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Background: Surgical site complications (SSCs) can have serious and life-threatening consequences for patients; however, their frequency and impact on healthcare utilization across surgical procedures, particularly for non-infectious SSCs, are unknown. This study examined incidence of overall SSCs and non-infectious SSCs in patients undergoing open surgical procedures in the United States and their effect on length of stay (LOS) and costs., Methods: This retrospective study utilizing 2019-2020 data from Medicare and Premier Health Database identified patients with SSCs during hospitalization or within 90 days of discharge. Propensity score matching was used to calculate incremental LOS and costs attributable to SSCs. Mean LOS and costs attributable to SSCs for the index admission, readmissions, and outpatient visits were summed by procedure and Charlson Comorbidity Index score to estimate the overall impact of an SSC on LOS and costs across healthcare settings., Results: Overall and non-infectious SSC rates were 7.3 % and 5.3 % respectively for 2,696,986 Medicare and 6.7 % and 5.0 % for 1,846,254 Premier open surgeries. Total incremental LOS and cost per SSC were 7.8 days and $15,339 for Medicare patients and 6.2 days and $17,196 for Premier patients. Incremental LOS and cost attributable to non-infectious SSCs were 6.5 days and $12,703 and 5.2 days and $14,477 for Medicare and Premier patients respectively., Conclusions: This study utilizing two large national databases provides strong evidence that SSCs, particularly non-infectious SSCs, are not uncommon in open surgeries and result in increased healthcare utilization and costs. These findings demonstrate the need for increased adoption of evidence-based interventions that can reduce SSC rates., Competing Interests: Yuefeng Hou, Ashley Collinsworth, Flutura Hasa, and Leah Griffin are employees of 3M., (© 2023 The Authors.)

Background: Surgical site infection (SSI) after open spine surgery increases healthcare costs and patient morbidity. Predictive analytics using large databases can be used to develop prediction tools to aid surgeons in identifying high-risk patients and strategies for optimization. The purpose of this study was to develop and validate an SSI risk-assessment score for patients undergoing open spine surgery., Methods: The Premier Healthcare Database of adult open spine surgery patients ( n  = 157,664; 2,650 SSIs) was used to create an SSI risk scoring system using mixed effects logistic regression modeling. Full and reduced multilevel logistic regression models were developed using patient, surgery or facility predictors. The full model used 38 predictors and the reduced used 16 predictors. The resulting risk score was the sum of points assigned to 16 predictors., Results: The reduced model showed good discriminatory capability (C-statistic = 0.75) and good fit of the model ([Pearson Chi-square/DF] = 0.90, CAIC=25,517) compared to the full model (C-statistic = 0.75, [Pearson Chi-square/DF] =0.90, CAIC=25,578). The risk scoring system, based on the reduced model, included the following: female (5 points), hypertension (4), blood disorder (8), peripheral vascular disease (9), chronic pulmonary disease (6), rheumatic disease (16), obesity (12), nicotine dependence (5), Charlson Comorbidity Index (2 per point), revision surgery (14), number of ICD-10 procedures (1 per procedure), operative time (1 per hour), and emergency/urgent surgery (12). A final risk score as the sum of the points for each surgery was validated using a 1,000-surgery random hold-out (independent from the study cohort) sample (C-statistic = 0.77)., Conclusions: The resulting SSI risk score composed of readily obtainable clinical information could serve as a strong prediction tool for SSI in preoperative settings when open spine surgery is considered., Competing Interests: One or more authors declare potential competing financial interests or personal relationships as specified on required ICMJE-NASSJ Disclosure Forms., (© 2022 Published by Elsevier Ltd on behalf of North American Spine Society.)

Background: Surgical site infections (SSIs) are associated with increased morbidity and mortality; however, current SSI rates across open procedures and their effect on healthcare delivery are unknown. The objective of this study was to examine incidence of SSIs for open surgical procedures in the United States and impact on length of stay (LOS) and costs ., Methods: This retrospective study utilizing 2019-2020 data from Medicare and Premier identified patients with SSIs occurring during hospitalization or within 90 days of discharge. Propensity score matching was used to calculate incremental LOS and costs attributable to SSIs. Mean LOS and costs attributable to SSIs for the index admission, readmissions, and outpatient visits were summed by procedure and Charlson Comorbidity Index score to estimate the overall impact of an SSI on LOS and costs across healthcare settings., Results: SSI rates were 2.0% for 2,696,986 Medicare and 1.8% for 1,846,254 Premier open surgeries. Total incremental LOS and cost per SSI, including index admission, readmissions, and outpatient visits were 9.3 days and $18,626 for Medicare patients and 7.8 days and $20,979 for Premier patients. SSI rates were higher for urgent/emergency surgeries compared to overall SSI rates. Although less common that superficial SSIs, deep SSIs resulted in higher incremental LOS and index costs for the index admission and for SSI-related readmissions., Conclusions: This study of SSIs utilizing two large national databases provides robust data and analytics reinforcing and bolstering current evidence that SSIs occur infrequently but are detrimental to patients in terms of increased LOS and care costs., Competing Interests: Y Hou, A Collinsworth, F Hasa, and L Griffin are employees of 3M., (© 2022 The Authors.)