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The Digital Way to Intercept Psoriatic Arthritis

Overview
Specialty General Medicine
Date 2021 Dec 10
PMID 34888334
Citations 3
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Abstract

Psoriasis (PsO) and Psoriatic Arthritis (PsA) are chronic, immune-mediated diseases that share common etiopathogenetic pathways. Up to 30% of PsO patient may later develop PsA. In nearly 75% of cases, skin psoriatic lesions precede arthritic symptoms, typically 10 years prior to the onset of joint symptoms, while PsO diagnosis occurring after the onset of arthritis is described only in 15% of cases. Therefore, skin involvement offers to the rheumatologist a unique opportunity to study PsA in a very early phase, having a cohort of psoriatic "risk patients" that may develop the disease and may benefit from preventive treatment. Progression from PsO to PsA is often characterized by non-specific musculoskeletal symptoms, subclinical synovio-entheseal inflammation, and occasionally asymptomatic digital swelling such as painless toe dactylitis, that frequently go unnoticed, leading to diagnostic delay. The early diagnosis of PsA is crucial for initiating a treatment prior the development of significant and permanent joint damage. With the ongoing development of pharmacological treatments, early interception of PsA has become a priority, but many obstacles have been reported in daily routine. The introduction of digital technology in rheumatology may fill the gap in the physician-patient relationship, allowing more targeted monitoring of PsO patients. Digital technology includes telemedicine, virtual visits, electronic health record, wearable technology, mobile health, artificial intelligence, and machine learning. Overall, this digital revolution could lead to earlier PsA diagnosis, improved follow-up and disease control as well as maximizing the referral capacity of rheumatic centers.

Citing Articles

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PMID: 35794905 PMC: 9251966. DOI: 10.1177/1759720X221105978.


Psoriatic arthritis: prospects for the future.

Hackett S, Ogdie A, Coates L Ther Adv Musculoskelet Dis. 2022; 14:1759720X221086710.

PMID: 35368374 PMC: 8966104. DOI: 10.1177/1759720X221086710.


Harnessing Big Data, Smart and Digital Technologies and Artificial Intelligence for Preventing, Early Intercepting, Managing, and Treating Psoriatic Arthritis: Insights From a Systematic Review of the Literature.

Bragazzi N, Bridgewood C, Watad A, Damiani G, Kong J, McGonagle D Front Immunol. 2022; 13:847312.

PMID: 35359924 PMC: 8960164. DOI: 10.3389/fimmu.2022.847312.

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