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  • Author: Cristina Preda x
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Spatial statistics detect clustering patterns of kidney diseases in south-eastern Romania

Abstract

Medical geography was conceptualized almost ten years ago due to its obvious usefulness in epidemiological research. Still, numerous diseases in many regions were neglected in these aspects of research, and the prevalence of kidney diseases in Eastern Europe is such an example. We evaluated the spatial patterns of main kidney diseases in south-eastern Romania, and highlighted the importance of spatial modeling in medical management in Romania. We found two statistically significant hotspots of kidney diseases prevalence. We also found differences in the spatial patterns between categories of diseases. We propose to speed up the process of creating a national database of records on kidney diseases. Offering the researchers access to a national database will allow further epidemiology studies in Romania and finally lead to a better management of medical services.

Open access
Alien Species of EU Concern in Romania

Abstract

Of the 37 species of the European Union concern eight are already present and two present a future potential risk for Romania. This paper brings updated information regarding these species in Romania. The presence of eight invasive alien species of concern to the European Union have already been recorded in Romania: two plant species Cabomba caroliniana and Heracleum sosnowskyi, two crustaceans Orconectes limosus and Eriocheir sinensis, two fish species Pseudorasbora parva and Perccottus glenii, one reptile Trachemys scripta and one mammal Myocastor coypus. Other two species of Union concern (Lithobates catesbeianus and Procyon lotor) may soon become invaders in Romania. We emphasize the urgent need to assess their current distribution and impact or potential to establish and possible impact at national level.

Open access
Serum Uric Acid Concentration in Overweight and Obese Women with Polycystic Ovary Syndrome / Nivelul acidului uric la femeile supraponderale și obeze cu sindromul ovarelor polichistice

Abstract

Background: Women with polycystic ovary syndrome (PCOS) are at high risk for the development of diabetes mellitus, hypertension and coronary heart disease. Due to the inverse correlation between serum uric acid and insulin sensitivity, the measurement of uric acid may provide a marker of insulin resistance. Objective: To establish the relationship between uric acid and markers of insulin resistance in obese and overweight women with PCOS. Methods: Serum uric acid levels were measured in 38 PCOS obese and overweight patients and 30 controls matched for age and body mass index (BMI). Anthropometric variables, plasma glucose and insulin levels were measured. Insulin resistance was evaluated by homeostasis model assessment (HOMA-IR). Results: No statistically significant differences in uric acid levels between PCOS and non-PCOS women were found. Serum uric acid levels were positively correlated with BMI, waist circumference, insulin and HOMA. Following the use of stepwise linear regression analysis, BMI was the only parameter retained by the regression model, responsible for 42.1% of the variability of serum uric acid levels. Conclusions: In PCOS women obesity seems to be the main determinant of plasma uric acid levels. Insulin and HOMA are also involved to a lesser extent, but their role remains to be clarified by further studies.

Open access