Value of triglyceride glucose-body mass index in evaluating the severity of hyperlipidemic acute pancreatitis
- VernacularTitle:甘油三酯葡萄糖体质量指数（TyG-BMI）对高脂血症性急性胰腺炎严重程度的预测价值
- Author:
Pingping LUO
1
;
Qun LIU
1
;
Liwen HUANG
2
Author Information
- Publication Type:Journal Article
- Keywords: Pancreatitis; Hyperlipidemias; Triglyceride Glucose-Body Mass Index
- From: Journal of Clinical Hepatology 2024;40(8):1661-1665
- CountryChina
- Language:Chinese
- Abstract: ObjectiveTo investigate the value of triglyceride glucose-body mass index （TyG-BMI） index in predicting the severity of hyperlipidemic acute pancreatitis （HLAP）. MethodsA retrospective analysis was performed for the clinical data of 185 patients with HLAP who were admitted to Tianyou Hospital Affiliated to Wuhan University of Science and Technology from January 2021 to December 2023， and according to the revised Atlanta classification criteria for acute pancreatitis， they were divided into mild group with 95 patients and moderate or severe group with 90 patients. Clinical features were compared between the two groups to analyze the correlation between TyG-BMI and the severity of HLAP， and the efficacy of TyG-BMI in predicting the severity of HLAP was analyzed. The independent-samples t test or the Mann-Whitney U test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups. Univariate and multivariate Logistic regression analyses were used to investigate the influencing factors for the severity of HLAP. A Spearman correlation analysis was used to investigate the correlation between TyG-BMI and the severity of HLAP， and the receiver operating characteristic （ROC） curve was used to analyze the efficacy of TyG-BMI in predicting the severity of HLAP. ResultsThere were significant differences between the mild group and the moderate or severe group in creatinine， blood glucose （GLU）， triglyceride， TyG-BMI， and Bedside Index for Severity in Acute Pancreatitis （BISAP） score （Z=-2.059，-7.217，-7.799，-9.566 and-11.386，all P<0.05）. The multivariate Logistic regression analysis showed that BISAP score （odds ratio ［OR］=4.221， 95% confidence interval ［CI］： 1.421 — 12.538， P=0.001）， TyG-BMI （OR=1.262， 95%CI： 1.140 — 1.396， P=0.010）， and GLU （OR=1.316， 95%CI： 1.040 — 1.666， P=0.022） were independent risk factors for the severity of HLAP and were positively correlated with the severity of HLAP （r=0.839， 0.705， and 0.532， all P<0.05）. In the comparison of the efficacy of these indicators in predicting the severity of HLAP， TyG-BMI had a slightly lower efficacy than BISAP score （Z=-4.368， P<0.001） and a significantly better efficacy than GLU （Z=2.155， P<0.001）， with an area under the ROC curve of 0.891， a sensitivity of 91.10%， and a specificity of 96.80%. ConclusionTyG-BMI index has a certain value in predicting the severity of HLAP and can be used in clinical comprehensive assessment of HLAP.
