Ten-year trends in stroke admissions and outcomes in Canada

Impact of early MRI in ischemic strokes beyond hyper-acute stage to improve patient outcomes, enable early discharge, and realize cost savings

BACKGROUND

Early in-patient MR Imaging may assist in identifying stroke etiology, facilitating prompt secondary prevention for ischemic strokes (IS), and potentially enhancing patient outcomes. This study explores the impact of early in patient MRI on IS patient outcomes and healthcare resource use beyond the hyper-acute stage.

METHODS

In this retrospective registry-based study, 771 admitted transient ischemic attack (TIA) and IS patients at Halifax's QEII Health Centre from 2015 to 2019 underwent in-patient MRI. Cohort was categorized into two groups based on MRI timing: early (within 48 h) and late. Logistic regression and Poisson log-linear models, adjusted for age, sex, stroke severity, acute stroke protocol (ASP) activation, thrombolytic, and thrombectomy, were employed to examine in-hospital, discharge, post-discharge, and healthcare resource utilization outcomes.

RESULTS

Among the cohort, 39.6 % received early in-patient MRI. ASP activation and TIA were associated with a higher likelihood of receiving early MRI. Early MRI was independently associated with a lower rate of symptomatic changes in neurological status during hospitalization (adjusted odds ratio [OR], 0.42; 95 % confidence interval [CI], 0.20-0.88), higher odds of good functional outcomes at discharge (1.55; 1.11-2.16), lower rate of non-home discharge (0.65; 0.46-0.91), shorter length of stay (regression coefficient, 0.93; 95 % CI, 0.89-0.97), and reduced direct cost of hospitalization (0.77; 0.75-0.79).

CONCLUSION

Early in-patient MRI utilization in IS patients post-hyper-acute stage was independently associated with improved patient outcomes and decreased healthcare resource utilization, underscoring the potential benefits of early MRI during in-patient management of IS. Further research, including randomized controlled trials, is warranted to validate these findings.

Stroke virtual rehabilitation in rural communities: exploring the perceptions of stroke survivors, caregivers, clinicians, and health administrators

PURPOSE

Rural-dwelling stroke survivors have unmet rehabilitation needs after returning to community-living. Virtual rehabilitation, defined as the use of technology to provide rehabilitation services from a distance, could be a viable and timely solution to address this need, especially within the COVID-19 pandemic context. There is still a minimal understanding of virtual rehabilitation delivery within rural contexts. This study sought to explore the perceptions of rural stakeholders about virtual stroke rehabilitation.

METHODS

Following an interpretive description approach, 17 qualitative interviews were conducted with stroke survivors (n = 5), caregivers (n = 2), clinicians (n = 7), and health administrators (n = 3), and analyzed to understand their experiences and perceptions of virtual stroke rehabilitation.

RESULTS

We identified three overarching themes from the participant responses (1) The Root of the (Rural) Problem considered how systemic inequities impact stroke survivors' and caregivers' access to stroke recovery services; (2) Common Benefits, Different Challenges identified the unique benefits and challenges of delivering virtual rehabilitation within rural contexts; and (3) Ingredients for Success described important considerations for implementing virtual rehabilitation.

CONCLUSION

Virtual rehabilitation is generally accepted by all stakeholders as a supplement to in-person services. Addressing the unique barriers faced by rural clinicians and stroke survivors is necessary to provide successful virtual rehabilitation.

Interventions for improving psychosocial well-being after stroke: A systematic review

BACKGROUND

Up to one third of all stroke patients suffer from one or more psychosocial impairments. Recognition and treatment of these impairments are essential in improving psychosocial well-being after stroke. Although nurses are ideally positioned to address psychosocial well-being, they often feel insecure about providing the needed psychosocial care. Therefore, we expect that providing nurses with better knowledge to deliver this care could lead to an improvement in psychosocial well-being after stroke. Currently it is not known which interventions are effective and what aspects of these interventions are most effective to improve psychosocial well-being after stroke.

OBJECTIVE

To identify potentially effective interventions - and intervention components - which can be delivered by nurses to improve patients' psychosocial well-being after stroke.

METHODS

A systematic review and data synthesis of randomized controlled trials and quasi experimental studies was conducted. Papers were included according to the following criteria: 1) before-after design, 2) all types of stroke patients, 3) interventions that can be delivered by nurses, 4) the primary outcome(s) were psychosocial. PubMed, Embase, PsychInfo, CINAHL and Cochrane library were searched (August 2019-April 2022). Articles were selected based on title, abstract, full text and quality. Quality was assessed by using Joanna Briggs Institute checklists and a standardized data extraction form developed by Joanna Brigss Institute was used to extract the data.

RESULTS

In total 60 studies were included, of which 52 randomized controlled trials, three non-randomized controlled trials, four quasi-experimental studies, and one randomized cross-over study. Nineteen studies had a clear psychosocial content, twenty-nine a partly psychosocial content, and twelve no psychosocial content. Thirty-nine interventions that showed positive effects on psychosocial well-being after stroke were identified. Effective intervention topics were found to be mood, recovery, coping, emotions, consequences/problems after stroke, values and needs, risk factors and secondary prevention, self-management, and medication management. Active information and physical exercise were identified as effective methods of delivery.

DISCUSSION

The results suggest that interventions to improve psychosocial well-being should include the intervention topics and methods of delivery that were identified as effective. Since effectiveness of the intervention can depend on the interaction of intervention components, these interactions should be studied. Nurses and patients should be involved in the development of such interventions to ensure it can be used by nurses and will help improve patients' psychosocial well-being.

FUNDING AND REGISTRATION

This study was supported by the Taskforce for Applied Research SIA (RAAK.PUB04.010). This review was not registered.

Mitochondrial DNA abnormalities and metabolic syndrome

Metabolic syndrome (MetS) is a complex pathological condition that involves disrupted carbohydrate, protein, and fat metabolism in the human body, and is a major risk factor for several chronic diseases, including diabetes, cardiovascular disease, and cerebrovascular disease. While the exact pathogenesis of metabolic syndrome is not yet fully understood, there is increasing evidence linking mitochondrial dysfunction, which is closely related to the mitochondrial genome and mitochondrial dynamics, to the development of this condition. Recent advancements in genetic sequencing technologies have allowed for more accurate detection of mtDNA mutations and other mitochondrial abnormalities, leading to earlier diagnosis and intervention in patients with metabolic syndrome. Additionally, the identification of specific mechanisms by which reduced mtDNA copy number and gene mutations, as well as abnormalities in mtDNA-encoded proteins and mitochondrial dynamics, contribute to metabolic syndrome may promote the development of novel therapeutic targets and interventions, such as the restoration of mitochondrial function through the targeting of specific mitochondrial defects. Additionally, advancements in genetic sequencing technologies may allow for more accurate detection of mtDNA mutations and other mitochondrial abnormalities, leading to earlier diagnosis and intervention in patients with MetS. Therefore, strategies to promote the restoration of mitochondrial function by addressing these defects may offer new options for treating MetS. This review provides an overview of the research progress and significance of mitochondrial genome and mitochondrial dynamics in MetS.

Admission Rates, Time Trends, Risk Factors, and Outcomes of Ischemic and Hemorrhagic Stroke From German Nationwide Data

BACKGROUND AND OBJECTIVES

In the past decade, there have been major improvements in the control of risk factors, acute stroke therapies, and rehabilitation after the availability of high-quality evidence and guidelines on best practices in the acute phase. In this changing landscape, we aimed to investigate the stroke admission rates, time trends, risk factors, and outcomes during the period of 2014-2019 using German nationwide data.

METHODS

We obtained data of all acute stroke hospitalizations by the Federal Statistical Office. All hospitalized cases of adults (age 18 years or older) with acute stroke from the years 2014-2019 were analyzed regarding time trends, risk factors, treatments, morbidity, and in-hospital mortality according to stroke subtype (all-cause/ischemic/hemorrhagic).

RESULTS

Between 2014 and 2019, overall stroke hospitalizations in adults (median age = 76 years, [IQR: 65-83 years]) initially increased from 306,425 in 2014 to peak at 318,849 in 2017 before falling to again to 312,692 in 2019, whereas percentage stroke hospitalizations that resulted in death remained stable during this period at 8.5% in 2014 and 8.6% in 2019. In a multivariate model of 1,882,930 cases, the strongest predictors of in-hospital stroke mortality were hemorrhagic subtype (adjusted OR [aOR] = 3.06, 95% CI 3.02-3.10; p < 0.001), cancer (aOR = 2.11, 2.06-2.16; p < 0.001), congestive heart failure (aOR = 1.70, 1.67-1.73; p < 0.001), and lower extremity arterial disease (aOR = 1.76, 1.67-1.84; p < 0.001).

DISCUSSION

Despite recent advances in acute stroke care over the past decade, the percentage of stroke hospitalizations resulting in death remained unchanged. Further research is needed to determine how best to optimize stroke care pathways for multimorbid patients.

Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy

BACKGROUND

Telerobotic endovascular therapy (EVT) has the potential to decrease time to treatment and expand existing networks of care to more rural populations. It is currently unclear how its implementation would impact existing stroke networks.

METHODS

Conditional probability models were generated to predict the probability of excellent outcome for patients with suspected large vessel occlusion (LVO). A baseline stroke network was created for California using existing intravenous thrombolysis (IVT) centers and comprehensive stroke centers (CSCs) capable of IVT and EVT. Optimal transport decisions and catchment areas were generated for the baseline model and three hypothetical scenarios through conversion of IVT centers at various distances from a CSC into centers capable of telerobotic EVT [i.e., hospitals ≥15 and <50 miles from a CSC were converted (Scenario 1), ≥50 and <100 miles (Scenario 2), and ≥100 miles (Scenario 3)]. Procedural times and success rates were varied systematically.

RESULTS

Telerobotic EVT centers decreased median travel time for LVO patients in all three scenarios. The estimated number of robotically treated LVOs per year in Scenarios 1, 2, and 3 were 2,172, 740, and 212, respectively. Scenario 1 (15-50 miles) was the most sensitive to robotic time delay and success rate, but all three scenarios were more sensitive to decreases in procedural success rate compared to time delay.

CONCLUSIONS

Telerobotic EVT has the potential to improve care for stroke patients outside of major urban centers. Compared to procedural time delays in robotic EVT, a decrease in procedural success rate would not be well tolerated.

Non-invasive Brain Temperature Measurement in Acute Ischemic Stroke

Selective therapeutic hypothermia in the setting of mechanical thrombectomy (MT) is promising to further improve the outcomes of large vessel occlusion stroke. A significant limitation in applying hypothermia in this setting is the lack of real-time non-invasive brain temperature monitoring mechanism. Non-invasive brain temperature monitoring would provide important information regarding the brain temperature changes during cooling, and the factors that might influence any fluctuations. This review aims to provide appraisal of brain temperature changes during stroke, and the currently available non-invasive modalities of brain temperature measurement that have been developed and tested over the past 20 years. We cover modalities including magnetic resonance spectroscopy imaging (MRSI), radiometric thermometry, and microwave radiometry, and the evidence for their accuracy from human and animal studies. We also evaluate the feasibility of using these modalities in the acute stroke setting and potential ways for incorporating brain temperature monitoring in the stroke workflow.

Social Determinants of Stroke Hospitalization and Mortality in United States' Counties

(1) Background: Stroke incidence and outcomes are influenced by socioeconomic status. There is a paucity of reported population-level studies regarding these determinants. The goal of this ecological analysis was to determine the county-level associations of social determinants of stroke hospitalization and death rates in the United States. (2) Methods: Publicly available data as of 9 April 2021, for the socioeconomic factors and outcomes, was extracted from the Centers for Disease Control and Prevention. The outcomes of interest were “all stroke hospitalization rates per 1000 Medicare beneficiaries” (SHR) and “all stroke death rates per 100,000 population” (SDR). We used a multivariate binomial generalized linear mixed model after converting the outcomes to binary based on their median values. (3) Results: A total of 3226 counties/county-equivalents of the states and territories in the US were analyzed. Heart disease prevalence (odds ratio, OR = 2.03, p < 0.001), blood pressure medication nonadherence (OR = 2.02, p < 0.001), age-adjusted obesity (OR = 1.24, p = 0.006), presence of hospitals with neurological services (OR = 1.9, p < 0.001), and female head of household (OR = 1.32, p = 0.021) were associated with high SHR while cost of care per capita for Medicare patients with heart disease (OR = 0.5, p < 0.01) and presence of hospitals (OR = 0.69, p < 0.025) were associated with low SHR. Median household income (OR = 0.6, p < 0.001) and park access (OR = 0.84, p = 0.016) were associated with low SDR while no college degree (OR = 1.21, p = 0.049) was associated with high SDR. (4) Conclusions: Several socioeconomic factors (e.g., education, income, female head of household) were found to be associated with stroke outcomes. Additional research is needed to investigate intermediate and potentially modifiable factors that can serve as targeted interventions.

Demographic and institutional predictors of stroke hospitalization mortality among adults in the United States

Introduction

Stroke remains a primary source of functional disability and inpatient mortality in the United States (US). Recent evidence reveals declining mortality associated with stroke hospitalizations in the US. However, data updating trends in inpatient mortality is lacking. This study aims to provide a renewed inpatient stroke mortality rate in a national sample and identify common predictors of inpatient stroke mortality.

Methods

In this cross-sectional study, we analyzed data from a nationwide database between 2010 and 2017. We included patient encounters for both ischemic (ICD9 433–434, ICD10 I630–I639) and hemorrhagic stroke (ICD9 430–432, ICD10 I600–I629). We performed an annual comparison of in-hospital stroke mortality rates, and a cross-sectional analytic approach of multiple variables identified common predictors of inpatient stroke mortality.

Results

Between 2010 and 2017, we identified 518,185 total stroke admissions (86.6% ischemic stroke and 13.4% hemorrhagic strokes). Stroke admissions steadily increased during the studied period, whereas we observed a steady decline in in-hospital mortality during the same time. The inpatient stroke mortality rate gradually declined from 4.8% in 2010 (95% CI 4.6–5.1) to 2.1% in 2017 (95% CI 2.0–2.1). Predictors of higher odds of dying from ischemic stroke were female (OR 1.059, 95% CI 1.015–1.105, p = 0.008), older age (OR 1.028, 95% CI 1.026–1.029, p < 0.001), and sicker patients (OR 1.091, 95% CI 1.089–1.093, p < 0.001). Predictors of higher odds of dying from hemorrhagic stroke were Hispanic ethnicity (OR 1.459, 95% CI 1.084–1.926, p < 0.001), older age (OR 1.021, 95% CI 1.019–1.023, p < 0.001), and sicker patients (OR 1.042, 95% CI 1.039–1.045, p < 0.001). All census regions and hospital types demonstrated improvements in in-hospital mortality.

Conclusion

This study identified a continuous declining rate in in-hospital mortality due to stroke in the United States, and it also identified demographic and hospital predictors of inpatient stroke mortality.

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Stroke remains a leading cause of morbidity and mortality in the United States

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Stroke hospitalization mortality trends are important to guide efforts in acute stroke care

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Vascular risk factors are still prevalent in the population admitted due to stroke and continue to be associated with higher odds of death

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There are important regional disparities in stroke hospitalization deaths in the United States

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Hospital characteristics influence odds of death from a stroke independent of stroke etiology

Prevalence of Walking Limitation After Acute Stroke and Its Impact on Discharge to Home

OBJECTIVE

The purpose of this study was to provide contemporary estimates of the prevalence of lower extremity motor impairment and walking limitation after first-ever stroke and to characterize the predictive nature of early walking ability for being discharged home after acute hospitalization.

METHODS

In this cohort study, data were collected from a metropolitan acute care hospital in Canada at admission for 487 adults with first-ever acute ischemic or hemorrhagic stroke. Lower extremity motor impairment and walking limitation were measured using the National Institutes of Health Stroke Scale and AlphaFIM, respectively. Parallel multivariable logistic regression models were built to predict discharge home after acute hospitalization compared with further hospitalization.

RESULTS

For patients surviving a first-ever stroke, 44.1% presented with some degree of lower extremity motor impairment and 46.0% were unable to walk. In a multivariable model built around a binary classification of walking (Nagelkerke R2 = 0.41), those with any ability to walk at admission (with or without therapist assistance) had 9.48 times greater odds of being discharged home (odds ratio = 9.48, 95% CI = 6.11-14.92) than those who were unable. In a parallel multivariable model built around an ordinal classification of walking (Nagelkerke R2 = 0.49), patients had 2.07 times greater odds (odds ratio = 2.07, 95% CI = 1.82-2.38) of being discharged home for each increment on a 6-point walking scale (total dependence to complete independence) assessed at acute admission.

CONCLUSION

Approximately one-half of patients with first-ever stroke present with lower extremity weakness and walking limitation. Early walking ability is a significant predictor of returning home after acute hospitalization, independent of stroke severity. Discharge planning may be facilitated early after stroke with the familiar assessment of walking ability.

IMPACT

An early assessment of walking function within days of stroke admission can help to streamline discharge planning.

LAY SUMMARY

Nearly one-half of all individuals who experience a first-time stroke have walking difficulty when they arrive at the hospital. The severity of the walking limitation can predict whether a patient will eventually be discharged home or go on to further hospitalization.

Comparison of mothership versus drip-and-ship models in treating patients with acute ischemic stroke: A systematic review and meta-analysis

INTRODUCTION

There is controversy if direct to comprehensive center "mothership" or stopping at primary center for thrombolysis before transfer to comprehensive center "drip-and-ship" are best models of treatment of acute stroke. In this study, we compare mothership and drip-and-ship models to evaluate the best option of functional outcome.

METHODS

Studies between 1990 and 2020 were extracted from online electronic databases. Clinical outcomes, critical time measurements, functional independence, and mortality were then compared.

RESULTS

A total of 7824 patients' data were retrieved from 13 publications (3 randomized control trials and 10 retrospective ones). In addition, 4639 (59.3%) patients were treated under mothership model, and 3185 (40.7%) followed the drip-and-ship model with mean age of 70.01 ± 3.58 versus 69.03 ± 3.36; p < 0.001, respectively. The National Institute Health Stroke Scale was 15.57 ± 3.83 for the mothership and 15.72 ± 2.99 for the drip-and-ship model (p ≤ 0.001). The mean symptoms onset-to-puncture time was significantly shorter in the mothership group compared to the drip-and-ship (159.69 min vs. 223.89 min; p ≤ 0.001, respectively). Moreover, the collected data indicated no significant difference between symptom's onset to intravenous thrombolysis time and stroke onset-to-successful recanalization time (p = 0.205 and p ≤ 0.001, respectively). Patients had significantly worse functional outcome (modified Rankin score) (3-6) at 90 days in the drip-and-ship model (odds ratio (OR): 1.47, 95% confidence interval (CI): 1.13-1.92, p < 0.004) and 1.49-folds higher likelihood of symptomatic intracerebral hemorrhage (OR: 1.49, 95% CI: 1.22-1.81, p < 0.0001) compared to mothership. However, there were no statistically significant difference in terms of mortality (OR: 1.16, 95% CI: 0.87-1.55, p = 0.32) and successful recanalization (OR: 1.12, 95% CI: 0.76-1.65, p = 0.56) between the two models of care.

CONCLUSION

Patients in the mothership model have significantly improved functional independence and recovery. Further studies are needed as the data from prospectively randomized studies are not of sufficient quality to make definite recommendations.

Temporal Trends in Case Fatality, Discharge Destination, and Admission to Long-term Care After Acute Stroke

OBJECTIVE

To determine contemporary trends in case fatality, discharge destination, and admission to long-term care after acute ischemic stroke and intracerebral hemorrhage (ICH) using a large, population-based cohort.

METHODS

We used linked administrative data to identify all emergency department visits and hospital admissions for first-ever ischemic stroke or ICH in Ontario, Canada, from 2003 to 2017. We calculated crude and age-/sex-standardized risk of death at 30 days and 1 year from stroke onset. We stratified crude trends by stroke type, age, and sex and used the Kendall τ-b correlation coefficient to evaluate the significance of trends. We determined trends in discharge home and to rehabilitation and admission to long-term care at 1 year. We used Cox proportional hazard and logistic regression models to assess whether trends in outcomes persisted after adjustment for baseline factors, estimated stroke severity, and use of life-sustaining care.

RESULTS

There were 163,574 people with acute ischemic stroke or ICH across the study period. Between 2003 and 2017, age-/sex-standardized 30-day stroke case fatality decreased from 20.5% to 13.2% (7.3% absolute and 36% relative reduction) while that at 1 year decreased from 32.2% to 22.8% (9.3% absolute and 29% relative reduction). Findings were consistent across age, sex, and stroke type, and after adjustment for comorbid conditions, stroke severity, and use of life-sustaining care. There was a reduction in long-term care admission after ischemic stroke and an increase in discharge home or to rehabilitation for both stroke types.

CONCLUSION

We observed substantial reductions in acute stroke case fatality from 2003 to 2017 with a concurrent increase in discharge to home or rehabilitation and a decrease in long-term care admissions, suggesting continuous improvements in stroke systems of care.

Care of the Patient With Acute Ischemic Stroke (Posthyperacute and Prehospital Discharge): Update to 2009 Comprehensive Nursing Care Scientific Statement: A Scientific Statement From the American Heart Association

In 2009, the American Heart Association/American Stroke Association published a comprehensive scientific statement detailing the nursing care of the patient with an acute ischemic stroke through all phases of hospitalization. The purpose of this statement is to provide an update to the 2009 document by summarizing and incorporating current best practice evidence relevant to the provision of nursing and interprofessional care to patients with ischemic stroke and their families during the acute (posthyperacute phase) inpatient admission phase of recovery. Many of the nursing care elements are informed by nurse-led research to embed best practices in the provision and standard of care for patients with stroke. The writing group comprised members of the Stroke Nursing Committee of the Council on Cardiovascular and Stroke Nursing and the Stroke Council. A literature review was undertaken to examine the best practices in the care of the patient with acute ischemic stroke. The drafts were circulated and reviewed by all committee members. This statement provides a summary of best practices based on available evidence to guide nurses caring for adult patients with acute ischemic stroke in the hospital posthyperacute/intensive care unit. In many instances, however, knowledge gaps exist, demonstrating the need for continued nurse-led research on care of the patient with acute ischemic stroke.

Mortality in older adults following a fragility fracture: real-world retrospective matched-cohort study in Ontario

BACKGROUND

Recent studies are lacking reports on mortality after non-hip fractures in adults aged > 65.

METHODS

This retrospective, matched-cohort study used de-identified health services data from the publicly funded healthcare system in Ontario, Canada, contained in the ICES Data Repository. Patients aged 66 years and older with an index fragility fracture occurring at any osteoporotic site between 2011 and 2015 were identified from acute hospital admissions, emergency and ambulatory care using International Classification of Diseases (ICD)-10 codes and data were analyzed until 2017. Thus, follow-up ranged from 2 years to 6 years. Patients were excluded if they presented with an index fracture occurring at a non-osteoporotic fracture site, their index fracture was associated with a trauma code, or they experienced a previous fracture within 5 years prior to their index fracture. This fracture cohort was matched 1:1 to controls within a non-fracture cohort by date, sex, age, geography and comorbidities. All-cause mortality risk was assessed.

RESULTS

The survival probability for up to 6 years post-fracture was significantly reduced for the fracture cohort vs matched non-fracture controls (p < 0.0001; n = 101,773 per cohort), with the sharpest decline occurring within the first-year post-fracture. Crude relative risk of mortality (95% confidence interval) within 1-year post-fracture was 2.47 (2.38-2.56) in women and 3.22 (3.06-3.40) in men. In the fracture vs non-fracture cohort, the absolute mortality risk within one year after a fragility fracture occurring at any site was 12.5% vs 5.1% in women and 19.5% vs 6.0% in men. The absolute mortality risk within one year after a fragility fracture occurring at a non-hip vs hip site was 9.4% vs 21.5% in women and 14.4% vs 32.3% in men.

CONCLUSIONS

In this real-world cohort aged > 65 years, a fragility fracture occurring at any site was associated with reduced survival for up to 6 years post-fracture. The greatest reduction in survival occurred within the first-year post-fracture, where mortality risk more than doubled and deaths were observed in 1 in 11 women and 1 in 7 men following a non-hip fracture and in 1 in 5 women and 1 in 3 men following a hip fracture.

Temporal and Age-Specific Trends in Acute Stroke Incidence: A 15-Year Population-Based Study of Administrative Data in Ontario, Canada

BACKGROUND

Contemporary data on temporal trends in acute stroke incidence, specific to stroke type and age, are lacking. We sought to evaluate temporal trends in incidence of ischemic stroke and intracerebral hemorrhage over 15 years in a large population.

METHODS

We used linked administrative data to identify all emergency department visits and hospital admissions for first-ever ischemic stroke or intracerebral hemorrhage in Ontario, Canada from 2003-2017. We evaluated annual age-/sex-standardized incidence per 100,000 person-years for ischemic stroke and intracerebral hemorrhage across the study period. We used negative binomial regression to determine incidence rate ratios for each year compared to 2003, with assessment of modification by age, sex, or stroke type.

RESULTS

Our cohort had 163,574 people with stroke (88% ischemic stroke). For ischemic stroke and intracerebral hemorrhage combined, age-/sex-standardized incidence decreased between 2003 and 2011 (standardized rate 109.4 to 85.8 per 100,000; 22%), then increased until 2017 (standardized rate 96.8 per 100,000; 13%). The pattern of change was similar for ischemic stroke and intracerebral hemorrhage, and for men and women, but was modified by age. For those aged 60 and above, adjusted incidence rate ratios decreased from 2003 to 2011 then subsequently increased, whereas for those aged <60 years incidence rate ratios increased throughout the entire study time period, particularly after 2011.

CONCLUSIONS

Acute stroke incidence decreased from 2003 to 2011 but subsequently increased until 2017. Among those aged <60, incidence increased continuously from 2003 to 2017 but especially after 2011. The underlying reasons for these changes should be determined.

Population-based stroke surveillance using big data: state-wide epidemiological trends in admissions and mortality in New South Wales, Australia

OBJECTIVES

Epidemiological trends for major causes of death and disability, such as stroke, may be monitored using administrative data to guide public health initiatives and service delivery.

METHODS

We calculated admissions rates for ischaemic stroke, intracerebral haemorrhage and subarachnoid haemorrhage between 1 January 2005 and December 31^st, 2013 and rates of 30-day mortality and 365-day mortality in 30-day survivors to 31 December 2014 for patients aged 15 years or older from New South Wales, Australia. Annual Average Percentage Change in rates was estimated using negative binomial regression.

RESULTS

Of 81,703 eligible admissions, 64,047 (78.4%) were ischaemic strokes and 13,302 (16.3%) and 4,778 (5.8%) were intracerebral and subarachnoid haemorrhages, respectively. Intracerebral haemorrhage admissions significantly declined by an average of 2.2% annually (95% Confidence Interval = -3.5% to -0.9%) (p < 0.001). Thirty-day mortality rates significantly declined for ischaemic stroke (Average Percentage Change -2.9%, 95% Confidence Interval = -5.2% to -1.0%) (p = 0.004) and subarachnoid haemorrhage (Average Percentage Change = -2.6%, 95% Confidence Interval = -4.8% to -0.2%) (p = 0.04). Mortality at 365-days amongst 30-day survivors of ischaemic stroke and intracerebral haemorrhage was stable over time and increased in subarachnoid haemorrhage (Annual Percentage Change 6.2%, 95% Confidence Interval = -0.1% to 12.8%), although not significantly (p = 0.05).

DISCUSSION

Improved prevention may have underpinned declining intracerebral haemorrhage rates while survival gains suggest that innovations in care are being successfully translated. Mortality in patients surviving the acute period is unchanged and may be increasing for subarachnoid haemorrhage warranting investment in post-discharge care and secondary prevention.

Time Trends in Survival Following First Hemorrhagic or Ischemic Stroke Between 1991 and 2015 in the Rotterdam Study

Background and Purpose—

The introduction of stroke units and the implementation of evidence-based interventions have been a breakthrough in the management of patients with stroke over the past decade. Survival following stroke is an important indicator in monitoring stroke burden. Recent data on survival by stroke subtype in the general population is scarce. We assessed (1) recent temporal time trends in survival; (2) age-standardized death rates; (3) survival probabilities at 6 months, 1, 2, and 3 years following first hemorrhagic or ischemic stroke.

Methods—

Within the population-based Rotterdam Study between 1991 and 2015, we assessed time trends in survival among 162 with first-ever hemorrhagic and 988 patients with first-ever ischemic stroke across 3 time periods (1991–1998; 1999–2007; 2008–2015) using time-varying Cox regression model and calculated age-standardized death rates according to the European 2010 census population.

Results—

In the hemorrhagic stroke group, a total of 144 deaths occurred during 386 person-years. Following a hemorrhagic stroke, we observed similar mortality rates over the years with 30 per 100 person-years in 2015 compared with 25/100 person-years in 1991. Similarly, compared with the earliest study period (1991–1998), mortality rates remained unchanged in the latest study period (2008–2015; hazard ratio, 0.97 [95% CI, 0.61–1.57]; P =0.93). In the ischemic stroke group, a total of 711 deaths occurred during 4897 person-years. We observed a decline in mortality rates in 2015 (11 per 100 person-years) compared with 1991 (29/100 person-years). This translated to favorable trends in the latest study period 2008 to 2015 (hazard ratio, 0.71 [95% CI, 0.56–0.90]; P <0.01).

Conclusions—

Survival following ischemic stroke has improved over the past decade, while no change was observed in survival following hemorrhagic stroke.

Developing an adapted Charlson comorbidity index for ischemic stroke outcome studies

Background

The Charlson comorbidity index (CCI) is commonly used to adjust for patient casemix. We reevaluated the CCI in an ischemic stroke (IS) cohort to determine whether the original seventeen comorbidities and their weights are relevant.

Methods

We identified an IS cohort (N = 6988) from the Ontario Stroke Registry (OSR) who were discharged from acute hospitals (N = 100) between April 1, 2012 and March 31, 2013. We used hospital discharge ICD-10-CA data to identify Charlson comorbidities. We developed a multivariable Cox model to predict one-year mortality retaining statistically significant (P < 0.05) comorbidities with hazard ratios ≥1.2. Hazard ratios were used to generate revised weights (1–6) for the comorbid conditions. The performance of the IS adapted Charlson comorbidity index (ISCCI) mortality model was compared to the original CCI using the c-statistic and continuous Net Reclassification Index (cNRI).

Results

Ten of the 17 Charlson comorbid conditions were retained in the ISCCI model and 7 had reassigned weights when compared to the original CCI model . The ISCCI model showed a small but significant increase in the c-statistic compared to the CCI for 30-day mortality (c-statistic 0.746 vs. 0.732, p = 0.009), but no significant increase in c-statistic for in-hospital or one-year mortality. There was also no improvement in the cNRI when the ISCCI model was compared to the CCI.

Conclusions

The ISCCI model had similar performance to the original CCI model. The key advantage of the ISCCI model is it includes seven fewer comorbidities and therefore easier to implement in situations where coded data is unavailable.

National trends in hospital admission, case fatality, and sex differences in atrial fibrillation-related strokes

BACKGROUND AND AIM

Atrial fibrillation is associated with increased risk of ischemic stroke and its global prevalence is increasing. We aimed to describe the contemporary temporal trends in hospital admissions, case fatality rate, as well as sex differences in atrial fibrillation-related stroke in Canada.

METHODS

We conducted a retrospective cohort study using Canadian national administrative data to identify admissions to hospital for stroke with comorbid atrial fibrillation between 1 April 2007 and 31 March 2016. We determined temporal trends in the crude and the age- and sex-standardized admission and case fatality rates. We also evaluated for any sex differences in these outcomes.

RESULTS

There were 222,100 admissions to hospital for ischemic (n = 182,990) or hemorrhagic (n = 39,110) stroke. Comorbid atrial fibrillation was present in 20.2% of admissions for ischemic strokes and 10.1% for hemorrhagic strokes. Over the study period, the age-sex adjusted proportion of admissions with atrial fibrillation increased from 16.3% to 20.5% (p = 0.02) for ischemic stroke and was stable for hemorrhagic stroke. In-hospital case fatality rate decreased for ischemic stroke with and without comorbid atrial fibrillation. Women aged 65 years and older with ischemic stroke were more likely to have comorbid atrial fibrillation compared to men, while this association was reversed in younger women. There were no sex differences in the case fatality rate for people with atrial fibrillation-related ischemic stroke.

CONCLUSION

Atrial fibrillation is present in an increasing proportion of people hospitalized in Canada with ischemic stroke and disproportionately affects older women. Renewed focus is needed on atrial fibrillation-related stroke prevention with particular attention to sex disparities.

Trends in chronic disease incidence rates from the Canadian Chronic Disease Surveillance System

INTRODUCTION

The Public Health Agency of Canada's Canadian Chronic Disease Surveillance System (CCDSS) produces population-based estimates of chronic disease prevalence and incidence using administrative health data. Our aim was to assess trends in incidence rates over time, trends are essential to understand changes in population risk and to inform policy development.

METHODS

Incident cases of diagnosed asthma, chronic obstructive pulmonary disease (COPD), diabetes, hypertension, ischemic heart disease (IHD), and stroke were obtained from the CCDSS online infobase for 1999 to 2012. Trends in national and regional incidence estimates were tested using a negative binomial regression model with year as a linear predictor. Subsequently, models with year as a restricted cubic spline were used to test for departures from linearity using the likelihood ratio test. Age and sex were covariates in all models.

RESULTS

Based on the models with year as a linear predictor, national incidence rates were estimated to have decreased over time for all diseases, except diabetes; regional incidence rates for most diseases and regions were also estimated to have decreased. However, likelihood ratio tests revealed statistically significant departures from a linear year effect for many diseases and regions, particularly for hypertension.

CONCLUSION

Chronic disease incidence estimates based on CCDSS data are decreasing over time, but not at a constant rate. Further investigations are needed to assess if this decrease is associated with changes in health status, data quality, or physician practices. As well, population characteristics that may influence changing incidence trends also require exploration.

Public hospitalizations for stroke in Brazil from 2009 to 2016

Background

Stroke is the third major cause of death in the world and the second in Brazil. The purpose of this work was to assess the stroke-related hospitalization, in-hospital mortality, and case fatality rates under the Brazilian Unified Health System (SUS) from 2009 to 2016.

Methods

We evaluated the hospital admissions for stroke and their associated outcomes using data from the Hospital Information available at the Informatics Department of SUS. We selected hospitalization registries according to stroke diagnosis codes from the International Statistical Classification of Diseases and Related Health Problems (ICD-10). We identified the association of age and sex with patient death through multiple logistic regression and calculated the rates of hospitalization, mortality and case-fatality per 100,000 inhabitants using age-adjustment methodology.

Results

We analyzed 1,113,599 stroke hospitalizations. From 2009 to 2016, the number of admissions increased from 131,122 to 146,950 and the absolute number of in-hospital deaths increased from 28,731 to 31,937. Younger age and male sex were significantly associated with patient survival. Our results showed that the annual age-adjusted hospitalization and in-hospital mortality rates decreased by 11.8% and 12.6%, respectively, but the case fatality rate increased for patients older than 70 years.

Conclusions

Although the age-adjusted hospitalization and in-hospital mortality rates declined, the total number of hospitalization and deaths have increased. It is expected a continuous increase over the next years of stroke admissions with the rapid aging of the Brazilian population. Efforts should be renewed targeting risk factors, access to hospital and rehabilitation in particular for the elderly population.

A comparison of trends in stroke care and outcomes between in-hospital and community-onset stroke - The South London Stroke Register

Background

Stroke care and outcomes have improved significantly over the past decades. It is unclear if patients who had a stroke in hospital (in-hospital stroke, IHS) experienced similar improvements to those who were admitted with stroke (community-onset stroke, COS).

Methods

Data from the South London Stroke Register were analysed to estimate trends in processes of care and outcomes across three cohorts (1995–2001, 2002–2008, 2009–2015). Kaplan-Meier survival curves were calculated for each cohort. Associations between patient location at stroke onset, processes of care, and outcomes were investigated using multiple logistic regression and Cox proportional hazards models.

Results

Of 5,119 patients admitted to hospital and registered between 1995 and 2015, 552(10.8%) had IHS. Brain imaging rates increased from 92.4%(COS) and 78.3%(IHS) in 1995–2001 to 100% for COS and IHS in 2009–2015. Rates of stroke unit admission rose but remained lower for IHS (1995–2001: 32.2%(COS) vs. 12.4%(IHS), 2002–2008: 77.1%(COS) vs. 50.0%(IHS), 2009–2015: 86.3%(COS) vs. 65.4%(IHS)). After adjusting for patient characteristics and case-mix, IHS was independently associated with lower rates of stroke unit admission in each cohort (1995–2001: OR 0.49, 95%CI 0.29–0.82, 2002–2008: 0.29, 0.18–0.45, 2009–2015: 0.22, 0.11–0.43). In 2009–2015, thrombolysis rates were lower for ischaemic IHS (17.8%(COS) vs. 13.8%(IHS)). Despite a decline, in-hospital mortality remained significantly higher after IHS in 2009–2015 (13.7%(COS) vs. 26.7%(IHS)). Five-year mortality rates declined for COS from 58.9%(1995–2001) to 35.2%(2009–2015) and for IHS from 80.8%(1995–2001) to 51.1%(2009–2015). In multivariable analysis, IHS was associated with higher mortality over five years post-stroke in each cohort (1995–2001: HR 1.27, 95%CI 1.03–1.57, 2002–2008: 1.24, 0.99–1.55, 2009–2016: 1.39, 0.95–2.04).

Conclusions

Despite significant improvements for IHS patients similar to those for COS patients, rates of stroke unit admission and thrombolysis remain lower, and short- and long-term outcomes poorer after IHS. Factors preventing IHS patients from entering evidence-based stroke-specific hospital pathways in a timely fashion need further investigation.

Intracranial hemorrhage in neonates: A review of etiologies, patterns and predicted clinical outcomes

Intracranial hemorrhage (ICH) in neonates often results in devastating neurodevelopmental outcomes as the neonatal period is a critical window for brain development. The neurodevelopmental outcomes in neonates with ICH are determined by the maturity of the brain, the location and extent of the hemorrhage, the specific underlying etiology and the presence of other concomitant disorders. Neonatal ICH may result from various inherited and acquired disorders. We classify the etiologies of neonatal ICH into eight main categories: (1) Hemorrhagic stroke including large focal hematoma, (2) Prematurity-related hemorrhage, (3) Bleeding diathesis, (4) Genetic causes, (5) Infection, (6) Trauma-related hemorrhage, (7) Tumor-related hemorrhage and (8) Vascular malformations. Illustrative cases showing various imaging patterns that can be helpful to predict clinical outcomes will be highlighted. Potential mimics of ICH in the neonatal period are also reviewed.

Use of Hospitals by Older versus Younger Canadians: Myths and Misconceptions

ABSTRACTThis study investigated concerns regarding the extensive use of hospitals by older people and subsequent long wait lists. We analysed complete individual-anonymous, 2014-2015 inpatient hospital data for all Canadian provinces and territories (except Quebec). People aged 65 and older accounted for 37.0 per cent of all hospital episodes and 41.5 per cent of all admissions to intensive or coronary care units. Similarly, of all admitted individuals, 32.8 per cent were older. The data also revealed only 14.3 per cent of older Canadians living outside of Quebec were admitted to hospital one or more times that year. This study indicates that issues other than hospital use by older people should be addressed in Canada for improved hospital accessibility. Improved care of older persons is also indicated, as their higher risk of hospital admission, longer hospital stays, and dying in hospital could be from a lack of age-informed hospital and community services.

Shifting Trend of Transient Ischemic Attack Admission and Prognosis in Canada

BACKGROUND

Stroke is often preceded by transient symptoms. Although global stroke rates have been shown to be declining, previous studies have reported inconsistent temporal trends of transient ischemic attacks (TIA). The objective of the current study is to report the temporal trends of TIA admissions and outcomes in Canada over the last 11 years.

METHODS

We conducted a complete population cohort study using a national administrative database to study the temporal trend of age- and sex-adjusted TIA admission rates in Canada from 2003 to 2013. We also determined the rates of TIA and stroke diagnoses in the emergency department in the province of Ontario during the same period. We used multivariable analyses to study discharge location after acute hospitalization as well as 90-day stroke and/or TIA readmission rates.

RESULTS

Of 425,799 admissions to an acute care hospital for all stroke and TIA, 71,443 (16.8%) were TIA. The age- and sex-standardized rates of TIA admission decreased significantly during the study period from 30.0 to 20.6 per 100,000 (p<0.0001). In Ontario, decreasing TIA admissions is mirrored by decreasing rates of TIA directly discharged from the emergency department (55.1 to 46.8 per 100,000, p = 0.002). The odds of 90-day readmission rates for stroke or TIA are also decreasing (adjusted odds ratio, 0.97; 95% confidence interval, 0.96-0.99).

CONCLUSIONS

We show that TIA admission rates have declined in the past 11 years in Canada, reflecting improved vascular risk reduction and stroke care. Future studies to confirm our findings on improved stroke or TIA recurrence rates are necessary.

Administrative data underestimate acute ischemic stroke events and thrombolysis treatments: Data from a multicenter validation survey in Italy

Background

Informing health systems and monitoring hospital performances using administrative data sets, mainly hospital discharge data coded according to International-Classification-Diseases-9edition-Clinical-Modifiers (ICD9-CM), is now commonplace in several countries, but the reliability of diagnostic coding of acute ischemic stroke in the routine practice is uncertain. This study aimed at estimating accuracy of ICD9-CM codes for the identification of acute ischemic stroke and the use of thrombolysis treatment comparing hospital discharge data with medical record review in all the six hospitals of the Florence Area, Italy, through 2015.

Methods

We reviewed the medical records of all the 3915 potential acute stroke events during 2015 across the six hospitals of the Florence Area, Italy. We then estimated sensitivity and Positive Predictive Value of ICD9-CM code-groups 433*1, 434*1 and thrombolysis code 99.10 against medical record review with clinical adjudication. For each false-positive case we obtained the actual diagnosis. For each false-negative case we obtained the primary and secondary ICD9-CM diagnoses.

Results

The medical record review identified 1273 acute ischemic stroke events. The hospital discharge records identified 898 among those (true-positive cases),but missed 375 events (false-negative cases), and identified 104 events that were not eventually confirmed as acute ischemic events (false-positive cases). Code-group specific Positive Predictive Value was 85.7% (95%CI,74.6–93.3) for 433*1 and 89.9% (95%CI, 87.8–91.7) for 434*1 codes. Thrombolysis treatment, as identified by ICD9-CM code 99.10, was only documented in 6.0% of acute ischemic stroke events, but was 13.6% in medical record review.

Conclusions

Hospital discharge data were found to be fairly specific but insensitive in the reporting of acute ischemic stroke and thrombolysis, providing misleading indications about both quantity and quality of acute ischemic stroke hospital care. Efforts to improve coding accuracy should precede the use of hospital discharge data to measure hospital performances in acute ischemic stroke care.

Sex Differences in Outcomes after Stroke in Patients with Diabetes in Ontario, Canada

BACKGROUND

Outcomes after stroke in those with diabetes are not well characterized, especially by sex and age. We sought to calculate the sex- and age-specific risk of cardiovascular outcomes after ischemic stroke among those with diabetes.

METHODS

Using population-based demographic and administrative health-care databases in Ontario, Canada, all patients with diabetes hospitalized with index ischemic stroke between April 1, 2002, and March 31, 2012, were followed for death, stroke, and myocardial infarction (MI). The Kaplan-Meier survival analysis and Fine-Gray competing risk models estimated hazards of outcomes by sex and age, unadjusted and adjusted for demographics and vascular risk factors.

RESULTS

Among 25,495 diabetic patients with index ischemic stroke, the incidence of death was higher in women than in men (14.08 per 100 person-years [95% confidence interval [CI], 13.73-14.44] versus 11.89 [11.60-12.19]) but was lower after adjustment for age and other risk factors (adjusted hazard ratio [HR], .95 [.92-.99]). Recurrent stroke incidence was similar by sex, but men were more likely to be readmitted for MI (1.99 per 100 person-years [1.89-2.10] versus 1.58 [1.49-1.68] among females). In multivariable models, females had a lower risk of readmission for any event (HR, .96 [95% CI, .93-.99]).

CONCLUSIONS

In this large, population-based, retrospective study among diabetic patients with index stroke, women had a higher unadjusted death rate but lower unadjusted incidence of MI. In adjusted models, females had a lower death rate compared with males, although the increased risk of MI among males persisted. These findings confirm and quantify sex differences in outcomes after stroke in patients with diabetes.

Stroke recurrence among South Asians with diabetes in Ontario, Canada

Background South Asians have more vascular risk factors, earlier cardiovascular disease onset, and higher stroke mortality than non-South Asians. However, ethnic differences in long-term outcomes post-stroke in diabetics are unclear. Aims We compared cardiovascular outcome risk after first ischemic stroke between South Asian and non-South Asian diabetics. Methods Using population-based health care databases in Ontario, Canada, we selected all patients with diabetes hospitalized with first ischemic stroke between 1 April 2002 and 31 March 2012, and assigned South Asian versus non-South Asian ethnicity using a validated surname algorithm. Kaplan-Meier survival analysis estimated survival functions, and competing risk models estimated hazards of death, stroke, and myocardial infarction. The primary predictor was ethnicity, and models were adjusted for demographics and vascular risk factors. Sensitivity analysis including adjustment for medication use was performed in those aged ≥65 years. Results There were 25,495 diabetics with first ischemic stroke; 840 were South Asian. South Asians were younger, more often male, had lower income, and had shorter Ontario residency compared to non-South Asians. South Asians had higher incidence and cumulative risk of recurrent stroke. In fully adjusted competing risk models, recurrent stroke rate was increased among South Asians compared to non-South Asians (HR 1.17 [95% CI 1.00-1.38]) in the whole cohort and in those aged ≥65 years, both with adjustment for medication use (HR 1.23 [1.01-1.50]) and without (1.27 [1.04-1.54]). Conclusions In this large population-based study, South Asian diabetic stroke patients had higher recurrent stroke rates compared to non-South Asians, despite a younger age profile. Further research is needed to reduce stroke burden in South Asians.