Predicting the Risk of Postoperative Respiratory Failure in Elective Abdominal and Vascular Operations Using the National Surgical Quality Improvement Program (NSQIP) Participant Use Data File.

OBJECTIVE: This study aims to develop a Respiratory Failure Risk Score (RFRS) with good predictability for elective abdominal and vascular patients to be used in the outpatient setting for risk stratification and to guide preoperative pulmonary optimization. SUMMARY BACKGROUND DATA: Postoperative respiratory failure (RF), defined as ventilator dependency for more than 48 hours or unplanned reintubation within 30 days, is associated with increased mortality and hospital costs. Many tools have been previously described for risk stratification, but few target elective surgical candidates. METHODS: Our training sample included patients undergoing inpatient, nonemergent general and vascular procedures sampled for the American College of Surgeon National Surgical Quality Improvement Program 2012 Participant Use File. Multivariable logistic regression identified independent preoperative risk factors associated with RF, used to derive a weighted RFRS. We then determined goodness-of-fit and optimal cutoff values through receiver operator characteristic analysis and Youden indices to evaluate internal and external validity with a retrospective institutional validation sample (2013 and 2014). RESULTS: Multivariable analysis of 151,700 patients from the National Surgical Quality Improvement Program Participant Use File identified 12 variables independently associated with RF. The RFRS showed good external prediction in the validation sample with a c-statistic of 0.73 (95% confidence interval, 0.68-0.79). With the highest Youden index, 30 was determined to be the optimal cutoff value with a sensitivity 0.62 and specificity of 0.75. Additional cutoff values of 15 and 40 optimized sensitivity (>0.80) and specificity (>0.80), respectively. CONCLUSIONS: In the preoperative setting, the RFRS can effectively stratify patients into low (<15), moderate low (15-29), moderate high (30-39), and high risk (>39) to assist in patient counseling and guide application of perioperative pulmonary optimization measures.

Reducing colorectal surgical site infections: a novel, resident-driven, quality initiative.

BACKGROUND: Surgical site infections (SSIs) cause significant patient morbidity and increase costs. This work prospectively examines our institutional effort to reduce SSIs through a resident-driven quality initiative. METHODS: A general surgery resident-championed, evidenced-based care bundle for patients undergoing colorectal surgery at a single academic institution was developed using attending mentorship. National Surgical Quality Improvement Program definitions for SSIs were used. Data were collected prospectively and bundle compliance was monitored using a checklist. The primary outcome compared SSIs before and after implementation. RESULTS: In the 2 years preceding standardization, 489 colorectal surgery cases were performed. SSIs occurred in 68 patients (13.9% SSI rate). Following implementation of the bundle, 212 cases were performed with 10 SSIs (4.7% SSI rate, P < .01). Multivariate logistic regression analysis found a decrease in superficial and overall SSIs (odds ratio .17, 95% confidence interval .05 to .59; odds ratio .31, 95% confidence interval .14 to .68). CONCLUSIONS: These data demonstrate that resident-driven initiatives to improve quality of care can be a swift and effective way to enact change. We observed significantly decreased SSIs with a renewed focus on evidence-based, standardized patient care.