Determinants of some risk factors affecting stroke patients’ survival

Ridwan Abiodun Alimi 1, *, Olumayowa Adeleke Idowu 2, Taiwo Akindahunsi 3, Tinuade Bolutife Dawotola 4 and Waliu Akinbami Lamidi 1

1 Department of Statistics, University of Ilorin, Kwara State, Nigeria.
2 Department of Political Science, Clemson University, South Carolina, USA.
3 Department of Neurosurgery, Johns Hopkins School of Medicine, Rutland Ave, Baltimore, Maryland, USA.
Department of Mathematics, Western Illinois University, Macomb, Illinois, USA.
 
Research Article
International Journal of Science and Research Archive, 2024, 13(01), 493–502.
Article DOI: 10.30574/ijsra.2024.13.1.1692
 
Publication history: 
Received on 20 July 2024; revised on 09 September 2024; accepted on 11 September 2024
 
Abstract: 
This study aimed to identify the primary risk factors affecting the survival of stroke patients receiving follow-up care using the University of Ilorin Teaching Hospital as a case study. We analyzed data from 390 patients, 120 of whom were female, and 270 males, between 2021 and 2022. Shockingly, 27.5% of the female patients and 57.7% of the male patients passed away during the study. Of the 225 patients with high blood pressure, 72% experienced the event. A total of 162 individuals with cardiac disease suffered mortality, while 33 of the 85 patients with diabetes mellitus passed away. Hemorrhagic and ischemic strokes were prevalent, resulting in 45 and 102 deaths, respectively, while 96 out of the 204 patients with baseline complications succumbed. The Cox regression analysis identified hypertension, gender, and baseline complication as the most significant factors affecting mortality rates. Univariate analysis revealed that stroke type, drug type, and patient age were significant, but not at the multivariate stage. Although gender, baseline complication, and hypertension were insignificant, the results revealed no statistically significant difference in survival probability among groups categorized by diabetes mellitus, cardiac disease, stroke type, or drug type.
 
Keywords: 
Stroke patients; Risk factors; Survival rate; Follow-up care; Teaching Hospital; Mortality; Cox regression analysis
 
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