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| 1/2022 Artykuł oryginalny Justyna Tracz 1 , Iwona Gorczyca-Głowacka 2, 3 , Marcin Wełnicki 4 , Ewa Kołodziejska 5 , Anita Rosołowska 1 , Artur Mamcarz 4 , Beata Wożakowska-Kapłon 2, 3
Medical Studies/Studia Medyczne 2022; 38 (1): 22–30 Data publikacji online: 2022/03/31 Plik artykułu: - Ischaemic stroke.pdf[0.14 MB] ENWEndNoteBIBJabRef, MendeleyRISPapers, Reference Manager, RefWorks, Zotero AMA APA Chicago Harvard MLA Vancouver IntroductionStroke is one of the most common causes of death in the adult population worldwide and the leading cause of disability in people aged over 45 years. It is estimated that approximately 5.5 million people die from stroke each year (accounting for ~10% of total deaths), and approximately half of the patients remain disabled [1–4]. The lifetime risk for stroke over the age of 25 years is approximately 25% among both men and women, with an 18% risk of ischaemic stroke. Increased incidence is observed in low and middle socio-demographic index countries [4]. The incidence of stroke in Poland is 175/100,000 in men and 125/100,000 in women. In the general population, men are affected more often than women [2, 3]. The risk of stroke increases with age in both men and women; however, in the elderly, a higher incidence of stroke is observed in women [2, 5, 6]. Sex also affects the clinical course of stroke and long-term prognosis, and higher percentages of mortality and disability are observed in women [1, 2, 5]. This phenomenon may be caused by the longer life span of women and more frequent incidence of stroke in old age, as well as by comorbidities predisposing to stroke, such as arterial hypertension, heart failure, atrial fibrillation (AF), and diabetes [2, 7]. Aim of researchThe risk of stroke increases with age in both men and women, but women have a higher rate of mortality and disability following stroke. However, little is known about sex differences in stroke care and outcomes. The aim of the study was to compare the in-hospital mortality in men and women with ischaemic stroke and to identify factors that predispose to death. Material and methodsStudy groupThis retrospective study included patients with ischaemic stroke who were subsequently hospitalized in the reference neurological centre in 2013–2014. Ischaemic stroke was diagnosed based on the clinical picture and head imaging (computed tomography or magnetic resonance imaging of the head). Analysed dataData on age, sex, comorbidities, results of additional tests, and the course of hospitalization were analysed. Study endpointThe endpoint of the study was death during hospitalization. Statistical analysisThe results were analysed with Statistica 13.0 software (StatSoft Inc.). The distribution of quantitative variables was assessed using the Shapiro-Wilk test. In terms of descriptive statistics, mean values, medians, minimum and maximum values, and standard deviations were presented for quantitative variables. For qualitative variables, the numbers and frequency of occurrence or modes were given, with their number and percentage share, depending on the type of data. Quantitative variables with a distribution similar to normal were compared with Student’s t-test for unrelated variables. The correlations between these variables were tested using the Pearson correlation coefficient. Quantitative unrelated variables with a non-normal distribution were compared with the Mann-Whitney U test, and the correlations between these variables were tested using the Spearman correlation coefficient. The statistical significance of the differences between qualitative variables was assessed using the c2 test. Appropriate logistic regression models were constructed for the conditional estimation of selected random variables. For statistically significant results from the univariate and multivariate regressions, the odds ratio (OR) is presented, together with a ±95% confidence interval (CI) and the p-value. Results were considered statistically significant if p < 0.05. ResultsCharacteristics of the study groupThe study group of 2000 patients included 1010 (50.5%) men. The mean age was 73.4 years. The most common comorbidity in the study group was hypertension, which was found in 1538 (76.9%) patients. AF occurred in 579 (29%) patients, diabetes mellitus in 520 (26%) patients, and ischaemic heart disease in 466 (23.3%) patients. Haemorrhagic complications of the stroke site were reported in 120 (6%) patients. The functional status of patients was assessed using the NIHSS scale in 1933 patients (971 men and 961 women). Significant neurological deficit (NIHSS ≥ 5 points) on admission to the hospital was found in 1107 (57.3%) patients, and 375 (18.8%) patients had severe disability (NIHSS ≥ 15 points) (Table 1). Comparison of the clinical characteristics of women and menWomen were older than men on admission (mean age 77.3 vs. 69.5 years, respectively, p < 0.001). Figure 1 presents the proportion of women and men in particular age groups. In women, arterial hypertension, AF, and heart failure were more common than in men (82.2% vs. 71.7%, p < 0.001; 36.2% vs. 21.9%, p < 0.001; 18.4% vs. 11.6%, p < 0.001, respectively). In men, a history of myocardial infarction and chronic obstructive pulmonary disease (COPD) (13.1% vs. 9.9%, p = 0.044; 7.1% vs. 3.9%, p = 0.003, respectively) was more frequently reported. Men were more likely to abuse alcohol (8.1% vs. 7.2%, p = 0.476) and smoke (10.9% vs. 9.7%, p = 0.421). NIHSS scores ≥ 5 points were achieved by 537 (48.6%) men and 569 (51.4%) women (p = 0.340) (Table 1). In total, 170 (45.3%) men and 205 (54.7%) women had an NIHSS score ≥ 15 points, including 49 (15.5%) women and 98 (16.1%) men aged < 75 years, and 156 (24.2%) women and 72 (19.9%) men aged ≥ 74 years. Study endpointDuring hospitalization, 318 (15.9%) patients – 141 (14%) men and 177 (17.9%) women – died (p = 0.02). Figure 2 shows the proportion of deaths in women and men in particular age groups. Analysis of factors predisposing to death in womenThe univariate analysis showed that the factors that increased the risk of death in women were as follows: age ≥ 75 years, arterial hypertension, COPD, glomerular filtration rate (GFR) < 60 ml/min/1.73 m2, and haemorrhagic transformation of the stroke site. The multivariate analysis showed that the risk of death in women was increased by age ≥ 75 years (OR = 2.507) and COPD (OR = 2.231). The strongest predictor of death in women was haemorrhagic transformation of the stroke site (OR = 4.77). Diabetes was a factor reducing the risk of death in women (OR = 0.613) (Table 2). Analysis of the factors predisposing to death in menThe univariate analysis showed that the history of percutaneous coronary interventions, myocardial infarction, and GFR < 60 ml/min/1.73 m2 were factors increasing the risk of death in men. The multivariate analysis showed that the risk of death in men was increased by a history of myocardial infarction (OR = 2.295) and GFR < 60 ml/min/1.73 m2 (OR = 1.774). Hypertension was a factor reducing the risk of death in men (OR = 0.498) (Table 3). DiscussionIn this study on patients with ischaemic stroke, the percentages of women and men were similar, but the women were older on admission compared to the men. These results are consistent with reports by other authors, as well as with the phenomenon observed in the general population for years, indicating a longer life span for women [8–10]. The in-hospital mortality in this study was relatively high and was close to 16%. Data from other studies show diverse results, and in-hospital mortality in patients with ischaemic stroke is reported as 3.3–18% [7, 8, 11–14]. Considerable discrepancies in the results arise from different treatment methods for acute stroke and different clinical characteristics of the hospitalized patients. ConclusionsIn this study in-hospital mortality in patients with ischaemic stroke was higher in women. In women, previous haemorrhagic stroke, age ≥ 75 years, and COPD increased the risk of in-hospital mortality. In men, a history of myocardial infarction and GFR < 60 ml/min/1.73 m2 increased the risk of in-hospital death. AcknowledgmentsLanguage and formatting assistance was provided by Proper Medical Writing, Warsaw, Poland. Conflict of interestThe authors declare no conflict of interest. References1. Girijala RL, Sohrabji F, Bush RL. Sex differences in stroke: review of current knowledge and evidence. Vasc Med 2017; 22: 135-145. 2. Stróżyńska E, Ryglewicz D. Czynniki ryzyka udaru mózgu u kobiet. Pol Prz Neurol 2013; 9: 135-140. 3. Czarnecka D, Zabojszcz M. Nadciśnienie tętnicze a udar mózgu. Choroby Serca i Naczyń 2004; 1: 19-25. 4. GBD 2016 Lifetime Risk of Stroke Collaborators. 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Stroke 2016; 47: 1665-1668. Copyright: © 2022 Jan Kochanowski University in Kielce This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
Pełny tekst: Udar niedokrwienny mózgu u kobiet i mężczyzn – rokowanie wewnątrzszpitalne, Justyna Tracz (2024)
Table of Contents
Justyna Tracz 1 , Iwona Gorczyca-Głowacka 2, 3 , Marcin Wełnicki 4 , Ewa Kołodziejska 5 , Anita Rosołowska 1 , Artur Mamcarz 4 , Beata Wożakowska-Kapłon 2, 3
Introduction
Aim of research
Material and methods
Study group
Analysed data
Study endpoint
Statistical analysis
Results
Characteristics of the study group
Comparison of the clinical characteristics of women and men
Study endpoint
Analysis of factors predisposing to death in women
Analysis of the factors predisposing to death in men
Discussion
Conclusions
Acknowledgments
Conflict of interest
References
References
References
- https://www.news-medical.net/news/20240828/New-study-develops-enhanced-mortality-prediction-model-for-COPD-patients.aspx
- https://ptkt.termedia.pl/Udar-niedokrwienny-mozgu-u-kobiet-i-mezczyzn-rokowanie-wewnatrzszpitalne,67,46780,1,0.html
- https://www.telegraph.co.uk/health-fitness/conditions/heart-health/foods-to-avoid-high-blood-pressure/
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