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Predictors of Declining Glomerular Filtration Rate in a Population-Based Chronic Kidney Disease Cohort

机译:基于人群的慢性肾脏病队列中肾小球滤过率下降的预测因素

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Background/Aim: A high percentage of patients with chronic kidney disease has nonprogressive disease. Classification with respect to rate of change in glomerular filtration rate (GFR) would permit a more targeted approach to these patients. The aim of this study was to study predictors of rate of change in GFR in a population-based cohort. Methods: All prevalent patients with chronic kidney disease stage 3 in a well-defined population in Northern Europe between 1994 and 2003 were included. Clinical and biochemical data were collected from primary care and hospital medical records. GFR was estimated from creatinine with the recalibrated Modification of Diet in Renal Disease Study equation. Rate of change in GFR were explored in two-level multivariate linear regression models. Results: A total of 1,224 patients were included. The mean age (76.5 years) was higher and mean rate of decline in GFR slower (1.5 ml/min/1.73 m~2/year) than in studies of selected patient groups. A total of 60% of the patients suffered from comorbid conditions, 90% had hypertension. Male gender, diabetes, proteinuria and higher mean arterial pressure were independent predictors of a faster decline in GFR. Conclusion:The similarity of the identified predictors with those found in clinical trials of more selected patients may indicate the potential for improved treatment of older chronic kidney disease patients with multiple comorbidities by better adherence to existing guidelines.
机译:背景/目的:慢性肾脏病患者中有很大一部分患有非进行性疾病。关于肾小球滤过率变化率(GFR)的分类将使这些患者更有针对性。这项研究的目的是研究基于人群的队列中GFR变化率的预测因子。方法:纳入了1994年至2003年间北欧明确人群中所有患有慢性肾脏病3期的普遍患者。临床和生化数据收集自初级保健和医院医疗记录。肾病研究方程式中饮食的重新校正后,根据肌酐估算了GFR。在两级多元线性回归模型中探讨了GFR的变化率。结果:共纳入1,224例患者。与选定患者组的研究相比,平均年龄(76.5岁)更高,GFR的平均下降速度更慢(1.5 ml / min / 1.73 m〜2 /年)。共有60%的患者患有合并症,其中90%患有高血压。男性,糖尿病,蛋白尿和平均动脉压升高是GFR下降较快的独立预测因素。结论:已确定的预测因素与在更多选择的患者的临床试验中发现的预测因素的相似性,可能表明通过更好地遵守现有指南,有可能改善对患有多种合并症的老年慢性肾脏病患者的治疗。

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