In 2021, it was estimated that the Pacific island country Nauru had the highest death rate from cardiovascular disease in the world, with around 694 deaths per 100,000 population. In 2021, ischemic heart disease was the leading cause of death worldwide, resulting in over nine million deaths.

In 2023, the states with the highest death rates due to heart disease were Oklahoma, Mississippi, and Alabama. That year, there were around 251 deaths due to heart disease per 100,000 population in the state of Oklahoma. In comparison, the overall death rate from heart disease in the United States was 162 per 100,000 population. The leading cause of death in the United States Heart disease is the leading cause of death in the United States, accounting for 22 percent of all deaths in 2023. That year, cancer was the second leading cause of death, followed by unintentional injuries and cerebrovascular diseases. In the United States, a person has a one in six chance of dying from heart disease. Death rates for heart disease are higher among men than women, but both have seen steady decreases in heart disease death rates since the 1950s. What are risk factors for heart disease? Although heart disease is the leading cause of death in the United States, the risk of heart disease can be decreased by avoiding known risk factors. Some of the leading preventable risk factors for heart disease include smoking, heavy alcohol use, physical inactivity, an unhealthy diet, and being overweight or obese. It is no surprise that the states with the highest rates of death from heart disease are also the states with the highest rates of heart disease risk factors. For example, Oklahoma, the state with the highest heart disease death rate, is also the state with the sixth-highest rate of obesity. Furthermore, Mississippi is the state with the highest levels of physical inactivity, and it has the second-highest heart disease death rate in the United States.

As of 2023, the countries with the highest death rates worldwide were Monaco, Bulgaria, and Latvia. In these countries, there were ** to ** deaths per 1,000 people. The country with the lowest death rate is Qatar, where there is just *** death per 1,000 people. Leading causes of death The leading causes of death worldwide are, by far, cardiovascular diseases, accounting for ** percent of all deaths in 2021. That year, there were **** million deaths worldwide from ischaemic heart disease and **** million from stroke. Interestingly, a worldwide survey from that year found that people greatly underestimate the proportion of deaths caused by cardiovascular disease, but overestimate the proportion of deaths caused by suicide, interpersonal violence, and substance use disorders. Death in the United States In 2023, there were around **** million deaths in the United States. The leading causes of death in the United States are currently heart disease and cancer, accounting for a combined ** percent of all deaths in 2023. Lung and bronchus cancer is the deadliest form of cancer worldwide, as well as in the United States. In the U.S. this form of cancer is predicted to cause around ****** deaths among men alone in the year 2025. Prostate cancer is the second-deadliest cancer for men in the U.S. while breast cancer is the second deadliest for women. In 2023, the tenth leading cause of death in the United States was COVID-19. Deaths due to COVID-19 resulted in a significant rise in the total number of deaths in the U.S. in 2020 and 2021 compared to 2019, and it was the third leading cause of death in the U.S. during those years.

Heart Disease Deaths in Oklahoma

Current Trends and Target Rates

By Oklahoma [source]

About this dataset

This dataset contains an overview of historical heart disease death rates in Oklahoma from 2000 to 2018. The dataset consists of yearly figures and target figures for the numbers of deaths due to heart diseases, allowing a comparison between the expected rate and the actual rate over time. This data is important as it can be used to analyze trends in heart disease death rates, helping inform public health initiatives and policy decisions

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How to use the dataset

This dataset includes the number of death due to heart disease in Oklahoma. It provides a single, comprehensive data set that captures detailed information on the historical prevalence of heart disease death rates in the state. This dataset can be used for various research or analytical purposes such as epidemiological studies or health services planning.

To use this dataset, one must first understand that it contains three main pieces: the year of reported deaths, the actual number of deaths related to heart disease during each year and a target total for expected deaths from heart disease per year, which are used as reference points when analyzing other years. The years column includes all relevant dates while historical data column provides more specifics such as exact numbers and percentages related to those who perished due to heart-related conditions.

By utilizing this data set users can easily find out how many persons died due to cardiac-related diseases along with what risks were most prevalent at certain times over that period by comparing provided figures with reference targets at any given time slice in question (time point). Additionally, one can observe trends carefully within different groups such as males versus females or rural versus urban locations thus allowing them more robust insight into factors associated with mortality from cardiac conditions across different demographics

Research Ideas

• Identifying which geographic areas in Oklahoma are at highest risk for heart disease and creating targeted public health initiatives to reduce its incidence.
• Determining correlations between changes in vital health indicators (e.g., increase of physical activity) with changes in heart disease death rates to better inform policy and research direction.
• Analyzing overall mortality rates compared to other counties or states with comparable demographics to assess the effectiveness of existing public health interventions over time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

Unknown License - Please check the dataset description for more information.

Columns

File: res_heart_disease_deaths_kdjx-hayj.csv | Column name | Description | |:--------------------|:-----------------------------------------------------------------------------------------------------------------------------------------| | Years | The year associated with the data. (Integer) | | Historical Data | The number of deaths due to heart disease in Oklahoma in that particular year from 2000-2018. (Integer) | | Target | A value generated based on Historical Data indicating what should be targeted as a baseline performance measure going forward. (Integer) |

File: res_heart_disease_deaths_-_column_chart_3a28-gndr.csv | Column name | Description | |:--------------------|:-----------------------------------------------------------------------------------------------------------------------------------------| | Years | The year associated with the data. (Integer) | | Historical Data | The number of deaths due to heart disease in Oklahoma in that particular year from 2000-2018. (Integer) | | Target | A value generated based on Historical Data indicating what should be targeted as a baseline performance measure going forward. (Integer) |

Acknowledgements

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This statistic shows the top 20 counties in the United States based on heart disease death rate among the *** population in the period 2014-2016. The heart disease death rate of the *** population in Franklin county in the state of Louisiana was the highest, with ******* deaths from heart disease per every 100,000 of that age group.

The leading causes of death in Massachusetts are cancer, heart disease, unintentional injury, stroke, and chronic lower respiratory disease. These mortality rates tend to be higher for people of color; and Black residents have a higher premature mortality rate overall and Asian residents have a higher rate of mortality due to stroke.

this graph was created in Tableu and Ourdataworld :

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Understanding the Global Distribution of HIV/AIDS Deaths

Introduction:

HIV/AIDS remains one of the most significant public health challenges globally, with its impact varying widely across countries and regions. While the overall share of deaths attributed to HIV/AIDS stands at around 1.5% globally, this statistic belies the stark disparities observed on a country-by-country basis. This essay delves into the global distribution of deaths from HIV/AIDS, examining both the overarching trends and the localized impacts across different regions, particularly focusing on Southern Sub-Saharan Africa.

Understanding Global Trends:

At a global level, HIV/AIDS accounts for approximately 1.5% of all deaths. This figure, though relatively low in comparison to other causes of mortality, represents a significant burden on public health systems and communities worldwide. However, when zooming in on specific regions, such as Europe, the share of deaths attributable to HIV/AIDS drops significantly, often comprising less than 0.1% of total mortality. This pattern suggests varying levels of prevalence and effectiveness of HIV/AIDS prevention and treatment strategies across different parts of the world.

Regional Disparities:

The distribution of HIV/AIDS deaths is not uniform across the globe, with certain regions experiencing disproportionately high burdens. Southern Sub-Saharan Africa emerges as a focal point of the HIV/AIDS epidemic, with a significant portion of deaths attributed to the virus occurring in this region. Factors such as limited access to healthcare, socio-economic disparities, cultural stigmatization, and insufficient education about HIV/AIDS contribute to the heightened prevalence and impact of the disease in this area.

Southern Sub-Saharan Africa: A Hotspot for HIV/AIDS Deaths:

Within Southern Sub-Saharan Africa, countries such as South Africa, Botswana, and Swaziland stand out for their exceptionally high rates of HIV/AIDS-related mortality. In these nations, HIV/AIDS can account for up to a quarter of all deaths, highlighting the acute nature of the epidemic in these regions. The reasons behind this disproportionate burden are multifaceted, encompassing issues ranging from inadequate healthcare infrastructure to socio-cultural barriers inhibiting prevention and treatment efforts.

Challenges and Responses:

Addressing the unequal distribution of HIV/AIDS deaths necessitates a multi-faceted approach that encompasses both prevention and treatment strategies tailored to the specific needs of affected communities. Efforts to expand access to antiretroviral therapy (ART), promote comprehensive sexual education, combat stigma, and strengthen healthcare systems are crucial components of an effective response. Moreover, fostering partnerships between governments, civil society organizations, and international entities is essential for coordinating resources and expertise to tackle the HIV/AIDS epidemic comprehensively.

Lessons Learned and Future Directions:

The global distribution of deaths from HIV/AIDS underscores the importance of context-specific interventions that take into account the unique social, economic, and cultural factors influencing the spread and impact of the disease. While progress has been made in reducing HIV/AIDS-related mortality in some regions, much work remains to be done, particularly in areas where the burden of the epidemic remains disproportionately high. Going forward, sustained investment in research, healthcare infrastructure, and community empowerment initiatives will be vital for achieving meaningful reductions in HIV/AIDS deaths worldwide.

Conclusion:

In conclusion, the global distribution of deaths from HIV/AIDS reveals a complex landscape characterized by both overarching trends and localized disparities. While the overall share of deaths attributable to HIV/AIDS may seem relatively modest on a global scale, the stark contrasts observed across different countries and regions underscore the need for targeted interventions tailored to the specific contexts in which the epidemic is most pronounced. By addressing the underlying social, economic, and healthcare-related factors driving the unequal distribution of HIV/AIDS deaths, the global co...

Death rate has been age-adjusted to the 2000 U.S. standard population. Single-year data are only available for Los Angeles County overall, Service Planning Areas, Supervisorial Districts, City of Los Angeles overall, and City of Los Angeles Council Districts.Coronary heart disease is a type of heart disease in which the arteries of the heart cannot deliver enough oxygen-rich blood to the heart muscles. Over time, this can weaken the heart muscle and may lead to heart attack or heart failure. It is the most common type of heart disease in the US and has been the leading cause of death in Los Angeles County for the last two decades. Poor diet, sedentary lifestyle, tobacco exposure, and chronic stress are all important risk factors for coronary heart disease. Cities and communities can mitigate these risks by improving local food environments and encouraging physical activity by making communities safer and more walkable.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

ABSTRACT Objectives: to analyze premature mortality and Potential Years of Life Lost by noncommunicable diseases in a city in the countryside of São Paulo from 2010 to 2014. Methods: ecological study of temporal tendency, using secondary source. For analysis, the premature mortality coefficient and the Potential Years of Life Lost indicator were used. Results: males had the highest premature mortality rate due to cardiovascular disease, with 213.04 deaths per 100 thousand inhabitants, followed by neoplasms, with 188.44. In women, there was an inversion with 134.22 deaths from cancer and 110.71 deaths from cardiovascular disease. Regarding Potential Years of Life Lost, males had an average of 12.19 years lost by death and females of 13.45 years lost. Conclusions: the results reinforce the need to increase public health prevention and promotion policies to reduce premature deaths, especially among men.

ObjectivesThe aim of this study is to describe, visualize, and compare the trends and epidemiological features of the mortality rates of 10 notifiable respiratory infectious diseases in China from 2004 to 2020.SettingData were obtained from the database of the National Infectious Disease Surveillance System (NIDSS) and reports released by the National and local Health Commissions from 2004 to 2020. Spearman correlations and Joinpoint regression models were used to quantify the temporal trends of RIDs by calculating annual percentage changes (APCs) in the rates of mortality.ResultsThe overall mortality rate of RIDs was stable across China from 2004 to 2020 (R = −0.38, P = 0.13), with an APC per year of −2.2% (95% CI: −4.6 to 0.3; P = 0.1000). However, the overall mortality rate of 10 RIDs in 2020 decreased by 31.80% (P = 0.006) compared to the previous 5 years before the COVID-19 pandemic. The highest mortality occurred in northwestern, western, and northern China. Tuberculosis was the leading cause of RID mortality, and mortality from tuberculosis was relatively stable throughout the 17 years (R = −0.36, P = 0.16), with an APC of −1.9% (95% CI −4.1 to 0.4, P = 0.1000). Seasonal influenza was the only disease for which mortality significantly increased (R = 0.73, P = 0.00089), with an APC of 29.70% (95% CI 16.60–44.40%; P = 0.0000). The highest yearly case fatality ratios (CFR) belong to avian influenza A H5N1 [687.5 per 1,000 (33/48)] and epidemic cerebrospinal meningitis [90.5748 per 1,000 (1,010/11,151)]. The age-specific CFR of 10 RIDs was highest among people over 85 years old [13.6551 per 1,000 (2,353/172,316)] and was lowest among children younger than 10 years, particularly in 5-year-old children [0.0552 per 1,000 (58/1,051,178)].ConclusionsThe mortality rates of 10 RIDs were relatively stable from 2004 to 2020 with significant differences among Chinese provinces and age groups. There was an increased mortality trend for seasonal influenza and concerted efforts are needed to reduce the mortality rate of seasonal influenza in the future.

BackgroundPrevious studies have demonstrated that patients with a cancer diagnosis have an elevated risk of suicide and cardiovascular death. However, the effects of the diagnosis of multiple primary cancers (MPCs) on the risk of suicide and cardiovascular death remain unclear. This study aimed to identify the risk of suicide and cardiovascular death among patients with MPCs in the United States.MethodsPatients with a single or MPC(s) between 1975 and 2016 were selected from the Surveillance, Epidemiology, and End Results database in a retrospective cohort study. Mortality rates and standardized mortality ratios (SMRs) of suicides and cardiovascular diseases among patients with MPCs were estimated.ResultsOf the 645,818 patients diagnosed with MPCs included in this analysis, 760 and 36,209 deaths from suicides and cardiovascular diseases were observed, respectively. The suicide and cardiovascular-disease mortality rates were 1.89- (95% CI, 1.76–2.02) and 1.65-times (95% CI, 1.63–1.67), respectively, that of the general population. The cumulative mortality rate from both suicides and cardiovascular diseases among patients with MPCs were significantly higher than those of patients with a single primary cancer (Both p < 0.001). In patients with MPCs diagnosed asynchronously, the cumulative incidence rates of suicides and cardiovascular deaths were higher than those diagnosed synchronously. Among all MPCs, cancers of the pancreas and esophagus had the highest SMRs of suicide (5.98 and 5.67, respectively), while acute myeloid leukemia and brain cancer had the highest SMRs of cardiovascular diseases (3.87 and 3.62, respectively). The SMR of suicide was highest within 1 year after diagnosis, while that of cardiovascular diseases was highest 5 years after diagnosis.ConclusionsThis study showed that the mortality rates from suicides and cardiovascular diseases among patients with MPCs were higher than those with a single primary cancer. Therefore, our results underscore the need for psychological assessment and targeted preventive interventions for suicides and cardiovascular diseases among patients with MPCs.

This dataset contains information on the number of deaths and age-adjusted death rates for the five leading causes of death in 1900, 1950, and 2000. Age-adjusted death rates (deaths per 100,000) after 1998 are calculated based on the 2000 U.S. standard population. Populations used for computing death rates for 2011–2017 are postcensal estimates based on the 2010 census, estimated as of July 1, 2010. Rates for census years are based on populations enumerated in the corresponding censuses. Rates for noncensus years between 2000 and 2010 are revised using updated intercensal population estimates and may differ from rates previously published. Data on age-adjusted death rates prior to 1999 are taken from historical data (see References below). SOURCES CDC/NCHS, National Vital Statistics System, historical data, 1900-1998 (see https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm); CDC/NCHS, National Vital Statistics System, mortality data (see http://www.cdc.gov/nchs/deaths.htm); and CDC WONDER (see http://wonder.cdc.gov). REFERENCES National Center for Health Statistics, Data Warehouse. Comparability of cause-of-death between ICD revisions. 2008. Available from: http://www.cdc.gov/nchs/nvss/mortality/comparability_icd.htm. National Center for Health Statistics. Vital statistics data available. Mortality multiple cause files. Hyattsville, MD: National Center for Health Statistics. Available from: https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm. Kochanek KD, Murphy SL, Xu JQ, Arias E. Deaths: Final data for 2017. National Vital Statistics Reports; vol 68 no 9. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_09-508.pdf. Arias E, Xu JQ. United States life tables, 2017. National Vital Statistics Reports; vol 68 no 7. Hyattsville, MD: National Center for Health Statistics. 2019. Available from: https://www.cdc.gov/nchs/data/nvsr/nvsr68/nvsr68_07-508.pdf. National Center for Health Statistics. Historical Data, 1900-1998. 2009. Available from: https://www.cdc.gov/nchs/nvss/mortality_historical_data.htm.

Rank, number of deaths, percentage of deaths, and age-specific mortality rates for the leading causes of death, by age group and sex, 2000 to most recent year.

Supplementary information files for article: 'Association between physical activity and sub-types of cardiovascular disease death causes in a general population cohort'.Abstract:Physical activity is thought to be cardioprotective, but associations with different subtypes of cardiovascular disease (CVD) are poorly understood. We examined associations between physical activity and seven major CVD death causes. The sample comprised 65,093 adults (aged 58 ± 12 years, 45.4% men) followed up over mean [SD] 9.4 ± 4.5 years, recruited from The Health Survey for England and the Scottish Health Surveys. A CVD diagnosis was reported in 9.2% of the sample at baseline. Physical activity was self-reported. Outcomes were subtypes of CVD death; acute myocardial infarction; chronic ischaemic heart disease; pulmonary heart disease; a composite of cardiac arrest, arrhythmias, and sudden cardiac death; heart failure; cerebrovascular; composite of aortic aneurysm and other peripheral vascular diseases. There were 3050 CVD deaths (30.8% of all deaths). In Cox proportional hazards models adjusted for confounders, physical activity was associated with reduced relative risk of all CVD outcomes; compared with the lowest, the highest physical activity quintile was associated with reduced risk of acute myocardial infarction (Hazard ratio 0.66: 95% CI 0.50, 0.89), chronic ischaemic heart disease (0.49: 0.38, 0.64), pulmonary heart disease (0.48: 0.22, 1.07), arrhythmias (0.18: 0.04, 0.76); heart failure (0.35: 0.20, 0.63), cerebrovascular events (0.53: 0.38, 0.75); aneurysm and peripheral vascular diseases (0.54: 0.34, 0.93). Results were largely consistent across participants with and without existing CVD at baseline. Physical activity was associated with reduced risk of seven major CVD death causes. Protective benefits were apparent even at levels of activity below the current recommendations.

Background: Cardiovascular disease is the leading cause of death worldwide and a major barrier to sustainable human development. The objective of this study was to evaluate the global, sex, age, region, and country-related cardiovascular disease (CVD) burden, as well as the trends, risk factors, and implications for the prevention of CVD.Methods: Detailed information from 1990 to 2017, including global, regional, and national rates of CVD, and 11 categories of mortality and disability-adjusted life years (DALYs) were collected from the Global Burden of Disease Study 2017. The time-dependent change in the trends of CVD burdens was evaluated by annual percentage change.Results: More than 17 million people died from CVD in 2017, which was approximately two times as many as cancer, and increased nearly 50% compared with 1990. Ischemic heart disease and stroke accounted for 85% of the total age-standardized death rate (ASDR) of CVD. The ASDR and age-standardized DALYs rate (ASYR) of CVD were 1.5 times greater in men compared with women. People over the age of 50 were especially at risk for developing CVD, with the number of cases and deaths in this age group accounting for more than 90% of all age groups. CVD mortality was related to regional economic development and the social demographic index. In regions with a high economic income or socio-demographic index, there was a greater decline in the ASDR of CVD. The ASDR of CVD in high SDI regions decreased more than 50% from 1990 to 2017. Tobacco use, diets low in whole grains, diets high in sodium, and high systolic blood pressure were the important risk factors related to CVD mortality.Conclusions: CVD remains a major cause of death and chronic disability in all regions of the world. Ischemic heart disease and stroke account for the majority of deaths related to CVD. Although the mortality rate for CVD has declined in recent years from a global perspective, the results of CVD data in 2017 suggest that the mortality and DALYs of CVD varied in different ages, sexes, and countries/regions around the world. Therefore, it is necessary to elucidate the specific characteristics of global CVD burden and establish more effective and targeted prevention strategies.

PurposeCardiovascular disease (CVD) is the leading cause of death in the United States, and sepsis significantly contributes to hospitalization and mortality. This study aims to assess the trends of sepsis-associated CVD mortality rates and variations in mortality based on demographics and regions in the US.MethodsThe Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER) database was used to identify CVD and sepsis-related deaths from 1999 to 2022. Data on gender, race and ethnicity, age groups, region, and state classification were statistically analyzed to obtain crude and age-adjusted mortality rates (AAMR). The Joinpoint Regression Program was used to determine trends in mortality within the study period.ResultsDuring the study period, there were a total of 1,842,641 deaths with both CVD and sepsis listed as a cause of death. Sepsis-associated CVD mortality decreased between 1999 and 2013, from AAMR of 65.7 in 1999 to 58.8 in 2013 (APC −1.06*%, 95% CI: −2.12% to −0.26%), then rose to 74.3 in 2022 (APC 3.23*%, 95% CI: 2.18%–5.40%). Throughout the study period, mortality rates were highest in men, NH Black adults, and elderly adults (65+ years old). The Northeast region, which had the highest mortality rate in the initial part of the study period, was the only region to see a decline in mortality, while the Northwest, Midwest, and Southern regions experienced significant increases in mortality rates.ConclusionSepsis-associated CVD mortality has increased in the US over the past decade, and both this general trend and the demographic disparities have worsened since the onset of the COVID-19 pandemic.

Additional file 2: Table S3. All age deaths and DALYs in 1990 and 2017 and percent change of deaths and age-standardized death rates, DALYs, and age-standardized DALY attributable to high blood pressure, for cardiovascular diseases (total) and for each level 2 cardiovascular disease for both sexes (A), men (B), and women (C), in Brazil.

BackgroundAccording to one USA Renal Data System report, 57% of end-stage renal disease (ESRD) cases are attributed to hypertensive and diabetic nephropathy. Yet, trends in hypertension related ESRD mortality rates in adults ≥ 35 years of age have not been studied.ObjectivesThe aim of this retrospective study was to analyze the different trends hypertension related ESRD death rates among adults in the United States.MethodsDeath records from the CDC (Centers for Disease Control and Prevention Wide-Ranging OnLine Data for Epidemiologic Research) database were analyzed from 1999 to 2020 for hypertension related ESRD mortality in adults ≥ 35 years of age. Age-Adjusted mortality rates (AAMRs) per 100,000 persons and annual percent change (APC) were calculated and stratified by year, sex, race/ethnicity, place of death, and geographic location.ResultsHypertension-related ESRD caused a total of 721,511 deaths among adults (aged ≥ 35 years) between 1999 and 2020. The overall AAMR for hypertension related ESRD deaths in adults was 9.70 in 1999 and increased all the way up to 43.7 in 2020 (APC: 9.02; 95% CI: 8.19-11.04). Men had consistently higher AAMRs than woman during the analyzed years from 1999 (AAMR men: 10.8 vs women: 9) to 2020 (AAMR men: 52.2 vs women: 37.2). Overall AAMRs were highest in Non-Hispanic (NH) Black or African American patients (45.7), followed by NH American Indian or Alaska Natives (24.7), Hispanic or Latinos (23.4), NH Asian or Pacific Islanders (19.3), and NH White patients (15.4). Region-wise analysis also showed significant variations in AAMRs (overall AAMR: West 21.2; South: 21; Midwest: 18.3; Northeast: 14.2). Metropolitan areas had slightly higher AAMRs (19.1) than nonmetropolitan areas (19). States with AAMRs in 90th percentile: District of Columbia, Oklahoma, Mississippi, Tennessee, Texas, and South Carolina, had roughly double rates compared to states in 10th percentile.ConclusionsOverall hypertension related ESRD AAMRs among adults were seen to increase in almost all stratified data. The groups associated with the highest death rates were NH Black or African Americans, men, and populations in the West and metropolitan areas of the United States. Strategies and policies targeting these at-risk groups are required to control the rising hypertension related ESRD mortality.

IntroductionCongenital heart disease (CHD) represents a significant global public health burden, with substantial variability in mortality rates across different regions and age groups.MethodsThis study utilized the Global Burden of Disease (GBD) database to examine trends in CHD-related mortality among children aged 0-14 from 1990 to 2021.ResultsWe report a 55.34% reduction in CHD-related deaths among children, with global mortality rates decreasing from 28.63 per 100,000 in 1990 to 11.06 per 100,000 in 2021. Notably, the decline in mortality was more pronounced in younger children, with the highest burden observed in the Low socio-demographic index (SDI) region, where CHD-related mortality rates remain disproportionately high. In contrast, the high SDI region experienced the greatest improvements in mortality reduction. Regional disparities are also evident, with South Asia bearing the highest number of CHD-related deaths, while Oceania exhibited the highest mortality rate.DiscussionThese trends underscore the need for continued global efforts to reduce CHD-related mortality, particularly in low-income regions, and to address the disparities in healthcare access and outcomes. Our findings highlight the ongoing challenges in pediatric cardiology and the need for targeted interventions to sustain improvements in CHD survival, especially for neonates and infants.

This dataset includes count and age-adjusted rate per 100,000 population of mortality (death) in Virginia for 9 chronic conditions by year and by demographic groups (i.e., age, race/ethnicity, and sex). Age group values include 0 to 17 years, 18 to 44 years, 45 to 54 years, 55 to 64 years, 65 to 74 years, and 75+ years. Race/ethnicity values include American Indian or Alaska Native, Asian or Pacific Islander, Black or African American, Hispanic or Latino, and White. Sex values include female and male. Data set includes mortality data from 2016 to the most current year for Virginia residents.

The 9 chronic conditions include: Alzheimer’s Disease, Cardiovascular disease, Chronic Kidney Disease, Chronic Obstructive Pulmonary Disease, Asthma, Diabetes, Stroke, Heart Disease, and Hypertension. The International Classification of Diseases, Tenth Revision (ICD-10) codes are used to identify chronic disease mortality indicators. Definitions are based on Underlying Cause of Death on the death certificate outlined in the “Underlying Cause-of-Death List for Tabulating Mortality Statistics” instruction manual developed by the National Center for Health Statistics at the Centers for Disease Control and Prevention (CDC) found here OCR Document (cdc.gov).