Lower mortality among stroke patients with schizophrenia: a nationwide population-based study

Low Bone Mineral Density as a Predictor of Mortality and Infections in Stroke Patients: A Hospital-Based Study

CONTEXT

Low bone mineral density (BMD) has been linked to elevated risks of mortality and infections in the general population; however, its association with these outcomes in stroke patients remains unclear.

OBJECTIVE

This study aims to investigate the correlation between low BMD and risks of mortality and infections among stroke patients in a Taiwanese cohort.

METHODS

In this single-center retrospective cohort study, 905 stroke patients from a Taiwanese database (2000-2022) were analyzed. Patients were grouped based on BMD measurements of the femur and spine. The primary outcome was all-cause mortality, and secondary outcomes included urinary tract infection (UTI) and pneumonia. Accelerated failure time regression model analyses evaluated the association between BMD and these outcomes, while the Kaplan-Meier method and log-rank test assessed survival differences between groups.

RESULTS

Among the participants (average age 76.1 years, 70.5% female), 33.82% had osteopenia and 55.25% had osteoporosis. Stroke patients with lower spine and right femur BMD had significantly reduced survival rates, especially when the BMD value fell below 0.842 g/cm2 (spine), and 0.624 g/cm2 (right femur), respectively. Regarding secondary outcomes, lower spine BMD was significantly associated with an increased risk of UTI.

CONCLUSION

Low BMD, particularly in the femur and spine, is a significant predictor of mortality and UTI in stroke patients. These findings highlight the importance of assessing and managing BMD in stroke patients to improve outcomes and reduce complications.

Effects of antipsychotic treatment on cardio-cerebrovascular related mortality in schizophrenia: A subanalysis of a systematic review and meta-analysis with meta-regression of moderators

To further explore the role of different antipsychotic treatments for cardio-cerebrovascular mortality, we performed several subgroup, sensitivity and meta-regression analyses based on a large previous meta-analysis focusing on cohort studies assessing mortality relative risk (RR) for cardio-cerebrovascular disorders in people with schizophrenia, comparing antipsychotic treatment versus no antipsychotic. Quality assessment through the Newcastle-Ottawa Scale (NOS) and publication bias was measured. We meta-analyzed 53 different studies (schizophrenia patients: n = 2,513,359; controls: n = 360,504,484) to highlight the differential effects of antipsychotic treatment regimens on cardio-cerebrovascular-related mortality in incident and prevalent samples of patients with schizophrenia. We found first generation antipsychotics (FGA) to be associated with higher mortality in incident samples of schizophrenia (oral FGA [RR=2.20, 95 %CI=1.29-3.77, k = 1] and any FGA [RR=1.70, 95 %CI=1.20-2.41, k = 1]). Conversely, second generation antipsychotics (SGAs) and clozapine were associated with reduced cardio-cerebrovascular-related mortality, in prevalent samples of schizophrenia. Subgroup analyses with NOS score ≥7 (higher quality) demonstrated a significantly increased cardio-cerebrovascular disorder-related mortality, among those exposed to FGAs vs SGAs. Meta-regression analyses demonstrated a larger association between antipsychotics and decreased risk of mortality with longer follow-up, recent study year, and higher number of adjustment variables. Overall, this subanalysis of a systematic review contributes to the evolving understanding of the complex role of antipsychotic treatment for cardio-cerebrovascular mortality in schizophrenia, paving the way for more targeted interventions and improved patient outcomes.

The risk of stroke and post-stroke mortality in people with schizophrenia: A systematic review and meta-analysis study

Sources of heterogeneity in risk of stroke and mortality risk following acute-stroke in schizophrenia are understudied. We systematically searched four electronic-databases until 1-November-2022, and conducted meta-analysis to synthesize estimates of stroke-risk and post-stroke mortality for schizophrenia patients relative to non-schizophrenia counterparts. Subgroup-analyses and meta-regression models stratified by sex, nature of sample (incident/prevalent), geographical region, study-period and time-frame following stroke were conducted when applicable. Fifteen and 5 studies were included for meta-analysis of stroke-risk (n=18,368,253; 129,095 schizophrenia patients) and all-cause post-stroke mortality (n=289,231; 4,477 schizophrenia patients), respectively. Schizophrenia patients exhibited elevated stroke-risk (relative-risk =1.55[95% CI:1.31-1.84]) relative to non-schizophrenia controls. Schizophrenia was associated with increased stroke-risk in both sexes, study-periods of 1990s and 2000s, and irrespective of nature of sample and geographical regions. Meta-regression revealed regional differences in relative-risk for stroke, but limited by small number of studies. After removal of an outlier study, meta-analysis demonstrated that schizophrenia was associated with increased overall (hazard-ratio=1.37[1.30-1.44]), short-term (≤90 days; 1.29[1.14-1.46]) and longer-term (≥1 year; 1.45[1.32-1.60]) post-stroke mortality rates. Raised post-stroke mortality rate for schizophrenia was observed irrespective of nature of sample, geographical regions and study-periods. Taken together, schizophrenia is associated with increased stroke-risk and post-stroke mortality. Multilevel-interventions are required to reduce these physical-health disparities.

Impact of Preexisting Alcohol Use Disorder, Bipolar Disorder, and Schizophrenia on Ischemic Stroke Risk and Severity: A Lebanese Case-Control Study

BACKGROUND

Stroke remains a major leading cause of morbidity and death globally. For ischemic stroke, the most frequent type of stroke, there are numerous risk models and risk assessments offered. Further research into potential risk factors or triggers is being sought to improve stroke risk models. Schizophrenia, bipolar disorder, and alcohol use disorder are all common causes of serious mental illnesses in the general population. Due to the tangled relationship between stroke and many chronic illnesses, lifestyle factors, and diet that may be present in a patient with a mental disease, the relationship between mental diseases and stroke requires further validation. Consequently, the purpose of this study is to assess the potential influence of bipolar disorder, schizophrenia, and alcohol use disorder on stroke patients as compared to non-stroke participants, after controlling for demographic, physical, and medical conditions. We aimed, as a secondary objective, to evaluate the impact of these pre-existing disorders on stroke severity levels.

METHODS

This research is a case-control survey study involving 113 Lebanese patients with a clinical diagnosis of ischemic stroke and 451 gender-matched volunteers without clinical signs of stroke as controls recruited from several hospitals in Lebanon (April 2020-April 2021). Based on the participant's consent, data was collected by filling out an anonymous paper-based questionnaire.

RESULTS

All of the odds ratios (ORs) generated by our regression model were greater than 1, indicating that the factors studied were associated with an increased risk of ischemic stroke. As such having schizophrenia (adjusted OR [aOR]: 6.162, 95% confidence interval [CI]: 1.136-33.423), bipolar disorder (aOR: 4.653, 95% CI: 1.214-17.834), alcohol use disorder (aOR: 3.918, 95% CI: 1.584-9.689), atrial fibrillation (aOR: 2.415, 95% CI: 1.235-4.721), diabetes (aOR: 1.865, 95% CI: 1.117-3.115), heart diseases (aOR: 9.890, 95% CI: 5.099-19.184), and asthma-COPD (aOR: 1.971, 95% CI: 1.190-3.263) were all involved with a high risk of developing an ischemic stroke. Moreover, obesity (aOR: 1.732, 95% CI: 1.049-2.861) and vigorous physical activity (aOR: 4.614, 95% CI: 2.669-7.978) were also linked to an increased risk of stroke. Moreover, our multinomial regression model revealed that the odds of moderate to severe/severe stroke were significantly higher in people with pre-stroke alcohol use disorder (aOR: 1.719, 95% CI: 1.385-2.133), bipolar disorder (aOR: 1.656, 95% CI: 1.281-2.141), and schizophrenia (aOR: 6.884, 95% CI: 3.294-11.492) compared to people who had never had a stroke.

CONCLUSION

The findings in our study suggest that individuals with schizophrenia, bipolar disorder, and alcohol use disorder may be at a higher risk for ischemic stroke and exhibit more severe symptoms. We believe that the first step toward creating beneficial preventative and treatment interventions is determining individuals with schizophrenia, bipolar disorder, or alcohol use disorder, assessing their risk of ischemic stroke, developing more integrated treatments, and closely monitoring the long-term outcome in the event of an ischemic stroke.

Association of severe mental illness with stroke outcomes and process-of-care quality indicators: nationwide cohort study

BACKGROUND

Severe mental illness (SMI) is associated with increased stroke risk, but little is known about how SMI relates to stroke prognosis and receipt of acute care.

AIMS

To determine the association between SMI and stroke outcomes and receipt of process-of-care quality indicators (such as timely admission to stroke unit).

METHOD

We conducted a cohort study using routinely collected linked data-sets, including adults with a first hospital admission for stroke in Scotland during 1991-2014, with process-of-care quality indicator data available from 2010. We identified pre-existing schizophrenia, bipolar disorder and major depression from hospital records. We used logistic regression to evaluate 30-day, 1-year and 5-year mortality and receipt of process-of-care quality indicators by pre-existing SMI, adjusting for sociodemographic and clinical factors. We used Cox regression to evaluate further stroke and vascular events (stroke and myocardial infarction).

RESULTS

Among 228 699 patients who had had a stroke, 1186 (0.5%), 859 (0.4%), 7308 (3.2%) had schizophrenia, bipolar disorder and major depression, respectively. Overall, median follow-up was 2.6 years. Compared with adults without a record of mental illness, 30-day mortality was higher for schizophrenia (adjusted odds ratio (aOR) = 1.33, 95% CI 1.16-1.52), bipolar disorder (aOR = 1.37, 95% CI 1.18-1.60) and major depression (aOR = 1.11, 95% CI 1.05-1.18). Each disorder was also associated with marked increased risk of 1-year and 5-year mortality and further stroke and vascular events. There were no clear differences in receipt of process-of-care quality indicators.

CONCLUSIONS

Pre-existing SMI was associated with higher risks of mortality and further vascular events. Urgent action is needed to better understand and address the reasons for these disparities.

Mortality in people with schizophrenia: a systematic review and meta-analysis of relative risk and aggravating or attenuating factors

People with schizophrenia die 15-20 years prematurely. Understanding mortality risk and aggravating/attenuating factors is essential to reduce this gap. We conducted a systematic review and random-effects meta-analysis of prospective and retrospective, nationwide and targeted cohort studies assessing mortality risk in people with schizophrenia versus the general population or groups matched for physical comorbidities or groups with different psychiatric disorders, also assessing moderators. Primary outcome was all-cause mortality risk ratio (RR); key secondary outcomes were mortality due to suicide and natural causes. Other secondary outcomes included any other specific-cause mortality. Publication bias, subgroup and meta-regression analyses, and quality assessment (Newcastle-Ottawa Scale) were conducted. Across 135 studies spanning from 1957 to 2021 (schizophrenia: N=4,536,447; general population controls: N=1,115,600,059; other psychiatric illness controls: N=3,827,955), all-cause mortality was increased in people with schizophrenia versus any non-schizophrenia control group (RR=2.52, 95% CI: 2.38-2.68, n=79), with the largest risk in first-episode (RR=7.43, 95% CI: 4.02-13.75, n=2) and incident (i.e., earlier-phase) schizophrenia (RR=3.52, 95% CI: 3.09-4.00, n=7) versus the general population. Specific-cause mortality was highest for suicide or injury-poisoning or undetermined non-natural cause (RR=9.76-8.42), followed by pneumonia among natural causes (RR=7.00, 95% CI: 6.79-7.23), decreasing through infectious or endocrine or respiratory or urogenital or diabetes causes (RR=3 to 4), to alcohol or gastrointestinal or renal or nervous system or cardio-cerebrovascular or all natural causes (RR=2 to 3), and liver or cerebrovascular, or breast or colon or pancreas or any cancer causes (RR=1.33 to 1.96). All-cause mortality increased slightly but significantly with median study year (beta=0.0009, 95% CI: 0.001-0.02, p=0.02). Individuals with schizophrenia <40 years of age had increased all-cause and suicide-related mortality compared to those ≥40 years old, and a higher percentage of females increased suicide-related mortality risk in incident schizophrenia samples. All-cause mortality was higher in incident than prevalent schizophrenia (RR=3.52 vs. 2.86, p=0.009). Comorbid substance use disorder increased all-cause mortality (RR=1.62, 95% CI: 1.47-1.80, n=3). Antipsychotics were protective against all-cause mortality versus no antipsychotic use (RR=0.71, 95% CI: 0.59-0.84, n=11), with largest effects for second-generation long-acting injectable anti-psychotics (SGA-LAIs) (RR=0.39, 95% CI: 0.27-0.56, n=3), clozapine (RR=0.43, 95% CI: 0.34-0.55, n=3), any LAI (RR=0.47, 95% CI: 0.39-0.58, n=2), and any SGA (RR=0.53, 95% CI: 0.44-0.63, n=4). Antipsychotics were also protective against natural cause-related mortality, yet first-generation antipsychotics (FGAs) were associated with increased mortality due to suicide and natural cause in incident schizophrenia. Higher study quality and number of variables used to adjust the analyses moderated larger natural-cause mortality risk, and more recent study year moderated larger protective effects of antipsychotics. These results indicate that the excess mortality in schizophrenia is associated with several modifiable factors. Targeting comorbid substance abuse, long-term maintenance antipsychotic treatment and appropriate/earlier use of SGA-LAIs and clozapine could reduce this mortality gap.

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.

The Independent Association of Prestroke Psychiatric Symptoms and Acute Phase Delirium with Poststroke Mortality at One Year in Nigeria

BACKGROUND

Undetected acute phase delirium contributes to high poststroke mortality in sub-Saharan Africa (SSA). The present study adds to existing literature by examining the association of prestroke psychiatric symptoms with poststroke mortality at 3 and 12 months in Nigeria.

METHODS

A prospective observational study with repeated delirium assessments conducted using the Confusion Assessment Method (CAM). Delirium was characterised in participants meeting criteria in the Fifth edition of the Diagnostic and Statistical Manual of mental disorders (DSM-V) as well as in those with ≥two core delirium features. Prestroke psychiatric symptoms were ascertained using the Neuropsychiatric Inventory Questionnaire (NPI-Q). Information on mortality was obtained by research supervisors during medical follow-up. Associations were investigated using multivariate logistic regression analyses and presented as odds ratios (O.R) within 95% confidence intervals (C.I).

RESULTS

Forty-five (30%) of 150 participants who provided data in the first week of stroke died by one-year follow-up. Those who died were more likely to have had a prestroke psychiatric symptom (64.4%, p=0.005) and delirium in the acute phase (60.0%, p=0.002). In analyses adjusting for the effect of age, education, tobacco smoking and stroke severity, prestroke psychiatric symptoms (O.R=3.3, 95% C.I=1.3,8.2; O.R=2.2, 95% C.I=1.0,4.6) and acute phase delirium (O.R=3.1, 95% C.I= 1.2,7.6; O.R=3.4, 95% C.I=1.5, 7.6) predicted mortality at 3 and 12 months poststroke, respectively.

CONCLUSION

This study found that prestroke psychiatric symptoms and acute phase delirium independently predicted post-stroke mortality at 3- and 12 months. Detection and treatment of mental health conditions in the population at increased risk of stroke may help reduce poststroke mortality in SSA.

Mortality in patients with schizophrenia admitted for incident ischemic stroke: A population-based cohort study

Evidence shows that schizophrenia is associated with increased incidence of stroke. However, relationship between schizophrenia and short-term mortality risk is understudied, and mixed findings were observed. In this retrospective population-based cohort study, we identified individuals admitted for incident ischemic stroke between 2006 and 2016 using a territory-wide electronic medical record database of public healthcare system in Hong Kong to examine 30-day and 1-year mortality rates in 817 schizophrenia patients compared with 8170 patients without psychotic disorder (10:1 matched to schizophrenia patients on demographics, treatment sites and calendar-period for index admission). Multivariate regression analyses adjusting for medical comorbidities revealed that schizophrenia patients experienced elevated 1-year (16.9% vs 12.1%; p < 0.001) and 30-day mortality (7.2% vs 5.3%; p = 0.053) relative to control group. Additional age- and gender-stratified analyses revealed even more pronounced effect of schizophrenia on raised mortality risk, as indicated by higher odds, in younger-age (<65 years) group and men. Our results indicate that schizophrenia is associated with heightened short-term mortality following incident ischemic stroke. Further research is warranted to identify factors contributing to excess post-stroke deaths among schizophrenia patients to facilitate development of effective interventions for mortality risk reduction.

The Association of Pre-stroke Psychosis and Post-stroke Levels of Health, Resource Utilization, and Care Process: A Register-Based Study

Background: While approximately one percent of the global population is formally diagnosed with psychosis or schizophrenia, the actual number is expected to be significantly higher. These patients often consume more healthcare resources and have poorer somatic health. In this study, we analyze potential differences in health, resources, and care process between stroke patients with and without a previous diagnosis of psychosis or schizophrenia.

Methods: Ischemic stroke patients from seven regions in Sweden were identified via ICD-10 codes (I63.0-9) in regional administrative systems and the Swedish Stroke Register, and approximately 70% of all ischemic stroke cases in Sweden during 2008–2011 were included (n = 46,350). Relevant patient-level data from national registries were linked to enable multivariate regression analysis, including data on socioeconomics, mortality, municipality services, and filled prescriptions. History of psychosis or schizophrenia was defined via ICD-10 codes F20-29 (n = 389).

Results: Patient-reported functional outcomes at 3 months and 1 year were significantly lower in the psychosis subgroup, and stroke recurrence was higher. Patients with pre-stroke psychosis did not receive the same levels of reperfusion treatment as the non-psychosis group. Time at the stroke unit was the same, as were first-year levels of somatic care, but dispensation of antihypertensives was less common.

Conclusion: Our findings emphasize the importance of taking mental comorbidity into account during stroke treatment as well as when evaluating indicators for health, resources, and the care process, since mental comorbidity such as psychosis or schizophrenia may have a significant impact the year preceding and the year succeeding the stroke event.

Is cerebrovascular disease a silent condition in patients with chronic schizophrenia-related disorders?

Patients with chronic schizophrenia-related disorders are at a heightened risk of developing cardiovascular disease. The presence and interpretation of cerebral vascular lesions in neuroimaging tests in these patients represents a common clinical challenge. Nevertheless, the literature on cerebrovascular disease in this population is scarce and contradictory. The aim of this study was to analyse the relationship between schizophrenia-related disorders and cerebrovascular morbidity. A case-control study compared cerebrovascular morbidity in a group of patients with schizophrenia-related disorder versus a group of patients with another severe mental illness. The risk of presenting cerebrovascular morbidity was four times higher and statistically significant in patients with schizophrenia-related disorders compared with controls, paired by age and sex. However, both groups were homogeneous in terms of cardiovascular risk factors. There were significant differences between the two groups only in the time using first-generation antipsychotic drugs and taking two or more antipsychotic medications simultaneously. The relationship between chronic schizophrenia-related disorders and cerebrovascular disease may be beyond the classic cardiovascular risk factors and related to certain medications. This is one of the first studies to focus on the relation among cerebrovascular morbidity, antipsychotic drugs and disorders related to schizophrenia in middle-aged and elderly adults.

Validity of a stroke severity index for administrative claims data research: a retrospective cohort study

Background

Ascertaining stroke severity in claims data-based studies is difficult because clinical information is unavailable. We assessed the predictive validity of a claims-based stroke severity index (SSI) and determined whether it improves case-mix adjustment.

Methods

We analyzed patients with acute ischemic stroke (AIS) from hospital-based stroke registries linked with a nationwide claims database. We estimated the SSI according to patient claims data. Actual stroke severity measured with the National Institutes of Health Stroke Scale (NIHSS) and functional outcomes measured with the modified Rankin Scale (mRS) were retrieved from stroke registries. Predictive validity was tested by correlating SSI with mRS. Logistic regression models were used to predict mortality.

Results

The SSI correlated with mRS at 3 months (Spearman rho = 0.578; 95 % confidence interval [CI], 0.556–0.600), 6 months (rho = 0.551; 95 % CI, 0.528–0.574), and 1 year (rho = 0.532; 95 % CI 0.504–0.560). Mortality models with the SSI demonstrated superior discrimination to those without. The AUCs of models including the SSI and models with the NIHSS did not differ significantly.

Conclusions

The SSI correlated with functional outcomes after AIS and improved the case-mix adjustment of mortality models. It can act as a valid proxy for stroke severity in claims data-based studies.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-016-1769-8) contains supplementary material, which is available to authorized users.

A comparison of stroke severity proxy measures for claims data research: a population-based cohort study

PURPOSE

Confounding by disease severity has been viewed as an intractable problem in claims-based studies. A novel 7-variable stroke severity index (SSI) was designed for estimating stroke severity by using claims data. This study compared the performance of mortality models with various proxy measures of stroke severity, including the SSI, in patients hospitalized for acute ischemic stroke (AIS).

METHODS

Data from the Taiwan National Health Insurance Research Database (NHIRD) were analyzed. Three proxy measures of stroke severity were evaluated: Measure 1, the SSI; Measure 2, intensive care unit admission and length of stay; and Measure 3, surgical operation, mechanical ventilation, hemiplegia or hemiparesis, and residual neurological deficits. We performed logistic regression by including age, sex, vascular risk factors, Charlson comorbidity index, and one of the proxy measures as covariates to predict 30-day and 1-year mortality after AIS. Model discrimination was evaluated using the area under the receiver-operating characteristic curve (AUC).

RESULTS

We identified 7551 adult patients with AIS. Models using the SSI (Measure 1) outperformed models using the other proxy measures in predicting 30-day mortality (AUC 0.892 vs 0.851, p < 0.001 for Measure 2; 0.892 vs 0.853, p < 0.001 for Measure 3) and 1-year mortality (AUC 0.816 vs 0.784, p < 0.001 for Measure 2; 0.816 vs 0.782, p < 0.001 for Measure 3).

CONCLUSIONS

Using the SSI facilitated risk adjustment for stroke severity in mortality models for patients with AIS. The SSI is a viable methodological tool for stroke outcome studies using the NHIRD.

Effect of different antipsychotic drugs on short-term mortality in stroke patients

The safety, tolerability, and efficacy data for antipsychotic drugs used in the acute phase of stroke are limited. The primary aim of this study was to examine the effectiveness and safety of typical and atypical antipsychotics on acute ischemic stroke mortality.This observational study was conducted in a retrospective cohort of patients selected from the 2010-2011 National Health Research Institute database in Taiwan. Patients were tracked for 1 month from the time of their first hospitalization for acute ischemic stroke. A nested case-control analysis was used to estimate the odds ratio (OR) of 30-day mortality associated with antipsychotic drug, adjusted for age, gender, disease severity, and comorbidities.The study cohort included 47,225 subjects with ischemic stroke, including 9445 mortality cases and 37,780 matched controls. After adjustment for the covariates, antipsychotics users before ischemic stroke are associated with a 73% decrease in the rate of mortality (OR 0.27; 95% CI 0.23-0.31). After ischemic stroke, the use of antipsychotics is associated with 87% decrease in the rate of mortality (OR 0.13; 95% CI 0.1-0.16). The users of conventional antipsychotics are associated with a 78% decrease in the rate of mortality (OR 0.22; 95% CI 0.18-0.26). The users of atypical antipsychotics are also associated with a 86% decrease in the rate of mortality (OR 0.14; 95% CI 0.12-0.17).We found that 1-month mortality among acute stroke patients treated with antipsychotics is significantly lower. The benefit on lower mortality was found not only among ischemic stroke patients who had received antipsychotics previously but also among patients who start antipsychotics after their stroke.

Stroke risk and outcomes in patients with traumatic brain injury: 2 nationwide studies

OBJECTIVE

To investigate whether patients with traumatic brain injury (TBI) have an increased risk of stroke or poststroke mortality.

PARTICIPANTS AND METHODS

Using Taiwan's National Health Insurance Research Database, we conducted a retrospective cohort study of 30,165 patients with new TBI and 120,660 persons without TBI between January 1, 2000, and December 31, 2004. The risk of stroke was compared between 2 cohorts through December 31, 2008. To investigate the association between in-hospital mortality after stroke and history of TBI, we conducted a case-control study of 7751 patients with newly diagnosed stroke between January 1, 2005, and December 31, 2008.

RESULTS

The TBI cohort had an increased stroke risk (hazard ratio [HR], 1.98; 95% CI, 1.86-2.11). Among patients with stroke, those with a history of TBI had a higher risk of poststroke mortality compared with those without TBI (odds ratio, 1.57; 95% CI, 1.13-2.19). In the TBI cohort, factors associated with stroke were history of TBI hospitalization (HR, 3.14; 95% CI, 2.77-3.56), emergency care for TBI (HR, 3.37; 95% CI, 2.88-3.95), brain hemorrhage (HR, 2.69; 95% CI, 2.43-2.99), skull fracture (HR, 3.00; 95% CI, 2.42-3.71), low income (HR, 2.65; 95% CI, 2.16-3.25), and high medical expenditure for TBI care (HR, 2.26; 95% CI, 2.09-2.43). The severity of TBI was also correlated with poststroke mortality.

CONCLUSIONS

Traumatic brain injury was associated with risk of stroke and poststroke mortality. The relationship between TBI and poststroke mortality does not seem to transcend all age groups. This research shows the importance of prevention, early recognition, and treatment of stroke in this vulnerable population.

Post-stroke mortality, stroke severity, and preadmission antipsychotic medicine use--a population-based cohort study

Background and Purpose

It has been suggested that antipsychotic medication may be neuroprotective and may reduce post-stroke mortality, but studies are few and ambiguous. We aimed to investigate the post-stroke effects of preadmission antipsychotic use.

Methods

We conducted a nationwide, population-based cohort study of 81,143 persons admitted with stroke in Denmark from 2003–2010. Using Danish health care databases, we extracted data on preadmission use of antipsychotics and confounding factors. We examined the association between current, former, and never use of antipsychotics and stroke severity, length of hospital stay, and 30-day post-stroke mortality using logistic regression analysis, survival analysis, and propensity score matching.

Results

Current users of antipsychotics had a higher risk of severe or very severe stroke on The Scandinavian Stroke Scale than never users of antipsychotics (adjusted odds ratios, 1.43; 95% CI, 1.29–1.58). Current users were less likely to be discharged from hospital within 30 days of admission than never users (probability of non-discharge, 27.0% vs. 21.9%). Antipsychotics was associated with an increased 30-day post-stroke mortality among current users (adjusted mortality rate ratios, 1.42; 95% CI, 1.29–1.55), but not among former users (adjusted mortality rate ratios, 1.05; 95% CI, 0.98–1.14).

Conclusions

Preadmission use of antipsychotics was associated with a higher risk of severe stroke, a longer duration of hospital stay, and a higher post-stroke mortality, even after adjustment for known confounders. Antipsychotics play an important role in the treatment of many psychiatric conditions, but our findings do not support the hypothesis that they reduce stroke severity or post-stroke mortality.

The incidence and relative risk of stroke among patients with bipolar disorder: a seven-year follow-up study

Objective

This study aimed to estimate the incidence and relative risk of stroke and post-stroke all-cause mortality among patients with bipolar disorder.

Methods

This study identified a study population from the National Health Insurance Research Database (NHIRD) between 1999 and 2003 that included 16,821 patients with bipolar disorder and 67,284 age- and sex-matched control participants without bipolar disorder. The participants who had experienced a stroke between 1999 and 2003 were excluded and were randomly selected from the NHIRD. The incidence of stroke (ICD-9-CM code 430–438) and patient survival after stroke were calculated for both groups using data from the NIHRD between 2004 and 2010. A Cox proportional-hazards model was used to compare the seven-year stroke-free survival rate and all-cause mortality rate across the two cohorts after adjusting for confounding risk factors.

Results

A total of 472 (2.81%) patients with bipolar disorder and 1,443 (2.14%) controls had strokes over seven years. Patients with bipolar disorder were 1.24 times more likely to have a stroke (95% CI = 1.12–1.38; p<0.0001) after adjusting for demographic characteristics and comorbid medical conditions. In addition, 513 (26.8%) patients who had a stroke died during the follow-up period. The all-cause mortality hazard ratio for patients with bipolar disorder was 1.28 (95% CI = 1.06–1.55; p = 0.012) after adjusting for patient, physician and hospital variables.

Conclusions

The likelihood of developing a stroke was greater among patients with bipolar disorder than controls, and the all-cause mortality rate was higher among patients with bipolar disorder than controls during a seven-year follow-up period.

The incidence and relative risk of stroke in patients with schizophrenia: a five-year follow-up study

OBJECTIVE

This study aimed to estimate the incidence and relative risk of stroke and post-stroke all-cause mortality in patients with schizophrenia.

METHODS

This study identified a study population from the National Health Insurance Research Database (NHIRD) between 1999 and 2003 that included 80,569 patients with schizophrenia and 241,707 age- and sex-matched control participants without schizophrenia. The participants were randomly selected from the 23,981,020-participant NHIRD, which consists of 96% Taiwanese participants. Participants who had experienced a stroke between 1999 and 2003 were excluded. Using data from the NHIRD between 2004 and 2008, the incidence of stroke (ICD-9-CM code 430-438) and patient survival after stroke were calculated for both groups. After adjusting for confounding risk factors, a Cox proportional-hazards model was used to compare the five-year stroke-free survival rate to the all-cause mortality rate across the two cohorts.

RESULTS

Over five years, 1380 (1.71%) patients with schizophrenia and 2954 (1.22%) controls suffered from strokes. After adjusting for demographic characteristics and comorbid medical conditions, patients with schizophrenia were 1.13 times more likely to have a stroke (95% CI=1.05-1.22; P=0.0006). In addition, 1039 (24%) patients who had a stroke died during the follow-up period. After adjusting for patient, physician and hospital variables, the all-cause mortality hazard ratio for patients with schizophrenia was 1.23 (95% CI=1.06-1.41; P=0.0052).

CONCLUSIONS

During a five-year follow-up, the likelihood of developing a stroke and the all-cause mortality rate were greater among patients with schizophrenia as compared with the control group.

A critical review of major mortality risk factors for all-cause mortality in first-episode schizophrenia: clinical and research implications

A bibliographical search was performed to identify and evaluate the impact in first-episode schizophrenia of the major mortality risk factors as described by the World Health Organisation (2009). We found that at first diagnosis rates of diabetes were only slightly increased, although lipid abnormalities, mild hypertension and being overweight were commonly reported. Levels of drug and alcohol abuse were high, as were pre-diagnosis rates of smoking, physical inactivity and poor cardiorespiratory fitness. During the first year of antipsychotic treatment, there were significant increases in the rates of hyperglycaemia/diabetes, obesity, lipid abnormalities and hypertension, but no changes in fitness levels, smoking or drug and alcohol abuse. In chronic schizophrenia, excess cancer and cardiac deaths seem linked in part to availability and quality of care. Innate risk factors such as abnormal reelin and raised prolactin may also be important. New evidence, such as an inverse relationship between body mass index and suicide in the general population, suggests accepted wisdom may not apply to patients at high risk of ending their own lives. With current knowledge emphasis needs to be placed by early intervention services on physical fitness, smoking and other substance misuse, diabetes and hypertension, as well as focusing on weight reduction only in the obese.

Life expectancy and cardiovascular mortality in persons with schizophrenia

PURPOSE OF REVIEW

To assess the impact of cardiovascular disease on the excess mortality and shortened life expectancy in schizophrenic patients.

RECENT FINDINGS

Patients with schizophrenia have two-fold to three-fold higher mortality rates compared with the general population, corresponding to a 10-25-year reduction in life expectancy. Although the mortality rate from suicide is high, natural causes of death account for a greater part of the reduction in life expectancy. The reviewed studies suggest four main reasons for the excess mortality and reduced life expectancy. First, persons with schizophrenia tend to have suboptimal lifestyles including unhealthy diets, excessive smoking and alcohol use, and lack of exercise. Second, antipsychotic drugs may have adverse effects. Third, physical illnesses in persons with schizophrenia are common, but diagnosed late and treated insufficiently. Lastly, the risk of suicide and accidents among schizophrenic patients is high.

SUMMARY

Schizophrenia is associated with a substantially higher mortality and curtailed life expectancy partly caused by modifiable risk factors.

Increased risks of acute organ dysfunction and mortality in intensive care unit patients with schizophrenia: a nationwide population-based study

OBJECTIVE

To investigate the risks of acute organ dysfunction and death in intensive care unit (ICU) patients with schizophrenia.

METHODS

Using a retrospective matched cohort design, we compared 203 schizophrenic patients to 2036 demographically matched (1:10) nonschizophrenic patients with first-time ICU admission between 2005 and 2007 using the claims data of a nationally representative cohort from the Taiwan National Health Insurance Research Database. Definitions of schizophrenia and associated diagnoses were based on the codes of the International Classification of Diseases, Ninth Revision, Clinical Modification. Analyses were performed using univariate and multivariate analyses.

RESULTS

The median age of schizophrenic patients was 53 years; 61.1% were men. Schizophrenic patients were less likely to be hospitalized in a medical center and had fewer surgical conditions and principal cardiovascular diagnoses, but they had a higher prevalence of infection than nonschizophrenic patients. After controlling for the aforementioned baseline covariates, schizophrenic patients had a higher risk of acute organ dysfunction (adjusted odds ratio = 1.52, 95% confidence interval = 1.09-2.10). When individual organ systems were analyzed, they had a 47% higher risk of respiratory dysfunction, a 194% higher risk of renal dysfunction, and a 122% higher risk of neurological dysfunction than nonschizophrenic patients. Hospital mortality was also higher in schizophrenic patients than in nonschizophrenic patients (24.1% versus 14.4%, p < .001; adjusted odds ratio = 1.56, 95% confidence interval = 1.08-2.24).

CONCLUSIONS

Among ICU patients, schizophrenic patients were sicker, having a higher risk of acute organ dysfunction and death.