Objective: The objective of this study was to identify the risk factors for each area of post-intensive care syndrome (PICS) and to determine their effect size.
Review Method Used: This study used systematic review and meta-analysis.
Data Sources: PubMed, CINAHL, EMBASE, PsycINFO, and Cochrane Library were searched.
Review Methods: Eighty-nine studies were selected for the review based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PICS areas and risk factors reported in the individual studies were reviewed and categorised. We used the Newcastle-Ottawa Scale to evaluate the quality of studies. The effect size of each risk factor was calculated as odds ratio (OR).
Results: There were 33 mental health studies, 15 cognitive impairment studies, 32 physical impairment studies, eight studies on two areas, and one study on all three areas. Sixty risk factors were identified, including 33 personal and 27 intensive care unit (ICU)-related factors. Significant risk factors for mental health included female sex (odds ratio [OR] = 3.37, 95% confidence interval [CI]: 1.12-10.17), previous mental health problems (OR = 9.45, 95% CI: 2.08-42.90), and negative ICU experience (OR = 2.59, 95% CI: 2.04-3.28). The only significant risk factor for cognitive impairment was delirium (OR = 2.85, 95% CI: 1.10-7.38). Significant risk factors for physical impairment included older age (OR = 2.19, 95% CI: 1.11-4.33), female sex (OR = 1.96, 95% CI: 1.32-2.91), and high disease severity (OR = 2.54, 95% CI: 1.76-3.66).
Conclusions: Although PICS is a multidimensional concept, each area has been studied separately. Significant risk factors for PICS included older age, female sex, previous mental health problems, disease severity, negative ICU experience, and delirium. To prevent PICS, the multidisciplinary team should pay attention to modifiable risk factors such as delirium and patients' ICU experience.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.aucc.2019.10.004 | DOI Listing |
Health Place
January 2025
Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, Vancouver, V6T 1Z4, Canada. Electronic address:
The engagement of senior citizens with urban nature has been shown to provide multiple health benefits and mitigate health issues associated with demographic aging. This review utilized the PRISMA methodology to systematically analyze the relationship between monitoring tools, seniors' behaviors in urban nature, and influencing factors. The main findings are as follows: (1) 4 main types, including self-reports, on-site observations, sensors, and third-party data, and 24 sub-types of measurement tools: ranging from questionnaires to crowdsourced imagery services.
View Article and Find Full Text PDFCompr Psychiatry
January 2025
Center for studies of Psychological Application, School of Psychology, South China Normal University, 510631 Guangzhou, China; School of Medicine, Indiana University, 46202 Indianapolis, USA. Electronic address:
Background: While previous cross-sectional studies have suggested a link between psychotic-like experiences (PLEs) and internet addiction (IA), longitudinal evidence remains scarce. This study aimed to explore the prospective relationship between IA and PLEs among college students.
Method: A total of 636 college students (80 % female) were assessed in November 2022 and again one year later.
Int J Epidemiol
December 2024
Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Retina
January 2025
Neuroradiology Department, CHRU Gui de Chauliac, F-34091 Montpellier, France.
Purpose: To investigate retinal microvascular changes in ischemic stroke patients using optical coherence tomography angiography (OCT-A) and assess these alterations based on stroke etiology.
Methods: Case-control study conducted at Montpellier University Hospital from May 2021 to March 2022 (IRB: 202000607). Retinal vascular features were compared between strokes patients and age- and sex- matched controls.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!