Key result
Novel clinical risk score predicts 3-month pacemaker risk in newly diagnosed AF with ~63 AUC.
Why the study?
To identify risk factors and develop a predictive risk score for pacemaker implantation in patients with AF.
What are the risk factors for pacemaker implantation in patients with newly diagnosed atrial fibrillation, and can a risk score predict the 3-month risk?
Cohort (n=155,934)
Yes
What are the risk factors for pacemaker implantation in patients with newly diagnosed atrial fibrillation, and can a risk score predict the 3-month risk?
Effect estimate: AUC 62.9 (95% CI 60.3-65.5)
A newly developed clinical risk score can predict the 3-month risk of pacemaker implantation in patients with newly diagnosed atrial fibrillation, though its predictive accuracy is modest (AUC 62.9).
Modest discrimination cautions against clinical adoption of this AF risk score; leaves open need for external validation before any utility assessment.
Objectives: To identify risk factors and to develop a predictive risk score for pacemaker implantation in patients with atrial fibrillation (AF). Methods: Using Danish nationwide registries, patients with newly diagnosed AF from 2000 to 2014 were identified. Cox proportional-hazards regression computed HRs for risk factors of pacemaker implantation. A logistic regression was used to fit a prediction model for 3-month risk of pacemaker implantation and derived a risk score using 80% of the data and its predictive accuracy estimated using the remaining 20%. Results: Among 155 934 AF patients included, the median age (IQR) was 75 (65-83) and 51.3% were men. During a median follow-up time of 3.4 (1.2-5.0) years, 8348 (5.4%) patients received a pacemaker implantation. Risk factors of pacemaker implantation were (in order of highest risk first) age above 60 years, congenital heart disease, heart failure at age under 60 years, prior syncope, valvular AF, hypertension, ischaemic heart disease, male sex and diabetes mellitus. The derived risk score assigns points ranging from 1 to 14 to each of these risk factors. The 3-month risk of pacemaker implantation increased from 0.4% (95% CI: 0.2 to 0.8) at 1 point to 2.6% (95% CI: 1.9 to 3.6) at 18 points. Area under the receiver operator characteristics curve was 62.9 (95% CI: 60.3 to 65.5). Conclusion: We highlighted risk factors of pacemaker implantation in newly diagnosed AF patients and created a risk score. The clinical utility of the risk score needs further investigation.
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Dalgaard et al. (2020) conducted a cohort in Atrial fibrillation (n=155,934). Risk score for pacemaker implantation was evaluated on Pacemaker implantation (AUC 62.9, 95% CI 60.3-65.5). A novel clinical risk score predicted the 3-month risk of pacemaker implantation in patients with newly diagnosed atrial fibrillation with an area under the curve of 62.9 (95% CI 60.3-65.5).
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