ArticleRespiratory research2025
ECG-based identification of COPD patients at risk for atrial fibrillation and its impact on adverse clinical outcomes-a subgroup analysis of the prospective multicenter COSYCONET cohort.
Article in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01245933 (Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD), which is not on this map. Cited by 1 paper.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD
Who cites it
1 citing paper in PubMed.
- Head-to-head comparison of non-invasive markers of atrial cardiomyopathy and their association with arrhythmia recurrence after atrial fibrillation ablation.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
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25 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAtrial fibrillation (AF) frequently occurs in patients with chronic obstructive pulmonary disease (COPD) and is associated with adverse clinical outcomes. We aimed to identify patients at risk for AF using amplified p-wave duration (APWD) analysis on electrocardiogram (ECG) as non-invasive tool to diagnose an atrial cardiomyopathy (AtCM) which is an established risk factor for AF.
methodsThis subgroup analysis of the prospective COSYCONET cohort included 2,385 COPD patients from 31 study centers with baseline sinus rhythm ECG and at least one follow-up examination. Of these, 73 patients showed AF during follow-up and were propensity-score matched to controls. APWD was measured at baseline and future major adverse cardiac and cerebrovascular events (MACCE) and health related outcome were assessed.
results219 COPD patients (70 [64-74] years, 79.5% male) were analyzed during a follow-up of 586 (210-1137) days. APWD was significantly longer in patients with AF occurrence compared to controls (132 [125-141] ms vs. 124 [117-133] ms, p < 0.001) and remained significant in multivariate regression analysis (OR: 1.05 [1.01-1.09], p = 0.03). An APWD ≥ 131 ms was identified as best cut-off for AF prediction (62% sensitivity, 70% specificity, OR: 3.91 [2.58 to 5.95], p < 0.001). Patients with AF had a significantly higher MACCE rate (24.7% versus 8.2%, p = 0.001) and a significantly lower physical activity score (1,074 [264-4,776] vs. 2,706 [975-7,339], p = 0.008).
conclusionsThis study demonstrates that ECG-based AtCM diagnosis identifies COPD patients at risk for AF, which was associated with a substantially elevated MACCE rate and a significantly reduced physical activity. This easy, cost-effective and widely available digital biomarker might enable early therapy initiation and prevention of adverse clinical outcomes.
trial registrationNCT01245933 on Clinical-Trials.gov (Registration date: 22.11.2010).
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