{"title":"心脏代谢指数与肝脂肪变性和肝纤维化之间的关系:一项基于人群的研究。","authors":"Lulu Cheng, Qinggang Wu, Siyu Wang","doi":"10.1007/s42000-024-00572-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis.</p><p><strong>Methods: </strong>A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status.</p><p><strong>Results: </strong>A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)].</p><p><strong>Conclusions: </strong>The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. Larger prospective investigations are needed to confirm our findings.</p>","PeriodicalId":50399,"journal":{"name":"Hormones-International Journal of Endocrinology and Metabolism","volume":" ","pages":"477-486"},"PeriodicalIF":2.4000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association between cardiometabolic index and hepatic steatosis and liver fibrosis: a population-based study.\",\"authors\":\"Lulu Cheng, Qinggang Wu, Siyu Wang\",\"doi\":\"10.1007/s42000-024-00572-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis.</p><p><strong>Methods: </strong>A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status.</p><p><strong>Results: </strong>A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)].</p><p><strong>Conclusions: </strong>The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. 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引用次数: 0
摘要
背景:心脏代谢指数(CMI)是基于血脂水平和腹部肥胖指标组合而成的一种新型肥胖指数。它与糖尿病、动脉粥样硬化、高血压等疾病的发生密切相关,因此在代谢性疾病的筛查中发挥着重要作用。此外,肝脏脂肪沉积过多还会导致肝脂肪变性和肝纤维化。本研究旨在探讨 CMI 与肝脂肪变性和肝纤维化之间可能存在的关联:采用2017-2020年美国国家健康与营养调查(NHANES)数据集进行横断面调查,探究CMI与肝脂肪变性和肝纤维化之间的关系,同时采用多元线性回归模型检验CMI与受控衰减参数(CAP)和肝硬度测量(LSM)之间的线性关系。平滑拟合曲线和阈值效应分析用于描述非线性关系。根据性别、年龄、体重指数(BMI)、高血压、糖尿病、心血管疾病和吸烟状况进行了分组分析:在对各种变量进行控制后,CMI 与 CAP 之间存在显著的正相关性[20.38 (16.27,24.49)]。在对亚组进行分析时,发现这种正相关性在女性人群中比在男性人群中更强(交互作用 P = 0.0303)。此外,CMI 与 CAP 之间的关系是非线性的。使用多元回归分析表明,CMI 与肝纤维化之间的线性关系并不显著[-0.09 (-0.47,0.29)]:研究结果表明,CMI 水平升高与肝脏脂肪变性有关,但 CMI 与肝纤维化无关。需要更大规模的前瞻性研究来证实我们的发现。
Association between cardiometabolic index and hepatic steatosis and liver fibrosis: a population-based study.
Background: The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis.
Methods: A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status.
Results: A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)].
Conclusions: The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. Larger prospective investigations are needed to confirm our findings.
期刊介绍:
Hormones-International Journal of Endocrinology and Metabolism is an international journal published quarterly with an international editorial board aiming at providing a forum covering all fields of endocrinology and metabolic disorders such as disruption of glucose homeostasis (diabetes mellitus), impaired homeostasis of plasma lipids (dyslipidemia), the disorder of bone metabolism (osteoporosis), disturbances of endocrine function and reproductive capacity of women and men.
Hormones-International Journal of Endocrinology and Metabolism particularly encourages clinical, translational and basic science submissions in the areas of endocrine cancers, nutrition, obesity and metabolic disorders, quality of life of endocrine diseases, epidemiology of endocrine and metabolic disorders.