Key result
Prediction of acute ischemic stroke using embolic risk factors yielded a C statistic of 0.63 (95% CI, 0.59-0.67), suggesting better stroke-specific prediction tools are needed for the oldest-old.
Why the study?
As life expectancy rises, identifying causes and risk factors for incident acute ischemic stroke among the oldest-old is increasingly important.
Do embolic risk factors mediate the effect of age on AIS subtype and improve AIS prediction in the oldest-old?
Cohort
Do embolic risk factors mediate the effect of age on AIS subtype and improve AIS prediction in the oldest-old?
Identification and control of embolic risk factors are critical to reduce stroke risk in the aging population, though current prediction tools show modest performance.
Warrants caution in AF stroke risk stratification; leaves open need for superior predictive models.[[1]](https://www.jacc.org/doi/10.1016/j.jacc.2015.08.033)[[2]](https://pmc.ncbi.nlm.nih.
BACKGROUND: As life expectancy rises, identifying causes and risk factors for incident acute ischemic stroke (AIS) among the oldest-old (≥80 years) is increasingly important. We examined whether the effect of age at stroke on AIS subtype is mediated by embolic risk factors and whether these factors improve AIS prediction. CONCLUSIONS: These findings suggest that identification and control of embolic risk factors are critical to reduce stroke risk as people age, and better stroke-specific prediction tools are needed.
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Wang et al. (2026) conducted a cohort in acute ischemic stroke. embolic risk factors was evaluated on AIS prediction (C statistic) (C statistic 0.63, 95% CI 0.59-0.67). Prediction of acute ischemic stroke using embolic risk factors yielded a C statistic of 0.63 (95% CI, 0.59-0.67), suggesting better stroke-specific prediction tools are needed for the oldest-old.
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