The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Risk factors for post–intensive care syndrome: A systematic review and meta-analysis
Abstract
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.
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Cites
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Stang, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9491-z · Cited by 17,396
Devlin, J. W., Skrobik, Y., Gélinas, C., Needham, D. M., Slooter, A. J. C., Pandharipande, P. P., Watson, P. L., Weinhouse, G. L., Nunnally, M. E., Rochwerg, B., et al. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003299 · Cited by 3,956
Barr, J., Fraser, G. L., Puntillo, K., Ely, E. W., Gélinas, C., Dasta, J. F., Davidson, J. E., Devlin, J. W., Kress, J. P., Joffe, A. M., et al. (2013) · Critical Care Medicine · doi:10.1097/ccm.0b013e3182783b72 · Cited by 3,765
Long-term cognitive impairment after critical illness
Pandharipande, P. P., Girard, T. D., Jackson, J. C., Morandi, A., Thompson, J. L., Pun, B. T., Brummel, N. E., Hughes, C. G., Vasilevskis, E. E., Shintani, A. K., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1301372 · Cited by 2,842
Needham, D. M., Davidson, J., Cohen, H., Hopkins, R. O., Weinert, C., Wunsch, H., Zawistowski, C., Bemis-Dougherty, A., Berney, S. C., Bienvenu, O. J., et al. (2012) · Critical Care Medicine · doi:10.1097/ccm.0b013e318232da75 · Cited by 2,639
Research Synthesis and Meta-Analysis: A Step-by-Step Approach
Cooper, H. (2017) · doi:10.4135/9781071878644 · Cited by 1,716
Herzog, R., Álvarez-Pasquin, M. J., Díaz, C., Del Barrio, J. L., Estrada, J. M., & Gil, Á. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-154 · Cited by 1,652
Empirical assessment of effect of publication bias on meta-analyses
Sutton, A. J. (2000) · BMJ · doi:10.1136/bmj.320.7249.1574 · Cited by 1,398
Cited by
Vlake, J. H., Van Bommel, J., Wils, E.-J., Korevaar, T. I. M., Bienvenu, O. J., Klijn, E., Gommers, D., & van Genderen, M. E. (2021) · Critical Care Explorations · doi:10.1097/cce.0000000000000538 · Cited by 41
Metadata
- Authors
- Lee, M., Kang, J., & Jeong, Y. J.
- Venue
- Australian Critical Care
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 33
- Issue
- 3
- Pages
- 287-294
- ISSN
- 1033-3355 (ISSN-L)
- 1036-7314
- OpenAlex
- W2995399708
- Cited by
- 303
- References
- 48
- FWCI
- 3.90
- Type
- journal article
- Language
- en
- Open access
- closed
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