Body Composition Analysis Allows the Prediction of Urinary Creatinine Excretion and of Renal Function in Chronic Kidney Disease Patients
Body Composition Analysis Allows the Prediction of Urinary Creatinine Excretion and of Renal Function in Chronic Kidney Disease Patients
复制标题
身体成分分析可用于预测慢性肾脏病患者的尿肌酐排泄量和肾功能
DOI：
10.3390/nu9060553
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发表时间：
2017-06-01
期刊：
影响因子：
5.9
通讯作者：
Donadio, Carlo
中科院分区：
文献类型：
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作者：
Donadio, Carlo
本研究的目的是预测尿肌酐排泄（UCr），肌酐清除率（CCr）和肾小球滤过率（GFR）从身体成分分析。身体细胞质量（BCM）是包含肌肉质量的隔室，这是肌酸酐产生的地方。采用体阻抗分析法对165例血清肌酐（SCr）为0.6 ~ 14.4 mg/dL的慢性肾脏疾病（CKD）成人患者（72例女性）进行BCM测定。测量GFR (Tc-99m-DTPA)，并使用肾脏疾病饮食改变（MDRD）公式进行预测。其他检查参数为SCr、24 h UCr和测定的24 h CCr （mCCr）。24 h UCr与BCM呈严格的线性相关（r = 0.772）。多元线性回归（MR）结果表明，UCr与BCM、体重、男性性别呈正相关，与年龄、SCr呈负相关。利用MR方程预测的UCr （MR-UCr）与24小时UCr非常相似。由MR-UCr和SCr （MR-BCM-CCr）预测的CCr与mcr非常相似，具有高相关性（r = 0.950）、一致性和低预测误差（8.9 mL/min/1.73 m(2)）。根据GFR与BCM/SCr比值的关系，预测GFR （BCM GFR）。BCM GFR与GFR非常相似，具有高相关性（r = 0.906）、一致性和低预测误差（12.4 mL/min/1.73 m(2)）。在CKD患者中，UCr、CCr和GFR可以通过体成分分析来预测。
The aim of this study was to predict urinary creatinine excretion (UCr), creatinine clearance (CCr) and the glomerular filtration rate (GFR) from body composition analysis. Body cell mass (BCM) is the compartment which contains muscle mass, which is where creatinine is generated. BCM was measured with body impedance analysis in 165 chronic kidney disease (CKD) adult patients (72 women) with serum creatinine (SCr) 0.6-14.4 mg/dL. The GFR was measured (Tc-99m-DTPA) and was predicted using the Modification of Diet in Renal Disease (MDRD) formula. The other examined parameters were SCr, 24-h UCr and measured 24-h CCr (mCCr). A strict linear correlation was found between 24-h UCr and BCM (r = 0.772). Multiple linear regression (MR) indicated that UCr was positively correlated with BCM, body weight and male gender, and negatively correlated with age and SCr. UCr predicted using the MR equation (MR-UCr) was quite similar to 24-h UCr. CCr predicted from MR-UCr and SCr (MR-BCM-CCr) was very similar to mCCr with a high correlation (r = 0.950), concordance and a low prediction error (8.9 mL/min/1.73 m(2)). From the relationship between the GFR and the BCM/SCr ratio, we predicted the GFR (BCM GFR). The BCM GFR was very similar to the GFR with a high correlation (r = 0.906), concordance and a low prediction error (12.4 mL/min/1.73 m(2)). In CKD patients, UCr, CCr and the GFR can be predicted from body composition analysis.