Analytic considerations for repeated measures of eGFR in cohort studies of CKD

Haochang Shou, Jesse Y. Hsu, Dawei Xie, Wei Yang, Jason Roy, Amanda H. Anderson, J. Richard Landis, Harold I. Feldman, Afshin Parsa, Christopher Jepson

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Repeated measures of various biomarkers provide opportunities for us to enhance understanding of many important clinical aspects of CKD, including patterns of disease progression, rates of kidney function decline under different risk factors, and the degree of heterogeneity in disease manifestations across patients. However, because of unique features, such as correlations across visits and time dependency, these data must be appropriately handled using longitudinal data analysis methods. We provide a general overview of the characteristics of data collected in cohort studies and compare appropriate statistical methods for the analysis of longitudinal exposures and outcomes. We use examples from the Chronic Renal Insufficiency Cohort Study to illustrate these methods. More specifically, we model longitudinal kidney outcomes over annual clinical visits and assess the association with both baseline and longitudinal risk factors.

Original languageEnglish (US)
Pages (from-to)1357-1365
Number of pages9
JournalClinical Journal of the American Society of Nephrology
Volume12
Issue number8
DOIs
StatePublished - 2017

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Critical Care and Intensive Care Medicine
  • Nephrology
  • Transplantation

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    Shou, H., Hsu, J. Y., Xie, D., Yang, W., Roy, J., Anderson, A. H., Richard Landis, J., Feldman, H. I., Parsa, A., & Jepson, C. (2017). Analytic considerations for repeated measures of eGFR in cohort studies of CKD. Clinical Journal of the American Society of Nephrology, 12(8), 1357-1365. https://doi.org/10.2215/CJN.11311116