Journal article
Community-level Socioeconomic Status Is a Poor Predictor of Outcomes Following Lumbar and Cervical Spine Surgery
Clinical spine surgery, v 38(3), pp 132-140
01 Apr 2025
PMID: 39652626
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Study Design: Retrospective Cohort study. Objective: Our objective was to compare 3 socioeconomic status (SES) indexes and evaluate associations with outcomes after anterior cervical discectomy and fusion (ACDF) or lumbar fusion. Background Data: Socioeconomic disparities affect patients' baseline health and clinical outcomes following spine surgery. It is still unclear whether community-level indexes are accurate surrogates for patients' socioeconomic status (SES) and whether they are predictive of postoperative outcomes. Methods: Adult patients undergoing ACDF (N=1189) or lumbar fusion (N=1136) from 2014 to 2020 at an urban tertiary medical center were retrospectively identified. Patient characteristics, patient-reported outcomes (PROMs), and surgical outcomes (90-day readmissions, complications, and nonhome discharge) were collected from the electronic medical record. SES was extracted from 3 indexes (Area Deprivation Index, Social Vulnerability Index, and Distressed Communities Index). Patients were classified into SES quartiles for bivariate and multivariate regression analysis. We utilized Youden's index to construct receiver operating characteristic curves for all surgical outcomes using indexes as continuous variables. Results: Preoperatively, lumbar fusion patients in the poorest ADI community exhibited the greatest ODI (P=0.001) and in the poorest DCI and SVI communities exhibited worse VAS back (P<0.001 and 0.002, respectively). Preoperatively, ACDF patients in the lowest DCI community had significantly worse MCS-12, VAS neck, and NDI, and in the poorest ADI community had worse MCS-12 and NDI. There were no differences in the magnitude of improvement for any PROM. All indexes performed poorly at predicting surgical outcomes (AUC: 0.467-0.636, all P>0.05). Conclusions: Community-wide SES indexes are not accurate proxies for individual SES. While patients from poorer communities present with worse symptoms, community-level SES is not associated with overall outcomes following spine fusion. Patient-specific factors should be employed when attempting to stratify patients based on SES given the inherent limitations present with these indexes.
Metrics
1 Record Views
Details
- Title
- Community-level Socioeconomic Status Is a Poor Predictor of Outcomes Following Lumbar and Cervical Spine Surgery
- Creators
- Mark J. Lambrechts - Washington University in St. LouisTariq Z. Issa - Thomas Jefferson University HospitalYunsoo Lee - Thomas Jefferson University HospitalMichael A. Mccurdy - Thomas Jefferson University HospitalNicholas Siegel - Thomas Jefferson University HospitalGregory R. Toci - Thomas Jefferson University HospitalMatthew Sherman - Rothman OrthopaedicsSydney Baker - Thomas Jefferson University HospitalAlexander Becsey - Drexel UniversityAlexander Christianson - Thomas Jefferson University HospitalRuchir Nanavati - Rowan UniversityJose A. Canseco - Thomas Jefferson University HospitalAlan S. Hilibrand - Thomas Jefferson University HospitalAlexander R. Vaccaro - Rothman OrthopaedicsGregory D. Schroeder - Thomas Jefferson University HospitalChristopher K. Kepler - Thomas Jefferson University Hospital
- Publication Details
- Clinical spine surgery, v 38(3), pp 132-140
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 9
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- College of Medicine
- Web of Science ID
- WOS:001452509700016
- Scopus ID
- 2-s2.0-85212075617
- Other Identifier
- 991022197303204721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Clinical Neurology
- Orthopedics