Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium

CKD Prognosis Consortium

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Rationale & Objective: Chronic kidney disease (CKD) is complicated by abnormalities that reflect disruption in filtration, tubular, and endocrine functions of the kidney. Our aim was to explore the relationship of specific laboratory result abnormalities and hypertension with the estimated glomerular filtration rate (eGFR) and albuminuria CKD staging framework. Study Design: Cross-sectional individual participant-level analyses in a global consortium. Setting & Study Populations: 17 CKD and 38 general population and high-risk cohorts. Selection Criteria for Studies: Cohorts in the CKD Prognosis Consortium with data for eGFR and albuminuria, as well as a measurement of hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, or calcium, or hypertension. Data Extraction: Data were obtained and analyzed between July 2015 and January 2018. Analytical Approach: We modeled the association of eGFR and albuminuria with hemoglobin, bicarbonate, phosphorus, parathyroid hormone, potassium, and calcium values using linear regression and with hypertension and categorical definitions of each abnormality using logistic regression. Results were pooled using random-effects meta-analyses. Results: The CKD cohorts (n = 254,666 participants) were 27% women and 10% black, with a mean age of 69 (SD, 12) years. The general population/high-risk cohorts (n = 1,758,334) were 50% women and 2% black, with a mean age of 50 (16) years. There was a strong graded association between lower eGFR and all laboratory result abnormalities (ORs ranging from 3.27 [95% CI, 2.68-3.97] to 8.91 [95% CI, 7.22-10.99] comparing eGFRs of 15 to 29 with eGFRs of 45 to 59 mL/min/1.73 m2), whereas albuminuria had equivocal or weak associations with abnormalities (ORs ranging from 0.77 [95% CI, 0.60-0.99] to 1.92 [95% CI, 1.65-2.24] comparing urinary albumin-creatinine ratio > 300 vs < 30 mg/g). Limitations: Variations in study era, health care delivery system, typical diet, and laboratory assays. Conclusions: Lower eGFR was strongly associated with higher odds of multiple laboratory result abnormalities. Knowledge of risk associations might help guide management in the heterogeneous group of patients with CKD.

Original languageEnglish (US)
Pages (from-to)206-217
Number of pages12
JournalAmerican Journal of Kidney Diseases
Volume73
Issue number2
DOIs
StatePublished - Feb 1 2019

Bibliographical note

Funding Information:
Support: The CKD-PC Data Coordinating Center is funded in part by a program grant from the US National Kidney Foundation (NKF) and the National Institute of Diabetes and Digestive and Kidney Diseases (R01DK100446-01). A variety of sources have supported enrollment and data collection including laboratory measurements, and follow-up in the collaborating cohorts of the CKD-PC. These funding sources include government agencies such as National Institutes of Health (NIH) and medical research councils, as well as foundations and industry sponsors listed in Item S3 in the supplement. The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Keywords

  • CKD Prognosis Consortium
  • CKD stage
  • Chronic kidney disease (CKD)
  • albuminuria
  • anemia
  • diabetes
  • glomerular filtration rate (GFR)
  • hematocrit
  • hemoglobin
  • hyperparathyroidism
  • hypertension
  • individual-level meta-analysis
  • kidney function
  • laboratory abnormality
  • laboratory tests
  • meta-analysis
  • serum bicarbonate
  • serum calcium
  • serum intact parathyroid hormone
  • serum phosphorus
  • serum potassium
  • staging system

Fingerprint Dive into the research topics of 'Relationship of Estimated GFR and Albuminuria to Concurrent Laboratory Abnormalities: An Individual Participant Data Meta-analysis in a Global Consortium'. Together they form a unique fingerprint.

Cite this