AI Article Synopsis
- The authors suggest a new method to evaluate patients recovering from strokes, focusing on their clinical signs.
- This methodology uses a total score system to quantify the severity and relevance of various symptoms.
- By considering the relative importance of different clinical signs, the assessment aims to provide a thorough status report for these patients.
Article Abstract
The authors propose the methodology of the comprehensive assessment of the status of patients with cerebral stroke consequences which is based on the total score evaluation of the most informative clinical signs with due regard to their relative significance.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective.
J Med Internet Res
January 2025
Department High-Tech Business and Entrepreneurship Section, Industrial Engineering and Business Information Systems, University of Twente, Enschede, Overijssel, Netherlands.
Health recommender systems (HRS) have the capability to improve human-centered care and prevention by personalizing content, such as health interventions or health information. HRS, an emerging and developing field, can play a unique role in the digital health field as they can offer relevant recommendations, not only based on what users themselves prefer and may be receptive to, but also using data about wider spheres of influence over human behavior, including peers, families, communities, and societies. We identify and discuss how HRS could play a unique role in decreasing health inequities.
View Article and Find Full Text PDFRisk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study.
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
Long-Term Treatment With Ocrelizumab in Patients With Early-Stage Relapsing MS: Nine-Year Data From the OPERA Studies Open-Label Extension.
Neurology
February 2025
Department of Neurology and Center of Clinical Neuroscience, First Medical Faculty, General University Hospital and Charles University, Prague, Czech Republic.
Background And Objectives: Patients with multiple sclerosis (MS) may demonstrate better disease control when treatment is initiated on high-efficacy disease-modifying therapies (DMTs) from onset. This subgroup analysis assessed the long-term efficacy and safety profile of the high-efficacy DMT ocrelizumab (OCR) as first-line therapy for early-stage relapsing MS (RMS).
Methods: Post hoc exploratory analyses of efficacy and safety were performed in a subgroup of treatment-naive patients with RMS who received ≥1 dose of OCR in the multicenter OPERA I/II (NCT01247324/NCT01412333) studies.
Outcomes of Home Isolation Care Among COVID-19 Patients During the 2021 Epidemic Crisis in the Bangkok Metropolitan Region, Thailand.
Am J Public Health
January 2025
Teeraboon Lertwanichwattana and Ram Rangsin are with Phramongkutklao College of Medicine, Bangkok, Thailand. Supattra Srivanichakorn, Sairat Noknoy, and Sirinapa Siriporn Na Ratchaseema are with the Royal College of Family Physicians of Thailand, Bangkok. Nittaya Phanuphak is with the Institute of HIV Research and Innovation, Bangkok. Kitti Wongthavarawat is with the National Science and Technology Development Agency, Bangkok. Arunotai Siriussawakul, Varalak Srinonprasert, and Pattara Leelahavarong are with the Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok. Parawee Chevaisrakul and Putthapoom Lumjiaktase are with the Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok. Aree Kumpitak is with the Thai Network of People Living With HIV, Bangkok. Nopphan Phromsri is with the Human Settlement Foundation, Bangkok. Yupadee Sirisinsuk is with the Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok. Pongtorn Kietdumrongwong is with the Bangkok Dusit Medical Services, Bangkok. Apinun Aramrattana is with the Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
To determine the overall mortality and risk factors of COVID-19 patients who were admitted to the Home Isolation (HI) program in Bangkok, Thailand, during the epidemic crisis in 2021. We conducted a retrospective cohort study using the data from a government telehealth application from July to December 2021. The vital status was verified from the government database on September 20, 2022.
View Article and Find Full Text PDFSurvival and Its Predictors Among Patients Receiving Transarterial Chemoembolization for Hepatocellular Carcinoma in Ethiopia: A 6-Year Follow-Up Study.
JCO Glob Oncol
January 2025
Department of Public Health, Myungsung Medical College, Addis Ababa, Ethiopia.
Purpose: To analyze survival and its predictors among patients with hepatocellular carcinoma (HCC) receiving transarterial chemoembolization (TACE) in Ethiopia.
Materials And Methods: We conducted a retrospective cohort study among patients who received TACE for HCC at MCM Hospital from December 1, 2016, to December 31, 2022. Data were extracted from patients' medical records, and vital status was ascertained from the patients' charts or by phone call to the next of kin.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!