Diagnostic accuracy of CHA2DS2-Vasc score to predict the risk of sudden cardiac death in patients with atrial fibrillation
DOI:
https://doi.org/10.55958/jcvd.v19i1.118Keywords:
Atrial Fibrillation, Sudden Cardiac Death, CHA2DS2-VASc score.Abstract
BACKGROUND: Patients diagnosed with atrial fibrillation patients are much more likely to die suddenly than those without the condition (SCD). For those with an atrial fibrillation diagnosis, the CHA2DS2-WASc score can be used to determine the likelihood of unanticipated cardiac death. The goal of the current study was to determine how well the CHA2DS2-VASC score worked in predicting the chance of unexpected cardiac death in atrial fibrillation patients. The objective of this research was to study the diagnostic precision of the CHA2DS2-VASC score in estimating the likelihood of unanticipated cardiac death in patients with atrial fibrillation.
METHODOLOGY: The study was conducted within six months i.e. from 11th February 2020 till 10th August 2020. Hospital record of 251 patients was taken who fulfilled the inclusion criteria. Demographic details, ECG findings and risk factors were noted down from the record of the patients. CHA2DS2-VASc score was calculated and was subjected to statistical analysis.
RESULTS: The mean age of the patients was 59.37±10.866, mean CHA2DS2-VASc score was 3.35±2.938. There were 61.8% males and 38.2% females. The sudden cardiac death was present in 26.3% of the patients with atrial fibrillation. The results showed that age, gender, socioeconomic status, diabetes, hypertension, previous history of stroke and BMI were significantly associated with sudden cardiac death as indicated by a p-value of <0.05. CHA2DS2-VASc score had a sensitivity of 77.2%, specificity of 81%, positive predictive value of 58.7%, negative predictive value 90.9% and a diagnostic accuracy of 79.7% for predicting risk of sudden cardiac death.
CONCLUSION: The diagnostic accuracy of the CHA2DS2-VASc score was 79.7% among patients having atrial fibrillation for predicting sudden cardiac death, making it an effective predictor.
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