Identification of biomarkers for predicting new-onset atrial fibrillation: a systematic review and meta-analysis - Summary - MDSpire

Identification of biomarkers for predicting new-onset atrial fibrillation: a systematic review and meta-analysis

  • By

  • Darío Mandaglio-Collados

  • María Pilar Ramos-Bratos

  • José Miguel Rivera-Caravaca

  • Eva Soler-Espejo

  • Vanessa Roldán

  • Gregory Y H Lip

  • Raquel López-Gálvez

  • Francisco Marín

  • January 29, 2026

  • 0 min

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Objective:

To explore biomarkers that predict new-onset atrial fibrillation (AF) and their potential to improve early diagnosis and risk stratification in high-risk patient populations, including those with comorbidities.

Key Findings:
  • Eighteen biomarkers were associated with increased risk of new-onset AF, notably NT-proBNP and sVCAM-1.
  • Nine biomarkers were linked to lower AF incidence, including ADAMTS13 (HR 0.78, 95% CI 0.70–0.88).
  • Meta-analysis showed NT-proBNP significantly associated with higher AF incidence (HR 1.37, 95% CI 1.19–1.59) and Lp(a) with a 3% increase in AF incidence per 20 mg/dL increment.
Interpretation:

Established biomarkers like NT-proBNP and emerging candidates such as Lp(a) and sVCAM-1 could enhance early diagnosis and preventive management of AF, potentially reducing the risk of stroke and other complications.

Limitations:
  • Exclusion of studies analyzing specific populations and those with prior or postoperative AF.
  • Need for large-scale prospective studies to validate and optimize the diagnostic utility of identified biomarkers.
  • Potential biases in the included studies may affect the generalizability of the findings.
Conclusion:

The study confirms the association of biomarkers with new-onset AF, suggesting their potential role in improving diagnosis and risk management.

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