Background: Overlapping surgery is a long-standing practice that has not been well studied. The aim of this study was to assess whether overlapping surgery is associated with untoward outcomes for orthopaedic patients. Methods: Coarsened exact matching was used to assess the impact of overlap on outcomes among elective orthopaedic surgical interventions (n = 18,316) over 2 years (2014 and 2015) at 1 health-care system. Overlap was categorized as any overlap, and subcategories of exclusively beginning overlap and exclusively end overlap. Study subjects were matched on the Charlson comorbidity index score, duration of surgery, surgical costs, body mass index, length of stay, payer, and race, among others. Serious unanticipated events were studied. Results: A total of 3,395 patients had any overlap and were matched (a match rate of 90.8% of 3,738). For beginning and end overlap, matched groups were created, with a match rate of 95.2% of 1043 and 94.7% of 863, respectively. Among matched patients, any overlap did not predict an unanticipated return to surgery at 30 days (8.2% for any overlap and 8.3% for no overlap; p = 0.922) or 90 days (14.1% and 14.1%, respectively; p = 1.000). Patients who had surgery with any overlap demonstrated no difference compared with controls with respect to reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (a reoperation rate of 3.1% and 3.2%, respectively [p = 0.884] at 30 days and 4.2% and 3.5% [p = 0.173] at 90 days; a readmission rate of 10.3% and 11.0% [p = 0.352] at 30 days and 5.5% and 5.2% [p = 0.570] at 90 days; and an ER visit rate of 5.2% and 4.6% [p = 0.276] at 30 days and 4.8% and 4.3% [p = 0.304] at 90 days). Patients with surgical overlap showed reduced mortality compared with controls during follow-up (1.8% and 2.6%, respectively; p = 0.029). Patients with beginning and/or end overlap had a similar lack of association with serious unanticipated events; however, patients with end overlap showed an increased unexpected rate of return to the operating room after reoperation at 90 days (13.3% versus 9.7%; p = 0.015). Conclusions: Nonconcurrent overlapping surgery was not associated with adverse outcomes in a large, matched orthopaedic surgery population across 1 academic health system. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Background: This study used coarsened exact matching to investigate the effectiveness of the LACE+ index (i.e., length of stay, acuity of admission, Charlson Comorbidity Index, and emergency department visits in the past 6 months) predictive tool in patients undergoing plastic surgery. Methods: Coarsened exact matching was used to assess the predictive ability of the LACE+ index among plastic surgery patients over a 2-year period (2016 to 2018) at one health system (n = 5744). Subjects were matched on factors not included in the LACE+ index such as duration of surgery, body mass index, and race, among others. Outcomes studied included emergency room visits, hospital readmission, and unplanned return to the operating room. Results: Three hundred sixty-six patients were matched and compared for quarter 1 to quarter 4 (n = 732, a 28.2 percent match rate); 504 patients were matched for quarter 2 to quarter 4 (n = 1008, a 36.7 percent match rate); 615 patients were matched for quarter 3 to quarter 4 (n = 1230, a 44.8 percent match rate). Increased LACE+ score significantly predicted readmission within 30 days for quarter 1 versus quarter 4 (1.09 percent versus 4.37 percent; p = 0.019), quarter 2 versus quarter 4 (3.57 percent versus 7.34 percent; p = 0.008), and quarter 3 versus quarter 4 (5.04 percent versus 8.13 percent; p = 0.028). Higher LACE+ score also significantly predicted 30-day reoperation for quarter 3 versus quarter 4 (1.30 percent versus 3.90 percent; p = 0.003) and emergency room visits within 30 days for quarter 2 versus quarter 4 (3.17 percent versus 6.75 percent; p = 0.008). Conclusion: The results of this study demonstrate that the LACE+ index may be suitable as a prediction model for patient outcomes in a plastic surgery population. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, II.

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BACKGROUND Bundled care payment models are becoming more prevalent in neurosurgery. Such systems place the cost of postsurgical facilities in the hands of the discharging health system. Opportunity exists to leverage prediction tools for discharge disposition by identifying patients who will not benefit from prolonged hospitalization and facilitating discharge to post-acute care facilities. OBJECTIVE To validate the use of the Risk Assessment and Predictive Tool (RAPT) along with other clinical variables to predict discharge disposition in a cervical spine surgery population. METHODS Patients undergoing cervical spine surgery at our institution from June 2016 to February 2017 and over 50 yr old had demographic, surgical, and RAPT variables collected. Multivariable regression analyzed each variable's ability to predict discharge disposition. Backward selection was used to create a binomial model to predict discharge disposition. RESULTS A total of 263 patients were included in the study. Lower RAPT score, RAPT walk subcomponent, older age, and a posterior approach predicted discharge to a post-acute care facility compared to home. Lower RAPT also predicted an increased risk of readmission. RAPT score combined with age increased the predictive capability of discharge disposition to home vs skilled nursing facility or acute rehabilitation compared to RAPT alone (P < .001). CONCLUSION RAPT score combined with age is a useful tool in the cervical spine surgery population to predict postdischarge needs. This tool may be used to start early discharge planning in patients who are predicted to require post-acute care facilities. Such strategies may reduce postoperative utilization of inpatient resources.

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The relationship between social determinants of health (SDOH) and neurosurgical outcomes has become increasingly relevant. To date, results of prior work evaluating the impact of social determinants in neurosurgery have been mixed, and the need for robust data on this subject remains. The present review evaluates how gender, race, and socioeconomic status (SES) influence outcomes following various brain tumor resection procedures. Results from a number of prior studies from the senior author's lab are summarized, with all data acquired using the EpiLog tool (Epilog Laser). Separate analyses were performed for each procedure, evaluating the unique, isolated impact of gender, race, and SES on outcomes. A comprehensive literature review identified any prior studies evaluating the influence of these SDOH on neurosurgical outcomes. The review presented herein suggests that the effect of gender and race on outcomes is largely mitigated when equal access to care is attained, and socioeconomic factors and comorbidities are controlled for. Furthermore, when patients are matched upon for a number of clinically relevant covariates, SES impacts postoperative mortality. Elucidation of this disparity empowers surgeons to initiate actionable change to equilibrate future outcomes.

Objective: Assess the safety of overlapping surgery before implementation of new recommendations and regulations. Background: Overlapping surgery is a longstanding practice that has not been well studied. There remains a need to analyze data across institutions and specialties to draw well-informed conclusions regarding appropriate application of this practice. Methods: Coarsened exact matching was used to assess the impact of overlap on outcomes amongst all surgical interventions (n = 61,524) over 1 year (2014) at 1 health system. Overlap was categorized as: any, beginning, or end overlap. Study subjects were matched 1:1 on 11 variables. Serious unanticipated events were studied including unplanned return to operating room, readmission, and mortality. Results: In all, 8391 patients (13.6%) had any overlap and underwent coarsened exact matching. For beginning/end overlap, matched groups were created (total matched population N = 4534/3616 patients, respectively). Any overlap did not predict unanticipated return to surgery (9.8% any overlap vs 10.1% no overlap; P = 0.45). Further, any overlap did not predict an increase in reoperation, readmission, or emergency room (ER) visits at 30 or 90 days (30D reoperation 3.6% vs 3.7%; P = 0.83, 90D reoperation 3.8% vs 3.9%; P = 0.84) (30D readmission 9.9% vs 10.2%; P = 0.45, 90D readmissions 6.9% vs 7.0%; P = 0.90) (30D ER 5.4% vs 5.6%; P = 0.60, 90D ER 4.8% vs 4.7%; P = 0.71). In addition, any overlap was not associated with mortality over the surgical follow-up period (90D mortality 1.7% vs 2.1%; P = 0.06). Beginning/end overlap had results similar to any overlap. Conclusion: Overlapping, nonconcurrent surgery is not associated with an increase in reoperation, readmission, ER visits, or unanticipated return to surgery.