Health science reports · 2025
Association of Paternal Diabetes With Hemorrhagic Stroke in Bangladeshi Women: The MAGPIE Study.
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Yusuf Md Abdullah, Ranjan Redoy, Adhikary Dipannita, Moureen Adneen, Hakim Maliha
Аннотация
BACKGROUND: 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.
METHODS: 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.
RESULTS: We evaluated a total of 1080 hemorrhagic patients with female predominance (59.5%) and similar age of onset to males (p = 0.38). Although males had significantly higher rates of hypertension (p < 0.001), diabetes (p = 0.008), chronic constipation (p = 0.03), and systolic blood pressure (p < 0.001), females were found to have significantly higher body mass index (23.1 ± 3.1 vs. 21.4 ± 2.9; p < 0.001) and paternal diabetes (9.6% vs. 4.8%; p = 0.004) compared to male. Further, the age-adjusted multivariate LR model found paternal diabetes (OR 2.1, 95% CI 1.2-3.5, p = 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, p < 0.001) with 67.7% sensitivity and 58.2% specificity presents the goodness of fit of the model.
CONCLUSION: Bangladeshi women with a history of paternal diabetes have a 2.1-fold heightened risk of HS than men.
METHODS: 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.
RESULTS: We evaluated a total of 1080 hemorrhagic patients with female predominance (59.5%) and similar age of onset to males (p = 0.38). Although males had significantly higher rates of hypertension (p < 0.001), diabetes (p = 0.008), chronic constipation (p = 0.03), and systolic blood pressure (p < 0.001), females were found to have significantly higher body mass index (23.1 ± 3.1 vs. 21.4 ± 2.9; p < 0.001) and paternal diabetes (9.6% vs. 4.8%; p = 0.004) compared to male. Further, the age-adjusted multivariate LR model found paternal diabetes (OR 2.1, 95% CI 1.2-3.5, p = 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, p < 0.001) with 67.7% sensitivity and 58.2% specificity presents the goodness of fit of the model.
CONCLUSION: Bangladeshi women with a history of paternal diabetes have a 2.1-fold heightened risk of HS than men.