Key result
AISAPS score best predicts stroke-associated pneumonia in ischemic stroke with an AUROC of ~0.76.
Why the study?
Various risk scoring models have been developed to predict stroke-associated pneumonia, but their effectiveness in Chinese patients with ischaemic stroke was unclear.
Do risk scoring models (Chumbler's score, A2DS2, AISAPS) effectively predict stroke-associated pneumonia in Chinese patients with ischaemic stroke?
Observational (n=1,569)
No
Do risk scoring models (Chumbler's score, A2DS2, AISAPS) effectively predict stroke-associated pneumonia in Chinese patients with ischaemic stroke?
Effect estimate: AUROC 0.758
p-value: p=<0.001
A2DS2 and AISAPS risk scoring models have acceptable discriminatory abilities to predict stroke-associated pneumonia in Chinese patients with ischaemic stroke.
A2DS2 and AISAPS may aid pneumonia risk stratification in Chinese ischaemic stroke; hypothesis-generating and requires prospective validation.
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, A2DS2 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, A2DS2 and AISAPS was 0.659, 0.728 and 0.758, respectively, and AISAPS had the highest AUROC. Conclusions A2DS2 and AISAPS had acceptable discriminatory abilities to predict SAP in Chinese patients with IS within 30 days of onset.
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Gong et al. (2016) conducted an observational in Ischaemic stroke (n=1,569). Risk scoring models (AISAPS, A2DS2, Chumbler's score) was evaluated on Discriminatory ability (AUROC) for predicting stroke-associated pneumonia (AUROC 0.758, p=<0.001). The AISAPS risk scoring model demonstrated the highest discriminatory ability for predicting stroke-associated pneumonia in Chinese patients with ischaemic stroke, achieving an AUROC of 0.758.
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