Novel Biomarkers in Cardiac Resynchronization Therapy: Hepatocyte Growth Factor Is an Independent Predictor of Clinical Outcome.

Biomarcadores Biomarkers Cardiac resynchronization therapy Clinical response Factor de crecimiento hepatocitario Hepatocyte growth factor Mortalidad Mortality Respuesta clínica Terapia de resincronización cardiaca

Journal

Revista espanola de cardiologia (English ed.)
ISSN: 1885-5857
Titre abrégé: Rev Esp Cardiol (Engl Ed)
Pays: Spain
ID NLM: 101587954

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 28 07 2017
accepted: 21 12 2017
pubmed: 28 3 2018
medline: 15 2 2019
entrez: 28 3 2018
Statut: ppublish

Résumé

Cardiac resynchronization therapy (CRT) is beneficial for selected heart failure (HF) patients, although nonresponse to therapy is still prevalent. We investigated a set of novel biomarkers associated with various pathophysiological pathways of HF. Our purpose was to assess their ability to predict clinical outcomes after CRT. We studied 136 chronic HF patients undergoing CRT. We measured the plasma levels of fractalkine, pentraxin-3, hepatocyte growth factor (HGF), carbohydrate antigen-125, and matrix metalloproteinase-9 before and 6 months after CRT. The primary endpoint of the study was 5-year all-cause mortality, and we considered the absence of 6-month reverse remodelling (defined as at least a 15% decrease in end-systolic volume) as a secondary endpoint. Fifty-eight patients died during the 5-year follow-up period and 66 patients were categorized as nonresponders. In multivariable models, only an increased HGF was an independent predictor of both mortality (HR, 1.35; 95%CI, 1.11-1.64; P=.003; per 1 standard deviation increase) and the absence of reverse remodelling (OR, 1.83; 95%CI, 1.10-3.04; P=.01; per 1 standard deviation increase). Applying HGF to the basic multivariable model of both mortality (net reclassification improvement=0.69; 95%CI, 0.39-0.99; P<.0001; integrated discrimination improvement=0.06; 95%CI, 0.02-0.11) and reverse remodelling (net reclassification improvement=0.39; 95%CI, 0.07-0.71; P=.01; integrated discrimination improvement=0.03; 95%CI, 0.00-0.06) resulted in a statistically significant reclassification and discrimination improvement. Of the investigated biomarkers, only HGF predicted clinical outcomes following CRT independently of other parameters. Reclassification analyses showed that HGF measurements could be useful in refining patient selection.

Identifiants

pubmed: 29580749
pii: S1885-5857(18)30027-6
doi: 10.1016/j.rec.2017.12.015
pii:
doi:

Substances chimiques

Biomarkers 0
Hepatocyte Growth Factor 67256-21-7

Types de publication

Journal Article Observational Study

Langues

eng spa

Sous-ensembles de citation

IM

Pagination

48-55

Informations de copyright

Copyright © 2018 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

Auteurs

Péter Perge (P)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

András Mihály Boros (AM)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Szabolcs Szilágyi (S)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Endre Zima (E)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Levente Molnár (L)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

László Gellér (L)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

Zoltán Prohászka (Z)

Third Department of Internal Medicine, Semmelweis University, Budapest, Hungary.

Béla Merkely (B)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary. Electronic address: merkely.bela@kardio.sote.hu.

Gábor Széplaki (G)

Heart and Vascular Center, Semmelweis University, Budapest, Hungary.

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Classifications MeSH