Cardiovascular desease
This website is for informational purposes only and not a substitute for medical advice.
Summary
- This factor describes whether you have had CVD yourself, and whether close relatives had early CVD. Both signal higher long-term risk.
- A past CVD event increases the chance of dying from many causes because it raises the risk of future heart and vascular events and often comes with other health problems.
- Across studies, having prior CVD is linked to higher all-cause mortality versus no CVD, with pooled risk estimates reported around 1.24–4.92 depending on the event type and population.
- Family history of premature CVD (in a first-degree relative) is linked to higher risk of earlier CVD (about 1.7–2.2× in some studies) and is also associated with higher all-cause mortality, especially when multiple relatives are affected.
Factor description
- Personal CVD history means you have previously been diagnosed with, or treated for, a heart or blood-vessel condition.
- Examples often include heart attack (myocardial infarction), stroke or TIA, angina, heart failure, peripheral artery disease, atrial fibrillation, or procedures such as PCI (stent) or CABG (bypass).
- Family history of CVD means close biological relatives have had CVD, especially at younger ages.
- Usually this focuses on first-degree relatives (parents, siblings, children).
- “Premature” CVD is commonly defined as before age 55 in men and before age 65 in women.
- Measurement is typically self-report (what you know about your own diagnoses and your relatives’ diagnoses), sometimes supported by medical records.
Impact on all-cause mortality
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Why personal CVD history affects all-cause mortality
- A prior CVD event raises the risk of another event (repeat heart attack, stroke, heart failure worsening, sudden cardiac death).
- CVD is also a marker of whole-body vascular disease and metabolic risk (high blood pressure, high LDL cholesterol, diabetes, smoking history), which can affect many causes of death.
- Many people with CVD have multiple conditions at the same time (for example kidney disease, diabetes, frailty), which increases overall mortality risk.
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What studies typically show for personal CVD history
- Compared with people without CVD, people with prior CVD have higher all-cause mortality.
- Reported risk estimates vary widely (roughly 1.24–4.92 in pooled estimates in the text you provided), often depending on:
- the type of index event (heart attack vs stroke vs heart failure)
- how long ago it happened
- age and other diseases
- treatment quality and risk-factor control
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Why family history affects all-cause mortality
- Family history can reflect inherited biology (lipids, blood pressure regulation, clotting tendency), shared behaviors (diet, smoking, activity), and shared environment.
- It often shifts disease earlier in life. Earlier disease exposure can increase lifetime risk and can raise overall mortality if not managed.
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What studies typically show for family history
- Having one first-degree relative with premature CVD is linked to higher risk of early CVD (about 1.7–2.2× in the text you provided) and is also associated with higher all-cause mortality.
- Having two or more affected relatives can signal a much stronger inherited risk (roughly 3.3–5.0× higher early-onset CVD risk in the text you provided).
- The impact is usually larger when family history is combined with current cardiometabolic risks (high blood pressure, high LDL/ApoB, diabetes, smoking).
Patterns
- People most affected by a personal CVD history:
- Those with multiple past events (for example, heart attack plus stroke).
- Those with heart failure, chronic kidney disease, diabetes, or continued smoking.
- Those with poor control of blood pressure, LDL/ApoB, and blood sugar after the event.
- People most affected by family history:
- Those with premature CVD in a parent or sibling (younger ages at diagnosis are a stronger warning sign).
- Those with multiple first-degree relatives affected.
- Those with signs of inherited lipid disorders (very high LDL cholesterol early in life) or early atrial fibrillation in the family.
- Disparities and environment:
- The same genetic risk can lead to different outcomes depending on prevention access (screening, medications, follow-up care), affordability, and health literacy.
- In settings with limited prevention and emergency care, the long-term impact of both personal and family history is often larger.
KamaLama scoring
This factor is scored as an event-based risk signal.
- Personal CVD history is treated as a major “already happened” event and receives a large negative score.
- Family history is treated as an inherited-risk signal and receives a smaller negative score.
- If both apply, the total effect is typically additive across factors in the overall model (each factor contributes its own score).
| Category/Range | Score (in years) |
|---|---|
| Yes | -10.0 |
| No | 0.0 |
| Yes | -2.0 |
| No | 0.0 |
Practical tips
- Write down your personal history clearly: event type (heart attack, stroke, heart failure, etc.) and year it happened. Keep it with your medical documents.
- Record family history for first-degree relatives: which relative, what happened, and the age at first event (especially if young).
- If you have personal CVD history, focus on the big “mortality levers”: do not smoke, take prescribed medicines consistently, and monitor blood pressure and cholesterol regularly.
- If you have family history, start prevention earlier: check blood pressure, lipids (LDL and ideally ApoB), blood sugar (HbA1c), and lifestyle risk factors even if you feel well.
- Build a simple prevention routine: 150 minutes/week of moderate activity (or equivalent), strength training, and a heart-healthy eating pattern you can sustain.
- Ask your clinician whether your family history suggests inherited conditions (for example familial hypercholesterolemia) that might need earlier or stronger treatment.
References
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Authoritative guidelines / evaluations
- Magnussen C et al. 2023. New England Journal of Medicine. https://doi.org/10.1056/NEJMoa2206916
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Peer-reviewed / indexed research
- Prugger C et al. 2023. European Journal of Preventive Cardiology. https://doi.org/10.1093/eurjpc/zwad192
- Cao X et al. 2023. BMC Public Health. https://doi.org/10.1186/s12889-023-16659-8
- Mszar R et al. 2025. Circulation. https://doi.org/10.1161/cir.151.suppl_1.p1045
- Ranthe M et al. 2012. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2012.06.018
- Barrett-Connor E, Khaw K. 1984. Circulation. https://doi.org/10.1161/01.CIR.69.6.1065
- Austin M et al. 2000. Circulation. https://doi.org/10.1161/01.CIR.101.24.2777
- Pastori D et al. 2020. Circulation: Arrhythmia and Electrophysiology. https://doi.org/10.1161/CIRCEP.120.008477
- Dijkstra T et al. 2023. European Journal of Human Genetics. https://doi.org/10.1038/s41431-023-01334-8
- Isiozor N et al. 2023. European Journal of Preventive Cardiology. https://doi.org/10.1093/eurjpc/zwad040
- Livingstone K et al. 2021. Nutrients. https://doi.org/10.3390/nu13124283