The 3‐month readmission rate remains unacceptably high in a large North American cohort of patients with cirrhosis
Bibliographic record
Abstract
UNLABELLED: In smaller single-center studies, patients with cirrhosis are at a high readmission risk, but a multicenter perspective study is lacking. We evaluated the determinants of 3-month readmissions among inpatients with cirrhosis using the prospective 14-center North American Consortium for the Study of End-Stage Liver Disease cohort. Patients with cirrhosis hospitalized for nonelective indications provided consent and were followed for 3 months postdischarge. The number of 3-month readmissions and their determinants on index admission and discharge were calculated. We used multivariable logistic regression for all readmissions and for hepatic encephalopathy (HE), renal/metabolic, and infection-related readmissions. A score was developed using admission/discharge variables for the total sample, which was validated on a random half of the total population. Of the 1353 patients enrolled, 1177 were eligible on discharge and 1013 had 3-month outcomes. Readmissions occurred in 53% (n = 535; 316 with one, 219 with two or more), with consistent rates across sites. The leading causes were liver-related (n = 333; HE, renal/metabolic, and infections). Patients with cirrhosis and with worse Model for End-Stage Liver Disease score or diabetes, those taking prophylactic antibiotics, and those with prior HE were more likely to be readmitted. The admission model included Model for End-Stage Liver Disease and diabetes (c-statistic = 0.64, after split-validation 0.65). The discharge model included Model for End-Stage Liver Disease, proton pump inhibitor use, and lower length of stay (c-statistic = 0.65, after split-validation 0.70). Thirty percent of readmissions could not be predicted. Patients with liver-related readmissions consistently had index-stay nosocomial infections as a predictor for HE, renal/metabolic, and infection-associated readmissions (odds ratio = 1.9-3.0). CONCLUSIONS: Three-month readmissions occurred in about half of discharged patients with cirrhosis, which were associated with cirrhosis severity, diabetes, and nosocomial infections; close monitoring of patients with advanced cirrhosis and prevention of nosocomial infections could reduce this burden. (Hepatology 2016;64:200-208).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".