Real-world drug use in ATC and ICD-10: an expert-curated drug-diagnosis resource based on UK primary care and Danish hospitalization electronic health records

· 2026-09-08 · 原文

DOI：10.64898/2026.09.06.26362128v1?rss=1

As the use of electronic health records in drug repositioning research increases, so does the need for a well-curated resource describing real-world drug-diagnosis relationships. This need is particularly important in the context of polypharmacy. Although literature-based drug-disease maps exist, they are typically based on mechanistic disease ontologies, which are not widely used in clinical settings and do not align well with the ICD system, which is most often used in healthcare. Here, we used real-world primary and secondary healthcare data from approximately 1.5 million individuals to identify drug-diagnosis co-occurrences (~736,000 pairs), significant associations (7,763 pairs), and assess direct drug usage through medical expert curation. The final resource comprises 7,763 associati

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1. 人话版

As the use of electronic health records in drug repositioning research increases, so does the need for a well-curated resource describing real-world drug-diagnosis relationships.

This need is particularly important in the context of polypharmacy.

2. 领域脉络

Although literature-based drug-disease maps exist, they are typically based on mechanistic disease ontologies, which are not widely used in clinical settings and do not align well with the ICD system, which is most often used in healthcare.

3. 机制拆解

摘要未展开方法细节——精读时重点看方法/模型部分。

4. 证据与数字

Here, we used real-world primary and secondary healthcare data from approximately 1.5 million individuals to identify drug-diagnosis co-occurrences (~736,000 pairs), significant associations (7,763 pairs), and assess direct drug usage through medical expert curation.

The final resource comprises 7,763 associati

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