Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis
Abstract 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 sh...
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BMC
2024-04-01
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| Series: | Lipids in Health and Disease |
| Online Access: | https://doi.org/10.1186/s12944-024-02112-1 |
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| author | Yi Zhu Yingbao Huang Houzhang Sun Lifang Chen Huajun Yu Liuzhi Shi Weizhi Xia Xuecheng Sun Yunjun Yang Hang Huang |
| author_facet | Yi Zhu Yingbao Huang Houzhang Sun Lifang Chen Huajun Yu Liuzhi Shi Weizhi Xia Xuecheng Sun Yunjun Yang Hang Huang |
| author_sort | Yi Zhu |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-8545693e7ab94440ba0c30e5abd3d47a |
| institution | Kabale University |
| issn | 1476-511X |
| language | English |
| publishDate | 2024-04-01 |
| publisher | BMC |
| record_format | Article |
| series | Lipids in Health and Disease |
| spelling | doaj-art-8545693e7ab94440ba0c30e5abd3d47a2024-12-08T12:44:53ZengBMCLipids in Health and Disease1476-511X2024-04-0123111010.1186/s12944-024-02112-1Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitisYi Zhu0Yingbao Huang1Houzhang Sun2Lifang Chen3Huajun Yu4Liuzhi Shi5Weizhi Xia6Xuecheng Sun7Yunjun Yang8Hang Huang9Department of Radiology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Clinical Laboratory, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Radiology, The Second Affiliated Hospital of Wenzhou Medical UniversityDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Radiology, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical UniversityAbstract 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.https://doi.org/10.1186/s12944-024-02112-1 |
| spellingShingle | Yi Zhu Yingbao Huang Houzhang Sun Lifang Chen Huajun Yu Liuzhi Shi Weizhi Xia Xuecheng Sun Yunjun Yang Hang Huang Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis Lipids in Health and Disease |
| title | Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| title_full | Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| title_fullStr | Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| title_full_unstemmed | Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| title_short | Novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| title_sort | novel anthropometric indicators of visceral obesity predict the severity of hyperlipidemic acute pancreatitis |
| url | https://doi.org/10.1186/s12944-024-02112-1 |
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