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. 2020 Oct;183(4):702-709.
doi: 10.1111/bjd.18883. Epub 2020 Apr 3.

The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials

Affiliations

The Alopecia Areata Investigator Global Assessment scale: a measure for evaluating clinically meaningful success in clinical trials

K W Wyrwich et al. Br J Dermatol. 2020 Oct.

Abstract

Background: Content-valid and clinically meaningful instruments are required to evaluate outcomes of therapeutic interventions in alopecia areata (AA).

Objectives: To develop an Investigator's Global Assessment (IGA) to interpret treatment response in AA treatment studies.

Methods: Qualitative interviews were conducted in the USA with expert dermatologists and with patients with AA who had experienced ≥ 50% scalp-hair loss. Thematic data analysis identified critical outcomes and evaluated the content validity of the new IGA.

Results: Expert clinicians (n = 10) judged AA treatment success by the amount of scalp-hair growth (median 80% scalp hair). Adult (n = 25) and adolescent (n = 5) patients participated. Scalp-hair loss was the most bothersome AA sign/symptom for most patients. Perceived treatment success - short of 100% scalp hair - was the presence of ~ 70-90% scalp hair (median 80%). Using additional clinician and patient insights, the Alopecia Areata Investigator Global Assessment (AA-IGA™) was developed. This clinician-reported outcome assessment is an ordinal, static measure comprising five severity categories of scalp-hair loss. Nearly all clinicians and patients in this study agreed that, for patients with ≥ 50% scalp-hair loss, successful treatment would be hair regrowth resulting in ≤ 20% scalp-hair loss.

Conclusions: We recommend using the Severity of Alopecia Tool to assess the extent (0-100%) of scalp-hair loss. The AA-IGA is a robust ordinal measure providing distinct and clinically meaningful gradations of scalp-hair loss that reflects patients' and expert clinicians' perspectives and treatment expectations. What is already known about this topic? The Severity of Alopecia Tool is widely used to assess the extent of scalp-hair loss in patients with alopecia areata. Guidelines define treatment success as a 50% improvement in scalp hair, and clinical trials have used dynamic thresholds of 50% and 90%. However, there is no clinical consensus on these endpoints, and patient perspectives on treatment success are unknown. What does this study add? Through qualitative interviews with 10 expert dermatologists and 30 patients with alopecia areata who had experienced ≥ 50% scalp-hair loss, we developed the Alopecia Areata Investigator Global Assessment (AA-IGA™) to measure five clinically meaningful gradations of alopecia areata scalp-hair loss that reflects patients' and clinicians' perspectives and expectations of treatment success in alopecia areata treatment studies. What are the clinical implications of this work? The AA-IGA is a robust ordinal measure that can inform clinical evaluation of alopecia areata treatment outcomes. The AA-IGA can be used to determine clinically meaningful treatment success for alopecia areata, with success defined by patients and clinicians as reaching ≤ 20% scalp-hair loss. Linked Comment: Blome. Br J Dermatol 2020; 183:609.

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Figures

Figure 1
Figure 1
Patient eligibility criteria. AA, alopecia areata; JAKi, Janus kinase inhibitors; SALT, Severity of Alopecia Tool.
Figure 2
Figure 2
Initial clinician‐proposed percentage ranges for each of the draft Alopecia Areata Investigator Global Assessment category descriptors (note that Clinician 09 did not complete this task).
Figure 3
Figure 3
Revised clinician opinions on the percentage ranges proposed for inclusion in the draft Alopecia Areata Investigator Global Assessment.
Figure 4
Figure 4
The Alopecia Areata Investigator Global Assessment scale (final version; reviewed in patient interviews).
Figure 5
Figure 5
Patients’ perceived thresholds of treatment success (note that four patients did not spontaneously provide an answer when queried). JAK, Janus kinase.

Comment in

References

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