Diagnostic patterns and stress testing trends after implementing high-sensitivity troponin assay

Am J Manag Care. 2021 Sep 1;27(9):e293-e300. doi: 10.37765/ajmc.2021.88741.

Abstract

Objectives: High-sensitivity troponin T (hsTnT) testing was approved in the United States to better facilitate diagnosis of acute coronary syndrome (ACS). Although hsTnT has been widely studied internationally, the impact of hsTnT on discharge diagnoses and health care utilization within the United States is less known. We sought to evaluate the effects of implementing hsTnT on diagnosis patterns and stress testing utilization.

Study design: We performed a retrospective cohort analysis consisting of patients with suspected ACS undergoing either conventional troponin I (n = 14,631) or hsTnT (n = 7237) testing between January 2016 and February 2019.

Methods: Log-binomial regression with interrupted time series modeled diagnosis patterns, and logistic regression with segmented time trends modeled stress testing rates. Observed trends were compared with expected trends using average marginal effect (AME).

Results: Rates of acute myocardial infarction-related diagnoses were similar in the post-hsTnT period (AME, -0.6%; P = .065). Post hsTnT introduction, patients were more likely to receive a diagnosis of heart failure (2.1%; P < .001) or atrial fibrillation/flutter (0.9%; P < .001) and less likely to receive a diagnosis of hypertensive heart disease (-10.2%; P < .01) or hypertensive heart disease with chronic kidney disease (-3.7%; P < .001). Likelihood of receiving stress testing increased after hsTnT implementation (2.3%; P < .001).

Conclusions: Variations in discharge diagnosis patterns and increases in stress test utilization were observed following hsTnT implementation. Hospitals can expect similar changes, which may have long-term implications on health care utilization, cost, and hospital reimbursement.

MeSH terms

  • Biomarkers
  • Exercise Test*
  • Humans
  • Retrospective Studies
  • Troponin T
  • Troponin*

Substances

  • Biomarkers
  • Troponin
  • Troponin T