Validation of the Clinical Frailty Scale for the Prediction of Mortality in Patients With Liver Cirrhosis
Bibliographic record
Abstract
INTRODUCTION: Frailty is a common but often underestimated complication in patients with liver cirrhosis. The Clinical Frailty Scale (CFS) allows the assessment of frailty within a short period of time but has only been investigated in a Canadian cohort of outpatients. The aim of the current study was to evaluate the ability of the CFS to predict mortality in outpatients and nonelectively hospitalized German patients. METHODS: Two hundred outpatients and 99 nonelectively hospitalized patients with liver cirrhosis were prospectively enrolled. Outpatients/inpatients were followed for a median of 364/28 days regarding the primary outcome of death or liver transplantation. Eighty-seven patients of the outpatient cohort and 64 patients of the inpatient cohort had available computed tomography-scans for the quantification of muscle mass. RESULTS: Median CFS was 3 in the outpatient and the inpatient cohort. Twenty-one (10.5%) outpatients were at least prefrail (CFS > 3) and 26 (26.3%) inpatients were frail (CFS > 4). For every one-unit increase, there was an independent association between the CFS and mortality in the outpatient cohort (hazard ratio 1.534, P = 0.007). This association remained significant after controlling for muscle mass in the subcohort with available computed tomography scans. In the inpatient cohort, frailty (CFS > 4) was an independent predictor for 28-day mortality after controlling for acute-on-chronic liver failure, albumin, and infections (odds ratio 4.627, P = 0.045). However, this association did not reach significance in a subcohort after controlling for muscle mass. DISCUSSION: Especially in outpatients, CFS is a useful predictor regarding increased mortality independent of the muscle mass.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".