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

Abstract

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.