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Record W4404719750 · doi:10.1186/s13613-024-01396-x

Comprehensive assessment and progression of health status during neurorehabilitation in survivors of critical illness: a prospective cohort study

2024· article· en· W4404719750 on OpenAlexaboutno aff
Marion Egger, Melanie Finsterhölzl, Daria Farabegoli, Franziska Wippenbeck, Maria Schlutt, Friedemann Müller, Volker Huge, Klaus Jahn, Jeannine Bergmann

Bibliographic record

VenueAnnals of Intensive Care · 2024
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersElse Kröner-Fresenius-Stiftung
KeywordsMedicineNeurorehabilitationRehabilitationProspective cohort studyPhysical therapyCohort studyIntensive care unitCohortIntensive careAnesthesiologyIntensive care medicineInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Critical illness survivors frequently suffer from long-term impairments, often described as post-intensive care syndrome (PICS). PICS encompasses physical, cognitive, and mental impairments. Additionally, the term intensive care unit (ICU)-acquired weakness (ICUAW) was coined for muscle weakness after critical illness. Research on the progression and outcome of individuals affected by PICS and ICUAW is scant. Thus we aimed to assess the health status and its progression during neurorehabilitation in critically ill patients using comprehensive outcome measures, describe the prevalence of PICS, and evaluate factors associated with rehabilitation outcomes. METHODS: Patients with mixed reasons for critical illness who received ≥ 5 days of mechanical ventilation on the ICU and who were admitted to neurorehabilitation, were eligible to be included in this prospective cohort study. A number of outcomes (patient-reported, clinician-reported, and performance) were assessed after discharge from the ICU (V1) and shortly before discharge from inpatient neurorehabilitation (V2). The prevalence of PICS, defined as having at least one impairment in any PICS dimension), was calculated at V1 and V2. Multiple logistic regressions were conducted to identify factors associated with rehabilitation outcome (poor outcome = modified Rankin Scale > 2) and ICUAW at V2 (MRC sum score < 48). RESULTS: In total, 250 critical illness survivors (62 ± 14 years, 34% female, median stay on ICU 55 days, median inpatient rehabilitation 65 days) were included. 11 participants (4.4%) died before V2. All outcomes improved significantly during rehabilitation except sensory impairment and pain. PICS was present in 96% at V1 and in 85% at V2, whereby mainly the physical domain (V1: 87%, V2: 66%; ICUAW with MRC sum score < 48) and the cognitive domain (V1:65%, V2:55%; Montreal Cognitive Assessment < 26) were affected. Mental impairment was lower (V1:48%, V2:29%; Hospital Anxiety and Depression Scale > 7), but still affected a considerable number of participants. Accordingly, health-related quality of life was rather low at discharge (0.64 ± 0.28, index value of EQ-5D-5L). MRC sum score at V1, duration of mechanical ventilation, and female gender were significantly associated with a poor rehabilitation outcome. Grip strength in % of reference at V1, age, female gender, and comorbidities were significantly associated with persistent ICUAW at discharge. CONCLUSIONS: Despite significant improvements during rehabilitation, survivors after critical illness experience a substantial burden of PICS and ICUAW at discharge from rehabilitation care. Survivors of critical illness require long-term follow-up, supportive structures, and tailored long-term multi-disciplinary therapies even after intensive rehabilitation. TRIAL REGISTRATION: German Clinical Trials Register, DRKS00021753. Registered 03 September, 2020. https://drks.de/search/en/trial/DRKS00021753 .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.036
GPT teacher head0.428
Teacher spread0.392 · 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 teacher head, not a consensus.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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