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Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model

Background. In order to provide personalized medicine and improve cardiovascular outcomes, a method for predicting adverse left ventricular remodeling (ALVR) after ST-segment elevation myocardial infarction (STEMI) is needed. Methods. A total of 125 STEMI patients, mean age 51.2 (95% CI 49.6; 52.7)...

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Autores principales: Oleynikov, Valentin, Salyamova, Lyudmila, Kvasova, Olga, Burko, Nadezhda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947346/
https://www.ncbi.nlm.nih.gov/pubmed/35328323
http://dx.doi.org/10.3390/diagnostics12030770
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author Oleynikov, Valentin
Salyamova, Lyudmila
Kvasova, Olga
Burko, Nadezhda
author_facet Oleynikov, Valentin
Salyamova, Lyudmila
Kvasova, Olga
Burko, Nadezhda
author_sort Oleynikov, Valentin
collection PubMed
description Background. In order to provide personalized medicine and improve cardiovascular outcomes, a method for predicting adverse left ventricular remodeling (ALVR) after ST-segment elevation myocardial infarction (STEMI) is needed. Methods. A total of 125 STEMI patients, mean age 51.2 (95% CI 49.6; 52.7) years were prospectively enrolled. The clinical, laboratory, and instrumental examinations were performed between the 7th and 9th day, and after 24 and 48 weeks, including plasma analysis of brain natriuretic peptide (BNP), transthoracic echocardiography, analysis of left ventricular-arterial coupling, applanation tonometry, ultrasound examination of the common carotid arteries with RF signal amplification. Results. Patients were divided into 2 groups according to echocardiography: “ALVR” (n = 63)—end-diastolic volume index (EDVI) >20% and/or end-systolic volume index (ESVI) >15% after 24 weeks compared with initial values; “non-ALVR” (n = 62)—EDVI <20% and ESVI <15%. In the ALVR group, hard endpoints (recurrent myocardial infarction, unstable angina, hospitalization for decompensated heart failure, ventricular arrhythmias, cardiac surgery, cardiovascular death) were detected in 19 people (30%). In the non-ALVR group, hard endpoints were noted in 3 patients (5%). The odds ratio of developing an adverse outcome in ALVR vs. non-ALVR group was 8.5 (95% CI 2.4–30.5) (p = 0.0004). According to the multivariate analysis, the contribution of each of the indicators to the relative risk (RR) of adverse cardiac remodeling: waist circumference, RR = 1.02 (95% CI 1.001–1.05) (p = 0.042), plasma BNP—RR = 1.81 (95% CI 1.05–3.13) (p = 0.033), arterial elastance to left ventricular end-systolic elastance (Ea/Ees)—RR = 1.96 (95% CI 1.11–3.46) (p = 0.020). Conclusion. Determining ALVR status in early stages of the disease can accurately predict and stratify the risk of adverse outcomes in STEMI patients.
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spelling pubmed-89473462022-03-25 Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model Oleynikov, Valentin Salyamova, Lyudmila Kvasova, Olga Burko, Nadezhda Diagnostics (Basel) Article Background. In order to provide personalized medicine and improve cardiovascular outcomes, a method for predicting adverse left ventricular remodeling (ALVR) after ST-segment elevation myocardial infarction (STEMI) is needed. Methods. A total of 125 STEMI patients, mean age 51.2 (95% CI 49.6; 52.7) years were prospectively enrolled. The clinical, laboratory, and instrumental examinations were performed between the 7th and 9th day, and after 24 and 48 weeks, including plasma analysis of brain natriuretic peptide (BNP), transthoracic echocardiography, analysis of left ventricular-arterial coupling, applanation tonometry, ultrasound examination of the common carotid arteries with RF signal amplification. Results. Patients were divided into 2 groups according to echocardiography: “ALVR” (n = 63)—end-diastolic volume index (EDVI) >20% and/or end-systolic volume index (ESVI) >15% after 24 weeks compared with initial values; “non-ALVR” (n = 62)—EDVI <20% and ESVI <15%. In the ALVR group, hard endpoints (recurrent myocardial infarction, unstable angina, hospitalization for decompensated heart failure, ventricular arrhythmias, cardiac surgery, cardiovascular death) were detected in 19 people (30%). In the non-ALVR group, hard endpoints were noted in 3 patients (5%). The odds ratio of developing an adverse outcome in ALVR vs. non-ALVR group was 8.5 (95% CI 2.4–30.5) (p = 0.0004). According to the multivariate analysis, the contribution of each of the indicators to the relative risk (RR) of adverse cardiac remodeling: waist circumference, RR = 1.02 (95% CI 1.001–1.05) (p = 0.042), plasma BNP—RR = 1.81 (95% CI 1.05–3.13) (p = 0.033), arterial elastance to left ventricular end-systolic elastance (Ea/Ees)—RR = 1.96 (95% CI 1.11–3.46) (p = 0.020). Conclusion. Determining ALVR status in early stages of the disease can accurately predict and stratify the risk of adverse outcomes in STEMI patients. MDPI 2022-03-21 /pmc/articles/PMC8947346/ /pubmed/35328323 http://dx.doi.org/10.3390/diagnostics12030770 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Oleynikov, Valentin
Salyamova, Lyudmila
Kvasova, Olga
Burko, Nadezhda
Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title_full Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title_fullStr Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title_full_unstemmed Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title_short Prediction of Adverse Post-Infarction Left Ventricular Remodeling Using a Multivariate Regression Model
title_sort prediction of adverse post-infarction left ventricular remodeling using a multivariate regression model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947346/
https://www.ncbi.nlm.nih.gov/pubmed/35328323
http://dx.doi.org/10.3390/diagnostics12030770
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