A223 FRAILTY INCREASES THE RISK OF CIRRHOSIS DISEASE PROGRESSION, DEATH, AND HOSPITALIZATION IN CIRRHOSIS
Bibliographic record
Abstract
Abstract Background In cirrhosis, frailty is associated with increased risk of morbidity and mortality, including an increased risk of hospitalization. While frailty is established as a prognostic marker in cirrhosis, its impact on the progression of cirrhosis, especially in earlier stages of disease, remains unclear. Aims To determine the relationship between frailty and risk of cirrhosis progression, mortality, and unplanned hospitalizations in patients with cirrhosis across the spectrum of disease. Methods Adult patients with cirrhosis from two centers in North America and one in India were included in this retrospective review of prospectively collected data. Frailty was measured at baseline using the Liver Frailty Index (LFI), comprising grip strength, chair stands, and balance testing. Progression of cirrhosis was defined by an increase from one ordinal stage to the next using the D’Amico classification. Factors associated with progression, mortality, and hospitalizations were evaluated using multivariate competing risk regression models, with transplant as a competing risk. Results In total, 822 patients with cirrhosis were included. The median MELD score was 15.5 ± 6.0. Of these patients, 201 (24.5%), 488 (59.4%), and 133 (16.2%) were classified as frail, pre-frail, and robust, respectively. Over a median follow up time of 1.2 years, 60 (7.3%) patients developed progression of cirrhosis, 187 (22.7%) died, 233 (28.3%) underwent liver transplantation, and 342 (41.6%) were alive without cirrhosis progression or transplant. Adjusting for age, sex, and MELD at baseline, being frail was associated with an increased risk of progression to the next cirrhosis stage or to death as compared to being robust (HR 2.47, 95% CI 1.63–3.76, p<0.001). As a continuous variable, every increase in the LFI by 0.1 unit increased the risk of decompensation or death by 1.05-fold (95% CI 1.04–1.07, p<0.001). Similarly, patients who were frail were more likely to be hospitalized as compared to patients who were robust (HR 2.88, 95% CI 2.08–3.98, p<0.001). Conclusions Frailty was associated with an increased risk of cirrhosis progression or death, and hospitalization, independent of MELD at baseline. Future studies are needed to evaluate the possibility of slowing cirrhosis disease progression by reversing or preventing frailty. Funding Agencies None
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".