robert A. Hegele, Sonia Dulong, Bartosz Wasąg, Osama Sanad, Susana Correia, Zhenjia Wang, Dana Biedermann, Christel König, Helena Podzimkova, Ihab Daoud, Mohammad Alghamdi, Dražen Perica, László Márk, Iosif Koutagiar, Volkan Dogan, Vladimir Blaha, Chandrashekhar K. Ponde, Katerina Valoskova, Amer A. Jabbar, Azhari Rosman, Sazzli Kasim, Mesut Demir, Ulugbek I. Nizamov, Aldo Ferreira-Hermosillo, Dilek Yesilbursa, Atef Elbahry, Arshad Abdulrasheed, Omer A. Elamin, Vasileios Athyros, Joanna Lewek, Gergely Nagy, Ursula Kassner, Jian Jiao, Klaus G. Parhofer, Charlotte Nzeyimana, Marcin Pajkowski, Stanislav Zemek, Jose J.C. Macías, Cornelius Müller, G. Sfikas, Leopoldo Pérez de Isla, Yulia Ragino, Fahad Al-Zadjali, Abdul Rais Sanusi, Anna Rita Roscini, Jean Ferrières, Selim Jambart, Jean Pierre Rabes, Laura Schreier, Hofit Cohen, Olivier S. Descamps, N. Lalic, Christine Stumpp, Antonio J. Vallejo-Vaz, Jutta Christmann, Manuela Casula, Mariko Harada-Shiba, Olga Lunegova, Ewa Starostecka, Nicolas D. Oca, Alain Carrié, Achilleas Attilakos, Savas Ozer, Andreea Dumitrescu, Jürgen Merke, Urte Aliosaitiene, Evangelos Liberopoulos, Manuel O. De los Rios Ibarra, Maria J. Virtuoso, Alessandro Lupi, Panagiotis Anagnostis, Ruth Agar, Dorota Ferrieres, George Liamis, José Eduardo Krieger, Mariann Harangi, Fouzia Sadiq, Francois Schiele, Saif Kamal, Mária Audikovszky, Peter Baumgartner, Marta Gazzotti, Daniel Gaudet, Ashanty F. Ortega, Marcin Gruchała, Philippe Moulin, Ljiljana Popovic, Luca Bonanni, E. Kiouri, Mika Hori, Chiara Trenti, Elena Repetti, Carlo Sabbà, Sophie Bernard, Alejandro R. Zazueta, Mirac Vural, Jesus R. Gonzalez, C. Stevens, Francesca Carubbi, Wenhui Wen, Sabri Demircan, Kanika I. Dharmayat, Anne Tybjærg-Hansen, Elizabete Terauda, Claudia Zemmrich, Alphonsus Isara, Fabiola L. Sobrevilla, Anell Hernandez Garcia, Ibrahim Sisic, Justin T. I-Shing, Yvonne Winhofer-Stöckl, Luya Wang, Manfred Mayer, Mohanad Al-ageedi, Judith Wiener, Mohammed Al-Kindi, Anis Safura Ramli, Yan Chen, Denis Angoulvant, Aytekin Oguz, K.H. Wolmarans, Claudio Ferri, Tomáš Freiberger, Lubomira Cermakova, Julieta D.M. Portano, Pierre Henri Ducluzeau, Katerina Vonaskova, Levent H. Can, Mario H.F. Andrade, György Paragh, C. Ebenbichler, Karina J.A. Rivera, Alia Khudari, Elisabeth Steinhagen-Thiessen, Ana C. Alves, Victoria Korneva, Sandra Singh, Georgia Anastasiou, Nur S. Hamzan, Massimo Federici, Lale Tokgozoglu, Hector G. Alcala, Oana Moldovan, Giuseppe Mandraffino, Swarup A.V. Shah, Lukas Burda, Ersel Onrat, Manuel de los Reyes Barrera Bustillo, Mirjana Radovic, Arman Postadzhiyan, Nien-Tzu Chang, Aylin Yildirir, Martin Mäser, Bruno Fink, Svetlana Mosteoru, Ulrike Schatz, Luis A.V. Talavera, Magdalena Dusejovska, Richard Ceska, Faisal A. Al-Allaf, T.F. Ashavaid, Gereon Böll, Sona Machacova, Gonzalo C. Vargas, Antonio Gallo, Elina Pantchechnikova, Lukas Tichy, Gersina Rega-Kaun, Moses Elisaf, Branislav Vohnout, Antonio Bossi, Suad Al-Mukhaini, Natasa Rajkovic, Ursa Sustar, Merih Kutlu, Mohamed Sobhy, Britta Otte, Ana M. Medeiros, Borut Jug, Patrick Couture, Rodrigo Alonso, Wolfgang Seeger, Guzal J. Abdullaeva, Ahmet Celik, Nasreen Al-Sayed, Béla Benczúr, Petra E. Khoury, Rafezah Razali, Ma L.R. Osorio, Ruiying Zhang, Monica M.N. Usme, Humberto Garcia Aguilar, Ceyhun Ceyhan, Antje Spens, Christoph J. Binder, Volker Schrader, Terrance C.S. Jin, Neftali E.A. Villa, Aleksandra Michalska-Grzonkowska, Francesco Purrello, Marshima M. Rosli, Vincent Maher, Dilshad Rasul, Ines Colaço, Ornella Guardamagna, Giuliana Mombelli, Khalid F. AlHabib, Fahmi Alkaf, Marianne Benn, Youmna Ghaleb, Arsenio V. Vazquez, Lakshmi L. Reddy, Salih Kilic, Siti Hamimah Sheikh Abdul Kadir, E. Bilianou, Rossella Marcucci, Sandro Muntoni, Kurt Widhalm, Evangelos A. Zacharis, Kuznetsova T. Yu, Eric Bruckert, Antonia Sonntag, Katerina Rehouskova, Josè Pablo Werba, Leobardo Sauque-Reyna, Myra Tilney, Dov Gavishv, A.M. Fiorenza, Zdenka Krejsova, Hong A. Le, Andrey V. Susekov, Isabel Klein, Mai N.T. Nguyen, Andrejs Erglis, Muge Ildizli, Diane Brisson, Salmi Razali, Winfried März, Ovidio Muñiz-Grijalvo, Justyna Borowiec-Wolna, Ingrid Buganova, Ngoc T. Kim, Yue Wu, István Reiber, Jose C.A. Martinez, Pavel Malina, Sandy Elbitar, Stephan Matthias, Ali F. Abdalsahib, Zlatko Fras, Wilson E Sadoh, Lucas Kleemann, Tayfun Sahin, Martin P. Bogsrud, Fabio Pellegatta, Mohamed A. Shafy, Yuntao Li, Martine Paquette, Zuhier Awan, Arturo Pujia, Xiantao Song, Renata Cifkova, Alexandre C. Pereira, Ioannis Skoumas, Roman Cibulka, Tadej Battelino, Mariusz Gąsior, Ghada Kazamel, Lahore S.U. Shah, Eran Leitersdorf, Niki Katsiki, Daniel Elías-López, Khalid Al-Rasadi, Grete Talviste, Sarka Mala, Rocio M. Alvarado, Pavel Kraml, Gerret Paulsen, Angelina Passaro, Zsolt Karányi, Carine Ayoub, Vera Adamkova, Ivo Petrov, Turky H. Almigbal, Rohana Abdul Ghani, Franck Boccara, Brian W. McCrindle, François Martin, Jamshed J. Dalal, Shitong Cheng, Khalid Al-Waili, Chaoyi Zhang, Ramon M. Prado, Lubica Cibickova, Lubomira Fabryova, Tobias Wiesner, Thuhairah Hasrah Abdul Rahman, Tan J. Le, Marcello Arca, Sabine Scholl-Bürgi, Juan R. Saucedo, Georgijs Nesterovics, Carla V.M. Valencia, Alexander Stadelmann, Vasileios Kotsis, Lina Badimon, Shizuya Yamashita, Jose C.M. Oyervides, Lay K. Teh, Susanne Greber-Platzer, Marianne Abifadel, Ruta Meiere, Wibke Reinhard, Pablo Corral, Nina Schmidt, Alain Pradignac, A. David Marais, Marta Jordanova, Marzena Romanowska-Kocejko, Johannes Scholl, Brian Tomlinson, Laura G.G. Herrera, Loukianos S. Rallidis, Pedro Mata, Sameh Emil, Matej Mlinaric, Emile Ferrari, Suraya Abdul Razak, Alexandra Ershova, Andrie G. Panayiotou, Alinna Y.R. Garcia, Kairat Davletov, Katarina Lalic, Doan L. Do, Krzysztof Chlebus, Ricardo A. Carrera, Daniel I.P. Vazquez, Nikolaos Sakkas, Liyuan Xu, Mays Altaey, Aysa Hacioglu, Alexandro J. Martagon, Marta Żarczyńska-Buchowiecka, Michael Schömig, Jürgen Homberger, Andrea Benso, Bertrand Cariou, Ardon Rubinstein, Omer Gedikli, Emre Durakoglugil, Mei Chong, Bahadir Kirilmaz, Suhaila Abd Muid, Jose M. Salgado, Berenice P. Aparicio, Mutaz Alkhnifsawi, Bruno Vergès, Cécile Yelnik, Goreti Lobarinhas, Zaneta Petrulioniene, Sylvia Asenjo, Aytul B. Yildirim, László Bajnok, Vallejo-Vaz A.J., Stevens C.A.T., Lyons A.R.M., Dharmayat K.I., Freiberger T., Hovingh G.K., Mata P., Raal F.J., Santos R.D., Soran H., Watts G.F., Abifadel M., Aguilar-Salinas C.A., Alhabib K.F., Alkhnifsawi M., Almahmeed W., Alnouri F., Alonso R., Al-Rasadi K., Al-Sarraf A., Al-Sayed N., Araujo F., Ashavaid T.F., Banach M., Beliard S., Benn M., Binder C.J., Bogsrud M.P., Bourbon M., Chlebus K., Corral P., Davletov K., Descamps O.S., Durst R., Ezhov M., Gaita D., Genest J., Groselj U., Harada-Shiba M., Holven K.B., Kayikcioglu M., Khovidhunkit W., Lalic K., Latkovskis G., Laufs U., Liberopoulos E., Lima-Martinez M.M., Lin J., Maher V., Marais A.D., Marz W., Mirrakhimov E., Miserez A.R., Mitchenko O., Nawawi H., Nordestgaard B.G., Panayiotou A.G., Paragh G., Petrulioniene Z., Pojskic B., Postadzhiyan A., Raslova K., Reda A., Reiner, Sadiq F., Sadoh W.E., Schunkert H., Shek A.B., Stoll M., Stroes E., Su T.-C., Subramaniam T., Susekov A.V., Tilney M., Tomlinson B., Truong T.H., Tselepis A.D., Tybjaerg-Hansen A., Vazquez Cardenas A., Viigimaa M., Wang L., Yamashita S., Kastelein J.J.P., Bruckert E., Vohnout B., Schreier L., Pang J., Ebenbichler C., Dieplinger H., Innerhofer R., Winhofer-Stockl Y., Greber-Platzer S., Krychtiuk K., Speidl W., Toplak H., Widhalm K., Stulnig T., Huber K., Hollerl F., Rega-Kaun G., Kleemann L., Maser M., Scholl-Burgi S., Saly C., Mayer F.J., Sablon G., Tarantino E., Nzeyimana C., Pojskic L., Sisic I., Nalbantic A.D., Jannes C.E., Pereira A.C., Krieger J.E., Petrov I., Goudev A., Nikolov F., Tisheva S., Yotov Y., Tzvetkov I., Baass A., Bergeron J., Bernard S., Brisson D., Brunham L.R., Cermakova L., Couture P., Francis G.A., Gaudet D., Hegele R.A., Khoury E., Mancini G.B.J., McCrindle B.W., Paquette M., Ruel I., Cuevas A., Asenjo S., Wang X., Meng K., Song X., Yong Q., Jiang T., Liu Z., Duan Y., Hong J., Ye P., Chen Y., Qi J., Li Y., Zhang C., Peng J., Yang Y., Yu W., Wang Q., Yuan H., Cheng S., Jiang L., Chong M., Jiao J., Wu Y., Wen W., Xu L., Zhang R., Qu Y., He J., Fan X., Wang Z., Chow E., Pecin I., Perica D., Symeonides P., Vrablik M., Ceska R., Soska V., Tichy L., Adamkova V., Franekova J., Cifkova R., Kraml P., Vonaskova K., Cepova J., Dusejovska M., Pavlickova L., Blaha V., Rosolova H., Nussbaumerova B., Cibulka R., Vaverkova H., Cibickova L., Krejsova Z., Rehouskova K., Malina P., Budikova M., Palanova V., Solcova L., Lubasova A., Podzimkova H., Bujdak J., Vesely J., Jordanova M., Salek T., Urbanek R., Zemek S., Lacko J., Halamkova H., Machacova S., Mala S., Cubova E., Valoskova K., Burda L., Bendary A., Daoud I., Emil S., Elbahry A., Rafla S., Sanad O., Kazamel G., Ashraf M., Sobhy M., El-Hadidy A., Shafy M.A., Kamal S., Bendary M., Talviste G., Angoulvant D., Boccara F., Cariou B., Carreau V., Carrie A., Charrieres S., Cottin Y., Di-Fillipo M., Ducluzeau P.H., Dulong S., Durlach V., Farnier M., Ferrari E., Ferrieres D., Ferrieres J., Gallo A., hankard R., Inamo J., Lemale J., Moulin P., Paillard F., Peretti N., Perrin A., Pradignac A., Rabes J.P., Rigalleau V., Sultan A., Schiele F., Tounian P., Valero R., Verges B., Yelnik C., Ziegler O., Haack I.A., Schmidt N., Dressel A., Klein I., Christmann J., Sonntag A., Stumpp C., Boger D., Biedermann D., Usme M.M.N., Beil F.U., Klose G., Konig C., Gouni-Berthold I., Otte B., Boll G., Kirschbaum A., Merke J., Scholl J., Segiet T., Gebauer M., Predica F., Mayer M., Leistikow F., Fullgraf-Horst S., Muller C., Schuler M., Wiener J., Hein K., Baumgartner P., Kopf S., Busch R., Schomig M., Matthias S., Allendorf-Ostwald N., Fink B., Bohm D., Jakel A., Koschker A.-C., Schweizer R., Vogt A., Parhofer K., Konig W., Reinhard W., Bassler A., Stadelmann A., Schrader V., Katzmann J., Tarr A., Steinhagen-Thiessen E., Kassner U., Paulsen G., Homberger J., Zemmrich C., Seeger W., Biolik K., Deiss D., Richter C., Pantchechnikova E., Dorn E., Schatz U., Julius U., Spens A., Wiesner T., Scholl M., Rizos C.V., Sakkas N., Elisaf M., Skoumas I., Tziomalos K., Rallidis L., Kotsis V., Doumas M., Athyros V., Skalidis E., Kolovou G., Garoufi A., Bilianou E., Koutagiar I., Agapakis D., Kiouri E., Antza C., Katsiki N., Zacharis E., Attilakos A., Sfikas G., Koumaras C., Anagnostis P., Anastasiou G., Liamis G., Koutsogianni A.-D., Karanyi Z., Harangi M., Bajnok L., Audikovszky M., Mark L., Benczur B., Reiber I., Nagy G., Nagy A., Reddy L.L., Shah S.A.V., Ponde C.K., Dalal J.J., Sawhney J.P.S., Verma I.C., Altaey M., Al-Jumaily K., Rasul D., Abdalsahib A.F., Jabbar A.A., Al-ageedi M., Agar R., Cohen H., Ellis A., Gavishv D., Harats D., Henkin Y., Knobler H., Leavit L., Leitersdorf E., Rubinstein A., Schurr D., Shpitzen S., Szalat A., Casula M., Zampoleri V., Gazzotti M., Olmastroni E., Sarzani R., Ferri C., Repetti E., Sabba C., Bossi A.C., Borghi C., Muntoni S., Cipollone F., Purrello F., Pujia A., Passaro A., Marcucci R., Pecchioli V., Pisciotta L., Mandraffino G., Pellegatta F., Mombelli G., Branchi A., Fiorenza A.M., Pederiva C., Werba J.P., Parati G., Carubbi F., Iughetti L., Iannuzzi A., Iannuzzo G., Calabro P., Averna M, Biasucci G., Zambon S., Roscini A.R., Trenti C., Arca M., Federici M., Del Ben M., Bartuli A., Giaccari A., Pipolo A., Citroni N., Guardamagna O., Bonomo K., Benso A., Biolo G., Maroni L., Lupi A., Bonanni L., Zenti M.G., Matsuki K., Hori M., Ogura M., Masuda D., Kobayashi T., Nagahama K., Al-Jarallah M., Radovic M., Lunegova O., Bektasheva E., Khodzhiboboev E., Erglis A., Gilis D., Nesterovics G., Saripo V., Meiere R., Upena-RozeMicena A., Terauda E., Jambart S., Khoury P.E., Elbitar S., Ayoub C., Ghaleb Y., Aliosaitiene U., Kutkiene S., Kasim N.A.M., Nor N.S.M., Ramli A.S., Razak S.A., Al-Khateeb A., Kadir S.H.S.A., Muid S.A., Rahman T.A., Kasim S.S., Radzi A.B.M., Ibrahim K.S., Razali S., Ismail Z., Ghani R.A., Hafidz M.I.A., Chua A.L., Rosli M.M., Annamalai M., Teh L.K., Razali R., Chua Y.A., Rosman A., Sanusi A.R., Murad N.A.A., Jamal A.R.A., Nazli S.A., Razman A.Z., Rosman N., Rahmat R., Hamzan N.S., Azzopardi C., Mehta R., Martagon A.J., Ramirez G.A.G., Villa N.E.A., Vazquez A.V., Elias-Lopez D., Retana G.G., Rodriguez B., Macias J.J.C., Zazueta A.R., Alvarado R.M., Portano J.D.M., Lopez H.A., Sauque-Reyna L., Herrera L.G.G., Mendia L.E.S., Aguilar H.G., Cooremans E.R., Aparicio B.P., Zubieta V.M., Gonzalez P.A.C., Ferreira-Hermosillo A., Portilla N.C., Dominguez G.J., Garcia A.Y.R., Cazares H.E.A., Gonzalez J.R., Valencia C.V.M., Padilla F.G., Prado R.M., De los Rios Ibarra M.O., Villicana R.D.A., Rivera K.J.A., Carrera R.A., Alvarez J.A., Martinez J.C.A., de los Reyes Barrera Bustillo M., Vargas G.C., Chacon R.C., Andrade M.H.F., Ortega A.F., Alcala H.G., de Leon L.E.G., Guzman B.G., Garcia J.J.G., Cuellar J.C.G., Cruz J.R.G., Garcia A.H., Almada J.R.H., Herrera U.J., Sobrevilla F.L., Rodriguez E.M., Sibaja C.M., Rodriguez A.B.M., Oyervides J.C.M., Vazquez D.I.P., Rodriguez E.A.R., Osorio M.L.R., Saucedo J.R., Tamayo M.T., Talavera L.A.V., Arroyo L.E.V., Carrillo E.A.Z., Isara A., Obaseki D.E., Al-Waili K., Al-Zadjali F., Al-Zakwani I., Al-Kindi M., Al-Mukhaini S., Al-Barwani H., Rana A., Shah L.S.U., Starostecka E., Konopka A., Lewek J., Bartlomiejczyk M., Gasior M., Dyrbus K., Jozwiak J., Gruchala M., Pajkowski M., Romanowska-Kocejko M., Zarczynska-Buchowiecka M., Chmara M., Wasag B., Parczewska A., Gilis-Malinowska N., Borowiec-Wolna J., Strozyk A., Wos M., Michalska-Grzonkowska A., Medeiros A.M., Alves A.C., Silva F., Lobarinhas G., Palma I., de Moura J.P., Rico M.T., Rato Q., Pais P., Correia S., Moldovan O., Virtuoso M.J., Salgado J.M., Colaco I., Dumitrescu A., Lengher C., Mosteoru S., Meshkov A., Ershova A., Rozkova T., Korneva V., Yu K.T., Zafiraki V., Voevoda M., Gurevich V., Duplyakov D., Ragino Y., Safarova M., Shaposhnik I., Alkaf F., Khudari A., Rwaili N., Al-Allaf F., Alghamdi M., Batais M.A., Almigbal T.H., Kinsara A., AlQudaimi A.H.A., Awan Z., Elamin O.A., Altaradi H., Rajkovic N., Popovic L., Singh S., Stosic L., Rasulic I., Lalic N.M., Lam C., Le T.J., Siang E.L.T., Dissanayake S., I-Shing J.T., Shyong T.E., Jin T.C.S., Balinth K., Buganova I., Fabryova L., Kadurova M., Klabnik A., Kozarova M., Sirotiakova J., Battelino T., Kovac J., Mlinaric M., Sustar U., Podkrajsek K.T., Fras Z., Jug B., Cevc M., Pilcher G.J., Blom D.J., Wolmarans K.H., Brice B.C., Muniz-Grijalvo O., Diaz-Diaz J.L., de Isla L.P., Fuentes F., Badimon L., Martin F., Lux A., Chang N.-T., Ganokroj P., Akbulut M., Alici G., Bayram F., Can L.H., Celik A., Ceyhan C., Coskun F.Y., Demir M., Demircan S., Dogan V., Durakoglugil E., Dural I.E., Gedikli O., Hacioglu A., Ildizli M., Kilic S., Kirilmaz B., Kutlu M., Oguz A., Ozdogan O., Onrat E., Ozer S., Sabuncu T., Sahin T., Sivri F., Sonmez A., Temizhan A., Topcu S., Tuncez A., Vural M., Yenercag M., Yesilbursa D., Yigit Z., Yildirim A.B., Yildirir A., Yilmaz M.B., Atallah B., Traina M., Sabbour H., Hay D.A., Luqman N., Elfatih A., Abdulrasheed A., Kwok S., Oca N.D., Reyes X., Alieva R.B., Kurbanov R.D., Hoshimov S.U., Nizamov U.I., Ziyaeva A.V., Abdullaeva G.J., Do D.L., Nguyen M.N.T., Kim N.T., Le T.T., Le H.A., Tokgozoglu L., Catapano A.L., Ray K.K., Vallejo-Vaz, A. J., Stevens, C. A. T., Lyons, A. R. M., Dharmayat, K. I., Freiberger, T., Hovingh, G. K., Mata, P., Raal, F. J., Santos, R. D., Soran, H., Watts, G. F., Abifadel, M., Aguilar-Salinas, C. A., Alhabib, K. F., Alkhnifsawi, M., Almahmeed, W., Alnouri, F., Alonso, R., Al-Rasadi, K., Al-Sarraf, A., Al-Sayed, N., Araujo, F., Ashavaid, T. F., Banach, M., Beliard, S., Benn, M., Binder, C. J., Bogsrud, M. P., Bourbon, M., Chlebus, K., Corral, P., Davletov, K., Descamps, O. S., Durst, R., Ezhov, M., Gaita, D., Genest, J., Groselj, U., Harada-Shiba, M., Holven, K. B., Kayikcioglu, M., Khovidhunkit, W., Lalic, K., Latkovskis, G., Laufs, U., Liberopoulos, E., Lima-Martinez, M. M., Lin, J., Maher, V., Marais, A. D., Marz, W., Mirrakhimov, E., Miserez, A. R., Mitchenko, O., Nawawi, H., Nordestgaard, B. G., Panayiotou, A. G., Paragh, G., Petrulioniene, Z., Pojskic, B., Postadzhiyan, A., Raslova, K., Reda, A., Sadiq, F., Sadoh, W. E., Schunkert, H., Shek, A. B., Stoll, M., Stroes, E., Su, T. -C., Subramaniam, T., Susekov, A. V., Tilney, M., Tomlinson, B., Truong, T. H., Tselepis, A. D., Tybjaerg-Hansen, A., Vazquez Cardenas, A., Viigimaa, M., Wang, L., Yamashita, S., Kastelein, J. J. P., Bruckert, E., Vohnout, B., Schreier, L., Pang, J., Ebenbichler, C., Dieplinger, H., Innerhofer, R., Winhofer-Stockl, Y., Greber-Platzer, S., Krychtiuk, K., Speidl, W., Toplak, H., Widhalm, K., Stulnig, T., Huber, K., Hollerl, F., Rega-Kaun, G., Kleemann, L., Maser, M., Scholl-Burgi, S., Saly, C., Mayer, F. J., Sablon, G., Tarantino, E., Nzeyimana, C., Pojskic, L., Sisic, I., Nalbantic, A. D., Jannes, C. E., Pereira, A. C., Krieger, J. E., Petrov, I., Goudev, A., Nikolov, F., Tisheva, S., Yotov, Y., Tzvetkov, I., Baass, A., Bergeron, J., Bernard, S., Brisson, D., Brunham, L. R., Cermakova, L., Couture, P., Francis, G. A., Gaudet, D., Hegele, R. A., Khoury, E., Mancini, G. B. J., Mccrindle, B. W., Paquette, M., Ruel, I., Cuevas, A., Asenjo, S., Wang, X., Meng, K., Song, X., Yong, Q., Jiang, T., Liu, Z., Duan, Y., Hong, J., Ye, P., Chen, Y., Qi, J., Li, Y., Zhang, C., Peng, J., Yang, Y., Yu, W., Wang, Q., Yuan, H., Cheng, S., Jiang, L., Chong, M., Jiao, J., Wu, Y., Wen, W., Xu, L., Zhang, R., Qu, Y., He, J., Fan, X., Wang, Z., Chow, E., Pecin, I., Perica, D., Symeonides, P., Vrablik, M., Ceska, R., Soska, V., Tichy, L., Adamkova, V., Franekova, J., Cifkova, R., Kraml, P., Vonaskova, K., Cepova, J., Dusejovska, M., Pavlickova, L., Blaha, V., Rosolova, H., Nussbaumerova, B., Cibulka, R., Vaverkova, H., Cibickova, L., Krejsova, Z., Rehouskova, K., Malina, P., Budikova, M., Palanova, V., Solcova, L., Lubasova, A., Podzimkova, H., Bujdak, J., Vesely, J., Jordanova, M., Salek, T., Urbanek, R., Zemek, S., Lacko, J., Halamkova, H., Machacova, S., Mala, S., Cubova, E., Valoskova, K., Burda, L., Bendary, A., Daoud, I., Emil, S., Elbahry, A., Rafla, S., Sanad, O., Kazamel, G., Ashraf, M., Sobhy, M., El-Hadidy, A., Shafy, M. A., Kamal, S., Bendary, M., Talviste, G., Angoulvant, D., Boccara, F., Cariou, B., Carreau, V., Carrie, A., Charrieres, S., Cottin, Y., Di-Fillipo, M., Ducluzeau, P. H., Dulong, S., Durlach, V., Farnier, M., Ferrari, E., Ferrieres, D., Ferrieres, J., Gallo, A., Hankard, R., Inamo, J., Lemale, J., Moulin, P., Paillard, F., Peretti, N., Perrin, A., Pradignac, A., Rabes, J. P., Rigalleau, V., Sultan, A., Schiele, F., Tounian, P., Valero, R., Verges, B., Yelnik, C., Ziegler, O., Haack, I. A., Schmidt, N., Dressel, A., Klein, I., Christmann, J., Sonntag, A., Stumpp, C., Boger, D., Biedermann, D., Usme, M. M. N., Beil, F. U., Klose, G., Konig, C., Gouni-Berthold, I., Otte, B., Boll, G., Kirschbaum, A., Merke, J., Scholl, J., Segiet, T., Gebauer, M., Predica, F., Mayer, M., Leistikow, F., Fullgraf-Horst, S., Muller, C., Schuler, M., Wiener, J., Hein, K., Baumgartner, P., Kopf, S., Busch, R., Schomig, M., Matthias, S., Allendorf-Ostwald, N., Fink, B., Bohm, D., Jakel, A., Koschker, A. -C., Schweizer, R., Vogt, A., Parhofer, K., Konig, W., Reinhard, W., Bassler, A., Stadelmann, A., Schrader, V., Katzmann, J., Tarr, A., Steinhagen-Thiessen, E., Kassner, U., Paulsen, G., Homberger, J., Zemmrich, C., Seeger, W., Biolik, K., Deiss, D., Richter, C., Pantchechnikova, E., Dorn, E., Schatz, U., Julius, U., Spens, A., Wiesner, T., Scholl, M., Rizos, C. V., Sakkas, N., Elisaf, M., Skoumas, I., Tziomalos, K., Rallidis, L., Kotsis, V., Doumas, M., Athyros, V., Skalidis, E., Kolovou, G., Garoufi, A., Bilianou, E., Koutagiar, I., Agapakis, D., Kiouri, E., Antza, C., Katsiki, N., Zacharis, E., Attilakos, A., Sfikas, G., Koumaras, C., Anagnostis, P., Anastasiou, G., Liamis, G., Koutsogianni, A. -D., Karanyi, Z., Harangi, M., Bajnok, L., Audikovszky, M., Mark, L., Benczur, B., Reiber, I., Nagy, G., Nagy, A., Reddy, L. L., Shah, S. A. V., Ponde, C. K., Dalal, J. J., Sawhney, J. P. S., Verma, I. C., Altaey, M., Al-Jumaily, K., Rasul, D., Abdalsahib, A. F., Jabbar, A. A., Al-ageedi, M., Agar, R., Cohen, H., Ellis, A., Gavishv, D., Harats, D., Henkin, Y., Knobler, H., Leavit, L., Leitersdorf, E., Rubinstein, A., Schurr, D., Shpitzen, S., Szalat, A., Casula, M., Zampoleri, V., Gazzotti, M., Olmastroni, E., Sarzani, R., Ferri, C., Repetti, E., Sabba, C., Bossi, A. C., Borghi, C., Muntoni, S., Cipollone, F., Purrello, F., Pujia, A., Passaro, A., Marcucci, R., Pecchioli, V., Pisciotta, L., Mandraffino, G., Pellegatta, F., Mombelli, G., Branchi, A., Fiorenza, A. M., Pederiva, C., Werba, J. P., Parati, G., Carubbi, F., Iughetti, L., Iannuzzi, A., Iannuzzo, G., Calabro, P., Averna, M., Biasucci, G., Zambon, S., Roscini, A. R., Trenti, C., Arca, M., Federici, M., Del Ben, M., Bartuli, A., Giaccari, A., Pipolo, A., Citroni, N., Guardamagna, O., Bonomo, K., Benso, A., Biolo, G., Maroni, L., Lupi, A., Bonanni, L., Zenti, M. G., Matsuki, K., Hori, M., Ogura, M., Masuda, D., Kobayashi, T., Nagahama, K., Al-Jarallah, M., Radovic, M., Lunegova, O., Bektasheva, E., Khodzhiboboev, E., Erglis, A., Gilis, D., Nesterovics, G., Saripo, V., Meiere, R., Upena-RozeMicena, A., Terauda, E., Jambart, S., Khoury, P. E., Elbitar, S., Ayoub, C., Ghaleb, Y., Aliosaitiene, U., Kutkiene, S., Kasim, N. A. M., Nor, N. S. M., Ramli, A. S., Razak, S. A., Al-Khateeb, A., Kadir, S. H. S. A., Muid, S. A., Rahman, T. A., Kasim, S. S., Radzi, A. B. M., Ibrahim, K. S., Razali, S., Ismail, Z., Ghani, R. A., Hafidz, M. I. A., Chua, A. L., Rosli, M. M., Annamalai, M., Teh, L. K., Razali, R., Chua, Y. A., Rosman, A., Sanusi, A. R., Murad, N. A. A., Jamal, A. R. A., Nazli, S. A., Razman, A. Z., Rosman, N., Rahmat, R., Hamzan, N. S., Azzopardi, C., Mehta, R., Martagon, A. J., Ramirez, G. A. G., Villa, N. E. A., Vazquez, A. V., Elias-Lopez, D., Retana, G. G., Rodriguez, B., Macias, J. J. C., Zazueta, A. R., Alvarado, R. M., Portano, J. D. M., Lopez, H. A., Sauque-Reyna, L., Herrera, L. G. G., Mendia, L. E. S., Aguilar, H. G., Cooremans, E. R., Aparicio, B. P., Zubieta, V. M., Gonzalez, P. A. C., Ferreira-Hermosillo, A., Portilla, N. C., Dominguez, G. J., Garcia, A. Y. R., Cazares, H. E. A., Gonzalez, J. R., Valencia, C. V. M., Padilla, F. G., Prado, R. M., De los Rios Ibarra, M. O., Villicana, R. D. A., Rivera, K. J. A., Carrera, R. A., Alvarez, J. A., Martinez, J. C. A., de los Reyes Barrera Bustillo, M., Vargas, G. C., Chacon, R. C., Andrade, M. H. F., Ortega, A. F., Alcala, H. G., de Leon, L. E. G., Guzman, B. G., Garcia, J. J. G., Cuellar, J. C. G., Cruz, J. R. G., Garcia, A. H., Almada, J. R. H., Herrera, U. J., Sobrevilla, F. L., Rodriguez, E. M., Sibaja, C. M., Rodriguez, A. B. M., Oyervides, J. C. M., Vazquez, D. I. P., Rodriguez, E. A. R., Osorio, M. L. R., Saucedo, J. R., Tamayo, M. T., Talavera, L. A. V., Arroyo, L. E. V., Carrillo, E. A. Z., Isara, A., Obaseki, D. E., Al-Waili, K., Al-Zadjali, F., Al-Zakwani, I., Al-Kindi, M., Al-Mukhaini, S., Al-Barwani, H., Rana, A., Shah, L. S. U., Starostecka, E., Konopka, A., Lewek, J., Bartlomiejczyk, M., Gasior, M., Dyrbus, K., Jozwiak, J., Gruchala, M., Pajkowski, M., Romanowska-Kocejko, M., Zarczynska-Buchowiecka, M., Chmara, M., Wasag, B., Parczewska, A., Gilis-Malinowska, N., Borowiec-Wolna, J., Strozyk, A., Wos, M., Michalska-Grzonkowska, A., Medeiros, A. M., Alves, A. C., Silva, F., Lobarinhas, G., Palma, I., de Moura, J. P., Rico, M. T., Rato, Q., Pais, P., Correia, S., Moldovan, O., Virtuoso, M. J., Salgado, J. M., Colaco, I., Dumitrescu, A., Lengher, C., Mosteoru, S., Meshkov, A., Ershova, A., Rozkova, T., Korneva, V., Yu, K. T., Zafiraki, V., Voevoda, M., Gurevich, V., Duplyakov, D., Ragino, Y., Safarova, M., Shaposhnik, I., Alkaf, F., Khudari, A., Rwaili, N., Al-Allaf, F., Alghamdi, M., Batais, M. A., Almigbal, T. H., Kinsara, A., Alqudaimi, A. H. A., Awan, Z., Elamin, O. A., Altaradi, H., Rajkovic, N., Popovic, L., Singh, S., Stosic, L., Rasulic, I., Lalic, N. M., Lam, C., Le, T. J., Siang, E. L. T., Dissanayake, S., I-Shing, J. T., Shyong, T. E., Jin, T. C. S., Balinth, K., Buganova, I., Fabryova, L., Kadurova, M., Klabnik, A., Kozarova, M., Sirotiakova, J., Battelino, T., Kovac, J., Mlinaric, M., Sustar, U., Podkrajsek, K. T., Fras, Z., Jug, B., Cevc, M., Pilcher, G. J., Blom, D. J., Wolmarans, K. H., Brice, B. C., Muniz-Grijalvo, O., Diaz-Diaz, J. L., de Isla, L. P., Fuentes, F., Badimon, L., Martin, F., Lux, A., Chang, N. -T., Ganokroj, P., Akbulut, M., Alici, G., Bayram, F., Can, L. H., Celik, A., Ceyhan, C., Coskun, F. Y., Demir, M., Demircan, S., Dogan, V., Durakoglugil, E., Dural, I. E., Gedikli, O., Hacioglu, A., Ildizli, M., Kilic, S., Kirilmaz, B., Kutlu, M., Oguz, A., Ozdogan, O., Onrat, E., Ozer, S., Sabuncu, T., Sahin, T., Sivri, F., Sonmez, A., Temizhan, A., Topcu, S., Tuncez, A., Vural, M., Yenercag, M., Yesilbursa, D., Yigit, Z., Yildirim, A. B., Yildirir, A., Yilmaz, M. B., Atallah, B., Traina, M., Sabbour, H., Hay, D. A., Luqman, N., Elfatih, A., Abdulrasheed, A., Kwok, S., Oca, N. D., Reyes, X., Alieva, R. B., Kurbanov, R. D., Hoshimov, S. U., Nizamov, U. I., Ziyaeva, A. V., Abdullaeva, G. J., Do, D. L., Nguyen, M. N. T., Kim, N. T., Le, T. T., Le, H. A., Tokgozoglu, L., Catapano, A. L., Ray, K. K., and EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC), Borghi C
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Male ,Settore MED/09 - Medicina Interna ,Arterial disease ,Cross-sectional study ,Adult population ,Coronary Disease ,Disease ,Global Health ,Medical and Health Sciences ,Doenças Cardio e Cérebro-vasculares ,Anticholesteremic Agent ,Monoclonal ,Prevalence ,Registries ,Familial Hypercholesterolemia ,Humanized ,Stroke ,11 Medical and Health Sciences ,LS2_9 ,Studies Collaboration ,Anticholesteremic Agents ,General Medicine ,Heart Disease Risk Factor ,Middle Aged ,FHSC global registry data ,Europe ,Treatment Outcome ,Lower prevalence ,Guidance ,lipids (amino acids, peptides, and proteins) ,Female ,Proprotein Convertase 9 ,Familial hypercholesterolaemia ,Life Sciences & Biomedicine ,Human ,Adult ,medicine.medical_specialty ,Combination therapy ,FHSC global registry, heterozygous familial hypercholesterolaemia ,Cardiovascular risk factors ,Antibodies, Monoclonal, Humanized ,Insights ,Antibodies ,NO ,Hyperlipoproteinemia Type II ,Clinician ,Medicine, General & Internal ,Internal medicine ,General & Internal Medicine ,Health Sciences ,medicine ,Humans ,EAS Familial Hypercholesterolaemia Studies Collaboration (FHSC) ,Cross-Sectional Studie ,Science & Technology ,Global Perspective ,business.industry ,Cholesterol, LDL ,medicine.disease ,Cross-Sectional Studies ,Heart Disease Risk Factors ,Hydroxymethylglutaryl-CoA Reductase Inhibitor ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,business - Abstract
Background The European Atherosclerosis Society Familial Hypercholesterolaemia Studies Collaboration (FHSC) global registry provides a platform for the global surveillance of familial hypercholesterolaemia through harmonisation and pooling of multinational data. In this study, we aimed to characterise the adult population with heterozygous familial hypercholesterolaemia and described how it is detected and managed globally. Methods Using FHSC global registry data, we did a cross-sectional assessment of adults (aged 18 years or older) with a clinical or genetic diagnosis of probable or definite heterozygous familial hypercholesterolaemia at the time they were entered into the registries. Data were assessed overall and by WHO regions, sex, and index versus non-index cases. Findings Of the 61 612 individuals in the registry, 42 167 adults (21 999 [53.6%] women) from 56 countries were included in the study. Of these, 31 798 (75.4%) were diagnosed with the Dutch Lipid Clinic Network criteria, and 35 490 (84.2%) were from the WHO region of Europe. Median age of participants at entry in the registry was 46.2 years (IQR 34.3-58.0); median age at diagnosis of familial hypercholesterolaemia was 44.4 years (32.5-56.5), with 40.2% of participants younger than 40 years when diagnosed. Prevalence of cardiovascular risk factors increased progressively with age and varied by WHO region. Prevalence of coronary disease was 17.4% (2.1% for stroke and 5.2% for peripheral artery disease), increasing with concentrations of untreated LDL cholesterol, and was about two times lower in women than in men. Among patients receiving lipid-lowering medications, 16 803 (81.1%) were receiving statins and 3691 (21.2%) were on combination therapy, with greater use of more potent lipid-lowering medication in men than in women. Median LDL cholesterol was 5.43 mmol/L (IQR 4.32-6.72) among patients not taking lipid-lowering medications and 4.23 mmol/L (3.20-5.66) among those taking them. Among patients taking lipid-lowering medications, 2.7% had LDL cholesterol lower than 1.8 mmol/L; the use of combination therapy, particularly with three drugs and with proprotein convertase subtilisin-kexin type 9 inhibitors, was associated with a higher proportion and greater odds of having LDL cholesterol lower than 1.8 mmol/L. Compared with index cases, patients who were non-index cases were younger, with lower LDL cholesterol and lower prevalence of cardiovascular risk factors and cardiovascular diseases (all p, Pfizer Independent Grant for Learning Change [16157823]; Amgen; Merck Sharp Dohme; Sanofi-Aventis; Daiichi Sankyo; Regeneron; National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, UK; NIHR; Czech Ministry of Health [NU20-02-00261]; Canadian Institutes of Health Research; Austrian Heart Foundation; Tyrolean Regional Government; Gulf Heart Association, The EAS FHSC is an academic initiative that has received funding from a Pfizer Independent Grant for Learning & Change 2014 (16157823) and from investigator-initiated research grants to the European Atherosclerosis Society-Imperial College London from Amgen, Merck Sharp & Dohme, Sanofi-Aventis, Daiichi Sankyo, and Regeneron. KKR acknowledges support from the National Institute for Health Research (NIHR) Imperial Biomedical Research Centre, UK. KID acknowledges support from a PhD Studentship from NIHR under the Applied Health Research programme for Northwest London, UK (the views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the NIHR, or the Department of Health). TF was supported by a grant from the Czech Ministry of Health (NU20-02-00261). JG receives support from the Canadian Institutes of Health Research. The Austrian Familial Hypercholesterolaemia registry has been supported by funds from the Austrian Heart Foundation and the Tyrolean Regional Government. The Gulf Familial Hypercholesterolaemia registry was done under the auspices of the Gulf Heart Association.
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- 2021
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23. Simultaneous measurements of myocardial glucose metabolism and extracellular volumes with hybrid PET/MRI using concurrent injections of Gd-DTPA and [18F]FDG
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Benjamin Wilk, Jonathan D. Thiessen, H Smailovic, Frank S. Prato, Jane Sykes, John Butler, Gerald Wisenberg, and J Hicks
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business.industry ,Glucose uptake ,Significant difference ,Washout ,Heparin ,030204 cardiovascular system & hematology ,Carbohydrate metabolism ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Extracellular fluid ,medicine ,Extracellular ,Radiology, Nuclear Medicine and imaging ,Bolus (digestion) ,Cardiology and Cardiovascular Medicine ,business ,Nuclear medicine ,medicine.drug - Abstract
The aims of this study were to investigate the application of a constant infusion (CI) to mitigate the issue of constantly changing Gd-DTPA contrast levels in a bolus injection for extracellular volume (ECV) measurements by (a) comparing a CI alone to a bolus alone and a bolus followed by CI in healthy myocardium, (b) evaluating the impact of glucose suppression using heparin on ECV. Five healthy canine subjects were imaged to compare three different protocols for injecting Gd-DTPA and FDG: bolus alone, CI alone, bolus followed by CI. Suppression of myocardial glucose uptake was induced using a continuous infusion of 20% lipid at a rate of 0.25 mL·min−1·kg−1 as well as 2000 units of intravenous heparin injected 20 minutes prior to FDG/Gd-DTPA injection. There was no significant effect on ECV measurement when heparin was used for glucose suppression at equilibrium irrespective of infusion protocol). Measurements of ECV in myocardium, regardless of infusion protocol showed no significant difference at all time points (P = 0.21) prior to washout. The suppression of myocardial uptake of [18F]FDG with heparin did not alter the determination of myocardial ECV though a larger sample size may show differences. Further, the infusion protocol (bolus or constant infusion) had no effect on the calculated ECV.
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- 2021
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24. Analysis of Internet-Based Search Patterns Utilized by Glioma Patients as Information Source
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Sharon L Kipfer, Chloe Ah-Ryung Lim, Fan Yang, Paris-Ann Ingledew, Rosemary Cashman, Nafisha Lalani, and Brian Thiessen
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medicine.medical_specialty ,Descriptive statistics ,business.industry ,Public Health, Environmental and Occupational Health ,Qualitative property ,Grounded theory ,Unique identifier ,03 medical and health sciences ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,Family medicine ,Information source ,Medicine ,The Internet ,030212 general & internal medicine ,Web resource ,business ,Patient education - Abstract
The aim of this study is to assess the Internet usage pattern amongst glioma patients and to characterize its impact in their decision-making and clinical interactions. Glioma patients attending a tertiary cancer center between June and December 2019 were invited to participate in this study. A 26-item survey consisting of closed and open-ended questions was distributed with a unique identifier. Quantitative data were analyzed with descriptive statistics using SPSS Statistical package, and qualitative data with grounded theory approach. Thirty-two patients completed the survey. Demographics varied in age, time since diagnosis, glioma type, and level of education. Eighty-one percent were identified as “Internet users” who sought online glioma information. Google was the most popular search engine (96%), with “glioma” being the most frequent search term. The selection of websites often relied on perceived credibility and top search hits. The most searched topic was prognosis (73%). The majority of patients found that online information was easy to understand, and this did not vary significantly amongst age groups. Website quality was always assessed by 60% of patients. Only 62% patients found the Internet a useful resource, and 70% patients found it facilitated their understanding. Most patients discussed their Internet findings with a physician, largely regarding concerns about reliability. There is variable glioma information available online. Patients with glioma use the Internet as a resource, with variable impact on their interactions and decision-making. This information can be used by physicians, educators, and website developers to support glioma patients’ needs.
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- 2021
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25. Tracking the progress of inflammation with PET/MRI in a canine model of myocardial infarction
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B. Wilk, John Butler, Jane Sykes, Michael S. Kovacs, Frank S. Prato, Gerald Wisenberg, H Smailovic, and Jonathan D. Thiessen
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medicine.medical_specialty ,business.industry ,Glucose uptake ,Scar tissue ,Inflammation ,030204 cardiovascular system & hematology ,medicine.disease ,Pathophysiology ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Extracellular fluid ,cardiovascular system ,medicine ,Multiple time ,Cardiology ,Radiology, Nuclear Medicine and imaging ,cardiovascular diseases ,Myocardial infarction ,medicine.symptom ,Cardiology and Cardiovascular Medicine ,business ,Canine model - Abstract
Following myocardial infarction, tissue undergoes pathophysiological changes involving inflammation and scar tissue formation. However, little is known about the pathophysiology and prognostic significance of any corresponding changes in remote myocardium. The aim of this study was to investigate the potential application of a combined constant infusion of 18F-FDG and Gd-DTPA to quantitate inflammation and extracellular volume (ECV) from 3 to 40 days after myocardial infarction. Eight canine subjects were imaged at multiple time points following induction of an MI with a 60-minute concurrent constant infusion of Gd-DTPA and 18F-FDG using a hybrid PET/MRI scanner. There was a significant increase in ECV in remote myocardium on day 14 post-MI (P = .034) and day 21 (P = .021) compared to the baseline. ECV was significantly elevated in the infarcted myocardium compared to remote myocardium at all time points post-MI (days 3, 7, 14, 21, and 40) (P < .001) while glucose uptake was also increased within the infarct on days 3, 7, 14, and 21 but not 40. The significant increase in ECV in remote tissue may be due to an ongoing inflammatory process in the early weeks post-infarct.
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- 2021
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26. How to Deal with an Intraoperative Thrombosis of Microvascular Anastomosis
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Gino Vissers, Filip Thiessen, Tomas Menovsky, Lawrence Van Look, and Thierry Tondu
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medicine.medical_specialty ,Ecology ,business.industry ,medicine.medical_treatment ,Arteriotomy ,Anastomosis ,medicine.disease ,Balloon ,Thrombosis ,Surgery ,Insect Science ,Occlusion ,medicine ,Thrombus ,Complication ,business ,Ecology, Evolution, Behavior and Systematics ,Microvascular occlusion - Abstract
Background: Intraoperative thrombosis during microvascular surgery is a nasty complication. Most intraoperative thromboses occur at the proximity of the anastomosis and microsurgical salvage techniques are needed to correct the complication. The aim of this article is to provide an overview of basic clinical patency testing and microsurgical salvage techniques. Methods: A search of the literature up to November 2020 was performed, using PubMed and Web of Science databases. Articles reporting on clinical intraoperative patency testing and/or salvage techniques in microvascular surgery were included. Results: Comprehensive illustrations of intraoperative clinical patency testing include: pulsation pattern, flicker test and milking test. The following surgical salvage techniques for both end-to-end and end-to-side intraoperative microvascular occlusion management are described: suture-line thrombectomy, thrombectomy through arteriotomy, anastomotic resection with complete re-anastomosis and, balloon extraction. Conclusion: Decision making in surgical salvage techniques for microvascular thrombosis depends on localization of the thrombus and the surgeon’s experience and preference. In case of any doubt, it is better to reopen a few sutures and have a clear inspection of the anastomosis in order to prevent redo surgeries. This paper serves as a guide for especially the starting microsurgeon to clinically and surgically identify and handle an intraoperative microvascular anastomosis thrombosis and occlusion.
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- 2021
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27. Lower Cardiorespiratory Fitness Is Associated With a Smaller and Stiffer Heart
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Marcus Dörr, Sabine Schipf, Martin Bahls, Till Ittermann, Marcello Ricardo Paulista Markus, Elisabeth Steinhagen-Thiessen, Henry Völzke, Robin Bülow, Ramachandran S. Vasan, Ulrike Siewert-Markus, Christine Julia Drzyzga, Stephan B. Felix, Heribert Schunkert, Sebastian E. Baumeister, and Ralf Ewert
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medicine.medical_specialty ,business.industry ,Physical activity ,Cardiorespiratory fitness ,030204 cardiovascular system & hematology ,medicine.disease ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Atrophy ,Predictive value of tests ,Internal medicine ,Heart rate ,Cardiology ,medicine ,Radiology, Nuclear Medicine and imaging ,Cardiology and Cardiovascular Medicine ,business - Abstract
Contrary to the “athlete’s heart,” a condition associated with high levels of exercise training (ET) and physical activity (PA), it is not well known if low levels of PA may be associated with decreased left ventricular (LV) mass (LVM) or even cardiac atrophy. This is determined by a sedentary
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- 2021
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28. Economic evaluation of whole genome sequencing for pathogen identification and surveillance - results of case studies in Europe and the Americas 2016 to 2019
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Aleisha Reimer, Gary Van Domselaar, Jonathan Green, Frank Møller Aarestrup, Theo M. Bestebroer, Jonathan R Johnston, Marion Koopmans, Kris Best, Dirk Höper, Josefina Campos, Martin Beer, Claudia Wylezich, Isabel Chinen, Shane Thiessen, Helen Everett, Kathie Grant, Ron A. M. Fouchier, Gabriele Casadei, Robert Myers, Bas B. Oude Munnink, Catherine Dominguez, Senda Kara, Ami Patel, Anne Pohlmann, Celine Nadon, Stefano Pongolini, Frank Alleweldt, and Virology
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0301 basic medicine ,surveillance systems ,Break-even (economics) ,Epidemiology ,Human influenza ,Cost-Benefit Analysis ,030106 microbiology ,Next Generation Sequencing ,medicine.disease_cause ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Virology ,medicine ,Animals ,Humans ,Whole genome sequencing ,Cost–benefit analysis ,Whole Genome Sequencing ,Research ,Public Health, Environmental and Occupational Health ,Influenza A virus subtype H5N1 ,Economic evaluation ,Economies of scale ,Europe ,Identification (information) ,030104 developmental biology ,Risk analysis (engineering) ,Costs and benefits of pathogen surveillance using WGS ,Salmonella Food Poisoning ,Business ,Americas ,Genome, Bacterial - Abstract
Background Whole genome sequencing (WGS) is increasingly used for pathogen identification and surveillance. Aim We evaluated costs and benefits of routine WGS through case studies at eight reference laboratories in Europe and the Americas which conduct pathogen surveillance for avian influenza (two laboratories), human influenza (one laboratory) and food-borne pathogens (five laboratories). Methods The evaluation focused on the institutional perspective, i.e. the ‘investment case’ for implementing WGS compared with conventional methods, based on costs and benefits during a defined reference period, mostly covering at least part of 2017. A break-even analysis estimated the number of cases of illness (for the example of Salmonella surveillance) that would need to be avoided through WGS in order to ‘break even’ on costs. Results On a per-sample basis, WGS was between 1.2 and 4.3 times more expensive than routine conventional methods. However, WGS brought major benefits for pathogen identification and surveillance, substantially changing laboratory workflows, analytical processes and outbreaks detection and control. Between 0.2% and 1.1% (on average 0.7%) of reported salmonellosis cases would need to be prevented to break even with respect to the additional costs of WGS. Conclusions Even at cost levels documented here, WGS provides a level of additional information that more than balances the additional costs if used effectively. The substantial cost differences for WGS between reference laboratories were due to economies of scale, degree of automation, sequencing technology used and institutional discounts for equipment and consumables, as well as the extent to which sequencers are used at full capacity.
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- 2021
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29. ST2 Predicts Risk of Unplanned Readmission Within 1 Year After Pediatric Congenital Heart Surgery
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Marshall L. Jacobs, Allen D. Everett, Luca A. Vricella, Jeremiah R. Brown, Meagan E Stabler, Cedric Manlhiot, Jeffrey P. Jacobs, Heather Thiessen-Philbrook, Chirag R. Parikh, and Devin M. Parker
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Heart Defects, Congenital ,Male ,Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,Kaplan-Meier Estimate ,030204 cardiovascular system & hematology ,Patient Readmission ,Article ,Elevated serum ,03 medical and health sciences ,Postoperative Complications ,0302 clinical medicine ,Predictive Value of Tests ,Interquartile range ,medicine ,Unplanned readmission ,Humans ,Child ,Proportional Hazards Models ,Retrospective Studies ,business.industry ,Hazard ratio ,Significant difference ,Infant ,Interleukin-1 Receptor-Like 1 Protein ,Surgery ,Survival Rate ,Increased risk ,030228 respiratory system ,Child, Preschool ,Cohort ,Biomarker (medicine) ,Female ,Cardiology and Cardiovascular Medicine ,business ,Biomarkers - Abstract
OBJECTIVES: Approximately 10% to 20% of children are readmitted after congenital heart surgery. Very little is known about biomarkers as predictors of risk of unplanned readmission following pediatric congenital heart surgery. Novel cardiac biomarker ST2 may be associated with risk of unplanned readmission. ST2 concentrations are believed to reflect cardiovascular stress and fibrosis. Our objective was to explore the relationship between pre- and postoperative ST2 biomarker levels and risk of readmission within one year after congenital heart surgery. METHODS: We prospectively enrolled pediatric patients
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- 2020
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30. Destructive per continuitatem spondylodiscitis after endovascular abdominal or thoracic aneurysm repair (EVAR/TEVAR): rare and untreatable?
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Yu-Mi Ryang, Darius Thiessen, Marc Dreimann, Benjamin Schoof, Sven O. Eicker, Patrick Strube, and Martin Stangenberg
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Spondylodiscitis ,medicine.medical_specialty ,Discitis ,medicine.medical_treatment ,Fistula ,030204 cardiovascular system & hematology ,Blood Vessel Prosthesis Implantation ,03 medical and health sciences ,0302 clinical medicine ,Aneurysm ,Lumbar ,medicine ,Humans ,Orthopedics and Sports Medicine ,Abscess ,Retrospective Studies ,business.industry ,Endovascular Procedures ,Stent ,General Medicine ,medicine.disease ,Surgery ,Treatment Outcome ,Orthopedic surgery ,Complication ,business ,030217 neurology & neurosurgery ,Aortic Aneurysm, Abdominal - Abstract
Introduction Very few publications have previously described spondylodiscitis as a potential complication of endovascular aortic procedures (EVAR/TEVAR). We present to our knowledge the first case series of spondylodiscitis following EVAR/TEVAR based on our data base. Particular focus was laid on the complexity of disease treatment and grave outcome perspectives from a spine surgeon’s point of view in this seriously affected patient group. Materials and methods A retrospective analysis and chart review was performed for 11 out of 284 consecutive spondylodiscitis patients who underwent EVAR/TEVAR procedure and developed destructive per continuitatem spondylodiscitis. Results All 11 patients had single or more level destructive spondylodiscitis adjacent to the thoracic/lumbar stent graft. In mean, four surgeries were performed per patient to treat this rare complication. Six out of eleven patients (55%) died within 6 months of first identification of per continuitatem spondylodiscitis. In four patients due to persisting infection of the graft and recurrence of the abscess formation, a persisting fistula from anterior approach to the skin was applied. Conclusions Destructive per continuitatem spondylodiscitis is a rare and severe complication post-EVAR/TEVAR. Clinical and imaging features of anterior paravertebral disease and anterior vertebral body involvement suggest direct continuous spread of the graft infection to the adjacent vertebral column. The mortality rate of these severe infections is extremely high and treatment with a permanent fistula may be one salvage procedure.
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- 2020
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31. PubChem in 2021: new data content and improved web interfaces
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Kim, Sunghwan, Chen, Jie, Cheng, Tiejun, Gindulyte, Asta, He, Jia, He, Siqian, Li, Qingliang, Shoemaker, Benjamin A, Thiessen, Paul A, Yu, Bo, Zaslavsky, Leonid, Zhang, Jian, and Bolton, Evan E
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Coronavirus disease 2019 (COVID-19) ,AcademicSubjects/SCI00010 ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Information Storage and Retrieval ,Biology ,World Wide Web ,03 medical and health sciences ,User-Computer Interface ,0302 clinical medicine ,Information resource ,Drug Discovery ,Genetics ,Database Issue ,Humans ,Data content ,Epidemics ,030304 developmental biology ,0303 health sciences ,Internet ,Data collection ,business.industry ,SARS-CoV-2 ,COVID-19 ,Data model ,030220 oncology & carcinogenesis ,The Internet ,Public Health ,business ,PubChem ,Databases, Chemical ,Software - Abstract
PubChem (https://pubchem.ncbi.nlm.nih.gov) is a popular chemical information resource that serves the scientific community as well as the general public, with millions of unique users per month. In the past two years, PubChem made substantial improvements. Data from more than 100 new data sources were added to PubChem, including chemical-literature links from Thieme Chemistry, chemical and physical property links from SpringerMaterials, and patent links from the World Intellectual Properties Organization (WIPO). PubChem's homepage and individual record pages were updated to help users find desired information faster. This update involved a data model change for the data objects used by these pages as well as by programmatic users. Several new services were introduced, including the PubChem Periodic Table and Element pages, Pathway pages, and Knowledge panels. Additionally, in response to the coronavirus disease 2019 (COVID-19) outbreak, PubChem created a special data collection that contains PubChem data related to COVID-19 and the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
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- 2020
32. Histologic validation of auto-contoured dominant intraprostatic lesions on [18F] DCFPyL PSMA-PET imaging
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Jonathan D. Thiessen, Jose A. Gomez, Stephen E. Pautler, William Pavlosky, Mena Gaed, Madeleine Moussa, John Butler, Wei Liu, Aaron D. Ward, Ryan Alfano, Glenn Bauman, Joseph L. Chin, and Irina Rachinsky
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medicine.medical_specialty ,Focal boosting ,Concordance ,medicine.medical_treatment ,Guided biopsy ,computer.software_genre ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Magnetic resonance imaging ,0302 clinical medicine ,Margin (machine learning) ,Voxel ,Biopsy ,Medicine ,Radiology, Nuclear Medicine and imaging ,Prostate cancer ,medicine.diagnostic_test ,business.industry ,Prostatectomy ,Hematology ,Dominant intraprostatic lesion ,Oncology ,Positron emission tomography ,030220 oncology & carcinogenesis ,Histopathology ,Positron-emission tomography ,business ,Nuclear medicine ,computer - Abstract
Background PSMA-PET 1 has shown good concordance with histology, but there is a need to investigate the ability of PSMA-PET to delineate DIL 2 boundaries for guided biopsy and focal therapy planning. Objective To determine threshold and margin combinations that satisfy the following criteria: ≥95% sensitivity with max specificity and ≥95% specificity with max sensitivity. Design, setting and participants We registered pathologist-annotated whole-mount mid-gland prostatectomy histology sections cut in 4.4 mm intervals from 12 patients to pre-surgical PSMA-PET/MRI by mapping histology to ex-vivo imaging to in-vivo imaging. We generated PET-derived tumor volumes using boundaries defined by thresholded PET volumes from 1–100% of SUV 3 max in 1% intervals. At each interval, we applied margins of 0–30 voxels in one voxel increments, giving 3000 volumes/patient. Outcome measurements Mean and standard deviation of sensitivity and specificity for cancer detection within the 2D oblique histologic planes that intersected with the 3D PET volume for each patient. Results and limitations A threshold of 67% SUV max with an 8.4 mm margin achieved a (mean ± std.) sensitivity of 95.0 ± 7.8% and specificity of 76.4 ± 14.7%. A threshold of 81% SUV max with a 5.1 mm margin achieved sensitivity of 65.1 ± 28.4% and specificity of 95.1 ± 5.2%. Conclusions Preliminary evidence of thresholding and margin expansion of PSMA-PET images targeted at DILs validated with histopathology demonstrated excellent mean sensitivity and specificity in the setting of focal therapy/boosting and guided biopsy. These parameters can be used in a larger validation study supporting clinical translation.
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- 2020
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33. Development of a high resolution scanning RGB laser headlamp
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Eugen Thiessen and Roman Danov
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Materials science ,business.industry ,Headlamp ,Optical engineering ,Resolution (electron density) ,020302 automobile design & engineering ,02 engineering and technology ,Laser ,01 natural sciences ,Atomic and Molecular Physics, and Optics ,Electronic, Optical and Magnetic Materials ,law.invention ,010309 optics ,Optics ,0203 mechanical engineering ,law ,0103 physical sciences ,RGB color model ,business ,Instrumentation - Abstract
Recent rapid progress in automotive lighting technology led to the emergence of headlamps featuring a large variety of light distributions that are highly adapted to provide best possible road illumination in particular traffic situations. Visual assistance systems which highlight relevant objects or project symbols to communicate with other traffic participants, further improve road safety. Implementing all these functions within a single headlamp usually requires the use of several additional modules with high and low resolution. This multitude of modules impacts the installation space, styling and cost of automotive headlamps. This paper presents a high-resolution red-green-blue (RGB) laser headlamp module which provides a good illumination of the road and can also be used for external communication purposes. A specially developed laser scanning unit, based on a bi-axial resonant micro-electro-mechanical systems (MEMS) scanner and a high-power RGB laser, serves as the technical basis. Three module concepts are designed using light simulation, constructed as computer-aided design (CAD) models and integrated into a serial headlamp package. The concepts are based on design, simulation and measurement data of the scanning unit.
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- 2020
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34. Pharmacists as Frontline Responders During COVID-19
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Kaci Thiessen, Justin B Usery, and Angel Lopez-Candales
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Coronavirus disease 2019 (COVID-19) ,Pneumonia, Viral ,MEDLINE ,Telehealth ,Primary care ,030204 cardiovascular system & hematology ,Pharmacists ,Health Services Accessibility ,Betacoronavirus ,03 medical and health sciences ,Professional Role ,0302 clinical medicine ,Nursing ,Ambulatory care ,Health care ,Pandemic ,Humans ,030212 general & internal medicine ,Pandemics ,health care economics and organizations ,Primary Health Care ,SARS-CoV-2 ,business.industry ,Health Policy ,COVID-19 ,United States ,Workflow ,Coronavirus Infections ,business - Abstract
The ongoing pandemic has disrupted the health care system, creating challenges for health care workers and patients alike. As workflows and job responsibilities have been adapted to provide care to coronavirus-infected patients, many primary care services have been postponed. This change has led to significant financial impacts that will be difficult to overcome. Ambulatory care pharmacists can help fill gaps both in access to primary care services and in the financial deficit, if given the opportunity to practice at the top of their skillset and bill for their face-to-face and telehealth services both during and after the pandemic.
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- 2020
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35. Further development of condition assessment and structure management of DB Netz AG, by example of tunnels and culverts
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Tomislav Condic‐Marinovic and Andrea Thiessen
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Engineering ,business.industry ,Culvert ,Geotechnical Engineering and Engineering Geology ,business ,Civil engineering ,Condition assessment ,Civil and Structural Engineering - Published
- 2020
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36. Mutation spectrum and polygenic score in German patients with familial hypercholesterolemia
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Claudia Mischung, Elisabeth Steinhagen-Thiessen, Thomas Bobbert, Frieda Bardey, Ursula Kassner, Ilja Demuth, Johannes Helmuth, Thomas Grenkowitz, Lorenz Rieck, Joachim Spranger, and Lars Bertram
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Male ,0301 basic medicine ,Multifactorial Inheritance ,medicine.medical_specialty ,Genotype ,Apolipoprotein B ,Single-nucleotide polymorphism ,Familial hypercholesterolemia ,030105 genetics & heredity ,medicine.disease_cause ,Polymorphism, Single Nucleotide ,Gastroenterology ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,Risk Factors ,Internal medicine ,Genetics ,medicine ,Humans ,Genetic variability ,Genetics (clinical) ,low-density lipoprotein cholesterol ,Mutation ,familial hypercholesterolemia ,biology ,business.industry ,PCSK9 ,Cholesterol, LDL ,Middle Aged ,medicine.disease ,030104 developmental biology ,Receptors, LDL ,Cardiovascular Diseases ,Apolipoprotein B-100 ,LDL receptor ,biology.protein ,Kexin ,Female ,lipids (amino acids, peptides, and proteins) ,Proprotein Convertase 9 ,business ,600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit - Abstract
Autosomal-dominant familial hypercholesterolemia (FH) is characterized by increased plasma concentrations of low-density lipoprotein cholesterol (LDL-C) and a substantial risk to develop cardiovascular disease. Causative mutations in three major genes are known: the LDL receptor gene (LDLR), the apolipoprotein B gene (APOB) and the proprotein convertase subtilisin/kexin 9 gene (PCSK9). We clinically characterized 336 patients suspected to have FH and screened them for disease causing mutations in LDLR, APOB and PCSK9. We genotyped six single nucleotide polymorphisms (SNPs) to calculate a polygenic risk score for the patients and 1,985 controls. 117 patients had a causative variant in one of the analyzed genes. Most variants were found in the LDLR gene (84.9%) with 11 novel mutations. The mean polygenic risk score was significantly higher in FH mutation negative subjects than in FH mutation positive patients (p
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- 2020
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37. Clinical Policy: Critical Issues Related to Opioids in Adult Patients Presenting to the Emergency Department
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Benjamin W. Hatten, Stephen V. Cantrill, Jeffrey S. Dubin, Eric M. Ketcham, Daniel P. Runde, Stephen P. Wall, Stephen J. Wolf, Richard Byyny, Christopher R. Carpenter, Deborah B. Diercks, Seth R. Gemme, Charles J. Gerardo, Steven A. Godwin, Sigrid A. Hahn, Jason S. Haukoos, Sean M. Hickey, Amy Kaji, Heemun Kwok, Bruce M. Lo, Sharon E. Mace, Devorah J. Nazarian, Susan B. Promes, Kaushal H. Shah, Richard D. Shih, Scott M. Silvers, Michael D. Smith, Molly E.W. Thiessen, Christian A. Tomaszewski, Jonathan H. Valente, Justin Winger, Jon Mark Hirshon, Mandie Mims, and Travis Schulz
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medicine.medical_specialty ,Exacerbation ,medicine.drug_class ,MEDLINE ,03 medical and health sciences ,0302 clinical medicine ,Humans ,Medicine ,Short course ,030212 general & internal medicine ,Practice Patterns, Physicians' ,Societies, Medical ,business.industry ,Chronic pain ,030208 emergency & critical care medicine ,Emergency department ,medicine.disease ,United States ,humanities ,Analgesics, Opioid ,Opioid ,Sedative ,Practice Guidelines as Topic ,Emergency medicine ,Emergency Medicine ,Emergency Service, Hospital ,business ,Buprenorphine ,medicine.drug - Abstract
This clinical policy from the American College of Emergency Physicians addresses key issues in opioid management in adult patients presenting to the emergency department. A writing subcommittee conducted a systematic review of the literature to derive evidence-based recommendations to answer the following clinical questions: (1) In adult patients experiencing opioid withdrawal, is emergency department-administered buprenorphine as effective for the management of opioid withdrawal compared with alternative management strategies? (2) In adult patients experiencing an acute painful condition, do the benefits of prescribing a short course of opioids on discharge from the emergency department outweigh the potential harms? (3) In adult patients with an acute exacerbation of noncancer chronic pain, do the benefits of prescribing a short course of opioids on discharge from the emergency department outweigh the potential harms? (4) In adult patients with an acute episode of pain being discharged from the emergency department, do the harms of a short concomitant course of opioids and muscle relaxants/sedative-hypnotics outweigh the benefits? Evidence was graded and recommendations were made based on the strength of the available data.
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- 2020
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38. Dynamic Infrared Thermography (DIRT) in DIEP flap breast reconstruction: A clinical study with a standardized measurement setup
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Ina Vrints, Lawek Berzenji, Nicolas Vermeersch, Jana Van Thielen, Veronique Verhoeven, Filip Thiessen, Wiebren A.A. Tjalma, Gunther Steenackers, Thierry Tondu, Jan Verstockt, and Guy Hubens
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medicine.medical_specialty ,Mammaplasty ,Breast Neoplasms ,Dissection (medical) ,Free flap ,Anastomosis ,03 medical and health sciences ,0302 clinical medicine ,DIEP flap ,medicine ,Humans ,030212 general & internal medicine ,Biology ,Rectus abdominis muscle ,Mastectomy ,Computed tomography angiography ,030219 obstetrics & reproductive medicine ,medicine.diagnostic_test ,business.industry ,Obstetrics and Gynecology ,medicine.disease ,Epigastric Arteries ,eye diseases ,Reproductive Medicine ,Thermography ,Human medicine ,Radiology ,Breast reconstruction ,business ,Perforator flaps - Abstract
Objective: Breast reconstructions with perforator flaps from the lower abdomen, commonly known as Deep Inferior Epigastric artery Perforator flap (DIEP-flap), have become the golden standard for autologous breast reconstruction after breast amputation. During this surgical procedure multiple challenging steps are encountered such as the selection of a suitable perforator that provides sufficient blood supply for the flap, surgical dissection of the chosen perforator, determination of perfusion area of the chosen perforator, microsurgical anastomosis, flap inset and shaping the flap into a breast. The current gold standard for perforator mapping is Computed Tomography Angiography (CTA). However, this is a relatively expensive imaging modality that requires intravenous contrast injection and exposes patients to ionizing radiation. More recently, Dynamic Infrared Thermography (DIRT) has been proposed as an alternative imaging modality for perforator identification. DIRT appears to be an ideal alternative technique not only for the identification of the dominant perforators, but also for the mapping of the individual influence of each perforator on the flap perfusion, to monitor integrity of the perforator after dissection and to monitor the patency of the pedicle of the free flap after the anastomosis, during flap inset and flap shaping. Study design: In this clinical study we present the results of the use of DIRT in 33 DIEP-flaps in 21 patients after mastectomy. The same standardized measurement set-up was used for all the flaps in the pre-, intraand postoperative period. Results: In the pre-operative period DIRT confirmed the location of the 69 perforators shown on the CTA. In the intra-operative period the rate and pattern of rewarming was successfully observed. One perforator was severely damaged during dissection and the DIEP flap was converted to a Muscle Sparing free Transverse Rectus Abdominis Muscle (TRAM) flap, after viability check of the flap by DIRT. DIRT diagnosed one kinking of the pedicle after microsurgical anastomosis. Two flaps were monitored successfully postoperatively. All 33 breast reconstructions were with good outcome. Conclusion: The use of DIRTwith our standardized measurement setup is a useful, non-invasive tool during breast reconstructions with free DIEP-flaps in all the phases of the reconstruction (pre-, intraand post-operative). This study confirms that DIRT with the standardized measurement setup provides information on perforator location, blood supply and patency of the anastomosis without interference with the operating surgeon. (C) 2020 Elsevier B.V. All rights reserved.
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- 2020
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39. Indigenous perspectives on wellness and health in Canada: study protocol for a scoping review
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M. Haworth-Brockman, J. Schneider, P. Moffitt, Lisa Demczuk, Kellie Thiessen, J. Gelowitz, R. Stout, and University of Manitoba
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Scoping review ,Canada ,Well-being ,MEDLINE ,Medicine (miscellaneous) ,lcsh:Medicine ,CINAHL ,Indigenous ,03 medical and health sciences ,0302 clinical medicine ,Protocol ,Humans ,Medicine ,030212 general & internal medicine ,Protocol (science) ,Organizations ,business.industry ,030503 health policy & services ,lcsh:R ,Grey literature ,Circumpolar star ,Public relations ,Review Literature as Topic ,Bibliographic database ,Wellness ,Research Design ,0305 other medical science ,business ,Delivery of Health Care - Abstract
BackgroundIndigenous communities are often portrayed from a deficit-based lens; however, Indigenous communities have self-determined perspectives of health and well-being that are strength based. The objective of this study will be to systematically map the literature on perspectives, concepts, and constructs of wellness and well-being in Indigenous communities in Canada.MethodsA scoping review protocol was designed following the Arksey and O’Malley framework. We will search the following electronic databases (from inception onwards): MEDLINE, EMBASE, Web of Science, CINAHL, Academic Search Complete, Anthropology Plus, Bibliography of Native North Americans, Canadian Business and Current Affairs, and Circumpolar Health Bibliographic Database. Grey literature will be identified through searching dissertation databases, Google Scholar, and conference abstracts. We will include all types of literature in English, published and unpublished, including any study design, reviews and meta-analyses, dissertations, reports, and books. The literature considered should describe or reflect Indigenous perspectives that identify concepts or constructs related to well-being or wellness; literature can be from any setting in Canada. Two reviewers will independently screen all citations, full-text reports, and abstract data. Data analysis will involve quantitative descriptions (e.g. frequencies) and qualitative content analysis methods.DiscussionThis review will provide a synthesis of the literature on Indigenous perspectives, concepts, and constructs of wellness and well-being in Canada. We anticipate the study will contribute to improve our understanding of how Indigenous communities conceptualize and embody wellness. Our findings will provide a basis for engaging Indigenous stakeholders in future health research and informing future interpretations of how wellness is conceptualized, whether written or unwritten.
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- 2020
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40. PCSK9 Inhibitors in a German Single-Center Clinical Practice: Real-World Treatment of Patients at High Cardiovascular Risk Over 68 Weeks
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Thomas Bobbert, Ursula Kassner, Elisabeth Steinhagen-Thiessen, Friederike Schumann, Thomas Grenkowitz, and Tim Hollstein
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medicine.medical_specialty ,Statin ,medicine.drug_class ,Hypercholesterolemia ,Comorbidity ,030204 cardiovascular system & hematology ,Antibodies, Monoclonal, Humanized ,Single Center ,Hyperlipoproteinemia Type II ,03 medical and health sciences ,0302 clinical medicine ,Pharmacotherapy ,Internal medicine ,medicine ,Humans ,Pharmacology (medical) ,Original Research Article ,Prospective Studies ,030212 general & internal medicine ,Adverse effect ,lipid-lowering therapies ,Alirocumab ,business.industry ,Cholesterol, LDL ,General Medicine ,Lipids ,cardiovascular diseases ,Clinical Practice ,Clinical trial ,Evolocumab ,Heart Disease Risk Factors ,PCSK9 inhibitors ,lipids (amino acids, peptides, and proteins) ,Cardiology and Cardiovascular Medicine ,business ,600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit - Abstract
Aims Several the use of proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9i) for patients at high/very high cardiovascular risk who are inadequately treated with maximally tolerated lipid-lowering therapies (LLTs). Objectives We assessed the effectiveness and safety of the PCSK9i alirocumab and evolocumab in a single-center clinical practice for up to 68 weeks. Methods In this prospective, open-label study conducted in Germany, 635 enrolled patients were treated with alirocumab [75 or 150 mg every 2 weeks (Q2W)] or evolocumab (140 mg Q2W) according to European Society of Cardiology/European Atherosclerosis Society guidelines (low-density lipoprotein cholesterol [LDL-C] > 1.81/2.59 mmol/L (70/100 mg/dL), depending on cardiovascular risk]. Investigators were able to adjust LLTs, including PCSK9i, according to their own clinical judgment. The primary effectiveness endpoint was LDL-C reduction from baseline to week 68. Results At baseline, approximately 50% of patients were statin intolerant, and approximately 90% reported a history of cardiovascular disease. LDL-C reductions remained generally unchanged from weeks 4 to 68 in each treatment group. At week 68, LDL-C mean percentage changes from baseline were − 41.7% (alirocumab 75 mg Q2W), − 53.7% (alirocumab 150 mg Q2W), and − 54.1% (evolocumab 140 mg Q2W). LDL-C reduction was 7.1% greater in patients receiving statins than in those not receiving statins because of statin intolerance (P
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- 2020
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41. Urine Injury Biomarkers Are Not Associated With Kidney Transplant Failure
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Isaac E. Hall, Meera N. Harhay, Pooja Singh, Bernd Schröppel, Peter P. Reese, Sherry G. Mansour, Enver Akalin, Heather Thiessen-Philbrook, Neel Koyawala, Mona D. Doshi, Jonathan S. Bromberg, Thangamani Muthukumar, Yaqi Jia, Sumit Mohan, Chirag R. Parikh, and Francis L. Weng
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Adult ,Graft Rejection ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Urology ,Renal function ,Urine ,Kidney ,Article ,chemistry.chemical_compound ,Humans ,Medicine ,Dialysis ,Aged ,Transplantation ,Creatinine ,urogenital system ,business.industry ,Hazard ratio ,Acute kidney injury ,Acute Kidney Injury ,Middle Aged ,Allografts ,medicine.disease ,Kidney Transplantation ,Tissue Donors ,Treatment Outcome ,medicine.anatomical_structure ,chemistry ,Kidney Failure, Chronic ,Biomarker (medicine) ,Female ,business ,Biomarkers ,Follow-Up Studies ,Glomerular Filtration Rate - Abstract
BACKGROUND Kidneys transplanted from deceased donors with serum creatinine-defined acute kidney injury (AKI) have similar allograft survival as non-AKI kidneys but are discarded at a higher rate. Urine injury biomarkers are sensitive markers of structural kidney damage and may more accurately predict graft outcomes. METHODS In the 2010-2013 multicenter Deceased Donor Study of 2430 kidney transplant recipients from 1298 donors, we assessed the association of donor urine injury biomarkers microalbumin, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, IL-18, and liver-type fatty acid binding protein with graft failure (GF) and death-censored GF (dcGF) using Cox proportional hazard models (median follow-up 4 y). We examined if serum creatinine-defined donor AKI modified this association to assess the relationship between subclinical donor AKI (elevated biomarkers without creatinine-defined AKI) and GF. Through chart review of a subcohort (1137 recipients), we determined associations between donor injury biomarkers and a 3-year composite outcome of GF, mortality, or estimated glomerular filtration rate ≤ 20mL/min/1.73m. RESULTS Risk of GF, dcGF, and 3-year composite outcome did not vary with donor injury biomarker concentrations after adjusting for donor, transplant, and recipient characteristics (adjusted hazard ratio ranged from 0.96 to 1.01 per log-2 increase in biomarker). Subclinical injury in transplanted kidneys without AKI was not associated with GF. CONCLUSIONS AKI measured using injury biomarkers was not associated with posttransplant graft outcomes (at median 4 y posttransplant). When assessing posttransplant graft viability, clinicians can prioritize other donor and recipient factors over donor kidney injury, measured by either serum creatinine or urine injury biomarkers.
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- 2020
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42. InChI version 1.06: now more than 99.99% reliable
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Goodman, Jonathan M, Pletnev, Igor, Thiessen, Paul, Bolton, Evan, Heller, Stephen R, Goodman, Jonathan M [0000-0002-8693-9136], Pletnev, Igor [0000-0001-7175-2136], Thiessen, Paul [0000-0002-1992-2086], Bolton, Evan [0000-0002-5959-6190], Heller, Stephen R [0000-0002-5538-8482], Apollo - University of Cambridge Repository, Goodman, Jonathan M. [0000-0002-8693-9136], and Heller, Stephen R. [0000-0002-5538-8482]
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0301 basic medicine ,Computer science ,Information technology ,RInChI ,Library and Information Sciences ,computer.software_genre ,01 natural sciences ,03 medical and health sciences ,PubChem ,Software ,Research article ,Physical and Theoretical Chemistry ,QD1-999 ,Database ,business.industry ,T58.5-58.64 ,Computer Graphics and Computer-Aided Design ,InChIKey ,0104 chemical sciences ,Computer Science Applications ,Identifier ,Chemistry ,010404 medicinal & biomolecular chemistry ,030104 developmental biology ,Upgrade ,InChI ,business ,computer ,Chemical database ,Research Article - Abstract
The software for the IUPAC Chemical Identifier, InChI, is extraordinarily reliable. It has been tested on large databases around the world, and has proved itself to be an essential tool in the handling and integration of large chemical databases. InChI version 1.05 was released in January 2017 and version 1.06 in December 2020. In this paper, we report on the current state of the InChI Software, the details of the improvements in the v1.06 release, and the results of a test of the InChI run on PubChem, a database of more than a hundred million molecules. The upgrade introduces significant new features, including support for pseudo-element atoms and an improved description of polymers. We expect that few, if any, applications using the standard InChI will need to change as a result of the changes in version 1.06. Numerical instability was discovered for 0.002% of this database, and a small number of other molecules were discovered for which the algorithm did not run smoothly. On the basis of PubChem data, we can demonstrate that InChI version 1.05 was 99.996% accurate, and InChI version 1.06 represents a step closer to perfection. Finally, we look forward to future releases and extensions for the InChI Chemical identifier.
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- 2021
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43. Small Bowel Obstruction in an Adolescent Boy With No Apparent Risk Factors
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Reethamma Daniel, Brianna Thiessen, and Christine Hickey
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Male ,medicine.medical_specialty ,Adolescent ,Superior Mesenteric Artery Syndrome ,Vomiting ,Diagnosis, Differential ,Risk Factors ,Rare case ,Humans ,Medicine ,Upper gastrointestinal ,Child ,business.industry ,General Medicine ,medicine.disease ,Surgery ,Bowel obstruction ,Pediatrics, Perinatology and Child Health ,Bilious emesis ,Emergency Medicine ,Surgical history ,Differential diagnosis ,Presentation (obstetrics) ,business ,Intestinal Obstruction ,Superior mesenteric artery syndrome - Abstract
Superior mesenteric artery syndrome (SMAS) is an uncommon condition that can lead to upper gastrointestinal obstruction. Although SMAS is a rare diagnosis, our patient, a 13-year-old adolescent boy with no relevant medical or surgical history, had a classical presentation of the disorder. In this article, we discuss the risk factors, common presentation, and treatment options of SMAS, and why it is important to consider in the differential diagnosis of a pediatric patient presenting with bilious emesis and no other risk factors for intestinal obstruction.
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- 2021
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44. BDNF serum concentrations in 2053 participants of the Berlin Aging Study II
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Elisabeth Steinhagen-Thiessen, Rainer Hellweg, Thomas Liman, Karen Gertz, Lars Bertram, Matthias Endres, Johanna Schöner, Golo Kronenberg, and Ilja Demuth
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Blood Platelets ,Male ,0301 basic medicine ,metabolism [Blood Platelets] ,Aging ,medicine.medical_specialty ,blood [Brain-Derived Neurotrophic Factor] ,Positive correlation ,genetics [Brain-Derived Neurotrophic Factor] ,Brain-derived neurotrophic factor ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,Internal medicine ,blood [Aging] ,medicine ,Humans ,ddc:610 ,Reference group ,Depression (differential diagnoses) ,Aged ,Aged, 80 and over ,blood [Biomarkers] ,Depression ,Platelet Count ,business.industry ,Brain-Derived Neurotrophic Factor ,General Neuroscience ,Platelet ,diagnosis [Alzheimer Disease] ,Genetic Variation ,Middle Aged ,Serum concentration ,Berlin ,030104 developmental biology ,Endocrinology ,Digit symbol substitution test ,Linear Models ,Female ,Multiple linear regression analysis ,Neurology (clinical) ,Geriatrics and Gerontology ,business ,Body mass index ,Biomarkers ,030217 neurology & neurosurgery ,Developmental Biology - Abstract
Serum BDNF concentrations in 2053 participants of the Berlin Aging Study II (BASE-II; 1572 individuals from the older age group [60-85 years], 481 individuals from the younger-age reference group [22-37 years]) were studied. There was no effect of age, sex, body mass index, self-reported depression, or BDNF Val66Met variant on serum BDNF concentrations. Multiple linear regression analysis failed to detect significant relationships of Digit Symbol Substitution Test score and Consortium to Establish a Registry for Alzheimer's Disease memory score to BDNF levels. However, we detected a positive correlation between platelet counts and BDNF levels (r = 0.303, p < 0.001). Our findings do not support an effect of aging, self-reported depression, or the Val66Met variant on serum BDNF concentrations. The role of thrombocytes in the biology of serum BDNF merits further study.
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- 2021
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45. Taking in the view: a bayside location for Aman's second Japanese property
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Thiessen, Tamara
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Architecture and design industries ,Business ,Food and beverage industries - Abstract
Amanemu--a minimalist yet modern take on a Japanese minka country home and a ryokan bathing inn, decked out in bamboo, wood, and stone--overlooks Ago Bay (or the Bay of Pearls), [...]
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- 2016
46. Dynamic Infrared Thermography (DIRT) in Biomedical Applications: DIEP Flap Breast Reconstruction and Skin Cancer
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Filip Thiessen, Jan Verstockt, Lieve Brochez, Wiebren Aa Tjalma, Thierry Tondu, Simon Verspeek, and Gunther Steenackers
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Computer science ,business.industry ,Dirt ,medicine.disease ,Skin tissue ,DIEP flap ,Cooling methods ,Thermography ,medicine ,Computer vision ,Human medicine ,Artificial intelligence ,Skin cancer ,Breast reconstruction ,business ,Engineering sciences. Technology - Abstract
Infrared thermography technology has improved drastically in recent years and is regaining interest in medicine for applications such as deep inferior epigastric perforate flap breast reconstruction, breast cancer diagnosis, skin tissue identification, psoriasis detection, etc. However, there is still a need for an optimised measurement setup and protocol in order to capture the most suitable images for decision making and further processing. Nowadays, different cooling methods are being used; nevertheless, a general optimised cooling protocol is not yet defined. In this manuscript, several cooling techniques, as well as the measurement setups, are reviewed and optimised. It is possible to enhance the thermal images by selecting an appropriate cooling method and duration, and additionally, an optimised measurement setup enables a comparison between different inspections.
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- 2021
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47. Plasma Soluble Tumor Necrosis Factor Receptor Concentrations and Clinical Events after Hospitalization: Findings from ASSESS-AKI and ARID studies
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Rosamonde E. Banks, Mary Jo Kurth, Chi-yuan Hsu, James S. Kaufman, Paul L. Kimmel, Kathleen D. Liu, Michelle Wilson, Eddie Siew, Rebecca Packington, Sherry G. Mansour, Dennis G. Moledina, Mark M. Wurfel, Vernon M. Chinchilli, Ciaran Richardson, Eibhlin McCole, Chirag R. Parikh, Jonathan Himmelfarb, Heather Thiessen-Philbrook, Alan S. Go, Steven G. Coca, George Vasquez-Rios, Amit X. Garg, and Nicholas M. Selby
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Kidney ,medicine.medical_specialty ,business.industry ,Incidence (epidemiology) ,Acute kidney injury ,medicine.disease ,medicine.anatomical_structure ,Diabetes mellitus ,Heart failure ,Internal medicine ,medicine ,Biomarker (medicine) ,Adverse effect ,business ,Kidney disease - Abstract
BackgroundThe role of plasma soluble tumor necrosis factor receptor (sTNFR)1 and sTNFR2 in the prognosis of clinical events after hospitalization with or without acute kidney injury (AKI) is unknown.MethodsWe measured sTNFR1 and sTNFR2 obtained 3 months post-discharge using samples from Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury (ASSESS-AKI) and AKI Risk in Derby (ARID) that enrolled patients with and without AKI. The associations between biomarkers with longitudinal kidney disease incidence and progression, heart failure and death were evaluated. Analyses were adjusted for demographics and key covariates at the 3-month visit.ResultsAmong 1474 participants with plasma biomarker measurements, 19% developed kidney disease progression, 14% had later heart failure, and 21% died over a median follow-up of 4.4 years. For the kidney outcome, the adjusted HRs per doubling in concentration were 2.9 (2.2-3.9) for sTNFR1 and 1.9 (1.5-2.5) for sTNFR2. AKI during the index hospitalization did not modify the association between biomarkers and kidney events. For heart failure, the adjusted HRs per doubling in concentration were 1.9 (1.4-2.5) for sTNFR1 and 1.5 (1.2-2.0) for sTNFR2. For mortality, the adjusted HRs were 3.3 (2.5-4.3) for sTNFR1 and 2.5 (2.0-3.1) for sTNFR2. The findings in ARID were qualitatively similar for the magnitude of association between biomarkers and outcomes.ConclusionPlasma sTNFR1 and sTNFR2 measured 3 months after discharge were independently associated with clinical events, regardless of AKI status during the index admission. sTNFR1 and sTNFR2 may assist with the risk stratification of patients during follow-up.Significance StatementSoluble tumor necrosis factor receptor 1 (sTNFR1) and sTNFR2 associate with kidney outcomes in patients with chronic kidney disease with and without diabetes mellitus. However, their role in the post-hospitalization stage is unknown. High sTNFR1 and sTNFR2 obtained 3 months after discharge associate with kidney events, heart failure hospitalizations, and death among patients who did and did not have acute kidney injury (AKI). Furthermore, sTNFRs provide discriminative value at the time of predicting kidney events. These findings were demonstrated in two large independent prospective cohorts. sTNFR1 and sTNFR2 may detect patients at risk of future adverse events even when patients do not meet the clinical criteria for AKI or exhibit biochemical abnormalities.
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- 2021
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48. Biliary obstruction following ureteral revision of a transplanted kidney
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Gulsedef Arslan, Chris E. Freise, John P. Roberts, and Carrie Thiessen
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Transplantation ,medicine.medical_specialty ,Cholestasis ,business.industry ,Transplanted kidney ,Urology ,Kidney ,Humans ,Immunology and Allergy ,Medicine ,Pharmacology (medical) ,Ureter ,business ,Ureteral Obstruction - Published
- 2021
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49. Critical care admission following elective surgery was not associated with survival benefit
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Kahan, Brennan C., Desponia, Koulenti, Kostoula, Arvaniti, Vanessa, Beavis, Douglas, Campbell, Matthew, Chan, Rui, Moreno, Pearse, Rupert M., Scott, Beattie, Pierre-Alain, Clavien, Nicolas, Demartines, Lee, A Fleisher, Mike, Grocott, James, Haddow, Andreas, Hoeft, Peter, Holt, Naomi, Pritchard, Andrew, Rhodes, Duminda, Wijeysundera, Matt, Wilson, Tahania, Ahmed, Kirsty, Everingham, Russell, Hewson, Marta, Januszewska, Rupert, M Pearse, Mandeep-Kaur, Phull, Richard, Halliwell, Mark, Shulman, Paul, Myles, Werner, Schmid, Michael, Hiesmayr, Patrick, Wouters, Stefan de Hert, Suzana, Lobo, Xiangming, Fang, Lars, Rasmussen, Emmanuel, Futier, Matthieu, Biais, Aurélien, Venara, Karem, Slim, Michael, Sander, Despoina, Koulenti, Mathew, Chan, Atul, Kulkarni, Susilo, Chandra, Aida, Tantri, Emad, Geddoa, Muntadhar, Abbas, Giorgio Della Rocca, Datin, Sivasakthi, Marzida, Mansor, Pastor, Luna, Arthur, Bouwman, Wolfgang, Buhre, Tim, Short, Tunde, Osinaike, Ricardo, Matos, Ioana, Grigoras, Mikhail, Kirov, Denis, Protsenko, Bruce, Biccard, Cesar, Aldecoa, Michelle, Chew, Christoph, Hofer, Martin, Hubner, James, Ditai, Tamas, Szakmany, Lee, Fleisher, Marissa, Ferguson, Michael, Macmahon, Ritchie, Cherian, Helen, Currow, Kathirgamanathan, Kanathiban, David, Gillespie, Edward, Pathmanathan, Katherine, Phillips, Jenifer, Reynolds, Joanne, Rowley, Jeanene, Douglas, Ross, Kerridge, Sameer, Garg, Michael, Bennett, Megha, Jain, David, Alcock, Nico, Terblanche, Rochelle, Cotter, Kate, Leslie, Marcelle, Stewart, Nicolette, Zingerle, Antony, Clyde, Oliver, Hambidge, Adam, Rehak, Sharon, Cotterell, Wilson Binh Quan Huynh, Timothy, Mcculloch, Erez, Ben-Menachem, Thomas, Egan, Jennifer, Cope, Paul, Fellinger, Simone, Haselberger, Caroline, Holaubek, Paul, Lichtenegger, Florian, Scherz, Franz, Hoffer, Veronika, Cakova, Andreas, Eichwalder, Norbert, Fischbach, Reinhold, Klug, Elisabeth, Schneider, Martin, Vesely, Reinhart, Wickenhauser, Karl Gernot Grubmueller, Marion, Leitgeb, Friedrich, Lang, Nancy, Toro, Marlene, Bauer, Friedrich, Laengle, Thomas, Mayrhofer, Christian, Buerkle, Karin, Forstner, Reinhard, Germann, Harald, Rinoesl, Elke, Schindler, Ernst, Trampitsch, Gerhard, Fritsch, Christian, Szabo, Jawad, Bidgoli, Hans, Verdoodt, Patrice, Forget, David, Kahn, Fernande, Lois, Mona, Momeni, Caroline, Prégardien, Audrey, Pospiech, Arnaud, Steyaert, Laurent, Veevaete, Dirk De Kegel, Karen De Jongh, Luc, Foubert, Carine, Smitz, Marcel, Vercauteren, Jan, Poelaert, Veerle Van Mossevelde, Jacques, Abeloos, Stefaan, Bouchez, Marc, Coppens, Luc De Baerdemaeker, Isabel, Deblaere, Ann De Bruyne, Stefan De Hert, Kristine, Fonck, Bjorn, Heyse, Tom, Jacobs, Koen, Lapage, Anneliese, Moerman, Martine, Neckebroek, Aliaksandra, Parashchanka, Nathalie, Roels, Nancy Van Den Eynde, Michael, Vandenheuvel, Jurgen Van Limmen, Ann, Vanluchene, Caroline, Vanpeteghem, Piet, Wyffels, Christel, Huygens, Punitha, Vandenbempt, Marc Van de Velde, Dimitri, Dylst, Bruno, Janssen, Evelien, Schreurs, Fábia Berganton Aleixo, Keulle, Candido, Hugo Dias Batista, Mario, Guimarães, Jaqueline, Guizeline, João, Hoffmann, Suzana, M Lobo, Francisco Ricardo Lobo, Vinícius, Nascimento, Katia, Nishiyama, Lucas, Pazetto, Daniela, Souza, Rodrigo Souza Rodrigues, Ana Maria Vilela Dos Santos, Jaquelline, Jardim, Joao, Silva, Paulo do Nascimento Junior, Thalissa Hermínia Baio, Gabriel Isaac Pereira de Castro, Henri Roger Watanabe Oliveira, Cristina Prata Amendola, Gutemberg, Cardoso, Daniela, Ortega, Ana Flavia Brotto, Mirella Cristine De Oliveira, Álvaro, Réa-Neto, Fernando, Dias, Pedro, Azambuja, Marcos Freitas Knibel, Antonio, Martins, William, Almeida, Calim Neder Neto, Maria Angela Tardelli, Eliana, Caser, Marcio, Machado, Crisitiano, Aguzzoli, Sérgio, Baldisserotto, Fernanda Beck Tabajara, Fernanda, Bettega, La Hore Correa Rodrigues Júnior, Julia de Gasperi, Lais, Faina, Marcos Farias Nolasco, Bruna Ferreira da Costa Fischer, Mariana Fosch de Campos Ferreira, Cristina, Hartmann, Marta, Kliemann, Gustavo Luis Hubert Ribeiro, Julia Merladete Fraga, Thiago Motta Netto, Laura Valduga Pozza, Paulo Rafael Wendling, Caroline, Azevedo, Juliana, Garcia, Marcel, Lopes, Bernardo, Maia, Paula, Maselli, Ralph, Melo, Weslley, Mendes, Matheus, Neves, Jacqueline, Ney, Claudio, Piras, Christopher, Applewhaite, Adrienne, Carr, Lorraine, Chow, Kaylene, Duttchen, Julena, Foglia, Michael, Greene, Ashley, Hinther, Kendra, Houston, Thomas Jared McCormick, Jennifer, Mikhayel, Sam, Montasser, Alex, Ragan, Andrew, Suen, Adrianna, Woolsey, Hai Chuan Yu, Duane, Funk, Stephen, Kowalski, Regina, Legaspi, Heather, Mcdonald, Faisal, Siddiqui, Jeremy, Pridham, Bernadette, Rowe, Sonia, Sampson, Barton, Thiessen, Geoff, Zbitnew, Andre, Bernard, Ronald, George, Philip, Jones, Rita, Moor, Naveed, Siddiqui, Alexandra, Wolfer, Diem, Tran, Denyse, Winch, Gary, Dobson, Thomas, Mccormick, Osama, Montasser, Richard, Hall, Leyla, Baghirzada, Si Yuan Dai, Gregory, Hare, Esther, Lee, Uma, Shastri, Albert, Tsui, Anmol, Yagnik, Danielle, Alvares, Stephen, Choi, Heather, Dwyer, Kathrina, Flores, Colin, Mccartney, Priya, Somascanthan, Carroll, Jo, Janneth, Pazmino-Canizares, Noam, Ami, Vincent, Chan, Anahi, Perlas, Ruth, Argue, Katie, Lavis, Kelly, Mayson, Ying, Cao, Hong, Gao, Tingju, Hu, Jie, Lv, Jian, Yang, Yang, Yang, Zhong, Yi, Jing, Zhou, Xiaohua, Zou, Miao, He, Xiaoying, Li, Dihuan, Luo, Haiying, Wang, Tian, Yu, Liyong, Chen, Lijun, Wang, Yunfei, Cai, Zhongming, Cao, Yanling, Li, Jiaxin, Lian, Haiyun, Sun, Sheng, Wang, Zhipeng, Wang, Kenru, Wang, Zhu, Yi, Xindan, Du, Hao, Fan, Yunbin, Fu, Lixia, Huang, Yanming, Huang, Haifang, Hwan, Hong, Luo, Pi-Sheng, Qu, Fan, Tao, Zhen, Wang, Guoxiang, Wang, Shun, Wang, Yan, Zhang, Xiaolin, Zhang, Chao, Chen, Weixing, Wang, Zhengyuan, Liu, Lihua, Fan, Jing, Tang, Yijun, Chen, Yongjie, Chen, Yangyang, Han, Changshun, Huang, Guojin, Liang, Jing, Shen, Jun, Wang, Qiuhong, Yang, Jungang, Zhen, Haidong, Zhou, Junping, Chen, Zhang, Chen, Xiaoyu, Li, Meng, Bo, Haiwang, Ye, Xiaoyan, Zhang, Yanbing, Bi, Jianqiao, Cao, Fengying, Guo, Hong, Lin, Yang, Liu, Meng, Lv, Pengcai, Shi, Xiumei, Song, Chuanyu, Sun, Yongtao, Sun, Yuelan, Wang, Shenhui, Wang, Min, Zhang, Rong, Chen, Jiabao, Hou, Yan, Leng, Qing-Tao, Meng, Qian, Li, Zi-Ying, Shen, Zhong-Yuan, Xia, Rui, Xue, Yuan, Zhang, Zhao, Bo, Xian-Jin, Zhou, Qiang, Chen, Huinan, Guo, Yongqing, Guo, Yuehong, Qi, Zhi, Wang, Jianfeng, Wei, Weiwei, Zhang, Lina, Zheng, Bao, Qi, Yaqiu, Chen, Yijiao, Chen, Yue, Fei, Nianqiang, Hu, Xuming, Hu, Min, Lei, Xiaoqin, Li, Xiaocui, Lv, Fangfang, Miao, Lingling, Ouyang, Qian, Lu, Conyu, Shen, Sun, Yu, Yuting, Wang, Dong, Wang, Chao, Wu, Liyuan, Xu, Jiaqi, Yuan, Lina, Zhang, Huan, Zhang, Yapping, Zhang, Jinning, Zhao, Chong, Zhao, Lei, Zhao, Tianzhao, Zheng, Dachun, Zhou, Haiyan, Zhou, Zhou, Ce, Kaizhi, Lu, Ting, Zhao, Changlin, He, Hong, Chen, Shasha, Chen, Baoli, Cheng, Jie, He, Lin, Jin, Caixia, Li, Hui, Li, Yuanming, Pan, Yugang, Shi, Xiao Hong Wen, Shuijing, Wu, Guohao, Xie, Kai, Zhang, Bing, Zhao, Xianfu, Lu, Feifei, Chen, Qisheng, Liang, Xuewu, Lin, Yunzhi, Ling, Gang, Liu, Jing, Tao, Yang, Lu, Jialong, Zhou, Fumei, Chen, Yunlin, Feng, Benchao, Hou, Jiamei, Lin, Mei, Liu, Foquan, Luo, Xiaoyun, Shi, Yingfen, Xiong, Lin, Xu, Shuangjia, Yang, Qin, Zhang, Huaigen, Zhang, Weihong, Zhao, Weilu, Zhao, Yun, Bai, Linbi, Chen, Sijia, Chen, Qinxue, Dai, Wujun, Geng, Kunyuan, Han, Xin, He, Luping, Huang, Binbin, Ji, Danyun, Jia, Shenhui, Jin, Qianjun, Li, Dongdong, Liang, Shan, Luo, Lulu, Lwang, Yunchang, Mo, Yuanyuan, Pan, Xinyu, Qi, Meizi, Qian, Jinling, Qin, Yelong, Ren, Yiyi, Shi, Junlu, Wang, Junkai, Wang, Leilei, Wang, Junjie, Xie, Yixiu, Yan, Yurui, Yao, Mingxiao, Zhang, Jiashi, Zhao, Xiuxiu, Zhuang, Yanqiu, Ai, Fang, Du, Long, He, Ledan, Huang, Zhisong, Li, Huijuan, Li, Yetong, Li, Liwei, Li, Meng, Su, Yazhuo, Yuan, Enman, Zhang, Jie, Zhang, Shuna, Zhao, Zhenrong, Ji, Ling, Pei, Wang, Li, Chen, Chen, Beibei, Dong, Jing, Li, Ziqiang, Miao, Hongying, Mu, Chao, Qin, Lin, Su, Zhiting, Wen, Keliang, Xie, Yonghao, Yu, Fang, Yuan, Xianwen, Hu, Zhang, Ye, Wangpin, Xiao, Zhipeng, Zhu, Qingqing, Dai, Kaiwen, Fu, Rong, Hu, Xiaolan, Hu, Song, Huang, Yaqi, Li, Yingping, Liang, Shuchun, Yu, Zheng, Guo, Yan, Jing, Tang, Na, Jie, Wu, Dajiang, Yuan, Ruilin, Zhang, Xiaoying, Zhao, Yuhong, Li, Hui-Ping, Bai, Chun-Xiao, Liu, Fei-Fei, Liu, Wei, Ren, Xiu-Li, Wang, Guan-Jie, Xu, Na, Hu, Bo, Li, Yangwen, Ou, Yongzhong, Tang, Shanglong, Yao, Shihai, Zhang, Cui-Cui, Kong, Bei, Liu, Tianlong, Wang, Wei, Xiao, Bo, Lu, Yanfei, Xia, Jiali, Zhou, Fang, Cai, Pushan, Chen, Shuangfei, Hu, Hongfa, Wang, Qiong, Xu, Liu, Hu, Liang, Jing, Bin, Li, Qiang, Liu, Yuejiang, Liu, Xinjian, Lu, Zhen Dan Peng, Xiaodong, Qiu, Quan, Ren, Youliang, Tong, Jin, Wang, Yazhou, Wen, Qiong, Wu, Jiangyan, Xia, Jue, Xie, Xiapei, Xiong, Shixia, Xu, Tianqin, Yang, Hui, Ye, Ning, Yin, Jing, Yuan, Qiuting, Zeng, Baoling, Zhang, Kang, Zheng, Jing, Cang, Shiyu, Chen, Fan, Yu, 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Valerie Serra Maudet, Didier, Mutter, Ghassan, Sojod, Mehdi, Ouaissi, Jean-Marc, Regimbeau, Jacques, Desbordes, Nicolas, Comptaer, Diae El Manser, Sabine, Ethgen, Gilles, Lebuffe, Patrick, Auer, Christine, Härtl, Maria, Deja, Kirill, Legashov, Susanne, Sonnemann, Carola, Wiegand-Loehnert, Elke, Falk, Marit, Habicher, Stefan, Angermair, Beatrix, Laetsch, Katrin, Schmidt, Christian Von Heymann, Axel, Ramminger, Florian, Jelschen, Svenja, Pabel, Andreas, Weyland, Elke, Czeslick, Jochen, Gille, Michael, Malcharek, Armin, Sablotzki, Katharina, Lueke, Peter, Wetzel, Joerg, Weimann, Franz-Peter, Lenhart, Florian, Reichle, Frederike, Schirmer, Michael, Hüppe, Karl, Klotz, Carla, Nau, Julika, Schön, Thomas, Mencke, Christina, Wasmund, Carla, Bankewitz, Georg, Baumgarten, Andreas, Fleischer, Vera, Guttenthaler, Yvonne, Hack, Katharina, Kirchgaessner, Olja, Männer, Marlen, Schurig-Urbaniak, Rafael, Struck, Rebekka van Zyl, Maria, Wittmann, Ulrich, Goebel, Sarah, Harris, Siegfried, Veit, Evangelia, Andreadaki, Flora, Souri, Ioannis, Katsiadramis, Anthi, Skoufi, Maria, Vasileiou, Eleni, Aimoniotou-Georgiou, Anastasios, Katsourakis, Fotini, Veroniki, Glyceria, Vlachogianni, Konstantina, Petra, Dimitra, Chlorou, Eirini, Oloktsidou, Vasileios, Ourailoglou, Konstantinos, Papapostolou, Georgia, Tsaousi, Panagoula, Daikou, Georgia, Dedemadi, Ioannis, Kalaitzopoulos, Christos, Loumpias, Sotirios, Bristogiannis, Nikolaos, Dafnios, Georgios, Gkiokas, Elissaios, Kontis, Dimitra, Kozompoli, Aspasia, Papailia, Theodosios, Theodosopoulos, Christol, Bizios, Anastasia, Koutsikou, Aleaxandra, Moustaka, Ioannis, Plaitakis, Apostolos, Armaganidis, Theodora, Christodoulopoulou, Mihail, Lignos, Maria, Theodorakopoulou, Andreas, Asimakos, Eleni, Ischaki, Angeliki, Tsagkaraki, Spyros, Zakynthinos, Eleni, Antoniadou, Ioannis, Koutelidakis, Dimitrios, Lathyris, Irene, Pozidou, Nikolaos, Voloudakis, Maria, Dalamagka, Elena, Gkonezou, Christos, Chronis, Dimitra, Manolakaki, Dimitris, 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Athina, Anagnou, Konstantinos, Apostolou, Theodora, Melissopoulou, Theophilos, Rozenberg, Christos, Tsigris, Georgios, Boutsikos, Vasileios, Kalles, Nikolaos, Kotsalas, Christina, Lavdaiou, Fotini, Paikou, Georgia-Laura, Panagou, Anna, Spring, Ioannis, Botis, Maria, Drimala, Georgios, Georgakakis, Ellada, Kiourtzieva, Panagiota, Ntouma, Apostolos, Prionas, Kyriakos, Xouplidis, Eleftheria, Dalampini, Chrysavgi, Giannaki, Christina, Iasonidou, Orestis, Ioannidis, Athina, Lavrentieva, Athena, Lavrentieva, George, Papageorgiou, Maria, Kokkinoy, Maria, Stafylaraki, Stylianos, Gaitanakis, Periclis, Karydakis, Josef, Paltoglou, Panagiotis, Ponireas, Panagiotis, Chaloulis, Athanasios, Provatidis, Anisoglou, Sousana, Varvara Vanessa Gardikou, Maria, Konstantivelli, Olga, Lataniotou, Elisavet, Lisari, Maria, Margaroni, Konstantinos, Stamatiou, Edouardos, Nikolaidis, Ioannis, Pnevmatikos, Eleni, Sertaridou, Alexandros, Andreou, Eleni, Arkalaki, Elias, Athanasakis, Fotini, Chaniotaki, Aikaterini, 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Flossos, Konstantinos, Stamoulis, Man Shing Caleb Tsang, Man Shing Tsang, Man Ling Lai, Chi Pang Yip, Hey Man Heymans Chan, Bassanio, Law, Wing Sze Li, Hiu Man Chu, Emily Gar Yee Koo, Chi Cheong Joe Lam, Ka Ho Cheng, Tracy, Lam, Susanna, Chu, Wing Yan Lam, Kin Wai Kevin Wong, Dilys, Kwok, Ching Yue Janice Hung, Wai Kit Jacky Chan, Wing, Lamwong, Chun Kwong Eric Chung, Shu Kai Ma, Shuchi, Kaushik, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Shah, Praburaj, Ar, Radhakrishnan, Muthuchellappan, Vandana, Agarwal, Jigeeshu, Divatia, Sanghamitra, Mishra, Ganesh, Nimje, Swati, Pande, Sukhada, Savarkar, Aditi, Shrivastava, Martin, Thomas, Shashikant, Yegnaram, Rahmat, Hidayatullah, Nasman, Puar, Sumara, Niman, Imai, Indra, Zulkarnain, Hamzah, Annika, Yuliana, Ucu Nurhadiat Abidin, Ade Nurkacan Dursin, Andri, Kurnia, Ade, Susanti, Dini, Handayani, Mahaalit Alit Aribawa, Aryabiantara, Arya, Tjokorda Gde Agung Senapathi, Utara Hartawan Utara, Widnyana Made Wid, Semarawima, Wima, Wiryana Made Wir, 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Bhavika, Daya, Leanne, Drummond, Ali, Elabib, Ehab Helmy Abdel Goad, Ismail, E Goga, Riaz, Goga, Harrichandparsad, R, Richard, E Hodgson, Jordaan, J, Nicky, Kalafatis, Christian, Kampik, T Landers, A, Emil, Loots, Rajhmum, Madansein, Anil, Madaree, Thandinkosi, E Madiba, Vukani, T Manzini, Mbali, Mbuyisa, Rajan, Moodley, Mduduzi, Msomi, Innocent, Mukama, Desigan, Naidoo, Rubeshan, Naidoo, Tesuven, K Naidu, Sindiswa, Ntloko, Eneshia, Padayachee, Lucelle, Padayachee, Martijn, Phaff, Bala, Pillay, Desigan, Pillay, Lutchmee, Pillay, Anupa, Ramnarain, Suren, R Ramphal, Paul, Ryan, Ahmed, Saloojee, Motshedisi, Sebitloane, Noluyolo, Sigcu, Jenna, L Taylor, Alexandra, Torborg, Linda, Visser, Philip, Anderson, Alae, Conradie, Mathew de Swardt, Martin de Villiers, Johan, Eikman, Riaan, Liebenberg, Johan, Mouton, Abbey, Paton, Louwrence van der Merwe, Candice, Wilscott-Davids, Wendy Joan Barrett, Marlet, Bester, Johan de Beer, Jacques, Geldenhuys, Hanni, Gouws, Jan-Hendrik, Potgieter, Magdel, Strydom, Edwin, Wilberforce-Turton, Rubendraj, R Chetty, Subash, Chirkut, Larissa, Cronje, Kim de Vasconcellos, Nokukhanya, Z Dube, N Sibusiso Gama, Garyth, M Green, Randolph, Green-Thompson, Suman Mewa Kinoo, Prenolin, Kistnasami, Kapil, Maharaj, Manogaran, S Moodley, Sibongile, J Mothae, Ruvashni, Naidoo, Aslam, M, Noorbhai, F, Vivesh, Rughubar, Jenendhiran, Reddy, Avesh, Singh, David, L Skinner, Murray, J Smith, Bhagwan, Singh, Ravi, Misra, Maheshwar, Naidoo, Pireshin, Ramdharee, Yvonne, Selibea, Selina, Sewpersad, Shailendra, Sham, Joseph, D Wessels, Cucu, Africander, Tarek, Bejia, Stephen, P Blakemore, Marisa, Botes, Bimalshakth, Bunwarie, Carlos, B Hernandez, Mohammud, A Jeeraz, Dagmara, A Legutko, Acela, G Lopez, Jenine, N De Meyer, Tanaka, Muzenda, Noel, Naidoo, Maryam, Patel, Rao, Pentela, Marina, Junge, Naj, Mansoor, Lana, Rademan, Pawel, Scislowski, Ismail, Seedat, Bianca van den Berg, Doreen van der Merwe, Steyn van Wyk, Komalan, Govender, Darshan, Naicker, Rajesh, Ramjee, 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Tsang, Man Shing, Lai, Man Ling, Yip, Chi Pang, Chan, Hey Man Heyman, Law, Bassanio, Li, Wing Sze, Chu, Hiu Man, Koo, Emily Gar Yee, Lam, Chi Cheong Joe, Cheng, Ka Ho, Lam, Tracy, Chu, Susanna, Lam, Wing Yan, Wong, Kin Wai Kevin, Kwok, Dily, Hung, Ching Yue Janice, Chan, Wai Kit Jacky, LamWong, Wing, Chung, Chun Kwong Eric, Ma, Shu Kai, Kaushik, Shuchi, Shah, Bhagyesh, Shah, Dhiren, Shah, Sanjay, Ar, Praburaj, Muthuchellappan, Radhakrishnan, Agarwal, Vandana, Divatia, Jigeeshu, Mishra, Sanghamitra, Nimje, Ganesh, Pande, Swati, Savarkar, Sukhada, Shrivastava, Aditi, Thomas, Martin, Yegnaram, Shashikant, Hidayatullah, Rahmat, Puar, Nasman, Niman, Sumara, Indra, Imai, Hamzah, Zulkarnain, Yuliana, Annika, Abidin, Ucu Nurhadiat, Dursin, Ade Nurkacan, Kurnia, Andri, Susanti, Ade, Handayani, Dini, Aribawa, Mahaalit Alit, Arya, Aryabiantara, Senapathi, Tjokorda Gde Agung, Utara, Utara Hartawan, Wid, Widnyana Made, Wima, Semarawima, Wir, Wiryana Made, Jehosua, Brillyan, Kaunang, Jonathan, Lantang, Eka Yudha, Najoan, Rini, Waworuntu, Neil, Awad, Hadi, Fuad, Akram, Geddoa, Burair, Khalaf, Abdel Razzaq, Al hussaini, Sabah, Albaj, Safauldeensalem, Kenber, Maithem, Bettinelli, Alessandra, Spadaro, Savino, Volta, Carlo Alberto, Giancarlo, Luigi, Sottosanti, Vicari, Spagnesi, Lorenzo, Toretti, Ilaria, Alloj, Chiara, Cardellino, Silvano, Carmino, Livio, Costanzo, Eleonora, Fanfani, Lucia Caterina, Novelli, Maria Teresa, Roasio, Agostino, Bellandi, Mattia, Beretta, Luigi, Bignami, Elena, Bocchino, Speranza, Cabrini, Luca, Corti, Daniele, Landoni, Giovanni, Meroni, Roberta, Moizo, Elena, Monti, Giacomo, Pintaudi, Margherita, Plumari, Valentina Paola, Taddeo, Daiana, Testa, Valentina, Winterton, Dario, Zangrillo, Alberto, Cloro, Luigi Maria, Colangelo, Chiara, Colangelo, Antonio, Rotunno, Giuseppe, Angel, Miguel Paludi, Maria, Cloro Paolo, Pata, Antonio, Parrini, Vieri, Gatta, Alessandro, Nastasi, Mauro, Tinti, Carla, Arrigo, Mario, Benevento, Angelo, Bottini, Corrado, Cannavo’, Maurizio, Gastaldi, Christian, Marchesi, Alessandro, Pascazio, Angelantonio, Pata, Francesco, Pozzi, Emilio, Premoli, Alberto, Tessera, Gaetano, Boschi, Luca, D’Andrea, Rocco, Ghignone, Federico, Poggioli, Gilberto, Sibilio, Andrea, Taffurelli, Mario, Ugolini, Giampaolo, Ab Majid, Mohd Azuan, Ab Rahman, Rusnah, Joseph, Jame, Pathan, Furquan, Shah, Mohammad Hafizshah Sybil, Yap, Huey Ling, Cheah, Seleen, Chin, Im Im, Looi, Ji Keon, Tan, Siew Ching, Visvalingam, Sheshendrasurian, Kwok, Fan Yin, Lee, Chew Kiok, Tan, Tse Siang, Wong, Sze Meng, Abdullah, Noor Hairiza, Liew, Chiat Fong, Luxuman, Lovenia, Mohd Zin, Nor Hafizah, Norddin, Muhamad Faiz, Alias, Raja Liza Raja, Wong, Juan Yong, Yong, Johnny, Bin Mustapha, Mohd Tarmimi, Chan, Weng Ken, Dzulkipli, Norizawati, Kuan, Pei Xuan, Lee, Yew Ching, Alias, Anita, Guok, Eng Ching, Jee, Chiun Chen, Ramon, Brian Rhadamantyne, Weng, Cheng Wong, Abd Ghafar, Fara Nur Idayu, Aziz, Faizal Zuhri, Hussain, Nabilah, Lee, Hooi Sean, Sukawi, Ismawaty, Woon, Yuan Liang, Abd Hadi, Husni Zaeem, Ahmad Azam, Ummi Azmira, Alias, Abdul Hafiz, Kesut, Saiful Aizar, Lee, Jun May, Ooi, Dar Vin, Sulaiman, Hetty Ayuni, Tengku Lih, Tengku Alini, Veerakumaran, Jeyaganesh, Rojas, Eder, Resendiz, Gerardo Esteban Alvarez, Zapata, Darcy Danitza Mari, Aguilar López, Julio Cesar Jesú, Flores, Armando Adolfo Alvarez, Amador, Juan Carlosc Bravo, Avila, Erendira Jocelin Dominguez, Aquino, Laura Patricia González, Rodriguez, Ricardo Lopez, Landa, Mariana Torre, Urias, Emma, Hollmann, Marku, Hulst, Abraham, Kirzner, Osne, Preckel, Benedikt, Koopman-van Gemert, Ankie, Buise, Marc, Tolenaar, Noortje, Weber, Eric, de Fretes, Jennifer, Houweling, Peter, Ormskerk, Patricia, Van Bommel, Jasper, Lance, Marcu, Smit-Fun, Valerie, van Zundert, Tom, Baas, Peter, de Boer, Hans Donald, Sprakel, Joost, Elferink-Vonk, Renske, Noordzij, Peter, van Zeggeren, Laura, Brand, Bastiaan, spanjersberg, Rob, ten Bokkel-Andela, Janneke, Numan, Janneke, van Klei, Wilton, van Zaane, 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Ganter, Donna Louise, McCann, Lloyd, Foley, Julia, Gilmour, Fiona, Lumsden, Rachelle, Moores, Mark, Olliff, Sue, Sardareva, Elitza, Tai, Joyce, Wikner, Matthew, Wong, Christopher, Chaddock, Mark, Czepanski, Carolyn, McKendry, Patrick, Polakovic, Daniel, Polakovich, Daniel, Robert, Axe, Tormo Belda, Margarita, Norton, Tracy, Alherz, Fadhel, Barneto, Lisa, Ramirez, Alberto, Sayeed, Ahmed, Smith, Nicola, Bennett, Cambell, McQuoid, Shane, Jansen, Tracy-Lee, Nico, Zin, Scott, John, Freschini, David, Freschini, Angela, Hopkins, Brian, Manson, Lara, Stoltz, Deon, Bates, Alexander, Davis, Simon, Freeman, Victoria, McGaughran, Lynette, Baskar Sharma, Swarna, Burrows, Tom, Byrne, Kelly, English, Duane, Johnson, Robert, Chai Law, Kiew, Manikkam, Brendon, Naidoo, Shaun, Rumball, Margot, Whittle, Nicola, Franks, Romilla, Gibson-Lapsley, Hannah, Salter, Ryan, Walsh, Dean, Cooper, Richard, Perry, Katherine, Obobolo, Amo, Sule, Umar Musa, Ahmad, Abdurrahman, Atiku, Mamuda, Mohammed, Alhassan Datti, Sarki, Adamu Muhammad, Adekola, Oyebola, Akanmu, Olanrewaju, Durodola, Akanmu, Olukoju, Olusegun, Raji, Victor, Olajumoke, Tokunbo, Oyebamiji, Emmanuel, Adenekan, Anthony, Adetoye, Adenekan, Faponle, Folayemi, Olateju, Simeon, Owojuyigbe, Afolabi, Talabi, Ademola, Adenike, Odewabi, Adewale, Badru, Collins, Nwokoro, Ezekiel, Emmanuel, Fatungase, Oluwabunmi Motunrayo, Grace, Anuforo, Sola, Sotannde, Stella, Ogunmuyiwa, Ademola, Adeyinka, Adeolu, Augustine A., Adigun, Tinuolac, Akinwale, Mukaila, Fasina, Oluyemi, Gbolahan, Olalere, Idowu, Olusola, Olonisakin, Rotimi Peter, Osinaike, Babatunde Babasola, Asudo, Felicia, Mshelia, Danladi, Abdur-Rahman, Lukman, Agodirin, Olayide, Bello, Jibril, Bolaji, Benjamin, Oyedepo, Olanrewaju Olubukola, Ezike, Humphrey, Iloabachie, Ikechukwu, Okonkwo, Ikemefuna, Onuora, Elia, Onyeka, Tonia, Ugwu, Innocent, Umeh, Friday, Alagbe-Briggs, Olubusola, Dodiyi-Manuel, Amabra, Echem, Richard, Obasuyi, Bright, Onajin-Obembe, Bisola, Bandeira, Maria Expedito, 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Kulikov, Alexander, Lubnin, Andrey, Grigoryev, Evgeny, Pugachev, Stanislav, Tolmasov, Alexander, Hussain, Ayyaz, Ilyina, Yana, Roshchina, Anna, Iurin, Aleksandr, Chazova, Elena, Dunay, Artem, Karelov, Alexey, Khvedelidze, Irina, Voldaeva, Olga, Belskiy, Vladislav, Dzhamullaev, Parvin, Grishkowez, Elena, Kretov, Vladimir, Levin, Valeriy, Molkov, Aleksandr, Puzanov, Sergey, Samoilenko, Aleksandr, Tchekulaev, Aleksandr, Tulupova, Valentina, Utkin, Ivan, Allorto, Nikki Leigh, Bishop, David Gray, Builu, Pierre Monji, Cairns, Carel, Dasrath, Ashish, de Wet, Jacque, den Hoedt, Marielle, Grey, Ben, Hayes, Morgan Philip, Küsel, Belinda Senta, Shangase, Nomcebo, Wise, Robert, Cacala, Sharon, Farina, Zane, Govindasamy, Vishendran, Kruse, Carl-Heinz, Lee, Carolyn, Marais, Leonard, Naidoo, Thinagrin Dhasarthun, Rajah, Chantal, Rodseth, Reitze Nil, Ryan, Lisa, von Rhaden, Richard, Adam, Suwayba, Alphonsus, Christella, Ameer, Yusuf, Anderson, Frank, Basanth, Sujith, Bechan, Sudha, Bhula, Chettan, 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Delgado García, David R., Zamudio, Diana, Garcia Del Valle, Santiago, Luz Serrano, M., Alonso, Eduardo, Anillo, Victor, Maseda, Emilio, Salgado, Patricia, Suarez, Lui, Suarez-de-la-Rica, Alejandro, Villagrán, María José, Alonso, José Ignacio, Cabezuelo, Estefania, Garcia-Saiz, Irene, Lopez del Moral, Olga, Martín, Silvia, Perez Gonzalez, Alba, Tovar Doncel, Sherezade, Vera, Martin Agüero, Ávila Sánchez, Francisco José, Castaño, Beatriz, Castaño Moreira, Beatriz, Flores Risco, Sahely, Paz Martín, Daniel, Pérez Martín, Fernando, Poza, Paloma, Ruiz, Adela, Serna Martínez, Wilson Fabio, Vicente, Bárbara Vázquez, Dominguez, Saul Velaz, Fernández, Salvador, Munoz-López, Alfonso, Bernat, Maria Jose, Mas, Arantxa, Planas, Kenneth, Jawad, Monir, Saeed, Yousif, Hedin, Annika, Levander, Helena, Holmström, Sandra, Lönn, David, Zoerner, Frank, Åkring, Irene, Widmark, Carl, Zettergren, Jan, Liljequist, Victor Aspelund, Nystrom, Lena, Odeberg-Wernerman, Suzanne, Oldner, Ander, Reje, Patrik, Lyckner, 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Amir, Shekar, Priya, Harden, Catherine, Hollands, Heidi, King, Angela, March, Linda, Minto, Gary, Patrick, Abigail, Waugh, Darren, Kumara, Paramesh, Simeson, Karen, Yarwood, Jamie, Browning, Julie, Hatton, Jonathan, Julian, Howe, Mitra, Atideb, Newton, Maria, Pernu, Pawan, Wilson, Alison, Commey, Thelma, Foot, Helen, Glover, Lyn, Gupta, Ajay, Lancaster, Nicola, Levin, Jill, Mackenzie, Felicity, Mestanza, Claire, Nofal, Emma, Pout, Lauren, Varden, Rosanna, Wild, Jonathan, Jones, Stephanie, Moreton, Sarah, Pulletz, Mark, Davies, Charlotte, Martin, Matthew, Thomas, Sian, Burns, Karen, McArthur, Carol, Patel, Panna, Lau, Gary, Rich, Natalie, Davis, Fiona, Lyons, Rachel, Port, Beth, Prout, Rachel, Smith, Christopher, Adelaja, Yemi, Bennett, Victoria, Bidd, Heena, Dumitrescu, Alexandra, Murphy, Jacqui Fox, Keen, Abigail, Mguni, Nhlanhla, Ong, Cheng, Adams, George, Boshier, Pier, Brown, Richard, Butryn, Izabella, Chatterjee, Jayanta, Freethy, Alexander, Lockwood, Geoffrey, Tsakok, Maria, Tsiligiannis, Sophia, Peat, William, Stephenson, Lorraine, Bradburn, Mike, Pick, Sara, Cunha, Pedro, Olagbaiye, Olufemi, Tayeh, Salim, Abernethy, Caroline, Balasubramaniam, Madhu, Bennett, Rachael, Bolton, David, Martinson, Victoria, Naylor, Charde, Bell, Stephanie, Heather, Blaylock, Kushakovsky, Vlad, Alcock, Liam, Alexander, Hazel, Anderson, Colette, Baker, Paul, Brookes, Morag, Cawthorn, Louise, Cirstea, Emanuel, Colling, Kerry, Coulter, Ian, Das, Suparna, Haigh, Kathryn, Hamdan, Alhafidz, Hugill, Keith, Kottam, Lucksy, Lisseter, Emily, Mawdsley, Matthew, McGivern, Julie, Padala, Krishnaveni, Phelps, Victoria, kumar, Vineshykaa Ramesh, Stewart, Kirsten, Towse, Kayley, Tregonning, Julie, Vahedi, Ali, Walker, Alycon, Baines, Duncan, Bilolikar, Anjali, Chande, Shiv, Copley, Edward, Dunk, Nigel, Kulkarni, Raghavendra, Kumar, Pawan, Metodiev, Yavor, Ncomanzi, Dumisani, Raithatha, Bhavesh, Raymode, Parizade, Szafranski, Jan, Twohey, Linda, Watt, Philip, Weatherall, Lucie, Weatherill, J., Whitman, Zoe, Wighton, Elinor, Abayasinghe, Chamika, Chan, Alexander, Darwish, Sharif, Gill, Jame, Glasgow, Emma, Hadfield, Daniel, Harris, Clair, Kochhar, Arun, Mellis, Clare, Pool, Andrew, Riozzi, Paul, Selman, Andrew, Smith, Emma-Jane, Vele, Liana, Gercek, Yuksel, Guy, Kramer, Holden, Dougla, Watson, Nichola, Whysall, Karen, Andreou, Prematie, Hales, Dawn, Thompson, Jonathan, Bowrey, Sarah, McDonald, Shara, Gilmore, Jemma, Hills, Vicky, Kelly, Chan, Kelly, Sinead, Lloyd, Geraint, Abbott, Tom, Gall, Lewi, Torrance, Hew, Vivian, Mark, Berntsen, Emer, Nolan, Tracey, Turner, Angu, Vohra, Akbar, Brown, Andrew, Clark, Richard, Coughlan, Elaine, Daniel, Conway, Patvardhan, Chinmay, Pearson, Rachel, Predeep, Sheba, Saad, Hesham, Shanmugam, Mohanakrishnan, Varley, Simon, Wylie, Katharine, Cooper, Lucy, Makowski, Arystarch, Misztal, Beata, Moldovan, Eliza, Pegg, Claire, Donovan, Andrew, Foot, Jayne, Large, Simon, Claxton, Andrew, Netke, Bhagyashree, Armstrong, Richard, Calderwood, Claire, Kwok, Andy, Mohr, Otto, Oyeniyi, Peter, Patnaik, Lisa, Post, Benjamin, Ali, Sarah, Arshad, Homa, Baker, Gerard, Brenner, Laura, Brincat, Maximilian, Brunswicker, Annemarie, Cox, Hannah, Cozar, Octavian Ionut, Durst, Alexander, Fengas, Lior, Flatt, Jim, Glister, Georgina, Narwani, Vishal, Photi, Evangelo, Rankin, Adeline, Rosbergen, Melissa, Tan, Mark, Beaton, Ceri, Horn, Rachel, Hunt, Jane, Rousseau, Guy, Stancombe, Lucia, Absar, Mohammed, Allsop, Joanne, Drinkwater, Zoe, Hodgkiss, Tracey, Smith, Kirsty, Brown, Jamie, Alexander-Sefre, Farhad, Campey, Lorraine, Dudgeon, Lucy, Hall, Kathryn, Hitchcock, Rachael, James, Lynne, Smith, Kate, Winstone, Ulrika, Ahmad, Norfaizan, Bauchmuller, Kri, Harrison, Jonathan, Jeffery, Holly, Miller, Duncan, Pinder, Angela, Pothuneedi, Sailaja, Rosser, Jonathan, Sanghera, Sumayer, Swift, Diane, Walker, Rachel, Bester, Delia, Cavanagh, Sarah, Cripps, Heather, Daniel, Harvey, Lynch, Julie, Paton, Alison, Pyke, Shirley, Scholefield, John, Whitworth, Helen, Bottrill, Fiona, Ramalingam, Ganesh, Webb, Stephen, Akerman, Nik, Antill, Philip, Bourner, Lynsey, Buckley, Sarah, Castle, Gail, Charles, Rob, Eggleston, Christopher, Foster, Rebecca, Gill, Satwant, Lindley, Kate, Lklouk, Mohamed, Lowery, Tracey, Martin, Oliver, Milne, David, O’Connor, Patrick, Ratcliffe, Andrew, Rose, Alastair, Smith, Annie, Varma, Sandeep, Ward, Jackie, Barcraft-Barnes, Helena, Camsooksai, Julie, Colvin, Carolyn, Reschreiter, Henrik, Tbaily, Lee, Venner, Nicola, Hamilton, Caroline, Kelly, Lewi, Toth-Tarsoly, Piroska, Dodsworth, Kerry, Foord, Denise, Gordon, Paul, Hawes, Elizabeth, Lamb, Nikki, Mouland, Johanna, Nightingale, Jeremy, Rose, Steve, Schrieber, Joe, Al ‘Amri, Khalid, Aladin, Hafiz, Arshad, Mohammed Asif, Barraclough, Jame, Bentley, Conor, Bergin, Colin, Carrera, Ronald, Clarkson, Aisling, Collins, Michelle, Cooper, Lauren, Denham, Samuel, Griffiths, Ewen, Ip, Peter, Jeyanthan, Somasundaram, Joory, Kavita, Kaur, Satwant, Marriott, Paul, Mitchell, Natalie, Nagaiah, Sukumar, Nilsson, Annette, Parekh, Nilesh, Pope, Martin, Seager, Joseph, Serag, Hosam, Tameem, Alifia, Thomas, Anna, Thunder, Joanne, Torrance, Andrew, Vohra, Ravinder, whitehouse, Arlo, Wong, Tony, Blunt, Mark, Wong, Kate, Giles, Julian, Reed, Isabelle, Weller, Debbie, Bell, Gillian, Birch, Julie, Damant, Rose, Maiden, Jane, Mewies, Clare, Prince, Claire, Radford, Jane, Balain, Birender, Banerjee, Robin, Barnett, Andrew, Burston, Ben, Davies, Kirsty, Edwards, Jayne, Evans, Chri, Ford, David, Gallacher, Pete, Hill, Simon, Jaffray, David, Karlakki, Sudheer, Kelly, Cormac, Kennedy, Julia, Kiely, Nigel, Lewthwaite, Simon, Marquis, Chri, Ockendon, Matthew, Phillips, Stephen, Pickard, Simon, Richardson, Jame, Roach, Richard, Smith, Tony, Spencer-Jones, Richard, Steele, Niall, Steen, Julie, Van Liefland, Marck, White, Steve, Faulds, Matthew, Harris, Meredyth, Kelly, Carrie, Nicol, Scott, Pearson, Sally Anne, Chukkambotla, Srikanth, Andrew, Alyson, Attrill, Elizabeth, Campbell, Graham, Datson, Amanda, Fouracres, Anna, Graterol, Juan, Graves, Lynne, Hong, Bosun, Ishimaru, Alexander, Karthikeyan, Arvind, King, Helen, Lawson, Tom, Lee, Gregory, Lyons, Saoirse, Macalister Hall, Andrew, Mathoulin, Sophie, Mcintyre, Eilidh, Mclaughlin, Danny, Mulcahy, Kathleen, Ratcliffe, Anna, Robbins, Jame, Sung, Weilin, Tayo, Adeoluwa, Trembath, Lisa, Venugopal, Suneetha, Walker, Robert, Wigmore, Geoffrey, Boereboom, Catherine, Downes, Charlotte, Humphries, Ryan, Melbourne, Susan, Smith, Coral, Tou, Samson, Ullah, Shafa, Batchelor, Nick, Boxall, Leigh, Broomby, Rupert, Deen, Tariq, Hellewell, Alistair, Helliwell, Laurence, Hutchings, Melanie, Hutchins, David, Keenan, Samantha, Mackie, Donna, Donna, Alison, Smith, France, Stone, Lucy, Thorpe, Kevin, Wassall, Richard, Woodgate, Andrew, Baillie, Shelley, Campbell, Tara, James, Sarah, King, Chri, Marques de Araujo, Daniela, Martin, Daniel, Morkane, Clare, Neely, Julia, Rajendram, Rajkumar, Burton, Megan, James, Kathryn, Keevil, Edward, Minik, Orsolya, Morgan, Jenna, Musgrave, Anna, Rajanna, Harish, Roberts, Tracey, Adamson, Michael, Jumbe, Sandra, Kendall, Jennie, Muthuswamy, Mohan Babu, Anderson, Charlotte, Cruikshanks, Andrew, Wrench, Ian, Zeidan, Lisa, Ardern, Diane, Harris, Benjamin, Hellstrom, Johanna, Martin, Jane, Thomas, Richard, Varsani, Nimu, Wrey Brown, Caroline, Docherty, Philip, Gillies, Michael, McGregor, Euan, Usher, Helen, Craig, Jayne, Smith, Andrew, Ahmad, Tahania, Bodger, Phoebe, Creary, Thai, Fowler, Alexander, Hewson, Ru, Ijuo, Eke, Jones, Timothy, Kantsedikas, Ilya, Lahiri, Sumitra, McLean, Aaron Lawson, Niebrzegowska, Edyta, Phull, Mandeep, Wang, Difei, Wickboldt, Nadine, Baldwin, Jacqueline, Doyle, Donna, Mcmullan, Sean, Oladapo, Michelle, Owen, Thoma, Williams, Alexandra, Daniel, Hull, Gregory, Peter, Husain, Tauqeer, Kirk-Bayley, Justin, Mathers, Edward, Montague, Laura, White, Stuart, Avis, Joanne, Cook, Tim, Dali-Kemmery, Lola, Kerslake, Ian, Lambourne, Victoria, Pearson, Annabel, Boyd, Christine, Callaghan, Mark, Lawson, Cathy, McCrossan, Roopa, Nesbitt, Vanessa, O’connor, Laura, Scott, Julia, Sinclair, Rhona, Farid, Nahla, Morgese, Ciro, Bhatia, Kailash, Karmarkar, Swati, Ahmed, Jamil, Branagan, Graham, Hutton, Monica, Swain, Andrew, Brookes, Jamie, Cornell, Jonathan, Dolan, Rachael, Hulme, Jonathan, Jansen van Vuuren, Amanda, Jowitt, Tom, Kalashetty, Gunasheela, Lloyd, Fran, Patel, Kiran, Sherwood, Nichola, Brown, Lynne, Chandler, Ben, Deighton, Kerry, Emma, Temlett, Haunch, Kirsty, Cheeseman, Michelle, Dent, Kathy, Garg, Sanjeev, Gray, Carol, Hood, Marion, Jones, Dawn, Juj, Joanne, Rao, Roshan, Walker, Tara, Al Anizi, Mashel, Cheah, Clarissa, Cheing, Yushio, Coutinho, Francisco, Gondo, Prisca, Hadebe, Bernard, Onie Hove, Mazvangu, khader, Ahamed, Krishnachetty, Bobby, Rhodes, Karen, Sokhi, Jagdish, Baker, Katie-Anne, Bertram, Wendy, Looseley, Alex, Mouton, Ronelle, Arnold, Glenn, Arya, Shobhit, Balfoussia, Danai, Baxter, Linden, Harris, Jame, Jones, Craig, Knaggs, Alison, Markar, Sheraz, Perera, Anisha, Scott, Alasdair, Shida, Asako, Sirha, Ravneet, Wright, Sally, Frost, Victoria, Gray, Catherine, MacGregor, Mark, Andrews, Emma, Arrandale, Lindsay, Barrett, Stephen, Cifra, Elna, Cooper, Mariese, Dragnea, Drago, Elna, Cifra, Maclean, Jennifer, Meier, Sonja, Milliken, Donald, Munns, Christopher, Ratanshi, Nadir, Salvana, Abegail, Watson, Anthony, Ali, Hani, Campbell, Gill, Critchley, Rebecca, Hicks, Catherine, Liddle, Alison, Pass, Marc, Ritchie, Charlotte, Thomas, Charlotte, Too, Lingxi, Welsh, Sarah, Gill, Talvinder, Johnson, Joanne, Reed, Joanne, Davis, Edward, Papadopoullos, Sam, Attwood, Clare, Biffen, Andrew, Boulton, Kerenza, Gray, Sophie, Hay, David, Mills, Sarah, Montgomery, Jane, Riddell, Rory, Simpson, Jame, Bhardwaj, Neeraj, Paul, Elaine, Uwubamwen, Nosakhare, Alexander, Maini, Arrich, Jame, Arumugam, Swarna, Blackwood, Dougla, Boggiano, Victoria, Brown, Robyn, Lam Chan, Yik, Chatterjee, Devnandan, Chhabra, Ashok, Christian, Rachel, Costelloe, Hannah, Coxwell Matthewman, Madeline, Dalton, Emma, Darko, Julia, Davari, Maria, Dave, Tejal, Deacon, Matthew, Deepak, Shantal, Edmond, Holly, Ellis, Jessica, El-Sayed, Ahmed, Eneje, Philip, English, Rose, Ewe, Renee, Foers, William, Franklin, John, Gallego, Laura, Garrett, Emily, Goldberg, Olivia, Goss, Harry, Greaves, Rosanna, Harris, Rudy, Hennings, Charle, Jones, Eleanor, Kamali, Nelson, Kokkinos, Naomi, Lewis, Cary, Lignos, Leda, Malgapo, Evaleen Victoria, Malik, Rizwana, Milne, Andrew, Mulligan, John-Patrick, Nicklin, Philippa, Palipane, Natasha, Parsons, Thoma, Piper, Rebecca, Prakash, Rohan, Ramesh, Byron, Rasip, Sarah, Reading, Jacob, Rela, Mariam, Reyes, Anna, Robert, Stephen, Rooms, Martin, Shah, Karishma, Simons, Henry, Solanki, Shalil, Spowart, Emma, Stevens, Amy, Thomas, Christopher, Waggett, Helena, Yassaee, Arrash, Kennedy, Anthony, Scott, Sara, Somanath, Sameer, Berg, Andrew, Hernandez, Miguel, Nanda, Rajesh, Tank, Ghanshyambhai, Wilson, Natalie, 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Male ,HSJ UCI ,Critical Care and Intensive Care Medicine ,law.invention ,Perioperative Care/methods ,0302 clinical medicine ,Surgical procedures ,030202 anesthesiology ,law ,Critical care/utilisation, Postoperative care/methods, Postoperative care/statistics and numerical data, Surgical procedures, operative/mortality ,statistics and numerical data ,Prospective Studies ,Postoperative Period ,Postoperative care/methods ,education.field_of_study ,Postoperative care/method ,Elective Surgical Procedures/mortality ,fluid output ,Middle Aged ,fluid administration ,Intensive care unit ,Hospitalization ,Length of Stay/statistics & numerical data ,operative/mortality ,Intensive Care Units/statistics & numerical data ,outcome ,Female ,Elective Surgical Procedure ,Human ,Adult ,medicine.medical_specialty ,Logistic Model ,Postoperative care/statistics and numerical data ,Critical care/utilisation ,Population ,Intensive Care Unit ,Elective Surgical Procedures/statistics & numerical data ,Hospitalization/statistics & numerical data ,Humans ,Logistic Models ,Surgical procedures, operative/mortality ,Postoperative care ,methods ,Perioperative Care ,NO ,03 medical and health sciences ,Anesthesiology ,Intensive care ,medicine ,Elective surgery ,Intensive care medicine ,education ,business.industry ,030208 emergency & critical care medicine ,Perioperative ,Length of Stay ,Clinical trial ,Prospective Studie ,septic shock ,business - Abstract
PURPOSE: As global initiatives increase patient access to surgical treatments, there is a need to define optimal levels of perioperative care. Our aim was to describe the relationship between the provision and use of critical care resources and postoperative mortality. METHODS: Planned analysis of data collected during an international 7-day cohort study of adults undergoing elective in-patient surgery. We used risk-adjusted mixed-effects logistic regression models to evaluate the association between admission to critical care immediately after surgery and in-hospital mortality. We evaluated hospital-level associations between mortality and critical care admission immediately after surgery, critical care admission to treat life-threatening complications, and hospital provision of critical care beds. We evaluated the effect of national income using interaction tests. RESULTS: 44,814 patients from 474 hospitals in 27 countries were available for analysis. Death was more frequent amongst patients admitted directly to critical care after surgery (critical care: 103/4317 patients [2%], standard ward: 99/39,566 patients [0.3%]; adjusted OR 3.01 [2.10-5.21]; p < 0.001). This association may differ with national income (high income countries OR 2.50 vs. low and middle income countries OR 4.68; p = 0.07). At hospital level, there was no association between mortality and critical care admission directly after surgery (p = 0.26), critical care admission to treat complications (p = 0.33), or provision of critical care beds (p = 0.70). Findings of the hospital-level analyses were not affected by national income status. A sensitivity analysis including only high-risk patients yielded similar findings. CONCLUSIONS: We did not identify any survival benefit from critical care admission following surgery. info:eu-repo/semantics/publishedVersion
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- 2017
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50. Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas
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Gregory P. Way, Francisco Sanchez-Vega, Konnor La, Joshua Armenia, Walid K. Chatila, Augustin Luna, Chris Sander, Andrew D. Cherniack, Marco Mina, Giovanni Ciriello, Nikolaus Schultz, Yolanda Sanchez, Casey S. Greene, Samantha J. Caesar-Johnson, John A. Demchok, Ina Felau, Melpomeni Kasapi, Martin L. Ferguson, Carolyn M. Hutter, Heidi J. Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C. Zenklusen, Jiashan (Julia) Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy DeFreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I. Heiman, Jaegil Kim, Michael S. Lawrence, Pei Lin, Sam Meier, Michael S. Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila Reynolds, Ilya Shmulevich, Vesteinn Thorsson, Wei Zhang, Rehan Akbani, Bradley M. Broom, Apurva M. Hegde, Zhenlin Ju, Rupa S. 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Vocke, Nicolas Wentzensen, Robert Worrell, Hannah Yang, Marc Moncrieff, Chandra Goparaju, Jonathan Melamed, Harvey Pass, Natalia Botnariuc, Irina Caraman, Mircea Cernat, Inga Chemencedji, Adrian Clipca, Serghei Doruc, Ghenadie Gorincioi, Sergiu Mura, Maria Pirtac, Irina Stancul, Diana Tcaciuc, Monique Albert, Iakovina Alexopoulou, Angel Arnaout, John Bartlett, Jay Engel, Sebastien Gilbert, Jeremy Parfitt, Harman Sekhon, George Thomas, Doris M. Rassl, Robert C. Rintoul, Carlo Bifulco, Raina Tamakawa, Walter Urba, Nicholas Hayward, Henri Timmers, Anna Antenucci, Francesco Facciolo, Gianluca Grazi, Mirella Marino, Roberta Merola, Ronald de Krijger, Anne-Paule Gimenez-Roqueplo, Alain Piché, Simone Chevalier, Ginette McKercher, Kivanc Birsoy, Gene Barnett, Cathy Brewer, Carol Farver, Theresa Naska, Nathan A. Pennell, Daniel Raymond, Cathy Schilero, Kathy Smolenski, Felicia Williams, Carl Morrison, Jeffrey A. Borgia, Michael J. Liptay, Mark Pool, Christopher W. Seder, Kerstin Junker, Larsson Omberg, Mikhail Dinkin, George Manikhas, Domenico Alvaro, Maria Consiglia Bragazzi, Vincenzo Cardinale, Guido Carpino, Eugenio Gaudio, David Chesla, Sandra Cottingham, Michael Dubina, Fedor Moiseenko, Renumathy Dhanasekaran, Karl-Friedrich Becker, Klaus-Peter Janssen, Julia Slotta-Huspenina, Mohamed H. Abdel-Rahman, Dina Aziz, Sue Bell, Colleen M. Cebulla, Amy Davis, Rebecca Duell, J. Bradley Elder, Joe Hilty, Bahavna Kumar, James Lang, Norman L. Lehman, Randy Mandt, Phuong Nguyen, Robert Pilarski, Karan Rai, Lynn Schoenfield, Kelly Senecal, Paul Wakely, Paul Hansen, Ronald Lechan, James Powers, Arthur Tischler, William E. Grizzle, Katherine C. Sexton, Alison Kastl, Joel Henderson, Sima Porten, Jens Waldmann, Martin Fassnacht, Sylvia L. Asa, Dirk Schadendorf, Marta Couce, Markus Graefen, Hartwig Huland, Guido Sauter, Thorsten Schlomm, Ronald Simon, Pierre Tennstedt, Oluwole Olabode, Mark Nelson, Oliver Bathe, Peter R. Carroll, June M. Chan, Philip Disaia, Pat Glenn, Robin K. Kelley, Charles N. Landen, Joanna Phillips, Michael Prados, Jeffry Simko, Karen Smith-McCune, Scott VandenBerg, Kevin Roggin, Ashley Fehrenbach, Ady Kendler, Suzanne Sifri, Ruth Steele, Antonio Jimeno, Francis Carey, Ian Forgie, Massimo Mannelli, Michael Carney, Brenda Hernandez, Benito Campos, Christel Herold-Mende, Christin Jungk, Andreas Unterberg, Andreas von Deimling, Aaron Bossler, Joseph Galbraith, Laura Jacobus, Michael Knudson, Tina Knutson, Deqin Ma, Mohammed Milhem, Rita Sigmund, Andrew K. Godwin, Rashna Madan, Howard G. Rosenthal, Clement Adebamowo, Sally N. Adebamowo, Alex Boussioutas, David Beer, Thomas Giordano, Anne-Marie Mes-Masson, Fred Saad, Therese Bocklage, Lisa Landrum, Robert Mannel, Kathleen Moore, Katherine Moxley, Russel Postier, Joan Walker, Rosemary Zuna, Michael Feldman, Federico Valdivieso, Rajiv Dhir, James Luketich, Edna M. Mora Pinero, Mario Quintero-Aguilo, Carlos Gilberto Carlotti, Jose Sebastião Dos Santos, Rafael Kemp, Ajith Sankarankuty, Daniela Tirapelli, James Catto, Kathy Agnew, Elizabeth Swisher, Jenette Creaney, Bruce Robinson, Carl Simon Shelley, Eryn M. Godwin, Sara Kendall, Cassaundra Shipman, Carol Bradford, Thomas Carey, Andrea Haddad, Jeffey Moyer, Lisa Peterson, Mark Prince, Laura Rozek, Gregory Wolf, Rayleen Bowman, Kwun M. Fong, Ian Yang, Robert Korst, W. Kimryn Rathmell, J. Leigh Fantacone-Campbell, Jeffrey A. Hooke, Albert J. Kovatich, Craig D. Shriver, John DiPersio, Bettina Drake, Ramaswamy Govindan, Sharon Heath, Timothy Ley, Brian Van Tine, Peter Westervelt, Mark A. Rubin, Jung Il Lee, Natália D. Aredes, Armaz Mariamidze, Cancer Genome Atlas Research Network, Caesar-Johnson, S.J., Demchok, J.A., Felau, I., Kasapi, M., Ferguson, M.L., Hutter, C.M., Sofia, H.J., Tarnuzzer, R., Wang, Z., Yang, L., Zenklusen, J.C., Zhang, J.J., Chudamani, S., Liu, J., Lolla, L., Naresh, R., Pihl, T., Sun, Q., Wan, Y., Wu, Y., Cho, J., DeFreitas, T., Frazer, S., Gehlenborg, N., Getz, G., Heiman, D.I., Kim, J., Lawrence, M.S., Lin, P., Meier, S., Noble, M.S., Saksena, G., Voet, D., Zhang, H., Bernard, B., Chambwe, N., Dhankani, V., Knijnenburg, T., Kramer, R., Leinonen, K., Liu, Y., Miller, M., Reynolds, S., Shmulevich, I., Thorsson, V., Zhang, W., Akbani, R., Broom, B.M., Hegde, A.M., Ju, Z., Kanchi, R.S., Korkut, A., Li, J., Liang, H., Ling, S., Liu, W., Lu, Y., Mills, G.B., Ng, K.S., Rao, A., Ryan, M., Wang, J., Weinstein, J.N., Zhang, J., Abeshouse, A., Armenia, J., Chakravarty, D., Chatila, W.K., de Bruijn, I., Gao, J., Gross, B.E., Heins, Z.J., Kundra, R., La, K., Ladanyi, M., Luna, A., Nissan, 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Mose, L.E., Perou, A.H., Perou, C.M., Roach, J., Shi, Y., Simons, J.V., Skelly, T., Soloway, M.G., Tan, D., Veluvolu, U., Fan, H., Hinoue, T., Laird, P.W., Shen, H., Zhou, W., Bellair, M., Chang, K., Covington, K., Creighton, C.J., Dinh, H., Doddapaneni, H., Donehower, L.A., Drummond, J., Gibbs, R.A., Glenn, R., Hale, W., Han, Y., Hu, J., Korchina, V., Lee, S., Lewis, L., Li, W., Liu, X., Morgan, M., Morton, D., Muzny, D., Santibanez, J., Sheth, M., Shinbrot, E., Wang, L., Wang, M., Wheeler, D.A., Xi, L., Zhao, F., Hess, J., Appelbaum, E.L., Bailey, M., Cordes, M.G., Ding, L., Fronick, C.C., Fulton, L.A., Fulton, R.S., Kandoth, C., Mardis, E.R., McLellan, M.D., Miller, C.A., Schmidt, H.K., Wilson, R.K., Crain, D., Curley, E., Gardner, J., Lau, K., Mallery, D., Morris, S., Paulauskis, J., Penny, R., Shelton, C., Shelton, T., Sherman, M., Thompson, E., Yena, P., Bowen, J., Gastier-Foster, J.M., Gerken, M., Leraas, K.M., Lichtenberg, T.M., Ramirez, N.C., Wise, L., Zmuda, E., Corcoran, N., Costello, T., Hovens, C., Carvalho, A.L., de Carvalho, A.C., Fregnani, J.H., Longatto-Filho, A., Reis, R.M., Scapulatempo-Neto, C., Silveira, HCS, Vidal, D.O., Burnette, A., Eschbacher, J., Hermes, B., Noss, A., Singh, R., Anderson, M.L., Castro, P.D., Ittmann, M., Huntsman, D., Kohl, B., Le, X., Thorp, R., Andry, C., Duffy, E.R., Lyadov, V., Paklina, O., Setdikova, G., Shabunin, A., Tavobilov, M., McPherson, C., Warnick, R., Berkowitz, R., Cramer, D., Feltmate, C., Horowitz, N., Kibel, A., Muto, M., Raut, C.P., Malykh, A., Barnholtz-Sloan, J.S., Barrett, W., Devine, K., Fulop, J., Ostrom, Q.T., Shimmel, K., Wolinsky, Y., Sloan, A.E., De Rose, A., Giuliante, F., Goodman, M., Karlan, B.Y., Hagedorn, C.H., Eckman, J., Harr, J., Myers, J., Tucker, K., Zach, L.A., Deyarmin, B., Hu, H., Kvecher, L., Larson, C., Mural, R.J., Somiari, S., Vicha, A., Zelinka, T., Bennett, J., Iacocca, M., Rabeno, B., Swanson, P., Latour, M., Lacombe, L., Têtu, B., Bergeron, A., McGraw, M., Staugaitis, S.M., Chabot, J., Hibshoosh, H., Sepulveda, A., Su, T., Wang, T., Potapova, O., Voronina, O., Desjardins, L., Mariani, O., Roman-Roman, S., Sastre, X., Stern, M.H., Cheng, F., Signoretti, S., Berchuck, A., Bigner, D., Lipp, E., Marks, J., McCall, S., McLendon, R., Secord, A., Sharp, A., Behera, M., Brat, D.J., Chen, A., Delman, K., Force, S., Khuri, F., Magliocca, K., Maithel, S., Olson, J.J., Owonikoko, T., Pickens, A., Ramalingam, S., Shin, D.M., Sica, G., Van Meir, E.G., Eijckenboom, W., Gillis, A., Korpershoek, E., Looijenga, L., Oosterhuis, W., Stoop, H., van Kessel, K.E., Zwarthoff, E.C., Calatozzolo, C., Cuppini, L., Cuzzubbo, S., DiMeco, F., Finocchiaro, G., Mattei, L., Perin, A., Pollo, B., Chen, C., Houck, J., Lohavanichbutr, P., Hartmann, A., Stoehr, C., Stoehr, R., Taubert, H., Wach, S., Wullich, B., Kycler, W., Murawa, D., Wiznerowicz, M., Chung, K., Edenfield, W.J., Martin, J., Baudin, E., Bubley, G., Bueno, R., De Rienzo, A., Richards, W.G., Kalkanis, S., Mikkelsen, T., Noushmehr, H., Scarpace, L., Girard, N., Aymerich, M., Campo, E., Giné, E., Guillermo, A.L., Van Bang, N., Hanh, P.T., Phu, B.D., Tang, Y., Colman, H., Evason, K., Dottino, P.R., Martignetti, J.A., Gabra, H., Juhl, H., Akeredolu, T., Stepa, S., Hoon, D., Ahn, K., Kang, K.J., Beuschlein, F., Breggia, A., Birrer, M., Bell, D., Borad, M., Bryce, A.H., Castle, E., Chandan, V., Cheville, J., Copland, J.A., Farnell, M., Flotte, T., Giama, N., Ho, T., Kendrick, M., Kocher, J.P., Kopp, K., Moser, C., Nagorney, D., O'Brien, D., O'Neill, B.P., Patel, T., Petersen, G., Que, F., Rivera, M., Roberts, L., Smallridge, R., Smyrk, T., Stanton, M., Thompson, R.H., Torbenson, M., Yang, J.D., Zhang, L., Brimo, F., Ajani, J.A., Gonzalez, AMA, Behrens, C., Bondaruk, J., Broaddus, R., Czerniak, B., Esmaeli, B., Fujimoto, J., Gershenwald, J., Guo, C., Lazar, A.J., Logothetis, C., Meric-Bernstam, F., Moran, C., Ramondetta, L., Rice, D., Sood, A., Tamboli, P., Thompson, T., Troncoso, P., Tsao, A., Wistuba, I., Carter, C., Haydu, L., Hersey, P., Jakrot, V., Kakavand, H., Kefford, R., Lee, K., Long, G., Mann, G., Quinn, M., Saw, R., Scolyer, R., Shannon, K., Spillane, A., Stretch, J., Synott, M., Thompson, J., Wilmott, J., Al-Ahmadie, H., Chan, T.A., Ghossein, R., Gopalan, A., Levine, D.A., Reuter, V., Singer, S., Singh, B., Tien, N.V., Broudy, T., Mirsaidi, C., Nair, P., Drwiega, P., Miller, J., Smith, J., Zaren, H., Park, J.W., Hung, N.P., Kebebew, E., Linehan, W.M., Metwalli, A.R., Pacak, K., Pinto, P.A., Schiffman, M., Schmidt, L.S., Vocke, C.D., Wentzensen, N., Worrell, R., Yang, H., Moncrieff, M., Goparaju, C., Melamed, J., Pass, H., Botnariuc, N., Caraman, I., Cernat, M., Chemencedji, I., Clipca, A., Doruc, S., Gorincioi, G., Mura, S., Pirtac, M., Stancul, I., Tcaciuc, D., Albert, M., Alexopoulou, I., Arnaout, A., Bartlett, J., Engel, J., Gilbert, S., Parfitt, J., Sekhon, H., Thomas, G., Rassl, D.M., Rintoul, R.C., Bifulco, C., Tamakawa, R., Urba, W., Hayward, N., Timmers, H., Antenucci, A., Facciolo, F., Grazi, G., Marino, M., Merola, R., de Krijger, R., Gimenez-Roqueplo, A.P., Piché, A., Chevalier, S., McKercher, G., Birsoy, K., Barnett, G., Brewer, C., Farver, C., Naska, T., Pennell, N.A., Raymond, D., Schilero, C., Smolenski, K., Williams, F., Morrison, C., Borgia, J.A., Liptay, M.J., Pool, M., Seder, C.W., Junker, K., Omberg, L., Dinkin, M., Manikhas, G., Alvaro, D., Bragazzi, M.C., Cardinale, V., Carpino, G., Gaudio, E., Chesla, D., Cottingham, S., Dubina, M., Moiseenko, F., Dhanasekaran, R., Becker, K.F., Janssen, K.P., Slotta-Huspenina, J., Abdel-Rahman, M.H., Aziz, D., Bell, S., Cebulla, C.M., Davis, A., Duell, R., Elder, J.B., Hilty, J., Kumar, B., Lang, J., Lehman, N.L., Mandt, R., Nguyen, P., Pilarski, R., Rai, K., Schoenfield, L., Senecal, K., Wakely, P., Hansen, P., Lechan, R., Powers, J., Tischler, A., Grizzle, W.E., Sexton, K.C., Kastl, A., Henderson, J., Porten, S., Waldmann, J., Fassnacht, M., Asa, S.L., Schadendorf, D., Couce, M., Graefen, M., Huland, H., Sauter, G., Schlomm, T., Simon, R., Tennstedt, P., Olabode, O., Nelson, M., Bathe, O., Carroll, P.R., Chan, J.M., Disaia, P., Glenn, P., Kelley, R.K., Landen, C.N., Phillips, J., Prados, M., Simko, J., Smith-McCune, K., VandenBerg, S., Roggin, K., Fehrenbach, A., Kendler, A., Sifri, S., Steele, R., Jimeno, A., Carey, F., Forgie, I., Mannelli, M., Carney, M., Hernandez, B., Campos, B., Herold-Mende, C., Jungk, C., Unterberg, A., von Deimling, A., Bossler, A., Galbraith, J., Jacobus, L., Knudson, M., Knutson, T., Ma, D., Milhem, M., Sigmund, R., Godwin, A.K., Madan, R., Rosenthal, H.G., Adebamowo, C., Adebamowo, S.N., Boussioutas, A., Beer, D., Giordano, T., Mes-Masson, A.M., Saad, F., Bocklage, T., Landrum, L., Mannel, R., Moore, K., Moxley, K., Postier, R., Walker, J., Zuna, R., Feldman, M., Valdivieso, F., Dhir, R., Luketich, J., Pinero, EMM, Quintero-Aguilo, M., Carlotti, C.G., Dos Santos, J.S., Kemp, R., Sankarankuty, A., Tirapelli, D., Catto, J., Agnew, K., Swisher, E., Creaney, J., Robinson, B., Shelley, C.S., Godwin, E.M., Kendall, S., Shipman, C., Bradford, C., Carey, T., Haddad, A., Moyer, J., Peterson, L., Prince, M., Rozek, L., Wolf, G., Bowman, R., Fong, K.M., Yang, I., Korst, R., Rathmell, W.K., Fantacone-Campbell, J.L., Hooke, J.A., Kovatich, A.J., Shriver, C.D., DiPersio, J., Drake, B., Govindan, R., Heath, S., Ley, T., Van Tine, B., Westervelt, P., Rubin, M.A., Lee, J.I., Aredes, N.D., Mariamidze, A., SAIC-F-Frederick, Inc, and Leidos Biomedical Research, Inc.
- Subjects
0301 basic medicine ,Neuroblastoma RAS viral oncogene homolog ,Genetics and Molecular Biology (all) ,PATHOGENESIS ,pan-cancer ,PROTEIN ,Cancer Genome Atlas Research Network ,medicine.disease_cause ,computer.software_genre ,Genome ,Biochemistry ,Transcriptome ,Gene expression ,HRAS ,KRAS ,NF1 ,NRAS ,Ras ,TCGA ,drug sensitivity ,machine learning ,Neoplasms ,PRECISION ONCOLOGY ,lcsh:QH301-705.5 ,Regulation of gene expression ,PREVIOUSLY TREATED PATIENTS ,3. Good health ,Gene Expression Regulation, Neoplastic ,PHASE-II ,Life Sciences & Biomedicine ,Signal Transduction ,Biology ,Machine learning ,General Biochemistry, Genetics and Molecular Biology ,Article ,BRAF ,03 medical and health sciences ,Cell Line, Tumor ,medicine ,Biochemistry, Genetics and Molecular Biology (all) ,Humans ,Gene ,SIGNATURES ,Science & Technology ,business.industry ,Genome, Human ,MUTATIONS ,EXPRESSÃO GÊNICA ,Cell Biology ,SELUMETINIB ,GENE ,030104 developmental biology ,lcsh:Biology (General) ,Selumetinib ,ras Proteins ,Artificial intelligence ,business ,computer - Abstract
SUMMARY Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these “hidden responders” may reveal responsive molecular states. We describe and evaluate a machine-learning approach to classify aberrant pathway activity in tumors, which may aid in hidden responder identification. The algorithm integrates RNA-seq, copy number, and mutations from 33 different cancer types across The Cancer Genome Atlas (TCGA) PanCanAtlas project to predict aberrant molecular states in tumors. Applied to the Ras pathway, the method detects Ras activation across cancer types and identifies phenocopying variants. The model, trained on human tumors, can predict response to MEK inhibitors in wild-type Ras cell lines. We also present data that suggest that multiple hits in the Ras pathway confer increased Ras activity. The transcriptome is underused in precision oncology and, combined with machine learning, can aid in the identification of hidden responders., In Brief Way et al. develop a machine-learning approach using PanCanAtlas data to detect Ras activation in cancer. Integrating mutation, copy number, and expression data, the authors show that their method detects Ras-activating variants in tumors and sensitivity to MEK inhibitors in cell lines.
- Published
- 2018
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