Author/Authors :
Hızlı, Deniz Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey , Tevrizci, Hatice Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey , Altınbaş, Şadıman Etlik Zübeyde Hanım Kadın Hastalıkları Eğitim ve Araştırma Hastanesi - Kadın Hastalıkları ve Doğum, Turkey , Akçal, Banu Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey , Köşüş, Aydın Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey , Köşüş, Nermin Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey , Kafalı, Hasan Fatih Üniversitesi - Tıp Fakültesi - Kadın Hastalıkları ve Doğum, Turkey
Abstract :
Aim: We aimed to evaluate the role of first trimester serum uric acide level to predict glucose intolerance in pregnancy. Method: Patients who admitted to Fatih University Faculty of Medicine for routine antenatal follow-up at first trimester were included in the study. Serum uric acid levels were measured at first trimester. Glucose challenge test-50g (GCT) was performed between 24-28 gestational weeks. Glucose tolerance test-100g was performed if one hour GCT value was ≥140 mg/dl. Women who had abnormal GCT but normal glucose tolerance test were defined as glucose intolerance. Corelation between serum uric acid level and GCT was calculated by lineer regression analysis. Results: Sixty-two patients were included in the study. The mean age, gestational age, serum uric acid level and GCT values were 29.3 }3.6 years, 7.1 (2) weeks, 3.1 }0.7 mg/dl and 121.0 }25.3 mg/dl, respectively. The mean uric acid level of patients with 130 mg/dl GCT values were 3.0 }0.7 mg/dl and 3.3 }0.9 mg/dl in patients with ≥130 mg/dl GCT values. The difference was not statistically significant (p=0,277). Minimal correlation was detected between uric acid level and GCT values, however the correlation was not significant (R=0,147, p=0,255). Conclusion: No significant correlation was determined between first trimester serum uric acid levels and GCT values in our patient population.