Comparison of IWATE, Institut Mutualiste Montsouris, and Southampton Laparoscopic Liver Resection Difficulty Scoring Systems for Predicting Intra and Postoperative Outcomes in Robotic Hepatectomy

被引:1
|
作者
Sucandy, Iswanto [1 ,3 ]
Ross, Sharona B. [1 ]
Flores, Jeilianis Adorno [1 ]
Syblis, Cameron [2 ]
Pattilachan, Tara Menon [1 ]
Christodoulou, Maria [1 ]
Rosemurgy, Alexander [1 ]
机构
[1] AdventHlth Tampa, Digest Hlth Inst, Tampa, FL 33613 USA
[2] Univ S Florida, Morsani Coll Med Tampa, Tampa, FL USA
[3] AdventHlth Tampa, Digest Hlth Inst, Div Chief Hepatopancreatobiliary Surg, 3000 Med Pk Dr,Suite 500, Tampa, FL 33613 USA
关键词
difficulty scoring system; IWATE; Institut Mutualiste Montsouris; Southampton; robotic hepatectomy; difficulty scoring comparison;
D O I
10.1177/00031348241241616
中图分类号
R61 [外科手术学];
学科分类号
摘要
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. Continuous metrics such as operative duration, estimated blood loss (EBL), length of stay, and total cost were analyzed using Spearman's correlation and regression. Predictive strength was significant with an AUC or correlation >=.700 and P-value <=.05.Results IMM had highest predictive accuracy for conversions to open (AUC = .705) and postoperative complications (AUC = .481). Southampton was most accurate in predicting Clavien Dindo >= III complications (AUC = .506). IWATE excelled in predicting 30-day mortality (AUC = .552), intraoperative issues (AUC = .798), In-hospital mortality (AUC = .450), 90-day mortality (AUC = .596), and readmissions (AUC = .572). Regression showed significant relationships between operative duration, EBL, and hospital cost with increasing scores for all DSS (P <= .05).Discussion Statistical analysis of the 3 DSS indicates that each has specific strengths that can best predict intra- and/or postoperative outcomes. However, all showed inaccuracies and conflicting relationships with the variables, indicating lack of substantial hierarchy between DSS. Given these inconsistencies, a dedicated comprehensive DSS should be created for robotic hepatectomy.
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收藏
页码:1853 / 1859
页数:7
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