Risk factors among stroke subtypes and its impact on the clinical outcome of patients of Northern Portugal under previous aspirin therapy

Freitas-Silva, Margarida; Medeiros, Rui; Nunes, José Pedro L.

doi:10.1016/j.clineuro.2021.106564

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Cited by 2 publications

References 45 publications

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Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes

de Andrade,

Mohr,

Lima

et al. 2023

Journal of Clinical Neuroscience

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Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes

de Andrade,

Mohr,

Lima

et al. 2023

Journal of Clinical Neuroscience

View full text Add to dashboard Cite

Guideline-Guided Prognostic Models of Mortality Following First-Ever Ischemic Stroke

Mohammed

2024

Preprint

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This study aimed to develop and validate guideline-guided prognostic models for predicting mortality in patients with first-ever ischemic stroke. The study included 899 adult patients (≥ 18 years) with confirmed diagnosis of first-ever ischemic stroke from the National Stroke Registry (NSR) of Malaysia (2009–2020). The primary outcome assessed was post stroke mortality within 90 days. Multivariable regression was used to develop (75%, n = 674) and internally validated (25%, n = 225). Model performance was evaluated using discrimination [area under the receiver operating characteristic curve (AUROC) and calibration [Hosmer-Lemeshow test (HLT)]. The final prognostic model included age ≥ 60 years [adjusted odds ratio, aOR 2.39, 95% confidence interval, CI (1.37–4.18)], Glasgow Coma Scale (GCS) score of ≤ 8 [2.66, (1.31–5.40)], diabetes [2.42 (1.41–4.16)], and non-adherence to antiplatelet therapy within 48 hours [2.30 (1.26–4.20)], dysphagia screening [2.90 (1.63–5.17)], antiplatelet therapy at discharge [3.63 (2.07–6.36)], lipid-lowering therapy [2.09 (1.10-4.00)], stroke education [39.61 (21.92–71.57)] and rehabilitation [10.75 (6.00-19.25)]. The prognostic model demonstrated good validation performance, with an AUROC of 0.94 (HL p = 0.630). The study demonstrates that the guideline-guided prognostic models developed are effective in predicting mortality after a first-ever ischemic stroke. The model holds considerable promise for enhancing clinical decision-making and patient care. Additionally, risk scores generated from these models could be valuable for creating risk calculators, aiding healthcare providers, patients, and other stakeholders in making well-informed clinical decisions in managing patients with stroke.

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Risk factors among stroke subtypes and its impact on the clinical outcome of patients of Northern Portugal under previous aspirin therapy

Cited by 2 publications

References 45 publications

Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes

Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes

Guideline-Guided Prognostic Models of Mortality Following First-Ever Ischemic Stroke

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