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首页> 外文期刊>Einstein (So Paulo) >Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients
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Predictive performance of 12 equations for estimating glomerular filtration rate in severely obese patients

机译：严重肥胖患者估计肾小球滤过率的12个方程的预测性能

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ABSTRACTObjective:Considering that the Cockcroft-Gault formula and the equation of diet modification in renal disease are amply used in clinical practice to estimate the glomerular filtration rate, although they seem to have low accuracy in obese patients, the present study intends to evaluate the predictive performance of 12 equations used to estimate the glomerular filtration rate in obese patients.Methods:This is a cross-sectional retrospective study, conducted between 2007 and 2008 and carried out at a university, of 140 patients with severe obesity (mean body mass index 44 ± 4.4 kg/m2). The glomerular filtration rate was determined by means of 24-hour urine samples. Patients were classified into one or more of the four subgroups: impaired glucose tolerance (n = 43), diabetic (n = 24), metabolic syndrome (n = 76), and/or hypertension (n = 66). We used bias, precision, and accuracy to assess the predictive performance of each equation in the entire group and in the subgroups.Results:In renal disease, Cockcroft-Gault's formula and the diet modification equation are not precise in severely obese patients (precision: 40.9 and 33.4, respectively). Sobh's equation showed no bias in the general group or in two subgroups. Salazar-Corcoran's and Sobh's equations showed no bias for the entire group (Bias: −5.2, 95% confidence interval (CI) = −11.4, 1.0, and 6. 2; 95%CI = −0.3, 12.7, respectively). All the other equations were imprecise for the entire group.Conclusion:Of the equations studied, those of Sobh and Salazar-Corcoran seem to be the best for estimating the glomerular filtration rate in severely obese patients analyzed in our study.
机译：摘要：目的：考虑到Cockcroft-Gault公式和肾脏疾病的饮食调节方程在临床实践中已被广泛用于估算肾小球滤过率，尽管在肥胖患者中肾小球滤过率的准确性较低，但本研究旨在评估预测方法：这是一项2007年至2008年之间在大学进行的横断面回顾性研究，用于评估140例严重肥胖的患者（平均体重指数44），该12个方程用于估计肥胖患者的肾小球滤过率。 ±4.4 kg / m2）。肾小球滤过率是通过24小时尿液样本确定的。将患者分为四个亚组中的一个或多个：葡萄糖耐量降低（n = 43），糖尿病（n = 24），代谢综合征（n = 76）和/或高血压（n = 66）。我们使用偏倚，精度和准确性来评估整个组和子组中每个方程的预测性能。结果：在肾脏疾病中，Cockcroft-Gault公式和饮食调整方程在重度肥胖患者中并不精确（精度：分别为40.9和33.4）。 Sobh方程在一般组或两个子组中均无偏差。 Salazar-Corcoran方程和Sobh方程对整个组均无偏差（偏差：-5.2，95％置信区间（CI）= -11.4、1.0和6。2; 95％CI = -0.3、12.7）。结论：在所研究的方程中，Sobh和Salazar-Corcoran的方程似乎是估计本研究中分析的重度肥胖患者肾小球滤过率的最佳方法。

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