ABSTRACT
Background: The aim of the present study was to determine the maternal pre-pregnancy body mass index [BMI], first-trimester fasting blood sugar [FBS], and the combination of [BMI+FBS] cut-points for at-risk pregnant women conceived by assisted reproductive technology [ART] to better predict the risk of developing gestational diabetes mellitus [GDM] in infertile women
Materials and Methods: In this nested case-control study, 270 singleton pregnant women consisted of 135 [GDM] and 135 [non-GDM] who conceived using ART were assessed. The diagnosis of GDM was confirmed by a one-step glucose tolerance test [O-GTT] using 75 g oral glucose. BMI was classified base on World Health Organization [WHO] criteria. The relationship between BMI, FBS, and BMI+FBS with the risk of GDM development was deter- mined by logistic regression and adjusted for confounding factors. Receiver operating characteristic [ROC] curve analysis was performed to assess the value of BMI, FBS, and BMI+FBS for the prediction of GDM
Results: The GDM group had significantly higher age, BMI, family history of diabetes, and history of polycystic ovary syndrome in comparison with the non-GDM group [P<0.05]. Overweight and obese women had 3.27, and 5.14 folds increase in the odds of developing GDM, respectively. There was a 17% increase in the risk of developing GDM with each 1 mg/dl increase in fasting glucose level. The cut points for FBS 84.5 mg/dl [72.9% sensitivity, 74.4% specificity], BMI 25.4 kg/m2 [68.9% sensitivity, 62.8% specificity], and BMI+FBS 111.2 [70.7% sensitivity, 80.6% specificity] was determined
Conclusion: The early screening and high-quality prenatal care should be recommended upon the co-occurrence of high FBS [>/=84.5 mg/dl] in the first-trimester of the pregnancy and the BMI [=25.4 kg/m2] in pre-pregnancy period in women undergone ART. The combination of BMI and FBS is considered a better prediction value
ABSTRACT
Stroke is more common in patients with cerebral microembolisms. Frequency of cerebral microembolisms [high intensity transient signals, HITS] in acute myocardial infarction has been reported about 17%. The factors that influence on microembolism after myocardial infarction [MI] are not definitive. Type of MI, Ejection fraction, Hx of Streptokinase is the factors that were studied. During three years we studied the frequency of cerebral microembolisms in AMI patients, we studied forty patients with microembolism as a case group and ninety patients without microembolism as a control group. We detected microembolism in patients by transcranial doppler study within 72 houre after myocardial infarction. Two-dimensional echocardiogram was performed for all patients during hospitalization. Excluding criteria were prosthetic heart valves, carotid stenosis >50% and poor window for TCD monitoring. number of patients who had history of receiving SK were significantly more common in case group in comparison to control group. OR 2.4 CI [1.1-5.2]. The frequency was more prevalent in anterolateral MI in comparison to inferior MI.OR=3.3 CI [1.4-7.4]. Ejection fraction has no significant effect on frequency of microembolism. OR 0.5 CI [0.2-1.3]. Hypokinesia is also a risk factor for increasing risk of microembolism. OR 4.5 CI [1.4.13.8] frequency of microembolism has been increased in patients with history of streptokinase or in the type of Anterolateral MI or wall motion abnormality, so we should be careful for risk of microembolism in this groups