Development of a novel clinimetric tool: PAtient Reported Disease Activity Index in Rheumatoid Arthritis (PARDAI-RA) by PANLAR, for the assessment of patients living with rheumatoid arthritis.
Daniel Gerardo Fernández-ÁvilaDaniela Patiño-HernándezSocorro MorenoMaría Gabriela Ávila PedrettiÁlvaro ArbeláezAntonio Cachafeiro VilarCarlos LozadaCarlos RíosCarlos ToroClaudia RamírezGuillermo J Pons-EstelManuel Francisco Ugarte-GilMaría NarváezMiguel AlbaneseOrlando RoaOscar RuizPaula I BurgosRicardo XavierYurilis J Fuentes-SilvaEnrique Roberto SorianoPublished in: Clinical rheumatology (2024)
In this article, we present a new clinimetric tool developed based on expert consensus and on data retrieved from our search. Disease activity can be better assessed by combining various data sources, such as clinical, laboratory, and self-reported outcomes. These variables were included in our novel clinimetric tool. Key Points • The goal of treatment of RA is to achieve the best possible control of inflammation, or even remission; therefore, disease management should include systematic and regular evaluation of inflammation and health status. • Clinimetric tools evaluate a series of variables (e.g., symptoms, functional capacity, disease severity, quality of life, disease progression) and can reveal substantial prognostic and therapeutic differences between patients. • Our clinimetric tool, which is based on a combination of data (e.g., clinical variables, laboratory results, PROMs), can play a relevant role in patient assessment and care.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- ankylosing spondylitis
- rheumatoid arthritis patients
- end stage renal disease
- patient reported
- juvenile idiopathic arthritis
- newly diagnosed
- chronic kidney disease
- electronic health record
- prognostic factors
- interstitial lung disease
- patient reported outcomes
- peritoneal dialysis
- oxidative stress
- gene expression
- type diabetes
- palliative care
- metabolic syndrome
- healthcare
- systemic sclerosis
- dna methylation
- drinking water
- quality improvement
- machine learning
- case report
- idiopathic pulmonary fibrosis
- health insurance
- weight loss
- chronic pain
- artificial intelligence