Publications by authors named "O Rankov"

The study aimed to determine if the non-dipping pattern of blood pressure (BP) influences preterm delivery in gestational hypertension (GH), but also maternal clinical findings and birth weight. Sixty women with GH, i.e.

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Pregnancy in women with pre-existing diabetes is associated with a doubled, or even up to four-fold increased risk of preeclampsia, preterm delivery, and perinatal mortality compared to the risk observed in a background population. Diabetic nephropathy (DN) is a progressive disease that affects about one third of diabetic patients and is among the most frequent causes of the end stage renal disease (ESRD) worldwide. In the random population, it is present in up to 7% of women with type 1 diabetes mellitus (T1DM), and it represents the most common chronic kidney disease occurring in graviditas, complicating between 2.

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Although body mass index (BMI) and body fat percentage (B F %) are well known as indicators of nutritional status, there are insuficient data whether the relationship between them is linear or not. There are appropriate linear and quadratic formulas that are available to predict B F % from age, gender and BMI. On the other hand, our previous research has shown that artificial neural network (ANN) is a more accurate method for that.

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Background/aim: Women with diabetes, especially diabetes type 1, have worse pregnancy outcomes, as well as increased incidence of spontaneous abortions, pre-eclampsia, fetal macrosomia, preterm delivery, congenital anomalies and perinatal mortality. The aim of this study was to analyze the course and outcome of pregnancy in the patients with diabetes in relation to the group of healthy women regarding preterm delivery, perinatal morbidity and mortality. Also, the aim was to compare pregnancy outcomes in the patients with pre-existing diabetes type 1 and the patients with gestational and diabetes type 2.

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