Relationship of serum levels of GDF-15 and PPARγ with coagulation indicators and prognosis in patients with early-onset preeclampsia
Objective To explore the relationship of serum levels of growth differentiation factor 15(GDF-15)and peroxisome proliferator-activated receptor γ(PPARγ)with coagulation indicators in patients with early-onset preeclampsia and their impact on prognosis.Methods Seventy-six patients with early-onset preeclampsia treated at Ankang Maternal and Child Health Hospital from May 2020 to May 2023 were selected as a study group,and 75 healthy pregnant women during the same period a control group.The serum levels of GDF-15 and PPARy were measured using the enzyme-linked immunosorbent assay.The coagulation function indicators[activated partial thromboplastin time(APTT),thrombin time(TT),prothrombin time(PT),and fibrinogen(FIB)]were detected.The patients were followed up for their prognosis.The correlation of the levels of GDF-15 and PPARγ with coagulation function was analyzed by the Pearson product coefficient.The predictive values of GDF-15,PPARy,and coagulation indicators for the severity of preeclampsia were analyzed using the receiver operating characteristic curve(ROC).x2 and t tests were used for the statistical analysis.Results The levels of GDF-15,PPARγ,and FIB in the severe group,the preeclampsia group,and the control group sequentially decreased,while the APTT,TT,and PT sequentially increased,with statistical differences(all P＜0.05).The levels of GDF-15 and PPARy were significantly correlated with coagulation indicators(all P＜0.05).The area under the curve of the combination of these indicators was 0.779,with a sensitivity of 75.0％and a specificity of 80.0％.The levels of GDF-15 and PPARγ in the patients with good prognosis were lower than those in the patients with poor prognosis(both P＜0.05).Conclusion Serum levels of GDF-15 and PPARy are elevated in patients with early-onset preeclampsia and are related to abnormal coagulation function,making them potential biomarkers for early diagnosis and prediction of adverse outcomes.
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