Comparison of the Association Between High-Sensitivity Troponin I and Adverse Cardiovascular Outcomes in Patients

Pratik B Sandesara1, Wesley T O'Neal1, Ayman Samman Tahhan1

  • 1Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Emory University School of Medicine, Atlanta, Georgia.

Insights

High-sensitivity troponin I (hs-TnI) predicts adverse cardiovascular events more strongly in patients with chronic kidney disease (CKD). This finding highlights the need for aggressive risk factor modification in CKD patients identified as high-risk by hs-TnI.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarkers

Background:

  • Chronic kidney disease (CKD) is associated with increased cardiovascular risk.
  • The prognostic value of high-sensitivity troponin I (hs-TnI) in patients with CKD is not well-established.
  • Understanding hs-TnI's predictive power across the CKD spectrum is crucial for risk stratification.

Purpose of the Study:

  • To investigate whether the association between hs-TnI and adverse cardiovascular outcomes differs in patients with and without CKD.
  • To determine if hs-TnI can identify high-risk individuals within the CKD population.
  • To assess the role of hs-TnI in predicting mortality, cardiovascular death, and MACE in patients undergoing coronary angiography.

Main Methods:

  • Analysis of 4,107 patients from the Emory Cardiovascular Biobank who underwent coronary angiography.
  • Definition of CKD based on estimated glomerular filtration rate (<60 mL/min/1.73 m²) or urine albumin/creatinine ratio (>30 mg/g).
  • Cox regression models used to calculate hazard ratios for hs-TnI (per doubling) and adverse cardiovascular outcomes (death, cardiovascular death, MACE), with interaction analyses for CKD status.

Main Results:

  • Hs-TnI was a stronger predictor of death in patients with CKD compared to those without (p-interaction=0.023).
  • The association between hs-TnI and death was significantly stronger in CKD patients without obstructive coronary artery disease (p-interaction=0.041).
  • Hs-TnI demonstrated a trend towards stronger prediction of cardiovascular death (p-interaction=0.12) and MACE (p-interaction=0.095) in CKD patients.

Conclusions:

  • Hs-TnI is a more potent predictor of adverse cardiovascular events in patients with CKD than in those without.
  • Hs-TnI can identify high-risk CKD patients, including those without obstructive coronary artery disease, who may benefit from intensified risk factor management.
  • These findings underscore the importance of hs-TnI in cardiovascular risk assessment for CKD patients.

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