27729 Psoriatic disease characteristics by metabolic comorbidities among patients with psoriasis

2021 ◽  
Vol 85 (3) ◽  
pp. AB39
Author(s):  
Clinton Enos ◽  
Vanessa Ramos ◽  
Tinchi Lin ◽  
Robert R. McLean ◽  
Nicole Foster ◽  
...  
2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1667.2-1668
Author(s):  
E. Bilgin ◽  
Ö. Bayindir ◽  
E. Kasapoğlu ◽  
S. Bakirci ◽  
D. Solmaz ◽  
...  

Background:Psoriasis and psoriatic arthritis (PsA) are heterogenous diseases with various disease manifestations and phenotypes. Psoriasis has a bimodal age of onset being early (before the age of 40, type 1) and late. The impact of this classification on the PsA features is not well understood.Objectives:To compare the PsA characteristics of patients with early- and late-onset psoriasis in a large, multicenter databaseMethods:PSART-ID (Psoriatic Arthritis-International Database) is a prospective, multicenter web-based registry (www.trials-network.org) of patients with PsA. A detailed data collection was performed including demographics (sex, age, duration of education, smoking status, BMI), skin features (psoriasis onset date, type, initially involved site of skin, nail involvement (ever) and family history) and PsA characteristics (type of articular involvement and presence of axial, dactylitis (ever), enthesitis (ever), family history) and indices for disease activity and function (DAPSA, Leeds enthesitis index, BASDAI, BASFI, patient and physician global assessment, pain, HAQ-DI). We grouped according to the age at psoriasis onset (early onset, psoriasis before the age of 40 (EOPsO); late-onset, psoriasis after the age of 40 (LOPsO)), patient and disease characteristics of the groups were compared (1). Due to the differences among groups, following adjustments weer made: BMI for age, nail involvement for PsO disease duration, axial PsA for PsA disease duration.Results:A total of 1634 (62.8% females; EOPsO, 1108 (67.8%); LOPsO, 526 (32.2%)) patients with PsA was recruited. Rate of over-weight patients was higher in LOPsO group (66.8% vs. 86.8%, p<0.001; adjusted for age - aOR 1.55 (1.11-2.20; % 95 CI)). The EOPsO group had the scalp involvement as the initial site of skin disease more often than the LOPsO group (56.7% vs. 43.0%, p<0.001), whereas extremity involvement was more frequent as the initial finding in the LOPsO group (EOPsO vs. LOPsO 63.8% vs. 74.2%, p<0.001). Nail involvement (ever) was more prominent in EOPsO group, however, the significance was disappeared when adjusted for psoriasis duration. Interaction between gender and both axial disease and psoriatic disease family history were found (axial disease in man; EOPsO vs LOPsO; 38.0% vs. 25.4%; p=0.005; adjusted for PsA duration - aOR 0.56 (0.38-0.84; %95 CI) // psoriatic disease family history in females; EOPsO vs LOPsO; 39.5% vs. 30.1%; p=0.003; OR 0.65 (0.50-0.86; %95 CI)). Duration between PsO and PsA was significantly longer in EOPsO group (148 vs. 24 months, p<0.001). In EOPsO group, more patients had PsO preceeding PsA than LOPsO group (81.8% vs. 60.6%, p<0.001), however, synchronous disease -defined as the diagnosis of PsO and PsA within the same year- was more common in LOPsO group (16.6% vs. 30.3%, p<0.001) (Table 1). Psoriatic disease activity parameters, patient and physician reported outcomes and HAQ-DI scores were similar in both groups.Table 1.Comparison of psoriatic arthritis patients‘ characteristics according to age at psoriasis onsetConclusion:Clinical features of PsA may be affected by the age at the onset of psoriasis. As the genetic background is different in early and late-onset psoriasis, this may suggest a different pathogenetic mechanism based on the psoriasis phenotype, also affecting the PsA features. Further prospective studies are needed to define whether the classification of PsA requires including psoriasis phenotypes as well.References:[1]Henseler T, Christophers E. Psoriasis of early and late onset: characterization of two types of psoriasis vulgaris. J Am Acad Dermatol. 1985;13(3):450-6.Disclosure of Interests:Emre Bilgin: None declared, Özün Bayindir: None declared, esen kasapoğlu: None declared, Sibel Bakirci: None declared, Dilek Solmaz: None declared, Gezmiş Kimyon: None declared, Atalay Doğru: None declared, Ediz Dalkiliç: None declared, Cem Özişler: None declared, Meryem Can: None declared, Servet Akar: None declared, Emine Figen Tarhan: None declared, Şule Yavuz: None declared, Levent Kiliç: None declared, Orhan Küçükşahin: None declared, Ahmet Omma: None declared, Emel Gönüllü: None declared, Fatih Yildiz: None declared, Duygu Ersözlü: None declared, abdurrahman tufan: None declared, Muhammet Çinar: None declared, Abdulsamet Erden: None declared, Sema Yilmaz: None declared, Seval Pehlevan: None declared, Tuncay Duruöz: None declared, Sibel Aydin: None declared, Umut Kalyoncu Consultant of: Abbvie, Amgen, Janssen, Lilly, Novartis, UCB


EMJ Radiology ◽  
2020 ◽  
Author(s):  
Filippo Pesapane

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant.  In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.


2015 ◽  
Vol 16 (12) ◽  
pp. 1300-1311 ◽  
Author(s):  
Daniel Kantor ◽  
Sunil Panchal ◽  
Vikram Patel ◽  
Iwona Bucior ◽  
Richard Rauck

2021 ◽  
Author(s):  
Sahil Koppikar ◽  
Keith Colaco ◽  
Paula Harvey ◽  
Shadi Akhtari ◽  
Vinod Chandran ◽  
...  

2021 ◽  
Vol 13 ◽  
pp. 1759720X2110140
Author(s):  
Conor Magee ◽  
Hannah Jethwa ◽  
Oliver M. FitzGerald ◽  
Deepak R. Jadon

Aims: The ability to predict response to treatment remains a key unmet need in psoriatic disease. We conducted a systematic review of studies relating to biomarkers associated with response to treatment in either psoriasis vulgaris (PsV) or psoriatic arthritis (PsA). Methods: A search was conducted in PubMed, Embase and the Cochrane library from their inception to 2 September 2020, and conference proceedings from four major rheumatology conferences. Original research articles studying pre-treatment biomarker levels associated with subsequent response to pharmacologic treatment in either PsV or PsA were included. Results: A total of 765 articles were retrieved and after review, 44 articles (22 relating to PsV and 22 to PsA) met the systematic review’s eligibility criteria. One study examined the response to methotrexate, one the response to tofacitinib and all the other studies to biologic disease-modifying antirheumatic drugs (DMARDs). Whilst several studies examined the HLA-C*06 allele in PsV, the results were conflicting. Interleukin (IL)-12 serum levels and polymorphisms in the IL-12B gene show promise as biomarkers of treatment response in PsV. Most, but not all, studies found that higher baseline levels of C-reactive protein (CRP) were associated with a better clinical response to treatment in patients with PsA. Conclusion: Several studies have identified biomarkers associated with subsequent response to treatment in psoriatic disease. However, due to the different types of biomarkers, treatments and outcome measures used, firm conclusions cannot be drawn. Further validation is needed before any of these biomarkers translate to clinical practice.


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