Yusuf Md Abdullah, Ranjan Redoy, Adhikary Dipannita, Moureen Adneen, Hakim Maliha
Department of Microbiology National Institute of Neurosciences and Hospital Dhaka Bangladesh.
Department of Biological Sciences Royal Holloway University of London London UK.
Health Sci Rep. 2025 Apr 29;8(5):e70809. doi: 10.1002/hsr2.70809. eCollection 2025 May.
Hemorrhagic stroke (HS) accounts for ~10% of all first-time strokes, with an increasing incidence in Asia and a scarcity of information available about sex-related differences. This study investigates the independent predictors of HS among Bangladeshi women.
The Multidimensional Approach of Genotype and Phenotype in Stroke Etiology (MAGPIE) study is a Bangladeshi observational study that recruited nationwide HS patients between 2022 and 2024. We utilized univariate analysis to identify risk patterns in the data sets, whereas a multivariate logistic regression (LR) analysis identified the independent predictors of HS in women.
We evaluated a total of 1080 hemorrhagic patients with female predominance (59.5%) and similar age of onset to males ( = 0.38). Although males had significantly higher rates of hypertension ( < 0.001), diabetes ( = 0.008), chronic constipation ( = 0.03), and systolic blood pressure ( < 0.001), females were found to have significantly higher body mass index (23.1 ± 3.1 vs. 21.4 ± 2.9; < 0.001) and paternal diabetes (9.6% vs. 4.8%; = 0.004) compared to male. Further, the age-adjusted multivariate LR model found paternal diabetes (OR 2.1, 95% CI 1.2-3.5, = 0.007) as a potential independent predictor of HS in females compared to males. The area under the receiver operating characteristic (AUROC) curve of 0.67 (95% CI 0.63-0.70, < 0.001) with 67.7% sensitivity and 58.2% specificity presents the goodness of fit of the model.
Bangladeshi women with a history of paternal diabetes have a 2.1-fold heightened risk of HS than men.
出血性卒中（HS）约占所有首次卒中的10%，在亚洲发病率呈上升趋势，且关于性别差异的信息匮乏。本研究调查了孟加拉国女性中HS的独立预测因素。
卒中病因学中基因型和表型的多维方法（MAGPIE）研究是一项孟加拉国的观察性研究，在2022年至2024年期间招募了全国范围内的HS患者。我们利用单变量分析来识别数据集中的风险模式，而多变量逻辑回归（LR）分析则确定了女性HS的独立预测因素。
我们共评估了1080例出血性患者，女性占优势（59.5%），发病年龄与男性相似（P=0.38）。尽管男性的高血压（P<0.001）、糖尿病（P=0.008）、慢性便秘（P=0.03）和收缩压（P<0.001）发生率显著更高，但与男性相比，女性的体重指数显著更高（23.1±3.1 vs. 21.4±2.9；P<0.001），且父亲患糖尿病的比例更高（9.6% vs. 4.8%；P=0.004）。此外，年龄调整后的多变量LR模型发现，与男性相比，父亲患糖尿病是女性HS的潜在独立预测因素（OR 2.1，95%CI 1.2 - 3.5，P=0.007）。受试者工作特征（AUROC）曲线下面积为0.67（95%CI 0.63 - 0.70，P<0.001），敏感性为67.7%，特异性为58.2%，表明模型拟合良好。
有父亲患糖尿病史的孟加拉国女性患HS的风险比男性高2.1倍。
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