Physical Impairments Associated With Post–Intensive Care Syndrome: Systematic Review Based on the World Health Organization's International Classification of Functioning, Disability and Health Framework
Bibliographic record
Abstract
Background: Post-intensive care syndrome (PICS) is a constellation of new or worsening impairments in physical, mental, or cognitive abilities or a combination of these in individuals who have survived critical illness requiring intensive care. Purpose: The 2 purposes of this systematic review were to identify the scope and magnitude of physical problems associated with PICS during the first year after critical illness and to use the World Health Organization's International Classification of Functioning, Disability and Health (ICF) framework to elucidate impairments of body functions and structures, activity limitations, and participation restrictions associated with PICS. Data Sources: Ovid MEDLINE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, CINAHL Plus with Full Text (EBSCO), Web of Science, and Embase were searched from inception until March 7, 2017. Study Selection: Two reviewers screened titles, abstracts, and full text to independently determine study eligibility based on inclusion and exclusion criteria. Data Extraction: Study methodological quality was assessed using the Newcastle-Ottawa Scale. Data describing study methods, design, and participant outcomes were extracted. Data Synthesis: Fifteen studies were eligible for review. Within the first year following critical illness, people who had received intensive care experienced impairments in all 3 domains of the ICF (body functions and structures, activity limitations, and participation restrictions). These impairments included decreased pulmonary function, reduced strength of respiratory and limb muscles, reduced 6-minute walk test distance, reduced ability to perform activities of daily living and instrumental activities of daily living, and reduced ability to return to driving and paid employment. Limitations: The inclusion of only 15 observational studies in this review may limit the generalizability of the findings. Conclusions: During the first year following critical illness, individuals with PICS experienced physical impairments in all 3 domains of the ICF.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.008 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".