Predictors and Consequences of Unplanned Conversion to Open During Robotic Colectomy: An ACS-NSQIP Database Analysis.

Abstract

Robotic-assisted surgery has become a desired modality for performing colectomy; however, unplanned conversion to an open procedure may be associated with worse outcomes. The purpose of this study is to examine predictors and consequences of unplanned conversion to open in a large, high fidelity data set. A retrospective analysis of 11 061 robotic colectomies was conducted using the American College of Surgeons - National Surgical Quality Improvement Program (ACS-NSQIP) 2012-2017 database. Predictors of conversion and the effect of conversion on outcomes were analyzed by multivariate logistic regression resulting in risk-adjusted odds ratios of conversion and morbidity/mortality. Overall, 10 372 (93.8%) patients underwent successful robotic colectomy, and 689 (6.2%) had an unplanned conversion. Predictors of conversion included age ≥ 65 years, male gender, obesity, functional status not independent, American Society of Anesthesia (ASA) classification IV-V, non-oncologic indication, emergency case, smoking, recent weight loss, bleeding disorder, and preoperative organ space infection. Conversion is an independent risk factor for mortality, overall morbidity, cardiac morbidity, pulmonary morbidity, renal morbidity, venous thromboembolism morbidity, wound morbidity, sepsis, bleeding, readmission, return to the operating room, and extended length of stay (LOS). Unplanned conversion to open during robotic colectomy is an independent predictor of morbidity and mortality.