A simpler creatinine index can predict long- term survival in Chinese hemodialysis patients
Journal
PLoS ONE
Journal Volume
11
Journal Issue
10
Pages
e0165164
Date Issued
2016
Author(s)
Abstract
Background Low lean body mass (LBM) is an indicator of malnutrition inflammation syndrome, which is common in hemodialysis (HD) patients. The creatinine index (CI) has been validated as a reliable method to estimate LBM and evaluate the protein-energy status of HD patients. However, the traditional creatinine index formula was complex. We sought to investigate the impact of CI derived from a new simple formula on Chinese HD patient outcomes. Methods In this retrospective cohort study, we enrolled 1269 patients who initiated HD between February 1981 and February 2012 and followed them until the end of February 2013. CI was calculated using the simple creatinine kinetic model (CKM) formula. Multiple linear regression analysis and Cox regression proportional hazard analysis were used to define independent variables and compare survival between groups. Results The 1269 HD patients were categorized into 3 groups according to the tertiles of calculated CI between men and women. Each group consisted of 423 patients (50.6% men, 49.4% women). Patients in the highest sex-specific tertile of CI had longer overall survival (HR, 0.46; P 0.002). BMI did not significantly associate with survival after adjustment (HR,0.99; P 0.613). Conclusions CI derived from the simple CKM formula serves as a good parameter than BMI to predict the survival of HD patients. The formula could extend its convenient use in clinical practice for HD patients. © 2016 Huang et al.
SDGs
Other Subjects
adult; aged; Article; body mass; Chinese; cohort analysis; creatinine index; female; hemodialysis patient; human; lean body weight; major clinical study; male; overall survival; prognosis; renal system parameters; retrospective study; survival; adverse effects; Asian continental ancestry group; hemodialysis; Kidney Failure, Chronic; metabolism; middle aged; regression analysis; survival analysis; treatment outcome; very elderly; creatinine; Adult; Aged; Aged, 80 and over; Asian Continental Ancestry Group; Body Mass Index; Creatinine; Female; Humans; Kidney Failure, Chronic; Male; Middle Aged; Prognosis; Regression Analysis; Renal Dialysis; Retrospective Studies; Survival Analysis; Treatment Outcome
Publisher
Public Library of Science
Type
journal article