Joint bone spine · 2023
Validation of gout diagnosis in electronic primary care medical records: A population-based study.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Pou Maria A, Martinez-Laguna Daniel, Estebanez Jose L, Aivar Meritxell, Gayarre Raquel, Conesa Angels, Hoyo Jordi, Carbonell Cristina, Reyes Carlen, Diaz-Torne Cesar
Аннотация
OBJECTIVE: The main objective of the study was to see the concordance between the diagnosis of gout recorded in primary care electronic medical records and the ACR/EULAR 2015 classification criteria.
METHODS: A cross-sectional study was conducted using electronic medicals records in 7 primary care centres of Barcelona. Patients' data to study clinical diagnose and management was gathered from the primary care electronic medical records of the Catalonian health institute (Institut Català de la Salut, ICS) and phone interview. Patients were considered to have gout if they scored 8 or more points on the EULAR/ACR 2015 classification criteria for gout.
RESULTS: In total, 70.9% of the patients with a gout diagnosis met ACR/EULAR 2015 criteria. Adding a hyperuricemia in a blood test in the EMR increased the percentage to 78.9%. 29.8% of the gout patients were not receiving urate-lowering therapy. 62.3% of the treated patients did not achieve the target uricemia (< 6mg/dL).
CONCLUSIONS: The majority of gout patients from primary care electronic medical records fulfil ACR/EULAR gout criteria. This database can be used for observational studies. In most of the gout patients the urate target was not achieved.
METHODS: A cross-sectional study was conducted using electronic medicals records in 7 primary care centres of Barcelona. Patients' data to study clinical diagnose and management was gathered from the primary care electronic medical records of the Catalonian health institute (Institut Català de la Salut, ICS) and phone interview. Patients were considered to have gout if they scored 8 or more points on the EULAR/ACR 2015 classification criteria for gout.
RESULTS: In total, 70.9% of the patients with a gout diagnosis met ACR/EULAR 2015 criteria. Adding a hyperuricemia in a blood test in the EMR increased the percentage to 78.9%. 29.8% of the gout patients were not receiving urate-lowering therapy. 62.3% of the treated patients did not achieve the target uricemia (< 6mg/dL).
CONCLUSIONS: The majority of gout patients from primary care electronic medical records fulfil ACR/EULAR gout criteria. This database can be used for observational studies. In most of the gout patients the urate target was not achieved.