Objective:To study the predictive value of serum fatty acid binding protein 4 (FABP4), serum 25 hydroxyvitamin D [25 (OH) D] and serum visfatin in judging the occurrence of osteoporosis (OP) in elderly pregnant women with diabetes mellitus (GDM) .Methods:120 elderly pregnant women with GDM admitted in Qingdao Municipal Hospital East Branch from May. 2021 to May. 2024 were selected, 16 cases of OP occurred during pregnancy, which were as the observation group, and 104 cases did not occur, which were as the control group. The serum levels of FABP4, 25 (OH) D and Visfatin between the two groups of patients were compared, a Logistic multiple factor model was used to analyze the related factors of OP in elderly GDM pregnant women, a risk prediction regression model was established, and the judgment value of each factor and model were analyzed.Results:There were 16 cases who developed OP among the 120 elderly pregnant women with GDM, the incidence rate was 13.33%. The Logistic multivariate analysis showed that the serum FABP4 ( β=1.074, 95% CI=1.675-5.111, P< 0.001) and serum Visfatin ( β=1.306, 95% CI=2.156-6.322, P<0.001) were independent risk factors for OP in elderly GDM pregnant women, while serum 25 (OH) D ( β=-0.192, 95% CI=0.715-0.952, P=0.008) was independent protective factor for OP in elderly GDM pregnant women. A regression model Logit (P) =1.425+1.074× (X3) -0.192× (X4) +1.306× (X5) was established, which based on the results of logistic multivariate analysis. The ROC analysis results showed that the regression model had a higher accuracy in determining the occurrence of OP in elderly GDM pregnant women ( AUC=0.821, P<0.001) . Conclusions:The serum FABP4, 25 (OH) D, and Visfatin are associated with OP in elderly GDM pregnant women. The regression model established, which based on the detection of these three factors has high accuracy in determining OP.

Objective:To study the predictive value of serum fatty acid binding protein 4 (FABP4), serum 25 hydroxyvitamin D [25 (OH) D] and serum visfatin in judging the occurrence of osteoporosis (OP) in elderly pregnant women with diabetes mellitus (GDM) .Methods:120 elderly pregnant women with GDM admitted in Qingdao Municipal Hospital East Branch from May. 2021 to May. 2024 were selected, 16 cases of OP occurred during pregnancy, which were as the observation group, and 104 cases did not occur, which were as the control group. The serum levels of FABP4, 25 (OH) D and Visfatin between the two groups of patients were compared, a Logistic multiple factor model was used to analyze the related factors of OP in elderly GDM pregnant women, a risk prediction regression model was established, and the judgment value of each factor and model were analyzed.Results:There were 16 cases who developed OP among the 120 elderly pregnant women with GDM, the incidence rate was 13.33%. The Logistic multivariate analysis showed that the serum FABP4 ( β=1.074, 95% CI=1.675-5.111, P< 0.001) and serum Visfatin ( β=1.306, 95% CI=2.156-6.322, P<0.001) were independent risk factors for OP in elderly GDM pregnant women, while serum 25 (OH) D ( β=-0.192, 95% CI=0.715-0.952, P=0.008) was independent protective factor for OP in elderly GDM pregnant women. A regression model Logit (P) =1.425+1.074× (X3) -0.192× (X4) +1.306× (X5) was established, which based on the results of logistic multivariate analysis. The ROC analysis results showed that the regression model had a higher accuracy in determining the occurrence of OP in elderly GDM pregnant women ( AUC=0.821, P<0.001) . Conclusions:The serum FABP4, 25 (OH) D, and Visfatin are associated with OP in elderly GDM pregnant women. The regression model established, which based on the detection of these three factors has high accuracy in determining OP.

With the continued development of molecular biology technologies,circulating tumor DNA (ctDNA)has shown certain value in the diagnosis and treatment of malignant tumors. The emergence of next generation sequencing technology makes ctDNA detection more accurate and rapid. ctDNA plays a certain role in the early diagnosis,disease monitoring,therapeutic evaluation and medication guide of ovarian cancer by vir-tue of its safety and non-invasiveness. The application of ctDNA detection is insufficient at present,but with the continuous development of sequencing technology,ctDNA will play increasingly important roles in the diagno-sis,personalized treatment and prognosis evaluation of ovarian cancer.