Background: IWATE, Institut Mutualiste Montsouris (IMM), and Southampton are established difficulty scoring systems (DSS) for laparoscopic hepatectomy, yet none specifically address robotic hepatectomy. Our study evaluates these 3 DSS for predicting perioperative outcomes in robotic hepatectomy.
Methods: With IRB approval, we prospectively followed 359 consecutive patients undergoing robotic hepatectomies, assessing categorical metrics like conversions to open, intra/postoperative issues, Clavien-Dindo Score (≥III), 30 and 90-day mortality, and 30-day readmissions using Receiver Operating Characteristic (ROC) curves and Area Under the Curve (AUC) to determine efficacy in predicting their occurrence for each DSS.
Background: 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.
Methods: 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.