Neuroimaging Findings and Their Prognostic Value in Acute Ischaemic Stroke Patients at University of Maiduguri Teaching Hospital (UMTH), Borno State, Nigeria
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Accurate prediction of stroke outcomes in resource-limited settings remains challenging. This study assessed the utility of neuroimaging findings in predicting mortality among acute ischaemic stroke patients at the University of Maiduguri Teaching Hospital, Nigeria. Methodology: This prospective study enrolled 171 consecutive adults with acute ischaemic stroke between January and December 2023. All patients underwent non-contrast brain CT scanning, with infarct volume calculated using standardized measurements. The primary outcome was 30-day mortality. Multivariate logistic regression analysis identified independent predictors of mortality, which were used to develop a risk stratification system. Results: ) emerged as the strongest independent predictor of mortality (aOR 6.82, 95% CI 2.0522.68, p=0.002), followed by multiple territory involvement (aOR 3.42, 95% CI 1.43-8.17, p=0.006). The developed risk score demonstrated good discriminative ability (AUC 0.775, 95% CI 0.689-0.860) and stratified patients into three risk categories with mortality rates of 8.2% (low), 11.8% (intermediate), and 42.0% (high) (p<0.001). Conclusion: Specific neuroimaging parameters can effectively predict early mortality in acute ischaemic stroke. The developed risk stratification tool could improve patient care in resource-limited settings.
Source: PubMed
Authors: Musa, Iko, Joseph, Musa, Musa, Zakka, Vivian Kehinde, Vinah, Adesoye Tunwagun, David, Chineze Igweike, Rita, Udan Kawai, Cynthia, Maina Yaga, Jeremiah, Khalil Ja'afar, Ibrahim, Akwum Olokpo, Mercy, Manmak Paul, Grace, Lauretta Chukwu, Ifeoma, Ungut Kanhu, Patience, Onyekachi Amanum, Innocent, Yakub, Yusuf, Onyemaechi Mogbolu, Wisdom
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4412650148