Comparison of accuracy, sensitivity and specifity of Bahrudin score vs Siriraj score vs Gajah Mada algorithm in diagnosing type of stroke

Introduction: Rapid diagnosis is crucial for stroke patients since it is an emergency that may result in morbidity and mortality. The gold standard, which is a CT scan of the brain is not always feasible, hence, Siriraj and Bahrudin Score, as well as Gajah Mada Algorithm are likely to be alternatives. Objectives: This study aims to determine the specificity and sensitivity of the Siriraj and Bahrudin Score as well as Gajah Mada Algorithm. Method: A cross-sectional study was undertaken at five network hospitals of the Medical Faculty University in Muhammadiyah Malang. It involves a sample of 304 medical records used to determine the sensitivity, specificity, accuracy, and receiver operating characteristic (ROC) curve with output area under the curve (AUC). Result: The result showed that the sensitivity and specificity of Bahrudin and Siriraj Acore, as well as Gajah Mada Algorithm for determining infarct stroke was 91.3% vs 89.7% vs 61.2% and 67.7% vs 69.4% vs 77.4%, respectively. For determining hemorrhagic stroke the values were 67.7% vs 69.4% vs 77.4% and 91.3% vs 89.7% vs 61.2%, respectively. Furthermore, the area under the curve of Bahrudin and Siriraj Scores was better than Gajah Mada Algorithm. Conclusion: In conclusion, Bahrudin and Siriraj Scores have good accuracy, sensitivity, and specificity in diagnosing stroke than Gajah Mada Algorithm.