Improving the diagnostic performance of troponin assays for acute myocardial infarction in renal impairment

Background Serum troponin measurement forms a cornerstone of acute myocardial infarction (AMI) diagnosis. A major challenge is interpretation of an elevated first troponin in patients with impaired renal function. We aimed to (1) evaluate the relationship between estimated glomerular filtration rate (eGFR) and first troponin, (2) characterise the performance of different troponin assays for diagnosing AMI and (3) derive eGFR-specific thresholds for potential clinical use. Methods We analysed the distribution of troponin values stratified by eGFR and AMI. Diagnostic performance was analysed using the C-statistic. Test detection rate, false positive rate and positive predictive value were calculated for different cut-offs. Results We included 221 175 patients between 2010 and 2017 from four acute tertiary care hospitals in London, UK, with a median age of 65 years (IQR 49–79). eGFR was<60 mL/min/1.73 m 2 in 20.6% of patients and 6.4% of patients had a diagnosis of AMI. In patients without AMI, we observed an inverse log-linear relationship between eGFR and troponin. Diagnostic performance for AMI was best in patients with eGFR>90 (C-statistic 0.93) and worst in eGFR<15 (C-statistic 0.81). For high-sensitive troponin T, using the conventional cut-off of 14 ng/L, false positive rates ranged from 68–93% for eGFRs between 15 and 60 mL/min/1.73 m 2 . Restricting the false positive rate to 15% yields eGFR specific cut-offs of 73, 112 and 184 ng/L, with detection rates of 73%, 70% and 68% in patients with an eGFR of 45–60, 30–45 or 15–30 mL/min/1.73 m 2 . Conclusions The diagnostic performance of an unadjusted troponin cut-off for AMI falls with worsening renal function. We propose consideration of eGFR specific cut-offs to support more effective triage and early management of suspected AMI in patients with renal impairment. Trial registration number NCT03507309 .

Authors

Institutions

Publication Details

Journal
Heart
Published
2026-06-09
DOI
https://doi.org/10.1136/heartjnl-2025-327658
Primary Topic
Acute Myocardial Infarction Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving the diagnostic performance of troponin assays for acute myocardial infarction in renal impairment

Ben Glampson, Keith M. Channon, Kevin O’Gallagher, Bryan Williams et al.
Heart
Acute Myocardial Infarction Research
article

Improving the diagnostic performance of troponin assays for acute myocardial infarction in renal impairment

Ben Glampson, Keith M. Channon, Kevin O’Gallagher, Bryan Williams, Stuart W Grant, Didier Collard, Abdulrahim Mulla, J Davies, Kerrie Woods, Rajesh Kharbanda, Anoop D Shah, Amit Kaura, Yang Chen, Harry Hemingway, Riyaz S. Patel, Dimitri Papadimitriou, Richard Lee, C Herbert, I Squire, D Perera, Erik Mayer, Nick Curzen, Tom Johnson, Folkert W Asselbergs, Jamil Mayet, Aroon D Hingorani, Ajay M Shah
article en

Abstract

Background Serum troponin measurement forms a cornerstone of acute myocardial infarction (AMI) diagnosis. A major challenge is interpretation of an elevated first troponin in patients with impaired renal function. We aimed to (1) evaluate the relationship between estimated glomerular filtration rate (eGFR) and first troponin, (2) characterise the performance of different troponin assays for diagnosing AMI and (3) derive eGFR-specific thresholds for potential clinical use. Methods We analysed the distribution of troponin values stratified by eGFR and AMI. Diagnostic performance was analysed using the C-statistic. Test detection rate, false positive rate and positive predictive value were calculated for different cut-offs. Results We included 221 175 patients between 2010 and 2017 from four acute tertiary care hospitals in London, UK, with a median age of 65 years (IQR 49–79). eGFR was<60 mL/min/1.73 m 2 in 20.6% of patients and 6.4% of patients had a diagnosis of AMI. In patients without AMI, we observed an inverse log-linear relationship between eGFR and troponin. Diagnostic performance for AMI was best in patients with eGFR>90 (C-statistic 0.93) and worst in eGFR<15 (C-statistic 0.81). For high-sensitive troponin T, using the conventional cut-off of 14 ng/L, false positive rates ranged from 68–93% for eGFRs between 15 and 60 mL/min/1.73 m 2 . Restricting the false positive rate to 15% yields eGFR specific cut-offs of 73, 112 and 184 ng/L, with detection rates of 73%, 70% and 68% in patients with an eGFR of 45–60, 30–45 or 15–30 mL/min/1.73 m 2 . Conclusions The diagnostic performance of an unadjusted troponin cut-off for AMI falls with worsening renal function. We propose consideration of eGFR specific cut-offs to support more effective triage and early management of suspected AMI in patients with renal impairment. Trial registration number NCT03507309 .

Heart
University of Leeds (GB), Imperial College Healthcare NHS Trust (GB), University of Leicester (GB), King's College London (GB), Leeds Teaching Hospitals NHS Trust (GB), University Hospitals Bristol NHS Foundation Trust (GB), Glenfield Hospital (GB), University Hospital Southampton NHS Foundation Trust (GB), British Heart Foundation (GB), University of Bristol (GB), University of Oxford (GB), Institute of Cancer Research (CA), Manchester University NHS Foundation Trust (GB), NIHR Imperial Biomedical Research Centre (GB), King's College Hospital NHS Foundation Trust (GB), Royal Marsden Hospital (GB), UCL Biomedical Research Centre (GB), Oxford BioMedica (United Kingdom) (GB), Amsterdam University Medical Centers (NL), King's College Hospital (GB), NIHR Manchester Biomedical Research Centre (GB), NIHR Leicester Biomedical Research Centre (GB), University of Southampton (GB), University Hospitals Bristol and Weston NHS Foundation Trust (GB), University College London (GB), Imperial College London (GB), University of Amsterdam (NL)
National Institute for Health and Care Research
Good health and well-being
Openalex Percentile: Top 7%
Acute Myocardial Infarction Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.