Cargando…

A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology

OBJECTIVES: We proposed that the severity of ST-segment elevation myocardial infarction (STEMI) could be classified based on pathophysiological changes. METHODS: First-STEMI patients were classified within hospitalization. Grade 0: no detectable myocardial necrosis; Grade 1: myocardial necrosis with...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Ben, Ge, Heng, Yang, Fan, Sun, Yujun, Li, Zheng, Jiang, Meng, Fan, Yiting, Pu, Jun, Shen, Xuedong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474973/
https://www.ncbi.nlm.nih.gov/pubmed/26090807
http://dx.doi.org/10.1371/journal.pone.0130158
_version_ 1782377369786384384
author He, Ben
Ge, Heng
Yang, Fan
Sun, Yujun
Li, Zheng
Jiang, Meng
Fan, Yiting
Pu, Jun
Shen, Xuedong
author_facet He, Ben
Ge, Heng
Yang, Fan
Sun, Yujun
Li, Zheng
Jiang, Meng
Fan, Yiting
Pu, Jun
Shen, Xuedong
author_sort He, Ben
collection PubMed
description OBJECTIVES: We proposed that the severity of ST-segment elevation myocardial infarction (STEMI) could be classified based on pathophysiological changes. METHODS: First-STEMI patients were classified within hospitalization. Grade 0: no detectable myocardial necrosis; Grade 1: myocardial necrosis without functional and morphological abnormalities; Grade 2: myocardial necrosis with reduced LVEF; Grade 3: reduced LVEF on the basis of cardiac remodeling; Grade 4: mitral regurgitation additional to the Grade-3 criteria. RESULTS: Of 180 patients, 1.7, 43.9, 26.1, 23.9 and 4.4% patients were classified as Grade 0 to 4, respectively. The classification is an independent predicator of 90-day MACEs (any death, resuscitated cardiac arrest, acute heart failure and stroke): the rate was 0, 5.1, 8.5, 48.8 and 75% from Grade 0 to 4 (p<0.001), respectively. The Grade-2 patients were more likely to have recovered left ventricular ejection fraction than the Grade-3/4 patients did after 90 days (48.9% vs. 19.1%, p<0.001). Avoiding complicated quantification, the classification served as a good reflection of infarction size as measured by cardiac magnetic resonance imaging (0±0, 15.68±8.48, 23.68±9.32, 36.12±11.35 and 40.66±14.33% of the left ventricular mass by Grade 0 to 4, P<0.001), and with a comparable prognostic value (AUC 0.819 vs. 0.813 for infarction size, p = 0.876 by C-statistics) for MACEs. CONCLUSIONS: The new classification represents an easy and objective method to scale the cardiac detriments for STEMI patients.
format Online
Article
Text
id pubmed-4474973
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-44749732015-06-30 A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology He, Ben Ge, Heng Yang, Fan Sun, Yujun Li, Zheng Jiang, Meng Fan, Yiting Pu, Jun Shen, Xuedong PLoS One Research Article OBJECTIVES: We proposed that the severity of ST-segment elevation myocardial infarction (STEMI) could be classified based on pathophysiological changes. METHODS: First-STEMI patients were classified within hospitalization. Grade 0: no detectable myocardial necrosis; Grade 1: myocardial necrosis without functional and morphological abnormalities; Grade 2: myocardial necrosis with reduced LVEF; Grade 3: reduced LVEF on the basis of cardiac remodeling; Grade 4: mitral regurgitation additional to the Grade-3 criteria. RESULTS: Of 180 patients, 1.7, 43.9, 26.1, 23.9 and 4.4% patients were classified as Grade 0 to 4, respectively. The classification is an independent predicator of 90-day MACEs (any death, resuscitated cardiac arrest, acute heart failure and stroke): the rate was 0, 5.1, 8.5, 48.8 and 75% from Grade 0 to 4 (p<0.001), respectively. The Grade-2 patients were more likely to have recovered left ventricular ejection fraction than the Grade-3/4 patients did after 90 days (48.9% vs. 19.1%, p<0.001). Avoiding complicated quantification, the classification served as a good reflection of infarction size as measured by cardiac magnetic resonance imaging (0±0, 15.68±8.48, 23.68±9.32, 36.12±11.35 and 40.66±14.33% of the left ventricular mass by Grade 0 to 4, P<0.001), and with a comparable prognostic value (AUC 0.819 vs. 0.813 for infarction size, p = 0.876 by C-statistics) for MACEs. CONCLUSIONS: The new classification represents an easy and objective method to scale the cardiac detriments for STEMI patients. Public Library of Science 2015-06-19 /pmc/articles/PMC4474973/ /pubmed/26090807 http://dx.doi.org/10.1371/journal.pone.0130158 Text en © 2015 He et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
He, Ben
Ge, Heng
Yang, Fan
Sun, Yujun
Li, Zheng
Jiang, Meng
Fan, Yiting
Pu, Jun
Shen, Xuedong
A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title_full A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title_fullStr A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title_full_unstemmed A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title_short A Novel Method in the Stratification of Post-Myocardial-Infarction Patients Based on Pathophysiology
title_sort novel method in the stratification of post-myocardial-infarction patients based on pathophysiology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474973/
https://www.ncbi.nlm.nih.gov/pubmed/26090807
http://dx.doi.org/10.1371/journal.pone.0130158
work_keys_str_mv AT heben anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT geheng anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT yangfan anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT sunyujun anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT lizheng anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT jiangmeng anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT fanyiting anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT pujun anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT shenxuedong anovelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT heben novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT geheng novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT yangfan novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT sunyujun novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT lizheng novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT jiangmeng novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT fanyiting novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT pujun novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology
AT shenxuedong novelmethodinthestratificationofpostmyocardialinfarctionpatientsbasedonpathophysiology