4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Social Vulnerability Subtheme Analysis Improves Perioperative Risk Stratification in Hepatopancreatic Surgery

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          There has been increased interest in understanding how social determinants of health (SDH) may affect care both in the medical and surgical setting. We sought to define the impact of various aspects of social vulnerability on the ability of patients to achieve a “textbook outcome” (TO) following hepatopancreatic surgery.

          Methods

          Medicare beneficiaries who underwent hepatopancreatic resection between 2013 and 2017 were identified using the Medicare database. Social vulnerability was defined using the Centers for Disease Control Social Vulnerability Index (SVI), which is comprised of four subthemes: socioeconomic (SE), household composition and disability (HCD), minority status and language (MSL), and housing type and transportation (HTT). TO was defined as the composite endpoint: absence of 90-day mortality or readmission, absence of an extended length of stay (LOS), and no complications during the index admission. Cluster analysis was used to identify vulnerability cohorts, and multivariable logistic regression was utilized to assess the impact of these SVI subthemes on the likelihood to achieve a textbook outcome.

          Results

          Among 37,707 Medicare beneficiaries, 64.9% ( n = 24,462) of patients underwent pancreatic resection while 35.1% ( n = 13,245) underwent hepatic resection. Median patient age was 72 years (IQR: 68–77), just over one-half were male (51.9%; n = 19,558), and the median CCI was 3 (IQR: 2–8). Cluster analysis revealed five distinct SVI profiles with wide variability in the distribution of SVI subthemes, ranging from 15 (profile 1 IQR: 7–26) to 83 (profile 5 IQR: 66–93). The five profiles were grouped into 3 categories based on median composite SVI: “low vulnerability” (profile 1), “average vulnerability” (profiles 2 and 3), or “high vulnerability” (profiles 4 and 5). The rate of TO ranged from 44.6% in profile 5 ( n = 4022) to 49.2% in profile 1 ( n = 4836). Multivariable analyses comparing patients categorized into the two average SVI profiles revealed that despite having similar composite SVI scores, the risk of adverse postoperative outcomes was not similar. Specifically, patients from profile 5 had lower odds of achieving a TO (OR 0.89, 95%CI: 0.83–0.95) and higher odds of 90-day mortality (OR 1.29, 95%CI: 1.15–1.44) versus patients in profile 4.

          Conclusion

          Distinct profiles of SVI subtheme characteristics were independently associated with postoperative outcomes among Medicare beneficiaries undergoing HP surgery, even among patients with similar overall composite SVI scores.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s11605-022-05245-9.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

          Implementation of the International Statistical Classification of Disease and Related Health Problems, 10th Revision (ICD-10) coding system presents challenges for using administrative data. Recognizing this, we conducted a multistep process to develop ICD-10 coding algorithms to define Charlson and Elixhauser comorbidities in administrative data and assess the performance of the resulting algorithms. ICD-10 coding algorithms were developed by "translation" of the ICD-9-CM codes constituting Deyo's (for Charlson comorbidities) and Elixhauser's coding algorithms and by physicians' assessment of the face-validity of selected ICD-10 codes. The process of carefully developing ICD-10 algorithms also produced modified and enhanced ICD-9-CM coding algorithms for the Charlson and Elixhauser comorbidities. We then used data on in-patients aged 18 years and older in ICD-9-CM and ICD-10 administrative hospital discharge data from a Canadian health region to assess the comorbidity frequencies and mortality prediction achieved by the original ICD-9-CM algorithms, the enhanced ICD-9-CM algorithms, and the new ICD-10 coding algorithms. Among 56,585 patients in the ICD-9-CM data and 58,805 patients in the ICD-10 data, frequencies of the 17 Charlson comorbidities and the 30 Elixhauser comorbidities remained generally similar across algorithms. The new ICD-10 and enhanced ICD-9-CM coding algorithms either matched or outperformed the original Deyo and Elixhauser ICD-9-CM coding algorithms in predicting in-hospital mortality. The C-statistic was 0.842 for Deyo's ICD-9-CM coding algorithm, 0.860 for the ICD-10 coding algorithm, and 0.859 for the enhanced ICD-9-CM coding algorithm, 0.868 for the original Elixhauser ICD-9-CM coding algorithm, 0.870 for the ICD-10 coding algorithm and 0.878 for the enhanced ICD-9-CM coding algorithm. These newly developed ICD-10 and ICD-9-CM comorbidity coding algorithms produce similar estimates of comorbidity prevalence in administrative data, and may outperform existing ICD-9-CM coding algorithms.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease

            Circulation
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The Social Determinants of Health: It's Time to Consider the Causes of the Causes

                Bookmark

                Author and article information

                Contributors
                tim.pawlik@osumc.edu
                Journal
                J Gastrointest Surg
                J Gastrointest Surg
                Journal of Gastrointestinal Surgery
                Springer US (New York )
                1091-255X
                1873-4626
                12 January 2022
                : 1-7
                Affiliations
                GRID grid.412332.5, ISNI 0000 0001 1545 0811, The Ohio State University Wexner Medical Center, The James Comprehensive Cancer Center, ; Columbus, OH USA
                Article
                5245
                10.1007/s11605-022-05245-9
                8754363
                35023035
                6cbd2d87-0435-45c4-9831-d2d125589b72
                © The Society for Surgery of the Alimentary Tract 2022

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 17 September 2021
                : 1 January 2022
                Categories
                Original Article

                Surgery
                social vulnerability,textbook outcome,hepatopancreatic surgery,social determinants of health

                Comments

                Comment on this article