2024
DOI: 10.3390/vaccines12020178
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Plaque Psoriasis Exacerbation and COVID-19 Vaccination: Assessing the Characteristics of the Flare and the Exposome Parameters

Emmanouil Karampinis,
Myrto-Maria Papadopoulou,
Kleoniki Chaidaki
et al.

Abstract: The diverse patient population and widespread vaccination in the COVD-19 era make vaccine-triggered episodes of psoriasis an ideal model of exposome research. This scenario explores the fine balance between protective and exacerbating factors, providing insights into the complex relationship between environmental exposure and psoriasis immunopathogenesis when a trigger appears, such as that of the hyperinflammatory state induced by the COVID-19 vaccine. Analyzing interactions between vaccine-induced phenomena … Show more

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Cited by 8 publications
(2 citation statements)
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“…Some studies suggested that psoriasis can be subject to sudden flares, regardless of the severity of the disease and patient's characteristics, in the presence of triggers, such as infections or vaccinations. Therefore, the development of AI methods to predict such flares can be of significant importance [71]. AI programs have also been utilized in early detection studies of comorbidities in psoriasis, including psoriatic arthritis (PsA), cardiovascular disease, and diabetes [72,73].…”
Section: Ai-assisted Severity Scores and Comorbiditiesmentioning
confidence: 99%
“…Some studies suggested that psoriasis can be subject to sudden flares, regardless of the severity of the disease and patient's characteristics, in the presence of triggers, such as infections or vaccinations. Therefore, the development of AI methods to predict such flares can be of significant importance [71]. AI programs have also been utilized in early detection studies of comorbidities in psoriasis, including psoriatic arthritis (PsA), cardiovascular disease, and diabetes [72,73].…”
Section: Ai-assisted Severity Scores and Comorbiditiesmentioning
confidence: 99%
“…The convolutional neural networks (CNNs), the leading DL algorithm for image analysis, have reported a high performance rate in melanoma diagnosis [ 4 ]. Additionally, due to the unpredictable nature of inflammatory dermatoses [ 5 ], AI technology has been able to predict the flares of skin diseases such as psoriasis and atopic dermatosis [ 6 ].…”
Section: Introductionmentioning
confidence: 99%