Biochemical, sex hormonal, and anthropometric predictors of non-alcoholic fatty liver disease in polycystic ovary syndrome

被引:0
作者
Li, Xintong [1 ]
Min, Min [2 ,3 ]
Duan, Fangfang [4 ]
Ruan, Xiangyan [2 ]
Xu, Li [1 ]
机构
[1] Capital Med Univ, Beijing Jishuitan Hosp, Dept Radiol, Beijing 100035, Peoples R China
[2] Capital Med Univ, Beijing Obstet & Gynecol Hosp, Beijing Maternal & Child Hlth Care Hosp, Dept Gynecol Endocrinol, Beijing 100026, Peoples R China
[3] Aviat Gen Hosp, Dept Gynecol, Beijing, Peoples R China
[4] Capital Med Univ, Beijing Jishuitan Hosp, Clin Epidemiol Res Ctr, Beijing, Peoples R China
关键词
Polycystic ovary syndrome; Non-alcoholic fatty liver disease; Overweight; Obesity; Metabolic syndrome; Sex hormones; INSULIN-RESISTANCE; PREVALENCE; STEATOSIS; OBESITY; WOMEN; PATHOGENESIS; PHENOTYPES; DIAGNOSIS; CRITERIA;
D O I
10.1186/s12905-025-03648-9
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Polycystic ovary syndrome (PCOS) is linked to non-alcoholic fatty liver disease (NAFLD). Biochemical, sex hormonal, and anthropometric indicators have been explored for screening NAFLD in PCOS patients. However, the accuracy of NAFLD screening using these indicators in PCOS patients remains uncertain. This study aimed to identify biochemical, sex hormonal, and anthropometric indicators associated with NAFLD in overweight and obese PCOS patients and assess the diagnostic efficacy of combined indicators. Methods This cross-sectional study (Clinical trial number ChiCTR1900020986; Registration date January 24th, 2019) involved 87 overweight or obese women with PCOS (mean age 29 +/- 4 years). Measurements included anthropometric indices, biochemistry, sex hormone levels, and liver proton density fat fraction (PDFF). Correlation analysis, intergroup comparisons, and logistic regression analysis were used to identify risk factors for NAFLD (PDFF > 5.1%). The receiver operating characteristic curve, area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predictive value were used to determine cut-off values and evaluate diagnostic accuracy. Results Liver PDFF was 7.69% (3.93%, 14.80%) in overweight and obese PCOS patients, with 67.8% diagnosed with NAFLD. NAFLD was associated with increased body mass index (BMI), abdominal circumference (AC), and triglyceride, total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), glucose, insulin, and free testosterone (FT) levels, and with decreased high-density lipoprotein-cholesterol (HDL-C) and sex hormone-binding globulin (SHBG) levels (P < 0.05). Risk factors for NAFLD in PCOS included BMI > 26.8 kg/m(2), AC > 88.3 cm, triglyceride > 1.57 mmol/L, TC > 4.67 mmol/L, LDL-C > 3.31 mmol/L, glucose > 4.83 mmol/L, insulin > 111.35 pmol/L, FT > 7.6 pg/mL and SHBG < 25 nmol/L (beta = 1.411-2.667, P < 0.005). A multi-indicator model including triglycerides, LDL-C, glucose, insulin, and SHBG showed higher diagnostic accuracy (AUC = 0.899, P < 0.001) for screening NAFLD in PCOS patients than single indicators (AUC = 0.667-0.761, P < 0.05). Conclusions Overweight and obese PCOS patients have higher incidences of liver PDFF and NAFLD. A multi-indicator model including triglycerides > 1.57 mmol/L, LDL-C > 3.31 mmol/L, glucose > 4.83 mmol/L, insulin > 111.35 pmol/L, and SHBG < 25 nmol/L is highly accurate for screening NAFLD in overweight and obese PCOS patients.
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页数:10
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