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Tools to measure stroke risk

Tools such as the Framingham Stroke Risk Profile1, QRISK2, QSTROKE3 and the Stroke Riskometer4are publicly available and free resources that can be used to estimate risk of having a stroke or other cardiovascular events within the next 10 years. They do this by looking at things like age, sex, height, weight, blood pressure and cholesterol level.

These tools give risk as a percentage, which shows how many people in 100 with the same risk score as you will get heart disease or have a stroke.

For example, if your risk is 20%, then in a group of 100 people with the same 20% risk, we would expect that 20 of them would get heart disease or have a stroke within the next 10 years and 80 would not.

Figure 1. For a group of ten people, two can be expected to experience a stroke in their lifetime.

 

References

  1. Carole Dufouil, Alexa Beiser, Leslie A. McLure, Philip A. Wolf, Christophe Tzourio, Virginia J. Howard et al. A Revised Framingham Stroke Risk Profile to Reflect Temporal Trends Circulation. 2017. Mar 21;135(12):1145-1159. https://doi.org/10.1161/circulationaha.115.021275
  2. Julia Hippisley-Cox, Carol Coupland, Peter Brindle. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ. 2017. 357.https://doi.org/10.1161/circresaha.116.308398
  3. Julia Hippisley-Cox. Derivation and validation of QStroke score for predicting risk of ischaemic stroke in primary care and comparison with other risk scores: a prospective open cohort study. BMJ. 2013. 346:f2573.https://doi.org/10.1136/bmj.f2573
  4. Oleg Medvedev, Quoc Cuong Truong, Alexander Merkin, Robert Borotkanics, Rita Krishnamurthi, Valery Feigin Cross-cultural validation of the stroke riskometer using generalizability theory. Sci Rep. 2021. 11:19064.https://doi.org/10.1038/s41598-021-98591-8

STROKE RISKS

Read about risk factors we can change 

LIFESTYLE

ENVIRONMENT

MEDICAL
CONDITIONS

Read about risk factors we cannot change 

AGE

BIOLOGICAL
SEX

ETHNICITY

GENETICS

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