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This study investigates the application of discrete event simulation in analyzing patient management and cost dynamics within a hospital system. A simulation that integrates machine learning models, specifically Decision Trees, Random Forests, Support Vector Machines, and Gradient Boosting methods, to predict treatment costs and appointment availability was developed. Conducted over 30 days, the simulation generates synthetic data for training the models. The results are assessed in terms of the total number of patients treated, cumulative costs incurred, and the cost-effectiveness of each predictive model. The findings reveal significant variations in the performance of different machine learning techniques, demonstrating that adopting advanced analytics can substantially improve hospital resource management. This research aims to develop more efficient patient care strategies, contributing to optimizing hospital operations and enhancing patient experiences. [ABSTRACT FROM AUTHOR]

Objective: Epilepsy requires continuous medical attention from multiple healthcare specialists, specialized facilities, and community‐based care. In Spain, there is no standardized approach to epilepsy care. The aim of this study was to identify the factors impacting on the delivery of high‐quality care by exploring key steps and barriers along the patient journey through the Spanish National Healthcare System (NHS). Methods: A qualitative study was conducted using opinions and experiences of neurologists, nurses, patients, and caregivers shared in discussion meetings. Using thematic content analyses, relevant aim‐focused statements were coded according to prespecified issues in a discussion map (i.e., key steps and barriers), and sub‐coded according to emerging issues. Thematic saturation and co‐occurrence of key steps/barriers were evaluated to identify the most relevant factors impacting on the delivery of high‐quality care. Results: Sixty‐five stakeholders took part in discussion meetings (36 neurologists, 10 nurses, 10 patients, and nine caregivers). Six key steps on the patient journey were identified: emergency care, diagnosis, drug therapy, follow‐up, referral, and interventional treatment. Of these, follow‐up was the most relevant step impacting on the delivery of high‐quality patient care, followed by drug therapy and diagnosis. Emergency care was considered a hot‐spot step with impact throughout the patient journey. Communication (among HCPs and between HCPs and patients) was a barrier to the delivery of high‐quality care at several stages of the patient journey, including drug therapy, follow‐up, referral, and interventional treatment. Resource availability was a barrier for diagnosis (especially for confirmation), drug therapy (drug availability), and referral (lack of professionals and specialized centers, and long waiting lists). Significance: This is the first study capturing perspectives of four key stakeholders involved in epilepsy care in Spain. We provide an overview of the patient journey through the Spanish NHS and highlight opportunities to improve the delivery of patient‐centered care with a chronicity perspective. Plain Language Summary: Patients with epilepsy may require prolonged medical care. In Spain, care is provided by a range of specialist and non‐specialist centers. In this study, a team of Spanish neurologists, nurses, patients and caregivers identified barriers that affect the delivery of high‐quality care for patients with epilepsy at each stage of their journey through the Spanish NHS. Specific epilepsy training for healthcare providers, appropriate resources for diagnosing and treating patients, and good communication between healthcare workers and patients were identified as important factors in providing high‐quality care for patients with epilepsy. [ABSTRACT FROM AUTHOR]

Background: Pulmonary vein isolation (PVI) using cryoballoon (CB) ablation has comparable efficacy and safety to the gold standard of radiofrequency ablation in the treatment of symptomatic atrial fibrillation (AF). Initial randomized control trials were performed using Arctic Front Advance Pro™ (AFr) (Medtronic, Dublin, Ireland) CB system. Novel CB systems have recently become available, including the POLARx™ (Px) (Boston Scientific, Marlborough, Massachusetts, USA) system. We aimed to compare PVI using the Px and the AFr CB systems in our patient population in terms of efficacy, safety and procedure characteristics in a routine clinical setting. Methods: We performed a retrospective analysis of our internal AF ablation registry, containing 452 consecutive patients (pts) that underwent first procedure cryo-PVI for symptomatic AF. Primary endpoints were AF recurrence after 3 and 12 months, complication rate, procedure duration, fluoroscopy time and fluoroscopy dose. Secondary endpoints were minimal freeze temperature, time to isolation (TTI) and temperature at TTI for each of the pulmonary veins as well as minimal esophageal temperature during the procedure. Results: The primary efficacy endpoints of AF recurrence after 3 and 12 months were similar between the AFr and the Px systems (25.5% vs 21.3%, p = 0.416 and 22.2% vs 20.6%, p = 0.794, respectively). Complication rates were similar (3.9% vs 6.8%, p = 0.18) between groups and consisted mostly of mild vascular complications. The AFr group showed a significantly shorter procedural duration (68 (55–77) vs 73 (60–80) min, p = 0.002), and lower fluoroscopy dose compared to the Px system. Fluoroscopy times remained similar, however. Minimal freeze temperatures and temperatures at time of isolation were significantly lower in the Px group. However, the time to isolation and minimal procedural esophageal temperature were similar in both groups. Conclusion: PVI using the AFr and the Px systems showed comparable safety and efficacy. Procedural times were longer for the Px system. The Px system showed lower freeze temperature measurements but seemed to have a comparable biological effect. [ABSTRACT FROM AUTHOR]

Minimally Invasive Robotic Surgery (MIRS) has emerged as a transformative approach in surgical practice, offering reduced patient trauma and enhanced precision. However, challenges persist, including the loss of tactile feedback for surgeons. This study explores the application of machine learning algorithms, specifically variational autoencoders, in vibro-acoustic (VA) signal analysis to address this issue. Our comparative analysis evaluates the potential of supervised learning in surgical data analysis, contributing to advancements in surgical technology. Despite achieving an accuracy of 81%, our results indicate opportunities for further refinement, considering the superior accuracies reported in previous studies. This research underscores the importance of innovative approaches in medical data analysis for optimizing patient care in minimally invasive surgery. [ABSTRACT FROM AUTHOR]

This case study documents the case of a 27-year-old female who presented with a complaint of left anterolateral thigh numbness, initially diagnosed as meralgia paresthetica with a differential diagnosis of lumbar radiculopathy. Over a span of two weeks, the patient endured emotional trauma and subsequently developed lesions in the area of complaint. The patient was diagnosed at a medical clinic with herpes zoster and was prescribed anti-viral medication which resulted in complete resolution. This case highlights the importance of considering herpes zoster as a differential diagnosis for nerve-related symptoms. Features of lumbar radiculopathy, meralgia paresthetica, varicella zoster and herpes zoster are discussed, as well as the defining characteristics and treatment options. Practitioners must remain vigilant in suspicion of viral infections such as herpes zoster even with lower incidence due to approved vaccines. [ABSTRACT FROM AUTHOR]

Radial artery spasm (RAS) is a common complication associated with transradial access (TRA) for coronary interventions, particularly affecting elderly patients in whom radial access is preferred due to its benefits in reducing bleeding complications, improving clinical outcomes, and lowering long-term costs. This review examines the incidence, prevention, and treatment of RAS. Methods included an online search of PubMed and other databases in early 2024, analyzing meta-analyses, reviews, studies, and case reports. RAS is characterized by a sudden narrowing of the radial artery due to psychological and mechanical factors with incidence reports varying up to 51.3%. Key risk factors include patient characteristics like female sex, age, and small body size as well as procedural factors such as emergency procedures and the use of multiple catheters. Preventive measures include using distal radial access, hydrophilic sheaths, and appropriate catheter sizes. Treatments involve the intraarterial administration of nitroglycerine and verapamil as well as mechanical methods like balloon-assisted tracking. This review underscores the need for standardizing RAS definitions and emphasizes the importance of operator experience and patient management in reducing RAS incidence and improving procedural success. [ABSTRACT FROM AUTHOR]

Amyloidosis is defined as a rare group of 30 protein-folding diseases characterized by the extracellular deposition of a specific soluble precursor protein that aggregates in the form of insoluble fibrils. The gastrointestinal tract (GI) is a common site for amyloid deposits: Among patients with systemic amyloidosis, at least 70% present with gastrointestinal deposition. Rarely, the deposition is exclusively localized in this area, leading to various gastrointestinal symptoms (bleeding, weight loss, etc.). In this case report, we present a rare and unusual form of localized gastrointestinal amyloidosis, diagnosed after a post-mortem examination of an 83-year-old woman who died due to septic shock resulting from post-colonoscopy iatrogenic perforation of the sigma, in a suspected medical liability case. Morphological examination revealed AL amyloid deposits within the muscular wall of the submucosal vessels of the rectum, which caused increased friability of the vessels and ischemic changes in the intestinal mucosa. A renal cell carcinoma (RCC) was found, which might be related to amyloid deposits, as reported by the literature. Amyloid deposits are an unknown and unpredictable pathological substrate that increase the risk of iatrogenic perforation. Analysis of the medical documentation did not reveal any censurable conduct in terms of prescribing the procedure, technical execution, or subsequent management of the patient following the perforation. GI amyloidosis should be part of the risk stratification of patients with rectal bleeding and gastrointestinal symptoms, and awareness is essential to guide subsequent diagnostic and therapeutic approaches and investigate underlying causes. [ABSTRACT FROM AUTHOR]

Background: An increasing number of clinical trials for new therapeutic strategies are underway or being considered for dystrophinopathy. Having detailed data on the natural progression of this condition is crucial for assessing the effectiveness of new drugs. However, there's a lack of data regarding the long-term data on the natural course and how it's managed in China. In this study, we offer a comprehensive overview of clinical and molecular findings, as well as treatment outcomes in the Chinese population. Methods: Institutional data on all patients with dystrophinopathy from August 2011 to August 2021 were retrospectively reviewed. The data included geographic distribution, age at diagnosis, molecular findings, and treatment options, such as corticosteroids, cardiac interventions, and clinical outcomes. Results: In total, 2097 patients with dystrophinopathy, including 1703 cases of Duchenne muscular dystrophy (DMD), 311 cases of Becker muscular dystrophy (BMD), 46 cases of intermediate muscular dystrophy (IMD), and 37 cases categorized as "pending" (individuals with an undetermined phenotype), were registered in the Children's Hospital of Fudan University database for dystrophinopathy from August 2011 to August 2021. The spectrum of identified variants included exonic deletions (66.6%), exonic duplications (10.7%), nonsense variants (10.3%), splice-site variants (4.5%), small deletions (3.5%), small insertions/duplications (1.8%), and missense variants (0.9%). Four deep intronic variants and two inversion variants were identified. Regarding treatment, glucocorticoids were administered to 54.4% of DMD patients and 39.1% of IMD patients. The median age at loss of ambulation was 2.5 years later in DMD patients who received glucocorticoid treatment. Overall, one cardiac medicine at least was prescribed to 7.4% of DMD patients, 8.3% of IMD patients, and 2.6% of BMD patients. Additionally, ventilator support was required by four DMD patients. Eligibility for exon skipping therapy was found in 55.3% of DMD patients, with 12.9%, 10%, and 9.6% of these patients being eligible for skipping exons 51, 53, and 45, respectively. Conclusions: This is one of the largest studies to have evaluated the natural history of dystrophinopathy in China, which is particularly conducive to the recruitment of eligible patients for clinical trials and the provision of real-world data to support drug development. [ABSTRACT FROM AUTHOR]

Recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) is a challenging disease, requiring personalized management by a multidisciplinary team. The aim of this retrospective multicentric study was to characterize real-world healthcare resource use and patient care for R/M HNSCC in Portugal during the first year after diagnosis. A total of 377 patients ineligible for curative treatment were included, mostly male (92.8%), aged 50–69 years (74.5%), with heavy alcohol (72.7%) or smoking habits (89.3%). Oropharynx (33.2%) and oral cavity (28.7%) were primary tumor locations, with lung metastases being the most common (61.4%). Eligible patients for systemic treatment with palliative intent (80.6%) received up to four treatment lines, with varied regimens. Platinum-based combination chemotherapy dominated first-line treatment (>70%), while single-agent chemotherapy and anti-PD1 immunotherapy were prevalent in later lines. Treatment approaches were uniform across disease stages and primary tumor locations but varied geographically. Treated patients received more multidisciplinary support than those who were ineligible. This study provides the first Portuguese real-world description of R/M HNSCC patient characteristics, treatment patterns, and supportive care during the year after diagnosis, highlighting population heterogeneity and aiming to improve patient management. [ABSTRACT FROM AUTHOR]

Abstract Objective Epilepsy requires continuous medical attention from multiple healthcare specialists, specialized facilities, and community‐based care. In Spain, there is no standardized approach to epilepsy care. The aim of this study was to identify the factors impacting on the delivery of high‐quality care by exploring key steps and barriers along the patient journey through the Spanish National Healthcare System (NHS). Methods A qualitative study was conducted using opinions and experiences of neurologists, nurses, patients, and caregivers shared in discussion meetings. Using thematic content analyses, relevant aim‐focused statements were coded according to prespecified issues in a discussion map (i.e., key steps and barriers), and sub‐coded according to emerging issues. Thematic saturation and co‐occurrence of key steps/barriers were evaluated to identify the most relevant factors impacting on the delivery of high‐quality care. Results Sixty‐five stakeholders took part in discussion meetings (36 neurologists, 10 nurses, 10 patients, and nine caregivers). Six key steps on the patient journey were identified: emergency care, diagnosis, drug therapy, follow‐up, referral, and interventional treatment. Of these, follow‐up was the most relevant step impacting on the delivery of high‐quality patient care, followed by drug therapy and diagnosis. Emergency care was considered a hot‐spot step with impact throughout the patient journey. Communication (among HCPs and between HCPs and patients) was a barrier to the delivery of high‐quality care at several stages of the patient journey, including drug therapy, follow‐up, referral, and interventional treatment. Resource availability was a barrier for diagnosis (especially for confirmation), drug therapy (drug availability), and referral (lack of professionals and specialized centers, and long waiting lists). Significance This is the first study capturing perspectives of four key stakeholders involved in epilepsy care in Spain. We provide an overview of the patient journey through the Spanish NHS and highlight opportunities to improve the delivery of patient‐centered care with a chronicity perspective. Plain Language Summary Patients with epilepsy may require prolonged medical care. In Spain, care is provided by a range of specialist and non‐specialist centers. In this study, a team of Spanish neurologists, nurses, patients and caregivers identified barriers that affect the delivery of high‐quality care for patients with epilepsy at each stage of their journey through the Spanish NHS. Specific epilepsy training for healthcare providers, appropriate resources for diagnosing and treating patients, and good communication between healthcare workers and patients were identified as important factors in providing high‐quality care for patients with epilepsy.

Aim of the study: The emergence of the COVID-19 pandemic has catalyzed a paradigm shift in emergency dental care, prompting a reassessment of traditional approaches and the adoption of innovative strategies to address evolving challenges. Introduction: This comprehensive study explores the multifaceted landscape of emergency dental care amidst the COVID-19 pandemic, delving into the integration of tele-dentistry, advancements in point-of-care testing, optimization of aerosol-reducing techniques, enhancements in personal protective equipment (PPE), and the pivotal role of public health preparedness and education. Materials and Methods: Through a meticulous review of existing literature and analysis of pertinent studies, this study elucidates the transformative impact of these innovations on emergency dental care provision. Results: Tele-dentistry has emerged as a valuable tool for remote assessment, initial guidance, and triaging of cases, while advancements in point-of-care testing facilitate rapid and accurate diagnosis of COVID-19 infection in dental settings. Moreover, optimization of aerosol-reducing techniques and advancements in PPE design contribute to minimizing viral transmission risks during emergency procedures. Furthermore, this study underscores the importance of robust public health preparedness and education in fostering a proactive approach to dental emergencies and instilling confidence in patients to seek timely care. Collaborative efforts among dental professionals, researchers, and public health authorities are essential in navigating the complexities of the COVID-19 pandemic and fortifying preparedness for future crises. Conclusion: This study advocates for the continued integration of innovative solutions and adaptive strategies in emergency dental care, guided by a commitment to patient safety, evidence-based practices, and interdisciplinary collaboration. By embracing these advancements, the dental community can navigate the challenges posed by the COVID-19 pandemic and emerge stronger, more resilient, and better equipped to ensure the oral health and well-being of individuals for generations to come.

Abstract Background An increasing number of clinical trials for new therapeutic strategies are underway or being considered for dystrophinopathy. Having detailed data on the natural progression of this condition is crucial for assessing the effectiveness of new drugs. However, there’s a lack of data regarding the long-term data on the natural course and how it’s managed in China. In this study, we offer a comprehensive overview of clinical and molecular findings, as well as treatment outcomes in the Chinese population. Methods Institutional data on all patients with dystrophinopathy from August 2011 to August 2021 were retrospectively reviewed. The data included geographic distribution, age at diagnosis, molecular findings, and treatment options, such as corticosteroids, cardiac interventions, and clinical outcomes. Results In total, 2097 patients with dystrophinopathy, including 1703 cases of Duchenne muscular dystrophy (DMD), 311 cases of Becker muscular dystrophy (BMD), 46 cases of intermediate muscular dystrophy (IMD), and 37 cases categorized as “pending” (individuals with an undetermined phenotype), were registered in the Children’s Hospital of Fudan University database for dystrophinopathy from August 2011 to August 2021. The spectrum of identified variants included exonic deletions (66.6%), exonic duplications (10.7%), nonsense variants (10.3%), splice-site variants (4.5%), small deletions (3.5%), small insertions/duplications (1.8%), and missense variants (0.9%). Four deep intronic variants and two inversion variants were identified. Regarding treatment, glucocorticoids were administered to 54.4% of DMD patients and 39.1% of IMD patients. The median age at loss of ambulation was 2.5 years later in DMD patients who received glucocorticoid treatment. Overall, one cardiac medicine at least was prescribed to 7.4% of DMD patients, 8.3% of IMD patients, and 2.6% of BMD patients. Additionally, ventilator support was required by four DMD patients. Eligibility for exon skipping therapy was found in 55.3% of DMD patients, with 12.9%, 10%, and 9.6% of these patients being eligible for skipping exons 51, 53, and 45, respectively. Conclusions This is one of the largest studies to have evaluated the natural history of dystrophinopathy in China, which is particularly conducive to the recruitment of eligible patients for clinical trials and the provision of real-world data to support drug development.

Recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC) is a challenging disease, requiring personalized management by a multidisciplinary team. The aim of this retrospective multicentric study was to characterize real-world healthcare resource use and patient care for R/M HNSCC in Portugal during the first year after diagnosis. A total of 377 patients ineligible for curative treatment were included, mostly male (92.8%), aged 50–69 years (74.5%), with heavy alcohol (72.7%) or smoking habits (89.3%). Oropharynx (33.2%) and oral cavity (28.7%) were primary tumor locations, with lung metastases being the most common (61.4%). Eligible patients for systemic treatment with palliative intent (80.6%) received up to four treatment lines, with varied regimens. Platinum-based combination chemotherapy dominated first-line treatment (>70%), while single-agent chemotherapy and anti-PD1 immunotherapy were prevalent in later lines. Treatment approaches were uniform across disease stages and primary tumor locations but varied geographically. Treated patients received more multidisciplinary support than those who were ineligible. This study provides the first Portuguese real-world description of R/M HNSCC patient characteristics, treatment patterns, and supportive care during the year after diagnosis, highlighting population heterogeneity and aiming to improve patient management.

Abstract Objective This study aimed to analyze the factors influencing glycemic control in patients with type 2 diabetes mellitus (T2DM). Methods Baseline data, encompassing basic information, lifestyle habits, and treatment of 305 T2DM patients from March 2021 to January 2023, were collected and analyzed using SPSS 26.0 software. Results Univariate and multivariate logistic regression analyses identified insulin therapy (OR = 2.233; 95%Cl = 1.013–4.520; P = 0.026) and regular clinic visits (OR = 0.567; 95%Cl = 0.330–0.973; P = 0.040) as independent factors influencing glycemic control. No observed interactions between the two variables were noted. Conclusion History of insulin therapy and regular clinic visits were significantly and independently associated with glycated hemoglobin control in T2DM patients. Tailored interventions based on individual circumstances are recommended to optimize glycemic control.

Aim of the study: The emergence of the COVID-19 pandemic has catalyzed a paradigm shift in emergency dental care, prompting a reassessment of traditional approaches and the adoption of innovative strategies to address evolving challenges. Introduction: This comprehensive study explores the multifaceted landscape of emergency dental care amidst the COVID-19 pandemic, delving into the integration of tele-dentistry, advancements in point-of-care testing, optimization of aerosol-reducing techniques, enhancements in personal protective equipment (PPE), and the pivotal role of public health preparedness and education. Materials and Methods: Through a meticulous review of existing literature and analysis of pertinent studies, this study elucidates the transformative impact of these innovations on emergency dental care provision. Results: Tele-dentistry has emerged as a valuable tool for remote assessment, initial guidance, and triaging of cases, while advancements in point-of-care testing facilitate rapid and accurate diagnosis of COVID-19 infection in dental settings. Moreover, optimization of aerosol-reducing techniques and advancements in PPE design contribute to minimizing viral transmission risks during emergency procedures. Furthermore, this study underscores the importance of robust public health preparedness and education in fostering a proactive approach to dental emergencies and instilling confidence in patients to seek timely care. Collaborative efforts among dental professionals, researchers, and public health authorities are essential in navigating the complexities of the COVID-19 pandemic and fortifying preparedness for future crises. Conclusion: This study advocates for the continued integration of innovative solutions and adaptive strategies in emergency dental care, guided by a commitment to patient safety, evidence-based practices, and interdisciplinary collaboration. By embracing these advancements, the dental community can navigate the challenges posed by the COVID-19 pandemic and emerge stronger, more resilient, and better equipped to ensure the oral health and well-being of individuals for generations to come. [ABSTRACT FROM AUTHOR]

Aim: This study aims to perform a comprehensive bibliometric analysis of academic publications on AI applications in vascular surgery, identifying key authors, influential journals, prevalent research themes, and international collaborations, focusing on infrastructure, conceptual structure, and social networks within the field. Material and Methods: The analysis covers 815 documents published from 2020 to 2024, retrieved from the Web of Science Core Collection database. Metrics analyzed include publication growth, citation rates, key contributors, leading journals, prevalent themes, and international collaborations. Results: The research output showed a 15% annual growth rate, peaking in 2023. Despite increasing publications, the average citation rate per article declined. The study identified 5039 contributors with significant international co-authorship. Leading authors included Lareyre F and Raffort J, and the "Journal of Vascular Surgery" was the most influential journal. The USA and China led in contributions, reflecting robust research infrastructure. Key themes include risk assessment, diagnostic methods, and patient management, highlighting AI's role in enhancing diagnostic accuracy, treatment planning, and patient outcomes in vascular surgery. Conclusion: The analysis highlights the rapid growth and collaborative nature of AI research in vascular surgery. Key contributors, influential journals, and emerging themes were identified, emphasizing AI's role in improving diagnostics and patient outcomes. Limitations include the focus on one database and a five-year period, suggesting future research should include more databases and a longer timeframe. Exploring high-impact studies and practical applications will further advance the field. [ABSTRACT FROM AUTHOR]

Introduction and aim. Malignant soft tissue tumors exhibiting similar histological and immunohistochemical characteristics to Ewing sarcoma of the bones are referred to as extra-skeletal Ewing sarcoma within the pathology research domain. These tumors fall under the broader classification of Ewing sarcoma family of tumors, which encompasses Ewing sarcoma of the bones, extra-skeletal Ewing sarcoma, and primitive neuroectodermal tumor, the latter demonstrating a more pronounced neural differentiation compared to Ewing sarcoma of the bone. Extra-skeletal Ewing sarcoma stands out as a rare, aggressive, and rapidly growing malignant soft tissue tumor characterized by a notable recurrence rate and a predilection for occurrence in males. The roots of recognizing extra-skeletal Ewing sarcoma trace back to 1975 when Angervall and Enzinger reported the inaugural case. This study aims to underscore the significance of recognizing diverse clinical presentations for precise diagnosis and effective patient care of Extra-skeletal Ewing sarcoma in an elderly patient. Case description. In the context of our pathology research, a noteworthy case involves a 57-year-old female presenting with a mass in the left iliac fossa. The diagnosis, established through a comprehensive approach involving Imaging, histopathological examination, immunohistochemistry, and molecular studies such as fluorescence in situ hybridization, confirms the nature of the tumor as extra-skeletal Ewing sarcoma. This case adds to the understanding and documentation of this distinct variant through a multi-modal investigative process. Conclusion. This case report contributes to the existing literature by shedding light on an atypical presentation of extra-skeletal Ewing sarcoma in an older patient. Understanding the varied clinical manifestations and incorporating advanced diagnostic techniques, such as fluorescence in situ hybridization and immunohistochemistry, is pivotal for accurate diagnosis and optimal patient management. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to analyze the factors influencing glycemic control in patients with type 2 diabetes mellitus (T2DM). Methods: Baseline data, encompassing basic information, lifestyle habits, and treatment of 305 T2DM patients from March 2021 to January 2023, were collected and analyzed using SPSS 26.0 software. Results: Univariate and multivariate logistic regression analyses identified insulin therapy (OR = 2.233; 95%Cl = 1.013–4.520; P = 0.026) and regular clinic visits (OR = 0.567; 95%Cl = 0.330–0.973; P = 0.040) as independent factors influencing glycemic control. No observed interactions between the two variables were noted. Conclusion: History of insulin therapy and regular clinic visits were significantly and independently associated with glycated hemoglobin control in T2DM patients. Tailored interventions based on individual circumstances are recommended to optimize glycemic control. [ABSTRACT FROM AUTHOR]

Background: Rare diseases, predominantly caused by genetic factors and often presenting neurological manifestations, are significantly underrepresented in research. This review addresses the urgent need for advanced research in rare neurological diseases (RNDs), which suffer from a data scarcity and diagnostic challenges. Bridging the gap in RND research is the integration of machine learning (ML) and omics technologies, offering potential insights into the genetic and molecular complexities of these conditions. Methods: We employed a structured search strategy, using a combination of machine learning and omics-related keywords, alongside the names and synonyms of 1840 RNDs as identified by Orphanet. Our inclusion criteria were limited to English language articles that utilized specific ML algorithms in the analysis of omics data related to RNDs. We excluded reviews and animal studies, focusing solely on studies with the clear application of ML in omics data to ensure the relevance and specificity of our research corpus. Results: The structured search revealed the growing use of machine learning algorithms for the discovery of biomarkers and diagnosis of rare neurological diseases (RNDs), with a primary focus on genomics and radiomics because genetic factors and imaging techniques play a crucial role in determining the severity of these diseases. With AI, we can improve diagnosis and mutation detection and develop personalized treatment plans. There are, however, several challenges, including small sample sizes, data heterogeneity, model interpretability, and the need for external validation studies. Conclusions: The sparse knowledge of valid biomarkers, disease pathogenesis, and treatments for rare diseases presents a significant challenge for RND research. The integration of omics and machine learning technologies, coupled with collaboration among stakeholders, is essential to develop personalized treatment plans and improve patient outcomes in this critical medical domain. [ABSTRACT FROM AUTHOR]

Background: cardiovascular diseases, including acute myocardial infarction (AMI) and takotsubo cardiomyopathy (TTC), are significant causes of morbidity and mortality worldwide. Timely differentiation of these conditions is essential for effective patient management and improved outcomes. Methods: We conducted a review focusing on studies that applied artificial intelligence (AI) techniques to differentiate between acute myocardial infarction (AMI) and takotsubo cardiomyopathy (TTC). Inclusion criteria comprised studies utilizing various AI modalities, such as deep learning, ensemble methods, or other machine learning techniques, for discrimination between AMI and TTC. Additionally, studies employing imaging techniques, including echocardiography, cardiac magnetic resonance imaging, and coronary angiography, for cardiac disease diagnosis were considered. Publications included were limited to those available in peer-reviewed journals. Exclusion criteria were applied to studies not relevant to the discrimination between AMI and TTC, lacking detailed methodology or results pertinent to the AI application in cardiac disease diagnosis, not utilizing AI modalities or relying solely on invasive techniques for differentiation between AMI and TTC, and non-English publications. Results: The strengths and limitations of AI-based approaches are critically evaluated, including factors affecting performance, such as reliability and generalizability. The review delves into challenges associated with model interpretability, ethical implications, patient perspectives, and inconsistent image quality due to manual dependency, highlighting the need for further research. Conclusions: This review article highlights the promising advantages of AI technologies in distinguishing AMI from TTC, enabling early diagnosis and personalized treatments. However, extensive validation and real-world implementation are necessary before integrating AI tools into routine clinical practice. It is vital to emphasize that while AI can efficiently assist, it cannot entirely replace physicians. Collaborative efforts among clinicians, researchers, and AI experts are essential to unlock the potential of these transformative technologies fully. [ABSTRACT FROM AUTHOR]

Background: Acute coronary syndrome (ACS) is a severe cardiovascular disease with globally rising incidence and mortality rates. Traditional risk assessment tools are widely used but are limited due to the complexity of the data. Methods: This study introduces a gated Transformer model utilizing machine learning to analyze electronic health records (EHRs) for an enhanced prediction of major adverse cardiovascular events (MACEs) in ACS patients. The model's efficacy was evaluated using metrics such as area under the curve (AUC), precision–recall (PR), and F1-scores. Additionally, a patient management platform was developed to facilitate personalized treatment strategies. Results: Incorporating a gating mechanism substantially improved the Transformer model's performance, especially in identifying true-positive cases. The TabTransformer+Gate model demonstrated an AUC of 0.836, a 14% increase in average precision (AP), and a 6.2% enhancement in accuracy, significantly outperforming other deep learning approaches. The patient management platform enabled healthcare professionals to effectively assess patient risks and tailor treatments, improving patient outcomes and quality of life. Conclusion: The integration of a gating mechanism within the Transformer model markedly increases the accuracy of MACE risk predictions in ACS patients, optimizes personalized treatment, and presents a novel approach for advancing clinical practice and research. [ABSTRACT FROM AUTHOR]

Gastric cancer (GC) is one of the most common types of cancer and is associated with relatively low survival rates. Despite its considerable burden, there is limited guidance for Canadian clinicians on the management of unresectable metastatic GC and gastroesophageal junction cancer (GEJC). Therefore, we aimed to discuss best practices and provide expert recommendations for patient management within the current Canadian unresectable GC and GEJC landscape. A multidisciplinary group of Canadian healthcare practitioners was assembled to develop expert recommendations via a working group. The often-rapid progression of unresectable GC and GEJC and the associated malnutrition have a significant impact on the patient's quality of life and ability to tolerate treatment. Hence, recommendations include early diagnosis, identification of relevant biomarkers to improve personalized treatment, and relevant support to manage comorbidities. A multidisciplinary approach including early access to registered dietitians, personal support networks, and palliative care services, is needed to optimize possible outcomes for patients. Where possible, patients with unresectable GC and GEJC would benefit from access to clinical trials and innovative treatments. [ABSTRACT FROM AUTHOR]

Gastric cancer (GC) is one of the most common types of cancer and is associated with relatively low survival rates. Despite its considerable burden, there is limited guidance for Canadian clinicians on the management of unresectable metastatic GC and gastroesophageal junction cancer (GEJC). Therefore, we aimed to discuss best practices and provide expert recommendations for patient management within the current Canadian unresectable GC and GEJC landscape. A multidisciplinary group of Canadian healthcare practitioners was assembled to develop expert recommendations via a working group. The often-rapid progression of unresectable GC and GEJC and the associated malnutrition have a significant impact on the patient’s quality of life and ability to tolerate treatment. Hence, recommendations include early diagnosis, identification of relevant biomarkers to improve personalized treatment, and relevant support to manage comorbidities. A multidisciplinary approach including early access to registered dietitians, personal support networks, and palliative care services, is needed to optimize possible outcomes for patients. Where possible, patients with unresectable GC and GEJC would benefit from access to clinical trials and innovative treatments.

Introduction: There are concerns with rising rates of antimicrobial resistance (AMR) across countries with appreciable impact on morbidity, mortality and costs. Amongst low- and middle-income countries, a key driver of AMR is the excessive use of antibiotics in ambulatory care, with a critical area being the appreciable selling of antibiotics without a prescription often driven by patient demand and limited knowledge. There is currently conflicting evidence in South Africa regarding this practice. Consequently, there is a need to explore these critical issues amongst patients, especially in more rural areas of South Africa. A pilot study was undertaken to address this. Methods: A two-step descriptive approach was undertaken. This involved two questionnaires amongst patients exiting chain and independent community pharmacies followed by cognitive interviews. Results: Overall, 21 patients were approached for an interview, including 11 for Part 1 of the questionnaire with 3 declining, and 10 for Part 2, with 2 declining. Subsequently 8 patients completed each part of the questionnaire.. On average, it took 2 min 13 s to complete both parts. 3 of the 5 patients being dispensed an antibiotic were dispensed one without a prescription, with all 3 patients exiting from independent pharmacies. Key reasons for self-purchasing included money and convenience. There was mixed knowledge regarding antibiotics and AMR amongst the 8 patients interviewed with Part 2. Overall, there was a satisfactory understanding of the Part 1 questions, although some modifications were suggested. Some participants had difficulty with fully understanding the questions in Part 2, with a number of suggestions made to improve this for the main study. Conclusion: There were concerns with the extent of purchasing antibiotics without a prescription in this pilot study as well as the knowledge of patients regarding antibiotics and AMR. Both areas need addressing and will be explored further in the main study. [ABSTRACT FROM AUTHOR]

Objective: Breast cancer clinical stage and nodal status are the most clinically significant drivers of patient management, in combination with other pathological biomarkers, such as estrogen receptor (ER), progesterone receptor or human epidermal growth factor receptor 2 (HER2) receptor status and tumor grade. Accurate prediction of such parameters can help avoid unnecessary intervention, including unnecessary surgery. The objective was to investigate the role of magnetic resonance imaging (MRI) radiomics for yielding virtual prognostic biomarkers (ER, HER2 expression, tumor grade, molecular subtype, and T-stage). Materials and Methods: Patients with primary invasive breast cancer who underwent dynamic contrast-enhanced (DCE) breast MRI between July 2013 and July 2016 in a single center were retrospectively reviewed. Age, N-stage, grade, ER and HER2 status, and Ki-67 (%) were recorded. DCE images were segmented and Haralick texture features were extracted. The Bootstrap Lasso feature selection method was used to select a small subset of optimal texture features. Classification of the performance of the final model was assessed with the area under the receiver operating characteristic curve (AUC). Results: Median age of patients (n = 209) was 49 (21-79) years. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of the model for differentiating N0 vs N1-N3 was: 71%, 79%, 76%, 74%, 75% [AUC = 0.78 (95% confidence interval (CI) 0.72-0.85)], N0-N1 vs N2-N3 was 81%, 59%, 24%, 95%, 62% [AUC = 0.74 (95% CI 0.63-0.85)], distinguishing HER2(+) from HER2(-) was 79%, 48%, 34%, 87%, 56% [AUC = 0.64 (95% CI 0.54-0.73)], high nuclear grade (grade 2-3) vs low grade (grades 1) was 56%, 88%, 96%, 29%, 61% [AUC = 0.71 (95% CI 0.63-0.80)]; and for ER (+) vs ER(-) status the [AUC=0.67 (95% CI 0.59-0.76)]. Radiomics performance in distinguishing triple-negative vs other molecular subtypes was [0.60 (95% CI 0.49-0.71)], and Luminal A [0.66 (95% CI 0.56-0.76)]. Conclusion: Quantitative radiomics using MRI contrast texture shows promise in identifying aggressive high grade, node positive triple negative breast cancer, and correlated well with higher nuclear grades, higher T-stages, and N-positive stages. [ABSTRACT FROM AUTHOR]

Introduction: Clinical manifestations of cranial nerve palsies are of great importance, and surgeons should consider them before planning surgical protocol. Materials and Methods: This retrospective study was conducted on preoperative hospital records of 598 Iranian patients with different types of extraocular muscle palsy, including third (90 patients), fourth (501 patients), and fifth (7 patients) nerve palsy at Farabi Hospital, Tehran Province, Iran. Results: In terms of fourth nerve palsy, the mean spherical equivalent (SE) in the right and left eye was 0.23±1.51 and 0.19±1.45 diopter, respectively. Also, the mean angle of vertical deviation was 15.54±8.85 Δ at near and 15.66±8.93 Δ at far. In patients with third nerve palsy, the mean SE in the right and left eye was -0.02±2.08 and 0.08±1.95 diopter, respectively. Also, the mean angle of vertical deviation was 17.8±17.4 Δ at near and 17.8±17.5 Δ at far. In terms of six nerve palsy, the mean SE in the right and left eye was -1.27±3.37 and -1.08±2.52 diopter, respectively. Also, the mean angle of esotropia was 32.4±7.7 Δ at near and 33±6.7 Δ at far. The frequency of amblyopia in patients with third, fourth, and sixth nerve palsies was 21 patients (23.3%), 70(14%), and 4(57.1%), respectively. Conclusion: The clinical characteristics of patients with different types of EOM palsy are remarkably different, which can be attributed to the different properties of these kinds of deviations. [ABSTRACT FROM AUTHOR]

Introduction: COVID-19 which is an infectious disease caused by the SARS-CoV-2 virus hurts patients' respiratory health by necessitating oxygen therapy. The affected patients with COVID-19 experience anxiety and stress with quality of life (QoL) impacted due to frequent medication, hospitalizations, fear of dying, and isolation. In individuals with respiratory problems, physiotherapy is useful in improving oxygenation, stress reduction, and QoL. Therefore, our goal was to assess how physiotherapy management affected the oxygenation rates and QoL of hospitalized COVID-19 patients. Materials and Methods: The study included 60 hospitalized cases of COVID-19 pneumonia (25-65 years) admitted to the RCU/Al-Hussein teaching hospital. The oxygenation rate was recorded by hospital monitoring. A physiotherapy management prepared according to the pulmonary rehabilitation recommendations for COVID-19 patients. QoL was assessed by the Arabian version of the short-form health survey questionnaire (SF-36) at baseline, at discharge, and 1 month after discharge. Results: The mean baseline oxygenation percent was 86.10±12.93. The baseline QoL score was 29.14±18.52. A significant increase (P<0.0001) in oxygenation (by 10.22%) was observed at discharge as compared to the baseline values. The QoL was significantly higher (P<0.0001) at 1-month post-discharge as compared to the baseline and the values at discharge (by 157.76%). Similar effects were observed in males and females. Conclusion: A short-term course of physiotherapy management was effective in increasing the oxygenation rates and QoL in hospitalized male and female COVID-19 patients. A combination of breathing exercises, early mobilization, and positioning can act as an adjuvant in the clinical management of COVID-19 patients. [ABSTRACT FROM AUTHOR]

Erosive oral lichen planus (EOLP) represents a significant challenge in dental and medical management due to its chronic inflammatory nature, painful symptoms, and impact on quality of life. This study aims to evaluate the current diagnostic approach with novel non-invasive techniques, such as dermoscopy, and also the landscape of treatment options for EOLP, focusing on its efficacy, safety, and the challenges that it present in clinical practice. Through a comprehensive literature review, we explored the use of topical corticosteroids, systemic immunosuppressants, biologics, and Janus kinase (JAK) inhibitors in treating EOLP, alongside examining patient compliance, psychological impacts, and the risk of adverse effects and recurrence. Our findings reveal that while topical corticosteroids are the cornerstone of EOLP treatment, offering symptomatic relief, their long-term use is limited by side effects and tolerance development. Systemic therapies and biologics provide alternatives for refractory cases but necessitate careful adverse effect monitoring. JAK inhibitors show promise as an innovative treatment avenue but require more evidence on long-term safety and efficacy. This study highlights the necessity of personalized treatment approaches due to the variable disease course and response to treatment, underscoring the importance of a multidisciplinary strategy in managing EOLP. The complexity of EOLP treatment, compounded by its psychological and quality of life impacts, demands ongoing research into targeted therapies, the establishment of standardized treatment protocols, and the development of effective outcome measures to improve patient care and treatment outcomes. [ABSTRACT FROM AUTHOR]

Local and regional anesthesia are commonly employed methods in eye surgery, there are situations in which general anesthesia becomes necessary. Some patients may decline local or regional anesthesia, be unable to maintain a steady position, or lie flat during the procedure. This is particularly pertinent for pediatric patients and individuals with allergies to local anesthetics, who may require general anesthesia. In all cases, meticulous patient preparation is paramount in eye surgery. A thorough evaluation is essential before administering anesthesia, with the choice of anesthesia method dependent on factors such as the patient's overall health, the specific surgical procedure, and the surgeon's expertise. In this review, necessary anesthesia methods in ophthalmic surgeries and perioperative patient management will be discussed. [ABSTRACT FROM AUTHOR]

Background: Total hip arthroplasty (THA) is a procedure that removes damaged bone and cartilage and replaces it with prosthetic components and is performed by orthopedics. Objective: management of post-operative rehabilitation of THA patients in terms of content and completion criteria of physiotherapy sessions. The research aims to explore the experience of Romanian physiotherapists about the content and completion criteria of physiotherapy sessions involved in the management of postoperative rehabilitation after THA. Methods: The method used in this study was a questionnaire-based survey, with 120 Romanian specialists in the field completing an online screening tool that contained, along with a socio-demographic questionnaire, a series of questions about their professional experience. Results: One of the most important results of the study is the identification of statistically significant associations between the completion criteria of physiotherapy sessions and three techniques included in the rehabilitation program after THA: edema management, gait re-education exercises, and exercises to increase hip mobility. Conclusion: The the research revealed that the experience of Romanian specialists regarding postoperative rehabilitation after THA is concordant with the experience of specialists in the field, and can be used to develop and test an individualized therapeutic protocol and to design continuing professional training programs for physiotherapists in Romania. [ABSTRACT FROM AUTHOR]

Critical care injuries, such as burn trauma, require specialized skillsets and knowledge. A clinical decision support system to aid clinicians in providing burn patient management can increase proficiency and provide knowledge content for specific interventions. In austere environments, decision support tools can be used to aid in decision making and task guidance when skilled personnel or resources are limited. Therefore, we developed a novel software system that utilizes augmented reality (AR) capabilities to provide enhanced step-by-step instructions based on best practices for managing burn patients. To better understand how new technologies, such as AR, can be used for burn care management, we developed a burn care application for use on a heads-up display. We developed four sub-set applications for documenting and conducting burn wound mapping, fluid resuscitation, medication calculations, and an escharotomy. After development, we conducted a usability study utilizing the System Usability Scale, pre- and post- simulation surveys, and after-action reviews to evaluate the AR-based software application in a simulation scenario. Results of the study indicate that the decision support tool has generalized usability and subjects were able to use the software as intended. Here we present the first use case of a comprehensive burn management system utilizing augmented reality capabilities to deliver care. [ABSTRACT FROM AUTHOR]

Pasireotide is a somatostatin analogue for the treatment of acromegaly, a chronic condition caused by excess growth hormone. Despite the therapeutic benefits of pasireotide as a second-line treatment for inadequately controlled acromegaly, a major concern is its hyperglycemic side-effect. Here, we provide guidance on how to select appropriate patients with acromegaly for treatment with pasireotide. We summarize baseline characteristics of patients at high risk for pasireotide-associated hyperglycemia and recommend a monitoring strategy based on the risk profile. Self-monitoring of blood glucose levels (SMBG), measurements of fasting plasma glucose (FPG), postprandial plasma glucose (PPG) and regular HbA1c measurements are the foundation of our proposed monitoring approach. The pathophysiology of pasireotide-induced hyperglycemia involves decreased secretion of the incretin hormones GIP (glucose-dependent insulinotropic polypeptide) and GLP-1 (glucagon-like peptide-1). Our expert recommendations address the specific pathophysiology of pasireotide-induced hyperglycemia by recommending the incretin-based therapeutics dipeptidyl peptidase-4 inhibitors (DPP-4i) and glucagon-like peptide-1 receptor agonists (GLP-1 RA) in all appropriate patients as an alternative to first-line monotherapy with metformin. Furthermore, we emphasize the importance of adequate control of acromegaly, excellent diabetes education, nutrition and lifestyle guidance and advise to consult expert diabetologists in case of uncertainty in the management of patients with hyperglycemia under pasireotide. [ABSTRACT FROM AUTHOR]

Simple Summary: [18F]FDG-PET/CT is a new imaging modality used in routine practice for many tumor diseases. The combination of morphological and metabolic information has demonstrated superiority over pure morphological imaging, significantly impacting treatment decisions and patient outcomes in many tumor entities. However, the role of [18F]FDG-PET/CT in differentiated thyroid carcinoma remains unclear. While potential benefits are acknowledged, there is a lack of clear recommendations and guidelines on when to use this imaging technique. Our study aims to evaluate the influence of FDG-PET/CT on decision making in clinical routines. The impact on clinical decision making was evaluated through questionnaires given to referring physicians before and after PET/CT examinations. The results demonstrate a significant influence of [18F]FDG-PET/CT on patient management in our cohort, leading to the avoidance of both additional invasive and imaging diagnostics. Therefore, our study suggests that the (clinically indicated) use of PET/CT in differentiated thyroid carcinoma could result in better therapy management and ultimately lead to improved patient outcomes. Purpose: To investigate the impact of [18F]FDG-PET/CT on the management of differentiated thyroid carcinoma (DTC) in routine clinical settings. Material and methods: In total, 98 patients (55 females, age 56 ± 18 years) with histologically confirmed thyroid cancer, including all types of DTC and poorly differentiated thyroid cancer (PDTC, n = 7), underwent [18F]FDG-PET/CT for staging or recurrence diagnostics performed using a state-of-the art clinical scanner (Biograph mCT, Siemens Healthineers) with a standardized examination protocol. The impact of PET/CT on clinical decision making was prospectively evaluated using standardized questionnaires completed by the referring physicians before and after PET/CT. Patient outcome was analyzed for OS drawn from patient records. Results: Referring physicians were unable to establish a treatment plan for 81% of patients with thyroid cancer in the absence of PET/CT. The use of PET/CT had a notable influence on patient management, leading to the development of a well-defined treatment plan for 92% of patients. Moreover, after PET/CT a change in pre-PET/CT-intended treatments occurred in 32% of cases, and further invasive diagnostic could be waived in 7% of cases. [18F]FDG-PET/CT revealed a tumor detection rate of 68% (local tumor: 19%, lymph node metastases: 40%, distant metastases: 42%). HTg levels, when stimulated via TSH, were considerably higher in patients with metastases detected on PET/CT, compared to those without metastatic findings (p = 0.02). OS was significantly worse in patients with PDTC (p = 0.002) compared to follicular thyroid cancer (FTC) and PTC or even in patients with distant metastases at first diagnosis (p = 0.03). Conclusions: This prospective registry study confirms that [18F]FDG-PET/CT used in a routine clinical setting has a very important impact on the management of patients with thyroid cancer by initiating treatments and reducing the uses of additional imaging and invasive tests. [ABSTRACT FROM AUTHOR]

Purpose: Systemic amyloidosis represents a yet poorly characterized complex and multifaceted rare multisystem disease with high mortality. Clinical presentation, clinical course, and treatment vary within and across subtypes. Established biomarkers are predominantly non-specific. Diagnosis and management of these patients require specifically tailored interdisciplinary structures. Well-characterized patient cohorts are needed to optimize diagnostic tools and treatment options. Method: The prospective cohort study AmyKoS was established as a monocentric observational study for patients with suspected and proven systemic and localized amyloidosis at the Interdisciplinary Amyloidosis Centre of Northern Bavaria in 2018. We here describe the study rationale and design based on the underlying clinical structures. The primary aim is to establish a large in-detail characterized patient population with appropriate biomaterial resources. The primary endpoint is overall survival; secondary endpoints are disease-associated complications, prevalence and incidence of ICD-10-coded psychological disorders and characterization of organ involvement and response. Results/conclusions: AmyKoS serves as an umbrella structure for clinical and translational research. It differs at least partly from other amyloidosis cohort studies by its cross-subtype approach and is unique regarding the inclusion of patients under suspicion regardless of confirmation of amyloidosis. Therefore, AmyKoS simultaneously generates a negative control group for the evaluation of diagnostic markers and methods and allows to test their generalizability to all subtypes. As a special feature, the multi-step AMY-NEEDS substudy systematically evaluates the established structures with the aim of improving patient-orientated care and the interfaces with referring physicians. The characteristics of the AmyKoS cohort are congruent with the findings of large clinical trials. [ABSTRACT FROM AUTHOR]

Despite all the advancements in science, medical knowledge, healthcare, and the healthcare industry, cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide. The main reasons are the inadequacy of preventive health services and delays in diagnosis due to the increasing population, the failure of physicians to apply guide-based treatments, the lack of continuous patient follow-up, and the low compliance of patients with doctors' recommendations. Artificial intelligence (AI)-based clinical decision support systems (CDSSs) are systems that support complex decision-making processes by using AI techniques such as data analysis, foresight, and optimization. Artificial intelligence-based CDSSs play an important role in patient care by providing more accurate and personalized information to healthcare professionals in risk assessment, diagnosis, treatment optimization, and monitoring and early warning of CVD. These are just some examples, and the use of AI for CVD decision support systems is rapidly evolving. However, for these systems to be fully reliable and effective, they need to be trained with accurate data and carefully evaluated by medical professionals. [ABSTRACT FROM AUTHOR]

Tuberculosis is a severe and life-threatening illness that affects numerous individuals worldwide every day. The key objective of this study was to create a system that could enhance the monitoring and management of tuberculosis patients. To achieve this goal, the Mobile D methodology was utilized because of its effectiveness in project management. This methodology emphasizes test-driven development, continuous integration, and optimization to enhance software processes. The outcome of this research was a prototype of a mobile application specifically designed for individuals with tuberculosis. Professionals and people affected by the disease assessed the quality of the prototype. They evaluated its effectiveness, user-friendliness, design, and functionality and gave ratings of 4.77 and 4.69 on a Likert scale, respectively. These figures indicate that the prototype meets high-quality criteria. In conclusion, this research successfully created an efficient prototype that enhances the monitoring and control of tuberculosis patients. The prototype includes features such as real-time consultations for immediate interaction between physicians and patients, clinical history visualization, and medication reminders, all of which improve the user’s experience. [ABSTRACT FROM AUTHOR]

The Pulmonary Arterial Hypertension-Quality Enhancement Research Initiative Extension Program was designed to support physicians' adherence to pulmonary arterial hypertension (PAH) guidelines. Guidelines were followed in >95% of patients with functional class (FC) II/III, but for only 28.6% of FC IV patients (Month 36). Low adherence was driven by FC IV patients' preference to avoid parenteral treatment.

Patients with multimorbidity have increased and more complex healthcare needs, posing their management a challenge for healthcare systems. This study aimed to describe their primary healthcare utilization and associated factors. A population-based cross-sectional study was conducted in a Spanish basic healthcare area including all patients with chronic conditions, differentiating between having multimorbidity or not. Sociodemographic, functional, clinical and service utilization variables were analyzed, stratifying the multimorbid population by the Adjusted Morbidity Groups (AMG) risk level, sex and age. A total of 6036 patients had multimorbidity, 64.2% being low risk, 28.5% medium risk and 7.3% high risk. Their mean age was 64.1 years and 63.5% were women, having on average 3.5 chronic diseases, and 25.3% were polymedicated. Their mean primary care contacts/year was 14.9 (7.8 with family doctors and 4.4 with nurses). Factors associated with primary care utilization were age (B-coefficient [BC] = 1.15;95% Confidence Interval [CI] = 0.30–2.01), female sex (BC = 1.04; CI = 0.30–1.78), having a caregiver (BC = 8.70; CI = 6.72–10.69), complexity (B-coefficient = 0.46; CI = 0.38–0.55), high-risk (B-coefficient = 2.29; CI = 1.26–3.32), numerous chronic diseases (B-coefficient = 1.20; CI = 0.37–2.04) and polypharmacy (B-coefficient = 5.05; CI = 4.00–6.10). This study provides valuable data on the application of AMG in multimorbid patients, revealing their healthcare utilization and the need for a patient-centered approach by primary care professionals. These results could guide in improving coordination among professionals, optimizing multimorbidity management and reducing costs derived from their extensive healthcare utilization. [ABSTRACT FROM AUTHOR]

Aortic regurgitation (AR) is the third most frequently encountered valve lesion and may be caused by abnormalities of the valve cusps or the aorta. Echocardiography is instrumental in the assessment of AR as it enables the delineation of valvular morphology, the mechanism of the lesion and the grading of severity. Severe AR has a major impact on the myocardium and carries a significant risk of morbidity and mortality if left untreated. Established and novel echocardiographic methods, such as global longitudinal strain and three-dimensional echocardiography, allow an estimation of this risk and provide invaluable information for patient management and prognosis. This narrative review summarises the epidemiology of AR, reviews current practices and recommendations with regards to the echocardiographic assessment of AR and outlines novel echocardiographic tools that may prove beneficial in patient assessment and management. [ABSTRACT FROM AUTHOR]

Introduction: Diabetes is prevalent in 10% of the population worldwide. 2.5% of diabetic patients develop diabetic foot ulcers every year. Negative dressing therapy, foam dressing and conventional dressing are common modalities for managing diabetic foot. The purpose of this study was to compare the outcomes of regular dressing vs. negative dressing in diabetic foot patients. Materials and Methods: This study was conducted with 100 patients between the age of 10 and 85 years as per the inclusion and exclusion criteria. Fifty patients underwent regular dressing, and 50 patients underwent negative dressings. Results: In 82% of patients, complete coverage of the wound occurs by negative dressing, and 52% of patients reported that complete coverage of the wound occurs by regular dressing after 4 weeks. Major post-operative complications were significantly less in patients treated with negative dressing. Conclusion: Negative dressing outperforms conventional dressing regarding wound covering, post-operative complications and cost-effectiveness in diabetic diet therapy. [ABSTRACT FROM AUTHOR]

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The treatable traits approach represents a strategy for patient management. It is based on the identification of characteristics susceptible to treatments or predictive of treatment response in each individual patient. With the objective of accelerating progress in research and clinical practice relating to such a treatable traits approach, the Portraits event was convened in Barcelona, Spain, in November 2022. Here, while reporting the key concepts that emerged from the discussions during the meeting, we review the current state of the art related to treatable traits and chronic respiratory diseases management, and we describe the possible actions that clinicians can take in clinical practice to implement the treatable traits framework. Furthermore, we explore the new concept of GETomics and the new models of research in the field of COPD. [ABSTRACT FROM AUTHOR]

Background: Spondyloarthritis (SpA) is a group of related but phenotypically distinct inflammatory disorders that include axial SpA (axSpA) and psoriatic arthritis (PsA). Information on the characteristics and management of these patients in the real world remains scarce. Objectives: To explore the characteristics and management [disease activity assessment and treatment with secukinumab (SEC) or other biologic disease-modifying antirheumatic drugs (bDMARDs)] of axSpA and PsA patients using natural language processing (NLP) in Electronic Health Records (EHRs). Design: National, multicenter, observational, and retrospective study. Methods: We analyzed free-text and structured clinical information from EHR at three hospitals. All adult patients with axSpA, PsA or non-classified SpA from 2018 to 2021 with minimum follow-up of three months were included when starting SEC or other bDMARDs. Clinical variables were extracted using EHRead ® technology based on Systemized Nomenclature of Medicine-Clinical Terms (SNOMED CT) terminology. Results: Out of 887,735 patients, 758 were included, of which 328 had axSpA [58.5% male; mean (SD) age of 50.7 (12.7) years], 365 PsA [54.8% female, 53.9 (12.4) years], and 65 non-classified SpA. Mean (SD) time since diagnosis was 36.8 (61.0) and 24.1 (35.2) months for axSpA and PsA, respectively. Only 116 axSpA patients (35.3%) had available Ankylosing Spondylitis Disease Activity Score (ASDAS) or Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) at bDMARD onset, of which 61 presented active disease. Disease Activity in PSoriatic Arthritis (DAPSA) or Disease Assessment Score - 28 joints (DAS-28) values at bDMARD onset were available for only 61 PsA (16.7%) patients, with 23 of them having active disease. The number of patients with available tender joint count or swollen joint count assessment was 68 (20.7%) and 59 (18%) for axSpA, and 115 (31.5%) and 119 (32.6%) for PsA, respectively. SEC was used in 63 (19.2%) axSpA patients and in 63 (17.3%) PsA patients. Conclusion: Using NLP, the study showed that around one-third of axSpA and one-sixth of PsA patients have disease activity assessments with ASDAS/BASDAI or DAPSA/DAS-28, respectively, highlighting an area of improvement in these patients' management. Plain language summary: Investigating axial spondyloarthritis and psoriatic arthritis patients using natural language processing We conducted a study in Spain to better understand patients with specific rheumatic conditions known as axial spondyloarthritis (axSpA) and psoriatic arthritis (PsA). To analyze their characteristics, we used a computer technology called EHRead, which uses Natural Language Processing (NLP) to analyze free text from electronic health records. Out of a large group of patients, we focused on 758 individuals who had axSpA or PsA. Most of the axSpA patients were men, and they were around 51 years old on average. For the PsA patients, most were women, and their average age was about 54 years. We analyzed outcomes and treatments of these patients. Our findings showed that we can describe and assess a cohort of patients from real world using NLP. Besides, only about one-third of axSpA patients and one-sixth of PsA patients had their respective outcomes completely assessed, which indicates that there is potential room for improvement in the management of axSpA and PsA. The most promising feature in our study is the use of NLP, an artificial intelligence technology that helps us understand information in medical records written in free text. This can help us explore the characteristics of patients and their management in the real world, bringing an opportunity to enhance the care of patients with axSpA and PsA. [ABSTRACT FROM AUTHOR]

Background: Neurosarcoidosis is a rare manifestation of sarcoidosis with heterogeneous presentations. Patient management is challenging due to the current lack of knowledge about the long-term disease course. Objective: To identify specific disease courses of neurosarcoidosis according to the clinical and paraclinical presentations at onset. Methods: We conducted an observational multicenter cohort study by retrospectively collecting data from the medical records of 84 patients diagnosed with definite, probable, or possible neurosarcoidosis in three tertiary referral centers in France (Nancy, Strasbourg, and Bordeaux). We collected demographic characteristics, clinical and paraclinical data at the beginning of patient management, and during follow-up under the different treatment lines. Two expert neurologists determined disease course profiles. Results: The mean follow-up was 6.6 years. Almost every patient (96.4%) received steroids at some point of their follow-up. Tumor Necrosis Factor-alpha blockers were given in 10.7% as first-line treatment and in 33.3% during follow-up. Every patient presented with a relapsing disease, often monophasic (75%) and sometimes polyphasic with the recurrence of identical manifestations (11.9%). Patients developing new neurological symptoms during follow-up were a minority (13.1%). No patients exhibited a progressive course. Patients with isolated cranial nerves injury or aseptic meningitis always exhibited a monophasic course, and 62.5–75% of them had a full recovery after first-line treatments. This proportion was 15.6% in other forms of the disease. Those with peripheral presentations were more likely to present a polyphasic course than patients with other forms of neurosarcoidosis. Spinal cord presentations were monophasic, but resulted in sequelae and exhibited poor response to first-line treatments despite frequent use of TNF-alpha blockers. Conclusion: Identification of these disease course profiles, based on the initial clinical and paraclinical presentation, could guide the clinician to select the optimal therapeutic approach and follow-up modalities for their patients with neurosarcoidosis. [ABSTRACT FROM AUTHOR]

Most children with asthma respond well to low-dose inhaled corticosteroids, sometimes with the addition of a long-acting β-2 agonist. Failure to respond is usually because either the diagnosis is wrong or they are not taking their treatment. If the diagnosis truly is asthma and the child is not responding, then, instead of prescribing ever more and higher doses of medications, a complete review to determine what it is about the child and their asthma which is making treatment response suboptimal should be undertaken. The factors to be considered in such a review include adherence, adverse environmental factors and psychosocial influences, and relevant co-morbidities such as obesity and exercise-induced laryngeal obstruction. Such a review means that most children referred for the consideration of biological therapy can in fact be managed with standard treatment approaches. Adherence may be improved by simplifying the regime - for example, the single inhaler for reliever and treatment approach or a once-daily treatment combined with directly observed therapies. In the rare cases of children with true therapy-resistant asthma, a range of expensive injectable biologicals may help, but the need for these is the exception. Sadly, the most common cause of non-responsive asthma globally remains that the medications are either inaccessible or too expensive. [ABSTRACT FROM AUTHOR]

Introduction: The objective of this study was to investigate the willingness of patients with tuberculosis (TB) to use mobile medical services (mHealth) and its influencing factors, so as to provide theoretical guidance for optimizing the TB mobile medical platform and improve the willingness of patients to use mHealth. Methodology: In this cross-sectional study, convenience sampling method was used to investigate patients with TB from the outpatient clinics of two TB specialized hospitals (Beijing Thoracic Tumor and Tuberculosis Hospital and Tuberculosis Prevention and Treatment Hospital of Shaanxi Province) from January to June 2021 using a self-designed questionnaire. Results: Out of 231 patients, only 90 (38.96%) were aware of mHealth services, and 63 (27.27%) had used mHealth services. Among the 63 patients who had used mHealth services, the proportion of mobile medical forms based on WeChat platform was 74.89%. Patients' willingness to use mHealth was scored (11.49 ± 2.53). Univariate analysis showed that the scores of patients' willingness to use mHealth differed by gender and the different ways of affording healthcare (p < 0.05). Regression analysis showed that the influencing factors of willingness to use mHealth in patients with TB included attitude towards use (0.750), health beliefs (0.091) and social impact (0.169) (adjusted R2 = 0.781, p < 0.001). Conclusions: Patients' awareness of the advantages of the new medical model needs to be improved. Optimized design can improve the willingness of patients to use mHealth services and improve the role of mHealth in patient management. [ABSTRACT FROM AUTHOR]

Objectives: To describe current stay-at-work practices among Danish general practitioners (GPs) in relation to patients with musculoskeletal disorders, to identify potential avenues for improvement, and to suggest a training program for the GPs. Design and Setting: We followed the principles of Intervention Mapping. Data were collected by means of literature searches, focus group interviews with GPs, and interaction with stakeholder representatives from the Danish labour market. Results: GPs' current stay-at-work practices were influenced by systemic, organisational, and legislative factors, and by personal determinants, including knowledge and skills relating to stay-at-work principles and musculoskeletal disorders, recognition of the patient's risk of long-term work disability, their role as a GP, and expectations of interactions with other stay-at-work stakeholders. GPs described themselves as important partners and responsible for the diagnostic and holistic assessments of the patient but placed themselves on the side line relying on the patient or workplace stakeholders to act. Their practices are influenced both by patients, employers, and by other stakeholders. We propose a training course for GPs that incorporate both concrete tools and behaviour change techniques. Conclusions: We have identified varied perspectives on the roles and responsibilities of GPs, as well as legislative and organisational barriers, and proposed a training program. Not all barriers identified can be addressed by a training course, and some questions are left unanswered, among others - who are best suited to help patients staying at work? [ABSTRACT FROM AUTHOR]

Objective: We verified the usefulness of patient management using a balloon-pressurized belt (Stanch Belt Plus) to prevent puncture site hematomas, which can occur at a specific rate even with hemostatic devices after endovascular neurosurgery. Methods: A total of 113 patients who underwent endovascular surgery with a femoral puncture from April 2019 to September 2020 were divided into two groups: 31 cases using a traditional compression belt and 82 cases using a newly introduced balloon-pressurized belt during this period. The clinical data were analyzed retrospectively. The chi-square test and Mann-Whitney U test were used to test for significant differences. Results: There were no significant differences in treatment procedures or frequency of hemostatic device use, but the balloon-pressurized belt group had a significantly lower incidence of hematomas (2.4% vs 12.9%, p <0.05) and a significantly lower incidence of moderate or higher lumbago (22.0% vs 41.9%, p <0.05). The incidence of epidermal detachment tended to be low; however, no significant difference was observed (3.7% vs. 12.9%, n.s.). Conclusion: Patient management with the newly introduced balloon-pressurized belt may decrease the occurrence of groin hematoma and lumbago among complications after endovascular neurosurgery. [ABSTRACT FROM AUTHOR]

Severe electrolyte disturbances occur in traumatic rhabdomyolysis (crush syndrome) developing after disasters such as earthquakes. The purpose of this study is to examine the long-term course of these electrolyte abnormalities. Patients followed up in intensive care for at least 10 days due to post-earthquake crush syndrome were included in the study. Their demographic data and sodium, potassium, calcium, and phosphorus levels over the course of 10 days were retrieved retrospectively and recorded. Fifteen out of 23 patients with crush syndrome were enrolled in the study. The dominant electrolyte abnormalities in the first three days of hospitalization were normonatremia, hyperpotassemia, hypocalcemia, and hyperphosphatemia. No change in normonatremia was observed at the end of the 10th day, but hyperpotassemia gave way to normo- and hypokalemia, and hyperphosphatemia to normophosphatemia. Although hypocalcemia was less prevalent and not as deep as in the first five days, it was still the dominant calcium disorder at the end of the 10th day. Crush syndrome can be linked to severe electrolyte abnormalities. These electrolytes may be hypo or hyper in form at the onset of crush syndrome but can reverse in the opposite direction, or an existing abnormality may become more profound during follow-up. Knowing the direction assumed by electrolyte abnormalities, and on which days, will therefore be more beneficial for patient management. [ABSTRACT FROM AUTHOR]

The Naples prognostic score (NPS) predicts patient survival in gastroesophageal cancer using parameters related to nutritional and inflammatory status. These parameters include risk factors for coronary endothelial dysfunction except for low total cholesterol. Therefore, we modified the score (mNPS) to include high cholesterol, a risk factor for coronary endothelial dysfunction. We aimed to evaluate the relationship between mNPS and the angiographic epicardial coronary slow flow phenomenon (CSFP). This retrospective study included 301 patients with coronary slow flow who underwent coronary angiography between 2018 and 2022. The mNPS parameters were calculated and the population was divided into three groups based on the calculated parameters. Angiographic findings were classified in the left anterior descending (LAD), circumflex (Cx), right coronary (RCA) arteries, and three coronary arteries together. Statistical analyses were performed to identify mNPS as predictors of a slow flow phenomenon. Participants were divided into mNPS Group 1 (n=63), mNPS Group 2 (n=201), and mNPS Group 3 (n=37). No significant differences were observed in age, gender, or medications among the mNPS groups. The RCA had a statistically significant association with mNPS groups for slow flow phenomenon (p=0.006). Considering all three coronary arteries, the association with mNPS groups was also significant (p=0.005). White blood cell and lymphocyte counts showed significant differences. Compared with group 1, group 3 had 4.11 times more coronary artery slow flow. Our study suggests that the mNPS, integrating nutritional and inflammatory parameters along with high cholesterol, holds promise as a potential predictor for the coronary slow flow phenomenon. This could impact risk stratification and clinical management in this patient group. [ABSTRACT FROM AUTHOR]