title: Positive Predictive Value of a Single Assessment of Estimated GFR in the Diagnosis of Chronic Kidney Disease.
abstract: The positive predictive value (PPV) of a single assessment of estimated glomerular filtration rate (eGFR) in the diagnosis of chronic kidney disease (CKD) is not known. Our objective was to determine the PPV of a single assessment of eGFR among adults with at least one eGFR <60 mL/min in their lifetime, using the Distributed Area Research and Therapeutics Network CKD natural history dataset.
  
  
  
  In all, 47,104 adults who were cared for by 113 practices in the United States were included. Proportions of patients in eGFR categories at baseline were calculated using the following categories: <15 mL/min, 15 to 29.99 mL/min, 30 to 44.99 mL/min, and 45 to 59.99 mL/min. Comparisons were then made between the baseline and the endpoint to identify patients who had a follow-up eGFR that remained at <60 mL/min. The proportions of patients in each eGFR category were compared baseline to endpoint using cross-tabulations. To test the proposed cutpoint, the proportions of patients who had an eGFR that remained at <60 mL/min were measured, using the cutpoints that included the highest cumulative proportion of patients. The sensitivity and specificity of that cutpoint were calculated.
  
  
  
  A cutpoint of <45 mL/min was identified, yielding a PPV of 93% with a sensitivity of 28% and a specificity of 94%.
  
  
  
  A valid cutpoint to screen for CKD was identified. This cutpoint may prove important to early screening for CKD while reducing the burden on the healthcare system and patients suspected of having CKD.
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Nikhil
authors.initials: N
authors.lastname: Satchidanand
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Matthew
authors.initials: M
authors.lastname: Withiam-Leitch
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Miriam
authors.initials: M
authors.lastname: Dickinson
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Wilson
authors.initials: W
authors.lastname: Pace
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Caroline
authors.initials: C
authors.lastname: Bublitz-Emsermann
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Geoffrey M
authors.initials: GM
authors.lastname: Allen
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Min
authors.initials: M
authors.lastname: Yang
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Joseph
authors.initials: J
authors.lastname: Vassalotti
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Pradeep
authors.initials: P
authors.lastname: Arora
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Patrick
authors.initials: P
authors.lastname: Glasgow
authors.affiliation: From the University at Buffalo, State University of New York, Buffalo, the University of Colorado, Denver, and Mount Sinai Hospital, New York, NY.
authors.forename: Chester
authors.initials: C
authors.lastname: Fox
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D005260:Female; D005919:Glomerular Filtration Rate; D006801:Humans; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D051436:Renal Insufficiency, Chronic / Q000175:diagnosis* / Q000503:physiopathology; D012680:Sensitivity and Specificity