4.7 Article

Remnant Lipoprotein Cholesterol as a Factor Related to Adult Fatty Liver Disease

期刊

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
卷 107, 期 4, 页码 E1598-E1609

出版社

ENDOCRINE SOC
DOI: 10.1210/clinem/dgab825

关键词

fatty liver disease; remnant lipoprotein cholesterol; lipoproteins; discriminant model

资金

  1. National Key Research and Development Program of China [2020AAA0109400]
  2. Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences [2019-I2M-5-027]
  3. Liaoning Province Science and Technology Project [2019JH2/10100027]
  4. Shenyang Science and Technology Project [19-112-4-004]

向作者/读者索取更多资源

The study found a significant positive correlation between RLP-C and both the occurrence and severity of FLD, which may assist clinicians in identifying individuals at high risk for FLD and implementing interventions to reduce FLD prevalence.
Context Dyslipidemia is related to fatty liver disease (FLD), whose relationship with remnant lipoprotein cholesterol (RLP-C), a component of blood lipids, remains unclear. Objective To clarify the correlation between RLP-C and the occurrence and severity of FLD and establish an FLD discriminant model based on health check indicators. Methods Retrospective study of participants who underwent health check-up in the First Affiliated Hospital of China Medical University (Shenyang, China) between January and December 2019. We categorized participants according to liver ultrasound results and analyzed the correlation between RLP-C and occurrence of FLD (n = 38 885) through logistic regression, restricted cubic spline, and receiver operating characteristic curve. We categorized the severity of FLD according to the control attenuation parameter and analyzed the correlation between RLP-C and FLD severity through multiple logistic regression; only males were included (n = 564). Results The adjusted OR (aOR) per SD between RLP-C and FLD was 2.33 (95% CI 2.21-2.46, P < .001), indicating a dose-response relationship (P < .0001). The optimal cut-off value of RLP-C was 0.45 mmol/L and the area under the curve (AUC) was 0.79. The AUC of the 8-variable model was 0.89 in both the training and the validation sets. FLD severity was related to the level of RLP-C (aOR per SD = 1.29, 95% CI 1.07-1.55, P = .008). Conclusion RLP-C has a strong positive correlation with FLD occurrence and FLD severity. These results may help clinicians identify and implement interventions in individuals with high FLD risk and reduce FLD prevalence.

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