ArticleJournal of hepatocellular carcinoma2026
Length of Hospital Stay in Patients with Primary Liver Cancer Undergoing Surgery: Risk Factors and Predictive Model Development.
Article in Journal of hepatocellular carcinoma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Aim: To identify preoperative risk factors for prolonged length of hospital stay (LOS) in patients undergoing surgery for primary liver cancer and to develop a predictive nomogram. Methods: We retrospectively analyzed 702 surgical patients from a single center (2020-2023). LOS was modeled using negative binomial regression based on preoperative factors to construct a nomogram. Model performance was evaluated via internal bootstrap validation (1000 resamples), calibration plots, and decision curve analysis. Prolonged LOS was defined as >17 days (75th percentile) for a secondary logistic regression analysis. Results: Four independent preoperative factors predicted longer LOS: lower serum cholinesterase, higher fibrinogen, intrahepatic cholangiocarcinoma (vs hepatocellular carcinoma), and female sex (all p<0.05). The nomogram showed moderate discriminative ability (apparent AUC ~0.67) with good calibration. The mean absolute error for LOS prediction was ~4.6 days. For predicting prolonged LOS (>17 days), the logistic model achieved an AUC of ~0.67. Conclusion: We developed an internally validated nomogram using routine preoperative data to estimate the risk of extended hospitalization after liver cancer surgery. This tool may help identify high-risk patients for targeted interventions, although its predictive accuracy is modest, and external validation is required before clinical application.
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