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Record W4382602144 · doi:10.1136/bmjresp-2022-001377

Additive benefit of rehabilitation on physical status, symptoms and mental health after hospitalisation for severe COVID-19 pneumonia

2023· article· en· W4382602144 on OpenAlexaboutno aff
Andreas Asimakos, Stavroula Spetsioti, Aspasia Mavronasou, Pantelis Gounopoulos, Dimitra Siousioura, Effrosyni Dima, Niki Gianniou, Ioanna Sigala, George Ε. Zakynthinos, Αnastasia Kotanidou, Ioannis Vogiatzis, Paraskevi Κatsaounou

Bibliographic record

VenueBMJ Open Respiratory Research · 2023
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePneumoniaRehabilitationCOPDQuality of life (healthcare)Physical therapyInternal medicineDepression (economics)Intensive care unitPulmonary rehabilitationProspective cohort studyNursing

Abstract

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Introduction The potential additive benefits of rehabilitation beyond spontaneous recovery post-COVID-19 currently remain unknown. Methods In this prospective, interventional, non-randomised parallel assignment two-arm study, we investigated the effects of an 8-week rehabilitation programme (Rehab, n=25) added to usual care (UC) versus UC (n=27) on respiratory symptoms, fatigue, functional capacity, mental health and health-related quality of life in patients with COVID-19 pneumonia, 6–8 weeks post-hospital discharge. The rehabilitation programme included exercise, education, dietary and psychological support. Patients with chronic obstructive pulmonary disease, respiratory and heart failure were excluded from the study. Results At baseline, groups were not different in mean age (56 years), gender (53% female), intensive care unit admission (61%), intubation (39%), days of hospitalisation (25), number of symptoms (9) and number of comorbidities (1.4). Baseline evaluation was conducted at median (IQR) 76 (27) days after symptoms onset. Groups were not different regarding baseline evaluation outcomes. At 8 weeks, Rehab showed significantly greater improvement in COPD Assessment Test by a mean±SEM (95% CI) 7.07±1.36 (4.29–9.84), p <0.001 and all three fatigue questionnaires: Chalder-Likert: 5.65±1.27 (3.04–8.25), p <0.001; bimodal: 3.04±0.86 (1.28–4.79), p=0.001; Functional Assessment of Chronic Illness Therapy: 6.37±2.09 (2.08–10.65), p=0.005 and Fatigue Severity Scale: 1.36±0.433 (0.47–2.25), p=0.004. At 8 weeks rehab also showed significantly greater improvment in Short Physical Performance Battery: 1.13±0.33 (0.46–1.79), p=0.002; Hospital Anxiety and Depression Scale (HADS) A nxiety: 2.93±1.01 (0.67–5.18), p=0.013; Beck Depression Inventory: 7.81±3.07 (1.52–14.09), p=0.017; Montreal Cognitive Assessment: 2.83±0.63 (1.5–4.14), p <0.001; EuroQol (EQ-5D-5L) Utility Index: 0.21±0.05 (0.1–0.32), p=0.001 and Visual Analogue Scale: 6.57±3.21 (0.2–13.16), p=0.043. Both groups significantly improved 6-min walking distance by approximately 60 m and pulmonary function measures, whereas post-traumatic stress disorder measurement IES-R (Impact of Event Scale, Revised) and HADS-Depression score were not different between groups at 8 weeks. A 16% attrition rate was observed in the rehabilitation group exhibiting a threefold increase in training workload. There were no adverse effects reported during exercise training. Discussion These findings highlight the added value of rehabilitation post-COVID-19 to amplify the natural course of physical and mental recovery that otherwise would remain incomplete with UC.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.086
GPT teacher head0.491
Teacher spread0.405 · 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

Citations23
Published2023
Admission routes1
Has abstractyes

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