Strokes, also referred to as Cerebrovascular Disease, was the cause of ** deaths per 100,000 population in the United Kingdom in 2023. Scotland had the highest rate of mortality across the UK, with ** deaths from strokes per 100,000.

Strokes, also referred to as Cerebrovascular Disease, was the cause of ** deaths per 100,000 population in the United Kingdom in 2022. Since the beginning of the provided time interval, the year 2000, the mortality rate from strokes has more than halved in the UK.

To reduce deaths from stroke.

This statistic displays the number of deaths from stroke in England and Wales in 2022, by gender and age. In this year, over 3.8 thousand women aged 85 years and over died of stroke in England and Wales, compared to two thousand men of the same age.

In 2021, **** percent of deaths from strokes in the UK were attributable to high blood pressure, also known as hypertension. Furthermore, **** percent of deaths were attributable to high LDL cholesterol, while ** percent of stroke deaths were due to diabetes.

To reduce deaths from stroke.

Deaths within 30 days of emergency admission to hospital: Stroke - indirectly age standardised mortality rate Source: Hospital Episode Statistics (HES), Office for National Statistics (ONS) Publisher: Information Centre (IC) - Clinical and Health Outcomes Knowledge Base Geographies: Local Authority District (LAD), Government Office Region (GOR), National, Strategic Health Authority (SHA) Geographic coverage: England Time coverage: 1998/99 to 2006/07 Type of data: Administrative data

This dataset presents the under-75 mortality rate from stroke, a key indicator within the cardiovascular health domain. It captures the rate of deaths attributed to stroke among individuals aged under 75, using data classified under ICD-10 codes I60 to I69. The dataset is structured to support public health monitoring and policy development by providing age-standardised mortality rates per 100,000 population.

Rationale Reducing premature mortality from stroke is a public health priority. Monitoring this indicator helps assess the effectiveness of prevention strategies, healthcare interventions, and broader determinants of health. It supports efforts to reduce health inequalities and improve outcomes for cardiovascular conditions.

Numerator The numerator is the number of deaths from stroke (ICD-10 codes I60 to I69) registered in the respective calendar years.

Denominator For single-year rates, the denominator is the population of individuals aged under 75, aggregated into quinary age bands. For three-year rolling averages, it is the population-years (combined populations over three years) for the same age range and structure. Population estimates are based on the 2021 Census.

Caveats Data may not align precisely with figures published by the Office for National Statistics (ONS) due to differences in postcode lookup versions and the application of comparability ratios in the Office for Health Improvement and Disparities (OHID) data. Users should consider these factors when interpreting the results.

External references Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

The Office for Health Improvement and Disparities (OHID) has updated the mortality profile.

The profile brings together a selection of mortality indicators, including from other OHID data tools such as the https://fingertips.phe.org.uk/profile/public-health-outcomes-framework/data" class="govuk-link">Public Health Outcomes Framework, making it easier to assess outcomes across a range of causes of death.

For the March 2023 update, 12 new indicators have been added to the profile:

• mortality rate for deaths due to COVID-19, all ages
• under 75 mortality rate for deaths due to COVID-19
• mortality rate from all cardiovascular diseases, all ages
• mortality rate from heart disease, all ages
• mortality rate from stroke, all ages
• mortality rate from cancer, all ages
• mortality rate from breast cancer, all ages
• mortality rate from colorectal cancer, all ages
• mortality rate from liver disease, all ages
• mortality rate from respiratory disease, all ages
• under 75 mortality rate from lung cancer
• mortality rate from dementia and Alzheimer’s disease, all ages

If you would like to send us feedback on the tool please contact pha-ohid@dhsc.gov.uk.

Mortality rate per 10,000 of people who have had a stroke - Plymouth - 2011-13

This statistic displays the mortality rate of stroke in the United Kingdom (UK) in 2016, by gender. Mortality from stroke is higher among women than men. In 2016 close to 28 thousand women and over 16 thousand men died from a stroke in the UK

The percentage of patients with stroke or transient ischaemic attack (TIA), as recorded on practice disease registers (proportion of total list size).

Rationale Stroke is the third most common cause of death in the developed world. One quarter of stroke deaths occur under the age of 65 years. There is evidence that appropriate diagnosis and management can improve outcomes.

Definition of numerator Patients with stroke or transient ischaemic attack (TIA), as recorded on practice disease registers.

Definition of denominator Total practice list size.

In 2023/24, there were approximately ***** thousand hospital admissions for stroke in the United Kingdom, a slight increase from the preceding year. Since 2011/12, the annual admissions as a result of strokes in the UK have slightly increased.

Recorded and expected prevalence of stroke/TIA in Camden, by GP practice, 2014/15 Note: To view the charts with the correct formatting, please click the Enable editing button when Excel opens.

This dataset presents the percentage of patients registered with a general practice who have a recorded history of stroke or transient ischaemic attack (TIA). The data is sourced from the Quality and Outcomes Framework (QOF) maintained by NHS Digital and reflects the prevalence of these conditions across GP practice populations. It serves as a key indicator for understanding the burden of cardiovascular disease within primary care settings.

Rationale Stroke and TIA are major contributors to long-term disability and mortality. Monitoring their prevalence supports efforts to reduce the overall burden of cardiovascular disease. By identifying the proportion of patients affected, healthcare providers and policymakers can better allocate resources, plan interventions, and track progress in prevention and management strategies.

Numerator The numerator consists of patients with a recorded diagnosis of stroke or transient ischaemic attack (TIA) on their GP practice's disease register. This information is collected through the Quality and Outcomes Framework (QOF), which incentivizes practices to maintain accurate and up-to-date clinical records.

Denominator The denominator is the total number of patients registered at the GP practice, also sourced from the QOF. This provides the context needed to calculate the percentage of patients affected by stroke or TIA.

Caveats There are no specific caveats noted for this indicator. However, it is important to consider that the accuracy of the data depends on consistent and comprehensive recording practices across GP surgeries. Variations in coding or diagnosis thresholds may affect comparability.

External References Further information and related indicators can be found on the Fingertips Public Health Profiles website.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

This data shows premature deaths (Age under 75) from Cardiovascular Disease, numbers and rates by gender, as 3-year moving-averages. Cardiovascular Disease include heart diseases and stroke, and others. Socio-economic and lifestyle factors are associated with circulatory disease deaths and inequalities in circulatory disease rates. Modifiable risk factors include smoking, excess weight, diet, and physical inactivity. Directly Age-Standardised Rates (DASR) are shown in the data, where numbers are sufficient, so that death rates can be directly compared between areas. The DASR calculation applies Age-specific rates to a Standard (European) population to cancel out possible effects on crude rates due to different age structures among populations, thus enabling direct comparisons of rates. A limitation on using mortalities as a proxy for prevalence of health conditions is that mortalities may give an incomplete view of health conditions in an area, as ill-health might not lead to premature death. Data source: NHS Digital (now part of NHS England) Compendium hub, dataset unique identifier P00395. This data is updated annually. Note: Compendium Mortality Consultation 2022 NHS Digital is currently analysing the results of the consultation that closed on 14 September 2022. In the meantime the next publication is on hold. 6 February 2023 10:55 AM

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.

These mortality indicators provide information to help the National Health Service (NHS) monitor success in preventing potentially avoidable deaths following hospital treatment. The National Confidential Enquiry into Patient Outcome and Death (NCEPOD) have, over many years, consistently shown that some deaths are associated with shortcomings in health care. The NHS may be helped to prevent such potentially avoidable deaths by seeing comparative figures and learning lessons from the confidential enquiries, and from the experience of hospitals with low death rates. The indicators presented measure mortality rates for patients, admitted for certain conditions or procedures, where death occurred either in hospital or within 30 days of the emergency admission or operative procedure. There are five 'deaths within 30 days' indicators: Operative procedures: Deaths within 30 days of a hospital procedure: surgery (non-elective admissions) Deaths within 30 days of a hospital procedure: coronary artery bypass graft Emergency admissions: Deaths within 30 days of emergency admission to hospital: fractured proximal femur Deaths within 30 days of emergency admission to hospital: myocardial infarction Deaths within 30 days of emergency admission to hospital: stroke

Background and PurposeRecent epidemiological data indicate that the absolute number of hemorrhagic stroke cases increased by 47% between 1990 and 2010 and continued to cause high rates of death and disability. The last systematic review and meta-analysis of incidence and long-term survival of intracerebral hemorrhage (ICH) were published 11 and 7 years ago, respectively, and lacked comparison between different income groups, therefore, a more up to date analysis is needed. We aim to investigate the ICH incidence and long-term survival data in countries of different income groups.Materials MethodsWe systematically searched Ovid Medline for population-based longitudinal studies of first-ever spontaneous ICH published from January 2000 to December 2020. We performed meta-analyses on the incidence and survival rate in countries of 4 different income groups with random-effects models (severe inconsistency). The I2 was used to measure the heterogeneity. Heterogeneity was further investigated by conducting the meta-regression on the study mid-year. Time trends of the survival rate were assessed by weighted linear regression.ResultsWe identified 84 eligible papers, including 68 publications reporting incidence and 24 publications on the survival rate. The pooled incidence of ICH per 100,000 per person-years was 26.47 (95% CI: 21.84–32.07) worldwide, 25.9 (95% CI: 22.63–29.63) in high-income countries (HIC), 28.45 (95% CI: 15.90–50.88) in upper-middle-income countries, and 31.73 (95% CI: 18.41–54.7) in lower-middle-income countries. The 1-year pooled survival rate was from 50% (95% CI: 47–54%; n = 4,380) worldwide to 50% (95% CI: 47–54%) in HIC, and 46% (95% CI: 38–55%) in upper-middle income countries. The 5-year pooled survival rate was 41% (95% CI: 35–48%; n = 864) worldwide, 41% (95% CI: 32–50%) in high-income and upper-middle countries. No publications were found reporting the long-term survival in lower-middle-income and low-income countries. No time trends in incidence or survival were found by meta-regression.ConclusionThe pooled ICH incidence was highest in lower-middle-income countries. About half of ICH patients survived 1 year, and about two-fifths survived 5 years. Reliable population-based studies estimating the ICH incidence and long-term survival in low-income and low-middle-income countries are needed to help prevention of ICH.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=170140, PROSPERO CRD42020170140.