| Literature DB >> 28751838 |
Nadia Aspromonte1, Michele Massimo Gulizia2, Aldo Clerico3, Giuseppe Di Tano4, Michele Emdin5, Mauro Feola6, Massimo Iacoviello7, Roberto Latini8, Andrea Mortara9, Roberto Valle10, Gianfranco Misuraca11, Claudio Passino5, Serge Masson8, Alberto Aimo5, Marcello Ciaccio12, Marco Migliardi13.
Abstract
Biomarkers have dramatically impacted the way heart failure (HF) patients are evaluated and managed. A biomarker is a characteristic that is objectively measured and evaluated as an indicator of normal biological or pathogenic processes, or pharmacological responses to a therapeutic intervention. Natriuretic peptides [B-type natriuretic peptide (BNP) and N-terminal proBNP] are the gold standard biomarkers in determining the diagnosis and prognosis of HF, and a natriuretic peptide-guided HF management looks promising. In the last few years, an array of additional biomarkers has emerged, each reflecting different pathophysiological processes in the development and progression of HF: myocardial insult, inflammation, fibrosis, and remodelling, but their role in the clinical care of the patient is still partially defined and more studies are needed before to be well validated. Moreover, several new biomarkers have the potential to identify patients with early renal dysfunction and appear to have promise to help the management cardio-renal syndrome. With different biomarkers reflecting HF presence, the various pathways involved in its progression, as well as identifying unique treatment options for HF management, a closer cardiologist-laboratory link, with a multi-biomarker approach to the HF patient, is not far ahead, allowing the unique opportunity for specifically tailoring care to the individual pathological phenotype.Entities:
Keywords: Biomarkers; Fibrosis; Galectin 3; Heart failure; Inflammation; Natriuretic peptides; Troponin
Year: 2017 PMID: 28751838 PMCID: PMC5520761 DOI: 10.1093/eurheartj/sux027
Source DB: PubMed Journal: Eur Heart J Suppl ISSN: 1520-765X Impact factor: 1.803
Number of patients to be enrolled in studies testing prognostic value of biomarkers. Different calculations are presented according to power (type II error) and impact on outcomes expressed as hazard ratio (HR) of above vs below the median level of the biomarker
| HR | Sample size | Power |
|---|---|---|
| 1.2 | 4240 | 80% |
| 1.4 | 1192 | 80% |
| 1.6 | 580 | 80% |
| 1.2 | 3334 | 70% |
| 1.4 | 937 | 70% |
| 1.6 | 457 | 70% |
HR, hazard ratio.
Accuracy of history and physical findings in diagnosing acute congestive heart failure (modified from references 13 and 14)
| Variable | Sensitivity | Specificity | Accuracy |
|---|---|---|---|
| History of HF | 62 | 94 | 80 |
| Dyspnea | 56 | 53 | 54 |
| Orthopnoea | 47 | 88 | 72 |
| Rales | 56 | 80 | 70 |
| Third heart sound | 20 | 90 | 66 |
| Jugular vein distension | 39 | 94 | 72 |
| Oedema | 67 | 68 | 68 |
HR, heart failure.