Atrial fibrillation

Disease27 papers19 findingsMeSH D001281

Human cohort studies link atrial fibrillation to higher risk of out-of-hospital cardiac arrest, driven by genetic, multi-biomarker, artificial intelligence electrocardiogram, sleep, and structural cardiac risk factors. Reviews also note predictive roles for machine learning and photoplethysmography.

  • Humans19
  • In silico2

Associations

17

Multi-biomarker risk score

upin humans1HR 2.72

1 study
  1. Multi-biomarker risk score predicts atrial fibrillation in humans.

    Humansbeyond CHARGE-AF

    Biomarker score with ketone bodies predicts atrial fibrillation · Progress in cardiovascular diseases · 30 Sep 2026

  2. Multi-biomarker risk score is associated with atrial fibrillation in humans.

    Humans16.4 years

    Biomarker score with ketone bodies predicts atrial fibrillation · Progress in cardiovascular diseases · 30 Sep 2026

  3. Multi-biomarker risk score raises the risk of atrial fibrillation in humans (HR 2.72, 95% CI, 2.11-3.49).

    Humansversus Very Low Risk Score = 016.4 years

    Biomarker score with ketone bodies predicts atrial fibrillation · Progress in cardiovascular diseases · 30 Sep 2026

Multi-biomarker risk score →

Machine-learning

upin humans1

1 study
  1. machine-learning predicts atrial fibrillation in humans.

    Review

    [Atrial fibrillation screening-reading the P-wave] · Innere Medizin (Heidelberg, Germany) · 2 Oct 2026

P-wave duration

upin humans1

1 study
  1. P-wave duration predicts atrial fibrillation in humans.

    Review

    [Atrial fibrillation screening-reading the P-wave] · Innere Medizin (Heidelberg, Germany) · 2 Oct 2026

P-wave duration →

Omega-3 fatty acids

upin reviews1

1 study
  1. Omega-3 fatty acids raise the risk of atrial fibrillation.

    Reviewhigh-dose formulations in high-risk populations

    Diet and Risk of Cardiovascular Disease · The American journal of medicine · 1 Oct 2026

Omega-3 fatty acids →

Obstructive sleep apnea

upin humans1

1 study
  1. Obstructive sleep apnea raises the risk of atrial fibrillation in humans.

    Humansin underweight with low waist circumference and severe obesity with high waist circumference groups

    Long-Term Cardiovascular Outcomes of Obstructive Sleep Apnea by Adiposity Phenotype: A Korean Nationwide Cohort Study · Research Square · 29 Sep 2026 · Preprint

Obstructive sleep apnea →

Retinal nerve fiber layer asymmetry

upin humans1

1 study
  1. Retinal nerve fiber layer asymmetry raises the risk of atrial fibrillation in humans (HR ~1.07 per SD increase).

    Humansn = 46,836

    Intereye retinal asymmetry is linked to cardiovascular risk · Journal of the American Heart Association · 29 Sep 2026

Retinal nerve fiber layer asymmetry →

Forced vital capacity

downin humans1OR 0.351

1 study
  1. Forced vital capacity lowers the risk of atrial fibrillation in humans (OR 0.351, 95% CI 0.167-0.736).

    Humanscompared with normal FVCn = 2,408

    Supranormal lung function and incident atrial fibrillation · Pulmonology · 25 Sep 2026

Forced vital capacity →

Forced expiratory volume in 1 second

downin humans1OR 0.42

1 study
  1. Forced expiratory volume in 1 second lowers the risk of atrial fibrillation in humans (OR 0.420, 95% CI 0.198-0.888).

    Humanscompared with normal FEV 1n = 2,408

    Supranormal lung function and incident atrial fibrillation · Pulmonology · 25 Sep 2026

Forced expiratory volume in 1 second →

Out-of-hospital cardiac arrest

upin humans1

1 study
  1. Atrial fibrillation raises the risk of out-of-hospital cardiac arrest in humans (0.61% [95% CI: 0.58-0.64%] vs 0.50% normal).

    Humans5 years

    Electrocardiogram Abnormalities and the Risk of Out-of-Hospital Cardiac Arrest: A Nationwide Cohort Study · Heart rhythm · 25 Sep 2026

Out-of-hospital cardiac arrest →

AI-ECG age gap

upin humans1HR 1.37

1 study
  1. AI-ECG age gap raises the risk of atrial fibrillation in humans (HR 1.37, 95% CI: 1.24-1.51).

    “AF-PRS (HR 1.61, 95% CI: 1.48-1.76) and the AI-ECG age gap (HR 1.37, 95% CI: 1.24-1.51) were independently associated with incident AF.”

    Humansincident AFn = 39,478

    Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence-Based Electrocardiogram Data · Journal of arrhythmia · 24 Sep 2026

AI-ECG age gap →

All 17

AF-PRS

upin humans1HR 1.61

1 study
  1. AF-PRS raises the risk of atrial fibrillation in humans (HR 1.61, 95% CI: 1.48-1.76).

    “AF-PRS (HR 1.61, 95% CI: 1.48-1.76) and the AI-ECG age gap (HR 1.37, 95% CI: 1.24-1.51) were independently associated with incident AF.”

    Humansincident AFn = 39,478

    Prediction of Atrial Fibrillation Risk Through the Integration of Genetic Information and Artificial Intelligence-Based Electrocardiogram Data · Journal of arrhythmia · 24 Sep 2026

AF-PRS →

Photoplethysmography

upin humans1

1 study
  1. Photoplethysmography predicts atrial fibrillation in humans.

    “AI-based PPG may support blood pressure estimation, atrial fibrillation detection, sleep and respiratory monitoring, vascular aging assessment, pulmonary hypertension screening, preeclampsia assessment, volume-status and compensatory-reserve assessment”

    Review

    Artificial Intelligence Enabled Diagnostics Using Photoplethysmography (PPG): Beyond SpO₂ and Heart Rate · Life (Basel, Switzerland) · 15 Sep 2026

Photoplethysmography →

Healthcare access

downin humans1

1 study
  1. healthcare access is associated with atrial fibrillation in humans.

    Humans11.5 yearsn = 3,240

    Socioeconomic status, healthcare access, and risk of atrial fibrillation: an investigation using the Jackson Heart Study Research Materials · medRxiv : the preprint server for health sciences · 10 Sep 2026 · Preprint

Income

downin humans1HR 0.61

1 study
  1. income lowers the risk of atrial fibrillation in humans (HR 0.61, 95% CI 0.47, 0.78).

    Humans11.5 yearsn = 3,240

    Socioeconomic status, healthcare access, and risk of atrial fibrillation: an investigation using the Jackson Heart Study Research Materials · medRxiv : the preprint server for health sciences · 10 Sep 2026 · Preprint

Left ventricular dysfunction

upin humans1

1 study
  1. Left ventricular dysfunction raises the risk of atrial fibrillation in humans (19.9% vs 4.1%).

    “One-year incidence rose from 4.1% (both negative) to 9.8% (LVSD-positive only), 20.1% (LVDD-positive only), and 19.9% (both positive).”

    Humanspatients in sinus rhythm

    Artificial Intelligence-Enabled Electrocardiography Model for Left Ventricular Systolic and Diastolic Dysfunction Predict Incident Atrial Fibrillation in Patients with Sinus Rhythm: A Time-Dependent Analysis · Diagnostics (Basel, Switzerland) · 8 Sep 2026

AI-ECG LVDD score

upin humans1

1 study
  1. AI-ECG LVDD score predicts atrial fibrillation in humans (AUROC 0.817).

    “more steeply for LVSD (AUROC 0.803 at 30 days to 0.713 at 365 days) than LVDD (0.817 to 0.764)”

    Humans30 days

    Artificial Intelligence-Enabled Electrocardiography Model for Left Ventricular Systolic and Diastolic Dysfunction Predict Incident Atrial Fibrillation in Patients with Sinus Rhythm: A Time-Dependent Analysis · Diagnostics (Basel, Switzerland) · 8 Sep 2026

AI-ECG LVDD score →

AI-ECG LVSD score

upin humans1

1 study
  1. AI-ECG LVSD score predicts atrial fibrillation in humans (AUROC 0.803).

    “more steeply for LVSD (AUROC 0.803 at 30 days to 0.713 at 365 days) than LVDD (0.817 to 0.764)”

    Humans30 days

    Artificial Intelligence-Enabled Electrocardiography Model for Left Ventricular Systolic and Diastolic Dysfunction Predict Incident Atrial Fibrillation in Patients with Sinus Rhythm: A Time-Dependent Analysis · Diagnostics (Basel, Switzerland) · 8 Sep 2026

AI-ECG LVSD score →

Latest

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NeurologyHumans

Early ablation lowers cardiac risks in stroke patients with AF

At 36 months, early ablation yielded a 1.54-month gain in event-free survival and an 11.17% absolute risk reduction in major adverse cardiovascular…At 36 months, early ablation yielded a 1.54-month gain in event-free survival and an 11.17% absolute risk reduction in major adverse cardiovascular events versus medical therapy.

Progress in Cardiovascular DiseasesHumans

Biomarker score with ketone bodies predicts atrial fibrillation

A high biomarker score carried nearly threefold greater atrial fibrillation risk than a very low score (HR 2.72; 95% CI, 2.11-3.49).A high biomarker score carried nearly threefold greater atrial fibrillation risk than a very low score (HR 2.72; 95% CI, 2.11-3.49).