Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model
Shah Newaz Ahmed,1 Ratinder Jhaj,1 Balakrishnan Sadasivam,1 Rajnish Joshi2 1Department of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India; 2Department of General Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, IndiaCorresp...
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oai:doaj.org-article:822f5e25dd9140e28247d218212d83cb2021-12-02T09:33:43ZPrediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model1179-1470https://doaj.org/article/822f5e25dd9140e28247d218212d83cb2020-06-01T00:00:00Zhttps://www.dovepress.com/prediction-of-left-ventricular-mass-index-using-electrocardiography-in-peer-reviewed-article-MDERhttps://doaj.org/toc/1179-1470Shah Newaz Ahmed,1 Ratinder Jhaj,1 Balakrishnan Sadasivam,1 Rajnish Joshi2 1Department of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India; 2Department of General Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, IndiaCorrespondence: Shah Newaz AhmedDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India, Tel +9903857789Email shahnewazpharmacology@gmail.comBackground: Current electrocardiography (ECG) criteria indicate only the presence or absence of left ventricular hypertrophy (LVH). LVH is a continuum and a direct relationship exists between left ventricular mass (LVM) and cardiovascular event rate. We developed a mathematical model predictive of LVM index (LVMI) using ECG and non-ECG variables by correlating them with echocardiography determined LVMI.Patients and Methods: The model was developed in a cohort of patients on treatment for essential hypertension (BP> 140/90 mm of Hg) who underwent concurrent ECG and echocardiography. One hundred and forty-seven subjects were included in the study (56.38± 11.84 years, 66% males). LVMI was determined by echocardiography (113.76± 33.06 gm/m2). A set of ECG and non-ECG variables were correlated with LVMI for inclusion in the multiple linear regression model. The model was checked for multicollinearity, normality and homogeneity of variances.Results: The final regression equation formulated with the help of unstandardized coefficients and constant was LVMI=18.494+ 1.704 (aLL) + 0.969 (RaVL+SV3) + 0.295 (MBP) + 15.406 (IHD) (aLL – sum of deflections in augmented limb leads; RaVL+SV3 – sum of deflection of (R wave in aVL + S wave in V3); MBP – mean blood pressure; IHD=1 for the presence of the disease, IHD=0 for the absence of the disease).Conclusion: In the model, 50.4% of the variability in LV mass is explained by the variables used. The findings warrant further studies for the development of better and validated models that can be incorporated in microprocessor-based ECG devices. The determination of LVMI with ECG only will be a cost-effective and readily accessible tool in patient care.Keywords: left ventricular hypertrophy, electrocardiography, echocardiographyAhmed SNJhaj RSadasivam BJoshi RDove Medical Pressarticleleft ventricular hypertrophyelectrocardiographyechocardiographyMedical technologyR855-855.5ENMedical Devices: Evidence and Research, Vol Volume 13, Pp 163-172 (2020) |
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left ventricular hypertrophy electrocardiography echocardiography Medical technology R855-855.5 |
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left ventricular hypertrophy electrocardiography echocardiography Medical technology R855-855.5 Ahmed SN Jhaj R Sadasivam B Joshi R Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
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Shah Newaz Ahmed,1 Ratinder Jhaj,1 Balakrishnan Sadasivam,1 Rajnish Joshi2 1Department of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India; 2Department of General Medicine, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, IndiaCorrespondence: Shah Newaz AhmedDepartment of Pharmacology, All India Institute of Medical Sciences Bhopal, Bhopal, Madhya Pradesh, India, Tel +9903857789Email shahnewazpharmacology@gmail.comBackground: Current electrocardiography (ECG) criteria indicate only the presence or absence of left ventricular hypertrophy (LVH). LVH is a continuum and a direct relationship exists between left ventricular mass (LVM) and cardiovascular event rate. We developed a mathematical model predictive of LVM index (LVMI) using ECG and non-ECG variables by correlating them with echocardiography determined LVMI.Patients and Methods: The model was developed in a cohort of patients on treatment for essential hypertension (BP> 140/90 mm of Hg) who underwent concurrent ECG and echocardiography. One hundred and forty-seven subjects were included in the study (56.38± 11.84 years, 66% males). LVMI was determined by echocardiography (113.76± 33.06 gm/m2). A set of ECG and non-ECG variables were correlated with LVMI for inclusion in the multiple linear regression model. The model was checked for multicollinearity, normality and homogeneity of variances.Results: The final regression equation formulated with the help of unstandardized coefficients and constant was LVMI=18.494+ 1.704 (aLL) + 0.969 (RaVL+SV3) + 0.295 (MBP) + 15.406 (IHD) (aLL – sum of deflections in augmented limb leads; RaVL+SV3 – sum of deflection of (R wave in aVL + S wave in V3); MBP – mean blood pressure; IHD=1 for the presence of the disease, IHD=0 for the absence of the disease).Conclusion: In the model, 50.4% of the variability in LV mass is explained by the variables used. The findings warrant further studies for the development of better and validated models that can be incorporated in microprocessor-based ECG devices. The determination of LVMI with ECG only will be a cost-effective and readily accessible tool in patient care.Keywords: left ventricular hypertrophy, electrocardiography, echocardiography |
| format |
article |
| author |
Ahmed SN Jhaj R Sadasivam B Joshi R |
| author_facet |
Ahmed SN Jhaj R Sadasivam B Joshi R |
| author_sort |
Ahmed SN |
| title |
Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
| title_short |
Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
| title_full |
Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
| title_fullStr |
Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
| title_full_unstemmed |
Prediction of Left Ventricular Mass Index Using Electrocardiography in Essential Hypertension – A Multiple Linear Regression Model |
| title_sort |
prediction of left ventricular mass index using electrocardiography in essential hypertension – a multiple linear regression model |
| publisher |
Dove Medical Press |
| publishDate |
2020 |
| url |
https://doaj.org/article/822f5e25dd9140e28247d218212d83cb |
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