Stroke Risk Algorithm

Name: Stroke Population Risk Tool (SPoRT)

Version: 2.0

Calulates risk of stroke (major outcomes) from health behaviours and sociodemographic risks.

Algorithm Type

Survival

Algorithm Outcome

5-year risk of incident stroke. Inicident stroke included hospitalization and death for stroke. Diagnostic codes for stroke included Transient Ischemic Attack (ICD-9 codes: 362, 430, 431, 434, 435, 436; and ICD-10 codes: G45, H340, H34.1, I60, I61, I63, I64 excluding I608, I636, and G454 for most-responsible hospital diagnosis or underlying cause of death).

Algorithm Predictors

Age, sex, four health behaviours (smoking, alcohol consumption, diet, and physical activity), stress, sociodemographic factors (ethnicity, immigration status, income [individual and family], education [individual and highest family education], neighbourhood deprivation), chronic conditions (self-report of physician-diagnosed diabetes, coronary heart disease, and hypertension), and body mass index (calculated from self-reported height and weight). See S1 Table

Documentation

https://docs.projectbiglife.ca

References

Manuel DG, Tuna M, Perez R, Tanuseputro P, Hennessy D, Bennett C, Rosella R, Sanmartin C, van Walraven C, Tu JV. Predicting Stroke Risk Based on Health Behaviours: Development of the Stroke Population Risk Tool (SPoRT). PloS One. 2015 Dec 4;10(12):e0143342. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143342

Additional supporting documents (PMML, Lime, testing data, etc.)

https://github.com/Big-Life-Lab/predictive-algorithms/tree/master/SPoRT