Role of triglyceride glycemic body mass index in predicting recurrent pregnancy loss

Acta Universitatis Medicinalis Anhui 2023 06 v.58 1020-1024     font:big middle small

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Authors:Xue Yinshuang; He Yingming; Huang Yue; Liu Zhenran; Zhang Pin; Xiang Huifen

Keywords:recurrent pregnancy loss;insulin resistance;TyG index;TyG-BMI index;HOMA-IR

DOI:10.19405/j.cnki.issn1000-1492.2023.06.024

〔Abstract〕 Objective To analyze the metabolism of blood glucose, blood lipid and insulin in patients with recurrent pregnancy loss(RPL), and to compare the predictive efficacy of triglyceride glycemic index(TyG), triglyceride glycemic body mass index(TyG-BMI) and homeostatic model assessment of insulin resistance(HOMA-IR)for RPL. Methods A total of 573 patients with RPL were selected as the RPL group, and 652 women who received assisted reproductive technology for male infertility were selected as the control group. The general data of the two groups were retrospectively analyzed. The levels of body mass index(BMI), fasting blood glucose(FPG), fasting triglyceride(FTG), fasting insulin(FINS), TyG index, TyG-BMI index and HOMA-IR were compared between the two groups. Spearman correlation analysis was used to verify the correlation between TyG index, TyG-BMI index and HOMA-IR. Receiver operating characteristic(ROC) curve was used to evaluate the predictive efficacy of TyG index, TyG-BMI index and HOMA-IR for RPL occurrence, and the optimal predictive cut-off point was calculated. Results The BMI, FPG, FTG, TyG index, TyG-BMI index and HOMA-IR in the RPL group were significantly higher than those in the control group(P<0.05). TyG index and TyG-BMI index were positively correlated with HOMA-IR, and the correlation coefficients were 0.442 and 0.505, respectively(P<0.001). ROC curve analysis showed that the area under the curve of TyG-BMI index predicting RPL was 0.579(95%CI:0.551-0.607,P<0.001), which was greater than that of TyG index of 0.557(95%CI: 0.529-0.585,P<0.001) and HOMA-IR of 0.535(95%CI: 0.507-0.563,P<0.05), among which the difference between TyG-BMI index and HOMA-IR index area under the curve was statistically significant(P<0.05). The optimal cut-off points of TyG-BMI index, TyG index and HOMA-IR for predicting RPL were 172.3(sensitivity 75.7%, specificity 37.06%), 8.32(sensitivity 59.44%, specificity 51.61%) and 3.58(sensitivity 25.87%, specificity 81.62%), respectively. Conclusion The incidence of overweight, abnormal blood glucose, lipid and insulin metabolism in RPL patients is higher than that in normal women. TyG index and TyG-BMI index can be used as indicators of insulin metabolic status in RPL population besides HOMA-IR, and TyG-BMI index has a higher efficacy in predicting the occurrence of RPL compared to HOMA-IR.