In 2022, the mortality rate of coronary heart disease in the United Kingdom was *** deaths per 100,000 population, which was one of the lowest rates in the provided time interval. The mortality rate in 2000 was *** per 100,000, meaning the mortality rate has decreased by over ** percent since then. Decline in CVD mortality Alongside the fall in mortality rate from coronary heart disease, deaths overall from cardiovascular diseases have fallen since the start of the century. In 2022, there were *** deaths per 100,000 from cardiovascular diseases in the UK, a decline of about ** percent since 2000. Furthermore, mortality from strokes has decreased by almost ** percent between 2000 and 2022. Incidence of CVD staying at similar levels The decline in the mortality of cardiovascular diseases shows the advances of modern medicine, as the incidence of these diseases has not varied much in the past few years. In 2022/23, around *** thousand people in the UK were diagnosed with coronary heart disease, a fall of ** thousand since 2012. However, *** thousand individuals were diagnosed with a stroke, an increase of over ** thousand when compared with 2012.

In 2023, around *** out of 100,000 Canadians died from major cardiovascular diseases. In 2000, the death rate stood at over *** deaths per 100,000. This statistic displays the age-standardized death rate for major cardiovascular diseases in Canada from 2000 to 2023. Cardiovascular health Cardiovascular health and disease has come to the forefront of healthcare in recent years, as the burden due to these diseases and related conditions has increased over time in an aging population. Public health strategies are focused on reducing the impact of cardiovascular conditions through education and interventions targeted at decreasing the modifiable risk factors for cardiovascular diseases- many of which involve lifestyle and diet elements. Medical interventions for cardiovascular disease can range from emergency interventions to surgical procedures to pharmacological treatments: in Canada, medications for the cardiovascular system held over *** percent of the sales share for patented drugs in 2021. Causes of death in Canada Worldwide, Canada ranks in the top twenty countries for life expectancy and is well above the OECD average, with the average life expectancy higher for Canadian women than for men. Much like in other developed countries, malignant neoplasms join cardiovascular diseases in the leading causes of death in Canada; other main causes of death in the country include accidents, cerebrovascular diseases, and chronic lower respiratory diseases. Over the past couple decades, the age-standardized death rate for all causes among Canada’s population has increased; in 2023, it reached nearly *** per 100,000 population.

The number of deaths caused by heart disease has decreased in the United States from ***** per 100,000 population in 1990 to ***** deaths per 100,000 population in 2019. Nevertheless, heart disease is still the leading cause of death in the country, followed closely by cancer, which has a mortality rate of ***** per 100,000 people. Heart disease in the U.S.Diseases of the heart and blood vessels are often associated with atherosclerosis, which occurs when plaque builds up along arterial walls. This can limit the flow of blood and can lead to blood clots, a common cause of stroke or heart attacks. Other types of heart disease include arrhythmia (abnormal heart rhythms) and heart valve problems. Many of these diseases can be treated with medication, although many complications will still remain. One of the leading cholesterol lowering drugs in the United States, Crestor, generated around **** billion U.S. dollars of revenue in 2024. Risk Factors for heart disease There are many risk factors associated with the development of heart disease, including family history, ethnicity, and age. However, there are other factors that can be modified through lifestyle changes such as physical inactivity, smoking, and unhealthy diets. Obesity has also been commonly associated with risk factors like hypertension and diabetes type II. In the United States, some ** percent of white adults are currently obese.

Number of deaths caused by diseases of the circulatory system, by age group and sex, 2000 to most recent year.

In 2023, there were approximately 750.5 deaths by all causes per 100,000 inhabitants in the United States. This statistic shows the death rate for all causes in the United States between 1950 and 2023. Causes of death in the U.S. Over the past decades, chronic conditions and non-communicable diseases have come to the forefront of health concerns and have contributed to major causes of death all over the globe. In 2022, the leading cause of death in the U.S. was heart disease, followed by cancer. However, the death rates for both heart disease and cancer have decreased in the U.S. over the past two decades. On the other hand, the number of deaths due to Alzheimer’s disease – which is strongly linked to cardiovascular disease- has increased by almost 141 percent between 2000 and 2021. Risk and lifestyle factors Lifestyle factors play a major role in cardiovascular health and the development of various diseases and conditions. Modifiable lifestyle factors that are known to reduce risk of both cancer and cardiovascular disease among people of all ages include smoking cessation, maintaining a healthy diet, and exercising regularly. An estimated two million new cases of cancer in the U.S. are expected in 2025.

2000 forward. NVSS is a secure, web-based data management system that collects and disseminates the Nation's official vital statistics. Indicators from this data source have been computed by personnel in CDC's Division for Heart Disease and Stroke Prevention (DHDSP). This is one of the datasets provided by the National Cardiovascular Disease Surveillance System. The system is designed to integrate multiple indicators from many data sources to provide a comprehensive picture of the public health burden of CVDs and associated risk factors in the United States. The data are organized by location (national and state) and indicator; NVSS mortality data include CVDs (e.g., heart failure). The data can be viewed by temporal trends and stratified by age group, sex, and race/ethnicity.

Finding a good data source is the first step toward creating a database. Cardiovascular illnesses (CVDs) are the major cause of death worldwide. CVDs include coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other heart and blood vessel problems. According to the World Health Organization, 17.9 million people die each year. Heart attacks and strokes account for more than four out of every five CVD deaths, with one-third of these deaths occurring before the age of 70 A comprehensive database for factors that contribute to a heart attack has been constructed , The main purpose here is to collect characteristics of Heart Attack or factors that contribute to it. As a result, a form is created to accomplish this. Microsoft Excel was used to create this form. Figure 1 depicts the form which It has nine fields, where eight fields for input fields and one field for output field. Age, gender, heart rate, systolic BP, diastolic BP, blood sugar, CK-MB, and Test-Troponin are representing the input fields, while the output field pertains to the presence of heart attack, which is divided into two categories (negative and positive).negative refers to the absence of a heart attack, while positive refers to the presence of a heart attack.Table 1 show the detailed information and max and min of values attributes for 1319 cases in the whole database.To confirm the validity of this data, we looked at the patient files in the hospital archive and compared them with the data stored in the laboratories system. On the other hand, we interviewed the patients and specialized doctors. Table 2 is a sample for 1320 cases, which shows 44 cases and the factors that lead to a heart attack in the whole database,After collecting this data, we checked the data if it has null values (invalid values) or if there was an error during data collection. The value is null if it is unknown. Null values necessitate special treatment. This value is used to indicate that the target isn’t a valid data element. When trying to retrieve data that isn't present, you can come across the keyword null in Processing. If you try to do arithmetic operations on a numeric column with one or more null values, the outcome will be null. An example of a null values processing is shown in Figure 2.The data used in this investigation were scaled between 0 and 1 to guarantee that all inputs and outputs received equal attention and to eliminate their dimensionality. Prior to the use of AI models, data normalization has two major advantages. The first is to avoid overshadowing qualities in smaller numeric ranges by employing attributes in larger numeric ranges. The second goal is to avoid any numerical problems throughout the process.After completion of the normalization process, we split the data set into two parts - training and test sets. In the test, we have utilized1060 for train 259 for testing Using the input and output variables, modeling was implemented.

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.

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.

It was estimated that in the fiscal year 2022-2023, there were 132,940 deaths in Canada from ischemic heart disease among those aged 20 years and older. Furthermore, there were 51,365 deaths from acute myocardial infarction, commonly known as a heart attack. This statistic shows the number of deaths in Canada attributable to ischemic heart disease and acute myocardial infarction from 2000-2023.

Quick Start 🚀: If you're not up for reading all of this, head straight to the file section. There, you'll find detailed explanations of the files and all the variables you need.

This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

Dataset Characteristics: Multivariate

Subject Area: Health and Medicine

Associated Tasks: Classification, Regression, Clustering

Feature Type: Integer, Real

Instances: 299

Features: 12

Dataset Information

A detailed description of the dataset can be found in the Dataset section of the following paper:

Title: Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

Authors:

Davide Chicco Giuseppe Jurman Source: BMC Medical Informatics and Decision Making 20, 16 (2020)

DOI: https://doi.org/10.1186/s12911-020-1023-5

Dataset Details

Statistical quantitative description of the category features

number of patients. %: percentage of patients. Full sample: 299 individuals. Dead patients: 96 individuals. Survived patients: 203 individuals.

No. of Deaths: Caused by: All Other Forms of Heart Disease data was reported at 1,259.000 Person in Sep 2024. This records a decrease from the previous number of 1,378.000 Person for Jun 2024. No. of Deaths: Caused by: All Other Forms of Heart Disease data is updated quarterly, averaging 1,141.500 Person from Mar 2017 (Median) to Sep 2024, with 30 observations. The data reached an all-time high of 1,378.000 Person in Jun 2024 and a record low of 918.000 Person in Jun 2020. No. of Deaths: Caused by: All Other Forms of Heart Disease data remains active status in CEIC and is reported by National Administrative Department of Statistics. The data is categorized under Global Database’s Colombia – Table CO.G012: Number of Deaths: Cause of Death.

Number of deaths and age-specific mortality rates for selected grouped causes, by age group and sex, 2000 to most recent year.

Switzerland Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 8.600 % in 2016. This records a decrease from the previous number of 8.700 % for 2015. Switzerland Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 9.700 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 12.600 % in 2000 and a record low of 8.600 % in 2016. Switzerland Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;

Descriptive statistics of patients with a cancer diagnosis stratified according to mCA status.

Includes information on the following topics: Aging, Alcohol, Arthritis,Asthma, Autism (ASD), Birth Defects, Births, Blood Disorders, Breastfeeding, Cancer, Chronic Diseases, Deaths, Diabetes, Disease Classification, Foodborne Illness, Genomics, Growth Charts, Healthy Water, Heart Disease, HIV/AIDS, Immunizations, Injuries & Violence, Life Expectancy, Lyme Disease, MRSA, Oral Health, Overweight & Obesity, Physical Inactivity, reproductive Health, Smoking & Tobacco, STDs, Vital Signs, Workplace

Ivory Coast CI: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data was reported at 28.200 NA in 2016. This records a decrease from the previous number of 28.500 NA for 2015. Ivory Coast CI: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data is updated yearly, averaging 27.700 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 28.500 NA in 2015 and a record low of 25.200 NA in 2000. Ivory Coast CI: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ivory Coast – Table CI.World Bank.WDI: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

SCORE Risk Charts

The European cardiovascular disease risk assessment model

Systematic COronary Risk Evaluation (SCORE): high and low cardiovascular risk charts based on gender, age, total cholesterol, systolic blood pressure and smoking status, with relative risk chart, qualifiers and instructions.

Advantages of SCORE - Based on a large data set tested thoroughly with European data - Operates with hard, reproducible endpoints (CVD death) - Risk of CHD and stroke death can be derived separately - Enables the development of an electronic interactive version of the risk chart - The SCORE risk function can be calibrated to each country’s national mortality statistics

The SCORE database combines results from: - 12 European cohort studies - 250,000 patient-data sets - 3 million person-years of observation - 7,000 fatal CV events

https://www.escardio.org/Education/Practice-Tools/CVD-prevention-toolbox/SCORE-Risk-Charts

https://www.heartscore.org/

BackgroundAtherosclerotic cardiovascular disease (ASCVD) significantly threatens the health of the Chinese population. Understanding its epidemiological burden is vital for targeted interventions.MethodsUsing Global Burden of Diseases (GBD) 2021 data, we assessed Disability-Adjusted Life Years (DALYs), incidence, prevalence, and mortality of ischemic heart disease (IHD), stroke, and lower extremity peripheral artery disease (PAD) in China in 2021. Joinpoint regression analyzed trends from 1990 to 2021, and risk factor contributions to the disease burden were evaluated.FindingsIn 2021, age-standardized rates (ASRs) per 100,000 population for IHD (DALYs, incidence, prevalence, mortality) were 1856.5 (1548.7, 2159.8), 365.7 (293.3, 440.1), 3042.3 (2601.7, 3629.9), and 110.9 (92.4, 128.6), respectively, with males bearing a higher burden. For stroke, ASRs were 2648 (2253.4, 3076.9), 204.8 (181, 231.5), 1301.4 (1200.6, 1405.7), and 138 (116.7, 160.3), also higher in males. Lower extremity PAD showed ASRs of 8.4 (4.9, 14.3), 112.7 (97.8, 130.7), 1331.1 (1147.5, 1544.2), and 0.1 (0.1, 0.2), with a higher burden in females. Metabolic risks had the largest population-attributable fraction.ConclusionAs of 2021, the epidemiological burden of IHD, stroke, and PAD in China remains substantial, with notable gender disparities. Metabolic risks significantly contribute to this burden.

Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 13.400 % in 2016. This records an increase from the previous number of 13.300 % for 2015. Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 13.400 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 17.300 % in 2000 and a record low of 13.300 % in 2015. Kenya KE: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;