Association Between Constipation and Frailty Components in Patients Undergoing Late Phase II Cardiac Rehabilitation
Bibliographic record
Abstract
BACKGROUND: The Japanese Ministry of Health, Labour and Welfare reported that the overall constipation complaint rates among men and women are 2.5% and 4.6%, respectively. To evaluate the impact of constipation on patients with cardiovascular diseases, we investigated the association between constipation and frailty components in patients undergoing cardiac rehabilitation (CR). METHODS: We enrolled 102 consecutive patients undergoing late phase II CR (mean age: 62.7 ± 13.4 years; 68 (67%) were men). We investigated clinical characteristics, observed defecation status and evaluated frailty components assessed by the Kihon checklist. According to the Clinical Guidelines for Chronic Constipation, the subjects were divided into constipation and non-constipation groups. RESULTS: Constipation was noted in 33 patients (32%). Interestingly, the constipation complaint rate was only 15%. Age was significantly higher in the constipation group than in the non-constipation group; however, no differences in sex, underlying diseases and prevalence rates of coronary risk factors were observed between the two groups. Body mass index, hemoglobin level, albumin level and estimated glomerular filtration rate were significantly lower in the constipation group than in the non-constipation group. The prevalence of frailty was significantly higher in the constipation group than in the non-constipation group. Physical ability, seclusion and depression scores were significantly higher in the constipation group than the non-constipation group. CONCLUSIONS: Constipation was associated with physical function and depression score as components of frailty in patients undergoing CR.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".