sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction

Heart failure is the most frequent cardiac complication of chronic kidney disease (CKD). Biomarkers help identify high-risk patients. Natriuretic peptides (BNP and NT-proBNP) are largely used for monitoring patients with cardiac failure but are highly dependent on glomerular filtration rate (GFR). S...

Full description

Saved in:
Bibliographic Details
Main Authors: Maëlle Plawecki, Marion Morena, Nils Kuster, Leila Chenine, Hélène Leray-Moragues, Bernard Jover, Pierre Fesler, Manuela Lotierzo, Anne-Marie Dupuy, Kada Klouche, Jean-Paul Cristol
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Mediators of Inflammation
Online Access:http://dx.doi.org/10.1155/2018/3952526
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832562075700822016
author Maëlle Plawecki
Marion Morena
Nils Kuster
Leila Chenine
Hélène Leray-Moragues
Bernard Jover
Pierre Fesler
Manuela Lotierzo
Anne-Marie Dupuy
Kada Klouche
Jean-Paul Cristol
author_facet Maëlle Plawecki
Marion Morena
Nils Kuster
Leila Chenine
Hélène Leray-Moragues
Bernard Jover
Pierre Fesler
Manuela Lotierzo
Anne-Marie Dupuy
Kada Klouche
Jean-Paul Cristol
author_sort Maëlle Plawecki
collection DOAJ
description Heart failure is the most frequent cardiac complication of chronic kidney disease (CKD). Biomarkers help identify high-risk patients. Natriuretic peptides (BNP and NT-proBNP) are largely used for monitoring patients with cardiac failure but are highly dependent on glomerular filtration rate (GFR). Soluble suppression of tumorigenicity 2 (sST2) biomarker is well identified in risk stratification of cardiovascular (CV) events in heart failure. Furthermore, sST2 is included in a bioclinical score to stratify mortality risk. The aims of this study were to evaluate (i) the interest of circulating sST2 level in heart dysfunction and (ii) the bioclinical score (Barcelona Bio-Heart Failure risk calculator) to predict the risk of composite outcome (major adverse coronary events) and mortality in the CKD population. A retrospective study was carried out on 218 CKD patients enrolled from 2004 to 2015 at Montpellier University Hospital. sST2 was measured by ELISA (Presage ST2® kit). GFR was estimated by the CKD-EPI equation (eGFR). Indices of cardiac parameters were performed by cardiac echography. No patient had reduced ejection fraction. 112 patients had left ventricular hypertrophy, and 184 presented cardiac dysfunction, with structural, functional abnormalities or both. sST2 was independent of age and eGFR (ρ=0.05, p=0.44, and ρ=−0.07, p=0.3, respectively). Regarding echocardiogram data, sST2 was correlated with left ventricular mass index (ρ=0.16, p=0.02), left atrial diameter (ρ=0.14, p=0.04), and volume index (ρ=0.13, p=0.05). sST2 alone did not change risk prediction of death and/or CV events compared to natriuretic peptides. Included in the Barcelona Bio-Heart Failure (BCN Bio-HF) score, sST2 added value and better stratified the risk of CV events and/or death in CKD patients (p<0.0001). To conclude, sST2 was associated with cardiac remodeling independently of eGFR, unlike other cardiac biomarkers. Added to the BCN Bio-HF score, the risk stratification of death and/or CV events in nondialyzed CKD patients was highly improved.
format Article
id doaj-art-c074d6e1d66d4eb18c34f5be362d0ba3
institution Kabale University
issn 0962-9351
1466-1861
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Mediators of Inflammation
spelling doaj-art-c074d6e1d66d4eb18c34f5be362d0ba32025-02-03T01:23:31ZengWileyMediators of Inflammation0962-93511466-18612018-01-01201810.1155/2018/39525263952526sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk PredictionMaëlle Plawecki0Marion Morena1Nils Kuster2Leila Chenine3Hélène Leray-Moragues4Bernard Jover5Pierre Fesler6Manuela Lotierzo7Anne-Marie Dupuy8Kada Klouche9Jean-Paul Cristol10Département de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceDépartement de Néphrologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceDépartement de Néphrologie, CHU Montpellier, Université de Montpellier, Montpellier, FrancePhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, FrancePhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, FranceDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FrancePhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, FranceDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, FranceHeart failure is the most frequent cardiac complication of chronic kidney disease (CKD). Biomarkers help identify high-risk patients. Natriuretic peptides (BNP and NT-proBNP) are largely used for monitoring patients with cardiac failure but are highly dependent on glomerular filtration rate (GFR). Soluble suppression of tumorigenicity 2 (sST2) biomarker is well identified in risk stratification of cardiovascular (CV) events in heart failure. Furthermore, sST2 is included in a bioclinical score to stratify mortality risk. The aims of this study were to evaluate (i) the interest of circulating sST2 level in heart dysfunction and (ii) the bioclinical score (Barcelona Bio-Heart Failure risk calculator) to predict the risk of composite outcome (major adverse coronary events) and mortality in the CKD population. A retrospective study was carried out on 218 CKD patients enrolled from 2004 to 2015 at Montpellier University Hospital. sST2 was measured by ELISA (Presage ST2® kit). GFR was estimated by the CKD-EPI equation (eGFR). Indices of cardiac parameters were performed by cardiac echography. No patient had reduced ejection fraction. 112 patients had left ventricular hypertrophy, and 184 presented cardiac dysfunction, with structural, functional abnormalities or both. sST2 was independent of age and eGFR (ρ=0.05, p=0.44, and ρ=−0.07, p=0.3, respectively). Regarding echocardiogram data, sST2 was correlated with left ventricular mass index (ρ=0.16, p=0.02), left atrial diameter (ρ=0.14, p=0.04), and volume index (ρ=0.13, p=0.05). sST2 alone did not change risk prediction of death and/or CV events compared to natriuretic peptides. Included in the Barcelona Bio-Heart Failure (BCN Bio-HF) score, sST2 added value and better stratified the risk of CV events and/or death in CKD patients (p<0.0001). To conclude, sST2 was associated with cardiac remodeling independently of eGFR, unlike other cardiac biomarkers. Added to the BCN Bio-HF score, the risk stratification of death and/or CV events in nondialyzed CKD patients was highly improved.http://dx.doi.org/10.1155/2018/3952526
spellingShingle Maëlle Plawecki
Marion Morena
Nils Kuster
Leila Chenine
Hélène Leray-Moragues
Bernard Jover
Pierre Fesler
Manuela Lotierzo
Anne-Marie Dupuy
Kada Klouche
Jean-Paul Cristol
sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
Mediators of Inflammation
title sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
title_full sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
title_fullStr sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
title_full_unstemmed sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
title_short sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction
title_sort sst2 as a new biomarker of chronic kidney disease induced cardiac remodeling impact on risk prediction
url http://dx.doi.org/10.1155/2018/3952526
work_keys_str_mv AT maelleplawecki sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT marionmorena sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT nilskuster sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT leilachenine sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT heleneleraymoragues sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT bernardjover sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT pierrefesler sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT manuelalotierzo sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT annemariedupuy sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT kadaklouche sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction
AT jeanpaulcristol sst2asanewbiomarkerofchronickidneydiseaseinducedcardiacremodelingimpactonriskprediction