Are polypharmacy side effects predicted by public data still valid in real-world data?
Gaeun Kee, Hee Jun Kang, Imjin Ahn, Hansle Gwon, Yunha Kim, Hyeram Seo, Heejung Choi, Ha Na Cho, Minkyoung Kim, JiYe Han, Seohyun Park, Kyuwoong Kim, Tae Joon Jun, Young-Hak Kim

TL;DR
This study confirms that predicted drug interactions from public data match real-world patient outcomes, showing that combining cefpodoxime and chlorpheniramine increases lung edema risk.
Contribution
The study validates predicted polypharmacy side effects using real-world patient data, showing their clinical relevance.
Findings
Patients taking cefpodoxime and chlorpheniramine together had a higher risk of lung edema than those taking either drug alone.
Real-world data confirmed the prediction model's findings about the cefpodoxime-chlorpheniramine-lung edema interaction.
Using real-world data improves the accuracy of adverse event prediction models for drug combinations.
Abstract
Although interest in predicting drug-drug interactions is growing, many predictions are not verified by real-world data. This study aimed to confirm whether predicted polypharmacy side effects using public data also occur in data from actual patients. We utilized a deep learning-based polypharmacy side effects prediction model to identify cefpodoxime-chlorpheniramine-lung edema combination with a high prediction score and a significant patient population. The retrospective study analyzed patients over 18 years old who were admitted to the Asan medical center between January 2000 and December 2020 and took cefpodoxime or chlorpheniramine orally. The three groups, cefpodoxime-treated, chlorpheniramine-treated, and cefpodoxime & chlorpheniramine-treated were compared using inverse probability of treatment weighting (IPTW) to balance them. Differences between the three groups were analyzed…
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Taxonomy
TopicsPharmaceutical Practices and Patient Outcomes · Health Systems, Economic Evaluations, Quality of Life · Blood Pressure and Hypertension Studies
