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Background: Myocardial injury after noncardiac surgery (MINS) is associated with poor prognosis. The effect of different occurrence time of MINS on long-term functional capacity remains unclear in population with high cardiovascular risk.
Patients And Methods: This cohort study included adult patients with increased cardiovascular risk undergoing elective major noncardiac surgery from June 2019 to September 2021. Patients with MINS were stratified in two groups on the basis of the occurrence time of MINS: within 24 hour (h) or after 24 h. The primary endpoint was disability at 180 days after surgery, evaluated by World Health Organization Disability Assessment Schedule 2.0. Disability was defined as ≥25% or an increase of 8%. Multivariable logistic regression was adopted to explore the association between occurrence time of MINS and primary endpoint. Propensity score weighting, including inverse probability weighting and overlap weighting, and subgroup analysis were used to explore the relationship further.
Results: 2469 participants were included, of which 178 (7.2%) participants developed MINS within 24 h and 83 (3.4%) after 24 h. A total of 378 (15.3%) participants developed disability at 180 days after surgery, with an unweighted odds ratio (OR) of 1.97 (95% confidence intervals [CIs]: 1.17-3.32) for patients who suffered MINS after 24 h and weighted OR of 2.25 (95%CIs: 1.10-4.63) and 2.11 (95%CIs: 1.23-3.63) by IPW and OW, respectively. Findings were conserved in the subgroup analysis.
Conclusion: MINS occurring after 24 h was associated with worsen long-term functional capacity after surgery, whereas MINS occurring within 24 h was not.
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http://dx.doi.org/10.1080/07853890.2025.2552936 | DOI Listing |
Epidemiol Psychiatr Sci
September 2025
Unit of Psychiatry, Department of Public Health and Medicinal Administration, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Taipa, MO, China.
Aims: Loneliness is a common public health concern, particularly among mid- to later-life adults. However, its impact on early mortality (deaths occurring before reaching the oldest old age of 85 years) remains underexplored. This study examined the predictive role of loneliness on early mortality across different age groups using data from the Health and Retirement Study (HRS).
View Article and Find Full Text PDFJ Helminthol
September 2025
Department of Zoology, Institute of Ecology and Earth Sciences, https://ror.org/03z77qz90University of Tartu, J. Liivi 2,50409Tartu, Estonia.
Zoonotic diseases caused by parasites of wildlife origin represent a global health problem. As a top mammalian predator, the brown bear () can spread various parasites, including those that are potentially hazardous to human health. However, data on brown bear parasite fauna in Europe, and especially its seasonal dynamics, are scarce.
View Article and Find Full Text PDFJ Anim Ecol
September 2025
Sorbonne Université, UPEC, Paris 7, CNRS, INRA, IRD, Institut d'Ecologie et des Sciences de l'Environnement de Paris, Paris, France.
Research Highlight: Bralet, T., Aaziz, R., Tornos, J.
View Article and Find Full Text PDFNurs Open
September 2025
Department of Nursing, Central Taiwan University of Science and Technology, Taichung City, Taiwan.
Aim: To explore nursing students' satisfaction levels of each specific item and perceptions under the unprecedented abrupt online clinical practicum during the COVID-19 pandemic.
Design: A mixed-method design comprises a questionnaire and qualitative content analysis.
Methods: The study used purposive sampling using data from nursing students in grade 3 of a 4-year bachelor RN programme at a technological university in the north of Taiwan, compiled from May 2021 to June 2021 using an online questionnaire.
Biom J
October 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Accelerated failure time (AFT) models offer an attractive alternative to Cox proportional hazards models. AFT models are collapsible and, unlike hazard ratios in proportional hazards models, the acceleration factor-a key effect measure in AFT models-is collapsible, meaning its value remains unchanged when adjusting for additional covariates. In addition, AFT models provide an intuitive interpretation directly on the survival time scale.
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