Validation of new medication use algorithms as proxies for worsening disease activity in patients with juvenile idiopathic arthritis.
Pharmacoepidemiol Drug Saf
; 33(5): e5803, 2024 May.
Article
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| MEDLINE
| ID: mdl-38685851
ABSTRACT
PURPOSE:
To facilitate claims-based research on populations with juvenile idiopathic arthritis (JIA), we sought to validate an algorithm of new medication use as a proxy for worsening JIA disease activity.METHODS:
Using electronic health record data from three pediatric centers, we defined new JIA medication use as (re)initiation of disease-modifying antirheumatic drugs or glucocorticoids (oral or intra-articular). Data were collected from 201 randomly selected subjects with (101) or without (100) new medication use. We assessed the positive predictive value (PPV) and negative predictive value (NPV) based on a reference standard of documented worsening of JIA disease activity. The algorithm was refined to optimize test characteristics.RESULTS:
Overall, the medication-based algorithm had suboptimal performance in representing worsening JIA disease activity (PPV 69.3%, NPV 77.1%). However, algorithm performance improved for definitions specifying longer times after JIA diagnosis (≥1-year post-diagnosis PPV 82.9%, NPV 80.0%) or after initiation of prior JIA treatment (≥1-year post-treatment PPV 89.7%, NPV 80.0%).CONCLUSION:
An algorithm for new JIA medication use appears to be a reasonable proxy for worsening JIA disease activity, particularly when specifying new use ≥1 year since initiating a prior JIA medication. This algorithm will be valuable for conducting research on JIA populations within administrative claims databases.Palabras clave
Texto completo:
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Base de datos:
MEDLINE
Asunto principal:
Artritis Juvenil
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Algoritmos
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Antirreumáticos
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Registros Electrónicos de Salud
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Glucocorticoides
Idioma:
En
Revista:
Pharmacoepidemiol Drug Saf
Asunto de la revista:
EPIDEMIOLOGIA
/
TERAPIA POR MEDICAMENTOS
Año:
2024
Tipo del documento:
Article