Fraser, SD;
              
      
            
                Aitken, G;
              
      
            
                Taal, MW;
              
      
            
                Mindell, JS;
              
      
            
                Moon, G;
              
      
            
                Day, J;
              
      
            
                O'Donoghue, D;
              
      
            
            
          
      
        
        
        
    
  
(2015)
  Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England.
PLoS One
, 10
       (2)
    
    
    
    , Article e0118676.     10.1371/journal.pone.0118676.
  
  
       
    
  
| Preview | Text Mindell_Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England..pdf Download (644kB) | Preview | 
Abstract
Chronic kidney disease (CKD) diagnosis relies on glomerular filtration rate (eGFR) estimation, traditionally using the creatinine-based Modification of Diet in Renal Disease (MDRD) equation. The Chronic Kidney Disease Epidemiology Collaboration (CKDEPI) equation performs better in estimating eGFR and predicting mortality and CKD progression risk. Cystatin C is an alternative glomerular filtration marker less influenced by muscle mass. CKD risk stratification is improved by combining creatinine eGFR with cystatin C and urinary albumin to creatinine ratio (uACR). We aimed to identify the impact of introducing CKDEPI and cystatin C on the estimated prevalence and risk stratification of CKD in England and to describe prevalence and associations of cystatin C.
| Type: | Article | 
|---|---|
| Title: | Exploration of chronic kidney disease prevalence estimates using new measures of kidney function in the health survey for England | 
| Location: | United States | 
| Open access status: | An open access version is available from UCL Discovery | 
| DOI: | 10.1371/journal.pone.0118676 | 
| Publisher version: | http://dx.doi.org/10.1371/journal.pone.0118676 | 
| Language: | English | 
| Additional information: | © 2015 Fraser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License [ http://creativecommons.org/licenses/by/4.0/ ], which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | 
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health | 
| URI: | https://discovery.ucl.ac.uk/id/eprint/1464642 | 
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