Title

Natural history of cognitive impairment in critical illness survivors a systematic review

Document Type

Article

Publication Date

7-15-2020

Journal

American Journal of Respiratory and Critical Care Medicine

Volume

202

Issue

2

First Page

193

Last Page

201

URL with Digital Object Identifier

10.1164/rccm.201904-0816CI

Abstract

Long-term cognitive impairment is common among ICU survivors, but its natural history remains unclear. In this systematic review, we report the frequency of cognitive impairment in ICU survivors across various time points after ICU discharge that were extracted from 46 of the 3,350 screened records. Prior studies used a range of cognitive instruments, including subjective assessments (10 studies), single or screening cognitive test such as Mini-Mental State Examination or Trail Making Tests A and B (23 studies), and comprehensive cognitive batteries (26 studies). The mean prevalence of cognitive impairment was higher with objective rather than subjective assessments (54% [95% confidence interval (CI), 51 57%] vs. 35% [95% CI, 29 41%] at 3 months after ICU discharge) and when comprehensive cognitive batteries rather than Mini-Mental State Examination were used (ICU discharge: 61% [95% CI, 38 100%] vs. 36% [95% CI, 15 63%]; 12 months after ICU discharge: 43% [95% CI, 10 78%] vs. 18% [95% CI, 10 20%]). Patients with acute respiratory distress syndrome had higher prevalence of cognitive impairment than mixed ICU patients at ICU discharge (82% [95% CI, 78 86%] vs. 48% [95% CI, 44 52%]). Although some studies repeated tests at more than one time point, the time intervals between tests were arbitrary and dictated by operational limitations of individual studies or chosen cognitive instruments. In summary, the prevalence and temporal trajectory of ICU-related cognitive impairment varies depending on the type of cognitive instrument used and the etiology of critical illness. Future studies should use modern comprehensive batteries to better delineate the natural history of cognitive recovery across ICU patient subgroups and determine which acute illness and treatment factors are associated with better recovery trajectories.

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