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Record W4414137478 · doi:10.1002/jvc2.70172

Treating to Target in Hidradenitis Suppurativa: Canadian Perspectives

2025· article· en· W4414137478 on OpenAlexaffabout
Wayne Gulliver, Irina Turchin, Tracey Brown‐Maher, Marni Wiseman, Lauren Lam, Jessica Asgarpour, Raed Alhusayen

Bibliographic record

VenueJEADV Clinical Practice · 2025
Typearticle
Languageen
FieldMedicine
TopicHidradenitis Suppurativa and Treatments
Canadian institutionsWomen's College HospitalUniversity of ManitobaNewfoundland and Labrador Centre for Applied Health ResearchMemorial University of NewfoundlandProbity Medical ResearchUniversity of TorontoDalhousie UniversityPetroleum Research Newfoundland and LabradorSunnybrook HospitalSt. John’s Health Sciences Centre
Fundersnot available
KeywordsHidradenitis suppurativaPsoriasisQuality of life (healthcare)DiseaseTimelineClinical PracticeDisease managementHealthcare system

Abstract

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Recently published European and North American guidelines made important contributions to the management of hidradenitis suppurativa (HS) [1, 2]. While treat-to-target (TTT) for HS has been discussed in the literature, no evidence-based parameters or outcomes have been published to date [3]. While acknowledging it as a distinctly different disease, lessons learned from psoriasis can be applied, where Canadian dermatologists pioneered the TTT approach, recommending the ideal treatment targets of psoriasis area and severity index (PASI) 100, body surface area, (BSA) 0, physician global assessment (PGA) 0, with a holistic evidence-based approach [4]. Meanwhile, with recent therapeutic advances in HS, progress has been made in defining HS disease activity and outcome measures, and thus we feel it is time for a TTT approach to be applied in HS. In addition, many dermatologist colleagues do not feel confident in identifying when to escalate treatment, and given the importance of timely interventions, a TTT approach could provide some valuable guidance. To effectively manage HS, a TTT approach must combine targets related to medical and surgical therapies, focusing on reducing inflammation, preventing disease progression and scarring, and improving quality of life [3]. Therefore, we, a group of Canadian dermatologists, propose a holistic, evidence-based TTT approach with specific timelines and outcomes to facilitate management and improve outcomes in HS. We propose the treatment targets of a minimum Hidradenitis Suppurativa Clinical Response (HiSCR) 25 at Week 12, HiSCR 50 at Weeks 24–48, and International Hidradenitis Suppurativa Severity Score System (IHS4)-55 at Weeks 24–48 (see Table 1). The target of HiSCR 25 at Week 12 is a minimal target based on data from the PIONEER studies showing that continuing weekly adalimumab past Week 12 after at least partial treatment success leads to better outcomes than dose reduction or treatment interruption [1]. It is important to initiate early and appropriate treatment including the use of rescue therapies in the interim, however based on clinical experience, some patients with severe disease may require 6–12 months of treatment to see optimal results, and treatment discontinuation would not be beneficial for these patients. To this end, identifying predictors of early response is an area of interest for future research to help guide earlier decision making. IHS4-55 at Week 24–48 IHS 90–100 after Week 48 At least 4-point reduction from baseline at Week 24–48 DLQI 0–1 after Week 48 At least 30% reduction from baseline at Week 24–48 Pain NRS 0–1 after Week 48 Furthermore, with the introduction of the new targeted and biologic therapies, treatment targets of HiSCR and IHS 90–100 can be achieved beyond 48 weeks. Specifically, these proposed treatment targets were determined based on review of recently published guidelines and data from trials for approved biologic therapies (adalimumab, secukinumab) and new and emerging therapies (bimekizumab, lutikizumab, povorcitinib, sonelokimab and upadacitinib) (see Table 2). As seen in the table, clinical response measures have evolved in trials with newer agents investigating more stringent treatment targets. Looking beyond HS disease activity scores, a clinically meaningful reduction in DLQI of 4 points from baseline and at least 30% pain reduction from baseline should be achieved within 24–48 weeks of treatment. Targets should be maintained over time and improve to include no additional tunnels and no new draining tunnels (DT), DLQI 0–1 and pain NRS 0–1 after 48 weeks (Table 1). In practice, once targets are established, close monitoring is required to assess treatment response, such that if target is not achieved, treatment adjustments are made (dose, medication switch or addition, or additional surgical management) [3]. To optimize the management of HS, it is important to combine medical and surgical interventions. With respect to TTT, we suggest all surgical interventions (deroofing, surgical excision, management of scars) be completed within 12–24 months of treatment initiation. A holistic evidence-based approach is recommended, including wound care and management of comorbidities (e.g., diabetes, hypertension, obesity, inflammatory bowel disease [IBD] and anxiety/depression) through multidisciplinary collaboration. In conclusion, we feel a TTT management approach is feasible in HS. Applying a holistic approach with evidence-based outcomes and timelines will enhance our management of this life-altering progressive disease. As seen with new and emergent therapies, complete disease control with achievement of IHS4 100, HiSCR 100 and accompanying improvement in quality of life (DLQI 0 or 1) may be achieved for many of our patients. All authors contributed to the development and review of the contents of this letter to the editor. Medical writing support provided by Jordanna Bermack, PhD. Wayne Gulliver: Grants/research support: AbbVie, Amgen, Eli Lilly, Novartis, Pfizer. Honoraria for Ad Boards/Invited Talks/Consultation: AbbVie, Actelion, Amgen, Arylide, Bausch Health, Boehringer, Celgene, Cipher, Eli Lilly, Galderma, Janssen, LEO Pharma, Merck, Novartis, PeerVoice, Pfizer, Sanofi-Genzyme, Tribute, UCB, Sun Pharma, Valeant. Other: Clinical trials (study fees): AbbVie, Asana Biosciences, Astellas, Boerhinger-Ingleheim, Celgene, Corrona/National Psoriasis Foundation, Devonian, Eli Lilly, Galapagos, Galderma, Janssen, LEO Pharma, Novartis, Pfizer, Regeneron, Sun Pharma, UCB. Irina Turchin: Received honoraria and/or grants as a consultant, speaker, or investigator from AbbVie, Amgen, Apogee Therapeutics, Arcutis, Aristea, Bausch Health, Bristol Myers Squibb, Boehringer Ingelheim, Eli Lilly and Company, Galderma, Horizon Therapeutics, Inmagene Bio, Incyte, Janssen, Kiniksa, LEO Pharma, Mallinckrodt, MoonLake Immunotherapeutics, Novartis, Pfizer, Sanofi, Sun Pharma, Takeda, UCB and Ventyx Biosciences. Tracey Brown-Maher: Received honoraria and/or educational grants as consultant, speaker from Abbvie, Actelion, Amgen, Atlantic Canada Team of Dermatology (ACTD), Bausch, Boehringer Ingelheim, Bristol Myers Squibb, Celgene, Eli Lilly, Galderma, Incyte, Innomar Strategies, JAMP, Janssen, LEO Pharma, Novartis, Pfizer, Sanofi, Sun Pharma, UCB. Clinical Trials PI: AbbVie, Alumis, Amgen, Apollo therapeutics, Bausch, BioJAMP, Bristol Myers Squibb, Celgene, Celldex Therapeutics, Corrona LLC, Dermavant Sciences, Devonian Health Group, Eli Lilly, Incyte, Insmed Inc, Janssen, LEO Pharma, Novartis, Sanofi, UCB. Marni Wiseman: Received honoraria and/or grants as a consultant from AbbVie, Amgen, Arcutis, Bausch Health, Bristol Myers Squibb, Celgene, Celltrion, Eli Lilly, Galderma, Incyte, Janssen, LEO Pharma A/S, L'Oreal, Novartis, Pfizer, Sanofi, Sun Pharma, UCB. Clinical trials PI:Acelyrin, AbbVie (previously Abbott), Akros, Alumis, Apogee, Amgen, Arcutis, Asana BioSciences, AstraZeneca, Bausch Health, Bristol Myers Squibb, Celgene, Concert Pharma, Dermavant, Dermira, Dice, Eli Lilly, Evelo, Galderma, Glenmark, Incyte, Janssen, LEO Pharma A/S, Merck Frosst Canada, Moonlake, Novartis, Pfizer, Principia, PRCL Research, Sun Pharma, Regeneron, Takeda, Timber, UCB. Lauren Lam: AbbVie, Amgen, Arcutis, Beiersdorf, Bioderma, Boehringer-Ingheim, Bristol-Meyers-Squibb, Celltrion, Eli-Lily, Galderma, Janssen, JAMP Pharma, Incyte, Kenvue, LEO Pharma, L'Oreal, Novartis, Pfizer, Sanofi, Sun Pharma, UCB. Jessica Asgarpour: Abbvie, Amgen, Arcutis, Aveeno, Bausch, Beiersdorf, Bioderma, Biojamp, BMS, Boehringer, Celltrion, Eli Lilly, Fresenius Kabi, Galderma, ICPDHM, Incyte, Janssen, J&J, Leo, La roche posay, L'Oreal, Medplan, Neutrogena, Novartis, Pfizer, Polaris, RBC consultants, Sanofi, Sunpharma, UCB. Raed Alhusayen: has received personal fees from Abbvie, Bausch health, Boehringer Ingelheim, Fresenius kabi, Janssen, Novartis, Pfizer, Sandoz, and UCB; investigator fees from Abbvie, Bausch health, Incyte, and Janssen. Not applicable. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.449
Teacher spread0.415 · 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 teacher head, not a consensus.

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

Citations1
Published2025
Admission routes2
Has abstractyes

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