Canaud Bernard, Granger Vallée Alexandre, Molinari Nicolas, Chenine Leila, Leray-Moragues Hélène, Rodriguez Annie, Chalabi Lotfi, Morena Marion, Cristol Jean-Paul
Nephrology, Dialysis and Intensive Care Unit, CHRU, Montpellier, France; Dialysis Research and Training Institute, Montpellier, France.
Nephrology, Dialysis and Intensive Care Unit, CHRU, Montpellier, France.
PLoS One. 2014 Mar 26;9(3):e93286. doi: 10.1371/journal.pone.0093286. eCollection 2014.
Protein-energy wasting is common in long-term haemodialysis (HD) patients with chronic kidney disease and is associated with increased morbidity and mortality. The creatinine index (CI) is a simple and useful nutritional parameter reflecting the dietary skeletal muscle protein intake and skeletal muscle mass of the patient. Because of the complexity of creatinine kinetic modeling (CKM) to derive CI, we developed a more simplified formula to estimate CI in HD patients.
DESIGN, SETTING, PARTICIPANTS & MEASUREMENTS: A large database of 549 HD patients followed over more than 20 years including monthly CKM-derived CI values was used to develop a simple equation based on patient demographics, predialysis serum creatinine values and dialysis dose (spKt/V) using mixed regression models.
The equation to estimate CI was developed based on age, gender, pre-dialysis serum creatinine concentrations and spKt/V urea. The equation-derived CI correlated strongly with the measured CI using CKM (correlation coefficient = 0.79, p-value <0.001). The mean error of CI prediction using the equation was 13.47%. Preliminary examples of few typical HD patients have been used to illustrate the clinical relevance and potential usefulness of CI.
The elementary equation used to derive CI using demographic parameters, pre-dialysis serum creatinine concentrations and dialysis dose is a simple and accurate surrogate measure for muscle mass estimation. However, the predictive value of the simplified CI assessment method on mortality deserves further evaluation in large cohorts of HD patients.
蛋白质 - 能量消耗在患有慢性肾病的长期血液透析(HD)患者中很常见,且与发病率和死亡率增加相关。肌酐指数(CI)是一个简单且有用的营养参数,反映患者的膳食骨骼肌蛋白摄入量和骨骼肌质量。由于推导CI的肌酐动力学建模(CKM)较为复杂,我们开发了一个更简化的公式来估算HD患者的CI。
设计、地点、参与者及测量方法:使用一个包含549例HD患者超过20年随访数据的大型数据库,其中包括每月通过CKM得出的CI值,利用混合回归模型,基于患者人口统计学特征、透析前血清肌酐值和透析剂量(spKt/V)建立一个简单方程。
基于年龄、性别、透析前血清肌酐浓度和spKt/V尿素建立了估算CI的方程。该方程得出的CI与使用CKM测量的CI高度相关(相关系数 = 0.79,p值<0.001)。使用该方程预测CI的平均误差为13.47%。已使用少数典型HD患者的初步示例来说明CI的临床相关性和潜在用途。
使用人口统计学参数、透析前血清肌酐浓度和透析剂量推导CI的基本方程是一种简单且准确的估算肌肉质量的替代方法。然而,简化的CI评估方法对死亡率的预测价值值得在大量HD患者队列中进一步评估。