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SHORT COMMUNICATION
Agreement Between Self-reported and Dermatologists’ Diagnosis for Alopecia Areata and Atopic
Dermatitis: A Bi-centric Prospective Study
Marie-Aleth RICHARD 1–3 and Khaled EZZEDINE 2–4
Aix-Marseille University, UMR 911, INSERM CRO2, «Centre for research in oncology and oncopharmacology » and Dermatology Department,
Timone Hospital, Assistance Publique Hôpitaux de Marseille, FR-13385, Marseille, 2 French Society of Dermatology (SFD), 3 College of French
Dermatology Teachers (CEDEF), 4 EA EpiDermE (Epidemiology in Dermatology and Evaluation of Therapeutics), UPEC-University Paris-Est
Créteil, Department of Dermatology, Henri Mondor University Hospital, Paris, France. E-mail: [email protected]
1
Accepted Feb 5, 2019; E-published Feb 6, 2019
E-epidemiology is a cost-effective method for collecting
and monitoring data on chronic skin diseases, which usu-
ally rely on self-declared diagnosis made by the patients
(1). However, the quality of the self-declared diagnosis
can be subject to false positive or negative declaration
and one method to lower this risk is to validate patients’
self-assessment. In this context, we conducted a study,
aiming to validate the self-assessment of atopic dermati-
tis (AD) and alopecia areata (AA), using the standard for
diagnosis of these skin diseases, i.e. physical examination
by a board-certified dermatologist.
METHODS
Methodology for the validation of the self-declared skin diseases
has been published elsewhere (2). In brief, two 6-items self-
reported questionnaires, AA and AD were developed by a panel
of experts in dermatology. These questionnaires (available upon
request) were based on the model, created by Dominguez et al.
(3), with 2 sections: (1) a declarative section (Questions [Q] 1–4)
that helps to identify whether the patient thinks he has the disease
of interest, and who diagnosed it (general practitioner, dermatolo-
gist, other specialist physician, the patient; these items were not
exclusive); and (2) a section (Q 5 and 6) offering a photographic
panel of the disease of interest and/or questions regarding the
features of the disease in its most common phenotypes. The Ile-de-
France IV (Paris, France) ethics committee (IRB), number
2016/41NI approved the study. Age and sex were recorded for
all questionnaires. The study was carried out from February 15 th
2016 to March 15 th 2016. Questionnaires (see Appendix S1 1 )
were distributed to all consecutive outpatients, aged 18 years
and over, who were attending a consultation in 2 departments of
Dermatology, located at the University Hospital Centers of Creteil
and Marseille, for the first time. The dermatologist completed the
final part, which attests the presence or absence of one of the 2
diagnoses, regardless of the patient’s answers. For patients with
no visible lesions, physicians asked about medical history and
previous medications used. Metrological characteristics (sensi-
tivity, specificity, area under the curve) were calculated for all
logical algorithms. The goal of the analyses was to identify the
algorithms with the highest sensitivity for distinguishing AA or
AD from non-AA or non-AD.
RESULTS
Overall, 381 patients participated, with a median age of
46 years (age range 17–89 years), 207 women (54.4%)
https://www.medicaljournals.se/acta/content/abstract/10.2340/00015555-3135
1
doi: 10.2340/00015555-3135
Acta Derm Venereol 2019; 99: 618–619
and 174 men (45.6%) were included. Thirty-five parti-
cipants (24 women and 11 men) were diagnosed with
AA and 53 with AD (32 women, median age 28, range
15–74 years) by a dermatologist. For both diseases,
the algorithm: “I have the disease and it was diagno-
sed by a dermatologist” had excellent sensitivity (Se)
and specificity (Sp): Se 80.0% and Sp 98.7%, receiver
operating characteristic (ROC) curve 0.90 (0.83–0.97)
for AA; Se=94.34 and Sp=92.1, ROC curve 0.93
(0.9;0.97) for AD. “I have AA and it was diagnosed by
a non-dermatologist physician” had surprisingly good
sensitivity (Se) and specificity (Sp) as well (Se 76.2%
and Sp 90.7%) and receiver operating characteristic
(ROC) curve 0.92 (0.85–0.97), this was not the case
for the item “I have AA and it was diagnosed by a non-
dermatologist physician” for which we found a lower
sensitivity (Se 56.2 % and Sp 88.6%, ROC curve 0.77
(0.73–0.86)).
DISCUSSION
This multicentric study involved a large number of pa-
tients and was based on the confirmation of skin disease
diagnosis by a dermatologist, which can be considered
a strength. We also systematically enrolled patients, at-
tending dermatology units, which ensured diversity in
the disease severity. It allows to conclude that patients
who self-report AD and AA are reporting their disease
accurately. The results are consistent with the already
published studies, as it was recently reported that using
such methodology has a high sensitivity and specificity
for the diagnosis of psoriasis, hidradenitis and vitiligo
(2).
It should be noted that two different dermatologists
confirmed the diagnosis in these two studies, as the
dermatologist who examined the patient during the
consultation differed from the dermatologist who made
the initial diagnosis. There are also a few limitations to
our study. As the study was transversal and was based
on short questionnaires and limited photographs, it is
probable that atypical phenotypes were not taken into
account. Another limitation is that people who attend
university hospital centres may have a better knowledge
of their disease. However, these auto-questionnaires
are intended for the use in e-cohorts in which partici-
This is an open access article under the CC BY-NC license. www.medicaljournals.se/acta
Journal Compilation © 2019 Acta Dermato-Venereologica.