Reversal of hypertensive heart disease: a multiple linear regression model

S. Ahmed, R. Jhaj, Balakrishnan Sadasivam, R. Joshi
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引用次数: 6

Abstract

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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高血压心脏病逆转:一个多元线性回归模型
背景:原发性高血压左心室肥厚的发展增加了心血管疾病的死亡率和发病率。通过治疗性控制血压逆转左心室肥厚可降低不良心血管事件的风险。目的:探讨左心室肥厚消退的决定因素。方法:通过门诊连续筛查高血压左室肥厚患者,确定一组217例高血压左室肥厚患者。主要纳入标准是(i)血压大于140/90 mm Hg (ii)左心室质量指数分别大于115和95 gm/m2(男性和女性)。左心室质量指数在招募时和标准药物治疗24周后通过超声心动图测定。左心室质量指数的变化采用多元线性回归模型,包括分类和连续解释变量。药物治疗对左室质量指数变化的影响在治疗类别的虚拟编码变量模型中进行检验。结果:在简单线性回归中,与左室质量指数变化显著相关的变量为基线左室质量指数(r=0.62, p<0.001)、收缩压变化(r=0.22, p=0.001)、平均血压变化(r=0.16, p=0.02)、基线收缩压(r=0.15, p=0.02)、年龄(r=0.12, p=0.09)、糖尿病(r=0.12, p=0.09)。最佳拟合模型(r2=0.408)保留了基线左心室质量指数(β=0.59, p<0.001)、收缩压变化(β=0.14, p=0.01)和糖尿病(β=-0.104, p=0.05)作为显著预测因子。在模型中引入治疗效应后,模型的拟合度无显著提高(r2=0.414, p=0.27-0.98)。结论:治疗前左室质量指数和收缩压降低是左室肥厚消退的主要决定因素。我们还观察到糖尿病患者的左心室肥厚消退较少,这表明未来的研究需要探索血糖控制作为左心室肥厚逆转的可改变因素。
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