Background: The American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) calculator is a useful tool used by physicians to better inform patients on the surgical risk of postoperative complications. It makes use of the NSQIP database to derive the chance for several adverse outcomes to occur postoperatively given certain patient's factors. The aim of this study was to assess its applicability in a series of patients undergoing an Ivor Lewis esophagectomy.

Methods: Data from 100 consecutive patients who underwent an Ivor Lewis esophagectomy between September 2013 and November 2017 at our institution were reviewed. Each patient was assessed using the ACS NSQIP surgical risk calculator. Actual events in this group were compared with their particular NSQIP-assessed risk. Logistic regression models were used to compare surgical risk calculator estimates binary outcomes such as incidence of postoperative complications such as cardiac events, renal events, surgical site infection, and death. Mixed linear model was used for length of stay (LOS) duration versus observed LOS. C-statistic was for predictive accuracy each binary outcome and intraclass correlation was used for LOS.

Results: C-statistic values were higher than the cutoff (0.75) for surgical site infection and death. The ACS NSQIP risk calculator was poorly predictive of other reported outcomes by the calculator such as cardiac or renal complications. Corroboration between observed LOS and predicted LOS was weak (8 d versus 11 d, respectively, intraclass coefficient 0.04).

Conclusions: This study suggests that the risk calculator is useful for identifying risk of death or surgical site infection but poor at discriminating likelihood of other reported outcomes occurring, such as pneumonia, acute renal failure and cardiac complications for patients who underwent an Ivor Lewis esophagectomy. Estimations for procedure-specific complications for esophagectomy may need reevaluated.

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http://dx.doi.org/10.1016/j.jss.2020.05.080DOI Listing

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