Purpose: Polypharmacy can cause drug-related problems, such as potentially inappropriate medication (PIM) use and medication regimen complexity in the elderly. This study aimed to investigate the feasibility and effectiveness of a collaborative medication review and comprehensive medication reconciliation intervention by a pharmacist and hospitalist for older patients. Materials and Methods: This comprehensive medication reconciliation study was designed as a prospective, open-label, randomized clinical trial with patients aged 65 years or older from July to December 2020. Comprehensive medication reconciliation comprised medication reviews based on the PIM criteria. The discharge of medication was simplified to reduce regimen complexity. The primary outcome was the difference in adverse drug events (ADEs) throughout hospitalization and 30 days after discharge. Changes in regimen complexity were evaluated using the Korean version of the medication regimen complexity index (MRCI-K). Results: Of the 32 patients, 34.4% (n=11/32) reported ADEs before discharge, and 19.2% (n=5/26) ADEs were reported at the 30-day phone call. No ADEs were reported in the intervention group, whereas five events were reported in the control group (p=0.039) on the 30-day phone call. The mean acceptance rate of medication reconciliation was 83%. The mean decreases of MRCI-K between at the admission and the discharge were 6.2 vs. 2.4, although it was not significant (p=0.159). Conclusion As a result, we identified the effect of pharmacist-led interventions using comprehensive medication reconciliation, including the criteria of the PIMs and the MRCI-K, and the differences in ADEs between the intervention and control groups at the 30-day follow-up after discharge in elderly patients.Trial Registration: (Clinical trial number: KCT0005994)

OBJECTIVES: Major public high-throughput functional genomic data repositories, including the Gene Expression Omnibus (GEO) and ArrayExpress have rapidly expanded. As a result, a large number of diverse high-throughput functional genomic data retrieval systems have been developed. However, high-throughput functional genomic data retrieval remains challenging. METHODS: We developed Gene Expression data Explore (GEE), the first powerful, flexible web and mobile search application for searching whole-genome epigenetic data and microarray data in public databases, such as GEO and ArrayExpress. RESULTS: GEE provides an elaborate, convenient interface of query generation competences not available via various high-throughput functional genomic data retrieval systems, including GEO, ArrayExpress, and Atlas. In particular, GEE provides a suitable query generator using eVOC, the Experimental Factor Ontology (EFO), which is well represented with a variety of high-throughput functional genomic data experimental conditions. In addition, GEE provides an experimental design query constructor (EDQC), which provides elaborate retrieval filter conditions when the user designs real experiments. CONCLUSIONS: The web version of GEE is available at http://www.snubi.org/software/gee, and its app version is available from the Apple App Store.
Base Sequence ; Epigenomics ; Gene Expression* ; Informatics* ; Information Storage and Retrieval ; Microarray Analysis ; Mobile Applications ; Research Design ; Search Engine