Abstract

A 2 DS 2 Score to Predict the Risk of Stroke-Associated Pneumonia in Acute Stroke: An Indian Perspective .

Vyas, Limesh Kulshreshtha, Dinkar Maurya, Pradeep Singh, Ajai Qavi, Abdul Thacker, Anup

Abstract


Background Stroke-associated pneumonia (SAP) is an important cause of poststroke morbidity and mortality. Several clinical risk scores predict the risk of SAP. In this study, we used the A 2 DS 2 score (age, atrial fibrillation, dysphagia, sex, and stroke severity) to assess the risk of SAP in patients admitted with acute stroke. Methods A high (510) and a low (04) A 2 DS 2 score was assigned to patients with acute stroke admitted to the neurology ward. Univariate binary logistic regression analysis was performed to find the strength of association of SAP and A 2 DS 2 score. Results There were 250 patients with acute stroke of which 46 developed SAP. Forty-four patients developed SAP in high score as against 2 in low-score group (odds ratio [OR] = 0.03, 95% confidence interval [CI] = 0.010.15, p = 0.0001). A 2 DS 2 score >5 had sensitivity of 82.6% and specificity of 65.1% to predict SAP. The mean A 2 DS 2 score in patients with pneumonia was 7.02 1.40 compared to 4.75 1.92 in patients without pneumonia ( p = 0.0001). Conclusions A 2 DS 2 score has a high sensitivity of 82% in predicting the risk of SAP and is a useful tool to monitor patients after acute stroke. A 2 DS 2 score can help in timely detection and prevention of SAP and reduction in caregivers burden.


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