Development and validation of a prognostic model for leflunomide discontinuation with abnormal blood tests during long-term treatment: cohort study using data from the Clinical Practice Research Datalink Gold and Aurum.

drug toxicity leflunomide monitoring psoriatic arthritis rheumatoid arthritis

Journal

Rheumatology (Oxford, England)
ISSN: 1462-0332
Titre abrégé: Rheumatology (Oxford)
Pays: England
ID NLM: 100883501

Informations de publication

Date de publication:
06 07 2022
Historique:
received: 20 07 2021
revised: 19 10 2021
pubmed: 1 11 2021
medline: 9 7 2022
entrez: 31 10 2021
Statut: ppublish

Résumé

To develop and validate a prognostic model for LEF discontinuation with abnormal blood test results. Data from the Clinical Practice Research Datalink Gold and Aurum were used for model development and external validation, respectively. Participants prescribed LEF between 1 January 2007 and 31 December 2019 were followed up from 6 months after the first general practitioner prescription to the earliest of date of outcome, death, 5 year follow-up or 31 December 2019. Candidate prognostic factors were ascertained using theory and data-driven approaches. Penalized Cox regression was performed to develop the risk equation, followed by internal validation using 500 bootstraps to correct for optimism. Multiple imputation was applied to handle missing data. Model performance was assessed in terms of calibration and discrimination. Data for 1487 and 2329 participants contributing 3140 and 5246 person-years follow-up were included in the development and validation cohorts, respectively. Thirteen candidate predictors were included in the model. Epilepsy and either cytopenia or elevated liver enzymes during the first 6 months of shared-care LEF prescription were strong predictors of drug discontinuation with a hazard ratio of 4.39 (95% CI 1.74, 11.06) and 3.06 (2.15, 4.35), respectively. The unadjusted and optimism-adjusted calibration slope in development data was 1.00 (95% CI 0.75, 1.25) and 0.72 (95% CI 0.47, 0.97), respectively. The calibration slope in validation data was 0.91 (95% CI 0.74, 1.07). The model showed prognostic separation with an optimism-adjusted Royston D statistic of 0.73 (95% CI 0.44, 1.02). We have developed and externally validated an easy-to-use prognostic model that may be used to risk stratify monitoring for LEF toxicity and to make informed choices about risks when choosing treatments.

Identifiants

pubmed: 34718430
pii: 6412578
doi: 10.1093/rheumatology/keab790
pmc: PMC9258529
doi:

Substances chimiques

Leflunomide G162GK9U4W

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2783-2791

Subventions

Organisme : Department of Health
ID : PB-PG-1217-20030
Pays : United Kingdom

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the British Society for Rheumatology.

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Auteurs

Matthew J Grainge (MJ)

Population and Lifespan Sciences.

Tim Card (T)

Population and Lifespan Sciences.
Nottingham Digestive Diseases Centre, School of Medicine.

Maarten W Taal (MW)

Centre for Kidney Research and Innovation, University on Nottingham.

Guruprasad P Aithal (GP)

Nottingham Digestive Diseases Centre, School of Medicine.
NIHR Nottingham BRC, Nottingham University Hospitals NHS Trust and the University of Nottingham.

Weiya Zhang (W)

Academic Rheumatology.

Michael Doherty (M)

Academic Rheumatology.

Christopher P Fox (CP)

Department of Haematology, Nottingham University Hospital NHS Trust, Nottingham.

Christian D Mallen (CD)

Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK.

Abhishek Abhishek (A)

Academic Rheumatology.
NIHR Nottingham BRC, Nottingham University Hospitals NHS Trust and the University of Nottingham.

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