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Analyzing the Social Vulnerability Index With Metabolic Surgery.
Mathai, Samuel K; Garofalo, Denise M; Myers, Quintin W; Heron, Charlotte H; Clair, Victoria S; Bonner, India; Dyas, Adam R; Velopulos, Catherine G; Hazel, Kweku.
Affiliation
  • Mathai SK; University of Colorado School of Medicine, Aurora, Colorado. Electronic address: samuel.mathai@CUAnschutz.edu.
  • Garofalo DM; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Myers QW; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Heron CH; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Clair VS; University of Colorado School of Medicine, Aurora, Colorado.
  • Bonner I; University of Colorado School of Medicine, Aurora, Colorado.
  • Dyas AR; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Velopulos CG; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
  • Hazel K; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
J Surg Res ; 303: 164-172, 2024 Oct 01.
Article in En | MEDLINE | ID: mdl-39357347
ABSTRACT

INTRODUCTION:

The social vulnerability index (SVI) is a census tract-level population-based measure generated from 16 socioeconomic and demographic variables on a scale from 1 (least) to 100 (most) vulnerable. This study has three objectives as follows 1) to analyze multiple ways of utilizing SVI, 2) compare SVI as a group measure of marginalization to individual markers, and 3) to understand how SVI is associated with choice of surgery in metabolic surgery.

METHODS:

We retrospectively identified adults undergoing Roux-en-Y gastric bypass and gastric sleeve in 2013-2018 National Surgical Quality Improvement Program data from a single academic center. High SVI was defined as >75th percentile. Low SVI was coded as <75th percentile in measure 1 and < 25th percentile in measure 2. Chi-square and Mann-Whitney U tests were utilized for categorical and continuous variables, respectively. Multivariable regression models were performed comparing SVI to marginalized status as a predictor for type of metabolic surgery.

RESULTS:

We identified 436 patients undergoing metabolic surgery, with a low overall morbidity (6.1%). Complication and readmission rates were similar across comparator groups. The logistic regression models had similar area under the curve, supporting SVI as a proxy for individual measures of marginalization.

CONCLUSIONS:

SVI performed as well as marginalized status in predicting preoperative risk. This suggests the validity of using SVI to identify high risk patients. By providing a single, quantitative score encompassing many social determinants of health, SVI is a useful tool in identifying patients facing the greatest health disparities.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Surg Res Year: 2024 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Surg Res Year: 2024 Type: Article