A group of scientists has found evidence that women are at a higher risk of venous thromboembolism than men.
A research team from the Complexity Science Hub and the Medical University of Vienna (Austria) analyzed 180,034 patients diabetes and found evidence that Women are at higher risk of venous thromboembolism than men, especially during perimenopause.
Overall, huge amount of data from all around 45 million hospitalized and 7,239,710 patients in Austria between 2003 and 2014.Tev) to a greater extent in females than in males”, explained elma derwickDell Complexity Science Hub.
Risks for women with diabetes mellitus (dm) is also suffering from VTE 1.52 times more compared to women without DM. On the other hand, the risk for men is 1.3 times higher. “From the age of 40, in particular, increases associated risk of VTE,” he explains carola deshinger, one of the authors. According to the results of the study published in the scientific journal, the effect appears to peak in women between the ages of 50 and 59, where the risk is 1.65 times greater. Diabetes Research and Clinical Practice,
To determine the gender-specific effect of diabetes mellitus on VTE risk, the scientific team examined a population-based data set. With approximately 45 million data records, it covers all hospital stays in Austria between 2003 and 2014. Of the 180,034 DM patients, 70,739 were female and 109,295 were male.
Venous thromboembolism (VTE) includes two clinical pictures: deep venous thrombosis And this pulmonary artery embolism, the latter being a dangerous complication of thrombosis. In general, the risk of developing venous thromboembolism is more or less the same in both sexes.
It is known that diabetes mellitus, a chronic disease which affects more than eight percent of the world’s population, is a risk factor Of Tev. “In our study, we found a 1.4-fold increased risk of VTE in patients with diabetes mellitus compared to the control group without diabetes mellitus,” says Derwick.
sex, a differentiating factor
novelty is present gender, While traditional treatment methods can barely account for gender-specific differences in many diseases, “thanks to extensive research efforts and Big Data analytics, today we already know a lot about it,” Derwick says.
As a result, these differences can be analyzed in detail and treatments can be adjusted accordingly. This study was followed by two others that addressed gender-specific differences in the expression of diabetes patients depressionon the one hand, and the disease of Parkinson’s, for another. In this case, a significant difference was also observed on the basis of gender.
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