CT Detection of Subarachnoid Hemorrhage Correlated with Clinical Severity Using Hunt and Hess Grading

Abstract

Objective:  The objective of this study was to determine the diagnostic accuracy of computed tomography for detecting subarachnoid hemorrhage and to evaluate its correlation with clinical severity using the Hunt and Hess grading system.

Materials & Methods:  A cross-sectional descriptive study was conducted at the Kuwait Teaching Hospital, Peshawar. A total of 376 patients presenting with symptoms suggestive of subarachnoid hemorrhage were included. Computed tomography scans were performed, and findings were recorded regarding the presence and distribution of hemorrhage. Clinical grading was performed using the Hunt and Hess scale at admission. Data were analyzed to establish a correlation between radiological findings and clinical severity.

Results:  The mean age of participants was 54.6 years, with a male predominance. Computed tomography demonstrated a high detection rate within the first twenty-four hours after symptom onset. A strong positive correlation was observed between the extent of bleeding on computed tomography and Hunt and Hess grades. Patients with higher grades frequently exhibited basal cisternal and intraventricular extension. Statistical analysis confirmed a significant association between radiological burden and clinical severity.

Conclusion:  Computed tomography remains a reliable first-line imaging modality for early detection of subarachnoid hemorrhage and provides prognostic information through correlation with Hunt and Hess grading.