Stroke remains one of the most time-sensitive medical emergencies, where minutes between symptom onset and treatment directly determine brain tissue survival. Evidence suggesting that certain populations are less likely to be recognized as having a stroke before reaching a hospital has important implications — because delayed identification means delayed intervention, compounding biological disadvantage with a systemic one.
This multicenter retrospective analysis drew from the Get with the Guidelines–Stroke registry, examining 4,490 adult acute stroke patients arriving by EMS across 2020–2022. After multivariable adjustment for age, stroke severity, classic symptom presentation, and EMS agency type, male patients showed 26% greater odds of being identified as stroke by EMS compared to female patients (aOR 1.26, 95% CI 1.08–1.47). Notably, non-White patients showed statistically equivalent odds of prehospital identification as White patients (aOR 1.00, 95% CI 0.55–1.82). However, male sex was also independently associated with 43% higher odds of in-hospital death or discharge to hospice compared to females — a counterintuitive pairing of better recognition with worse survival.
This study's racial parity finding is worth examining carefully. The confidence interval for non-White versus White EMS identification spans nearly four-fold, meaning the study was substantially underpowered to detect racial differences in prehospital recognition — a null result here is not evidence of equity. The sex-recognition gap, by contrast, is more robustly estimated and aligns with a well-documented pattern: women more frequently present with atypical stroke symptoms such as altered consciousness, headache, or confusion rather than the classic unilateral weakness and speech deficits that EMS protocols are calibrated to catch. The worse male survival outcome may reflect greater stroke severity or cardiovascular comorbidity burden rather than care quality differences. As a retrospective, single-registry analysis without follow-up data, causal inference is limited, but the sex-recognition gap represents a modifiable training target for EMS systems.