Cardiac Troponin T Risk Stratification Model Predicts All-Cause Mortality Following Kidney Transplant

Am J Nephrol. 2018;48(4):242-250. doi: 10.1159/000493273. Epub 2018 Sep 20.

Abstract

Background: We evaluated the role of increased cardiac troponin T (cTnT), vascular, and cardiac diseases in predicting 5 and 10-year all-cause mortality after kidney transplantation.

Methods: We reviewed a cohort of 764 kidney transplant recipients and analyzed pertinent cardiovascular risk factors at the time of transplant evaluation. Proportional hazards regression analysis with bootstrapping method was utilized to provide a risk stratification score for mortality.

Results: Mean age was 58.8 years (SD 12.1) and median follow-up was 7.0 years (range 1 day to 18.0 years). Fifty-four percent of patients (n = 415) had cTnT measured (median 0.02 ng/mL, range 0.01-4.91). Fifty-three percent (n = 407) had vascular disease, 59% (n = 448) had diabetes, and 44% (n = 336) had cardiac disease pre-transplant. Sixty percent (n = 460) required dialysis. Older age, increased cTnT, pre-transplant vascular and cardiac diseases predicted mortality in multivariate analysis. We derived 2 scoring systems with and without cTnT - the ACV and ACTV scores (age, cardiac disease, elevated cTnT, and vascular disease) - as predictors of mortality after kidney transplant. Point assignments were: age 60-69 years (1), age ≥70 years (2), cardiac disease (1), cTnT ≥0.04 ng/mL (1), and vascular disease (1). Both scoring systems significantly predicted mortality. The ACTV score better delineated risk stratification across score levels (0-2, 3-4, and 5 points).

Conclusions: We developed a risk schema predictive of all-cause mortality after kidney transplant in a derivation cohort. The ACTV score, including an elevated cTnT, provided superior prediction compared to a scoring system without cTnT. Further studies to validate these findings are needed.

Keywords: Cardiovascular disease; Clinical prediction; Kidney transplant; Mortality; Troponin.

MeSH terms

  • Aged
  • Biomarkers / blood
  • Cardiovascular Diseases / blood
  • Cardiovascular Diseases / epidemiology*
  • Comorbidity
  • Female
  • Follow-Up Studies
  • Humans
  • Kidney Failure, Chronic / blood
  • Kidney Failure, Chronic / mortality*
  • Kidney Failure, Chronic / therapy
  • Kidney Transplantation*
  • Male
  • Middle Aged
  • Patient Selection*
  • Predictive Value of Tests
  • Preoperative Period
  • Proportional Hazards Models
  • Renal Dialysis / statistics & numerical data
  • Retrospective Studies
  • Risk Assessment / methods
  • Risk Factors
  • Survival Analysis
  • Transplant Recipients / statistics & numerical data
  • Troponin T / blood*

Substances

  • Biomarkers
  • TNNT2 protein, human
  • Troponin T