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OXIDIABASE - Software for Risk Assessment of Complications in Type 2 Diabetes Mellitus based on Oxidative Stress Score obtain by Topsis Method

机译：OXIDIABASE-基于Topsis方法获得的氧化应激评分的2型糖尿病并发症风险评估软件

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The prevalence of the diabetes mellitus type 2 is increasing all over the world and also in Romania. The aim of this study was to found a score based on several oxidative stress markers like malondialdehyde, ceruloplasmine and carbonylated protein and to implement a computer application for risk evaluation of diabetes mellitus type 2 complications. TOPSIS method was applied for ranking the alternatives according to the ideal solution. Based on the relative proximity coefficients provided by TOPSIS method scores for oxidative stress (Oscore) were assign with an algorithm. There was very good correlation between Oscore and GFR (r=-0.77, p<0.001), good correlation between Oscore and age (r=0.55, p0.00l), diabetes duration (r=0.74, p0.00l), urea (r=0.58, p0.00l), uric acid (r=0.60, p0.00l), creatinine (r=0.57, p<0.001), microalbuminuria (r=0.62, p<0.001). From linear regression results Oscore was correlated with glomerural filtration rate, duration of diabetes, and glycosylated hemoglobin Ale (p0.00l). Oscore has entered in multivariate linear regression as significant for prediction of glomerural filtration rate and microalbuminuria. Software was made for risk assessment of abnormal values for glomerural filtration rate and for microalbuminuria. In conclusion our solution was appropriate for the assignment of an oxidative stress score based on several oxidative stress markers, but it cannot be used only for one patient, it can be used according to several data observed on others patients.
机译：2型糖尿病的患病率在全世界以及罗马尼亚都在上升。这项研究的目的是找到基于几种氧化应激标记物（如丙二醛，铜蓝蛋白和羰基化蛋白）的分数，并实现用于2型糖尿病并发症风险评估的计算机应用程序。使用TOPSIS方法根据理想解决方案对替代方案进行排名。根据TOPSIS方法提供的相对接近系数，使用算法分配氧化应激得分（Oscore）。 Oscore与GFR之间的相关性非常好（r = -0.77，p <0.001），Oscore与年龄之间的相关性很好（r = 0.55，p0.00l），糖尿病持续时间（r = 0.74，p0.00l），尿素（ r = 0.58，p0.00l），尿酸（r = 0.60，p0.00l），肌酐（r = 0.57，p <0.001），微量白蛋白尿（r = 0.62，p <0.001）。根据线性回归结果，Oscore与肾小球滤过率，糖尿病病程和糖基化血红蛋白Ale（p0.00l）相关。 Oscore已进入多元线性回归，对预测肾小球滤过率和微量白蛋白尿具有重要意义。制作了用于评估肾小球滤过率和微量白蛋白尿异常值的风险评估软件。总而言之，我们的解决方案适合基于多个氧化应激标记物分配氧化应激评分，但是它不能仅用于一名患者，可以根据在其他患者身上观察到的一些数据来使用。

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