Literature DB >> 28137395

Cardiac Biomarkers of Low Cardiac Output Syndrome in the Postoperative Period After Congenital Heart Disease Surgery in Children.

Juan L Pérez-Navero1, María José de la Torre-Aguilar2, Ignacio Ibarra de la Rosa3, Mercedes Gil-Campos2, Elena Gómez-Guzmán4, Carlos Merino-Cejas5, María C Muñoz-Villanueva6, Francisco J Llorente-Cantarero2.   

Abstract

INTRODUCTION AND
OBJECTIVES: To assess the predictive value of atrial natriuretic peptide, β-type natriuretic peptide, copeptin, mid-regional pro-adrenomedullin (MR-proADM) and cardiac troponin I (cTn-I) as indicators of low cardiac output syndrome in children with congenital heart disease undergoing cardiopulmonary bypass (CPB).
METHODS: After corrective surgery for congenital heart disease under CPB, 117 children (aged 10 days to 180 months) were enrolled in a prospective observational pilot study during a 2-year period. The patients were classified according to whether they developed low cardiac output syndrome. Biomarker levels were measured at 2, 12, 24, and 48 hours post-CPB. The clinical data and outcome variables were analyzed by a multiple logistic regression model.
RESULTS: Thirty-three (29%) patients developed low cardiac output syndrome (group 1) and the remaining 84 (71%) patients were included in group 2. cTn-I levels >14 ng/mL at 2hours after CPB (OR, 4.05; 95%CI, 1.29-12.64; P=.016) and MR-proADM levels>1.5 nmol/L at 24hours following CPB (OR, 15.54; 95%CI, 4.41-54.71; P<.001) were independent predictors of low cardiac output syndrome.
CONCLUSIONS: Our results suggest that cTn-I at 2hours post-CPB is, by itself, an evident independent early predictor of low cardiac output syndrome. This predictive capacity is, moreover, reinforced when cTn-I is combined with MR-proADM levels at 24hours following CPB. These 2 cardiac biomarkers would aid in therapeutic decision-making in clinical practice and would also enable clinicians to modify the type of support to be used in the pediatric intensive care unit.
Copyright © 2016 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  Biomarcadores cardiacos; Cardiac biomarkers; Cardiopatía congénita; Children; Congenital heart disease; Niños

Mesh:

Substances:

Year:  2016        PMID: 28137395     DOI: 10.1016/j.rec.2016.09.011

Source DB:  PubMed          Journal:  Rev Esp Cardiol (Engl Ed)        ISSN: 1885-5857


  6 in total

1.  Prognostic value of biomarkers after cardiopulmonary bypass in pediatrics: The prospective PANCAP study.

Authors:  Sara Bobillo-Perez; Iolanda Jordan; Patricia Corniero; Monica Balaguer; Anna Sole-Ribalta; Maria Esther Esteban; Elisabeth Esteban; Francisco Jose Cambra
Journal:  PLoS One       Date:  2019-06-17       Impact factor: 3.240

2.  Derivation and Validation of a Nomogram to Predict In-Hospital Complications in Children with Tetralogy of Fallot Repaired at an Older Age.

Authors:  Hong Liu; Si-Qiang Zheng; Xin-Ya Li; Zhi-Hua Zeng; Ji-Sheng Zhong; Jun-Quan Chen; Tao Chen; Zhi-Gang Liu; Xiao-Cheng Liu; Yong-Feng Shao
Journal:  J Am Heart Assoc       Date:  2019-10-24       Impact factor: 5.501

3.  Predictors of Low Cardiac Output Syndrome in Infants After Open-Heart Surgery.

Authors:  Liang Zou; Di Yu; Ruonan Wang; Yueshuang Cun; Yaping Li; Qingfeng Wang; Yaqin Shu; Xuming Mo
Journal:  Front Pediatr       Date:  2022-03-10       Impact factor: 3.418

Review 4.  A Review of Adrenomedullin in Pediatric Patients: A Useful Biomarker.

Authors:  Anna Solé-Ribalta; Sara Bobillo-Pérez; Iolanda Jordan-García
Journal:  Children (Basel)       Date:  2022-08-06

5.  Definitions of low cardiac output syndrome after cardiac surgery and their effect on the incidence of intraoperative LCOS: A literature review and cohort study.

Authors:  Anna Schoonen; Wilton A van Klei; Leo van Wolfswinkel; Kim van Loon
Journal:  Front Cardiovasc Med       Date:  2022-09-29

6.  Identifying Patients with Atrioventricular Septal Defect in Down Syndrome Populations by Using Self-Normalizing Neural Networks and Feature Selection.

Authors:  Xiaoyong Pan; Xiaohua Hu; Yu Hang Zhang; Kaiyan Feng; Shao Peng Wang; Lei Chen; Tao Huang; Yu Dong Cai
Journal:  Genes (Basel)       Date:  2018-04-12       Impact factor: 4.096

  6 in total

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