The incidence of cardiovascular diseases (CVD) together with their associated risk factors increasingly impact public health. According to the data provided in the 2024 Annual Report on Cardiovascular Health and Diseases in China, the crude incidence of cardiovascular and cerebrovascular diseases among Chinese residents aged ≥18 years, including acute myocardial infarction (AMI), angina pectoris treated by percutaneous transluminal coronary angioplasty/stent implantation and/or coronary artery bypass grafting, stroke, and sudden cardiac death was 620.33 per 100,000 population, with 87.6 for AMI. Stroke had an incidence of 491.0 per 100,000 population. The prevalence of adult coronary heart disease (CHD, aged ≥18 years) was 758 per 100,000 population. The CVD mortality in 2021 remained the highest, exceeding that of cancer and other causes. The crude mortality rate of CVD in 2021 was 364.16 per 100,000 population in rural areas and 305.39 per 100,000 population in urban areas. The crude mortality rates of cerebrovascular diseases and CHD among urban and rural residents in 2021 were 140.02 and 175.58, 135.08 and 148.19 per 100,000 population, respectively. In addition to interpreting the key findings of CVD incidence and mortality in China, we also update the data of associated risk factors, including tobacco use, physical activity, diet and nutrition, overweight and obesity, hypertension, dyslipidemia, diabetes, chronic kidney disease, sleep and psychological factors, environmental factors, and the diagnostic conditions of CVD diseases, aiming to provide a scientific foundation for advancing CVD prevention and control, and to inform relevant public health policy development.
Humans ; China/epidemiology* ; Cardiovascular Diseases/mortality* ; Risk Factors ; Adult ; Male ; Female ; Middle Aged ; Incidence ; Cerebrovascular Disorders/epidemiology* ; Aged

OBJECTIVE: Although dietary preferences influence chronic diseases, few studies have linked dietary preferences to mortality risk, particularly in large cohorts. To investigate the relationship between dietary preferences and mortality risk (all-cause, cancer, and cardiovascular disease [CVD]) in a large adult cohort. METHODS: A cohort of 1,160,312 adults (mean age 62.48 ± 9.55) from the Shenzhen Healthcare Big Data Cohort (SHBDC) was analyzed. Hazard ratios ( HRs) for mortality were estimated using the Cox proportional hazards model. RESULTS: The study identified 12,308 all-cause deaths, of which 3,865 (31.4%) were cancer-related and 3,576 (29.1%) were attributed to CVD. Compared with a mixed diet of meat and vegetables, a mainly meat-based diet (hazard ratio [ HR] = 1.13; 95% confidence interval [ CI]: 1.02, 1.27) associated with a higher risk of all-cause mortality, while mainly vegetarian ( HR = 0.87; 95% CI: 0.78, 0.97) was linked to a reduced risk. Furthermore, there was a stronger correlation between mortality risk and dietary preference in the > 65 age range. CONCLUSION A meat-based diet was associated with an increased risk of all-cause mortality, whereas a mainly vegetarian diet was linked to a reduced risk.
Humans ; China/epidemiology* ; Middle Aged ; Male ; Female ; Prospective Studies ; Aged ; Cardiovascular Diseases/mortality* ; Diet/statistics & numerical data* ; Neoplasms/mortality* ; Adult ; Cause of Death ; Food Preferences ; Proportional Hazards Models ; Mortality ; Cohort Studies

OBJECTIVE: Evidence that long-term exposure to ambient air pollution increases mortality among older adults, particularly those residing in low-level air pollution locations, remains scarce. This study investigated the potential links between long-term low-level air pollution exposure and mortality among Chinese older adults. METHODS: A population-based study with 317,464 individuals aged ≥ 65 years was conducted in Shenzhen, China during 2018 and 2020. Logistic regression models were used to analyze the associations between long-term exposure to air pollution and all-cause mortality, as the primary outcome, as well as non-accidental, cancer and cardiovascular mortality. RESULTS: Significant associations of PM ₁, PM _2.5, PM ₁₀, SO ₂, CO, and O ₃ exposures with a higher risk of all-cause mortality were found. Adjusted odds ratio ( OR) for each 1 µg/m ³ increment was 1.49 [95% confidence interval ( CI): 1.46, 1.53] for PM ₁, 1.30 (1.27, 1.32) for PM _2.5, 1.05 (1.04, 1.06) for PM ₁₀, 5.84 (5.39, 6.32) for SO ₂, 1.04 (1.04, 1.05) for CO, and 1.02 (1.00, 1.03) for O ₃, respectively. Long-term PM ₁, PM _2.5, PM ₁₀, SO ₂, and CO exposures also elevated the risks of non-accidental, cancer and cardiovascular mortality. CONCLUSION Long-term low-level air pollution exposure was associated with an increased mortality risk among Chinese older adults.
Humans ; Aged ; China/epidemiology* ; Male ; Female ; Air Pollution/adverse effects* ; Environmental Exposure/adverse effects* ; Air Pollutants/analysis* ; Aged, 80 and over ; Particulate Matter/adverse effects* ; Cardiovascular Diseases/mortality* ; Mortality ; Neoplasms/mortality* ; East Asian People

Humans ; Temperature ; Cities/epidemiology* ; Hot Temperature ; Cardiovascular Diseases/epidemiology* ; China/epidemiology* ; Mortality

INTRODUCTION: There is paucity of data on the occurrence of cardiovascular events (CVEs) in critically ill patients with sepsis. We aimed to describe the incidence, risk factors and impact on mortality of CVEs in these patients. METHODS: This was a retrospective cohort study of critically ill patients admitted to the medical intensive care unit (ICU) between July 2015 and October 2016. The primary outcome was intra-hospital CVEs, while the secondary outcomes were in-hospital mortality, ICU and hospital length of stay. RESULTS: Patients with sepsis (n=662) had significantly more CVEs compared to those without (52.9% versus 23.0%, P<0.001). Among sepsis patients, 350 (52.9%) had 1 or more CVEs: 59 (8.9%) acute coronary syndrome; 198 (29.9%) type 2 myocardial infarction; 124 (18.7%) incident atrial fibrillation; 76 (11.5%) new or worsening heart failure; 32 (4.8%) cerebrovascular accident; and 33 (5.0%) cardiovascular death. Factors associated with an increased risk of CVEs (adjusted relative risk [95% confidence interval]) included age (1.013 [1.007-1.019]); ethnicity-Malay (1.214 [1.005-1.465]) and Indian (1.240 [1.030-1.494]) when compared to Chinese; and comorbidity of ischaemic heart disease (1.317 [1.137-1.527]). There were 278 patients (79.4%) who developed CVEs within the first week of hospitalisation. Sepsis patients with CVEs had a longer median (interquartile range [IQR]) length of stay in the ICU (6 [3-12] vs 4 [2-9] days, P<0.001), and hospital (21 [10-42] vs 15 [7-30] days, P<0.001) compared to sepsis patients without CVEs. There was no difference in in-hospital mortality between the 2 groups (46.9% vs 45.8%, P=0.792). CONCLUSION CVEs complicate half of the critically ill patients with sepsis, with 79.4% of patients developing CVEs within the first week of hospitalisation, resulting in longer ICU and hospital length of stay.
Cardiovascular Diseases/epidemiology* ; Critical Illness/epidemiology* ; Hospital Mortality ; Humans ; Intensive Care Units ; Length of Stay ; Retrospective Studies ; Risk Factors ; Sepsis/epidemiology*

Objective: To explore associations between lipoprotein-associated phospholipase A2 (Lp-PLA2) and the risk of cardiovascular events in a Chinese population, with a long-term follow-up. Methods: A random sample of 2,031 participants (73.6% males, mean age = 60.4 years) was derived from the Asymptomatic Polyvascular Abnormalities Community study (APAC) from 2010 to 2011. Serum Lp-PLA2 levels were determined by enzyme-linked immunosorbent assay (ELISA). The composite endpoint was a combination of first-ever stroke, myocardial infarction (MI) or all-cause death. Lp-PLA2 associations with outcomes were assessed using Cox models. Results: The median Lp-PLA2 level was 141.0 ng/mL. Over a median follow-up of 9.1 years, we identified 389 events (19.2%), including 137 stroke incidents, 43 MIs, and 244 all-cause deaths. Using multivariate Cox regression, when compared with the lowest Lp-PLA2 quartile, the hazard ratios with 95% confidence intervals for developing composite endpoints, stroke, major adverse cardiovascular events, and all-cause death were 1.77 (1.24-2.54), 1.92 (1.03-3.60), 1.69 (1.003-2.84), and 1.94 (1.18-3.18) in the highest quartile, respectively. Composite endpoints in 145 (28.6%) patients occurred in the highest quartile where Lp-PLA2 (159.0 ng/mL) was much lower than the American Association of Clinical Endocrinologists recommended cut-off point, 200 ng/mL. Conclusion Higher Lp-PLA2 levels were associated with an increased risk of cardiovascular event/death in a middle-aged Chinese population. The Lp-PLA2 cut-off point may be lower in the Chinese population when predicting cardiovascular events.
1-Alkyl-2-acetylglycerophosphocholine Esterase/blood* ; Asians ; Cardiovascular Diseases/diagnosis* ; China/epidemiology* ; Female ; Humans ; Longitudinal Studies ; Male ; Middle Aged ; Mortality ; Myocardial Infarction/blood* ; Predictive Value of Tests ; Risk Factors ; Stroke/blood*

Objective: To analyze the North-South difference of the relationship between cold spells and mortality risk of cardiovascular diseases in China. Methods: The time series analysis method was used to collect the daily counts of cardiovascular mortality data, meteorological data and PM_2.5 concentration in the cold season (November to March of the following year) from January 1, 2013 to December 31, 2018 in 280 districts and counties in China. The non-constrained distributed lag linear model was used to analyze the relationship between cold spells and mortality risk of cardiovascular diseases and its North-South difference in China. Results: From 2013 to 2018, the mean of daily average temperature of the cold season in 280 districts and counties was 5.4 ℃. The mean of daily average relative humidity was 64.4%, and the mean of daily average PM_2.5 concentration was 73.7 μg/m³. The average cold spell days in each county was 11.7 days per year,the mean of daily average temperature on cold spell days was (-2.4±6.7) ℃, and M (Q₁, Q₃) was -1.5 (-5.1, 1.1) ℃. The average of daily number of cardiovascular disease deaths in each county/district was (6±5) cases, and M (Q₁, Q₃) was 5 (2, 8) cases. The percentage change (95%CI) in the South was 4.94% (3.69%, 6.20%) (lag 0 d), higher than that in the North [the percentage change (95%CI) was 1.49% (1.14%-1.84%) (lag 0-7 d)]. In the North, the mortality risk of ≥75 years old was relatively low among three age groups, with a percentage change (95%CI) about 1.63% (1.33%-1.93%) (lag 0-21 d). In the South, the mortality risk of ≥ 75 years old was relatively high among three age groups, with a percentage change (95%CI) about 5.18% (3.78%-6.59%) (lag 0 d). Conclusion: The mortality risk of cardiovascular diseases caused by cold spells in the South is higher than that in the North of China, and the risk peak occurs earlier in the South.
Humans ; Aged ; Cardiovascular Diseases ; Cold Temperature ; Temperature ; China/epidemiology* ; Particulate Matter/analysis* ; Mortality

BACKGROUND: Ambient temperature may contribute to seasonality of mortality; in particular, a warming climate is likely to influence the seasonality of mortality. However, few studies have investigated seasonality of mortality under a warming climate. METHODS: Daily mean temperature, daily counts for all-cause, circulatory, and respiratory mortality, and annual data on prefecture-specific characteristics were collected for 47 prefectures in Japan between 1972 and 2015. A quasi-Poisson regression model was used to assess the seasonal variation of mortality with a focus on its amplitude, which was quantified as the ratio of mortality estimates between the peak and trough days (peak-to-trough ratio (PTR)). We quantified the contribution of temperature to seasonality by comparing PTR before and after temperature adjustment. Associations between annual mean temperature and annual estimates of the temperature-unadjusted PTR were examined using multilevel multivariate meta-regression models controlling for prefecture-specific characteristics. RESULTS: The temperature-unadjusted PTRs for all-cause, circulatory, and respiratory mortality were 1.28 (95% confidence interval (CI): 1.27-1.30), 1.53 (95% CI: 1.50-1.55), and 1.46 (95% CI: 1.44-1.48), respectively; adjusting for temperature reduced these PTRs to 1.08 (95% CI: 1.08-1.10), 1.10 (95% CI: 1.08-1.11), and 1.35 (95% CI: 1.32-1.39), respectively. During the period of rising temperature (1.3 °C on average), decreases in the temperature-unadjusted PTRs were observed for all mortality causes except circulatory mortality. For each 1 °C increase in annual mean temperature, the temperature-unadjusted PTR for all-cause, circulatory, and respiratory mortality decreased by 0.98% (95% CI: 0.54-1.42), 1.39% (95% CI: 0.82-1.97), and 0.13% (95% CI: - 1.24 to 1.48), respectively. CONCLUSION Seasonality of mortality is driven partly by temperature, and its amplitude may be decreasing under a warming climate.
Cardiovascular Diseases/mortality* ; Cause of Death ; Climate Change/mortality* ; Cold Temperature/adverse effects* ; Hot Temperature/adverse effects* ; Humans ; Japan/epidemiology* ; Mortality/trends* ; Regression Analysis ; Respiratory Tract Diseases/mortality* ; Seasons ; Time

Cardiovascular disease (CVD) is considered a primary driver of global mortality and is estimated to be responsible for approximately 17.9 million deaths annually. Consequently, a substantial body of research related to CVD has developed, with an emphasis on identifying strategies for the prevention and effective treatment of CVD. In this review, we critically examine the existing CVD literature, and specifically highlight the contribution of Mendelian randomization analyses in CVD research. Throughout this review, we assess the extent to which research findings agree across a range of studies of differing design within a triangulation framework. If differing study designs are subject to non-overlapping sources of bias, consistent findings limit the extent to which results are merely an artefact of study design. Consequently, broad agreement across differing studies can be viewed as providing more robust causal evidence in contrast to limiting the scope of the review to a single specific study design. Utilising the triangulation approach, we highlight emerging patterns in research findings, and explore the potential of identified risk factors as targets for precision medicine and novel interventions.
Artifacts ; Bias (Epidemiology) ; Cardiovascular Diseases ; Mendelian Randomization Analysis ; Mortality ; Precision Medicine ; Random Allocation ; Risk Factors

A third of men with type 2 diabetes (T2DM) have hypogonadotrophic hypogonadism (HH) and associated increased risk of cardiovascular and all-cause mortality. Men with HH are at increased risk of developing incident T2DM. We conducted MEDLINE, EMBASE, and COCHRANE reviews on T2DM, HH, testosterone deficiency, cardiovascular and all-cause mortality from May 2005 to October 2017, yielding 1,714 articles, 52 clinical trials and 32 randomized controlled trials (RCT). Studies with testosterone therapy suggest significant benefits in sexual function, quality of life, glycaemic control, anaemia, bone density, fat, and lean muscle mass. Meta-analyses of RCT, rather than providing clarification, have further confused the issue by including under-powered studies of inadequate duration, multiple regimes, some discontinued, and inbuilt bias in terms of studies included or excluded from analysis.
Bias (Epidemiology) ; Bone Density ; Cardiovascular Diseases ; Diabetes Mellitus, Type 2 ; Humans ; Hypogonadism ; Male ; Mortality ; Quality of Life ; Testosterone*