scholarly journals Heart rate: an independent risk factor in cardiovascular disease

2007 ◽  
Vol 9 (suppl_F) ◽  
pp. F3-F7 ◽  
Author(s):  
Åke Hjalmarson

Drugs ◽  
2007 ◽  
Vol 67 (Supplement 2) ◽  
pp. 3-13 ◽  
Author(s):  
Paolo Palatini


2010 ◽  
Vol 159 (4) ◽  
pp. 612-619.e3 ◽  
Author(s):  
Marie Therese Cooney ◽  
Erkki Vartiainen ◽  
Tinna Laakitainen ◽  
Anne Juolevi ◽  
Alexandra Dudina ◽  
...  


2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P Sobieraj ◽  
J Lewandowski ◽  
M Sinski

Abstract Background Available evidence does not indicate whether resting heart rate (RHR) is an independent risk factor or just marker of elevated risk. None of the studies assessed impact of RHR on cardiovascular events, when RHR was measured using automated blood pressure measurements (AOBPM). Purpose To assess the relationship between RHR (measured using AOBPM) and cardiovascular events risk in subjects with hypertension. Methods The data of SPRINT trial obtained via NHLBI were used to perform the analysis. SPRINT trial assessed intensive lowering of systolic BP to a target <120 mm Hg in comparison to standard goal (<140 mm Hg). RHR was measured using AOBPM device and calculated as an average of 3 measurements during the baseline visit of the study. Clinical composite endpoint (CE) of the study was defined as: myocardial infarction, acute coronary syndrome, decompensation of heart failure, stroke or cardiovascular death. The relationship between RHR and CE was assessed according to presence of cardiovascular disease (CVD) in past medical history. The statistical methods included t-test and chi-square test, Cox proportional risk models. The Cox models were adjusted for adjusted for age, sex, current smoking status and mean SBP during the trial. Restricted cubic splines were used to describe the relationship between RHR and hazard ratio. Results Data of 1877 participants with CVD and 7484 participants without CVD were analyzed. Subjects with cardiovascular disease were older (69.7±9.5 vs 67.5 years ± 9.4, p<0.001), more often were men (72.8% vs 62.3%, p<0.001) and had prior chronic kidney disease (34.3% vs 26.8%, p<0.001) than subjects without CVD. CE was more than twice often when CVD was present (10.9% vs 4.8%, p<0.001). RHR was lower in subjects with CVD disease than in subjects without CVD (63.6±11 vs 66.9±11.6 bpm, p=0<00.1). Elevated RHR was associated with increased risk both in subjects with and without CVD (Figure 1). The multivariable Cox proportional hazard risk model revealed that RHR>80 bpm is an independent risk factor for CE in subjects without CVD (hazard ratio 1.37, 95% CI 1.01–1.85, p=0.043) while not in subjects with CVD (hazard ratio 0.99, 95% CI 0.57–1.71, p=0.98). Conclusion Elevated RHR (>80 bpm) measured using AOBPM is an independent risk factor for cardiovascular events in subjects with hypertension and without CVD. Figure 1. Heart ratio vs hazard ratio. Funding Acknowledgement Type of funding source: None





2012 ◽  
Vol 35 (11) ◽  
pp. 1087-1092 ◽  
Author(s):  
Tatsuo Kawai ◽  
Mitsuru Ohishi ◽  
Yasushi Takeya ◽  
Miyuki Onishi ◽  
Norihisa Ito ◽  
...  


ESC CardioMed ◽  
2018 ◽  
pp. 2670-2673
Author(s):  
Susanna Price

Chronic kidney disease is a global health burden, with an estimated prevalence of 11–13%, with the majority of patients diagnosed as stage 3, and is an independent risk factor for cardiovascular disease. The incidence of acute kidney injury is increasing, and estimated to be present in one in five acute hospital admissions, and there is a bidirectional relationship between acute and chronic kidney disease. The relevance to the patient with cardiovascular disease relates to increased perioperative risk, as reduced kidney function is an independent risk factor for adverse postoperative cardiovascular outcomes including myocardial infarction, stroke, and progression of heart failure. Furthermore, patients undergoing cardiovascular investigations are at risk of developing acute kidney injury, in particular where iodinated contrast is administered. This chapter reviews the classification of renal disease and its impact on cardiovascular disease, as well as potential methods for reducing the development of contrast-induced acute kidney injury.



2005 ◽  
Vol 51 (11) ◽  
pp. 2067-2073 ◽  
Author(s):  
Daniel T Holmes ◽  
Brian A Schick ◽  
Karin H Humphries ◽  
Jiri Frohlich

Abstract Background: The role of lipoprotein(a) [Lp(a)] as a predictor of cardiovascular disease (CVD) in patients with heterozygous familial hypercholesterolemia (HFH) is unclear. We sought to examine the utility of this lipoprotein as a predictor of CVD outcomes in the HFH population at our lipid clinic. Methods: This was a retrospective analysis of clinical and laboratory data from a large multiethnic cohort of HFH patients at a single, large lipid clinic in Vancouver, Canada. Three hundred and eighty-eight patients were diagnosed with possible, probable, or definite HFH by strict clinical diagnostic criteria. Multivariate Cox regression analysis was used to study the relationship between several established CVD risk factors, Lp(a), and the age of first hard CVD event. Results: An Lp(a) concentration of 800 units/L (560 mg/L) or higher was a significant independent risk factor for CVD outcomes [hazard ratio (HR) = 2.59; 95% confidence interval (CI), 1.53–4.39; P <0.001]. Other significant risk factors were male sex [HR = 3.19 (1.79–5.69); P <0.001] and ratio of total to HDL-cholesterol [1.18 (1.07–1.30); P = 0.001]. A previous history of smoking or hypertension each produced HRs consistent with increased CVD risk [HR = 1.55 (0.92–2.61) and 1.57 (0.90–2.74), respectively], but neither reached statistical significance (both P = 0.10). LDL-cholesterol was not an independent predictor of CVD risk [HR = 0.85 (0.0.71–1.01); P = 0.07], nor was survival affected by the subcategory of HFH diagnosis (i.e., possible vs probable vs definite HFH). Conclusion: Lp(a) is an independent predictor of CVD risk in a multiethnic HFH population.



2011 ◽  
Vol 39 (1) ◽  
pp. 187-196 ◽  
Author(s):  
A. Singanayagam ◽  
A. Singanayagam ◽  
D. H. J. Elder ◽  
J. D. Chalmers


2010 ◽  
Vol 56 (2) ◽  
pp. 197-203 ◽  
Author(s):  
Tsuyoshi Honda ◽  
Hisanori Kanazawa ◽  
Hidenobu Koga ◽  
Yuji Miyao ◽  
Kazuteru Fujimoto


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