ArticleClinical research in cardiology : official journal of the German Cardiac Society2022
Activity of the adrenomedullin system to personalise post-discharge diuretic treatment in acute heart failure.
Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Role of Adrenomedullin as a Prognostic Biomarker in Acute Heart Failure Patients: A Systematic Review and Meta-Analysis.Cardiology · 2026Pooled it
- Diagnostic and prognostic utility of bone morphogenetic protein 10 in acute dyspnea: a cohort study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026Article
- Toward Personalized Heart Failure Management: Integrating Biomarkers and Multimodal Monitoring Strategies.Current heart failure reports · 2026Review
- Pro-adrenomedullin associates with congestion in acute heart failure patients.ESC heart failure · 2024Article
- Plasma bioactive adrenomedullin predicts mortality and need for dialysis in critical COVID-19.Scientific reports · 2024Article
- Prediction of cardiac worsening through to cardiogenic shock in patients with acute heart failure.ESC heart failure · 2024Article
- Hypertensive Heart Disease: A Narrative Review Series-Part 3: Vasculature, Biomarkers and the Matrix of Hypertensive Heart Disease.Journal of clinical medicine · 2024Review
- Prognostic Value of Self-Reported Subjective Exercise Capacity in Patients With Acute Dyspnea.JACC. Advances · 2023Article
- Laboratory and Metabolomic Fingerprint in Heart Failure with Preserved Ejection Fraction: From Clinical Classification to Biomarker Signature.Biomolecules · 2023Review
- Pro-adrenomedullin as a prognostic biomarker in patients with heart failure: A systematic review and meta-analysis.JRSM cardiovascular diseaseReview
Corrections and comments
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Authors and funding
25 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQuantifying the activity of the adrenomedullin system might help to monitor and guide treatment in acute heart failure (AHF) patients. The aims were to (1) identify AHF patients with marked benefit or harm from specific treatments at hospital discharge and (2) predict mortality by quantifying the adrenomedullin system activity.
methodsThis was a prospective multicentre study. AHF diagnosis and phenotype were centrally adjudicated by two independent cardiologists among patients presenting to the emergency department with acute dyspnoea. Adrenomedullin system activity was quantified using the biologically active component, bioactive adrenomedullin (bio-ADM), and a prohormone fragment, midregional proadrenomedullin (MR-proADM). Bio-ADM and MR-proADM concentrations were measured in a blinded fashion at presentation and at discharge. Interaction with specific treatments at discharge and the utility of these biomarkers on predicting outcomes during 365-day follow-up were assessed.
resultsAmong 1886 patients with adjudicated AHF, 514 patients (27.3%) died during 365-day follow-up. After adjusting for age, creatinine, and treatment at discharge, patients with bio-ADM plasma concentrations above the median (> 44.6 pg/mL) derived disproportional benefit if treated with diuretics (interaction p values < 0.001). These findings were confirmed when quantifying adrenomedullin system activity using MR-proADM (n = 764) (interaction p values < 0.001). Patients with bio-ADM plasma concentrations above the median were at increased risk of death (hazard ratio 1.87, 95% CI 1.57-2.24; p < 0.001). For predicting 365-day all-cause mortality, both biomarkers performed well, with MR-proADM presenting an even higher predictive accuracy compared to bio-ADM (p < 0.001).
conclusionsQuantifying the adrenomedullin's system activity may help to personalise post-discharge diuretic treatment and enable accurate risk-prediction in AHF.
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