Validation of risk scoring models for predicting stroke-associated pneumonia in patients with ischaemic stroke. Issue 3 (7th October 2016) - Gong, Siyin
Abstract : Objective: Various risk scoring models have been developed to predict stroke-associated pneumonia (SAP). We aim to determine whether these risk models could effectively predict SAP in Chinese patients with ischaemic stroke (IS). Methods: Consecutive patients with IS in West China hospital between January 2011 and September 2013 were included to assess the predictive performance of risk scoring models, including Chumbler's score, A 2 DS 2 and AISAPS. The area under the receiver operating characteristic curve (AUROC) was used to evaluate the performance of each risk model in predicting pneumonia. Results: A total of 1569 consecutive patients with IS within 30 days of onset in West China hospital were included. The incidence of pneumonia is 15.3%. The AUROC of Chumbler's score, A 2 DS 2 and AISAPS was 0.659, 0.728 and 0.758, respectively, and AISAPS had the highest AUROC. Conclusions: A 2 DS 2 and AISAPS had acceptable discriminatory abilities to predict SAP in Chinese patients with IS within 30 days of onset.