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Record W4391610118 · doi:10.1093/bjd/ljad498.063

568 - Persistent inadequate disease control and therapeutic inertia in moderate-to-severe atopic dermatitis: a 12-month longitudinal analysis of real-world outcomes from TARGET-DERM registry

2024· article· en· W4391610118 on OpenAlexaboutno aff
Lawrence F. Eichenfield, Ayman Grada, Keith Knapp, Breda Muñoz, Julie M. Crawford, Jonathan I. Silverberg

Bibliographic record

VenueBritish Journal of Dermatology · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAtopic dermatitisMedicineDiseasePediatricsDermatologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Therapeutic inertia refers to the delay or failure to escalate treatment in patients who are not achieving adequate disease control and poses a challenge in the management of moderate-to-severe atopic dermatitis (AD). Despite the availability of conventional (CST) and advanced systemic therapies (AST) currently utilized for the treatment of moderate to severe AD, many patients do not achieve treatment success. However, the extent of this inadequacy in real-world clinical practice remains underexplored. Objectives This study aims to evaluate the occurrence therapeutic inertia (assessed as non-escalation of therapy despite limited disease control) and the proportion of patients with moderate-to-severe AD who continue to show an inadequate response after receiving systemic therapies for a duration ranging from 3 to 12 months. Methods We conducted a longitudinal analysis of patients with moderate-to-severe AD (vIGA-AD≥3) from the TARGET-DERM AD registry, including 3,457 participants from 39 centers in the U.S. and Canada. Eligible patients had documented outcomes at the initiation of systemic therapy and after 3 months up to 12 months of follow up. We assessed clinician- and patient-reported outcomes to identify the proportion of patients not meeting pre-defined targets based on expert consensus. An inadequate response was defined as not achieving a validated Investigator Global Assessment (vIGA-AD) score ≤2, a 50% improvement in Body Surface Area (BSA), and a ≥4-point reduction in the Worst Pruritus Numeric Rating Scale (WP-NRS). An optimal response was defined as a vIGA-AD score ≤1 (clear or almost clear skin), BSA ≤2%, and WP-NRS itch score of 0/1 (complete or almost complete skin resolution). Results Out of 2,107 patients with moderate-to-severe AD, 445 met the inclusion criteria. The majority were adults (63.8%), female (62.0%), and Non-Hispanic White (45.4%), with an average age of 31 years. Most patients (88.8%) initiated treatment with AST, with dupilumab being the most common (86.5%). The mean vIGA-AD was 3.3 for AST and 3.6 for CST at initiation (P<0.01). At 6 months, 37% and 67% of AST-treated patients had inadequate responses in terms of skin clearance and itch outcomes, respectively, while 82% and 79% did not achieve optimal responses. At 12 months, these figures were approximately 30% and 66% for inadequate responses and 85% and 88% for not achieving optimal responses, respectively. CST-treated patients showed a similar trend. Conclusions The study reveals a significant portion of moderate-to-severe AD patients fail to achieve adequate disease control with systemic therapies over 12 months, indicating a substantial presence of therapeutic inertia. These findings suggest a need for more proactive management strategies in AD treatment.

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)0.004
metaresearch head score (Gemma)0.006
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.017
GPT teacher head0.273
Teacher spread0.256 · 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".

Quick stats

Citations6
Published2024
Admission routes1
Has abstractyes

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