机译:预测慢性肾脏疾病的结果:估计肾小球滤过率是否比两个好?
Department of Nephrology, Kaiser Permanente Northwest, Lake Road Nephrology Center, Portland, Oregon;
Kaiser Permanente Center for Health Research 3800 North Interstate Avenue Portland, Oregon 97227;
Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon;
Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon;
Center for Health Research, Kaiser Permanente Northwest, Portland, Oregon;
Oregon Health and Science University, Portland, Oregon;
Department of Nephrology, Kaiser Permanente Northwest, Lake Road Nephrology Center, Portland, Oregon;
机译:预防肾脏疾病流行病学协作等式(CKD-EPI)以估算肾小球过滤率预测肝脏移植受者的结果
机译:曲线下面积估计肾小球过滤速率的可变性预测慢性肾病中的肾脏结果
机译:年龄,估计的肾小球滤过率和射血分数评分可预测对比剂诱发的糖尿病和慢性肾脏病患者的急性肾损伤:TRACK-D研究的真知灼见
机译:径向基函数神经网络在中国慢性肾脏病患者肾小球滤过率评估中的应用
机译:肾功能广泛人群中肾小球滤过率估计方程随时间的准确性。
机译:慢性肾脏病流行病学协作(CKD-EPI)方程在有或没有胱抑素C的情况下估计老年妇女肾小球滤过率的临床效果
机译:克我,Sang Y,Ballew Sh,等人,慢性肾病预后联盟。预测慢性肾病患者临床结果的时间,严重降低肾小球过滤速率。肾脏int。 2018; 93:1442-1451