Evidence map›Paper›PMID 39022792›Full record

ArticleAmerican journal of clinical and experimental immunology2024

Cutaneous manifestations associated with COVID-19 infection at a university hospital in eastern China.

Lingyi Lu, Lu Cao, Jing Zhang, Bingjiang Lin

Abstract read
In one paragraph

Article in American journal of clinical and experimental immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lingyi LuDepartment of Dermatology, The First Affiliated Hospital of Ningbo University No. 59, Liuting Street, Ningbo 315010, Zhejiang, P. R. China.
Lu CaoDepartment of Dermatology, The First Affiliated Hospital of Ningbo University No. 59, Liuting Street, Ningbo 315010, Zhejiang, P. R. China.
Jing ZhangDepartment of Dermatology, The First Affiliated Hospital of Ningbo University No. 59, Liuting Street, Ningbo 315010, Zhejiang, P. R. China.
Bingjiang LinDepartment of Dermatology, The First Affiliated Hospital of Ningbo University No. 59, Liuting Street, Ningbo 315010, Zhejiang, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) affects different organ systems, including the skin. A retrospective analysis of skin manifestations in Chinese outpatient and inpatient settings is lacking. The study aims to analyze cutaneous manifestations in COVID-19 patients and the recurrence or aggravation of previous skin diseases. MATERIALS AND

methodsA retrospective cross-sectional study was conducted from November 2022 to July 2023 in a university hospital in eastern China. It involved reverse transcriptase polymerase chain reaction (RT-PCR)-positive COVID-19 patients, documenting various skin manifestations and the recurrence or aggravation of pre-existing skin conditions. The pattern of skin lesions and other variables were assessed.

resultsThe study included 303 patients, with 127 males and 176 females. Maculopapular rash was the predominant new cutaneous manifestation (54.92%), mainly in middle-aged individuals. Other findings included urticaria (16.39%), herpes zoster (11.89%), and herpes simplex (4.10%), vesicular rashes (2.46%), purpura (2.05%), erythema multiforme (1.64%), livedo reticularis (0.41%) and so on. Severe disease was associated with herpes zoster and livedo reticularis. Critical COVID-19 cases were linked to vesicular rashes, purpura, and erythema multiforme. The mean time for skin lesion emergence post-infection varied from 3 days for seborrheic dermatitis to 17.48 days for herpes zoster. Vasculitic manifestations correlated with elevated D-dimer levels. A total of 59 cases (19.47%) of recurrent or aggravated skin diseases were reported following infection with COVID-19, with dermatitis being the most common, followed by acne and folliculitis, psoriasis, urticaria, bullous pemphigoid, pemphigus, tinea corporis and androgenetic alopecia.

conclusionThe cutaneous phenotypes delineated in this study expand the dermatologic spectrum associated with COVID-19. Cutaneous manifestations may result from overactive immune responses, complement activation, and microvascular damage. Herpes zoster typically occurs in elderly COVID-19 patients with weaker immune systems or more severe diseases. Purpura and livedo reticularis, although rare, may indicate disease severity. It is possible to predict the course of COVID-19 with different severity through cutaneous manifestations. Recognizing these skin manifestations could aid in predicting COVID-19 severity and guide dermatologists in managing the pandemic response.

Indexed as

COVID-19 infectioncutaneous manifestationsimmune reaction

Identifiers

PMID39022792
PMCPMC11249857

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.