The analysis and technical support for this study were done by the Spanish Academy of Dermatology (Research Unit). C. Galv an Casas and A. Catal a contributed equally as first authors.

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Background A previous study has defined the maculopapular subtype of manifestations of COVID‐19. Objectives To describe and classify maculopapular eruptions associated with COVI‐19. Methods We carried out a subanalysis of the maculopapular cases found in the previous cross‐sectional study. Using a consensus, we defined 7 clinical patterns. We described patient demographics, the therapy received by the patient and the characteristics of each pattern. Results Consensus lead to the description of 7 major maculopapular patterns: Morbilliform (45.5%), Other maculopapular (20.0%), Purpuric (14.2%), Erythema multiforme‐like (9.7%), Pytiriasis rosea‐like (5.7%), Erythema elevatum diutinum‐like (2.3%) and Perifollicular (2.3%). In most cases, maculopapular eruptions were coincident (61.9%) or subsequent (34.1%) to the onset of other COVID‐19 manifestations. The most frequent were cough (76%), dyspnea (72%), fever (88%), and astenia (62%). Hospital admission due to pneumonia was frequent (61%). Drug intake was frequent (78%). Laboratory alterations associated with maculo‐papular eruptions were high C‐reactive protein, high D‐Dimer, lymphopenia, high ferritin, high LDH, and high IL‐6. Limitations The impossibility to define the cause–effect relationship of each pattern. Conclusion We provide a description of the cutaneous maculopapular manifestations associated with COVID‐19. The cutaneous manifestations of COVID‐19 are wide‐ranging and can mimic other dermatoses. This article is protected by copyright. All rights reserved.

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Up to 20% of patients with coronavirus disease 2019 develop cutaneous manifestations such as erythematous rash, rash with petechiae, vesicular rash, acral ischemia, livedo reticularis, and widespread urticaria. 1,2 The appropriate classification of these manifestations, crucial for accurate scientific research, depends on physical examination and cannot be correctly assessed with teledermatology. To make classification easier, our suggestion is a simple algorithm that can be easily performed by patients, general practitioners, and intensive care unit professionals on the front lines who are confronting coronavirus disease 2019 and not used to dermatologic examination (Fig 1).