Applications of cardiac biomarkers in chronic kidney disease

Alexander Kula*, Nisha Bansal

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations


Purpose of reviewCardiovascular disease is the leading cause of death in individuals with chronic kidney disease (CKD). The mechanisms connecting CKD and cardiovascular disease are complex, and serum biomarkers can help improve our understanding. Nt-proBNP and troponin have documented success as biomarkers to diagnose and provide mechanistic insights in non-CKD populations. The purpose of this review is to summarize evidence suggesting efficacy and potential for clinical application of Nt-proBNP and troponin in individuals with CKD.Recent findingsOur understanding of how Nt-proBNP and Troponin should be interpreted in those with CKD is evolving. Although both biomarkers are in part cleared by the kidney, elevated levels predominantly reflect cardiovascular disease. Both Nt-proBNP and troponin are associated with risk for future cardiovascular events in CKD. Determining CKD-specific cutoffs and using biomarkers to guide therapy remains under active investigation.SummaryOf the many serum biomarkers under investigation, Nt-proBNP and troponin best meet the criteria for effective biomarkers in CKD. Assays are widely available and proven to be accurate in CKD populations. Nt-proBNP and troponin deserve special focus in ongoing research of cardiovascular risk reduction in CKD, especially to identify patients at the highest risk, suggest targetable mechanisms and assess treatment efficacy.

Original languageEnglish (US)
Pages (from-to)534-540
Number of pages7
JournalCurrent opinion in nephrology and hypertension
Issue number6
StatePublished - Nov 1 2022


  • biomarkers
  • cardiovascular disease
  • chronic kidney disease
  • mechanisms of disease
  • therapeutic targets

ASJC Scopus subject areas

  • Nephrology
  • Internal Medicine


Dive into the research topics of 'Applications of cardiac biomarkers in chronic kidney disease'. Together they form a unique fingerprint.

Cite this