Identification of a Risk Profile for New-Onset Diabetes After Acute Pancreatitis

Pancreas. 2021 May-Jun;50(5):696-703. doi: 10.1097/MPA.0000000000001818.

Abstract

Objectives: There is a paucity of studies evaluating predictors of new-onset diabetes mellitus (DM) after acute pancreatitis (AP-related DM). We used a population-based database to evaluate predictors of AP-related DM.

Methods: The Nationwide Readmissions Database (2010-2014) was used to identify all nondiabetic adults with an index primary diagnosis of AP. Multiple exclusions were applied to identify cohorts with and without AP-related DM. A case-control study was conducted to identify risk factors for developing AP-related DM within the calendar year.

Results: We identified 2510 subjects with AP-related DM and 40,308 controls with AP who did not develop DM. Multivariable analysis revealed that increasing age (50-64 years; adjusted odds ratio [aOR], 1.35; 95% confidence interval [CI], 1.14-1.60), male sex (aOR, 1.2; 95% CI, 1.03-1.40), lowest income quartile (aOR, 1.48; 95% CI, 1.18-1.84), Elixhauser comorbidity index of 3 or higher (aOR, 1.47; 95% CI, 1.23-1.75), components of metabolic syndrome (aOR, 2.12; 95% CI, 1.21-3.70), severe AP (aOR, 1.60; 95% CI, 1.34-1.90), and recurrent AP (aOR, 1.46; 95% CI, 1.24-1.72) were independently associated with increased risk of AP-related DM.

Conclusions: These population-level variables predictive of developing AP-related DM can potentially identify patients who may benefit from closer follow-up, intensive education, and implementation of preventative strategies.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Comorbidity
  • Databases, Factual
  • Diabetes Mellitus / diagnosis
  • Diabetes Mellitus / epidemiology*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pancreatitis / diagnosis
  • Pancreatitis / epidemiology*
  • Patient Readmission
  • Prognosis
  • Recurrence
  • Retrospective Studies
  • Risk Assessment
  • Risk Factors
  • Time Factors
  • United States / epidemiology
  • Young Adult