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Accuracy of an algorithm to identify rheumatoid arthritis in the Longitudinal Ageing Study Amsterdam population: a validation study
- Source :
- Scandinavian Journal of Rheumatology, 50(4), 290-294. Informa Healthcare, ter Wee, M M, Raterman, H G, van Schoor, N M, Deeg, D J H, Lems, W F, Nurmohamed, M T & Simsek, S 2021, ' Accuracy of an algorithm to identify rheumatoid arthritis in the Longitudinal Ageing Study Amsterdam population: a validation study ', Scandinavian Journal of Rheumatology, vol. 50, no. 4, pp. 290-294 . https://doi.org/10.1080/03009742.2020.1852442
- Publication Year :
- 2021
- Publisher :
- Taylor & Francis, 2021.
-
Abstract
- Objective: In view of global ageing and the scarcity of knowledge about disease determinants in older individuals with rheumatoid arthritis (RA), an algorithm with optimal diagnostic accuracy was developed to identify RA patients in the Longitudinal Ageing Study Amsterdam (LASA). Method: Four case ascertainment algorithms were constructed and assessed for validity in LASA, an ongoing cohort study (≥ 55 years) representing the general older population of the Netherlands. Data sources used to identify the diagnosis RA were: self-reported morbidity, specialist diagnosis, and medication. A validation subsample of LASA participants was taken to verify RA diagnosis by a standard procedure using a checklist. Results: Data from 272/300 (91%) participants were verified. Four algorithms were developed: ‘treatment’, ‘diagnosis’, ‘treatment or diagnosis’, and ‘treatment and diagnosis’. The algorithm ‘treatment and diagnosis’ showed the best measurement properties: specificity 100%, positive predictive value 100%, and area under the receiver operating characteristics curve 0.72. Applying this algorithm in the LASA sample (mean age 71 years) revealed a prevalence of RA of 1.0% (19/1908 participants). Conclusion: An algorithm for RA identification in the LASA population was developed, with high diagnostic accuracy. It provides an accurate tool to identify older adults with RA in LASA and, after validation, may be applicable in other large population-based studies.
- Subjects :
- Male
Validation study
Aging
Databases, Factual
Immunology
Population
Diagnostic accuracy
Disease
Arthritis, Rheumatoid
03 medical and health sciences
0302 clinical medicine
Rheumatology
medicine
Immunology and Allergy
Humans
030212 general & internal medicine
Longitudinal Studies
education
Aged
030203 arthritis & rheumatology
Aged, 80 and over
education.field_of_study
business.industry
General Medicine
Middle Aged
medicine.disease
Ageing
Rheumatoid arthritis
Female
business
Algorithm
Algorithms
Subjects
Details
- ISSN :
- 03009742
- Database :
- OpenAIRE
- Journal :
- Scandinavian Journal of Rheumatology, 50(4), 290-294. Informa Healthcare, ter Wee, M M, Raterman, H G, van Schoor, N M, Deeg, D J H, Lems, W F, Nurmohamed, M T & Simsek, S 2021, ' Accuracy of an algorithm to identify rheumatoid arthritis in the Longitudinal Ageing Study Amsterdam population: a validation study ', Scandinavian Journal of Rheumatology, vol. 50, no. 4, pp. 290-294 . https://doi.org/10.1080/03009742.2020.1852442
- Accession number :
- edsair.doi.dedup.....3db6ccb0fdfb48843fb81de3f4f28416
- Full Text :
- https://doi.org/10.6084/m9.figshare.14216117.v1