scholarly journals Hypertension and coronary heart disease. Is there a J-curve for diastolic blood pressure?

Cor et Vasa ◽  
2006 ◽  
Vol 48 (10) ◽  
pp. 345-350
Author(s):  
Jiří Widimský

Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
John W McEvoy ◽  
Faisal Rahman ◽  
Mahmoud Al Rifai ◽  
Michael Blaha ◽  
Khurram Nasir ◽  
...  

Diastolic blood pressure (BP) has a J-curve relationship with coronary heart disease and death. Because this association is thought to reflect reduced coronary perfusion at low diastolic BP, our objective was to test whether the J-curve is most pronounced among persons with coronary artery calcium. Among 6,811 participants from the Multi-Ethnic Study of Atherosclerosis, we used Cox models to examine if diastolic BP category is associated with coronary heart disease events, stroke, and mortality. Analyses were conducted in the sample overall and after stratification by coronary artery calcium score. In multivariable-adjusted analyses, compared with diastolic BP of 80 to 89 mmHg (reference), persons with diastolic BP <60 mmHg had increased risk of coronary heart disease events (HR 1.69 [95% confidence interval 1.02-2.79]) and all-cause mortality (HR 1.48 [95% confidence interval 1.10-2.00]), but not stroke. After stratification, associations of diastolic BP <60 mmHg with events were present only among participants with coronary artery calcium >0. Diastolic BP <60 mmHg was not associated with events when coronary artery calcium was zero. We also found no interaction in the association between low diastolic BP and events based on race. In conclusion, diastolic blood pressure <60 mmHg was associated with increased risk of coronary heart disease events and all-cause mortality in the sample overall, but this association appeared strongest among individuals with elevated CAC; suggesting that added caution may be needed when pursuing intensive BP treatment targets among persons with subclinical atherosclerosis.



1971 ◽  
Vol 27 (4) ◽  
pp. 335-346 ◽  
Author(s):  
William B. Kannel ◽  
Tavia Gordon ◽  
Melvin J. Schwartz






Author(s):  
Disha Bhatero ◽  
Punam Sawarkar ◽  
Vaishnavi Paraskar ◽  
Gaurav Sawarkar

Background: In 2000, 26.4% people of the society were suffering hypertension in the globe and around 29.2% are considered to have hypertension till 2025. Coronary Heart Disease, Stroke and other vascular disorders are the adverse effects of hypertension. Hypertension is taxonomically adjacent to UchchaRakta Tapa in Ayurveda. Prakrutiis the morphological, physiological, and psychological basic traits, manifested in the intrauterine life and is said to be unchangeable throughout life. Objectives: The present study aims to observe the Prevalence of Essential Hypertension in different types of Prakruti to differentiate Systolic blood pressure and Diastolic blood pressure according to various Prakruti in the population of Wardha city and contribute to knowledge in this population regarding Essential Hypertension and its relation with Prakruti. Materials and Methods: Wardha. Data collected in from the hypertensive patients in Wardha district by personal interviews based on the Prakruti Questionnaires. Results: The results will be concluded on the basis of observations drawn from the collected information.



2019 ◽  
Author(s):  
Apostolos Gkatzionis ◽  
Stephen Burgess ◽  
David V Conti ◽  
Paul J Newcombe

AbstractMendelian randomization is the use of genetic variants as instruments to assess the existence of a causal relationship between a risk factor and an outcome. A Mendelian randomization analysis requires a set of genetic variants that are strongly associated with the risk factor and only associated with the outcome through their effect on the risk factor. We describe a novel variable selection algorithm for Mendelian randomization that can identify sets of genetic variants which are suitable in both these respects. Our algorithm is applicable in the context of two-sample summary-data Mendelian randomization and employs a recently proposed theoretical extension of the traditional Bayesian statistics framework, including a loss function to penalize genetic variants that exhibit pleiotropic effects. The algorithm offers robust inference through the use of model averaging, as we illustrate by running it on a range of simulation scenarios and comparing it against established pleiotropy-robust Mendelian randomization methods. In a real data application, we study the effect of systolic and diastolic blood pressure on the risk of suffering from coronary heart disease. Based on a recent large-scale GWAS for blood pressure, we use 395 genetic variants for systolic and 391 variants for diastolic blood pressure. Both traits are shown to have significant risk-increasing effects on coronary heart disease risk.



Heart ◽  
2010 ◽  
Vol 96 (Suppl 3) ◽  
pp. A86-A86
Author(s):  
Z. Yun ◽  
L. Xiankai ◽  
Q. Liqiang ◽  
W. Lezhou ◽  
L. Jun ◽  
...  


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