Stroke care and case fatality in people with and without schizophrenia: a retrospective cohort study.

BACKGROUND: Schizophrenia is associated with an increased risk of death following stroke; however, the magnitude and underlying reasons for this are not well understood.
OBJECTIVE: To determine the association between schizophrenia and stroke case fatality, adjusting for baseline characteristics, stroke severity and processes of care.
DESIGN: Retrospective cohort study used linked clinical and administrative databases.
SETTING: All acute care institutions (N=152) in the province of Ontario, Canada. PARTICIPANTS: All patients (N=52 473) hospitalised with stroke between 1 April 2002 and 31 March 2013 and included in the Ontario Stroke Registry. Those with schizophrenia (n=612) were identified using validated algorithms. MAIN OUTCOMES AND MEASURES: We compared acute stroke care in those with and without schizophrenia and used Cox proportional hazards models to examine the association between schizophrenia and mortality, adjusting for demographics, comorbidity, stroke severity and processes of care.
RESULTS: Compared with those without schizophrenia, people with schizophrenia were less likely to undergo thrombolysis (10.1% vs 13.4%), carotid imaging (66.3% vs 74.0%), rehabilitation (36.6% vs 46.6% among those with disability at discharge) or be treated with antihypertensive, lipid-lowering or anticoagulant therapies. After adjustment for age and other factors, schizophrenia was associated with death from any cause at 1 year (adjusted HR (aHR) 1.33, 95% CI 1.14 to 1.54). This was mainly attributable to early deaths from stroke (aHR 1.47, 95% CI 1.20 to 1.80, with survival curves separating in the first 30 days), and the survival disadvantage was particularly marked in those aged over 70 years (1-year mortality 46.9% vs 35.0%).
CONCLUSIONS: Schizophrenia is associated with increased stroke case fatality, which is not fully explained by stroke severity, measurable comorbid conditions or processes of care. Future work should focus on understanding this mortality gap and on improving acute stroke and secondary preventive care in people with schizophrenia. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Large, population-based sample with detailed clinical information on stroke characteristics and processes of care.

Complete follow-up for outcome events through administrative data.

Lack of information on some potential explanatory variables such as medication adherence and postdischarge care.

Introduction

Stroke is a leading cause of death and disability worldwide.1 Schizophrenia and other serious mental illnesses are associated with an increased risk of stroke, other cardiovascular diseases and cardiovascular mortality.2–4 This appears to be in part attributable to a higher prevalence of vascular risk factors including diabetes, obesity and smoking.5–8 Antipsychotic use, common in schizophrenia, is also associated with metabolic syndrome, cardiovascular disease and stroke incidence.9

The association between schizophrenia and stroke case fatality is less well understood, with some studies suggesting an increase3 10 11 and others no difference12 or a decrease13 in poststroke mortality in those with schizophrenia. Prestroke antipsychotic use has been associated with an increased risk of severe stroke, which in turn could contribute to poststroke mortality in those with schizophrenia.14 Following myocardial infarction, the excess mortality observed in people with schizophrenia is in part explained by lower use of guideline-recommended interventions and medications.15–20 Previous research suggests that people with schizophrenia are also less likely to receive interventions for acute stroke care and secondary prevention,12 but it is not known whether such differences in care explain variations in stroke case fatality.

We used linked province-wide registry and administrative data to answer the research question of whether stroke presentation, processes of care and case fatality after stroke differed in people with and without schizophrenia. We hypothesised that schizophrenia would be associated with stroke case fatality and that differences in baseline characteristics and processes of care would account for this.

Methods

Setting, data sources and study sample

Ontario is Canada’s most populous province, with an estimated population of 13 million people at the time of this study.21 All residents have coverage for hospital and physician services.

The Ontario Stroke Registry collects detailed clinical information on a simple random sample of all people with stroke or transient attack seen in the emergency department or admitted to any acute care hospital in the province.22 This sampling minimises the biases associated with data collection from selected facilities and/or patient groups.23 Data collection is done by trained research personnel with the diagnosis of stroke confirmed by review of the chart and imaging results, and built-in data quality checks and programming ensure that there are no missing values. Validation by duplicate chart abstraction has shown excellent agreement for key variables.22

Our study cohort consisted of all adult (age ≥18 years) patients hospitalised with acute stroke between 1 April 2002 and 31 March 2013 and included in the Ontario Stroke Registry. The registry provided detailed patient-level information on stroke presentation and severity, comorbid conditions, processes of care and disability at discharge.

We linked registry data to population-based administrative databases using unique, encoded identifiers. To identify people with schizophrenia, we linked to the Canadian Institute for Health Information Discharge Abstract Database and the physician claims database. We defined schizophrenia in patients with any of the following: (1) a primary diagnosis of schizophrenia or schizoaffective disorder during a general hospital admission (using International Classification of Diseases, 10th revision (ICD-10) codes F20 or F25); (2) a primary diagnosis of schizophrenia from a psychiatric hospital bed (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, 295 .x); or (3) three outpatient visits with a diagnosis of schizophrenia (ICD-9–295) from outpatient physician billings within a 3-year period. Each of these criteria was applied from 1988 onward. This diagnostic algorithm has a sensitivity of 97% and a specificity of 65% for the diagnosis of schizophrenia.24

We used the 2006 Canada Census to provide information on median neighbourhood income and the Discharge Abstract Database to identify hospitalisations for recurrent stroke or transient ischaemic attack (TIA), using validated ICD-10 codes I60, I61, I63, I64, H34.0, H34.1 and G45 (excluding G45.4).25 We used the Ontario Registered Persons Database to identify deaths, with cause of death obtained from the provincial register that assigns cause of death based on death certificates, and with stroke deaths identified as those with ICD-10 codes I60–I69 as the primary cause of death.

Outcomes

The primary outcome was all-cause mortality within 1 year of stroke. Secondary outcomes were all-cause mortality at 30 days, death due to stroke at 1 year, disability at discharge (defined as a modified Rankin Scale (mRS) score of 3–5), and recurrent stroke hospitalisation within 30 days and 1 year of discharge from the index event. We also evaluated the following processes of care: arrival by ambulance, time from ‘last seen normal’ to hospital arrival, neuroimaging, dysphagia screening, delivery of care on a dedicated stroke unit, admission to intensive care unit (ICU), tracheostomy, placement of permanent feeding tube, a palliative approach to care and discharge to inpatient rehabilitation.

In the subgroup of patients with ischaemic stroke, we also evaluated use of carotid imaging, thrombolysis, door-to-needle time in those receiving thrombolysis and prescription of antithrombotic, and antihypertensive and lipid-lowering therapy at discharge. Among those who did not receive thrombolysis, we explored reasons why it was not given, categorised as arrival too late, contraindications, symptom severity, delays in decision-making, other physician decision or no reason documented. We did not evaluate use of endovascular thrombectomy, which was not in widespread use during the study time frame.

Analysis

We compared baseline characteristics and processes of care for people with stroke with and without schizophrenia, using standardised differences of the mean, which, unlike traditional hypothesis testing with p values, are not sensitive to large sample sizes.26 We used a Cox proportional hazard model to estimate the effect of schizophrenia on the hazard of death. We then sequentially introduced covariates into the model as follows: (1) demographics (age and sex); (2) socioeconomic factors (neighbourhood income and rural residence); (3) clinical presentation (stroke type and severity); (4) comorbid conditions (smoking, diabetes, hyperlipidaemia, hypertension and prior stroke); (5) processes of care (brain imaging and stroke unit care); and (6) life-sustaining interventions (ICU admission, tracheostomy and permanent feeding tube). We repeated these models in the subgroup with ischaemic stroke, with the addition of the following covariates: (1) thrombolysis, (2) lipid-lowering therapy, (3) antihypertensive medications and (4) antithrombotic therapy. We then repeated these analyses for the outcome of death due to stroke, with cumulative incidence functions used to estimate the incidence of death due to stroke over time in people with and without schizophrenia, with death from other causes treated as a competing risk. In preliminary analyses, the proportional hazards assumption was violated for the all-cause mortality models in the ischaemic stroke subcohort and weakly violated the assumption in the main cohort. We addressed this by estimating time-varying HRs using restricted cubic splines and modelling time–covariate interactions.27 This allowed for an investigation of the shape of a possible covariate–time dependence without having to specify a specific functional form.

ICES (formerly known as the Institute for Clinical Evaluative Sciences) is an independent, non-profit research institute whose legal status under Ontario’s health information privacy law allows it to collect and analyse healthcare and demographic data, without consent, for health system evaluation and improvement. Datasets used in this project were linked using unique encoded identifiers and analysed at ICES. The lead author affirms that the manuscript is an honest, accurate and transparent account of the study being reported.

Results

We studied 52 473 patients hospitalised with acute stroke, of whom 612 (1.2%) had schizophrenia. Compared with those without schizophrenia, people with schizophrenia were younger at the time of stroke (median age 66 vs 74 years), less likely to be independent prior to stroke (44.9% vs 66.7%) and more likely to reside in a long-term care facility (19.3% vs 5.1%) or to live in a low-income neighbourhood (39.2% vs 22.9%) (table 1). Those with schizophrenia were also less likely to have a documented prestroke history of hypertension (58.3% vs 63.7%), hyperlipidaemia (30.2% vs 35.0%), atrial fibrillation (8.8% vs 16.8%), coronary artery disease (17.3% vs 21.6%) or cancer (4.7% vs 7.8%), but more likely to have diabetes (31.0% vs 23.7%), cognitive impairment (17.6% vs 8.7%) or to smoke cigarettes (28.3% vs 16.5%) (standardised difference of the mean (std. diff.)>0.10 for all comparisons, table 1). Stroke type was similar in those with and without schizophrenia, but those with schizophrenia were less likely to present with mild stroke (54.7% vs 60.9%).

Table 1

Baseline characteristics of people with stroke, with and without schizophrenia

	Schizophrenian=612	No schizophrenian=51 861	Std. diff.
Age (years), median (IQR)	66 (56–77)	74 (62–82)	0.45
Female, n (%)	323 (52.8)	25 552 (49.3)	0.07
Independent prior to admission, n (%)	275 (44.9)	34 604 (66.7)	0.45
Long-term care, n (%)	118 (19.3)	2632 (5.1)	0.45
Lowest neighbourhood income quintile, n (%)	240 (39.2)	11 860 (22.9)	0.36
Rural residence, n (%)	45 (7.4)	6599 (12.7)	0.18
Hypertension, n (%)	357 (58.3)	33 051 (63.7)	0.11
Hyperlipidaemia, n (%)	185 (30.2)	18 129 (35.0)	0.10
Diabetes, n (%)	190 (31.0)	12 304 (23.7)	0.16
Atrial fibrillation, n (%)	54 (8.8)	8714 (16.8)	0.24
Coronary artery disease, n (%)	106 (17.3)	11 211 (21.6)	0.11
Prior stroke, n (%)	126 (20.6)	8992 (17.3)	0.08
Cancer, n (%)	29 (4.7)	4035 (7.8)	0.13
Dementia/cognitive impairment, n (%)	108 (17.6)	4502 (8.7)	0.27
Current smoking, n (%)	173 (28.3)	8563 (16.5)	0.28
Stroke type, n (%)
Ischaemic	496 (81.0)	40 734 (78.5)	0.06
Haemorrhagic	116 (19.0)	11 127 (21.5)	0.06
Stroke severity, n (%)
Mild (CNS>8)	335 (54.7)	31 605 (60.9)	0.13
Moderate (CNS 4–8)	128 (20.9)	8746 (16.9)	0.10
Severe (CSN<4)	149 (24.3)	11 510 (22.2)	0.05

CNS: lower scores indicate more severe strokes.

Std. diff: values of >0.10 are considered to represent a meaningful difference.

CNS, Canadian Neurological Scale; std. diff., standardised difference of the mean.

People with schizophrenia were more likely to arrive by ambulance (79.9% vs 72.2%) but had a longer median time from symptom onset to hospital arrival (7.7 vs 5.8 hours). Those with schizophrenia were also more likely to be screened for dysphagia (59.0% vs 54.0%), but there were no significant differences in the use of stroke unit care, ICU admission or palliative care (table 2).

Table 2

Presentation and processes of care in people with acute stroke with and without schizophrenia

	Schizophrenian=612	No schizophrenian=51 861	Std. diff.
Arrival by ambulance, n (%)	489 (79.9)	37 424 (72.2)	0.18
Time from symptom onset to ED arrival (hours), median (IQR)	7.7 (1.8–22.2)	5.8 (1.5–20.0)	0.11
Dysphagia screening, n (%)	361 (59.0)	28 022 (54.0)	0.10
Stroke unit care, n (%)	281 (45.9)	23 717 (45.7)	0.004
Intensive care unit admission, n (%)	126 (20.6)	11 499 (22.2)	0.04
Palliative approach to care, n (%)	102 (16.7)	7398 (14.3)	0.07
Subgroup with ischaemic stroke, N	496	40 734
Carotid imaging – n (%)	329 (66.3)	30 157 (74.0)	0.17
Thrombolysis given -n (%)	50 (10.1)	5477 (13.4)	0.10
Reason thrombolysis not given - %
Arrival too late	51.6	52.1	0.01
Contraindication	10.5	10.0	0.02
Symptoms too mild	21.3	28.5	0.17
Symptoms too severe	5.4	4.4	0.05
Other physician decision	11.0	8.7	0.08
Delayed decision	2.2	3.1	0.05
No reason documented	10.3	8.4	0.07
Subgroup with ischaemic stroke alive at discharge, N	433	36 331
Antihypertensive therapy prescribed, n (%)	285 (65.8)	26 966 (74.2)	0.18
Lipid-lowering therapy prescribed, n (%)	270 (62.4)	24 690 (68.0)	0.12
Antiplatelet therapy, n (%)	344 (79.4)	28 119 (77.4)	0.05
Anticoagulation (in subgroup with atrial fibrillation), n/N (%)	40/67 (59.7)	6430/8971 (71.7)	0.25

Std. diff.: values of >0.10 are considered to represent a meaningful difference.

ED, emergency department; std. diff., standardised difference of the mean.

In the subgroup with ischaemic stroke, people with schizophrenia were less likely to undergo thrombolysis (10.1% vs 13.4%), carotid imaging (66.3% vs 74.0%), antihypertensive therapy (65.8% vs 74.2%), lipid-lowering therapy (62.4% vs 68.0%) and anticoagulation for atrial fibrillation (59.7% vs 71.7%) (std. diff.≥0.10 for all comparisons, table 2). The reasons for not using thrombolysis were similar between groups.

We found no differences in length of stay or death or recurrent stroke/TIA hospitalisation in those with and without schizophrenia (table 3). However, people with schizophrenia were more likely to be disabled at discharge (mRS score of 3–5, 54.3% vs 46.9%) yet less likely to be discharged to inpatient rehabilitation facilities (36.6% vs 46.6% in the disabled subgroup) (table 3).

Table 3

Outcomes after acute stroke in people with and without schizophrenia

	Schizophrenian=612	No schizophrenian=51 861	Std. diff.
Length of stay (days), median (IQR)	7 (3–15)	7 (3–14)	0.06
Disabled at discharge (mRS score 3–5), n (%)	325 (54.3)	23 856 (46.9)	0.15
In-hospital death, n (%)	95 (15.9)	7532 (14.8)	0.03
Mortality at 30 days, n (%)
All-cause	118 (19.3)	8602 (16.6)	0.07
Due to stroke	79 (12.9)	5288 (10.2)	0.08
Non-stroke CV disease	23 (3.8)	1987 (3.8)	0.00
Other	16 (2.6)	1327 (2.6)	0.00
Mortality at 1 year, n (%)
All-cause	172 (28.1)	13 894 (26.8)	0.03
Due to stroke	93 (15.2)	6893 (13.3)	0.05
Non-stroke CV disease	41 (6.7)	3340 (6.4)	0.01
Other	38 (6.2)	3661 (7.1)	0.03
Subgroup aged ≥70 years, N	228	30 294
Mortality at 30 days, n (%)
All-cause	71 (31.1)	6322 (20.9)	0.24
Due to stroke	46 (20.2)	3856 (12.7)	0.20
Non-stroke CV disease	17 (7.5)	1565 (5.2)	0.09
Other	8 (3.5)	901 (3.0)	0.03
Mortality at 1 year, n (%)
All-cause	107 (46.9)	10 604 (35.0)	0.24
Due to stroke	56 (24.6)	5196 (17.2)	0.18
Non-stroke CV disease	30 (13.2)	2725 (9.0)	0.13
Other	21 (9.2)	2683 (8.9)	0.01
Subgroup alive at discharge, N	517	44 330
Discharge to rehabilitation, n (%)	137 (26.5)	12 966 (29.2)	0.17
If mRS score 0–2, n/N (%)	15/178 (8.4)	1658/19440 (8.5)	0.004
If mRS score 3–5, n/N (%)	119/325 (36.6)	11113/23856 (46.6)	0.20
Recurrent stroke/TIA within 30 days	15 (2.9)	1192 (2.7)	0.01
Recurrent stroke/TIA within 1 year	34 (6.7)	3096 (7.1)	0.02

mRS: higher scores indicate more disability.

Std. diff.: values of >0.10 are considered to represent a meaningful difference.

mRS, modified Rankin Scale; std. diff., standardised difference of the mean; TIA, transient ischaemic attack.

Crude all-cause mortality was similar in those with and without schizophrenia at 30 days (19.3% vs 16.6%) and 1 year (28.1% vs 26.8%) (table 3). However, after adjustment for age, sex, stroke severity, stroke type, area of residence, comorbid conditions and processes of care, schizophrenia was associated with an increased 1-year hazard of both all-cause mortality (adjusted HR (aHR) 1.33, 95% CI 1.14 to 1.54, c-statistic 0.78) and mortality due to stroke (aHR 1.47, 95% CI 1.20 to 1.80, c-statistic 0.82), with survival curves separating in the first month after the index stroke (table 4, figure 1 and online supplemental figure, the latter confirming time-varying HRs revealed by restricted cubic spline modelling; fully adjusted models are shown in online supplemental table). There was an interaction between age and schizophrenia, with the hazard of death associated with schizophrenia mainly seen in those aged 70 years and older (figure 2). In the subgroup aged over 70 years, people with schizophrenia had higher all-cause mortality at 30 days (31.1% vs 20.9%; std. diff. 0.24) and 1 year (46.9% vs 35.0%, std. diff. 0.24) with the majority of deaths due to stroke rather than other causes (table 3).

Table 4

Effect of sequential risk adjustment on the hazard of 1-year stroke case fatality associated with schizophrenia

Adjustment	All-cause mortalityHR (95% CI)	Death due to strokeHR (95% CI)	Non-stroke deathHR (95% CI)
–	1.08(0.93 to 1.25)	1.16(0.94 to 1.42)	0.98(0.78 to 1.22)
Age and sex	1.39(1.19 to 1.61)	1.46(1.19 to 1.79)	1.31(1.05 to 1.63)
Age and sex+income quintile, rural residence	1.38(1.19 to 1.60)	1.46(1.19 to 1.80)	1.28(1.03 to 1.60)
Age and sex+income quintile and rural residence+stroke type and stroke severity	1.31(1.13 to 1.52)	1.40(1.14 to 1.72)	1.21(0.97 to 1.52)
Age and sex+income quintile and rural residence+stroke type and stroke severity+smoking, diabetes, hyperlipidaemia, hypertension, prior stroke	1.27(1.10 to 1.48)	1.37(1.12 to 1.68)	1.17(0.94 to 1.46)
Age and sex+income quintile and rural residence+stroke type and stroke severity+smoking, diabetes, hyperlipidaemia, hypertension, prior stroke+brain imaging within 1 hour of arrival, care on stroke unit	1.31(1.13 to 1.52)	1.44(1.17 to 1.77)	1.18(0.95 to 1.48)
Age and sex+income quintile and rural residence+stroke type and stroke severity+smoking, diabetes, hyperlipidaemia, hypertension, prior stroke+brain imaging within 1 hour of arrival, care on stroke unit+intensive care unit admission, tracheostomy, feeding tube	1.33(1.14 to 1.54)	1.47(1.20 to 1.80)	1.19(0.95 to 1.48)

HR ratio for schizophrenia (n=612) vs no schizophrenia (n=51 861). Hazard of death due to stroke accounts for the competing risk of death from other causes.

Figure 1

(A) Cumulative incidence of death due to stroke in people with and without schizophrenia. (B) Cumulative incidence of non-stroke death in people with and without schizophrenia.

Figure 2

Survival after stroke in people with and without schizophrenia, by age group.

Discussion

In this population-based cohort study of people hospitalised with acute stroke, we found that while many processes of acute stroke care were similar between groups, schizophrenia was associated with delays in presentation and lower use of thrombolysis, vascular imaging, rehabilitation and medications for secondary prevention. Schizophrenia was also associated with a 33% increase in the hazard of 1-year poststroke mortality, even after adjustment for age, sex, stroke type, stroke severity, comorbid conditions and processes of care, and this appeared to be mainly attributable to early deaths due to stroke in older patients.

Our findings of a younger age at stroke presentation and baseline differences in the prevalence of vascular risk factors in those with and without schizophrenia are consistent with previous studies of cardiovascular disease and risk factors in people with severe mental illness.5 6 17 28 29 Schizophrenia is associated with an increased prevalence of smoking, diabetes, obesity and hyperlipidaemia, as well as use of antipsychotic medications that increase the risk of metabolic syndrome.30 31 Screening and management of these conditions have been promoted for the primary prevention of cardiovascular disease in people with schizophrenia, especially those on second-generation antipsychotic agents; however, screening rates remain suboptimal in many populations,31–34 as do efforts to manage these risk factors among individuals with schizophrenia.35 36 We cannot determine whether the lower prevalence of hypertension, hyperlipidaemia, atrial fibrillation and cardiovascular disease among people with schizophrenia in our cohort is due to a younger age at presentation or under-recognition of these conditions due to a lack of screening and preventive care.

It warrants mention that the prevalence of schizophrenia in our stroke cohort (1.2%) was similar to that in the general population, despite the increased risk of stroke associated with schizophrenia.37 Our finding that people with schizophrenia were less likely than those without to present with minor strokes suggests that there may be differences in care-seeking behaviour or challenges in making a diagnosis of stroke in people with less obvious stroke symptoms and concomitant schizophrenia, and that this group with minor strokes may be under-represented in our cohort. If true, this would represent a missed opportunity for care in people with schizophrenia and stroke, as minor strokes can be associated with disability, and secondary preventive care can prevent more major disabling strokes in the future.38 39

Our findings of lower use of thrombolysis, rehabilitation, carotid imaging and medications for secondary stroke prevention are consistent with previous studies where schizophrenia has been associated with lower use of various interventions after stroke11 40–42 and myocardial infarction.15 16 19 A better understanding of the reasons behind these differences in care will be important to ensuring that people with schizophrenia have equal opportunities to receive appropriate treatment for cardiovascular disease.

We found that schizophrenia was associated with a striking 33% increase in the adjusted hazard of all-cause mortality at 1 year and a 47% increase in the hazard of stroke mortality, with survival curves separating in the first month after stroke. Those with schizophrenia had greater stroke severity, the most important driver of early case fatality, compared with those without schizophrenia; however, the mortality difference persisted after adjustment for stroke severity. A similar association between schizophrenia and case fatality after myocardial infarction appears to be in part explained by differences in revascularisation and other processes of care15–17 19 20 43–45; however, the observed association between schizophrenia and stroke case fatality in our study persisted after adjustment for processes of care, comorbid conditions and area of residence. Of note, the survival disadvantage associated with schizophrenia was primarily seen in the older age groups, in contrast to a study from Hong Kong which found that the association between schizophrenia and stroke case fatality was greater in those aged under 65 years.10 Further work is needed to understand the reasons for increased mortality in different age groups and to identify potential interventions to address this.

Some limitations of our study warrant emphasis. We did not have information on the severity or duration of schizophrenia, which would be helpful for identifying subgroups of people with schizophrenia at particularly high risk for adverse outcomes. We did not study exposure to antipsychotic medications, as this information was not available for our entire study cohort. This is an important limitation because antipsychotic use, particularly second-generation antipsychotics, are associated with a twofold increased risk of stroke among individuals with schizophrenia.9 Our data sources did not provide information regarding the severity or control of risk factors such as diabetes or hypertension, on other vascular risk factors such as obesity and physical activity, or on factors such as medication adherence or postdischarge care. We included only people hospitalised with stroke, and thus we do not know if the higher observed stroke severity in people with schizophrenia was due to differences in care-seeking behaviour, with people with schizophrenia and minor stroke symptoms less likely to present to hospital than those without schizophrenia. Finally, our study was conducted in a province with universal access to physician and hospital services and may not be generalisable to other settings. Despite these limitations, our large, population-based sample with detailed clinical information and complete follow-up through administrative data is likely to provide valid results on the risks and contributors to death after stroke in people with and without schizophrenia.

In summary, we found that schizophrenia is associated with deficiencies in some aspects of poststroke care, as well as a substantial increase in stroke case fatality, which is not fully explained by differences in baseline factors or processes of care. Future work should focus on collaborative efforts among psychiatrists, clinicians with expertise in cardiovascular disease, patients and other stakeholders to understand the reasons for these differences and to develop interventions to improve cardiovascular care and outcomes in people with schizophrenia and other psychotic disorders.