Background Clinical-diffusion mismatch between stroke severity and diffusion-weighted imaging lesion volume seems to identify stroke patients with penumbra. However, urgent magnetic resonance imaging is sometimes inaccessible or contraindicated. Thus, we hypothesized that using brain computed tomography (CT) to determine a baseline “clinical-CT mismatch” may also predict the responses to thrombolytic therapy. Methods Brain CT lesions were measured using the Alberta Stroke Program Early CT Score (ASPECTS). A total of 104 patients were included: 79 patients with a baseline National Institutes of Health Stroke Scale (NIHSS) score ≥ 8 and a CT-ASPECTS ≥ 9 who were defined as clinical-CT mismatch-positive (P group) and 25 patients with an NIHSS score ≥ 8 and a CT-ASPECTS < 9 who were defined as clinical-CT mismatch-negative (the N group). We compared their clinical outcomes, including early neurological improvement (ENI), early neurological deterioration (END), delta NIHSS score (admission NIHSS—baseline NIHSS score), symptomatic intracranial hemorrhage (sICH), mortality, and favorable outcome at 3 months. Results Patients in the P group had a greater proportion of favorable outcome at 3 months (p = 0.032) and more frequent ENI (p = 0.038) and a greater delta NIHSS score (p = 0.001), as well as a lower proportion of END (p = 0.004) than those in the N group patients. There were no significant differences in the incidence rates of sICH and mortality between the two groups. Conclusions Clinical-CT mismatch may be able to predict which patients would benefit from intravenous thrombolysis.

ABSTRACT. Stroke is a non-communicable disease of increasing socioeconomic importance in aging populations. This study compared the risk factors implicated in two subtypes of ischemic stroke: lacunar stroke (LS) and non-lacunar stroke (NLS). A retrospective case control study was conducted on a total of 368 patients [220 cases (59.8%) of NLS and 148 cases (40.2%) of LS] with first-time onset of ischemic stroke. Multivariate logistic regression was performed to compare multiple non-cerebrovascular risk factors between the two groups. More patients with a history of diabetes were found in the NLS than the LS group (40.5 vs 26.4%), and that both fasting glucose and HbA1C levels before the onset of stroke were higher in NLS than LS patients. Multivariate analysis revealed that patients with a history of diabetes were 1.57 times more likely to have NLS than LS (OR = 1.57, 95%CI = 0.95-3.26). Moreover, male patients were more likely to develop Ischemic lacunar stroke and non-lacunar stroke NLS than females (OR = 1.46, 95%CI = 0.79-2.69), and patients with elevated fibrinogen levels were 1.4 times more likely to develop NLS than LS (OR = 1.40, 95%CI = 1.09-1.80). Additionally, patients who were heavy drinkers (OR = 1.39, 95%CI = 0.68-2.84) or smokers (OR = 1.62, 95%CI = 0.91-2.89) were more likely to develop NLS than LS. Other risk factors, such as hypertension, dyslipidemia, age, and average blood pressure, did not differ between the two types of stroke. Thus, distinct non-cerebrovascular risk factors (male gender, long history of diabetes, elevated fibrinogen, heavy smoking, and heavy drinking) are associated with a higher risk of developing non-lacunar stroke than lacunar stroke.