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# Published rules for detecting statin intolerance agree poorly with Australian GP records
- URL: https://www.coios.me/published-rules-for-detecting-statin-intolerance-agree/
- Published: 2026-10-14T12:42:11.000Z
- Updated: 2026-10-14T17:44:11.000Z
- Description: Statin intolerance was recorded in 5.09% of Australian primary-prevention statin users, and none of six published rules for detecting it from records matched a locally developed reference standard consistently.
- Author: Daniel Ryan
- Tags: Data, models and systems, Revisions and new sources, Heart and stroke, Australia, #preprint, #new, #item, #source-2026-10

The study implemented six published rules for detecting statin intolerance from electronic records in an Australian general-practice research network dataset. Each rule was then tested against a reference standard developed locally for that dataset. Among patients prescribed statins for primary prevention, 5.09% met the reference standard, at the lower end of the 5-15% reported in Australia and internationally. The most sensitive rule picked up 92.95% of these patients, but was correct on only 57.05% of all patients it classified. Another rule wrongly flagged almost no one, with specificity of 99.13%, and 76.19% of those it did flag met the reference standard. Agreement was weak for every rule, and the reference standard itself came from a single research network.

*Why it is interesting: Rules for detecting statin intolerance from records are being proposed as the basis for prescribing decision support. Applied to the same Australian records, they picked out substantially different patients, and none matched the local reference standard.*

Source

[medRxiv, 12 October 2026](https://doi.org/10.1101/2025.11.04.25339533?ref=coios.me)

Paper

Electronic health record (EHR)-detectable statin intolerance phenotypes: Prevalence and validation in real-world general practice

Authors

Rakhshanda S, Rhee J, Liaw S, Rye K, Jonnagaddala J

DOI

10.1101/2025.11.04.25339533

Type

Preprint

Design

Implementation and validation of six published EHR phenotyping algorithms against a locally developed reference standard in an Australian general-practice research network dataset

Verdict

New finding

Driver

[Revisions and new sources](https://www.coios.me/d-data-sources/)

Driver

[Heart and stroke](https://www.coios.me/d-cardiovascular/)