Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies
Abstract Objective Evidence of the overall estimated prevalence of post-intensive care cognitive impairment among critically ill survivors discharged from intensive care units at short-term and long-term follow-ups is lacking. This study aimed to estimate the prevalence of the post-intensive care co...
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2025-01-01
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| Series: | Annals of Intensive Care |
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| Online Access: | https://doi.org/10.1186/s13613-025-01429-z |
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| author | Mu-Hsing Ho Yi-Wei Lee Lizhen Wang |
| author_facet | Mu-Hsing Ho Yi-Wei Lee Lizhen Wang |
| author_sort | Mu-Hsing Ho |
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| description | Abstract Objective Evidence of the overall estimated prevalence of post-intensive care cognitive impairment among critically ill survivors discharged from intensive care units at short-term and long-term follow-ups is lacking. This study aimed to estimate the prevalence of the post-intensive care cognitive impairment at time to < 1 month, 1 to 3 month(s), 4 to 6 months, 7–12 months, and > 12 months discharged from intensive care units. Methods Electronic databases including PubMed, Cochrane Library, EMBASE, CINAHL Plus, Web of Science, and PsycINFO via ProQuest were searched from inception through July 2024. Studies that reported on cognitive impairment among patients discharged from intensive care units with valid measures were included. Data extraction and risk of bias assessment were performed independently for all included studies according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guidelines. Newcastle–Ottawa Scale was used to measure risk of bias. Data on cognitive impairment prevalence were pooled using a random-effects model. The primary outcome was pooled estimated proportions of prevalence of the post-intensive care cognitive impairment. Results In total, 58 studies involving 347,940 patients were included. The pooled post-intensive care cognitive impairment prevalence rates at the follow-up timepoints < 1 month, 1–3 month(s), 4–6 months, 7–12 months, > 12 months were 49.8% [95% Prediction Interval (PI), 39.9%–59.7%, n = 19], 45.1% (95% PI, 34.8%–55.5%, n = 23), 47.9% (95% PI, 35.9%–60.0%, n = 16), 28.3% (95% PI, 19.9%–37.6%, n = 19), and 30.4% (95% PI, 18.4%–43.9%, n = 7), respectively. Subgroup analysis showed that significant differences of the prevalence rates between continents and study designs were observed. Conclusions The prevalence rates of post-intensive care cognitive impairment differed at different follow-up timepoints. The rates were highest within the first three months of follow-up, with a pooled prevalence of 49.8% at less than one month, 45.1% at one to three months, and 47.9% at three to six months. No significant differences in prevalence rates between studies that only included coronavirus disease 2019 survivors. These fundings highlight the need for further research to develop targeted interventions to prevent or manage cognitive impairment at short-term and long-term follow-ups. |
| format | Article |
| id | doaj-art-89c8e3b1b30c4ffeb948aaac3e02ded5 |
| institution | Kabale University |
| issn | 2110-5820 |
| language | English |
| publishDate | 2025-01-01 |
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| series | Annals of Intensive Care |
| spelling | doaj-art-89c8e3b1b30c4ffeb948aaac3e02ded52025-01-12T12:39:39ZengSpringerOpenAnnals of Intensive Care2110-58202025-01-0115111510.1186/s13613-025-01429-zEstimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studiesMu-Hsing Ho0Yi-Wei Lee1Lizhen Wang2School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong KongSijhih Cathay General HospitalSchool of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong KongAbstract Objective Evidence of the overall estimated prevalence of post-intensive care cognitive impairment among critically ill survivors discharged from intensive care units at short-term and long-term follow-ups is lacking. This study aimed to estimate the prevalence of the post-intensive care cognitive impairment at time to < 1 month, 1 to 3 month(s), 4 to 6 months, 7–12 months, and > 12 months discharged from intensive care units. Methods Electronic databases including PubMed, Cochrane Library, EMBASE, CINAHL Plus, Web of Science, and PsycINFO via ProQuest were searched from inception through July 2024. Studies that reported on cognitive impairment among patients discharged from intensive care units with valid measures were included. Data extraction and risk of bias assessment were performed independently for all included studies according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guidelines. Newcastle–Ottawa Scale was used to measure risk of bias. Data on cognitive impairment prevalence were pooled using a random-effects model. The primary outcome was pooled estimated proportions of prevalence of the post-intensive care cognitive impairment. Results In total, 58 studies involving 347,940 patients were included. The pooled post-intensive care cognitive impairment prevalence rates at the follow-up timepoints < 1 month, 1–3 month(s), 4–6 months, 7–12 months, > 12 months were 49.8% [95% Prediction Interval (PI), 39.9%–59.7%, n = 19], 45.1% (95% PI, 34.8%–55.5%, n = 23), 47.9% (95% PI, 35.9%–60.0%, n = 16), 28.3% (95% PI, 19.9%–37.6%, n = 19), and 30.4% (95% PI, 18.4%–43.9%, n = 7), respectively. Subgroup analysis showed that significant differences of the prevalence rates between continents and study designs were observed. Conclusions The prevalence rates of post-intensive care cognitive impairment differed at different follow-up timepoints. The rates were highest within the first three months of follow-up, with a pooled prevalence of 49.8% at less than one month, 45.1% at one to three months, and 47.9% at three to six months. No significant differences in prevalence rates between studies that only included coronavirus disease 2019 survivors. These fundings highlight the need for further research to develop targeted interventions to prevent or manage cognitive impairment at short-term and long-term follow-ups.https://doi.org/10.1186/s13613-025-01429-zCognitive impairmentCritically ill survivorsPost-intensive care syndromeProportional meta-analysisSystematic review |
| spellingShingle | Mu-Hsing Ho Yi-Wei Lee Lizhen Wang Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies Annals of Intensive Care Cognitive impairment Critically ill survivors Post-intensive care syndrome Proportional meta-analysis Systematic review |
| title | Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies |
| title_full | Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies |
| title_fullStr | Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies |
| title_full_unstemmed | Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies |
| title_short | Estimated prevalence of post-intensive care cognitive impairment at short-term and long-term follow-ups: a proportional meta-analysis of observational studies |
| title_sort | estimated prevalence of post intensive care cognitive impairment at short term and long term follow ups a proportional meta analysis of observational studies |
| topic | Cognitive impairment Critically ill survivors Post-intensive care syndrome Proportional meta-analysis Systematic review |
| url | https://doi.org/10.1186/s13613-025-01429-z |
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