Clinical Characteristics of Older Heart Failure Patients With Hospital-Acquired Disability: A Preliminary, Single-Center, Observational Study
Bibliographic record
Abstract
BACKGROUND: This study investigated the clinical factors related to hospital-acquired disability (HAD) among 70 patients (median age, 78 years; interquartile range (IQR), 78 - 83) who were hospitalized for heart failure (HF) at Ayase Heart Hospital between December 2019 and October 2020. METHODS: HAD was defined as a ≥ 5-point decrease in Barthel Index (BI) scores from admission to discharge. Twenty-nine HF patients (41%) developed HAD after admission. RESULTS: Compared to the non-HAD group, the HAD group had higher Kihon Checklist scores (14 points (IQR, 11 - 17) vs. 9 points (IQR, 6 - 13); P < 0.01) and prevalence of multi-faceted frailty (90% vs. 29%; P < 0.01), a longer urinary-catheter-placement period (3 days (IQR, 1 - 5] vs. 1 day (IQR, 0 - 2), P < 0.05), less daily number of steps (457 steps (IQR, 301 - 997) vs. 1,692 steps (IQR, 1,227 - 2,418); P < 0.01), and moderate-intensity physical activity time (0 min (IQR, 0 - 2] vs. 1 min (IQR, 0 - 3); P < 0.05). CONCLUSION: In conclusion, lower physical function and general physical activity and longer urinary-catheter-placement are associated with HAD.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".