Binhao Wang

Higher High-Sensitivity C Reactive Protein is Associated with Future Premature Ventricular Contraction: a Community Based Prospective Cohort Study

We aimed to determine whether hs-CRP is a predictor of future premature ventricular contraction (PVC) events in a community based population. A total of 101,510 participants were recruited at baseline (2006–2007). The follow-up visits were conducted every two years. Participants who were free from PVC at baseline and achieved the fourth visit, or diagnosed of PVC during the subsequent visits were included for analyses. Diagnosis of PVC was based on standard supine resting, 10-s 12-lead ECG. Cox regression was applied to evaluate the association between quartiles of hs-CRP and the incidence of PVCs. 60710 participants (male: 79.9%, mean age 49.4 years) were included for analyses. During a mean follow-up of 74.9 ± 7.4 months, 908 (1.5%) participants were diagnosed with PVC. Participants of the highest quartile of hs-CRP had significantly increased risk of PVC events as compared with the lowest quartile (HR 1.36; 95% CI 1.12–1.66); and stratified analyses showed similar result in males (HR 1.45; 95% CI 1.16–1.80), but not in females (HR 1.12; 95% CI 0.71–1.79). Moreover, elevated serum hs-CRP was associated with future PVC in participants without history of myocardial infarction or stroke (HR 1.34; 95% CI 1.09–1.65). Elevated hs-CRP was an independent predictor of PVC in Chinese population, especially in men.

Lipid profile and incidence of atrial fibrillation: A prospective cohort study in China

The association between dyslipidemia, a major risk factor for cardiovascular diseases, and atrial fibrillation (AF) is not clear because of limited evidence.

Elevated Long Term Resting Heart Rate Variation is Associated with Increased Risk of All-cause Mortality in Northern China

Elevated resting heart rate (RHR) predicts all-cause death. However, the relationship between RHR variation over years and mortality are still unknown. We aimed to analyze the association between RHR variation and all-cause mortality in the general population without cardiovascular diseases. A total of 46,873 subjects were included from the Kailuan Study (2006–2011). RHR readings were taken during three separate examinations and the RHR variation was defined using the standard deviation (RHR-SD) and the coefficient of variation. Participants were divided into four groups according to the quartiles of RHR-SD. All subjects were followed for a median of 49.4 months from the date of the 3rd examination to December 31, 2014. Up until the follow-up examinations, 973 (2.08%) participants had died. In a multivariate analysis, adjusting for variables potentially associated with death, the highest quartile of RHR-SD remained an independent predictor of all-cause mortality (Hazards ratio = 1.43, 95% confidence interval 1.18–1.74, P < 0.001). These findings suggest that an elevated long-term RHR variation is an independent risk marker for all-cause mortality in the general population without known cardiovascular diseases.