Stroke Mimics on the Stroke Unit – Temporal trends 2008–2017 at a large Norwegian university hospital

Objectives: The objective was to quantify temporal trends in stroke mimics (SM) admissions relative to cerebrovascular accidents (CVA), incidence of hospitalized SMs and characterize the SM case-mix at a general hospital's stroke unit (SU). Materials & Methods: All SU admissions (n = 11240) of patients aged 15 or older to Haukeland University Hospital between 2008–2017 were prospectively included and categorized as CVA or SM. Logistic regression was used to estimate time trends in the proportion of SMs among the admissions. Poisson regression was used to estimate time trends in age- and sex-dependent SM incidence. Results: SMs were on average younger thaan CVA patients (68.3 vs. 71.4 years) and had a higher proportion of females (53.6% vs. 44.5%). The total proportion of SM admissions was 51.0%. There was an increasing time trend in the proportion of SM admissions, odds ratio 1.150 per year (p < 0.001), but this trend appears flattening, represented by a significant quadratic time-term, odds ratio 1.009 (p < 0.001). A higher SM proportion was also associated with the time period of a Mass Media Intervention (FAST campaign) in 2014. There was also an increasing trend in SM incidence, that remains after adjusting for age, sex, and population; also, for incidence the trend appears to be flattening. Conclusions: SMs account for approximately half of the SU admissions, and the proportion has been increasing. A FAST campaign appears to have temporarily increased the SM proportion. The age- and sex-dependent incidence of SM has been increasing but appears to flatten out.publishedVersio

Patient knowledge on stroke risk factors, symptoms and treatment options

Background: Public campaigns focus primarily on stroke symptom and risk factor knowledge, but patients who correctly recognize stroke symptoms do not necessarily know the reason for urgent hospitalization. The aim of this study was to explore knowledge on stroke risk factors, symptoms and treatment options among acute stroke and transient ischemic attack patients. Methods: This prospective study included patients admitted to the stroke unit at the Department of Neurology, Akershus University Hospital, Norway. Patients with previous cerebrovascular disease, patients receiving thrombolytic treatment and patients who were not able to answer the questions in the questionnaire were excluded. Patients were asked two closed-ended questions: “Do you believe that stroke is a serious disorder?” and “Do you believe that time is of importance for stroke treatment?”. In addition, patients were asked three open-ended questions where they were asked to list as many stroke risk factors, stroke symptoms and stroke treatment options as they could. Results: A total of 173 patients were included, of whom 158 (91.3%) confirmed that they regarded stroke as a serious disorder and 148 patients (85.5%) considered time being of importance. In all, 102 patients (59.0%) could not name any treatment option. Forty-one patients (23.7%) named one or more adequate treatment options, and they were younger (p<0.001) and had higher educational level (p<0.001), but had a nonsignificant shorter prehospital delay time (p=0.292). Conclusion: The level of stroke treatment knowledge in stroke patients seems to be poor. Public campaigns should probably also focus on information on treatment options, which may contribute to reduce prehospital delay and onset-to-treatment-time

Stroke Mimics on the Stroke Unit – Temporal trends 2008–2017 at a large Norwegian university hospital

Objectives: The objective was to quantify temporal trends in stroke mimics (SM) admissions relative to cerebrovascular accidents (CVA), incidence of hospitalized SMs and characterize the SM case-mix at a general hospital's stroke unit (SU). Materials & Methods: All SU admissions (n = 11240) of patients aged 15 or older to Haukeland University Hospital between 2008–2017 were prospectively included and categorized as CVA or SM. Logistic regression was used to estimate time trends in the proportion of SMs among the admissions. Poisson regression was used to estimate time trends in age- and sex-dependent SM incidence. Results: SMs were on average younger thaan CVA patients (68.3 vs. 71.4 years) and had a higher proportion of females (53.6% vs. 44.5%). The total proportion of SM admissions was 51.0%. There was an increasing time trend in the proportion of SM admissions, odds ratio 1.150 per year (p < 0.001), but this trend appears flattening, represented by a significant quadratic time-term, odds ratio 1.009 (p < 0.001). A higher SM proportion was also associated with the time period of a Mass Media Intervention (FAST campaign) in 2014. There was also an increasing trend in SM incidence, that remains after adjusting for age, sex, and population; also, for incidence the trend appears to be flattening. Conclusions: SMs account for approximately half of the SU admissions, and the proportion has been increasing. A FAST campaign appears to have temporarily increased the SM proportion. The age- and sex-dependent incidence of SM has been increasing but appears to flatten out