• Paul Park, Michael Y Wang, Stacie Nguyen, Gregory M Mundis, Frank La Marca, Juan S Uribe, Neel Anand, David O Okonkwo, Adam S Kanter, Richard Fessler, Robert K Eastlack, Dean Chou, Vedat Deviren, Pierce D Nunley, Christopher I Shaffrey, Praveen V Mummaneni, and International Spine Study Group.
• Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan, USA. Electronic address: ppark@umich.edu.
• World Neurosurg. 2016 Mar 1; 87: 55-60.

ObjectiveObesity can be associated with increased complications and potentially worse outcomes. We aimed to evaluate the impact of obesity on complications and outcomes in patients with adult spinal deformity (ASD) who underwent minimally invasive surgery (MIS).MethodsA multicenter database of patients with ASD treated via MIS was queried. Of 190 patients in the database, 77 fit the inclusion criteria of 3 or more spinal levels treated minimally invasively. Patients were divided by body mass index (BMI) <30 (nonobese; n = 59) and BMI ≥ 30 (obese; n = 18).ResultsMean BMI was 24.6 nonobese and 35.0 obese (P < 0.001). There were mean 3.8 interbody fusions nonobese and 4.7 obese (P = 0.065). Levels treated posteriorly averaged 5.8 nonobese and 5.9 obese (P = 0.502). Mean follow-up was 34.4 months nonobese and 35.3 months obese (P = 0.976). Baseline radiographic parameters were similar between groups. Postoperatively, SVA averaged 83.9 mm obese and 20.4 mm nonobese (P = 0.002). Postoperative lumbar lordosis-pelvic incidence mismatch averaged 17.9° obese and 9.9° nonobese (P = 0.028). Both groups had improvement in Oswestry Disability Index (ODI) scores with no difference in postoperative ODI scores between groups (P = 0.090). Similarly, both groups had decreased VAS scores for back and leg pain with no difference between groups postoperatively. Twenty (33.9%) nonobese patients versus 7 (38.9%) obese patients had complications (P = 0.452).ConclusionsOur results suggest that obesity does not negatively impact complication rate or clinical outcomes in patients with ASD treated via MIS approaches.Copyright © 2016 Elsevier Inc. All rights reserved.

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