BACKGROUND: Understanding the changing profiles of cardiovascular disease (CVD) and modifiable risk factors is essential for CVD prevention and control. We aimed to report the comprehensive trends in CVD and risk factors in China from 1990 to 2019. METHODS: Data on the incidence, death, and disability-adjusted life years (DALYs) of total CVD and its 11 subtypes for China were obtained from the Global Burden of Disease Study 2019. The CVD burden attributable to 12 risk factors was also retrieved. A secondary analysis was conducted to summarize the leading causes of CVD burden and attributable risk factors. RESULTS: From 1990 to 2019, the number of CVD incidence, death, and DALYs considerably increased by 132.8%, 89.1%, and 52.6%, respectively. Stroke, ischemic heart disease, and hypertensive heart disease accounted for over 95.0% of CVD deaths in 2019 and remained the top three causes during the past 30 years. Between 1990 and 2019, the age-standardized rate of stroke decreased significantly (percentage of decreased incidence: -9.3%; death: -39.8%; DALYs: -41.6%), while the rate of ischemic heart disease increased (percentage of increased incidence: 11.5%; death: 17.6%; DALYs: 2.2%). High systolic blood pressure, unhealthy diet, tobacco, and air pollution continued to be the major contributors to CVD deaths and DALYs (attributing to over 70% of the CVD burden), and the high body mass index (BMI)-associated CVD burden had the largest increase between 1990 and 2019. CONCLUSIONS The significant increases in the number of CVD incident cases, deaths, and DALYs suggest that the CVD burden is still a concern. Intensified strategies and policies are needed to maintain promising progress in stroke and to reduce the escalating burden of ischemic heart disease. The CVD burden attributable to risk factors has not yet made adequate achievements; even worse, high BMI has contributed to the increasing CVD burden.
Humans ; Cardiovascular Diseases/epidemiology* ; Global Burden of Disease ; Quality-Adjusted Life Years ; Risk Factors ; Myocardial Ischemia/epidemiology* ; Stroke/epidemiology*

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

Protection against severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) infection of inactivated vaccines is not well characterized in people with comorbidities, who are at high risk of severe infection. We compared the risk of SARS-CoV-2 infection after complete vaccination with Sinopharm/BBIBP in people with comorbidities (e.g., autoimmune diseases, cardiovascular disease, chronic lung disease, and diabetes) with healthy individuals using a Cox-proportional hazard model. In July-September 2021, a total of 10 548 people (comorbidities, 2143; healthy, 8405) receiving the complete primary series of vaccination with Sinopharm/BBIBP in Bangkok, Thailand were prospectively followed for SARS-CoV-2 infection through text messaging and telephone interviewing for 6 months. A total of 295 infections from 284 participants were found. HRs (95% CI) of individuals with any comorbidities did not increase (unadjusted, 1.02 (0.77-1.36), P = 0.89; adjusted, 1.04 (0.78-1.38), P = 0.81). HRs significantly increased in the subgroup of autoimmune diseases (unadjusted, 2.64 (1.09-6.38), P = 0.032; adjusted, 4.45 (1.83-10.83), P = 0.001) but not in cardiovascular disease, chronic lung disease, or diabetes. The protection against SARS-CoV-2 infection of the Sinopharm vaccine was similar in participants with any comorbidities vs. healthy individuals. However, the protection appeared lower in the subgroup of autoimmune diseases, which may reflect suboptimal immune responses among these people.
Humans ; COVID-19/prevention & control* ; Vaccines, Inactivated ; COVID-19 Vaccines ; SARS-CoV-2 ; Cardiovascular Diseases ; Prospective Studies ; Thailand ; Autoimmune Diseases ; Diabetes Mellitus/epidemiology*

Humans ; Female ; Cardiovascular Diseases/epidemiology* ; Forecasting

BACKGROUND: Sex- and age-specific impacts of cardiovascular risk factors on the development of dementia have not been well evaluated. We investigated these impacts of smoking, overweight/obesity, hypertension, and diabetes mellitus on the risk of disabling dementia. METHODS: The study participants were 25,029 (10,134 men and 14,895 women) Japanese aged 40-74 years without disabling dementia at baseline (2008-2013). They were assessed on smoking status (non-current or current), overweight/obesity (body mass index ≥25 kg/m² and ≥30 kg/m², respectively), hypertension (systolic blood pressure ≥140 mmHg, diastolic blood pressure ≥90 mmHg or any antihypertensive medication use), and diabetes mellitus (a fasting serum glucose ≥126 mg/dL, non-fasting glucose ≥200 mg/dL, hemoglobin A1c ≥6.5% by the National Glycohemoglobin Standardization Program or glucose-lowering medication use) at baseline. Disabling dementia was identified as the level of care required ≥1 and cognitive disability grade ≥IIa according to the National Long-term Care Insurance Database. We used a Cox proportional regression model to estimate hazard ratios and 95% confidence intervals (95% CIs) of disabling dementia according to the cardiovascular risk factors and calculated the population attributable fractions (PAFs). RESULTS: During a median follow-up of 9.1 years, 1,322 (606 men and 716 women) developed disabling dementia. Current smoking and hypertension were associated with a higher risk of disabling dementia in both sexes, whereas overweight or obesity was not associated with the risk in either sex. Diabetes mellitus was associated with a higher risk only in women (p for sex interaction = 0.04). The significant PAFs were 13% for smoking and 14% for hypertension in men and 3% for smoking, 12% for hypertension, and 5% for diabetes mellitus in women. The total PAFs of the significant risk factors were 28% in men and 20% in women. When stratified by age, hypertension in midlife (40-64 years) was associated with the increased risk in men, while diabetes mellitus in later-life (65-74 years) was so in women. CONCLUSIONS A substantial burden of disabling dementia was attributable to smoking, and hypertension in both sexes and diabetes mellitus in women, which may require the management of these cardiovascular risk factors to prevent dementia.
Male ; Humans ; Female ; Adult ; Middle Aged ; Overweight/complications* ; East Asian People ; Cardiovascular Diseases/epidemiology* ; Hypertension/etiology* ; Diabetes Mellitus/etiology* ; Obesity/etiology* ; Smoking/epidemiology* ; Risk Factors ; Age Factors ; Dementia/etiology*

BACKGROUND: Previous cardiovascular risk prediction models in Japan have utilized prospective cohort studies with concise data. As the health information including health check-up records and administrative claims becomes digitalized and publicly available, application of large datasets based on such real-world data can achieve prediction accuracy and support social implementation of cardiovascular disease risk prediction models in preventive and clinical practice. In this study, classical regression and machine learning methods were explored to develop ischemic heart disease (IHD) and stroke prognostic models using real-world data. METHODS: IQVIA Japan Claims Database was searched to include 691,160 individuals (predominantly corporate employees and their families working in secondary and tertiary industries) with at least one annual health check-up record during the identification period (April 2013-December 2018). The primary outcome of the study was the first recorded IHD or stroke event. Predictors were annual health check-up records at the index year-month, comprising demographic characteristics, laboratory tests, and questionnaire features. Four prediction models (Cox, Elnet-Cox, XGBoost, and Ensemble) were assessed in the present study to develop a cardiovascular disease risk prediction model for Japan. RESULTS: The analysis cohort consisted of 572,971 invididuals. All prediction models showed similarly good performance. The Harrell's C-index was close to 0.9 for all IHD models, and above 0.7 for stroke models. In IHD models, age, sex, high-density lipoprotein, low-density lipoprotein, cholesterol, and systolic blood pressure had higher importance, while in stroke models systolic blood pressure and age had higher importance. CONCLUSION Our study analyzed classical regression and machine learning algorithms to develop cardiovascular disease risk prediction models for IHD and stroke in Japan that can be applied to practical use in a large population with predictive accuracy.
Humans ; Cardiovascular Diseases/epidemiology* ; Prognosis ; Prospective Studies ; Japan/epidemiology* ; Stroke/etiology* ; Myocardial Ischemia/epidemiology* ; Risk Assessment/methods*

OBJECTIVE: The main aim of this study is to investigate whether acupuncture could be an effective complementary treatment for reducing the risk of macrovascular complications in diabetic patients currently taking antidiabetic medications using a nationwide population-based database. METHODS: We conducted a retrospective cohort study to assess the efficacy of acupuncture on cardiovascular complications in diabetic patients using data from patients between 40 and 79 years of age, newly diagnosed with diabetes between 2003 and 2006, found in the National Health Insurance Service-National Sample Cohort (NHIS-NSC) in Korea. From the data, we identified 21,232 diabetic patients who were taking antidiabetic medication between 2003 and 2006. The selected patients were divided into two groups-those who received acupuncture at least three times and those who received no acupuncture (non-acupuncture) in the year following their diagnosis of diabetes. After 1:1 propensity score matching (PSM), each group had 3350 patients, and the observation ceased at the occurrence of a major adverse cardiovascular event (MACE), which was defined as either myocardial infarction, stroke, or death due to cardiovascular cause. RESULTS: After PSM, the acupuncture group had a lower incidence of MACE (hazard ratio [HR]: 0.87; 95% confidence interval [CI]: 0.81-0.94; P = 0.0003) and all-cause mortality (HR: 0.77; 95% CI: 0.70-0.84; P < 0.0001) than the non-acupuncture group; the HRs for stroke-related mortality (HR: 0.75; 95% CI: 0.56-1.00; P = 0.0485), ischemic heart disease mortality (HR: 0.53; 95% CI: 0.34-0.84; P = 0.006) and circulatory system disease mortality (HR: 0.67; 95% CI: 0.55-0.82; P < 0.0001) were lower in the acupuncture group than in the non-acupuncture group in the secondary analysis. CONCLUSION Our results indicate that diabetic patients receiving acupuncture treatment might have a lower risk of MACE, all-cause mortality and cardiovascular mortality. This population-based retrospective study suggests beneficial effects of acupuncture in preventing macrovascular complications associated with diabetes. These findings call for further prospective cohort or experimental studies on acupuncture treatment for cardiovascular complications of diabetes. Please cite this article as: Jung H, Won T, Kim GY, Jang J, Yeo S, Lim S. Efficacy of acupuncture on cardiovascular complications in patients with diabetes mellitus in Korea: A nationwide retrospective cohort. J Integr Med. 2023; 21(2): 176-183.
Humans ; Retrospective Studies ; Cardiovascular Diseases/etiology* ; Diabetes Mellitus, Type 2/drug therapy* ; Hypoglycemic Agents/therapeutic use* ; Stroke/complications* ; Acupuncture Therapy ; Republic of Korea/epidemiology*

INTRODUCTION: An echocardiographic calcium score (ECS) predicts cardiovascular disease (CVD) in the general population. Its utility in peritoneal dialysis (PD) patients is unknown. METHODS: This cross-sectional study assessed 125 patients on PD. The ECS (range 0-8) was compared between subjects with CVD and those without. RESULTS: Among the subjects, 54 had CVD and 71 did not. Subjects with CVD were older (69 years vs. 56 years, P < 0.001) and had a higher prevalence of diabetes mellitus (DM) (81.5% vs. 45.1%, P < 0.001). They had lower diastolic blood pressure (72 mmHg vs. 81 mmHg, P < 0.001), lower phosphate (1.6 mmol/L vs. 1.9 mmol/L, P = 0.002), albumin (30 g/L vs. 32 g/L, P = 0.001), parathyroid hormone (34.4 pmol/L vs. 55.8 pmol/L, P = 0.002), total cholesterol (4.5 vs. 4.9, P = 0.047), LDL cholesterol (2.4 mmol/L vs. 2.8 mmol/L, P = 0.019) and HDL cholesterol (0.8 mmol/L vs. 1.1 mmol/L, P = 0.002). The ECS was found to be higher in subjects with CVD than in those without (2 vs. 1, P = 0.001). On multivariate analysis, only DM and age were independently associated with CVD. CONCLUSION The ECS was significantly higher in PD patients with CVD than in those without, reflecting a higher vascular calcification burden in the former. It is a potentially useful tool to quantify vascular calcification in PD patients.
Humans ; Cardiovascular Diseases/diagnostic imaging* ; Cross-Sectional Studies ; Calcium ; Peritoneal Dialysis/adverse effects* ; Vascular Calcification/epidemiology* ; Echocardiography

OBJECTIVE: To explore joint association of depression symptoms and 10-year risk of ischemic cardiovascular disease (CVD) in middle-aged and elderly people in China. METHODS: Based on China Health and Retirement Longitudinal Study(CHARLS)database using 2011 baseline data and the follow-up cohort data of 2013, 2015 and 2018, describe the distribution characteristics of baseline depressive symptoms and 10-year risk of ischemic cardiovascular disease in 2011. Cox survival analysis model was used to analyze the individual, independent and joint association of depression symptoms and 10-year risk of ischemic cardiovascular disease with cardiovascular disease. RESULTS: A total of 9 412 subjects were enrolled. The detection rate of depressive symptoms at baseline was 44.7%, and the 10-year middle and high risk of ischemic cardiovascular disease was 13.62%. During an average follow-up of 6.19 (6.19±1.66) years, 1 401 cases of cardiovascular disease were diagnosed in 58 258 person-years, revealing an overall incidence density of 24.048/1 000 person-years. After adjusting the factors, in terms of individual impact, the participants with depressive symptoms had a higher risk of developing CVD (HR=1.263, 95%CI: 1.133-1.408), while medium to high risk of ischemic cardiovascular disease had a higher risk of developing CVD (HR=1.892, 95%CI: 1.662-2.154). Among independent influences, participants with depressive symptoms had a higher risk of developing CVD (HR=1.269, 95% CI: 1.138-1.415), while medium to high risk of 10-year risk of ischemic cardiovascular disease had a higher risk of developing CVD (HR=1.898, 95%CI: 1.668-2.160). Joint impact result showed the incidence of cardiovascular disease in the low risk of 10-year risk of ischemic cardiovascular disease with depressive symptoms group, middle and high risk of 10-year risk of ischemic cardiovascular disease without depressive symptoms group, and 10-year middle and high risk of ischemic cardiovascular disease with depressive symptoms group were 1.390, 2.149, and 2.339 times higher than that of low risk of 10-year risk of ischemic cardiovascular disease without depressive symptoms (P < 0.001). CONCLUSION The superimposed depression symptoms of the middle and high-risk population at the 10-year risk of ischemic cardiovascular disease will aggravate the risk of cardiovascular disease in middle-aged and elderly people. In combination with the actual lifestyle intervention and physical index health management, attention should be paid to mental health intervention.
Aged ; Middle Aged ; Humans ; Cardiovascular Diseases/epidemiology* ; Longitudinal Studies ; Depression/epidemiology* ; Risk Factors ; China/epidemiology*

OBJECTIVE: To develop and validate a three-year risk prediction model for new-onset cardiovascular diseases (CVD) among female patients with breast cancer. METHODS: Based on the data from Inner Mongolia Regional Healthcare Information Platform, female breast cancer patients over 18 years old who had received anti-tumor treatments were included. The candidate predictors were selected by Lasso regression after being included according to the results of the multivariate Fine & Gray model. Cox proportional hazard model, Logistic regression model, Fine & Gray model, random forest model, and XGBoost model were trained on the training set, and the model performance was evaluated on the testing set. The discrimination was evaluated by the area under the curve (AUC) of the receiver operator characteristic curve (ROC), and the calibration was evaluated by the calibration curve. RESULTS: A total of 19 325 breast cancer patients were identified, with an average age of (52.76±10.44) years. The median follow-up was 1.18 [interquartile range (IQR): 2.71] years. In the study, 7 856 patients (40.65%) developed CVD within 3 years after the diagnosis of breast cancer. The final selected variables included age at diagnosis of breast cancer, gross domestic product (GDP) of residence, tumor stage, history of hypertension, ischemic heart disease, and cerebrovascular disease, type of surgery, type of chemotherapy and radiotherapy. In terms of model discrimination, when not considering survival time, the AUC of the XGBoost model was significantly higher than that of the random forest model [0.660 (95%CI: 0.644-0.675) vs. 0.608 (95%CI: 0.591-0.624), P < 0.001] and Logistic regression model [0.609 (95%CI: 0.593-0.625), P < 0.001]. The Logistic regression model and the XGBoost model showed better calibration. When considering survival time, Cox proportional hazard model and Fine & Gray model showed no significant difference for AUC [0.600 (95%CI: 0.584-0.616) vs. 0.615 (95%CI: 0.599-0.631), P=0.188], but Fine & Gray model showed better calibration. CONCLUSION It is feasible to develop a risk prediction model for new-onset CVD of breast cancer based on regional medical data in China. When not considering survival time, the XGBoost model and the Logistic regression model both showed better performance; Fine & Gray model showed better performance in consideration of survival time.
Humans ; Female ; Adult ; Middle Aged ; Adolescent ; Breast Neoplasms/epidemiology* ; Cardiovascular Diseases/etiology* ; Proportional Hazards Models ; Logistic Models ; China/epidemiology*