科研成果详情

题名Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis
作者
发表日期2024-11-01
发表期刊Diabetes Research and Clinical Practice   影响因子和分区
语种英语
原始文献类型Article
关键词Acute pancreatitis Body composition Computed tomography Diabetes Machine learning
其他关键词ADIPOSE-TISSUE ; 1ST ATTACK ; MELLITUS ; RISK ; STRESS ; 3C
摘要Background: Post‑acute pancreatitis prediabetes/diabetes mellitus (PPDM‑A) is one of the common sequelae of acute pancreatitis (AP). The aim of our study was to build a machine learning (ML)-based prediction model for PPDM-A in hypertriglyceridemic acute pancreatitis (HTGP). Methods: We retrospectively enrolled 165 patients for our study. Demographic and laboratory data and body composition were collected. Multivariate logistic regression was applied to select features for ML. Support vector machine (SVM), linear discriminant analysis (LDA), and logistic regression (LR) were used to develop prediction models for PPDM-A. Results: 65 patients were diagnosed with PPDM-A, and 100 patients were diagnosed with non-PPDM-A. Of the 84 body composition-related parameters, 15 were significant in discriminating between the PPDM-A and non-PPDM-A groups. Using clinical indicators and body composition parameters to develop ML models, we found that the SVM model presented the best predictive ability, obtaining the best AUC=0.796 in the training cohort, and the LDA and LR model showing an AUC of 0.783 and 0.745, respectively. Conclusions: The association between body composition and PPDM-A provides insight into the potential pathogenesis of PPDM-A. Our model is feasible for reliably predicting PPDM-A in the early stages of AP and enables early intervention in patients with potential PPDM-A.
资助项目Zhejiang University Clinical Medicine Innovation Center for the Diagnosis and Treatment of Hepatobiliary and Pancreatic Diseases[2013TD06];Medical Science and Technology Project of Zhejiang Province[2024KY140];Science and Technology Plan Project of Wenzhou Municipality[Y20210229];
出版者ELSEVIER IRELAND LTD
ISSN0168-8227
EISSN1872-8227
卷号217
DOI10.1016/j.diabres.2024.111862
页数9
WOS类目Endocrinology & Metabolism
WOS研究方向Endocrinology & Metabolism
WOS记录号WOS:001319716600001
收录类别SCOPUS ; PUBMED ; SCIE
URL查看原文
PubMed ID39299391
SCOPUSEID2-s2.0-85204238258
通讯作者地址[Yu, Risheng]Department of Radiology,The Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou,China
Scopus学科分类Internal Medicine;Endocrinology, Diabetes and Metabolism;Endocrinology
SCOPUS_IDSCOPUS_ID:85204238258
引用统计
文献类型期刊论文
条目标识符https://kms.wmu.edu.cn/handle/3ETUA0LF/218871
专题附属第一医院
第一临床医学院(信息与工程学院)、附属第一医院
附属第二医院
第二临床医学院、附属第二医院、育英儿童医院
第一临床医学院(信息与工程学院)、附属第一医院_临床检验诊断学
通讯作者Yu, Risheng
作者单位
1.Department of Radiology,The Second Affiliated Hospital,Zhejiang University School of Medicine,Hangzhou,China;
2.Department of Radiology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China;
3.School of the First Clinical Medical Sciences,Wenzhou Medical University,Wenzhou,China;
4.Department of Radiology,The Second Affiliated Hospital of Wenzhou Medical University,Wenzhou,China;
5.Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China;
6.Department of Clinical Laboratory,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,China
第一作者单位附属第一医院;  第一临床医学院(信息与工程学院)、附属第一医院
推荐引用方式
GB/T 7714
Huang, Yingbao,Zhu, Yi,Xia, Weizhi,et al. Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis[J]. Diabetes Research and Clinical Practice,2024,217.
APA Huang, Yingbao., Zhu, Yi., Xia, Weizhi., Xie, Huanhuan., Yu, Huajun., ... & Yu, Risheng. (2024). Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis. Diabetes Research and Clinical Practice, 217.
MLA Huang, Yingbao,et al."Computed tomography-based body composition indicative of diabetes after hypertriglyceridemic acute pancreatitis".Diabetes Research and Clinical Practice 217(2024).

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