This study aimed to develop a mathematical model for predicting recovery potential of an obstructed kidney with poor function by a noninvasive method. We analyzed a cohort study of 93 patients who suffered from unilateral renal or ureteral stones with hydronephrosis and renography showing an ipsilateral glomerular filtration rate (GFR) <15 ml/min. We recorded clinical parameters, including age, sex, body mass index, residual renal volume (RRV), unilateral GFR, and split renal function (SRF) before percutaneous nephrostomy (PCN). After 38.16 +/- 5.87 days of drainage. Renal function was re-evaluated by renography. Almost all of the kidneys showed changes in GFR and SRF. Univariate and multivariate analysis showed that the patient's age, RRV, pre-GFR, and pre-SRF were significant factors associated with recoverability of renal function. A multiple linear regression model was developed to predict the recovery potential of the obstructed kidney.
第一作者单位:[1]Huazhong Univ Sci & Technol,Tongji Med Coll,Tongji Hosp,Dept Urol,1095 Jiefang Ave,Wuhan 430074,Hubei,Peoples R China
通讯作者:
推荐引用方式(GB/T 7714):
Lu Yuchao,Hu Henglong,Qin Baolong,et al.Multiple linear regression model for predicting functional recovery in obstructive uropathy due to stones[J].INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE.2016,9(6):11913-11918.
APA:
Lu, Yuchao,Hu, Henglong,Qin, Baolong,He, Deng,Zhang, Jiaqiao...&Liu, Jihong.(2016).Multiple linear regression model for predicting functional recovery in obstructive uropathy due to stones.INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE,9,(6)
MLA:
Lu, Yuchao,et al."Multiple linear regression model for predicting functional recovery in obstructive uropathy due to stones".INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE 9..6(2016):11913-11918