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

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

Pedro Cortés  1   2 , Tyler Mistretta  2 , Brittany Jackson  2 , Caroline G Olson  2 , Ahmed M Salih  3 , Fernando F Stancampiano  2 , Panagiotis Korfiatis  4 , Jason R Klug  4 , Dana M Harris  2 , JDan Echols  2 , Rickey E Carter  5 , Baoan Ji  6 , Heather D Hardway  5 , Michael B Wallace  7 , Vivek Kumbhari  7 , Yan Bi  8
Affiliations
Multicenter Study

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

Pedro Cortés et al. Dig Dis Sci. 2024 Nov.

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.

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Conflict of interest statement

Declarations Competing interest PC, TM, BJ, CGO, AMS, FFS, PK, JRK, DMH, JDE, REC, BJ, HDH, MBW, VK, and YB declare that they have no conflicts of interest. Ethical approval This retrospective chart review study involving human participants was in accordance with the ethical standards of the institutional and national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The Human Investigation Committee (IRB) of Mayo Clinic approved this study. Writing assistance There was no writing assistance for this manuscript. Disclaimer An abstract of this manuscript was accepted as a poster presentation for the American College of Gastroenterology 2023 conference in Vancouver, Canada. The abstract title is “Association Between Body Composition Measured by Artificial Intelligence and the Long-Term Sequelae After Acute Pancreatitis.”

References

    1. Bogan BD, McGuire SP, Maatman TK. Readmission in acute pancreatitis: etiology, risk factors, and opportunities for improvement. Surg Open Sci. 2022;10:232–237. - DOI - PubMed - PMC
    1. Cortés P, Raimondo M, Wallace MB, Bi Y. The role of endoscopic ultrasound and magnetic resonance cholangiopancreatography in the diagnosis of idiopathic recurrent acute pancreatitis: a narrative review. Dig Med Res. 2021;4:69. - DOI
    1. Forsmark CE. Management of chronic pancreatitis. Gastroenterology. 2013;144:1282-1291.e1283. - DOI - PubMed
    1. Weston AD, Korfiatis P, Kline TL et al. Automated abdominal segmentation of CT scans for body composition analysis using deep learning. Radiology. 2019;290:669–679. - DOI - PubMed
    1. Fleming CA, O’Connell EP, Kavanagh RG et al. Body composition, inflammation, and 5-year outcomes in colon cancer. JAMA Netw Open. 2021;4:e2115274. - DOI

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