<p>The impact of frailty on prolonged hospitalization and mortality in elderly inpatients in Vietnam: a comparison between the frailty phenotype and the Reported Edmonton Frail Scale</p>
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Bibliographic record
Abstract
AIMS: To investigate the impact of frailty on outcomes in older hospitalized patients, including prolonged length of stay and all-cause mortality 6 months after admission, using both the frailty phenotype and the Reported Edmonton Frail Scale (REFS). PATIENTS AND METHODS: This study is the follow-up phase of a study designed to investigate the prevalence of frailty and its impact on adverse outcomes in older hospitalized patients at the National Geriatric Hospital in Hanoi, Vietnam. RESULTS: A total of 461 participants were included, with a mean age 76.2±8.9 years, and 56.8% were female. The prevalence of frailty was 31.9% according to the REFS and 35.4% according to Fried's criteria. The kappa coefficient was 0.57 (95% CI =0.49-0.66) between the two frailty criteria in identifying frail and non-frail participants. There was a trend toward increasing the likelihood of prolonged hospitalization in participants with frailty defined by Fried's criteria (adjusted OR =1.49, 95% CI =0.94-2.35) or by REFS (adjusted OR =1.43, 95% CI =0.89-2.29). During 6 months of follow-up, 210 were lost and 18/251 (7.2%) participants died. Mortality was higher in those with frailty defined by either Fried's criteria or REFS. On multivariable survival analysis, adjusted HRs for mortality were 2.65 (95% CI =1.02-6.89) for Fried's criteria and 4.19 (95% CI =1.59-10.99) for REFS. CONCLUSION: Fried's frailty phenotype or REFS can be used as a screening tool to detect frailty in older inpatients in Vietnam and predict mortality. Frailty screening can help prioritize targeted frailty-tailored treatments, such as nutrition, early mobility and medication review, for these vulnerable patients to improve clinical outcomes.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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