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Record W2883453488 · doi:10.1136/bmjopen-2017-020163

Health-related quality of life, participation, and physical and cognitive function of patients with intensive care unit-acquired muscle weakness 1 year after rehabilitation in Germany: the GymNAST cohort study

2018· article· en· W2883453488 on OpenAlexaboutno aff
Simone Thomas, Jan Mehrholz

Bibliographic record

VenueBMJ Open · 2018
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentRehabilitationIntensive care unitQuality of life (healthcare)Physical therapyCohortMuscle weaknessCognitionCohort studyWeaknessPhysical medicine and rehabilitationGerontologyIntensive care medicineCognitive impairmentInternal medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe predictors for health-related quality of life, participation, physical activity and cognitive function in patients with intensive care unit (ICU)-acquired muscle weakness 1 year after discharge from rehabilitation. DESIGN: This is a cohort study. PARTICIPANTS: We included 150 chronic critically ill individuals with ICU-acquired muscle weakness. SETTING: Postacute ICU and rehabilitation units in Germany. MEASURES: We measured health-related quality of life using the EQ-5D, participation using the Reintegration of Normal Living Index, physical activity using the Physical Activity Scale for Individuals With Physical Disabilities, and basal cognitive function using the Montreal Cognitive Assessment (MoCA) at 6 months, and the Clock Drawing Test 6 and 12 months after discharge from postacute treatment. We described the predictors of the results at 12 months. RESULTS: The best predictors for good health-related quality of life 1 year after discharge were the time until regaining walking ability (OR=0.96, OR per day, 95% CI 0.93 to 0.99) and the mean MoCA score on admission to our postacute ICU and rehabilitation units (OR=1.25,95% CI 1.02 to 1.52).The best predictor for good participation 1 year after discharge was the MoCA sum score on admission to our postacute ICU and rehabilitation units (OR=0.85,95% CI 0.72 to 1.00). The best predictor for good physical activity 1 year after discharge was the Apache sum score on admission to our postacute ICU and rehabilitation units (OR=1.68,95% CI 0.89 to 3.13). The best predictor for normal cognitive function 1 year after discharge was regaining walking function in rehabilitation (OR=8.0,95% CI 0.49 to 13.69). CONCLUSION: Recovery of health-related quality of life, participation, physical activity and basal cognitive function was still not complete 12 months after discharge from postacute treatment. We described the predictors for these important outcomes in participants with ICU-acquired muscle weakness 1 year after discharge from rehabilitation. TRIAL REGISTRATION NUMBER: DRKS00007181.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.038
GPT teacher head0.381
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations35
Published2018
Admission routes1
Has abstractyes

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