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Record W4306690010 · doi:10.2340/jrm.v54.3415

Correlations between Disease Severity and Rehabilitation Outcomes in Patients Recovering from Covid-19 Infection

2022· article· en· W4306690010 on OpenAlexaboutno aff
Sheer Shabat, Anat Marmor, Shimon Shiri, Jeanna Tsenter, Zeev Meiner, Isabella Schwartz

Bibliographic record

VenueJournal of Rehabilitation Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicLong-Term Effects of COVID-19
Canadian institutionsnot available
Fundersnot available
KeywordsFunctional Independence MeasureMedicineRehabilitationMontreal Cognitive AssessmentSeverity of illnessPhysical therapyObservational studyActivities of daily livingCoronavirus disease 2019 (COVID-19)Mechanical ventilationDiseaseCohort studyCohortAcute careInternal medicineCognitive impairmentHealth care

Abstract

fetched live from OpenAlex

Objective: Based on long-term follow-up of patients with COVID-19, to evaluate whether the severity of acute COVID-19 infection affects rehabilitation outcomes.Design: Observational cohort study.Subjects: A total of 61 post-acute COVID-19 patients underwent inpatient and outpatient customized rehabilitation treatment.Methods: The severity of acute COVID-19 infection was measured with the World Health Organization Clinical Progression Scale (WHO-CPS). Motor, cognitive, and functional variables were measured using standard and specified scales 6 months or more after acute illness.Results: Of the 61 subjects, 65.6% had severe disease according to WHO-CPS. Significant improvement was found in activities of daily living functions (Functional Independence Measure (FIM) at admission 103.7 ± 18.9 vs FIM at discharge 118.7 ± 6.8) (p < 0.00). Of participants, 88% were able to wean off oxygen completely. A significant correlation was found between higher WHO-CPS, prolonged acute hospitalization, and days of ventilation were correlated with lower total and motor FIM at admission, but not with cognitive FIM or Montreal Cognitive Assessment (MoCA). No correlation was found between WHO-CPS, prolonged acute hospitalization and day of ventilation and funnctional level at discharge.Conclusion: The severity of acute COVID-19 infection affects the functional status of survivors at admission to rehabilitation, but, contrary to expectations, not the functional outcomes at discharge. These findings show that even patients with severe acute COVID-19 infection may improve their daily functioning significantly during rehabilitation program. LAY ABSTRACTMany patients worldwide develop severe complications of recent infection with the coronavirus SARS-CoV-2 (COVID-19). These complications include respiratory, motor, cognitive, and functional symptoms. Rehabilitation plays an important role in the recovery of these patients. This study examined whether there is a correlation between the severity of acute COVID-19 infection and the functional level of survivors after rehabilitation. Study participants were 61 post-acute COVID-19 patients who received inpatient and outpatient rehabilitation. Most of the patients improved significantly in daily functions following rehabilitation, and most did not need oxygen support at discharge. Patients with severe COVID-19 infection started the rehabilitation period at a low functional level, but improved significantly during rehabilitation, and at discharge there was no difference between patients with more severe or less severe COVID-19 infections. These findings show that even patients with severe acute COVID-19 infection may improve significantly during rehabilitation program.

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)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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".

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Citations4
Published2022
Admission routes1
Has abstractyes

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