ArticleDigital health
DNN-derived electrocardiographic age is associated with the atrial fibrillation risk in a Chinese population.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To assess whether DNN-derived electrocardiographic age (ECG-age) and its difference from chronological age (Δage) are associated with odds of atrial fibrillation (AF) in a Chinese population. Methods: In a 1:1 sex-matched case control study, 1,574 patients with AF from Zhongda Hospital and 1,574 community controls from Nanjing were included. ECG-age was estimated using a validated deep neural network trained on the Brazilian CODE cohort. Participants were classified as accelerated, normal, or decelerated aging if Δage was greater than, within, or less than the model's mean absolute error (MAE). Logistic regression and restricted cubic spline (RCS) models assessed associations between Δage and odds of AF. Results: Mean ECG-age exceeded chronological age in both groups (AF: 76.68 ± 7.65 vs. 75.30 ± 10.37 years; controls: 64.21 ± 8.26 vs. 63.35 ± 7.55 years). Logistic regression analysis revealed that each 5-year increased in Δage was associated with a 19.5% increased risk of AF (OR = 1.195, 95% CI: 1.117-1.279). Accelerated aging was associated with a 79.9% increased risk (OR = 1.799, 95% CI: 1.377-2.354), whereas decelerated aging conferred a 32.5% decreased risk of AF (OR = 0.675, 95% CI: 0.481-0.894). RCS analysis demonstrated a U-shaped nonlinear association between Δage and odds of AF (P for nonlinear < 0.001). Conclusions: DNN-derived ECG-age is highly correlated with chronological age in AF, and Δage is also a novel indicator of cardiac aging. Accelerated aging increases odds of AF. Given wide availability and economic ECG, ECG-age could be a promising AI-based novel biomarker for odds of AF in the clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.