Association Between Body Composition Measured by Artificial Intelligence and Long-Term Sequelae After Acute Pancreatitis

Dig Dis Sci. 2024 Nov;69(11):4290-4301. doi: 10.1007/s10620-024-08684-3. Epub 2024 Oct 22.

Abstract

Background/objectives: The clinical utility of body composition in the development of complications of acute pancreatitis (AP) remains unclear. We aimed to describe the associations between body composition and the recurrence of AP.

Methods: We performed a retrospective study of patients hospitalized with AP at three tertiary care centers. Patients with computer tomography (CT) imaging of the abdomen at admission were included. A previously validated and fully automated abdominal segmentation algorithm was used for body composition analysis. Hospitalization for a recurrent episode of AP was the primary endpoint. Secondary endpoints included the development of chronic pancreatitis (CP) or diabetes mellitus (DM) in patients who were evaluated. Cox Proportional Hazards regression was used.

Results: From a total of 347 patients, 89 (25.6%) were hospitalized for recurrent AP (median time: 219 days). Thirty-four of 112 patients (30.4%) developed CP (median time: 311 days) and 22 of 88 (25.0%) developed DM (median time: 1104 days). After adjusting for age, male sex, first episode of AP, BUN, and severity of AP, we found that obesity, body mass index, alcohol pancreatitis, and gallstone pancreatitis were significantly associated with a recurrent episode of AP. Body composition was not associated with recurrent AP. In unadjusted analysis, subcutaneous adipose tissue (SAT) (HR 0.87 per 10 cm2, p = 0.002) was associated with CP. Skeletal muscle (SM) mass approached significance for CP (p = 0.0546). Intermuscular adipose tissue (IMAT) (HR 1.45 per 5 cm2, p = 0.0264) was associated with DM.

Conclusion: Body composition was not associated with having a recurrent AP. At follow-up, 30% and 25% of evaluated patients developed CP and DM, respectively. A higher SAT and IMAT were associated with a lower incidence of CP and higher incidence of DM, respectively.

Keywords: Artificial intelligence; Body composition; Chronic pancreatitis; Recurrent acute pancreatitis.

Publication types

  • Multicenter Study

MeSH terms

  • Acute Disease
  • Adult
  • Aged
  • Artificial Intelligence*
  • Body Composition*
  • Diabetes Mellitus / epidemiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pancreatitis* / diagnostic imaging
  • Pancreatitis* / epidemiology
  • Pancreatitis* / etiology
  • Pancreatitis, Chronic / complications
  • Pancreatitis, Chronic / diagnostic imaging
  • Recurrence*
  • Retrospective Studies
  • Risk Factors
  • Tomography, X-Ray Computed