Lower extremity venous insufficiency is one of the most common vascular disorders in adults.1 Several minimally invasive treatment modalities have been developed for the treatment of venous varicosities. While serious postoperative complications are rare following treatment, this study attempts to identify preoperative patient risk factors for acute postprocedural adverse outcomes. This was a retrospective analysis of the National Surgical Quality Improvement Program (ACS-NSQIP) database between 2014-2017 for patients undergoing endovascular venous insufficiency treatment. Patients were included based on CPT codes. Descriptive analysis was performed. Multivariate logistic regression models were employed to identify risk factors for adverse patient outcomes. 9,704 patients met the inclusion criteria for the study. 6,262 (64.5%) were female, 7,019 (76.9%) white, 1,182 (12.2%) were morbidly obese, 4,662 (48%) age >55 years, 1,039 (10.7%) diabetic, 1,092 (11.3%) smoked, 267 (2.8%) reported dyspnea, 200 (2.1%) had pulmonary comorbidities, 3,375 (34.8%) had cardiac comorbidities, 26 (0.3%) had renal comorbidities, 601 (6.2%) had an open wound, 189 (1.9%) reported chronic steroid use, 10 (0.1%) reported recent weight loss, 361 (3.7%) reported bleeding disorder, 6,832 (70.4%) were ASA class 1-2, and 4,692 (48.4%) had procedure time >53 min. Postoperatively, 295 (3%) had hospital LOS >0 days, 139 (1.4%) had DVT, and 134 (1.4%) had a readmission. Other adverse postoperative outcomes were rare. Multivariate logistic regression found patients who identify as Black (OR = 3.007, 2.022-4.470), age >55 years (OR = 1.332, 1.012-1.753, P = 0.041), open wound (OR = 4.306, 3.121-5.940), bleeding disorder (OR = 1.877, 1.215-2.900, P = 0.005), ASA class 3-5 (OR = 2.024, 1.515-2.703), and prolonged procedure time (OR = 2.669, 2.017-3.530) as risk factors for prolonged hospital LOS. P <0.001 unless otherwise noted. While adverse events following endovascular venous insufficiency treatment are rare, several important risk factors have been identified and can be used for risk stratification preprocedurally.
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