Relationship between visceral fat related index and the severity of acute pancreatitis
10.3969/j.issn.1001-5256.2022.10.021
- VernacularTitle:内脏脂肪相关指数与急性胰腺炎严重程度的关系
- Author:
Heming HUANG
1
;
Huiying YANG
1
;
Yingying QIN
1
;
Guodu TANG
1
Author Information
1. Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, China
- Publication Type:Original Article_Pancreatic Diseases
- Keywords:
Acute Pancreatitis;
Cardiometabolic Index;
Predictor
- From:
Journal of Clinical Hepatology
2022;38(10):2313-2319
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the relationship between visceral fat related index and the severity of acute pancreatitis (AP). Methods A total of 308 patients hospitalized with AP at the First Affiliated Hospital of Guangxi Medical University from September 2014 to October 2021 were included. They were divided into mild acute pancreatitis (MAP) ( n =186), moderate severe acute pancreatitis (MSAP) ( n =60) and severe acute pancreatitis (SAP) ( n =62) for comparison in age, hospitalization cost and days, scoring systems and body mass indexes. Comparison of normally distributed continuous data with homogeneity of variance between groups was made by one-way analysis of variance, and intergroup and intragroup pairwise comparison of data with heterogeneity of variance was made by the Kruskal-Wallis H test. The receiver operating characteristic curves (ROCs) for each index were constructed and area under the curve ( AUC ) was calculated to evaluate the performance of each index. Univariable and multivariable logistic regression analyses were used to identify the independent risk factors of MSAP and SAP. Results There were significant differences among the three groups in terms of hospitalization costs and durations, TG, HDL-C, NLR, WBC, Alb, Cr, BUN, scoring systems, CMI, LAP, WTI and CVAI. Further pairwise comparisons revealed that CMI, LAP, WTI and CVAI were significantly higher in the MAP group than in MSAP and SAP groups. We also found correlation between CMI and the severity of AP ( r =0.352, P < 0.001). By comparing the AUC s, CMI was found to be the most accurate in predicting the occurrence of MSAP and SAP. Univariable logistic regression analysis showed that CMI, LAP, WTI, CVAI and WC were the risk factors of MSAP and SAP. After adjusting for confounding factors, CMI and CVAI were identified as the independent risk factors of MSAP and SAP. The risk of MSAP and SAP with CMI ≥ 0.801 was 3.740 times that with CMI < 0.801 (95% CI : 1.983~7.056, P < 0.001). Conclusions Visceral fat is related to the severity of AP. Among the four visceral fat related indexes (CMI, LAP, WTI and CVAI), cardiometabolic index is the most valuable in predicting the severity of AP and they are positively correlated. CMI, an independent risk factor for MSAP and SAP, can be used to predict and assess the severity of AP.
