Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis

doi:10.1186/s12944-024-02112-1

科研成果详情

题名	Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis
作者	Zhu, Yi 1; Huang, Yingbao 1; Sun, Houzhang1; Chen, Lifang1; Yu, Huajun 2; Shi, Liuzhi3; Xia, Weizhi4; Sun, Xuecheng5; Yang, Yunjun1; Huang, Hang6
发表日期	2024-04-23
发表期刊	Lipids in Health and Disease 影响因子和分区
语种	英语
原始文献类型	Article
其他关键词	BODY-MASS INDEX ; SEVERE HYPERTRIGLYCERIDEMIA ; CARDIOMETABOLIC RISK ; SCORING SYSTEMS ; ADIPOSE-TISSUE ; EPIDEMIOLOGY ; MORTALITY ; ETIOLOGY ; CLASSIFICATION ; ASSOCIATION
摘要	Background Obesity substantially contributes to the onset of acute pancreatitis (AP) and influences its progression to severe AP. Although body mass index (BMI) is a widely used anthropometric parameter, it fails to delineate the distribution pattern of adipose tissue. To circumvent this shortcoming, the predictive efficacies of novel anthropometric indicators of visceral obesity, such as lipid accumulation products (LAP), cardiometabolic index (CMI), body roundness index (BRI), visceral adiposity index (VAI), A Body Shape Index (ABSI), and Chinese visceral adiposity index (CVAI) were examined to assess the severity of AP. Method The body parameters and laboratory indices of 283 patients with hyperlipidemic acute pancreatitis (HLAP) were retrospectively analysed, and the six novel anthropometric indicators of visceral obesity were calculated. The severity of HLAP was determined using the revised Atlanta classification. The correlation between the six indicators and HLAP severity was evaluated, and the predictive efficacy of the indicators was assessed using area under the curve (AUC). The differences in diagnostic values of the six indicators were also compared using the DeLong test. Results Patients with moderate to severe AP had higher VAI, CMI, and LAP than patients with mild AP (all P < 0.001). The highest AUC in predicting HLAP severity was observed for VAI, with a value of 0.733 and 95% confidence interval of 0.678-0.784. Conclusions This study demonstrated significant correlations between HLAP severity and VAI, CMI, and LAP indicators. These indicators, particularly VAI, which displayed the highest predictive power, were instrumental in forecasting and evaluating the severity of HLAP.
资助项目	Wenzhou Science and Technology Planning Project[Y20210229];Zhejiang Province Medical and Health Science and Technology Program[2024642828];Wenzhou Science and Technology Committee[Y20180077];Key Laboratory of Novel Nuclide Technologies on Precision Diagnosis and Treatment & Clinical Transformation of Wenzhou City[2023HZSY0012];
出版者	BMC
ISSN	1476-511X
EISSN	1476-511X
卷号	23 期号:1
DOI	10.1186/s12944-024-02112-1
页数	10
WOS类目	Biochemistry & Molecular Biology ; Nutrition & Dietetics
WOS研究方向	Biochemistry & Molecular Biology ; Nutrition & Dietetics
WOS记录号	WOS:001207202800001
收录类别	SCIE ; SCOPUS ; PUBMED
URL	查看原文
PubMed ID	3865437
SCOPUSEID	2-s2.0-85191062634
通讯作者地址	[Huang, Hang]Department of Nuclear Medicine,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China
Scopus学科分类	Endocrinology, Diabetes and Metabolism;Endocrinology;Clinical Biochemistry;Biochemistry (medical)
SCOPUS_ID	SCOPUS_ID:85191062634
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/212544
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	Huang, Hang
作者单位	1.Department of Radiology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China; 2.Department of Hepatobiliary Surgery,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China; 3.Department of Clinical Laboratory,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China; 4.Department of Radiology,The Second Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China; 5.Department of Gastroenterology,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,China; 6.Department of Nuclear Medicine,The First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325006,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
通讯作者单位	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
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Zhu, Yi,Huang, Yingbao,Sun, Houzhang,et al. Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis[J]. Lipids in Health and Disease,2024,23(1).
APA	Zhu, Yi., Huang, Yingbao., Sun, Houzhang., Chen, Lifang., Yu, Huajun., ... & Huang, Hang. (2024). Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis. Lipids in Health and Disease, 23(1).
MLA	Zhu, Yi,et al."Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis".Lipids in Health and Disease 23.1(2024).