Heart failure & cardiomyopathies

Pro-Adrenomedullin as an Independent Predictive Biomarker for Heart Failure in Atrial Fibrillation and Flutter

ESC Heart FailPublished discovery and replication cohorts

Authors' conclusion

Pro-ADM is identified as an independent biomarker for predicting incident HF in AF and AFL patients. Its inclusion in risk prediction models enhances the ability to stratify HF risk beyond traditional biomarkers, demonstrating its potential utility in clinical practice.

Study context

Population
Patients with atrial fibrillation and flutter (AF and AFL)split into discovery and replication cohorts
Participants
1,050 vs 305
Comparison
Plasma biomarkers screened for association with incident heart failure (HF)
  • Discoveryn = 1,050
  • Replicationn = 305
Outcome
Incident HF
Follow-up
Over a 14.2 years (discovery); over 13.8 years (replication)
Methodological detailsproteomic data from the UK Biobank Pharma Proteomics Project (UKB-PPP), multivariable-adjusted Cox proportional hazards model
  • Proteomic data from the UK Biobank Pharma Proteomics Project (UKB-PPP)
  • Multivariable-adjusted Cox proportional hazards model

Main finding

As reported in the abstract

Further findings

OutcomeHR (95% CI)P value
Incident HF per unit increase in pro-ADMEach unit increase in pro-ADM · discovery cohort; FDR = 0.0262.78 (1.64–4.71)P < 0.001
Incident HF per unit increase in pro-ADMEach unit increase in pro-ADM · replication cohort; FDR = 0.0123.95 (1.97–7.94)P < 0.001
Incident HF per unit increase in pro-ADM, sensitivity and subgroup analysesEach unit increase in pro-ADM · after excluding participants with self-reported AF and AFL · sensitivity analyses1.77 (1.02–3.04)P = 0.041
Incident HF per unit increase in pro-ADM, sensitivity and subgroup analysesEach unit increase in pro-ADM · paroxysmal AF · sensitivity analyses2.80 (1.11–7.07)P = 0.029
Incident HF per unit increase in pro-ADM, sensitivity and subgroup analysesEach unit increase in pro-ADM · persistent AF · sensitivity analyses4.36 (1.41–13.43)P = 0.010

Proteins associated with incident HF

Out of 2923 proteins measured, only pro-adrenomedullin (pro-ADM) consistently showed a significant association with incident HF in both cohorts

Time to HF onset across pro-ADM quartiles

Median times ranging from 2306 to 3183 days across quartiles
P < 0.001
  • Higher pro-ADM levels had significantly shorter time to HF onset

Cumulative incidence of HF across pro-ADM quartiles

Ranged from 15.3% to 42.7% across quartiles of pro-ADM
log-rank P < 0.001

Adding pro-ADM to a model with traditional risk factors, including NT-proBNP · 3-year

AUC
0.783
IDI
0.010
NRI
0.206
  • Both P = 0.002

Adding pro-ADM to a model with traditional risk factors, including NT-proBNP · 5-year

AUC
0.749
IDI
0.013
NRI
0.179
  • P = 0.001

Original publication

Pro-Adrenomedullin as an Independent Predictive Biomarker for Heart Failure in Atrial Fibrillation and Flutter. ESC Heart Fail. Published 13 January 2025. doi:10.1002/ehf2.15196

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