Persistent dyspnea, declined moderate to vigorous physical activity, functional status, and quality of life during the post-acute phase of COVID-19 infection: A pilot case control study.
Bibliographic record
Abstract
Abstract Purpose: The purpose of this study was to explore the multifaceted impacts of post-acute phase of COVID-19 infection on the sense of dyspnea, select intensities of physical activity, functional, and psychological variables among survivors compared to age matched healthy participants and their implications for rehabilitation programs in this population. Methods: Seventy-eight (male, female age 30-70 yrs.) participants (39 COVID-infected, CI and 39 age-matched healthy controls, HC). Four questionnaires were used to assess the variables in this study: dyspnea scale of the Modified Medical Research Council (mMRC), International Physical Activity Questionnaire (IPAQ), Functional Status Questionnaire (FSQ), and the RAND-36 measure of health-related quality of life. A Mann Whitney test was used to compare the variables data between HC and CI. Results: Dyspnea scores in CI group were significantly higher than in HC group (mean = 1.77 vs 0.13). Scores of IPAQ, FSQ and RAND-36 HRQoL questionnaires were also significantly lower in CI than in HC group. However, sitting and walking activity scores of IPAQ were not significantly different between both groups. Conclusions: The results of the CI group were significantly different than the HC group in all parameters (except sitting and walking components of the IPAQ) of the questionnaires used in this study. Our findings provide the multi-disciplinary rehabilitation professionals the opportunity to tailor their interventions to meet the specific needs of COVID-19 survivors.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".