Stroke risk in older British men: Comparing performance of stroke-specific and composite-CVD risk prediction tools

Ayesha Ahmed1, Gareth Ambler2, Snehal M Pinto Pereira3

  • 1Department of Primary Care and Population Health, University College London, UK.

Preventive Medicine Reports
|February 23, 2023
PubMed

Insights

Assessing stroke risk in older men requires specific tools. While common cardiovascular disease (CVD) risk calculators show limitations, QRISK3 offers better stroke risk calibration for older adults, even with competing risks.

Area of Science:

  • Gerontology
  • Epidemiology
  • Cardiovascular Medicine

Background:

  • Stroke risk prediction is typically integrated within composite cardiovascular disease (CVD) risk assessment.
  • Existing risk prediction tools were primarily developed using data from middle-aged populations.

Purpose of the Study:

  • To evaluate the accuracy of composite CVD risk prediction tools (QRISK3, Pooled Cohort Equations-PCE) versus stroke-specific tools (Framingham Stroke Risk Profile-FSRP, QStroke) in older men.
  • To assess the performance of these tools for predicting 10-year stroke outcomes in older adults.

Main Methods:

  • External validation of FSRP, QStroke, QRISK3, and PCE using stroke outcome data from older men (60-79 years) in the British Regional Heart Study.
  • Assessment of discrimination (C-indices) and calibration, with and without adjustment for competing risks (non-stroke mortality).
  • Examination of sensitivity and specificity using observed and clinically recommended risk thresholds.

Main Results:

  • All tools exhibited weak discrimination (C-indices 0.63-0.66).
  • FSRP and QStroke overestimated stroke risk at higher predicted levels; QRISK3 and PCE showed reasonable overall calibration.
  • QRISK3 demonstrated relatively better calibration for stroke events in men without CVD, including the oldest age groups, even after accounting for competing deaths.
  • Sensitivity and specificity were similar across tools using observed risk cut-offs, but QRISK3 and PCE showed very high sensitivity (99%) for stroke events when using CVD prevention thresholds, albeit with a high false positive rate (97%).

Conclusions:

  • Composite CVD risk tools like QRISK3 and PCE may be more suitable than older stroke-specific tools for assessing stroke risk in older men.
  • Current intervention thresholds for CVD prevention may need re-evaluation to better align with the age-related burden of stroke.
  • Further research is needed to refine stroke risk prediction models for elderly populations, considering competing risks.