Correlation Between Novel Anthropometric Indexes And Polycystic Ovary Syndrome Combined With Metabolic Diseases

Objective To explore the correlation between novel anthropometric indexes(body roundness index(BRI),body adiposity index(BAI),abdominal volume index(AVI),a body shape index(ABSI),conicity index(CI))and polycystic ovary syndrome(PCOS)combined with abnormal glucose metabolism or PCOS combined with metabolic syndrome(MS),and to explore the value of new anthropometric indicators in the diagnosis of metabolic diseases in patients with PCOS.Methods A total of 217 PCOS patients were selected as research objects who were newly diagnosed in the Department of Endocrinology of Changzhou First People’s Hospital from January 2017 to November 2022.The basic information and medical history information of the enrolled patients were recorded.Fasting serum was collected,and fasting plasma glucose(FPG),fasting insulin(FINS),blood lipid and other biochemical indicators were detected.All patients underwent oral glucose tolerance test(OGTT),2 hour plasma glucose(2hFG)and 2 hour plasma insulin(2hINS)were measured to evaluate glucose metabolism status.Anthropometric data such as weight,height,waist circumference and hip circumference were collected,and anthropometric indexes were calculated by corresponding formulas.PCOS patients were classified according to whether they had abnormal glucose metabolism and whether they had MS,and the differences between the groups were compared.Spearman correlation analysis was used to evaluate the correlation between each anthropometric index and laboratory indicators.Logistic regression analysis was used to analyze the correlation between anthropometric indexes and PCOS combined with abnormal glucose metabolism,PCOS combined with MS.Meanwhile,ROC curve analysis was used to evaluate the predictive ability of each anthropometric index in PCOS combined with abnormal glucose metabolism and PCOS combined with MS.Results 1.A total of 217 patients with PCOS were included in this study,among which 102 patients had abnormal glucose metabolism,with a prevalence of 47%.There were 91 patients with MS,with a prevalence of 41.9%.According to BMI level,PCOS patients were divided into normal weight group,overweight group and obese group.The prevalence of abnormal glucose metabolism in the three groups was 18.6%,49.1%and 62.1%,and the prevalence of MS was 5.1%,38.2%and 64.1%.2.The body weight,waist circumference,hip circumference,thigh circumference,BMI,WHR,WHtR,BRI,BAI,AVI,ABSI and CI of the abnormal glucose metabolism group were higher than those of the NGT group,and the differences were statistically significant(P<0.05).All anthropometric indexes except ABSI were significantly correlated with FPG,2hPG,FINS,2hINS,HbA1c and HOMA-IR(P<0.05).ABSI was only correlated with 2hPG(P<0.05).3.Logistic regression analysis showed that without adjusting for confounding factors,all indexes except ABSI were the influencing factors of abnormal glucose metabolism in PCOS patients(P<0.05).After adjusting for age,systolic blood pressure(SBP),diastolic blood pressure(DBP),triglyceride(TG)and high density lipoprotein cholesterol(HDL-C),BMI,WHR,WHtR,BRI,AVI and CI were the influencing factors of abnormal glucose metabolism in PCOS patients(P<0.05).Among the new anthropometric indexes,BRI and AVI had the highest OR values of 2.836(95%CI:1.525～5.274)and 3.057(95%CI:1.653～5.654),respectively.4.The ROC curve analysis of anthropometric indexes in identifying PCOS patients with abnormal glucose metabolism showed that the AUC of WHR and WHtR among the traditional indexes were 0.722(95%CI:0.655-0.790)and 0.717(95%CI:0.648-0.786),higher than BMI(AUC=0.684,95%CI:0.612-0.755).Among the novel indexes,BRI and AVI’s AUC were 0.706(95%CI:0.637-0.776)and 0.709(95%CI:0.640-0.779),higher than BAI’s(AUC=0.635,95%CI:0.561～709)and CI’s(AUC=0.658,95%CI:0.586～0.731),ABSI’s(AUC=0.635,95%CI:0.561～709).5.The body weight,waist circumference,hip circumference,thigh circumference,BMI,WHR,WHtR,BRI,BAI,AVI,ABSI and CI in MS group were higher than those in non-MS group,and the differences were statistically significant(P<0.05).All anthropometric indexes except ABSI and CI were significantly correlated with SBP,DBP,TG and HDL-C(P<0.05).ABSI and CI were correlated with TG,total cholesterol(TC)and low density lipoprotein cholesterol(LDL-C)(P<0.05).6.Logistic regression analysis results showed that,without adjusting for confounding factors,all 8 anthropometric indexes were influencing factors of PCOS patients combined with MS(P<0.05).After adjusting for age,creatinine(Cr),serum uric acid(BUA),alanine aminotransferase(ALT)and aspartate aminotransferase(AST),BMI,WHR,WHtR,BRI,BAI,AVI and CI were the influencing factors of PCOS combined with MS(P<0.05),and AVI had the highest OR value of 5.457(95%CI:2.772 to 10.742).7.The ROC curve analysis results of PCOS patients with MS identified by anthropometric indexes showed that the AUC of WHtR and BMI among the traditional indexes were 0.790(95%CI:0.730-0.849)and 0.779(95%CI:0.719～0.840),higher than WHR’s(AUC=0.749,95%CI:0.685～0.814);Among the new indexes,AVI’s AUC was 0.805(95%CI:0.748-0.862),higher than BRI’s(AUC=0.775,95%CI:0.714～0.837)and BAI’s(AUC=0.729,95%CI:0.663～0.794),CI’s(AUC=0.700,95%CI:0.631～0.770),ABSI’s(AUC=0.595,95%CI:0.519～0.670).Conclusion 1.The prevalence of abnormal glucose metabolism and MS in PCOS women is at a high level,and increases with the increase of BMI2.BMI,WHR,WHtR,BRI,AVI and CI were associated with abnormal glucose metabolism in PCOS patients.Among the new indexes,BRI,AVI had the strongest correlation with abnormal glucose metabolism.3.BMI,WHR,WHtR,BRI,BAI,AVI and CI were associated with MS in PCOS patients,and AVI had the strongest correlation with MS.4.Among the new anthropometric indexes,BRI and AVI are good markers to identify the abnormal glucose metabolism in PCOS patients,but their value is lower than WHR and WHtR.AVI has the highest value in predicting MS in PCOS patients.