Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome
Abstract Background To investigate the association of four insulin resistance (IR) indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome (MetS), as well as to compare the diagnostic value of these indicators in identifying hepatic steatosis and fibrosis in individuals wi...
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| Format: | Article |
| Language: | English |
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BMC
2024-01-01
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| Series: | BMC Gastroenterology |
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| Online Access: | https://doi.org/10.1186/s12876-023-03095-6 |
| _version_ | 1797355717271748608 |
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| author | Tzu-chia Kuo Yang-bor Lu Chieh-lun Yang Bin Wang Lin-xin Chen Ching-ping Su |
| author_facet | Tzu-chia Kuo Yang-bor Lu Chieh-lun Yang Bin Wang Lin-xin Chen Ching-ping Su |
| author_sort | Tzu-chia Kuo |
| collection | DOAJ |
| description | Abstract Background To investigate the association of four insulin resistance (IR) indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome (MetS), as well as to compare the diagnostic value of these indicators in identifying hepatic steatosis and fibrosis in individuals with MetS. Methods This cross-sectional study used the data from the National Health and Nutrition Examination Survey 2017–2018. IR indicators included homeostasis model assessment of IR (HOMA-IR), triglyceride/glucose (TyG) index, triglyceride glucose-waist-to-height ratio (TyG-WHtR), and metabolic score for IR (METS-IR). The main endpoints of this study were hepatic steatosis and hepatic fibrosis. Weighted univariate and multivariate logistic regression models were employed to evaluate the association between four IR indicators and both hepatic steatosis, hepatic fibrosis. The efficacy of various IR indicators in the detection of hepatic steatosis and hepatic fibrosis were assessed using receiver operating characteristics curve (ROC). Results A total of 876 participants with MetS were enrolled. Among the participants, hepatic steatosis was observed in 587 MetS individuals, while hepatic fibrosis was identified in 151 MetS individuals. In multivariate logistic regression model, HOMA-IR, TyG, TyG-WHtR, and METS-IR were related to the increased odd of hepatic steatosis. Additionally, HOMA-IR, TyG-WHtR, and METS-IR were associated with increased odd of hepatic fibrosis. According to the ROC analysis, the area under the curve (AUC) of the TyG-WHtR (AUC = 0.705, 95%CI: 0.668–0.743) was higher than HOMA-IR (AUC = 0.693, 95%CI: 0.656–0.730), TyG (AUC = 0.627, 95%CI: 0.587–0.666), and METS-IR (AUC = 0.685, 95%CI: 0.648–0.722) for identifying hepatic steatosis of MetS patients. Likewise, TyG-WHtR was also higher than HOMA-IR, TyG, and METS-IR for identifying hepatic fibrosis of MetS patients. Conclusion HOMA-IR, TyG-WHtR, and METS-IR may be associated with the risk of hepatic steatosis and fibrosis among the U.S. adult population with MetS. In addition, TyG-WHtR may have a good predictive value for hepatic steatosis and hepatic fibrosis. |
| first_indexed | 2024-03-08T14:15:03Z |
| format | Article |
| id | doaj.art-4e1bb88a20be4be587f586fcbb404607 |
| institution | Directory Open Access Journal |
| issn | 1471-230X |
| language | English |
| last_indexed | 2024-03-08T14:15:03Z |
| publishDate | 2024-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Gastroenterology |
| spelling | doaj.art-4e1bb88a20be4be587f586fcbb4046072024-01-14T12:25:16ZengBMCBMC Gastroenterology1471-230X2024-01-0124111310.1186/s12876-023-03095-6Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndromeTzu-chia Kuo0Yang-bor Lu1Chieh-lun Yang2Bin Wang3Lin-xin Chen4Ching-ping Su5Department of Chinese Medicine, Xiamen Chang Gung HospitalDepartment of Digestive Diseases, Xiamen Chang Gung HospitalDepartment of Nephrology, Xiamen Chang Gung HospitalDepartment of Chinese Medicine, Xiamen Chang Gung HospitalDepartment of Chinese Medicine, Xiamen Chang Gung HospitalDepartment of Chinese Medicine, Xiamen Chang Gung HospitalAbstract Background To investigate the association of four insulin resistance (IR) indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome (MetS), as well as to compare the diagnostic value of these indicators in identifying hepatic steatosis and fibrosis in individuals with MetS. Methods This cross-sectional study used the data from the National Health and Nutrition Examination Survey 2017–2018. IR indicators included homeostasis model assessment of IR (HOMA-IR), triglyceride/glucose (TyG) index, triglyceride glucose-waist-to-height ratio (TyG-WHtR), and metabolic score for IR (METS-IR). The main endpoints of this study were hepatic steatosis and hepatic fibrosis. Weighted univariate and multivariate logistic regression models were employed to evaluate the association between four IR indicators and both hepatic steatosis, hepatic fibrosis. The efficacy of various IR indicators in the detection of hepatic steatosis and hepatic fibrosis were assessed using receiver operating characteristics curve (ROC). Results A total of 876 participants with MetS were enrolled. Among the participants, hepatic steatosis was observed in 587 MetS individuals, while hepatic fibrosis was identified in 151 MetS individuals. In multivariate logistic regression model, HOMA-IR, TyG, TyG-WHtR, and METS-IR were related to the increased odd of hepatic steatosis. Additionally, HOMA-IR, TyG-WHtR, and METS-IR were associated with increased odd of hepatic fibrosis. According to the ROC analysis, the area under the curve (AUC) of the TyG-WHtR (AUC = 0.705, 95%CI: 0.668–0.743) was higher than HOMA-IR (AUC = 0.693, 95%CI: 0.656–0.730), TyG (AUC = 0.627, 95%CI: 0.587–0.666), and METS-IR (AUC = 0.685, 95%CI: 0.648–0.722) for identifying hepatic steatosis of MetS patients. Likewise, TyG-WHtR was also higher than HOMA-IR, TyG, and METS-IR for identifying hepatic fibrosis of MetS patients. Conclusion HOMA-IR, TyG-WHtR, and METS-IR may be associated with the risk of hepatic steatosis and fibrosis among the U.S. adult population with MetS. In addition, TyG-WHtR may have a good predictive value for hepatic steatosis and hepatic fibrosis.https://doi.org/10.1186/s12876-023-03095-6TyG-WHtRHepatic steatosisHepatic fibrosisMetabolic syndromeNHANES |
| spellingShingle | Tzu-chia Kuo Yang-bor Lu Chieh-lun Yang Bin Wang Lin-xin Chen Ching-ping Su Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome BMC Gastroenterology TyG-WHtR Hepatic steatosis Hepatic fibrosis Metabolic syndrome NHANES |
| title | Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| title_full | Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| title_fullStr | Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| title_full_unstemmed | Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| title_short | Association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| title_sort | association of insulin resistance indicators with hepatic steatosis and fibrosis in patients with metabolic syndrome |
| topic | TyG-WHtR Hepatic steatosis Hepatic fibrosis Metabolic syndrome NHANES |
| url | https://doi.org/10.1186/s12876-023-03095-6 |
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