21 results on '"van Tienhoven, A. J."'
Search Results
2. Incidence, Risk Factors and Outcome of Suspected Central Venous Catheter-related Infections in Critically Ill COVID-19 Patients
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Smit, Jasper M., Exterkate, Lotte, Van Tienhoven, Arne J., Haaksma, Mark E., Heldeweg, Micah L.A., Fleuren, Lucas, Thoral, Patrick, Dam, Tariq A., Heunks, Leo M.A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Vlaar, Alexander P., Dongelmans, Dave A., De Jong, Remko, Peters, Marco, Kamps, Marlijn J.A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., De Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, De Jager, Cornelis P.C., Hendriks, Stefaan H.A., Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert B., Cornet, Alexander D., Van Den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Faber, Harald J., Karakus, A., Entjes, Robert, De Jong, Paul, Rettig, Thijs C.D., Arbous, Sesmu, Vonk, Bas, Machado, Tomas, Girbes, Armand R.J., Sieswerda, Elske, Elbers, Paul W.G., Tuinman, Pieter R., Intensive care medicine, Radiology and nuclear medicine, Anesthesiology, Internal medicine, ACS - Diabetes & metabolism, ACS - Microcirculation, Amsterdam Cardiovascular Sciences, Cardio-thoracic surgery, General practice, AII - Infectious diseases, Medical Microbiology and Infection Prevention, ACS - Pulmonary hypertension & thrombosis, Intensive Care Medicine, APH - Quality of Care, Graduate School, AII - Cancer immunology, CCA - Cancer biology and immunology, and Intensive Care
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catheter-related infections ,Catheterization, Central Venous ,Critical Illness ,Incidence ,Other Research Radboud Institute for Health Sciences [Radboudumc 0] ,COVID-19 ,Critical Care and Intensive Care Medicine ,Central venous catheters ,All institutes and research themes of the Radboud University Medical Center ,Risk Factors ,Emergency Medicine ,Humans ,Retrospective Studies ,intensive care - Abstract
Background: Aims of this study were to investigate the prevalence and incidence of catheter-related infection, identify risk factors, and determine the relation of catheter-related infection with mortality in critically ill COVID-19 patients. Methods: This was a retrospective cohort study of central venous catheters (CVCs) in critically ill COVID-19 patients. Eligible CVC insertions required an indwelling time of at least 48 hours and were identified using a full-admission electronic health record database. Risk factors were identified using logistic regression. Differences in survival rates at day 28 of follow-up were assessed using a log-rank test and proportional hazard model. Results: In 538 patients, a total of 914 CVCs were included. Prevalence and incidence of suspected catheter-related infection were 7.9% and 9.4 infections per 1,000 catheter indwelling days, respectively. Prone ventilation for more than 5 days was associated with increased risk of suspected catheter-related infection; odds ratio, 5.05 (95% confidence interval 2.12-11.0). Risk of death was significantly higher in patients with suspected catheter-related infection (hazard ratio, 1.78; 95% confidence interval, 1.25-2.53). Conclusions: This study shows that in critically ill patients with COVID-19, prevalence and incidence of suspected catheter-related infection are high, prone ventilation is a risk factor, and mortality is higher in case of catheter-related infection.
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- 2022
3. Do Not Estimate, When You Can Measure.
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Zijlstra, G. Jan, van Tienhoven, Arne J., and van Meurs, Matijs
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DRUG monitoring , *CRITICAL care medicine , *KIDNEY physiology , *ACUTE kidney failure , *URINARY catheters - Abstract
The article discusses the use of estimated glomerular filtration rate (GFR) in the treatment of critically ill patients. The authors argue that GFR estimations based on plasma levels are unreliable and suggest using 24-hour urine collections and creatinine plasma levels to measure GFR instead. They also mention that therapeutic drug monitoring is a more reliable method for dosing drugs based on renal function. The authors acknowledge the need for further research in developing equitable approaches to kidney function assessment in critical care practice. [Extracted from the article]
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- 2024
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- View/download PDF
4. Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
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Fleuren, Lucas M., de Bruin, Daan P., Tonutti, Michele, Lalisang, Robbert C.A., Elbers, Paul W.G., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, Dam, Tariq, de Keizer, Nicolet F., Raeissi, Masoume, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J.A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, Jannet, Dormans, Tom, Houwert, Taco, Hovenkamp, Hidde, Londono, Roberto Noorduijn, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Ercole, Ari, van der Schaar, Mihaela, Beudel, Martijn, Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Thoral, Patrick J., Roggeveen, Luca, van Diggelen, Fuda, el Hassouni, Ali, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, Neree tot Babberich, Michael de, Thijssens, Olivier, Wagemakers, Lot, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan, Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Simsek, Suat, van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia, Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits, de Kruif, Martijn, Hendriks, Stefaan H.A., Schroten, Nicolas, Boelens, Age D., Arnold, Klaas Sierk, Karakus, A., Fijen, J. W., Festen-Spanjer, Barbara, Achterberg, Sefanja, Lens, Judith, van Koesveld, Jacomar, van den Tempel, Walter, Simons, Koen S., de Jager, Cornelis P.C., Oostdijk, Evelien, Labout, Joost, van der Gaauw, Bart, Reidinga, Auke C., Koetsier, Peter, Kuiper, Michael, Cornet, Alexander D., Beishuizen, Albertus, de Jong, Paul, Geutjes, Dennis, Faber, Harald J., Lutisan, Johan, Brunnekreef, Gert, Gemert, Ankie W.M.M.Koopman van, Entjes, Robert, van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn, Intensive Care, Medical Informatics, APH - Methodology, APH - Quality of Care, Intensive Care Medicine, Neurology, ANS - Neurodegeneration, AII - Inflammatory diseases, APH - Digital Health, Artificial intelligence, Network Institute, Computational Intelligence, Artificial Intelligence (section level), Mathematics, Intensive care medicine, VU University medical center, ACS - Microcirculation, ACS - Diabetes & metabolism, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, and MUMC+: MA Medische Staf IC (9)
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2019-20 coronavirus outbreak ,Letter ,Coronavirus disease 2019 (COVID-19) ,Critically ill ,business.industry ,Information Dissemination ,Critical Illness ,MEDLINE ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,COVID-19 ,Critical Care and Intensive Care Medicine ,Data warehouse ,Data sharing ,Intensive Care Units ,SDG 3 - Good Health and Well-being ,Data Warehousing ,Scale (social sciences) ,Medicine ,Humans ,Operations management ,business ,Netherlands - Abstract
Contains fulltext : 238662.pdf (Publisher’s version ) (Closed access)
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- 2021
5. Incidence, Risk Factors and Outcome of Suspected Central Venous Catheter-related Infections in Critically Ill COVID-19 Patients: A Multicenter Retrospective Cohort Study
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Medische Staf Intensive Care, Infection & Immunity, MMB Medische Staf, Exterkate, Lotte, van Tienhoven, Arne J, Haaksma, Mark E, Heldeweg, Micah L A, Fleuren, Lucas, Thoral, Patrick, Dam, Tariq A, Heunks, Leo M A, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Vlaar, Alexander P, Dongelmans, Dave A, de Jong, Remko, Peters, Marco, Kamps, Marlijn J A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G C A, de Ruijter, Wouter, Urlings-Strop, Louise C, Smit, Ellen G M, Mehagnoul-Schipper, D Jannet, Dormans, Tom, de Jager, Cornelis P C, Hendriks, Stefaan H A, Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C, Festen-Spanjer, Barbara, Brunnekreef, Gert B, Cornet, Alexander D, van den Tempel, Walter, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C D, Arbous, Sesmu, Vonk, Bas, Machado, Tomas, Girbes, Armand R J, Sieswerda, Elske, Elbers, Paul W G, Tuinman, Pieter R, Medische Staf Intensive Care, Infection & Immunity, MMB Medische Staf, Exterkate, Lotte, van Tienhoven, Arne J, Haaksma, Mark E, Heldeweg, Micah L A, Fleuren, Lucas, Thoral, Patrick, Dam, Tariq A, Heunks, Leo M A, Gommers, Diederik, Cremer, Olaf L, Bosman, Rob J, Rigter, Sander, Wils, Evert-Jan, Frenzel, Tim, Vlaar, Alexander P, Dongelmans, Dave A, de Jong, Remko, Peters, Marco, Kamps, Marlijn J A, Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G C A, de Ruijter, Wouter, Urlings-Strop, Louise C, Smit, Ellen G M, Mehagnoul-Schipper, D Jannet, Dormans, Tom, de Jager, Cornelis P C, Hendriks, Stefaan H A, Achterberg, Sefanja, Oostdijk, Evelien, Reidinga, Auke C, Festen-Spanjer, Barbara, Brunnekreef, Gert B, Cornet, Alexander D, van den Tempel, Walter, Boelens, Age D, Koetsier, Peter, Lens, Judith, Faber, Harald J, Karakus, A, Entjes, Robert, de Jong, Paul, Rettig, Thijs C D, Arbous, Sesmu, Vonk, Bas, Machado, Tomas, Girbes, Armand R J, Sieswerda, Elske, Elbers, Paul W G, and Tuinman, Pieter R
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- 2022
6. Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse
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Fleuren, Lucas M., Tonutti, Michele, de Bruin, Daan P., Lalisang, Robbert C.A., Dam, Tariq A., Gommers, Diederik, Cremer, Olaf L., Bosman, Rob J., Vonk, Sebastiaan J.J., Fornasa, Mattia, Machado, Tomas, van der Meer, Nardo J.M., Rigter, Sander, Wils, Evert Jan, Frenzel, Tim, Dongelmans, Dave A., de Jong, Remko, Peters, Marco, Kamps, Marlijn J.A., Ramnarain, Dharmanand, Nowitzky, Ralph, Nooteboom, Fleur G.C.A., de Ruijter, Wouter, Urlings-Strop, Louise C., Smit, Ellen G.M., Mehagnoul-Schipper, D. Jannet, Dormans, Tom, de Jager, Cornelis P.C., Hendriks, Stefaan H.A., Oostdijk, Evelien, Reidinga, Auke C., Festen-Spanjer, Barbara, Brunnekreef, Gert, Cornet, Alexander D., van den Tempel, Walter, Boelens, Age D., Koetsier, Peter, Lens, Judith, Achterberg, Sefanja, Faber, Harald J., Karakus, A., Beukema, Menno, Entjes, Robert, de Jong, Paul, Houwert, Taco, Hovenkamp, Hidde, Noorduijn Londono, Roberto, Quintarelli, Davide, Scholtemeijer, Martijn G., de Beer, Aletta A., Cinà, Giovanni, Beudel, Martijn, de Keizer, Nicolet F., Hoogendoorn, Mark, Girbes, Armand R.J., Herter, Willem E., Elbers, Paul W.G., Thoral, Patrick J., Rettig, Thijs C.D., Reuland, M. C., van Manen, Laura, Montenij, Leon, van Bommel, Jasper, van den Berg, Roy, van Geest, Ellen, Hana, Anisa, Boersma, W. G., van den Bogaard, B., Pickkers, Peter, van der Heiden, Pim, van Gemeren, Claudia C.W., Meinders, Arend Jan, de Bruin, Martha, Rademaker, Emma, van Osch, Frits H.M., de Kruif, Martijn, Schroten, Nicolas, Arnold, Klaas Sierk, Fijen, J. W., van Koesveld, Jacomar J.M., Simons, Koen S., Labout, Joost, van de Gaauw, Bart, Kuiper, Michael, Beishuizen, Albertus, Geutjes, Dennis, Lutisan, Johan, Grady, Bart P.X., van den Akker, Remko, Simons, Bram, Rijkeboer, A. A., Arbous, Sesmu, Aries, Marcel, van den Oever, Niels C.Gritters, van Tellingen, Martijn, Dijkstra, Annemieke, van Raalte, Rutger, Roggeveen, Luca, van Diggelen, Fuda, Hassouni, Ali el, Guzman, David Romero, Bhulai, Sandjai, Ouweneel, Dagmar, Driessen, Ronald, Peppink, Jan, de Grooth, H. J., Zijlstra, G. J., van Tienhoven, A. J., van der Heiden, Evelien, Spijkstra, Jan Jaap, van der Spoel, Hans, de Man, Angelique, Klausch, Thomas, de Vries, Heder, de Neree tot Babberich, Michael, Thijssens, Olivier, Wagemakers, Lot, van der Pol, Hilde G.A., Hendriks, Tom, Berend, Julie, Silva, Virginia Ceni, Kullberg, Bob, Heunks, Leo, Juffermans, Nicole, Slooter, Arjan, Intensive care medicine, ACS - Diabetes & metabolism, ACS - Microcirculation, Amsterdam Cardiovascular Sciences, Neurology, AII - Infectious diseases, AII - Cancer immunology, CCA - Cancer biology and immunology, AII - Inflammatory diseases, Epidemiology and Data Science, APH - Methodology, ACS - Pulmonary hypertension & thrombosis, Intensive Care Medicine, APH - Quality of Care, Medical Informatics, Graduate School, Nephrology, Cardiology, Gastroenterology and Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, APH - Digital Health, Artificial intelligence, Network Institute, Computational Intelligence, Artificial Intelligence (section level), Mathematics, Intensive Care, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, MUMC+: MA Medische Staf IC (9), and Internal medicine
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Icu patients ,Coronavirus disease 2019 (COVID-19) ,Adverse outcomes ,medicine.medical_treatment ,Critical Care and Intensive Care Medicine ,Machine learning ,computer.software_genre ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,SDG 3 - Good Health and Well-being ,law ,SCORE ,medicine ,030212 general & internal medicine ,Risk factor ,Research Articles ,Mechanical ventilation ,business.industry ,RC86-88.9 ,Other Research Radboud Institute for Health Sciences [Radboudumc 0] ,COVID-19 ,030208 emergency & critical care medicine ,Medical emergencies. Critical care. Intensive care. First aid ,Intensive care unit ,Data warehouse ,Data extraction ,Mortality prediction ,Risk factors ,Artificial intelligence ,business ,computer - Abstract
Background The identification of risk factors for adverse outcomes and prolonged intensive care unit (ICU) stay in COVID-19 patients is essential for prognostication, determining treatment intensity, and resource allocation. Previous studies have determined risk factors on admission only, and included a limited number of predictors. Therefore, using data from the highly granular and multicenter Dutch Data Warehouse, we developed machine learning models to identify risk factors for ICU mortality, ventilator-free days and ICU-free days during the course of invasive mechanical ventilation (IMV) in COVID-19 patients. Methods The DDW is a growing electronic health record database of critically ill COVID-19 patients in the Netherlands. All adult ICU patients on IMV were eligible for inclusion. Transfers, patients admitted for less than 24 h, and patients still admitted at time of data extraction were excluded. Predictors were selected based on the literature, and included medication dosage and fluid balance. Multiple algorithms were trained and validated on up to three sets of observations per patient on day 1, 7, and 14 using fivefold nested cross-validation, keeping observations from an individual patient in the same split. Results A total of 1152 patients were included in the model. XGBoost models performed best for all outcomes and were used to calculate predictor importance. Using Shapley additive explanations (SHAP), age was the most important demographic risk factor for the outcomes upon start of IMV and throughout its course. The relative probability of death across age values is visualized in Partial Dependence Plots (PDPs), with an increase starting at 54 years. Besides age, acidaemia, low P/F-ratios and high driving pressures demonstrated a higher probability of death. The PDP for driving pressure showed a relative probability increase starting at 12 cmH2O. Conclusion Age is the most important demographic risk factor of ICU mortality, ICU-free days and ventilator-free days throughout the course of invasive mechanical ventilation in critically ill COVID-19 patients. pH, P/F ratio, and driving pressure should be monitored closely over the course of mechanical ventilation as risk factors predictive of these outcomes.
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- 2021
7. Answer to Photoquiz A fascinating liver abscess
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van Beers, C. A. J., van Tienhoven, A. J., Stijnis, C., Veenstra, J., Graduate School, APH - Aging & Later Life, and APH - Global Health
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- 2020
8. A fascinating liver abscess
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van Beers, C. A. J., van Tienhoven, A. J., Stijnis, C., Veenstra, J., Graduate School, APH - Aging & Later Life, and APH - Global Health
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- 2020
9. Pitfalls in SIADH-diagnosed hyponatraemia : Report of two cases
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van Tienhoven, A J, Buikema, J W, Veenstra, J, and van der Poest Clement, E H
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endocrine system diseases ,Journal Article - Abstract
In the majority of hospitalised patients with hyponatraemia, syndrome of inappropriate antidiuretic hormone secretion (SIADH) is the primary cause. Before considering SIADH, adrenal, thyroid and pituitary insufficiency should be ruled out. However, the evaluation of these contains potential pitfalls which could lead to incorrect diagnosing of SIADH. Here we present two cases in which a suspected SIADH turned out to be caused by hypopituitarism, emphasising the importance of correctly excluding adrenal, thyroid and pituitary insufficiency.
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- 2018
10. Pitfalls in SIADH-diagnosed hyponatraemia: Report of two cases
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Regenerative Medicine and Stem Cells, Arts Assistenten Cardiologie, Circulatory Health, van Tienhoven, A J, Buikema, J W, Veenstra, J, van der Poest Clement, E H, Regenerative Medicine and Stem Cells, Arts Assistenten Cardiologie, Circulatory Health, van Tienhoven, A J, Buikema, J W, Veenstra, J, and van der Poest Clement, E H
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- 2018
11. Preoperative radiotherapy followed by surgery versus surgery alone for rectal cancer
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Boermgester, M. A., primary, Taat, C. W., additional, van Duijvendijk, P., additional, van Tienhoven, G. J., additional, and Obertop, H., additional
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- 1998
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12. A fascinating liver abscess.
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van Beers CAJ, van Tienhoven AJ, Stijnis C, and Veenstra J
- Published
- 2020
13. Answer to Photoquiz A fascinating liver abscess.
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van Beers CAJ, van Tienhoven AJ, Stijnis C, and Veenstra J
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- 2020
14. [Lymphogranuloma venereum, an STI that is sometimes recognized late in secondary care].
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Bosma JW, van Tienhoven AJ, Thiesbrummel HFJ, de Vries HJC, and Veenstra J
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- Adult, Anti-Bacterial Agents therapeutic use, Chlamydia trachomatis genetics, Delayed Diagnosis, Doxycycline therapeutic use, Genotype, Humans, Lymphogranuloma Venereum drug therapy, Male, Middle Aged, Secondary Care, Homosexuality, Male, Lymphogranuloma Venereum diagnosis
- Abstract
Lymphogranuloma venereum (LGV) is an invasive sexually transmitted infection caused by Chlamydia trachomatis genotypes L1, L2 and L3. Until recently, LGV was rarely seen in developed countries. However, an outbreak of LGV infections in Europe amongst men who have sex with men (MSM) has been reported in the past decades. Diagnosing LGV can be challenging since there is no pathognomic clinical presentation. Most patients are diagnosed with LGV by Community Healthcare Services and general practitioners. Recent data show that a significant diagnostic delay can occur when patients present in a hospital with symptoms due to LGV infection. This can result in unnecessary additional diagnostic procedures and a subsequent diagnostic delay. In order to create more awareness, we describe 3 cases in our hospital with an initially unrecognized LGV infection. We also discuss the epidemiology, clinical manifestations, diagnostic process and treatment of LGV infection.
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- 2020
15. The utility of peripheral venous lactate in emergency department patients with normal and higher lactate levels: A prospective observational study.
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Van Tienhoven AJ, Van Beers C, Siegert C, and Nanayakkara P
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- Arteries, Humans, Prospective Studies, Veins, Emergency Service, Hospital, Lactic Acid blood
- Abstract
Objective: to assess the utility of peripheral venous lactate (PVL) in Emergency Department patients., Methods: arteriovenous agreement was assessed in three subgroups: PVL <2 mmol/l, PVL ≥ 2 mmol/l to < 4 mmol/l and PVL ≥ 4 mmol/l. The predictive value of PVL to predict arterial lactate (AL) ≥2 mmol/l was assessed at different cut-off values., Results: 74 samples were analysed. The venous-arterial mean difference and 95% limits of agreement for the subgroups were 0.25 mmol/l (-0.18 to 0.68), 0.37 mmol/l (-0.57 to 1.32) and -0.89 mmol/l (-3.75 to 1.97). PVL ≥2 mmol/l predicts AL ≥2 mmol/l with 100% sensitivity., Conclusion: PVL <2 mmol/l rules out arterial hyperlactatemia. As agreement declines in higher levels, arterial sampling should be considered.
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- 2020
16. Agreement between arterial and peripheral venous lactate levels in the ED: A systematic review.
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van Tienhoven AJ, van Beers CAJ, and Siegert CEH
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- Arteries, Emergency Service, Hospital, Humans, Hyperlactatemia blood, Sepsis blood, Veins, Hyperlactatemia diagnosis, Lactic Acid blood, Sepsis diagnosis
- Abstract
Background: In the Emergency Department, lactate measurement is a useful tool to risk-stratify critically ill patients. However, it is unclear whether arterial or peripheral venous lactate levels can be used interchangeably for this purpose. In this systematic review, we provide an overview of studies investigating the agreement between arterial and peripheral venous lactate levels in the Emergency Department., Methods: PubMed, Embase, the Cochrane Central Register of Controlled Trials/Wiley, Web of Science/Clarivate Analytics, and references of selected articles were assessed for all studies comparing arterial and peripheral venous lactate levels in adult patients in the emergency department. Two reviewers independently screened all potentially relevant titles and abstracts for eligibility using a standardized data-worksheet., Results: Nine studies were included. Peripheral venous lactate levels tend to be higher than arterial lactate levels with mean differences ranging from 0.18 mmol/l to 1.06 mmol/l. Importantly, poorer agreement occurs in hyperlactatemia. At a cut-of level of 1.6 mmol/l, peripheral venous lactate can rule out arterial hyperlactatemia with a sensitivity between 94% and 100%. At a cut off value of 2 mmol/l, sensitivities of 97% and 100% were found., Conclusion: Agreement between arterial and peripheral venous lactate is poor in hyperlactatemia, making peripheral venous lactate an unreliable parameter to use interchangeably in the ED. In clinical practice, peripheral venous lactate can be used as a screening tool to rule out arterial hyperlactatemia at a cut-off value of 2 mmol/l. However, hyperlactatemia should be confirmed using arterial sampling in case of a peripheral venous lactate level > 2 mmol/l., (Copyright © 2019 Elsevier Inc. All rights reserved.)
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- 2019
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17. Pitfalls in SIADH-diagnosed hyponatraemia: Report of two cases.
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van Tienhoven AJ, Buikema JW, Veenstra J, and van der Poest Clement EH
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- Aged, Diagnosis, Differential, Female, Humans, Male, Middle Aged, Hyponatremia etiology, Hypopituitarism complications, Hypopituitarism diagnosis, Inappropriate ADH Syndrome diagnosis
- Abstract
In the majority of hospitalised patients with hyponatraemia, syndrome of inappropriate antidiuretic hormone secretion (SIADH) is the primary cause. Before considering SIADH, adrenal, thyroid and pituitary insufficiency should be ruled out. However, the evaluation of these contains potential pitfalls which could lead to incorrect diagnosing of SIADH. Here we present two cases in which a suspected SIADH turned out to be caused by hypopituitarism, emphasising the importance of correctly excluding adrenal, thyroid and pituitary insufficiency.
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- 2018
18. [Splenic abscess].
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van Tienhoven AJ, Lambers WM, Tan TP, van Wagensveld BA, Peerboom P, and Veenstra J
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- Abdominal Abscess etiology, Adult, Aged, Colonic Neoplasms complications, Diagnosis, Differential, Female, Fistula complications, Humans, Male, Middle Aged, Splenic Diseases etiology, Abdominal Abscess diagnosis, Splenic Diseases diagnosis
- Abstract
Splenic abscess is a rare and potentially lethal clinical condition. The most common symptoms of a splenic abscess - abdominal pain, nausea and fever - are non-specific. As a result, a splenic abscess is often not considered in the initial work-up. This might lead to a delay in diagnosis and treatment. In this case series we successively describe a 41-year-old female with a splenic abscess after Streptococcus milleri bacteraemia, a 78-year-old male with a splenic abscess caused by a colon carcinoma and a 52-year-old male with a splenic abscess resulting from a colosplenic fistula after bariatric surgery. By emphasizing the different aetiologies, the different clinical presentations and the different therapeutic options of a splenic abscess, we aim to create greater awareness of this rare clinical phenomenon.
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- 2017
19. Answer to Photo Quiz: A butterfly in the belly: an unusual cause of intestinal obstruction.
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van Tienhoven AJ, van Turenhout ST, Jensch S, Van Veen RN, and Veenstra J
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- Animals, Humans, Butterflies, Intestinal Obstruction
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- 2016
20. A butterfly in the belly: an unusual cause of intestinal obstruction.
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van Tienhoven AJ, van Turenhout ST, Jensch S, Van Veen RN, and Veenstra J
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- Anti-HIV Agents therapeutic use, HIV Infections complications, HIV Infections drug therapy, Humans, Intestinal Obstruction etiology, Intestinal Obstruction surgery, Jejunal Diseases etiology, Jejunal Diseases surgery, Male, Middle Aged, Peritoneal Fibrosis complications, Peritoneal Fibrosis pathology, Peritoneal Fibrosis surgery, Tomography, X-Ray Computed, Intestinal Obstruction diagnostic imaging, Jejunal Diseases diagnostic imaging, Peritoneal Fibrosis diagnostic imaging
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- 2016
21. The impact of the use of the Early Warning Score (EWS) on patient outcomes: a systematic review.
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Alam N, Hobbelink EL, van Tienhoven AJ, van de Ven PM, Jansma EP, and Nanayakkara PW
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- Critical Care statistics & numerical data, Disease Progression, Heart Arrest mortality, Hospital Mortality, Humans, Length of Stay statistics & numerical data, Treatment Outcome, Critical Illness mortality, Monitoring, Physiologic methods
- Abstract
Background: Acute deterioration in critical ill patients is often preceded by changes in physiological parameters, such as pulse, blood pressure, temperature and respiratory rate. If these changes in the patient's vital parameters are recognized early, excess mortality and serious adverse events (SAEs) such as cardiac arrest may be prevented. The Early Warning Score (EWS) is a scoring system which assists with the detection of physiological changes and may help identify patients at risk of further deterioration., Objectives: The aim of this systematic review is to evaluate the impact of the use of the Early Warning Score (EWS) on particular patient outcomes, such as in-hospital mortality, patterns of intensive care unit admission and usage, length of hospital stay, cardiac arrests and other serious adverse events of adult patients on general wards and in medical admission units., Design and Setting: Systematic review of studies identified from the bibliographic databases of PubMed, EMBASE.com and The Cochrane Library., Selection Criteria: All controlled studies which measured in-hospital mortality, ICU mortality, serious adverse events (SAEs), cardiopulmonary arrest, length of stay and documentation of physiological parameters which used a EWS on the ward or the emergency department to identify patients at risk were included in the review., Data Collection and Analysis: Three reviewers (NA, AT and EH) independently screened all potentially relevant titles and abstracts for eligibility, by using a standardized data-worksheet. Meta-analysis was not possible due to heterogeneity., Main Results: Seven studies met the inclusion criteria. The results of our included studies were mixed, with a positive trend towards better clinical outcomes following the introduction of the EWS chart, sometimes coupled with an outreach service. Six of the seven included studies used mortality as an endpoint: two of these studies reported no significant difference in in-hospital mortality rate; two found a significant reduction of in-hospital mortality; two other studies described a trend towards improved survival. Although, both ICU mortality and serious adverse events were not significantly improved, there was a trend towards reduction of these endpoints after introduction of the EWS. However only two studies looked respectively at each endpoint. There were conflicting results concerning cardiopulmonary arrests. One study found a reduction in the incidence of cardiac arrest calls as well as in the mortality of patients who underwent CPR, while another one found an increased incidence of cardio-pulmonary arrests. Neither study met all methodological quality criteria., Conclusion: The EWS itself is a simple and easy to use tool at the bedside, which may be of help in recognizing patients with potential for acute deterioration. Coupled with an outreach service, it may be used to timely initiate adequate treatment upon recognition, which may influence the clinical outcomes positively. However, the use of adapted forms of the EWS together with different thresholds, poor or inadequate methodology makes it difficult in drawing comparisons. A general conclusion can thus not be generated from the lack of use of a single standardized score and the use of different populations. In future large multi-centre trials using one standardized score are needed also in order to facilitate comparison., (Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.)
- Published
- 2014
- Full Text
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