Characteristics and outcomes of COVID-19-positive individuals admitted for inpatient rehabilitation in Toronto, Canada
Bibliographic record
Abstract
OBJECTIVE: To describe the sociodemographic features, impairments, and functional changes of COVID-19-positive individuals who underwent inpatient rehabilitation at three rehabilitation hospitals in Toronto, Canada. DESIGN: Retrospective chart review of patients admitted to three COVID-19 rehabilitation units between 20 April 2020 and 3 June 2020. Sociodemographic factors, impairments, length of stay, and Functional Independence Measure data were reported. RESULTS: A total of 41 patients were included in this study, including 22 males and 19 females. The median age was 75 years. Thirty-six percent of patients were admitted to the intensive care unit during their acute stay. The most commonly affected body functions were: neuromusculoskeletal (73.2%); combined cardiovascular, haematological, immunological, and respiratory (65.9%); and mental functions (29.3%). Median total Functional Independence Measure score was 85 at admission and 108.5 at discharge. CONCLUSION: This study represents some of the first data on the characteristics and outcomes of COVID-19-positive individuals admitted to inpatient rehabilitation in Toronto, Canada early in the COVID-19 pandemic.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".