Cargando…

Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome

Background: Internal cardioverter defibrillator (ICD) therapy reduced all-cause mortality. Conversely, few studies reported that ICDs' shocks may reduce survival. Recently authors suggested that, multiple inflammatory and molecular pathways were related to worse prognosis in metabolic syndrome...

Descripción completa

Detalles Bibliográficos
Autores principales: Sardu, Celestino, Marfella, Raffaele, Santamaria, Matteo, Papini, Stefano, Parisi, Quintino, Sacra, Cosimo, Colaprete, Daniele, Paolisso, Giuseppe, Rizzo, Maria R., Barbieri, Michelangela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028698/
https://www.ncbi.nlm.nih.gov/pubmed/29997521
http://dx.doi.org/10.3389/fphys.2018.00758
_version_ 1783336821473673216
author Sardu, Celestino
Marfella, Raffaele
Santamaria, Matteo
Papini, Stefano
Parisi, Quintino
Sacra, Cosimo
Colaprete, Daniele
Paolisso, Giuseppe
Rizzo, Maria R.
Barbieri, Michelangela
author_facet Sardu, Celestino
Marfella, Raffaele
Santamaria, Matteo
Papini, Stefano
Parisi, Quintino
Sacra, Cosimo
Colaprete, Daniele
Paolisso, Giuseppe
Rizzo, Maria R.
Barbieri, Michelangela
author_sort Sardu, Celestino
collection PubMed
description Background: Internal cardioverter defibrillator (ICD) therapy reduced all-cause mortality. Conversely, few studies reported that ICDs' shocks may reduce survival. Recently authors suggested that, multiple inflammatory and molecular pathways were related to worse prognosis in metabolic syndrome (MS) patients treated by ICDs. Therefore, it may be relevant to find new biomarkers to predict ICDs' shock and worse prognosis in treated patients. Methods: In 99 MS vs. 107 no MS patients treated by ICD for primary prevention, we evaluated all-cause mortality, cardiac deaths, hospitalization for heart failure, appropriate and inappropriate therapy, and survival after appropriate ICD therapy. Results: MS vs. no MS patients had higher levels of failing heart stress biomarkers. The highest values of ST2 were related to worse prognosis. Patients who had better survival after appropriate ICD therapy were those associated with lowest ST2 values. At multivariate Cox regression analysis, C reactive protein (CRP) (0.110 [0.027–0.446], p-value 0.002), troponine I (TnI) protein (0.010 [0.001–0.051], p-value 0.010), and B type natriuretic peptide (BNP) (1.151 [1.010–1.510], p-value 0.001), predicted all cause of deaths. BNP predicted cardiac deaths (1.010 [1.001–1.206], p-value 0.033). MS, and BNP predicted hospitalization for heart failure events (2.902 [1.345–4.795], p-value 0.001; 1.005 [1.000–1.016], p-value 0.007). ST2 predicted appropriate therapy (1.012 [1.007–1.260], p-value 0.001), as BNP (1.005 [1.001–1.160], p-value 0.028), LVEF (1.902 [1.857–1.950], p-value 0.001), and CRP (1.833 [1.878–1.993], p-value 0.028). ST2, and BNP predicted survival after ICD appropriate therapy (4.297 [1.985–9.302], p-value 0.001; 1.210 [1.072–1.685], p-value 0.024). Conclusions: ST2 values may differentiate MS patients with a higher risk of ICDs' therapy, and worse prognosis. Therefore, ST2 protein may be used as valid monitoring biomarker, and as a predictive biomarker in failing heart ICDs' patients affected by MS.
format Online
Article
Text
id pubmed-6028698
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-60286982018-07-11 Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome Sardu, Celestino Marfella, Raffaele Santamaria, Matteo Papini, Stefano Parisi, Quintino Sacra, Cosimo Colaprete, Daniele Paolisso, Giuseppe Rizzo, Maria R. Barbieri, Michelangela Front Physiol Physiology Background: Internal cardioverter defibrillator (ICD) therapy reduced all-cause mortality. Conversely, few studies reported that ICDs' shocks may reduce survival. Recently authors suggested that, multiple inflammatory and molecular pathways were related to worse prognosis in metabolic syndrome (MS) patients treated by ICDs. Therefore, it may be relevant to find new biomarkers to predict ICDs' shock and worse prognosis in treated patients. Methods: In 99 MS vs. 107 no MS patients treated by ICD for primary prevention, we evaluated all-cause mortality, cardiac deaths, hospitalization for heart failure, appropriate and inappropriate therapy, and survival after appropriate ICD therapy. Results: MS vs. no MS patients had higher levels of failing heart stress biomarkers. The highest values of ST2 were related to worse prognosis. Patients who had better survival after appropriate ICD therapy were those associated with lowest ST2 values. At multivariate Cox regression analysis, C reactive protein (CRP) (0.110 [0.027–0.446], p-value 0.002), troponine I (TnI) protein (0.010 [0.001–0.051], p-value 0.010), and B type natriuretic peptide (BNP) (1.151 [1.010–1.510], p-value 0.001), predicted all cause of deaths. BNP predicted cardiac deaths (1.010 [1.001–1.206], p-value 0.033). MS, and BNP predicted hospitalization for heart failure events (2.902 [1.345–4.795], p-value 0.001; 1.005 [1.000–1.016], p-value 0.007). ST2 predicted appropriate therapy (1.012 [1.007–1.260], p-value 0.001), as BNP (1.005 [1.001–1.160], p-value 0.028), LVEF (1.902 [1.857–1.950], p-value 0.001), and CRP (1.833 [1.878–1.993], p-value 0.028). ST2, and BNP predicted survival after ICD appropriate therapy (4.297 [1.985–9.302], p-value 0.001; 1.210 [1.072–1.685], p-value 0.024). Conclusions: ST2 values may differentiate MS patients with a higher risk of ICDs' therapy, and worse prognosis. Therefore, ST2 protein may be used as valid monitoring biomarker, and as a predictive biomarker in failing heart ICDs' patients affected by MS. Frontiers Media S.A. 2018-06-26 /pmc/articles/PMC6028698/ /pubmed/29997521 http://dx.doi.org/10.3389/fphys.2018.00758 Text en Copyright © 2018 Sardu, Marfella, Santamaria, Papini, Parisi, Sacra, Colaprete, Paolisso, Rizzo and Barbieri. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Sardu, Celestino
Marfella, Raffaele
Santamaria, Matteo
Papini, Stefano
Parisi, Quintino
Sacra, Cosimo
Colaprete, Daniele
Paolisso, Giuseppe
Rizzo, Maria R.
Barbieri, Michelangela
Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title_full Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title_fullStr Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title_full_unstemmed Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title_short Stretch, Injury and Inflammation Markers Evaluation to Predict Clinical Outcomes After Implantable Cardioverter Defibrillator Therapy in Heart Failure Patients With Metabolic Syndrome
title_sort stretch, injury and inflammation markers evaluation to predict clinical outcomes after implantable cardioverter defibrillator therapy in heart failure patients with metabolic syndrome
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028698/
https://www.ncbi.nlm.nih.gov/pubmed/29997521
http://dx.doi.org/10.3389/fphys.2018.00758
work_keys_str_mv AT sarducelestino stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT marfellaraffaele stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT santamariamatteo stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT papinistefano stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT parisiquintino stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT sacracosimo stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT colapretedaniele stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT paolissogiuseppe stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT rizzomariar stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome
AT barbierimichelangela stretchinjuryandinflammationmarkersevaluationtopredictclinicaloutcomesafterimplantablecardioverterdefibrillatortherapyinheartfailurepatientswithmetabolicsyndrome