| Literature DB >> 35729555 |
Jian-Jun Li1, Hui-Hui Liu2, Sha Li2.
Abstract
With rapid economic growth and changes at all levels (including environmental, social, individual), China is facing a cardiovascular disease (CVD) crisis. In China, more than 40% of deaths are attributable to CVDs, and the number of CVD deaths has almost doubled in the past decades, in contrast to a decline in high-income countries. The increasing prevalence of cardiometabolic risk factors underlies the rise of CVDs, and thus curbing the rising cardiometabolic pandemic is imperative. Few articles have addressed this topic and provided an updated review of the epidemiology of cardiometabolic risk factors in China.In this narrative review, we describe the temporal changes in the prevalence of cardiometabolic risk factors in the past decades and their management in China, including both the well-recognized risk factors (general obesity, central obesity, diabetes, prediabetes, dyslipidemia, hypertension) and the less recognized ones (hyperhomocysteinemia, hyperuricemia, and high C-reactive protein). We also summarize findings from landmark clinical trials regarding effective interventions and treatments for cardiometabolic risk factors. Finally, we propose strategies and approaches to tackle the rising pandemic of cardiometabolic risk factors in China. We hope that this review will raise awareness of cardiometabolic risk factors not only in Chinese population but also global visibility, which may help to prevent cardiovascular risk.Entities:
Keywords: Cardiometabolic risk factors; Cardiovascular Disease; China; Review
Mesh:
Year: 2022 PMID: 35729555 PMCID: PMC9215083 DOI: 10.1186/s12933-022-01551-3
Source DB: PubMed Journal: Cardiovasc Diabetol ISSN: 1475-2840 Impact factor: 8.949
Fig. 1Prevalence and mortality of cardiovascular diseases in China and high-income countries from 1990 to 2019. A Number (left panel) and rate (right panel) of CVD prevalent cases in China and high-income countries; B Numebr of CVD deaths (left panel) and mortality rate (right panel) in China and high-income countries. Figures were developed according to data from http://ghdx.healthdata.org/gbd-results-tool
Large-scale cohort studies of cardiometabolic risk factors in China
| Cohort | Years of study | Geographic coverage | Sample sizea | Age |
|---|---|---|---|---|
| China Health and Retirement Longitudinal Study | 2011–2018 | 150 county-level units from 28 provinces | 17 500 | ≥ 45 years |
| InterAsia | 2000–2001 | 20 primary sampling unites covering 10 provinces | 15 838 | 35–74 years |
| China National Nutrition Surveys/China Health and Nutrition Survey/China National Nutrition and Health Surveillance | 1959–2015 | 31 provinces, autonomous regions, and municipalities | 44 097 | All ages |
| China Noncommunicable Disease Surveillance 2010 | 2010 | 162 study sites covering 31 provinces, autonomous regions, and municipalities | 98 658 | ≥ 18 years |
| China Kadoorie Biobank | 2004–2014 | Five urban (Qingdao, Harbin, Haikou, Suzhou, Liuzhou) and 5 rural (Gansu, Sichuan, Henan, Zhejiang, Hunan) areas | 512 891 | 30–79 |
| China Chronic Disease and Risk Factors Surveillance study | 2004–2018 | 31 provinces, autonomous regions, and municipalities | 746 020 | ≥ 18 years |
| China National Diabetes and Metabolic Disorders Study | 2007–2008 | 152 urban street districts and 112 rural villages | 54 240 | ≥ 20 years |
| Thyroid Disorders, Iodine Status and Diabetes Epidemiological Survey | 2015–2017 | 31 provinces, autonomous regions, and municipalities | 75 880 | ≥ 18 years |
| China Multi-Ethnic Cohort | 2018–2019 | Participants from six ethnic minority groups and the Han group were enrolled in Southwest China | 99 556 | 30–79 |
| China Patient-centered Evaluative Assessment of Cardiac Events Million Persons Project | 2014–2019 | 3041 primary care institutions covering 31 provinces | 2 660 666 | 35–75 years |
| China Cardiometabolic Disease and Cancer Cohort Study | 2010–2016 | 20 communities covering 16 provinces, autonomous regions, or municipalities of mainland China | 193 846 | ≥ 40 years |
| China National Stroke Screening and Prevention Project | 2014–2015 | 200 project areas covering 31 provinces, autonomous regions, or municipalities of mainland China | 726 451 | ≥ 40 years |
| China Hypertension Survey | 2012–2015 | 31 provinces, autonomous regions, or municipalities of mainland China | 487 349 | ≥ 15 years |
aIf sample size differs between rounds of study, the maximum sample size is provided
Fig. 2Trend in the prevalence and mean value of conventional cardiometabolic risk factors in China and the US. Temporal treads in the mean values or prevalence of cardiometabolic risk factor among male and female adults in China (left panel) and the United States (right panel). Adapted from https://www.ncdrisc.org/index.html
Landmark clincial trials of cardiometabolic risk factors in China
| Study | Year | Participants | Intervention or Treatment | Outcomes (Intervention/Treatment vs Control) |
|---|---|---|---|---|
| Da Qing Diabetes Prevention Study [ | 1986–2016 | 577 adults aged 25–74 with impaired glucose tolerance | Lifestyle intervention groups (diet and/or exercise) | Primary outcomes: CVD events, HR = 0.74 (95% CI = 0.59, 0.92) |
| Microvascular complications, HR = 0.65 (95% CI = 0.45, 0.95) | ||||
| CVD mortality, HR = 0.67 (95% CI = 0.48, 0.94) | ||||
| All-cause mortality, HR = 0.74 (95% CI = 0.61, 0.89) | ||||
| Secondary outcomes: Stroke, HR = 0.75 (95% CI = 0.59, 0.96) | ||||
| Coronary heart disease, HR = 0.73 (95% CI = 0.51, 1.04) | ||||
| Hospital admission for heart failure, HR = 0.71 (95% CI = 0.48, 1.04) | ||||
| Diabetes, HR = 0.61 (95% CI = 0.45, 0.83) | ||||
| Retinopathy, HR = 0.60 (95% CI = 0.38, 0.95) | ||||
| Nephropathy, HR = 0.68 (95% CI = 0.36, 1.28) | ||||
| Neuropathy, HR = 0.57 (95% CI = 0.24, 1.36) | ||||
| China Stroke Primary Prevention Trial (NCT00794885) [ | 2008–2013 | 20 702 adults aged 45–75 years with hypertension and without a history of CVDs | Folic acid plus enalapril | Primary outcome: Stroke, HR = 0.79 (95% CI = 0.68, 0.93) |
| Secondary outcomes: CVD events, HR = 0.80 (95% CI = 0.69, 0.92) | ||||
| Ischemic stroke, HR = 0.76 (95% CI = 0.64, 0.91) | ||||
| Hemorrhagic stroke, HR = 0.93 (95% CI = 0.65, 1.34) | ||||
| MI, HR = 1.04 (95% CI = 0.60, 1.82) | ||||
| All-cause mortality, HR = 0.94 (95% CI = 0.81, 1.10) | ||||
| China Salt Substitute and Stroke Study (NCT02092090) [ | 2014–2020 | 20 995 adults who had a history of stroke or were aged ≥ 60 years and had hypertension | Salt substitute | Primary outcome: Stroke, rate ratio = 0.86 (95% CI = 0.77, 0.96) |
| Secondary outcomes: Major CVD events, rate ratio = 0.87 (95% CI = 0.80, 0.94) | ||||
| All-cause mortality, rate ratio = 0.88 (95% CI = 0.82, 0.95) | ||||
| Chinese Coronary Secondary Prevention Study [ | 1996–2003 | 4 870 adults aged 18–70 years with a history of MI | Xuezhikang | Primary outcome: Major coronary events, relative risk, 0.55 |
Secondary outcomes: CVD morality, relative risk = 0.70 (95% CI = 0.54, 0.89) | ||||
| All-cause mortality, relative risk = 0.67 (95% CI, 0.52, 0.82) | ||||
| Coronary revascularization, relative risk = 0.64 (95% CI = 0.47, 0.86) | ||||
| Change in lipoprotein lipids,− 10.9% for total cholesterol,− 17.6% for LDL cholesterol,− 16.6% for non-HDL cholesterol,− 14.6% for triglycerides, and 4.2% for HDL cholesterol | ||||
| Strategy of Blood Pressure Intervention in the Elderly Hypertensive Patients (NCT03015311) [ | 2017–2020 | 8511 patients aged 60–80 years with hypertension | Intensive treatment (a systolic blood-pressure target of 110 to less than 130 mm Hg) | Primary outcome: CVD events, HR = 0.74 (95% CI = 0.60, 0.92) |
| Secondary outcomes: Stroke, HR = 0.67 (95% CI = 0.47, 0.97) | ||||
| Acute coronary syndrome, HR = 0.67 (95% CI = 0.47, 0.94) | ||||
| Acute decompensated heart failure, HR = 0.27 (95% CI = 0.08, 0.98) | ||||
| Coronary revascularization, HR = 0.69 (95% CI = 0.40, 1.18) | ||||
| Atrial fibrillation, HR = 0.96 (95% CI = 0.55, 1.68) | ||||
| CVD mortality, HR = 0.72 (95% CI = 0.39, 1.32) | ||||
| Acarbose Cardiovascular Evaluation (NCT00829660) [ | 2009–2015 | 6522 patients with coronary heart disease and impaired glucose tolerance | Acarbose | Primary outcome: CVD events, HR = 0.98 (95% CI = 0.86, 1.11) |
| Secondary outcomes: CVD events, all-cause mortality, CVD mortality, impaired renal function, not significantly different between arms | ||||
| Diabetes, rate ratio = 0.82 (95% CI = 0.71, 0.94) |
CI confidence interval, CVD cardiovascular disease, HR hazard ratio, MI myocardial infarction
Fig. 3An interactive network of cardiometabolic risk factors. Cardiometabolic risk factors include health conditions, biomarkers, and environmental factors. The heath conditions, including overweight or obesity, abdominal obesity, impaired glucose metabolism, dyslipidemia, and hypertension, frequently cluster in individuals at risk for CVDs and may contribute to each other. Underlying this phenomenon is a close link between different organs and tissues. At the molecular level, these health conditions are usually accompanied by an increase in biomarkers such as cytokines, C-reactive protein, adipokines, uric acid, and homocysteine in the blood stream; the increase in these biomarkers represent a proinflammatory state and oxidative stress, which contribute to atherosclerosis and development of CVDs. CVD, cardiovascular disease; HDL, high-density lipoprotein; LDL, low-density lipoprotein