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Reversal of hypertensive heart disease: a multiple linear regression model

Background: The development of left ventricular hypertrophy in primary hypertension increases cardiovascular mortality and morbidity. Reversal of left ventricular hypertrophy through therapeutic control of blood pressure reduces the risk of adverse cardiovascular incidents.   Objective:  In our stud...

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Autores principales: Ahmed, Shah Newaz, Jhaj, Ratinder, Sadasivam, Balakrishnan, Joshi, Rajnish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Applied Systems srl 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898147/
https://www.ncbi.nlm.nih.gov/pubmed/35261921
http://dx.doi.org/10.15190/d.2021.17
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author Ahmed, Shah Newaz
Jhaj, Ratinder
Sadasivam, Balakrishnan
Joshi, Rajnish
author_facet Ahmed, Shah Newaz
Jhaj, Ratinder
Sadasivam, Balakrishnan
Joshi, Rajnish
author_sort Ahmed, Shah Newaz
collection PubMed
description Background: The development of left ventricular hypertrophy in primary hypertension increases cardiovascular mortality and morbidity. Reversal of left ventricular hypertrophy through therapeutic control of blood pressure reduces the risk of adverse cardiovascular incidents.   Objective:  In our study, we explored for the determinants of left ventricular hypertrophy regression.  Methods: A cohort (n=217) of patients with hypertensive left ventricular hypertrophy was identified by screening consecutive patients in medical outpatient unit. The primary inclusion criteria were (i) Blood pressure more than140/90 mm of Hg (ii) Left Ventricular Mass Index more than 115 and 95 gm/m2 for males and females respectively. Left Ventricular Mass Index was determined by echocardiography at the time of recruitment and after 24 weeks of standard pharmacotherapy. The change in Left Ventricular Mass Index was modelled using multiple linear regression with both categorical and continuous explanatory variables. The effect of drug therapy on change in Left Ventricular Mass Index was tested in the model with dummy coded variables for the treatment categories.  Results: In simple linear regression, the variables significantly correlating with change in Left Ventricular Mass Index were baseline Left Ventricular Mass Index (r=0.62, p<0.001), change in systolic blood pressure (r=0.22, p=0.001), change in mean blood pressure (r=0.16, p=0.02), baseline systolic blood pressure (r=0.15, p=0.02), age (r=0.12, p=0.09) and diabetes (r=0.12, p=0.09). The best fit model (r2=0.408) retained baseline Left Ventricular Mass Index (β=0.59, p<0.001), change in systolic blood pressure (β=0.14, p=0.01) and diabetes (β=-0.104, p=0.05) as the significant predictors. Introduction of treatment effect into the model non-significantly increased the fit of the model (r2=0.414, p=0.27-0.98).   Conclusions: Pre-treatment Left Ventricular Mass Index and reduction in systolic blood pressure were the major determinants of left ventricular hypertrophy regression. We also observed that there is lesser left ventricular hypertrophy regression in diabetic patients, warranting future research to explore glycaemic control as a modifiable factor in left ventricular hypertrophy reversal.
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spelling pubmed-88981472022-03-07 Reversal of hypertensive heart disease: a multiple linear regression model Ahmed, Shah Newaz Jhaj, Ratinder Sadasivam, Balakrishnan Joshi, Rajnish Discoveries (Craiova) Original Article Background: The development of left ventricular hypertrophy in primary hypertension increases cardiovascular mortality and morbidity. Reversal of left ventricular hypertrophy through therapeutic control of blood pressure reduces the risk of adverse cardiovascular incidents.   Objective:  In our study, we explored for the determinants of left ventricular hypertrophy regression.  Methods: A cohort (n=217) of patients with hypertensive left ventricular hypertrophy was identified by screening consecutive patients in medical outpatient unit. The primary inclusion criteria were (i) Blood pressure more than140/90 mm of Hg (ii) Left Ventricular Mass Index more than 115 and 95 gm/m2 for males and females respectively. Left Ventricular Mass Index was determined by echocardiography at the time of recruitment and after 24 weeks of standard pharmacotherapy. The change in Left Ventricular Mass Index was modelled using multiple linear regression with both categorical and continuous explanatory variables. The effect of drug therapy on change in Left Ventricular Mass Index was tested in the model with dummy coded variables for the treatment categories.  Results: In simple linear regression, the variables significantly correlating with change in Left Ventricular Mass Index were baseline Left Ventricular Mass Index (r=0.62, p<0.001), change in systolic blood pressure (r=0.22, p=0.001), change in mean blood pressure (r=0.16, p=0.02), baseline systolic blood pressure (r=0.15, p=0.02), age (r=0.12, p=0.09) and diabetes (r=0.12, p=0.09). The best fit model (r2=0.408) retained baseline Left Ventricular Mass Index (β=0.59, p<0.001), change in systolic blood pressure (β=0.14, p=0.01) and diabetes (β=-0.104, p=0.05) as the significant predictors. Introduction of treatment effect into the model non-significantly increased the fit of the model (r2=0.414, p=0.27-0.98).   Conclusions: Pre-treatment Left Ventricular Mass Index and reduction in systolic blood pressure were the major determinants of left ventricular hypertrophy regression. We also observed that there is lesser left ventricular hypertrophy regression in diabetic patients, warranting future research to explore glycaemic control as a modifiable factor in left ventricular hypertrophy reversal. Applied Systems srl 2021-12-31 /pmc/articles/PMC8898147/ /pubmed/35261921 http://dx.doi.org/10.15190/d.2021.17 Text en Copyright © 2021, Ahmed SN et al., Applied Systems and Discoveries Journals. https://creativecommons.org/licenses/by/4.0/This article 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 work is properly cited and is not used for commercial purposes.
spellingShingle Original Article
Ahmed, Shah Newaz
Jhaj, Ratinder
Sadasivam, Balakrishnan
Joshi, Rajnish
Reversal of hypertensive heart disease: a multiple linear regression model
title Reversal of hypertensive heart disease: a multiple linear regression model
title_full Reversal of hypertensive heart disease: a multiple linear regression model
title_fullStr Reversal of hypertensive heart disease: a multiple linear regression model
title_full_unstemmed Reversal of hypertensive heart disease: a multiple linear regression model
title_short Reversal of hypertensive heart disease: a multiple linear regression model
title_sort reversal of hypertensive heart disease: a multiple linear regression model
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898147/
https://www.ncbi.nlm.nih.gov/pubmed/35261921
http://dx.doi.org/10.15190/d.2021.17
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