دورية أكاديمية
أعرض في EDS

Predictive Insights Into Exocrine Pancreatic Insufficiency in Chronic Pancreatitis and Autoimmune Pancreatitis: A Decision Tree Approach.

التفاصيل البيبلوغرافية
العنوان: Predictive Insights Into Exocrine Pancreatic Insufficiency in Chronic Pancreatitis and Autoimmune Pancreatitis: A Decision Tree Approach.
المؤلفون: Tanaka T; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Kimura T, Wakabayashi SI; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Okamura T; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Shigeto S; Department of Laboratory Medicine, Shinshu University Hospital., Tanaka N, Kondo S; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Horiuchi I; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Kuraishi Y; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Nakamura A; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Ashihara N, Kanai K; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Nagaya T; From the Department of Medicine, Division of Gastroenterology and Hepatology, Shinshu University School of Medicine., Watanabe T; Japan Red Cross Iiyama Hospital, Iiyama, Japan., Umemura T
المصدر: Pancreas [Pancreas] 2024 Mar 01; Vol. 53 (3), pp. e227-e232. Date of Electronic Publication: 2024 Jan 25.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 8608542 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-4828 (Electronic) Linking ISSN: 08853177 NLM ISO Abbreviation: Pancreas Subsets: MEDLINE
أسماء مطبوعة: Publication: Hagerstown, MD : Lippincott Williams & Wilkins
Original Publication: [New York, N.Y.] : Raven Press, [c1986-
مواضيع طبية MeSH: Autoimmune Pancreatitis*/complications , Autoimmune Pancreatitis*/diagnosis , Pancreatitis, Chronic*/complications , Pancreatitis, Chronic*/diagnosis , Exocrine Pancreatic Insufficiency*/diagnosis , Exocrine Pancreatic Insufficiency*/etiology, Humans ; Retrospective Studies ; Decision Trees
مستخلص: Objective: Exocrine pancreatic insufficiency (EPI) is a common manifestation of chronic pancreatitis (CP) and autoimmune pancreatitis (AIP). This study aimed to estimate the presence of EPI in patients with CP or AIP using alternative clinical markers.
Materials and Methods: A machine learning analysis employing a decision tree model was conducted on a retrospective training cohort comprising 57 patients with CP or AIP to identify EPI, defined as fecal elastase-1 levels less than 200 μg/g. The outcomes were then confirmed in a validation cohort of 26 patients.
Results: Thirty-nine patients (68%) exhibited EPI in the training cohort. The decision tree algorithm revealed body mass index (≤21.378 kg/m 2 ) and total protein level (≤7.15 g/dL) as key variables for identifying EPI. The algorithm's performance was assessed using 5-fold cross-validation, yielding area under the receiver operating characteristic curve values of 0.890, 0.875, 0.750, 0.625, and 0.771, respectively. The results from the validation cohort closely replicated those in the training cohort.
Conclusions: Decision tree analysis revealed that EPI in patients with CP or AIP can be identified based on body mass index and total protein. These findings may help guide the implementation of appropriate treatments for EPI.
Competing Interests: The authors declare no conflict of interest.
(Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
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تواريخ الأحداث: Date Created: 20240124 Date Completed: 20240228 Latest Revision: 20240228
رمز التحديث: 20240229
DOI: 10.1097/MPA.0000000000002290
PMID: 38266223
قاعدة البيانات: MEDLINE
الوصف
تدمد:1536-4828
DOI:10.1097/MPA.0000000000002290