High-sensitivity troponin I and all-cause mortality in patients with stable COPD: an analysis of the COSYCONET study
Benjamin Waschki1,2,3,4, Peter Alter3,5, Tanja Zeller6,4
1Dept of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany b.waschki@uke.de.
Insights
High-sensitivity troponin I (hs-TnI) predicts mortality in stable chronic obstructive pulmonary disease (COPD) patients. Even levels below the reference limit offer prognostic value beyond existing assessments for COPD mortality.
Area of Science:
- Cardiology
- Pulmonology
- Biomarkers
Background:
- Chronic obstructive pulmonary disease (COPD) is a major cause of mortality, often linked to cardiovascular diseases.
- Identifying high-risk COPD patients for mortality is crucial for effective management.
- High-sensitivity troponin I (hs-TnI) is a potential biomarker for cardiovascular risk stratification.
Purpose of the Study:
- To evaluate the predictive value of hs-TnI for all-cause mortality in stable COPD patients.
- To determine if hs-TnI provides prognostic information beyond established COPD assessments.
- To assess hs-TnI's independence from cardiovascular risk factors and diseases in COPD.
Main Methods:
- A cohort of 2085 stable COPD patients from the COSYCONET study was analyzed.
- Circulating hs-TnI concentrations were measured alongside respiratory and cardiovascular markers.
- All-cause mortality over a 3-year follow-up was the primary outcome, analyzed using Cox regression.
Main Results:
- Hs-TnI was detectable in 96.9% of patients, with a median of 3.8 ng·L⁻¹.
- Elevated hs-TnI levels significantly predicted all-cause mortality in COPD patients.
- Hs-TnI remained a significant predictor even after adjusting for COPD severity, cardiovascular factors, and comorbidities.
Conclusions:
- Hs-TnI is a potent predictor of all-cause mortality in stable COPD patients.
- Hs-TnI offers prognostic value independent of established COPD risk factors and cardiovascular disease burden.
- Hs-TnI concentrations, even below the upper reference limit, enhance risk assessment in COPD.
Abstract:
Chronic obstructive pulmonary disease (COPD) is a leading cause of death with a considerable part of the population dying from cardiovascular diseases. High-sensitivity troponin I (hs-TnI) might help to better identify COPD patients at high risk of mortality. We aimed to study the predictive value of hs-TnI for all-cause mortality beyond established COPD assessments, and after consideration of relevant cardiovascular risk factors and prevalent cardiovascular diseases, in a broad population with stable COPD.Circulating hs-TnI concentrations together with a wide range of respiratory and cardiovascular markers were evaluated in 2085 patients with stable COPD across all severity stages enrolled in the multicentre COSYCONET cohort study. The primary outcome was all-cause mortality over 3 years of follow-up.Hs-TnI was detectable in 2020 (96.9%) patients. The median hs-TnI concentration was 3.8 ng·L-1 (interquartile range 2.5-6.6 ng·L-1), with levels above the 99th percentile reference limit of 27 ng·L-1 observed in 1.8% of patients. In Cox regression analyses including adjustments for airflow limitation, dyspnoea grade, exercise capacity and history of severe exacerbations, as well as traditional cardiovascular risk factors, estimated glomerular filtration rate, ankle-brachial index, N-terminal pro-brain natriuretic peptides and prevalent cardiovascular diseases, hs-TnI was a significant predictor for all-cause mortality, both as a continuous variable (hazard ratio (HR) for log hs-TnI 1.28, 95% CI 1.01-1.62) and categorised according to the cut-off of 6 ng·L-1 (HR 1.63, 95% CI 1.10-2.42).In patients with stable COPD, hs-TnI is a strong predictor of all-cause mortality beyond established COPD mortality predictors, and independent of a broad range of cardiovascular risk factors and prevalent cardiovascular diseases. Hs-TnI concentrations well below the upper reference limit provide further prognostic value for all patients with COPD when added to established risk assessments.
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