Socio-demographics and clinical characteristics affecting pre-hospital delays in acute stroke patients: A 6-year registry study from a Malaysian stroke hospital

ABSTRACT

@#Background and objectives: The cumulative time spent without medical intervention in acute stroke patients may affect clinical outcomes. As the onset-to-arrival time to the hospital is crucial for effective treatment interventions, this study aimed to explore the factors associated with pre-hospital delays amongst acute stroke patients. Methods: We explored 932 patients data retrieved from the National Neurology Registry of Seberang Jaya Hospital between January 2013 and December 2018. Data on patient demographics and stroke manifestations were analysed using descriptive, univariate and multivariate logistic regressions. Results: Most patients were men (62.9%) with an average age of 62 years old. In the final multivariate regression model, pre-hospital delay was significantly lower among Chinese patients (aOR=0.6, 95% CI 0.4–0.9, p=0.016) and those using hospital ambulance (aOR=0.4, 95% CI 0.3–0.7, p<0.001), but higher among patients with lacunar infarcts (aOR=2.5, 95% CI 1.4–3.3; p<0.001). Conclusions: Demographic characteristic (ethnicity) and stroke manifestations, particularly stroke subtypes, and mode of transport were mainly associated with pre-hospital delays among acute stroke patients.