98%
921
2 minutes
20
Background: Population-level knowledge on individuals at high risk of severe and fatal coronavirus disease 2019 (COVID-19) is urgently needed to inform targeted protection strategies in the general population.
Methods: We examined characteristics and predictors of hospitalization and death in a nationwide cohort of all Danish individuals tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from 27 February 2020 until 19 May 2020.
Results: We identified 11 122 SARS-CoV-2 polymerase chain reaction-positive cases of whom 80% were community-managed and 20% were hospitalized. Thirty-day all-cause mortality was 5.2%. Age was strongly associated with fatal disease {odds ratio [OR] 15 [95% confidence interval (CI): 9-26] for 70-79 years, increasing to OR 90 (95% CI: 50-162) for ≥90 years, when compared with cases aged 50-59 years and adjusted for sex and number of co-morbidities}. Similarly, the number of co-morbidities was associated with fatal disease [OR 5.2 (95% CI: 3.4-8.0), for cases with at least four co-morbidities vs no co-morbidities] and 79% of fatal cases had at least two co-morbidities. Most major chronic diseases were associated with hospitalization, with ORs ranging from 1.3-1.4 (e.g. stroke, ischaemic heart disease) to 2.6-3.4 (e.g. heart failure, hospital-diagnosed kidney disease, organ transplantation) and with mortality with ORs ranging from 1.1-1.3 (e.g. ischaemic heart disease, hypertension) to 2.5-3.2 (e.g. major psychiatric disorder, organ transplantation). In the absence of co-morbidities, mortality was <5% in persons aged ≤80 years.
Conclusions: In this nationwide population-based COVID-19 study, increasing age and multimorbidity were strongly associated with hospitalization and death. In the absence of co-morbidities, the mortality was, however, <5% until the age of 80 years.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499657 | PMC |
http://dx.doi.org/10.1093/ije/dyaa140 | DOI Listing |
Community Ment Health J
September 2025
The University of Queensland, Herston, Australia.
Engaging residents with the support available at community-based residential mental health rehabilitation facilities is an ongoing challenge for health services. This study explored factors associated with residential rehabilitation engagement across Queensland, Australia through regression modelling of cross-sectional data from a statewide benchmarking activity completed in 2023 (n = 208). The Residential Rehabilitation Engagement Scale (RRES) assessed each resident's rehabilitation engagement.
View Article and Find Full Text PDFEur Radiol Exp
September 2025
Department of Radio-diagnosis, Faculty of Human Medicine, Zagazig University, Zagazig, Egypt.
Background: Bone marrow (BM) lesion differentiation remains challenging, and quantitative magnetic resonance imaging (MRI) may enhance accuracy over conventional methods. We evaluated the diagnostic value and inter-reader reliability of Dixon-based signal drop (%drop) and fat fraction percentage (%fat) as adjuncts to existing protocols.
Materials And Methods: In this prospective two-center study, 172 patients with BM signal abnormalities underwent standardized 1.
Ann Surg Oncol
September 2025
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Background: Postoperative late recurrence (POLAR) after 2 years from the date of surgical resection of hepatocellular carcinoma (HCC) represents a unique surveillance and management challenge. Despite identified risk factors, individualized prediction tools to guide personalized surveillance strategies for recurrence remain scarce. The current study sought to develop a predictive model for late recurrence among patients undergoing HCC resection.
View Article and Find Full Text PDFJ Physician Assist Educ
September 2025
Rachel Ditoro, EdD, MSPAS, PA-C, is a professor, program director of Salus at Drexel University PA Program, at Drexel University, Elkins Park, Pennsylvania.
Introduction: Physician assistant programs use summative evaluations to assess near graduates, with many using the PA Education Association (PAEA) End of Curriculum (EOC) exam to assess the medical knowledge component. Accurate identification of those students at risk of low Physician Assistant National Certifying Examination (PANCE) performance is imperative. The purpose of this study was to evaluate the relationship between the outcomes of the PAEA EOC exam and the PANCE.
View Article and Find Full Text PDFClin Nurs Res
September 2025
Xuzhou Medical University, Jiangsu Province, China.
This study aimed to develop and validate a machine learning-based predictive model for assessing the risk of fear of childbirth in pregnant women during late pregnancy. A cross-sectional observational study was conducted from November 2022 to July 2023, involving 406 pregnant women. Six machine learning algorithms, including Lasso-assisted logistic regression (LR), random forest (RF), eXtreme Gradient Boosting (XGB), support vector machine (SVM), Bayesian network (BN), and k-nearest neighbors (KNN), were used to construct the models with 10-fold cross-validation.
View Article and Find Full Text PDF