Digestive Health Institute AdventHealth Tampa, Tampa, FL, USA.
University of South Florida Morsani College of Medicine Tampa, Tampa, FL, USA.
Am Surg. 2024 Jul;90(7):1853-1859. doi: 10.1177/00031348241241616. Epub 2024 Mar 23.
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.
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 -value ≤.05.
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 ( ≤ .05).
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.
IWATE、Institut Mutualiste Montsouris(IMM)和南安普顿是已建立的腹腔镜肝切除术难度评分系统(DSS),但没有一个专门针对机器人肝切除术。我们的研究评估了这 3 个 DSS 在预测机器人肝切除术中围手术期结果的能力。
在获得机构审查委员会批准后,我们前瞻性地随访了 359 例连续接受机器人肝切除术的患者,使用接收者操作特征(ROC)曲线和曲线下面积(AUC)评估了手术中转开放、围手术期问题、Clavien-Dindo 评分(≥III 级)、30 天和 90 天死亡率以及 30 天再入院等分类指标,以确定每个 DSS 对其发生的预测效果。使用 Spearman 相关性和回归分析了手术时间、估计失血量(EBL)、住院时间和总费用等连续指标。预测准确性的显著性标准为 AUC 或相关性≥.700 和 P 值≤.05。
IMM 在预测中转开放(AUC =.705)和术后并发症(AUC =.481)方面具有最高的预测准确性。南安普顿在预测 Clavien Dindo ≥ III 级并发症方面最为准确(AUC =.506)。IWATE 在预测 30 天死亡率(AUC =.552)、术中问题(AUC =.798)、院内死亡率(AUC =.450)、90 天死亡率(AUC =.596)和再入院率(AUC =.572)方面表现出色。回归分析显示,所有 DSS 的评分与手术时间、EBL 和医院费用之间均存在显著的相关性(P 值均≤.05)。
对 3 个 DSS 的统计分析表明,每个 DSS 都有特定的优势,可以最好地预测围手术期的内和/或术后结果。然而,所有 DSS 都存在不准确和与变量的冲突关系,这表明 DSS 之间缺乏实质性的层次关系。鉴于这些不一致性,应该为机器人肝切除术创建一个专门的综合 DSS。