Early Real-World Experience of Tofacitinib for Psoriatic Arthritis: Data from a United States Healthcare Claims Database
Bibliographic record
Abstract
This study characterized real-world demographic and baseline clinical characteristics, as well as treatment persistence and adherence, in patients with psoriatic arthritis (PsA) who had newly initiated tofacitinib treatment. This retrospective cohort study included patients aged 18 years or older in the IBM MarketScan™ US database with at least one tofacitinib claim (first = index) between December 14, 2017 and April 30, 2019; PsA diagnoses on/within 12 months pre-index; and no diagnoses of rheumatoid arthritis any time pre-index. Patients were continuously enrolled for 12 months pre-index and 6 months post-index, with no pre-index claims for tofacitinib. Patient demographic and clinical characteristics on the day of index, and history of advanced treatments (including tofacitinib monotherapy or combination therapy), were recorded. Outcomes at 6 months post-index included tofacitinib persistence (less than 60-day gap without tofacitinib treatment) and adherence (proportion of days covered [PDC] and medication possession ratio 80% or higher). Of the 10,354 patients with tofacitinib claims within the study period, 318 patients with PsA met the inclusion criteria. More than 60% of patients received tofacitinib monotherapy post-index, with a mean duration of PsA of 760.5 days at index. For patients who received tofacitinib combination therapy post-index, methotrexate was the most common concomitant conventional synthetic disease-modifying antirheumatic drug. At 6 months post-index, persistence was similar in patients receiving tofacitinib monotherapy (69.8%) versus combination therapy (73.1%); adherence (as measured by PDC ≥ 0.8) was numerically lower in patients receiving tofacitinib monotherapy (56.8%) versus combination therapy (65.5%). This analysis of US-based claims data described patients who had newly initiated tofacitinib treatment an average of 2 years after PsA diagnosis, with approximately two-thirds of patients receiving tofacitinib monotherapy. Observed rates of tofacitinib persistence were similar across patients who received tofacitinib monotherapy and combination therapy 6 months after initiation; adherence rates were numerically lower in patients receiving monotherapy. Tofacitinib is a drug approved to treat patients with psoriatic arthritis (PsA) that has been shown to improve PsA symptoms and quality of life in controlled clinical trials. However, there is not much information on everyday use of tofacitinib outside of clinical trials in the USA. This study is one of the first to describe the characteristics of patients with PsA in the USA who take tofacitinib, including their typical age, sex, where they live, how long they have had PsA, and how they use tofacitinib. Use of tofacitinib included how patients followed tofacitinib prescription timings and dose (adherence) and how long they took tofacitinib for after it was prescribed (persistence). We used data collected from a US health insurance claims database (IBM MarketScan™) for patients with PsA and at least one claim for tofacitinib. In total, 318 patients were included and over 60% of them received tofacitinib therapy only (monotherapy; no conventional synthetic disease-modifying antirheumatic drug [csDMARD] therapy). For patients treated with both tofacitinib and a csDMARD (combination therapy), methotrexate was the most common drug prescribed. Six months after their first prescription of tofacitinib, around 70% of patients were still taking tofacitinib (monotherapy or combination therapy). However, a slightly lower number of patients taking tofacitinib monotherapy were taking it as originally instructed (adherence 57%), compared with those taking tofacitinib combination therapy (adherence 66%). Our results provide valuable information on the use of tofacitinib in US real-life settings outside of clinical trials and could help to improve the quality of care for patients with PsA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".