Yuntao Wu

Prevalence of Ideal Cardiovascular Health and Its Relationship With the 4-Year Cardiovascular Events in a Northern Chinese Industrial City

Background— The American Heart Association Committee recently developed definitions of “ideal,” “intermediate,” and “poor” cardiovascular health based on 7 cardiovascular disease (CVD) risk factors or health behaviors. This study evaluated the prevalence of “ideal” American Heart Association cardiovascular health metrics from June 2006 to October 2007 in the Kailuan cohort (n=101 510; age 18–98 years) in northern China and its relationship with the 4-year CVD incidence. Methods and Results— We used Cox proportional hazards regression to calculate hazard ratios and 95% confidence intervals for baseline health behaviors and risk factor categories. The majority of participants (63 676; 69.45%) presented with ⩽3 ideal cardiovascular health metrics, whereas 8342 participants (9.1%) had 5 to 7 ideal metrics. Only 93 of 91 698 participants (0.1%) had all 7 metrics in the ideal range. There was a strong relationship between the cumulative incidence of CVD events in the 4-year follow-up and the number of ideal health metrics at baseline; the 1111 participants with 6 and 7 ideal metrics had a significantly lower cumulative incidence of CVD than subjects with no or only 1 ideal health metric (0.8% versus 3.3%). Men had higher rates of CVD events than women (2.46% versus 1.18%). Conclusions— Few adults had ideal cardiovascular health according to the modified American Heart Association definition. We detected a strong inverse relationship between the cumulative CVD incidence and the number of ideal health metrics at baseline. Population-wide prevention, especially lifestyle improvement, is critical to increase the low-risk prevalence and thereafter decrease CVD events. Clinical Trial Registration— URL: http://www.chictr.org/cn/proj/show.aspx?proj=1441. Unique identifier: ChiCTR-TNC-11001489.

The ideal cardiovascular health metrics associated inversely with mortality from all causes and from cardiovascular diseases among adults in a Northern Chinese industrial city.

Background and Aims The American Heart Association has recently established seven ideal cardiovascular health metrics for cardiovascular health promotion and disease reduction (i.e., non-smoking, normal body mass index, physically active, healthy diet, and normal levels of cholesterol, blood pressure and fasting blood glucose). The present study seeks to evaluate how well these metrics predict mortality from all causes and cardiovascular diseases in adult Chinese living in a northern industrial city. Methods and Results Data of 95,429 adults who participated in the Kailuan cohort study from June 2006 to October 2007 was analyzed. All participants underwent questionnaire assessment, clinical examination, laboratory assessments and were followed up biannually. During a median follow-up of 4.02 years, 1,843 deaths occurred, with 597 deaths resulting from cardiovascular diseases. Lower mortality rates from all causes and cardiovascular diseases were observed among the subjects who met a higher number of the ideal health metrics. Compared to the participants who met none or one ideal health metric, those meeting ≥5 ideal health metrics had a lower risk of all-cause mortality by 30% (adjusted hazard ratio, 0.70; 95% confidence interval, 0.56–0.88) and a lower risk of mortality from cardiovascular diseases by 39% (adjusted hazard ratio, 0.61; 95% confidence interval, 0.41–0.89) . Four metrics (smoking status, physical activity, blood pressure and fasting blood glucose) were significantly associated with all-cause mortality. Three metrics (physical activity, blood pressure and fasting blood glucose) were significantly associated with mortality from cardiovascular diseases. Conclusion The number of ideal health metrics is negatively associated with mortality rates from all causes and cardiovascular diseases among adults in a Northern Chinese industrial city. The data supports the AHA recommendation of ideal health metrics for adults from Northern China.

Resting heart rate and risk of hypertension: results of the Kailuan cohort study.

Objective: Resting heart rate (RHR) is a predictive risk factor of the development of cardiovascular diseases, but its association with arterial hypertension has remained unclear. This study investigated the relationship between RHR and new-onset hypertension (NOH) in an Asian population. Methods: The Kailuan study is a prospective longitudinal cohort study on cardiovascular risk factors and cardiovascular or cerebrovascular events. Hazard ratios with 95% confidence intervals (CIs) were calculated using Cox regression modelling. Results: Out of 101 510 individuals originally included into the Kailuan study, 31 507 participants (mean age: 46.3 ± 11.5 years) were selected with no previous arterial hypertension or cardiac arrhythmias. After a mean follow-up period of 3.5 ± 0.9 years, 12 565 (39.88%) individuals developed arterial hypertension. Incidence of hypertension was 104.4, 109.7, 114.2 and 124.6 per 1000 person-years for each RHR quartile. In multivariate analysis with adjustment for blood pressure, blood lipids, diabetes mellitus and other parameters, hazard ratios for NOH increased significantly (P < 0.0001) with increasing RHR quartile. Increase in RHR by 10 beats/minute was associated with an 8% increase in NOH. Individuals in the highest RHR quartile as compared with participants in the lowest quartile demonstrated a 16% greater risk of developing NOH [hazard ratio 1.16; 95% confidence interval (CI) 1.11–1.23]. There were no significant interactions between RHR and prehypertension, diabetes mellitus, age and BMI in terms of NOH risk, respectively. Conclusion: Independently of other baseline parameters such as blood pressure, blood lipids and diabetes mellitus, elevated RHR significantly increases the risk of incident hypertension. Measuring RHR is helpful in predicting the risk of eventual arterial hypertension.

Resting Heart Rate and Risk of Cardiovascular Diseases and All-Cause Death: The Kailuan Study

Background Resting heart rate (RHR) predicts both cardiovascular and noncardiovascular death in different populations. However, the results of the association between RHR and cardiovascular diseases (CVDs) are inconsistent, especially for each subtype of CVDs. Objective The aim of this study was to prospectively explore the relationship between RHR and CVDs including myocardial infarction (MI), ischemic stroke, and hemorrhagic stroke and all-cause death in a general population. Methods The Kailuan study is a prospective longitudinal cohort study on cardiovascular risk factors and cardiovascular or cerebrovascular events. Hazard ratio (HR) with 95% confidence intervals (CI) were calculated using Cox regression modeling. Results We analyzed 92,562 participants (18–98 years old) in the Kailuan Study. CVDs were developed in 1,903 people during follow-ups. In multivariate analysis with adjustment for major traditional cardiovascular risk factors, HRs of the highest quintile group compared with the lowest quintile group of RHR for all-cause CVDs, MI, any stroke, ischemic stroke, hemorrhagic stroke, and all-cause death were 1.03 (95% CI, 0.98–1.07), 1.10 (95% CI, 1.01–1.20), 1.01 (95% CI, 0.97–1.06), 1.02 (95% CI, 0.96–1.07), 1.01 (95% CI, 0.92–1.11) and 1.18, (95% CI, 1.13–1.23), respectively. Conclusions The elevated RHR was independently associated with the increased risk for MI and all-cause death, but not for all-cause CVDs, any stroke, ischemic stroke, nor hemorrhagic stroke. This indicates that the elevated RHR might be a risk marker for MI and all-cause death in general populations.

Cardiovascular Health Score and the Risk of Cardiovascular Diseases

In 2010 the American Heart Association proposed a definition of ideal health behaviors and health factors to measure cardiovascular health, from which Huffman et al. created the Cardiovascular Health Score (CVH score) to estimate these metrics on an individual level. We performed a prospective cohort study among employees of the Kailuan Group Corporation, who underwent a physical examination in 2006–2007 to investigate the relationship between the CVH score and the risk of cardiovascular disease (CVD). A total of 91,598 individuals free of stroke and myocardial infarction at baseline were included in the final analysis. We calculated baseline CVH score for each metric (poor=0, intermediate=1, ideal=2 points; range=0–14 points for all seven metrics) and categorized them into three groups: inadequate (0–4 points), average (5–9 points), and optimum (10–14 points). Incidence of total number of CVD events, myocardial infarction, and stroke was analyzed among these three groups and each incremental point on the CVH score. During an average 6.81 years of follow-up, there were 3276 CVD events, 2579 strokes and 747 myocardial infarction occurred. After adjusting for several confounding factors, each better health category of the CVH score was associated with reduced odds of 47% for all CVD events, and each point higher on the CVH score was associated with reduced odds of 18%. Similar trends were detected in the risks for myocardial infarction and stroke. A higher CVH score is therefore a protective factor for CVD, myocardial infarction, and stroke.

Metabolic syndrome is associated with and predicted by resting heart rate: a cross-sectional and longitudinal study

Objective Although higher resting heart rate (RHR) has emerged as a predictor for lifespan, the underlying mechanisms remain obscure. The present study investigates whether a positive relationship exists between RHR and metabolic syndrome (MetS) and whether RHR predicts future MetS. Methods A cohort of 89 860 participants were surveyed during 2006–2007 in Kailuan/Tangshan, China. MetS was diagnosed when a participant presented at least three of the following: abdominal adiposity, low high density lipoprotein-cholesterol, high triglycerides, hypertension or impaired fasting glucose. RHR was derived from ECG recordings and subjects were stratified based on RHR. Some participants without MetS at baseline were followed-up for 4 years. Results At baseline, 23 150 participants (25.76%) had MetS. There was a positive association between RHR and MetS. The OR of having MetS was 1.49 (95% CI 1.32 to 1.69) in subjects with RHR at 95–104 compared with those at 55–64 beats per minute (bpm) (reference), after adjusting for variables including age, sex, education, cigarette smoking, alcohol drinking, physical activities, body mass index, hypertension, diabetes, hyperlipidaemia, inflammatory biomarkers and renal function. More importantly, when 43 725 individuals from the original study without MetS at baseline were followed-up, higher RHR was found to predict greater risk of MetS incidence. The OR of developing MetS 4 years later was 1.41 (95% CI 1.21 to 1.65) in subjects with RHR at 95–104 bpm compared with reference, after all adjustments. Conclusions Our cross-sectional and longitudinal findings provide evidence that RHR is an independent risk factor for existing MetS and a powerful predictor for future incidence of MetS.

Longitudinal study of alcohol consumption and HDL concentrations: a community-based study

Background: In cross-sectional studies and short-term clinical trials, it has been suggested that there is a positive dose-response relation between alcohol consumption and HDL concentrations. However, prospective data have been limited.Objective: We sought to determine the association between total alcohol intake, the type of alcohol-containing beverage, and the 6-y (2006-2012) longitudinal change in HDL-cholesterol concentrations in a community-based cohort.Design: A total of 71,379 Chinese adults (mean age: 50 y) who were free of cardiovascular diseases and cancer and did not use cholesterol-lowering agents during follow-up were included in the study. Alcohol intake was assessed via a questionnaire in 2006 (baseline), and participants were classified into the following categories of alcohol consumption: never, past, light (women: 0-0.4 servings/d; men: 0-0.9 servings/d), moderate (women: 0.5-1.0 servings/d; men: 1-2 servings/d), and heavy (women: >1.0 servings/d; men: >2 servings/d). HDL-cholesterol concentrations were measured in 2006, 2008, 2010, and 2012. We used generalized estimating equation models to examine the associations between baseline alcohol intake and the change in HDL-cholesterol concentrations with adjustment for age, sex, smoking, physical activity, obesity, hypertension, diabetes, liver function, and C-reactive protein concentrations.Results: An umbrella-shaped association was observed between total alcohol consumption and changes in HDL-cholesterol concentrations. Compared with never drinkers, past, light, moderate, and heavy drinkers experienced slower decreases in HDL cholesterol of 0.012 mmol · L-1 · y-1 (95% CI: 0.008, 0.016 mmol · L-1 · y-1), 0.013 mmol · L-1 · y-1 (95% CI: 0.010, 0.016 mmol · L-1 · y-1), 0.017 mmol · L-1 · y-1 (95% CI: 0.009, 0.025 mmol · L-1 · y-1), and 0.008 mmol · L-1 · y-1 (95% CI: 0.005, 0.011 mmol · L-1 · y-1), respectively (P < 0.0001 for all), after adjustment for potential confounders. Moderate alcohol consumption was associated with the slowest increase in total-cholesterol:HDL-cholesterol and triglyceride:HDL-cholesterol ratios. We observed a similar association between hard-liquor consumption and the HDL-cholesterol change. In contrast, greater beer consumption was associated with slower HDL-cholesterol decreases in a dose-response manner.Conclusion: Moderate alcohol consumption was associated with slower HDL-cholesterol decreases; however, the type of alcoholic beverage had differential effects on the change in the HDL-cholesterol concentration.

Blood Pressure Trajectories and the Risk of Intracerebral Hemorrhage and Cerebral Infarction

The association between long-term blood pressure (BP) patterns in community-dwelling adults and risk of intracerebral hemorrhage and cerebral infarction is not well characterized. This prospective study included 79 385 participants, free of stroke, myocardial infarction, and cancer in or before 2010 (baseline). Systolic BP trajectories were identified using latent mixture modeling with data from 2006, 2008, and 2010. Incident cases of intracerebral hemorrhage and cerebral infarction occurred during 2010 to 2014, confirmed by review of medical records, by 3 physicians. We identified 5 distinct systolic BP trajectories during 2006 to 2010. Each of the trajectories was labeled according to their BP range and pattern over time: normotensive-stable (n=26 740), prehypertension-stable (n=35 674), stage 1 hypertension-increasing (n=8215), stage 1 hypertension-decreasing (n=6422), and stage 2 hypertension-stable (n=2334). We documented 1034 incident cases of cerebral infarction and 187 cases of intracerebral hemorrhage. Although the prehypertension-stable trajectory exhibited systolic BP range within the normal range (120–140 mm Hg) during 2006 to 2010, this group had higher stroke risk relative to the normotensive-stable group (<120 mm Hg) (adjusted hazard ratio was 3.11 for intracerebral hemorrhage and 1.99 for cerebral infarction; P<0.001 for both), after adjusting for possible confounders. Individuals in the stage 2 hypertension-stable systolic BP trajectory (175–179 mm Hg) had the highest risk of intracerebral hemorrhage (adjusted hazard ratio was 12.4) and cerebral infarction (adjusted hazard ratio was 5.07), relative to the normotensive-stable group (P<0.001 for both). BP trajectories were associated with the risk of stroke and increasing BP trajectories within the currently designated normal range may still increase the risk for stroke.

Longitudinal Change in Fasting Blood Glucose and Myocardial Infarction Risk in a Population Without Diabetes

OBJECTIVE To examine the change in fasting blood glucose (FBG) during repeated assessments over time and its potential impact on the risk of developing myocardial infarction (MI). RESEARCH DESIGN AND METHODS This prospective cohort study included 68,297 participants without diabetes (mean age 49 years) who were free of MI, stroke, and cancer prior to or in 2010 (baseline of the current analysis). FBG concentrations were measured in 2006, 2008, and 2010. The FBG trajectories during 2006–2010, the primary exposure of the current study, were identified by latent mixture modeling. Incident MI cases were confirmed via review of medical records by cardiologists. RESULTS We identified five discrete FBG trajectories according to FBG range and changing pattern over time: elevated-stable (n = 3,877), elevated-decreasing (n = 7,060), moderate-increasing (n = 10,298), moderate-stable (n = 40,352), and low-stable (n = 6,710). During 4 years of follow-up, we documented 283 incident MI cases. Relative to the moderate-stable pattern (FBG ranged from 4.9 to 5.1 mmol/L), adjusted hazard ratios (HRs) were 1.53 (95% CI 1.04, 2.26) for the elevated-stable pattern (FBG ranged from 6.1 to 6.3 mmol/L) and HR 0.61 (95% CI 0.38, 0.98) for the elevated-decreasing pattern (FBG decreased from 6.0 to 5.4 mmol/L), after adjustment for potential confounders such as age, sex, lifestyle factors, obesity, medical history, blood pressure, blood lipids, and C-reactive protein. Consistently, cumulative average and increasing rate of FBG during 2006–2010, but not a single baseline FBG, predicted future risk of MI. CONCLUSIONS We found that discrete FBG trajectories were significantly associated with subsequent risk of MI in individuals without diabetes. These observations suggest that long-term trajectories of FBG may be important for risk prediction of MI and possibly other macrovascular diseases.

Incidence, Development, and Prognosis of Diabetic Kidney Disease in China: Design and Methods

Background: Although that glomerulonephritis is the major cause of end-stage renal disease in developing countries such as China, the increasing prevalence of diabetes has contributed to the changing spectrum of predialysis chronic kidney disease. Recent studies have revealed an increased proportion of patients with diabetic kidney disease (DKD) in hemodialysis populations in large cities in China. However, studies regarding the clinical phenotype of DKD in China are extremely limited. The incidence, development, and prognosis of diabetic kidney disease (INDEED) study aims to investigate the incidence, progression, and prognosis of DKD, as well as the associated genetic, behavioral, and environmental factors and biomarkers in patients with DKD in China. Methods: INDEED study is a prospective cohort study based on all participants with diabetes in the Kailuan study, which is a general population-based cohort study in northern China. Altogether, over 10,000 participants with diabetes will be followed biennially. Questionnaires documenting general characteristics, behavioral and environmental factors, and medical history will be administrated. Anthropometric measurements and a series of laboratory tests will be performed in one central laboratory. The DNA, plasma, and urine samples of every participant will be stored in a biobank for future research. Conclusions: INDEED study will provide essential information regarding the clinical phenotype and prognosis of patients with DKD in China and will be valuable to identify factors and biomarkers associated with patients with DKD in China.