Association between frailty and self-reported health following heart valve surgery
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Knowledge about the association between frailty and self-reported health among patients undergoing heart valve surgery remains sparse. Thus, the objectives were to I) describe changes in self-reported health at different time points according to frailty status, and to II) investigate the association between frailty status at discharge and poor self-reported health four weeks after discharge among patients undergoing heart valve surgery. METHODS: In a prospective cohort study, consecutive patients undergoing heart valve surgery, including transapical/transaortic valve procedures were included. Frailty was measured using the Fried score, and self-reported health using the Kansas City Cardiomyopathy Questionnaire (KCCQ) and the EuroQoL-5 Dimensions 5-Levels Health Status Questionnaire (EQ-5D-5L).To investigate the association between frailty and self-reported health, multivariable logistic regression models were used. Analyses were adjusted for sex, age, surgical risk evaluation (EuroScore) and procedure and presented as odds ratios (OR) with 95% confidence intervals (CI). RESULTS: Frailty was assessed at discharge in 288 patients (median age 71, 69% men); 51 patients (18%) were frail. In the multivariable analyses, frailty at discharge remained significantly associated with poor self-reported health at four weeks, OR (95% CI): EQ-5D-5L Index 3.38 (1.51-7.52), VAS 2.41 (1.13-5.14), and KCCQ 2.84 (1.35-5.97). CONCLUSION: Frailty is present at discharge in 18% of patients undergoing heart valve surgery, and being frail is associated with poor self-reported health at four weeks of follow-up. This supports a clinical need to address the unique risk of frail patients among heart valve teams broadly, and not only to measure frailty as a marker of operative risk.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it