Ankit Chhoda, Marco Noriega, Tamara Kahan, Anabel Liyen-Cartelle, Kelsey Anderson, Shaharyar A. Zuberi, Miriam Olivares, Jill Kelly, Steven D. Freedman, Loren Rabinowitz, Sunil Sheth
{"title":"IMPACT OF GEOSPATIAL FOOD ACCESS ON ACUTE PANCREATITIS OUTCOMES","authors":"Ankit Chhoda, Marco Noriega, Tamara Kahan, Anabel Liyen-Cartelle, Kelsey Anderson, Shaharyar A. Zuberi, Miriam Olivares, Jill Kelly, Steven D. Freedman, Loren Rabinowitz, Sunil Sheth","doi":"10.1101/2024.02.27.24303446","DOIUrl":null,"url":null,"abstract":"BACKGROUND AND AIM: Food access is an important social determinant of health and refers to geographical and infrastructural aspects of food availability. Using publicly available data on food access from the United States Department of Agriculture (USDA), geospatial analyses can identify regions with variable food access, which may impact acute pancreatitis (AP), an acute inflammatory condition characterized by unpredictable outcomes and substantial mortality. This study aimed to investigate the association of clinical outcomes in patients with AP with geospatial food access.\nMETHODS: We examined AP-related hospitalizations at a tertiary center from January 2008 to December 2018. The physical addresses were geocoded through ArcGIS Pro2.7.0 (ESRI, Redlands, CA). USDA Food Access Research Atlas defined low food access as urban areas with 33% or more of the population residing over one mile from the nearest food source. Regression analyses enabled assessment of the association between AP outcomes and food access.\nRESULTS: The study included 772 unique patients with AP residing in Massachusetts with 931 AP-related hospitalizations. One hundred and ninety-eight (25.6%) patients resided in census tracts with normal urban food access and 574 (74.4%) patients resided in tracts with low food access. AP severity per revised Atlanta classification [OR: 1.88 (95%CI: 1.21-2.92); p=0.005], and 30-day AP-related readmission [OR: 1.78(95%CI: 1.11-2.86); p=0.02] had significant association with food access, despite adjustment for demographics, healthcare behaviors, and comorbidities (Charlson Comorbidity Index). However, food access lacked significant association with AP-related mortality (p=0.40) and length of stay (LOS: p=0.99).\nCONCLUSION: Low food access had a significant association with 30-day AP-related readmissions and AP severity. However, mortality and LOS lacked significant association with food access. The association between nutrition, lifestyle, and AP outcomes warrants further prospective investigation.","PeriodicalId":501258,"journal":{"name":"medRxiv - Gastroenterology","volume":"28 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Gastroenterology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.02.27.24303446","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
BACKGROUND AND AIM: Food access is an important social determinant of health and refers to geographical and infrastructural aspects of food availability. Using publicly available data on food access from the United States Department of Agriculture (USDA), geospatial analyses can identify regions with variable food access, which may impact acute pancreatitis (AP), an acute inflammatory condition characterized by unpredictable outcomes and substantial mortality. This study aimed to investigate the association of clinical outcomes in patients with AP with geospatial food access.
METHODS: We examined AP-related hospitalizations at a tertiary center from January 2008 to December 2018. The physical addresses were geocoded through ArcGIS Pro2.7.0 (ESRI, Redlands, CA). USDA Food Access Research Atlas defined low food access as urban areas with 33% or more of the population residing over one mile from the nearest food source. Regression analyses enabled assessment of the association between AP outcomes and food access.
RESULTS: The study included 772 unique patients with AP residing in Massachusetts with 931 AP-related hospitalizations. One hundred and ninety-eight (25.6%) patients resided in census tracts with normal urban food access and 574 (74.4%) patients resided in tracts with low food access. AP severity per revised Atlanta classification [OR: 1.88 (95%CI: 1.21-2.92); p=0.005], and 30-day AP-related readmission [OR: 1.78(95%CI: 1.11-2.86); p=0.02] had significant association with food access, despite adjustment for demographics, healthcare behaviors, and comorbidities (Charlson Comorbidity Index). However, food access lacked significant association with AP-related mortality (p=0.40) and length of stay (LOS: p=0.99).
CONCLUSION: Low food access had a significant association with 30-day AP-related readmissions and AP severity. However, mortality and LOS lacked significant association with food access. The association between nutrition, lifestyle, and AP outcomes warrants further prospective investigation.