Clinical diagnosis of stroke patients using SIRIRAJ stroke score and Computed Tomography

Background & Objectives: Stroke is a significant cause of disability and death globally, with ischemic and hemorrhagic types. Rapid diagnosis is critical, particularly in resource-limited settings where access to neuroimaging is restricted. Thus, this study aimed to diagnose stroke patients usingthe Siriraj Stroke Score (SSS) and computed tomography at Janaki Medical College TeachingHospital.Materials and Methods: A total of 97 stroke patients presented within 72 hours of onset atJanaki Medical College Teaching Hospital, Nepal, were included in this study. Patients wereclinically assessed using the SSS and subsequently underwent CT brain scanning to confirm thestroke subtype. The SSS was calculated based on consciousness level, headache, vomiting,atheroma markers, and diastolic blood pressure. The results from SSS were compared with the CTscan findings to determine the clinical diagnosis.Results: The study found that 56.7% of the patients had hemorrhagic strokes, with intraparenchymal hematoma being the most common subtype. The SSS showed a strong correlation with CT scan results, particularly for hemorrhagic strokes, where most patients with a score above 1 were accurately diagnosed.Conclusion: The Siriraj Stroke Score is a valuable tool for initial stroke assessment, especially insettings where advanced neuroimaging is not immediately available. The study supports usingSSS in early stroke management, which could improve patient outcomes in resource-limited environments.