Dataset Information

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.

ABSTRACT:

Objectives

Improved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness.

Data sources

A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: CRD42018117255) was undertaken on December 8, 2018, and the final searches updated on January 20, 2019.

Study selection

Four independent reviewers assessed titles and abstracts against study eligibility criteria. Studies were eligible if a prediction model was developed, validated, or updated for impairments after critical illness in adult patients. Discrepancies were resolved by consensus or an independent adjudicator.

Data extraction

Data on study characteristics, timing of outcome measurement, candidate predictors, and analytic strategies used were extracted. Risk of bias was assessed using the Prediction model Risk Of Bias Assessment Tool.

Data synthesis

Of 8,549 screened studies, three studies met inclusion. All three studies focused on the development of a prediction model to predict (1) a mental health composite outcome at 3 months post discharge, (2) return-to-pre-ICU functioning and residence at 6 months post discharge, and (3) physical function 2 months post discharge. Only one model had been externally validated. All studies had a high risk of bias, primarily due to the sample size, and statistical methods used to develop and select the predictors for the prediction published model.

Conclusions

We only found three studies that developed a prediction model of any post-ICU impairment. There are several opportunities for improvement for future prediction model development, including the use of standardized outcomes and time horizons, and improved study design and statistical methodology.

SUBMITTER: Haines KJ

PROVIDER: S-EPMC7673641 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Publications

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.

Haines Kimberley J KJ Hibbert Elizabeth E McPeake Joanne J Anderson Brian J BJ Bienvenu Oscar Joseph OJ Andrews Adair A Brummel Nathan E NE Ferrante Lauren E LE Hopkins Ramona O RO Hough Catherine L CL Jackson James J Mikkelsen Mark E ME Leggett Nina N Montgomery-Yates Ashley A Needham Dale M DM Sevin Carla M CM Skidmore Becky B Still Mary M van Smeden Maarten M Collins Gary S GS Harhay Michael O MO

Critical care medicine 20201201 12

<h4>Objectives</h4>Improved ability to predict impairments after critical illness could guide clinical decision-making, inform trial enrollment, and facilitate comprehensive patient recovery. A systematic review of the literature was conducted to investigate whether physical, cognitive, and mental health impairments could be predicted in adult survivors of critical illness.<h4>Data sources</h4>A systematic search of PubMed and the Cochrane Library (Prospective Register of Systematic Reviews ID: ...[more]

PMID: 33060502

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Dataset Information

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.

Objectives

Data sources

Study selection

Data extraction

Data synthesis

Conclusions

Publications

Prediction Models for Physical, Cognitive, and Mental Health Impairments After Critical Illness: A Systematic Review and Critical Appraisal.

Similar Datasets

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