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Background Surgical site infections (SSIs) are a major cause of morbidity complicating colorectal operations. Several evidence-based preoperative strategies are associated with decreased SSI rates. We hypothesize that compliance with multiple strategies is associated with lower incidence of SSI after the elective colorectal operation. Methods Preoperative care measure compliance before colorectal operations were assessed. Measures included antiseptic wash the night before and day of operation, oral antibiotic, and mechanical bowel preparation, antibiotic prophylaxis, Chloraprep skin preparation, and hair clipping. Rates of SSI after colectomy and other pertinent outcomes were stratified by full and partial compliance with preoperative measures. Exclusion criteria included bowel perforation, ischemia, complete obstruction, intra-abdominal abscess, and no intraoperative skin closure. Results Eight hundred twenty-six subjects underwent colectomy between 2010 and 2016; 469 met inclusion criteria. Compliance with all measures occurred in 214 (46%) and was independently associated with lower postoperative infection rates (odds ratio [OR], 0.37; confidence interval [CI], 0.16-0.85; P = 0.02). SSI occurred in 51 (11%): was superficial in 35 (7%); deep in 5 (1%); and organ space in 11 (2%). SSI rates were reduced from 16% (partial or no compliance group) to 5% (full compliance group). No stand-alone intervention was independently associated with decreased SSI rate. Multivariate analysis found the following factors associated with a lower risk of SSI: full compliance with all five process measures, lower BMI, nonsmoker, and minimally invasive operation. Discussion and conclusion Compliance with preoperative care strategies reduces rates of SSI after colectomy with a cumulative effect more pronounced than any single intervention reinforcing the need for protocol-driven and evidence-based care for patients undergoing colorectal operations.

BACKGROUND Given the conflicting nature of reported risk factors for post-discharge venous thromboembolism (VTE) and unclear guidelines for post-discharge pharmacoprophylaxis, we sought to determine risk factors for 30-day post-discharge VTE after colectomy to predict which patients will benefit from post-discharge pharmacoprophylaxis. METHODS Patients who underwent colectomy in the American College of Surgeons National Surgical Quality Improvement Project Participant Use Files from 2011 to 2015 were identified. Logistic regression modeling was used. Receiver-operating characteristic curves were used and the best cut-points were determined using Youden's J index (sensitivity + specificity - 1). Hosmer-Lemeshow goodness-of-fit test was used to test model calibration. A random sample of 30% of the cohort was used as a validation set. RESULTS Among 77,823 cases, the overall incidence of VTE after colectomy was 1.9%, with 0.7% of VTE events occurring in the post-discharge setting. Factors associated with post-discharge VTE risk including body mass index, preoperative albumin, operation time, hospital length of stay, race, smoking status, inflammatory bowel disease, return to the operating room and postoperative ileus were included in logistic regression equation model. The model demonstrated good calibration (goodness of fit P = 0.7137) and good discrimination (area under the curve (AUC) = 0.68; validation set, AUC = 0.70). A score of ≥-5.00 had the maxim sensitivity and specificity, resulting in 36.63% of patients being treated with prophylaxis for an overall VTE risk of 0.67%. CONCLUSION Approximately one-third of post-colectomy VTE events occurred after discharge. Patients with predicted post-discharge VTE risk of ≥-5.00 should be recommended for extended post-discharge VTE prophylaxis.

Background The objective of the current study was to define risk factors associated with the 30-day post-operative risk of VTE after HPB surgery and create a model to identify patients at highest risk of post-discharge VTE. Methods Patients who underwent hepatectomy or pancreatectomy in the ACS-NSQIP Participant Use Files 2011–2015 were identified. Logistic regression modeling was used; a model to predict post-discharge VTE was developed. Model discrimination was tested using area under the curve (AUC). Results Among 48,860 patients, the overall 30-day incidence of VTE after hepatectomy and pancreatectomy was 3.2% (n = 1580) with 1.1% (n = 543) of VTE events occurring after discharge. Patients who developed post-discharge VTE were more likely to be white, had a higher median BMI, have undergone pancreatic surgery, had longer median operative times, and to have had a transfusion. A weighted prediction model demonstrated good calibration and fair discrimination (AUC = 0.63). A score of ≥−4.50 had maximum sensitivity and specificity, resulting in 44% of patients being treating with prophylaxis for an overall VTE risk of 1.1%. Conclusions Utilizing independent factors associated with post-discharge VTE, a prediction model was able to stratify patients according to risk of VTE and may help identify patients who are most likely to benefit from pharmacoprophylaxis.