Hospital readmissions after robotic hepatectomy for neoplastic disease: Analysis of risk factors, survival, and economical impact. A logistical regression and propensity score matched study

As the first comprehensive investigation into hospital readmissions following robotic hepatectomy for neoplastic disease, this study aims to fill a critical knowledge gap by evaluating risk factors associated with readmission and their impact on survival and the financial burden. The study analyzed a database of robotic hepatectomy patients, comparing readmitted and non-readmitted individuals post-operatively using 1:1 propensity score matching. Statistical methods included Chi-square, Mann-Whitney U, T-test, binomial logistic regression, and Kaplan-Meier analysis. Among 244 patients, 44 were readmitted within 90 days. Risk factors included hypertension (p ​= ​0.01), increased Child-Pugh score (p ​