Development and validation of a self-updating gout register from electronic health records data
Authors' conclusion
An automatic EHR-based gout register is feasible, valid and could be used to evaluate and improve gout management.
Study context
- Population
- All patients >18 years old, tertiary academic hospital (2013–2022), outpatients and inpatients10,289 with ≥1 gout criterion
- Participants
- 2,110,902 patients
- Outcome
- PPV and NPV of the EHR query for gout, by chart reviews
Methodological detailsEHR-based query, chart review validation, single tertiary academic hospital
- EHR-based query
- Chart review validation
- Single tertiary academic hospital
Performance
As reported in the abstract
Validity of the gout register query
| Test or model | PPV | NPV |
|---|---|---|
| Gout register | 92.4% (95% CI 88.5% to 95.0%) | 94.3% (95% CI 91.9% to 96.0%) |
Gout register
PPV92.4% (95% CI 88.5% to 95.0%)
NPV94.3% (95% CI 91.9% to 96.0%)
Further findings
PPV and NPV in outpatients and inpatients
- PPV and NPV were similar among outpatients and inpatients
Characteristics of patients with gout
- Mean age (years)
- 71.2
- Age SD (years)
- 14.9
- Male
- 76.5%
- Overweight
- 69.5%
- Mean number of comorbidities
- 3
- Comorbidities IQR
- 1-5
Incidence of gout
- Incidence per 1000 person-year
- 2.9
- Drop from the COVID-19 pandemic onward
- 30%
Gout management
- Received a ULT
- 57.4%
- Gout led to a hospitalisation or ≥2 flares within a year
- 6.7%
- Received a rheumatology consultation
- 32.9%
Original publication
Development and validation of a self-updating gout register from electronic health records data. RMD Open. Published 24 April 2024. doi:10.
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