Author:
Chhoda Ankit,Liyen-Cartelle Anabel,Noriega Marco,Anderson Kelsey,Zuberi Shaharyar A.,Sur Alana,Olivares Miriam,Kelly Jill,Freedman Steven D.,Rabinowitz Loren G.,Sheth Sunil G.
Abstract
ABSTRACTBACKGROUND AND AIMGeospatial analyses integrate location-based sociodemographic data, offering a promising approach to investigate the impact of social determinants on acute pancreatitis (AP) outcomes. This study aimed to examine the association of social vulnerability index (SVI) and its constituent 16 attributes in 4 domains (socioeconomic status, household composition and disability, minority status and language, and housing type and transportation), with outcomes of patients with AP.METHODSThis study included AP patients hospitalized between 1/1/2008 and 12/31/2018 and recorded their demographics and clinical outcomes. Physical addresses were geocoded to determine SVI, a composite variable which was ranked and divided into quartiles (I to IV: IV representing the highest vulnerability).RESULTIn 824 patients [age of 53.0±10 years and 48.2% females], with 993 AP-related hospitalizations, we noted significantly higher prevalence of no/federal/state insurance(P<0.001)and racial minorities(P<0.001)in patients residing in communities with higher SVI. A non-significant trend of higher 30-day admission rate amongst patients from higher SVI regions (III/IV: 27(18.0%)/31(18.9%)vs.I/II: 40(13.8%)/36(16.3%);p=0.49) was noted. We observed a significant association of alcohol withdrawal with residence in areas with higher SVI despite adjustment for age, body mass index, and comorbidities (OR:1.62[95%CI:1.19-2.22];p=0.003). However, we observed no association of SVI with severity of AP, inpatient opioid use, length of stay, and mortality.CONCLUSIONWe noted significantly higher alcohol withdrawal in patients residing in areas with higher SVI ranks although AP severity and other outcomes lacked significant association with SVI. Given our findings further investigation of various social determinants of health in AP is warranted in large sized prospective studies.
Publisher
Cold Spring Harbor Laboratory