Study of Left Ventricular Mass and Its Determinants on Echocardiography
Published: September 1, 2017 | DOI: https://doi.org/10.7860/JCDR/2017/28048.10576
Namrata Guleri, Susheela Rana, Randhir S Chauhan, Prakash Chand Negi, Yogesh Diwan, Deepa Diwan
1. Senior Resident, Department of Anatomy, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
2. Associate Professor, Department of Anatomy, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
3. Professor and Head, Department of Anatomy, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
4. Professor and Head, Department of Cardiology, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
5. Assistant Professor, Department of Anatomy, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
6. Senior Resident, Department of Anatomy, Indira Gandhi Medical College, Shimla, Himachal Pradesh, India.
Correspondence
Dr. Yogesh Diwan,
Assistant Professor, Department of Anatomy, Indira Gandhi Medical College, Shimla-171001, Himachal Pradesh, India.
E-mail: drydiwan@gmail.com
Introduction: Increased Left Ventricular Mass (LVM) is an independent risk factor for cardiovascular morbidity and mortality.
Aim: This study was done to find the prevalence and determinants of LVM in the Northern Indian population.
Materials and Methods: A prospective cross-sectional observational study was carried out in a tertiary care centre in Himachal Pradesh, India and the study population included all consecutive patients fulfilling the inclusion criteria attending cardiology OPD on seeking medical attention with various symptoms for dyslipidaemia, hypertension but not on medication over a period of one year. Focused history was taken; physical examination and investigations were done. Data collected was analysed using Epi-info software version 3.5.1. We calculated means of LVM index for categorical variables i.e., sex, tobacco consumption, alcohol consumption and sedentary lifestyle etc., and also calculated p-values as test of significance for mean difference across the exposure variable groups. The Pearson correlation coefficient was calculated and 2 tailed significance at p< 0.05 was taken as statistically significant.
Results: Mean age of study population was 42.30±9.8 years and 62.9% were males. The mean LVM index was significantly higher in men than in women 77.7 ± 11.4 vs.71.3 ± 15.7 (p-value <0.01). Strong positive correlation was observed between increased waist hip ratio and increased Left Ventricular Mass Index (LVMI). The Pearson correlation coefficient was 36.77 and it was statistically significant with p-value 0.04.
Conclusion: We found positive and independent correlation of increased LVMI with increased Waist Hip Ratio (WHR). A positive independent correlation was also observed with higher fasting blood sugar levels.
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