Self-reported cognitive and psychiatric symptoms at 3 months predict single-item measures of fatigue and daytime sleep 12 months after ischemic stroke.

Introduction: Post-stroke fatigue and increased need for daytime sleep are multidimensional and insufficiently understood sequelae. Our aim was to study the relationships of self-reported cognitive and psychiatric symptoms at 3 months with fatigue and daytime sleep at 12 months post-stroke. Methods: Ischemic stroke patients without reported history of dementia or depression completed postal surveys 3- and 12-months post-stroke. At 3 months, psychiatric symptoms were assessed with the Hospital Anxiety and Depression Scale (HADS), and self-reported changes in cognitive symptoms (concentration and memory) compared to pre-stroke were assessed using single-item measures. At 12 months, single-item questions about changes in self-reported difficulties sleeping at night, fatigue and daytime sleep were included. First, we studied whether self-reported cognitive and/or psychiatric symptoms at 3 months were associated with daytime sleep and fatigue at 12 months using multiple logistic regression. Second, we fitted 2 structural equation models (SEMs) predicting fatigue and 2 models predicting daytime sleep. We compared a model where only age, sex, stroke severity (National Institutes of Health Stroke Scale; NIHSS), and difficulties sleeping at night predicted fatigue and daytime sleep at 12 months to a model where mental distress (i.e., a latent variable built of cognitive and psychiatric symptoms) was included as an additional predictor of fatigue and daytime sleep at 12 months. Results: Of 156 patients (NIHSS within 24 hours after admission (mean ± SD) = 3.6 ± 4.3, age = 73.0 ± 10.8, 41% female) 37.9% reported increased daytime sleep and 50.0% fatigue at 12 months. Increased psychiatric symptoms and worsened cognitive symptoms were associated with fatigue and daytime sleep at 12 months, after controlling for NIHSS, age, sex, and difficulties sleeping at night. SEM models including mental distress as predictor showed adequate model fit across 3 fit measures (highest RMSEA = 0.063, lowest CFI and TLI, both 0.975). Models without mental distress were not supported. Conclusion: Self-reported cognitive and psychiatric symptoms at 3 months predict increased daytime sleep and fatigue at 12 months. This highlights the relevance of monitoring cognitive and psychiatric symptoms in the subacute phase post-stroke. However, future research using validated measures of self-reported symptoms are needed to further explore these relationships.

Stroke-Related Knowledge and Lifestyle Behavior among Stroke Survivors.

AIMS: Awareness of stroke symptoms and risk factors, and actions taken in order to reduce the risk of new stroke events, should be of great importance among stroke survivors. The aims of this study were to assess changes in stroke-related knowledge and lifestyle behavior among patients experiencing a cerebrovascular event, and to assess the agreement between the patients' self-reported diagnosis, and the discharge diagnosis. METHODS: All patients discharged with a diagnosis of stroke or transient ischemic attack during a 1-year period, received postal survey questionnaires at 3 and 12 months after discharge. The questionnaires included questions about symptom knowledge, lifestyle behavior, and patients were asked to report on their diagnosis. RESULTS: A total of 282 patients were included (mean age 71.8 years, 57.1% men). Self-reported symptom knowledge was increased at 3 months (P < .001), and this persisted at 12 months. There was a poor correlation (r = .082; P = .171) between increasing symptom knowledge and stated lifestyle behavior changes. In all, 63% of the respondents correctly identified their own cerebrovascular subtype. Thirty-seven percent had quit smoking after 12 months, 30% reported that they used less sugary items, and 26% used less fatty food after the cerebrovascular event. CONCLUSIONS: Stroke survivors reported increased stroke symptoms knowledge after 3 and 12 months. A proportion of patients made changes in lifestyle behavior. Only 2 out of 3 patients correctly identified their own cerebrovascular subtype, indicating room for improvement in clinical practice when informing and communicating with stroke and transient ischemic attack patients about their diagnosis.

Changes in survival and characteristics among older stroke unit patients-1994 versus 2012.

OBJECTIVES: Treatment on organized stroke units (SUs) improves survival after stroke, and stroke mortality has decreased worldwide in recent decades; however, little is known of survival trends among SU patients specifically. This study investigates changes in survival and characteristics of older stroke patients receiving SU treatment. MATERIALS & METHODS: We compared 3-year all-cause mortality and baseline characteristics in two cohorts of stroke patients aged ≥60 consecutively admitted to the same comprehensive SU in 1994 (n = 271) and 2012 (n = 546). RESULTS: Three-year survival was 53.9% in 1994 and 56.0% in 2012, and adjusted hazard ratio (HR) was 0.99 (95% CI: 0.77-1.28). Adjusted 30-day case fatality was slightly higher in 2012, 18.9% versus 16.2%, HR 1.68 (95% CI: 1.14-2.47). There were no significant between-cohort differences in survival beyond 30 days. Patients in 2012 were older (mean age: 78.8 vs. 76.7 years) and more often admitted from nursing homes. There were higher rates of atrial fibrillation (33.7% vs. 21.4%) and malignancy (19.2% vs. 8.9%), and prescription of antiplatelets (46.9% vs. 26.2%) and warfarin (16.3% vs. 5.5%) at admission. Stroke severity was significantly milder in 2012, proportion with mild stroke 66.1% versus 44.3%. CONCLUSIONS: Three-year survival in older Norwegian stroke patients treated on an SU remained stable despite improved treatment in the last decades. Differences in background characteristics may explain this lack of difference; patients in 2012 were older, more often living in supported care, and had higher prestroke comorbidity; however, their strokes were milder and risk factors more often treated.

Differences in and Determinants of Prehospital Delay Times among Stroke Patients-1994 Versus 2012.

OBJECTIVES: Prehospital delay is a challenge for stroke treatment and the delivery of time-critical treatments. Few studies have examined secular trends in prehospital delay, and results vary. This study investigates how prehospital delay among Norwegian stroke patients has changed over the last 2 decades. METHODS: We compared time from symptom onset to admission in 2 cohorts of stroke patients admitted to Akershus University Hospital, Norway, in 1994 (n = 550) and 2012 (n = 522), and constructed predictive models for arrival within 3 hours for each cohort. RESULTS: More patients arrived within 3 hours of symptom onset in 2012 compared to 1994 (proportion, 47.1% versus 19.3%, P < .001), also after adjusting for age, sex, and baseline differences; odds ratio (OR) was 5.14 (95% confidence interval [CI] 3.69-7.15). Stroke severity was the only predictor examined that was independently associated with early arrival during both periods. For patients with moderate strokes the overall OR was 2.06 (95% CI 1.41-3.00) and for severe strokes 4.52 (95% CI 2.97-6.87), compared to those with mild strokes. In the 1994 cohort additional predictors of early arrival were living with others and not being admitted from nursing home. CONCLUSIONS: Prehospital delay in Norway has decreased considerably over the last 2 decades and since the availability of time-critical treatments. However, there is still an urgent need to reduce the number of delayed admissions as a large proportion of patients continue to arrive too late to benefit from these treatments. Patients with severer strokes were predicted to have earlier arrival.

The Burden of Stroke Mimics: Present and Future Projections.

BACKGROUND AND PURPOSE: An increasing proportion of patients presenting with suspected stroke prove to have other conditions, often referred to as stroke mimics. The aim of this study was to present a projection of the number of hospitalized strokes, transient ischemic attacks (TIAs), and stroke mimics in Norway up to the year 2050 based on expected demographic changes, to estimate the burden of stroke mimics in the coming decades. MATERIALS AND METHODS: This prospective study included all admissions to the stroke unit of Akershus University Hospital from March 1, 2012, to February 28, 2013. Relevant resource use was recorded. Based on the age- and sex-specific absolute incidences for the study period, the expected numbers of strokes, TIAs, and stroke mimics in the entire Norwegian population were computed for every fifth year for the period 2020-2050. RESULTS: We included 1881 admissions, of which 38.2% were stroke mimics. With constant age- and sex-dependent incidence rates, we estimated that the number of strokes and stroke mimics will respectively increase by 121.3% and 88.7% (men) and 97.6% and 71.7% (women). For hospital admission levels to stay constant at the 2013 level, an annual reduction of 2.1% and 1.7% (men) and 1.8% and 1.5% (women) must take place for strokes and mimics, respectively. CONCLUSIONS: A significant proportion of stroke unit admissions prove to have other conditions than stroke. With constant age- and sex-dependent incidence rates, the number of stroke mimics admissions will increase substantially over the next decades.