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 |
ISSN | 0168-8227 |
EISSN | 1872-8227 |
卷号 | 217 |
DOI | 10.1016/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 ID | 39299391 |
SCOPUSEID | 2-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_ID | SCOPUS_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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