Aspiration pneumonia (AP) in older persons is associated with oropharyngeal dysphagia (OD) and is estimated to account for 5-15% of cases of community-acquired pneumonia (CAP).
Artificial Intelligence Massive Screening for OD (AIMS-OD) is an algorithm for identifying OD in older patients on hospital admission using data from electronic health records (EHR). We aimed to assess the prevalence of OD among older patients hospitalized with pneumonia and thus estimate the underdiagnosis of AP based on AIMS-OD.
A retrospective observational study included 15,603 patients older than 65 years who were admitted for pneumonia to a general hospital between 2013 and 2022.
Clinical data were obtained from EHR. AIMS-OD is an accurate diagnostic algorithm (AUCROC > 0.79, specificity 0.92, PPV 0.86, NPV 0.58) for OD using AI and machine learning.