Risk-stratified monitoring for sulfasalazine toxicity: prognostic model development and validation

Abstract Background Sulfasalazine induced cytopenia, nephrotoxicity, and hepatotoxicity is uncommon during long-term treatment. Some guidelines recommend three monthly monitoring blood-tests indefinitely while others recommend stopping monitoring after one year. To rationalise monitoring we developed and validated a prognostic model for clinically significant blood, liver, or kidney toxicity during established sulfasalazine treatment.<jats:sec id="s1">Design Retrospective cohort study.<jats:sec id="s2">Setting UK primary-care. Data from Clinical Practice Research Datalink Gold and Aurum formed independent development and validation cohorts.<jats:sec id="s3">Participants Age ≥18 years, new diagnosis of an inflammatory condition and sulfasalazine prescription.<jats:sec id="s4">Study period 01/01/2007 to 31/12/2019.<jats:sec id="s5">Outcome Sulfasalazine discontinuation with abnormal monitoring blood-test result.Analysis:Patients were followed-up from six months after first primary-care prescription to the earliest of outcome, drug discontinuation, death, 5 years, or 31/12/2019.Penalised Cox regression was performed to develop the risk equation. Multiple imputation handled missing predictor data. Model performance was assessed in terms of calibration and discrimination.<jats:sec id="s6">Results 8,936 participants were included in the development cohort (473 events, 23,299 person-years) and 5,203 participants were included in the validation cohort (280 events, 12,867 person-years).Nine candidate predictors were included. The optimism adjusted R2Dand Royston D statistic in the development data were 0.13 and 0.79 respectively. The calibration slope (95% confidence interval (CI)) and Royston D statistic (95% CI) in validation cohort was 1.19 (0.96-1.43) and 0.87 (0.67-1.07) respectively.<jats:sec id="s7">Conclusion This prognostic model for sulfasalazine toxicity utilises readily available data and should be used to risk-stratify blood-test monitoring during established sulfasalazine treatment.&lt;colcnt=1&gt;Evidence before this study? <jats:list list-type="bullet">Hepatic, haematological, and renal toxicity from sulfasalazine occurs uncommonly after the first-few months of treatment. Nevertheless, the manufacturers and some specialist societies e.g., the American College of Rheumatology recommend monitoring blood-tests at three monthly intervals during established treatment. Other guidelines e.g., from the British Society of Rheumatology recommend no monitoring after the first two years of treatment.It is not known whether hepatic, haematological, and renal toxicities due to sulfasalazine can be predicted and monitoring be risk-stratified.Added value of this study? <jats:list list-type="bullet">This study developed a prognostic model that discriminated patients at varying risk of sulfasalazine toxicity during long-term treatment. It had excellent performance characteristics in an independent validation cohort.The model performed well across age-groups, and in people with rheumatoid arthritis and other inflammatory conditions.Any cytopenia or liver enzyme elevation prior to start of follow-up, chronic kidney disease stage-3, diabetes, methotrexate prescription, leflunomide prescription, and age were strong predictors of sulfasalazine toxicity.Implications of all the available evidence <jats:list list-type="bullet">This prognostic model utilises information that can be easily ascertained during clinical visits. It can be used to inform decisions on the interval between monitoring blood-tests.The results of this study ought to be considered by national and international Rheumatology guideline writing groups to rationalise monitoring during long-term sulfasalazine treatment..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 21. Dez. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Abhishek, A [VerfasserIn]
Grainge, Matthew J [VerfasserIn]
Card, Tim [VerfasserIn]
Williams, Hywel C [VerfasserIn]
Taal, Maarten W [VerfasserIn]
Aithal, Guruprasad P [VerfasserIn]
Fox, Christopher P [VerfasserIn]
Mallen, Christian D [VerfasserIn]
Stevenson, Matthew D [VerfasserIn]
Nakafero, Georgina [VerfasserIn]
Riley, Richard D [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2023.12.15.23299947

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI041930657