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      Sex-related differences in the risk factors for in-hospital mortality and outcomes of ischemic stroke patients in rural areas of Taiwan

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          Abstract

          Background and purpose

          Sex-related differences in the clinical presentation and outcomes of stroke patients are issues that have attracted increased interest from the scientific community. The present study aimed to investigate sex-related differences in the risk factors for in-hospital mortality and outcome in ischemic stroke patients.

          Methods

          A total of 4278 acute ischemic stroke patients admitted to a stroke unit between January 1, 2007 and December 31, 2014 were included in the study. We considered demographic characteristics, clinical characteristics, co-morbidities, and complications, among others, as factors that may affect clinical presentation and in-hospital mortality. Good and poor outcomes were defined as modified Ranking Score (mRS)≦2 and mRS>2. Neurological deterioration (ND) was defined as an increase of National Institutes of Health Stroke Score (NIHSS) ≥ 4 points. Hemorrhagic transformation (HT) was defined as signs of hemorrhage in cranial CT or MRI scans. Transtentorial herniation was defined by brain edema, as seen in cranial CT or MRI scans, associated with the onset of acute unilateral or bilateral papillary dilation, loss of reactivity to light, and decline of ≥ 2 points in the Glasgow coma scale score.

          Results

          Of 4278 ischemic stroke patients (women 1757, 41.1%), 269 (6.3%) received thrombolytic therapy. The in hospital mortality rate was 3.35% (139/4278) [4.45% (80/1757) for women and 2.34% (59/2521) for men, p < 0.01]. At discharge, 41.2% (1761/4278) of the patients showed good outcomes [35.4% (622/1757) for women and 45.2% (1139/2521) for men]. Six months after stroke, 56.1% (1813/3231) showed good outcomes [47.4% (629/1328) for women and 62.2% (1184/1903) for men, p < 0.01]. Atrial fibrillation (AF), diabetes mellitus, stroke history, and old age were factors contributing to poor outcomes in men and women. Hypertension was associated with poor outcomes in women but not in men in comparison with patients without hypertension. Stroke severity and increased intracranial pressure were associated with increased in-hospital mortality in men and women. AF was associated with increased in-hospital mortality in women but not in men compared with patients without AF.

          Conclusion

          The in-hospital mortality rate was not significantly different between women and men. Functional outcomes at discharge and six months after stroke were poorer in women than in men. Hypertension is an independent factor causing poorer outcomes in women than in men. AF is an independent factor affecting sex differences in hospital mortality in women.

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          Most cited references24

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          Sex differences in stroke: epidemiology, clinical presentation, medical care, and outcomes.

          Stroke has a greater effect on women than men because women have more events and are less likely to recover. Age-specific stroke rates are higher in men, but, because of their longer life expectancy and much higher incidence at older ages, women have more stroke events than men. With the exception of subarachnoid haemorrhage, there is little evidence of sex differences in stroke subtype or severity. Although several reports found that women are less likely to receive some in-hospital interventions, most differences disappear after age and comorbidities are accounted for. However, sex disparities persist in the use of thrombolytic treatment (with alteplase) and lipid testing. Functional outcomes and quality of life after stroke are consistently poorer in women, despite adjustment for baseline differences in age, prestroke function, and comorbidities. Here, we comprehensively review the epidemiology, clinical presentation, medical care, and outcomes of stroke in women.
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            Sex differences in stroke epidemiology: a systematic review.

            Epidemiological studies, mainly based on Western European surveys, have shown that stroke is more common in men than in women. In recent years, sex-specific data on stroke incidence, prevalence, subtypes, severity and case-fatality have become available from other parts of the world. The purpose of this article is to give a worldwide review on sex differences in stroke epidemiology. We searched PubMed, tables-of-contents, review articles, and reference lists for community-based studies including information on sex differences. In some areas, such as secular trends, ischemic subtypes and stroke severity, noncommunity-based studies were also reviewed. Male/female ratios were calculated. We found 98 articles that contained relevant sex-specific information, including 59 incidence studies from 19 countries and 5 continents. The mean age at first-ever stroke was 68.6 years among men, and 72.9 years among women. Male stroke incidence rate was 33% higher and stroke prevalence was 41% higher than the female, with large variations between age bands and between populations. The incidence rates of brain infarction and intracerebral hemorrhage were higher among men, whereas the rate of subarachnoidal hemorrhage was higher among women, although this difference was not statistically significant. Stroke tended to be more severe in women, with a 1-month case fatality of 24.7% compared with 19.7% for men. Worldwide, stroke is more common among men, but women are more severely ill. The mismatch between the sexes is larger than previously described.
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              Predictors of in-hospital mortality and attributable risks of death after ischemic stroke: the German Stroke Registers Study Group.

              There is a lack of information about factors associated with in-hospital death and the impact of neurological complications on early outcome for patients with stroke treated in community settings. We investigated predictors for in-hospital mortality and attributable risks of death after ischemic stroke in a pooled analysis of large German stroke registers. Stroke patients admitted to hospitals cooperating within the German Stroke Registers Study Group (ADSR) between January 1, 2000, and December 31, 2000, were analyzed. The ADSR is a network of regional stroke registers, combining data from 104 academic and community hospitals throughout Germany. The impact of patients' demographic and clinical characteristics, their comorbid conditions, and the treating hospital expertise in stroke care on in-hospital mortality was analyzed using Cox regression analysis. Attributable risks of death for medical and neurological complications were calculated. A total of 13 440 ischemic stroke patients were included. Overall in-hospital mortality was 4.9%. In women, higher age (P<.001), severity of stroke defined by number of neurological deficits (P<.001), and atrial fibrillation (hazard ratio [HR], 1.3; 95% confidence interval [CI], 1.0-1.6) were independent predictors for in-hospital death. In men, diabetes (HR, 1.3; 95% CI, 1.0-1.8) and previous stroke (HR 1.4; 95% CI, 1.0-1.9) had a significant negative impact on early outcome in addition to the factors identified for women. The complication with the highest attributable risk proportion was increased intracranial pressure, accounting for 94% (95% CI, 93.9%-94.1%) of deaths among patients with this complication. Pneumonia was the complication with the highest attributable proportion of death in the entire stroke population, accounting for 31.2% (95% CI, 30.9%-31.5%) of all deaths. More than 50% of all in-hospital deaths were caused by serious medical or neurological complications (54.4%; 95% CI, 54.3%-54.5%). Substantial differences were found in the impact of comorbid conditions on early outcome for men and women. Programs aiming at an improvement in short-term outcome after stroke should focus especially on a reduction of pneumonia and an early treatment of increased intracranial pressure.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Software
                Role: Data curationRole: Investigation
                Role: Project administration
                Role: Data curationRole: Visualization
                Role: Data curationRole: Validation
                Role: Data curationRole: ValidationRole: Visualization
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 September 2017
                2017
                : 12
                : 9
                : e0185361
                Affiliations
                [1 ] Department of Neurology, Chia-Yi Christian Hospital, Chia-Yi, Taiwan
                [2 ] Department of Nursing, Chung Jen Junior College of Nursing, Health Science and Management, Chia-Yi, Taiwan
                [3 ] Department of Family Medicine, Chia-Yi Christian Hospital, Chia-Yi, Taiwan
                National Yang-Ming University, TAIWAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-1814-4371
                Article
                PONE-D-17-03729
                10.1371/journal.pone.0185361
                5608367
                28934363
                68852e0c-44f3-4a21-b63d-bf68e08391b4
                © 2017 Ong et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 January 2017
                : 11 September 2017
                Page count
                Figures: 2, Tables: 3, Pages: 12
                Funding
                The authors received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Ischemic Stroke
                Medicine and Health Sciences
                Cardiology
                Arrhythmia
                Atrial Fibrillation
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Hemorrhagic Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Hemorrhagic Stroke
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                Medicine and Health Sciences
                Diagnostic Medicine
                Signs and Symptoms
                Hyperlipidemia
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Signs and Symptoms
                Hyperlipidemia
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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