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University of Groningen

Interpretability in atopic dermatitis

Oosterhaven, J A F

Published in:

The British journal of dermatology

DOI:

10.1111/bjd.16410

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from

it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date:

2018

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Oosterhaven, J. A. F. (2018). Interpretability in atopic dermatitis: all about the anchor. The British journal of

dermatology, 178(4), 832-833. https://doi.org/10.1111/bjd.16410

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Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

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However, the authors used a strict definition for the ‘validated algorithm-based’ diagnosis of HS, and the sociodemographic characteristics and comorbidities of the ‘validated algorithm-based’ HS population were consistent with previous studies, minimizing classification bias.

Finally, the authors should be congratulated for the robustness of their study in terms of its design, opening a new methodological avenue in the pharmacoepidemiology field, where diagnostic criteria are lacking. This study confirmed that the prevalence of HS is not more than 07–1%.

Conflicts of interest

None to declare.

E . SB I D I A N1,2,3

1

Departement de Dermatologie, AP-HP, H^opitaux Universitaires Henri Mondor, Creteil, F-94010, France

2

Inserm, Centre d’Investigation Clinique 1430, Creteil, F-94010, France

3

Universite Paris Est (UPEC), DHU VIC, IRMB-EA 7379 EpidermE, Creteil, F-94010, France

E-mail: emilie.sbidian@aphp.fr

References

1 Saunte DML, Jemec GBE. Hidradenitis suppurativa: advances in diag-nosis and treatment. JAMA 2017;318:2019–32.

2 Cosmatos I, Matcho A, Weinstein R, et al. Analysis of patient claims data to determine the prevalence of hidradenitis suppurativa in the United States. J Am Acad Dermatol 2013;68:412–19.

3 Jemec GB, Heidenheim M, Nielsen NH. The prevalence of hidradenitis suppurativa and its potential precursor lesions. J Am Acad Dermatol 1996; 35:191–4.

4 Ingram JR, Jenkins-Jones S, Knipe DW et al. Population-based Clini-cal Practice Research Datalink study using algorithm modelling to identify the true burden of hidradenitis suppurativa. Br J Dermatol 2018;178:917–24.

5 Kromann CB, Ibler KS, Kristiansen VB, Jemec GBE. The influence of body weight on the prevalence and severity of hidradenitis suppura-tiva. Acta Derm Venereol 2014;94:553–7.

6 Saunte DM, Boer J, Stratigos A, et al. Diagnostic delay in hidradenitis suppurativa is a global problem. Br J Dermatol 2015; 173:1546–9.

7 Revuz JE, Canoui-Poitrine F, Wolkenstein P, et al. Prevalence and factors associated with hidradenitis suppurativa: results from two case–control studies. J Am Acad Dermatol 2008; 59:596–601. 8 Phan C, Ezzedine K, Lai C, et al. Agreement between self-reported

inflammatory skin disorders and dermatologists’ diagnosis: a cross-sectional diagnostic study. Acta Derm Venereol 2017;97:1243–4.

Interpretability in atopic dermatitis: all about

the anchor

DOI: 10.1111/bjd.16410

Linked Article: Vakharia et al. Br J Dermatol 2018; 178: 925–930.

Proper measurement of the characteristics of a disease is an important topic in medical science. Measurements can be per-formed to assess characteristics such as severity, symptoms, extent or impairment. They can also be clustered in a con-struct like health-related quality of life, often covering impair-ment in several domains (e.g. symptoms, emotions or functioning). Once it is clear how to measure a certain charac-teristic and which instrument is best suited for this, the next step is to determine how to interpret the outcome of such an instrument.

In this issue of the British Journal of Dermatology Vakharia et al. present the results of an interpretability study, designed to determine severity strata for several patient-reported out-come (PRO) measurement instruments used in atopic der-matitis (AD): the Patient Oriented Eczema Measure (POEM), Numerical Rating Scale (NRS)-itch, raw/mean ItchyQoL, 5-D itch and Dermatology Life Quality Index (DLQI).1When determining strata, measured scores are compared with scores obtained with a single question with clearly labelled answer categories (the ‘anchor’), chosen to represent the desired characteristic for interpretation; in this case disease severity.2

A difficult issue is that a ‘true’ disease severity of AD in general does not exist. For example, it matters whether one asks a patient or a physician to judge the disease severity. How should it be judged? Should disease severity incorporate only clinical signs or also symptoms, e.g. itch and pain? Should one ask about the frequency or the intensity of these symptoms? Or should one focus on how much they bother a patient?3,4

The authors chose to use one broad anchor question for all mentioned instruments: ‘Would you describe your atopic dermatitis or eczema as mild, moderate, or severe?’ In their validation paper of this single question, the authors conclude that it might be an important PRO for assessing the overall burden of disease that accounts for severity, extent, symptom burden and quality of life impact.5

In the current study, the use of this anchor assessing ‘overall burden’ is probably the main reason why correla-tions with severity strata of the studied measurement instru-ments were found to be modest at best (kappa ranging from 0331 to 0499). For example, a patient indicating an overall severe burden of AD does not necessarily have to experience severe itching (resulting in a low score for the itch-related instruments). Another explanation could be the lack of a specified time frame for the anchor, while the studied

832 Commentaries

© 2018 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. British Journal of Dermatology (2018)178, pp825–838

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instruments have time frames of between 7 and 14 days. The authors justly conclude that each of the studied instru-ments assesses different aspects of the multidimensional impact that AD has on patients, with only partial overlap. This means that each instrument has a potential added value, and measurements with more than one instrument are neces-sary. Considering this, in future interpretability studies it would be interesting to see the use of anchor questions specifically tailored to the dimension/domain of the studied instrument; for example, anchor questions for the ItchyQoL and 5-D itch should ask about the bother patients experience because of their itch.

An interesting finding is that the strata for NRS-itch had a stronger correlation with the anchor than strata of the POEM. Although POEM was chosen by the Harmonizing Outcome Measurements in Eczema (HOME) group as the preferred core instrument to assess patient-reported symp-toms,6 Vakharia et al. suggest considering NRS-itch as an additional assessment.

In conclusion, when interpreting scores from patients, regardless of the disease, one should always be aware of how strata for interpretability were determined. The choice of anchor is often vital for interpretability.

Acknowledgments

The author would like to acknowledge M.L.A. Schuttelaar and R.F. Ofenloch for their critical revision of this commentary.

Conflicts of interest

None to declare.

J . A . F . OO S T E R H A V E NiD

Department of Dermatology, University Medical Center Groningen, PO Box 30 001, 9700 RB Groningen, the Netherlands E-mail: j.a.f.oosterhaven@umcg.nl

References

1 Vakharia PP, Chopra R, Sacotte R et al. Severity strata for five patient-reported outcomes in adults with atopic dermatitis. Br J Der-matol 2018; 178:925–30.

2 de Vet HCW, Terwee CB, Mokkink LB, Knol DL (eds). Measurement in Medicine. New York: Cambridge University Press, 2011; 227–74. 3 Leshem YA, Hajar T, Hanifin JM, Simpson EL. What the Eczema

Area and Severity Index score tells us about the severity of atopic dermatitis: an interpretability study. Br J Dermatol 2015;172:1353–7. 4 Charman CR, Venn AJ, Ravenscroft JC, Williams HC. Translating Patient-Oriented Eczema Measure (POEM) scores into clinical prac-tice by suggesting severity strata derived using anchor-based meth-ods. Br J Dermatol 2013;169:1326–32.

5 Vakharia PP, Chopra R, Sacotte R et al. Validation of patient-reported global severity of atopic dermatitis in adults. Allergy 2018;73:451–8. 6 Spuls PI, Gerbens LAA, Simpson E et al. Patient-Oriented Eczema

Measure (POEM), a core instrument to measure symptoms in clini-cal trials: a Harmonising Outcome Measures for Eczema (HOME) statement. Br J Dermatol 2017;176:979–84.

Supporting Information

Additional Supporting Information may be found in the online version of this article at the publisher’s website:

Audio S1 Author audio.

Association of

APOE polymorphisms with

multibacillary leprosy

DOI: 10.1111/bjd.16361

Linked Article: Wang et al. Br J Dermatol 2018; 178:931– 939.

In an article in this issue of the British Journal of Dermatology, using integrated expression quantitative trait loci, mRNA expression and protein interaction analysis, Wang et al.1 report on some potential genetic associations between the human apolipoprotein E (ApoE) gene and leprosy in Han Chinese patients from Southwest China.

Despite new information mainly at the molecular level, the pathogenesis of leprosy remains poorly understood. Epidemio-logical studies have shown the importance of host genetic factors in susceptibility to the development of leprosy and the clinical form of the disease. Several chromosomal regions associated with leprosy have been identified in genome-wide linkage analysis.2

The APOE gene is located in chromosome 19q13 and encodes a member of the family of soluble apolipoproteins with polymorphic alleles carrying homozygous and heterozy-gous genotypes. The molecular basis of APOE single-nucleotide polymorphisms (SNPs) is cysteine–arginine interchanges.3

APOE SNPs are the main genetic determinant of Alzheimer disease (AD) risk: individuals carrying the e4 allele are at increased risk of AD compared with those carrying the more common e3 allele, whereas the e2 allele decreases the risk.3

Conversely, in patients with leprosy without dementia, the frequency of thee4 allele was significantly higher, suggesting that this allele is not a risk factor for dementia in elderly patients with leprosy.4 Furthermore, histological analyses of brain tissue of elderly patients with leprosy without dementia showed a significantly lower frequency of deposition of b-amyloid, the cue molecule involved in AD, than age-matched controls without dementia.5 The results suggest that patients with leprosy might have a low risk of AD.

Although the finding is controversial,6 antileprosy drugs appear to reduce dementia, as shown in elderly patients with leprosy treated with dapsone.7 Furthermore, rifampicin inhibited the initial step of b-amyloid formation, showing activity against the accumulation and toxicity of intracellular b-amyloid.8

Lepromatous leprosy (LL) exhibits extensive involvement of the skin and peripheral nerves. A typical feature of LL is the survival and replication of Mycobacterium leprae stored within the

© 2018 British Association of Dermatologists British Journal of Dermatology (2018)178, pp825–838 Commentaries 833

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