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S965 Real-World Treatment Persistence Among Bio-Naïve Patients With Ulcerative Colitis Initiated on Ustekinumab or Adalimumab

2023· article· en· W4387733438 on OpenAlexaff
Maryia Zhdanava, Sumesh Kachroo, Aditi Shah, Sabree Burbage, Jill Korsiak, Patrick Lefèbvre, Lilián Díaz, Caroline Kerner, Dominic Pilon

Bibliographic record

VenueThe American Journal of Gastroenterology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsGroup for Research in Decision Analysis
Fundersnot available
KeywordsUstekinumabMedicineAdalimumabUlcerative colitisInternal medicineVedolizumabDisease

Abstract

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Introduction: Therapy persistence is a useful measure of real-world therapy performance, including effectiveness and safety. Biologics are used for management of moderate-to-severe ulcerative colitis (UC). This study aimed to compare treatment persistence among bio-naïve patients with UC initiated on ustekinumab or adalimumab. Methods: Adults with UC initiated on ustekinumab or adalimumab (index date) between 10/21/2019 and 03/02/2022 were selected from the IQVIA PharMetrics® Plus database. Patients were excluded if, during the 12-month baseline period before the index date, they used other UC-indicated biologics/advanced therapies or had other immune conditions. Cohorts were balanced on baseline characteristics using inverse probability of treatment weights. Persistence was defined as absence of gaps >120 days (ustekinumab) or >60 days (adalimumab) between days of therapy supply. Additionally, composite endpoints of being persistent and corticosteroid-free (< 14 consecutive days of corticosteroid supply after day 90 post-index) and persistent and on monotherapy (no immunomodulators, non-index biologics, or advanced therapies) were assessed. All endpoints were estimated during maintenance phase until earlier of 12 months follow-up, end of insurance eligibility or end of data using weighted Kaplan-Meier and Cox proportional hazards models. Results: There were 371 and 1,726 patients in the ustekinumab and adalimumab cohorts, respectively. Baseline characteristics were balanced in weighted cohorts (Table 1). At 12 months of maintenance phase, a higher proportion of patients initiated on ustekinumab compared to adalimumab were persistent on index biologic, including persistent and corticosteroid-free, and persistent and on monotherapy (Figure 1; log-rank P-values< 0.001). Patients initiated on ustekinumab had a 77% higher rate of persistence (hazard ratio [HR] 1.77; 95% confidence interval [CI]: 1.44-2.18), 58% higher rate of persistence while being corticosteroid-free (HR: 1.58; 95% CI: 1.33-1.88), and 80% higher rate of persistence while on monotherapy (HR: 1.80; 95% CI: 1.48-2.18) than those initiated on adalimumab. Conclusion: Bio-naïve patients with UC treated with ustekinumab were more persistent, including persistent while corticosteroid-free and persistent while on monotherapy, than patients treated with adalimumab. These findings may aid healthcare providers in choosing a biologic for bio-naïve patients with UC. Funded by Janssen Scientific Affairs, LLC.Figure 1.: Kaplan-Meier curves of being: a) persistent on index biologic, b) persistent and corticosteroid-free, c) persistent and on monotherapy in weighted* ustekinumab and adalimumab cohorts. *Cohorts were weighted on baseline characteristics using inverse probability of treatment weights. Table 1. - Selected baseline characteristics in weighted ustekinumab and adalimumab cohorts* Mean ± SD [median] or n (%) UstekinumabN=371 AdalimumabN=1,726 Std diff (%) Age (years) 42.0 ± 13.5 [42.1] 42.2 ± 13.9 [41.5] 0.8 Female 178 (48.1) 823 (47.7) 0.8 Any intestinal complication 59 (15.9) 239 (13.8) 5.8 Selected general comorbid condition Diarrhea 182 (49.1) 883 (51.2) 4.1 Pain 166 (44.8) 765 (44.3) 1.0 Anemia 103 (27.7) 451 (26.1) 3.5 UC-related medication Corticosteroids 283 (76.4) 1,343 (77.8) 3.5 5-ASA 284 (76.5) 1,320 (76.5) 0.1 Immunomodulators 45 (12.2) 226 (13.1) 2.9 Antidiarrheals 17 (4.7) 73 (4.2) 2.2 Concomitant medication Opioids 115 (31.0) 559 (32.4) 2.9 Antibiotics 97 (26.0) 489 (28.3) 5.2 All-cause costs (US$ 2022) 18,702 ± 35,981 [10,942] 16,889 ± 27,018 [10,420] 5.7 Pharmacy costs 5,912 ± 16,753 [3,126] 5,216 ± 9,011 [3,366] 5.2 Medical costs 12,790 ± 30,399 [5,629] 11,672 ± 25,146 [5,009] 4.0 *Cohorts were weighted on baseline characteristics using inverse probability of treatment weights; characteristics considered well balanced if standardized difference is <10%. 5-ASA: 5-aminosalicylic acid; SD: standard deviation; Std diff: standardized difference; UC: ulcerative colitis; US: United States.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.017
GPT teacher head0.255
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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