| Literature DB >> 35713853 |
Silvia Scriffignano1,2, Fabio Massimo Perrotta1, Mario di Marino1, Francesco Ciccia2, Ennio Lubrano3.
Abstract
OBJECTIVES: To stratify psoriatic arthritis (PsA) patients based on psoriasis (PsO) onset age: early onset psoriasis (EOP) vs. late onset psoriasis (LOP), and to assess if there are differences in disease characteristics, activity/function/impact of the disease, and comorbidity indices.Entities:
Keywords: Comorbidity indices; Dactylitis; Early onset psoriasis; Late onset psoriasis; Psoriatic arthritis
Year: 2022 PMID: 35713853 PMCID: PMC9314486 DOI: 10.1007/s40744-022-00468-3
Source DB: PubMed Journal: Rheumatol Ther ISSN: 2198-6576
Demographic, clinical characteristics, therapy, and comorbidity indices of the PsA enrolled patients stratified in early onset PsO and late-onset PsO
| PsA patients | ||
|---|---|---|
| Overall, | ||
| Early onset PsO | Late-onset PsO | |
| Demographic, physical characteristics, and smoking habits | ||
| Sex, F, | 30 (35.7)—54 (64.3) | 30 (39.5)—46 (60.5) |
| Age, mean (SD) | 51.9 (11.86)** | 62.3 (9.92)** |
| Weight (kg), median (IQR) | 72.5 (64–81) | 79 (72–82) |
| Height (cm), median (IQR) | 166 (163–175) | 169 (160–173) |
| BMI (kg/h2), median (IQR) | 25.2 (23.3–29.6) | 27.6 (24.3–30) |
| BMI ≥ 30, | 22/84 (26.2) | 22/76 (28.9) |
| Smoke, | ||
| Never smoke | 42/70 (60) | 34/60 (56.6) |
| Current smoke | 14/70 (20) | 14/60 (23.2) |
| Past smoke | 14/70 (20) | 14/60 (23.2) |
| Clinical PsA characteristics | ||
| Disease duration (months), median (IQR) | 62 (24–120) | 74 (19.2–129.5) |
| PsA subset | ||
| Axial, | 12 (14.4) | 8 (10.5) |
| Monoarticular, | 6 (7.1) | 4 (5.3) |
| Oligoarticular, | 24 (28.6) | 24 (31.6) |
| Polyarticular, | 32 (38.1) | 32 (42.1) |
| Enthesitic, | 10 (11.9) | 8 (10.5) |
| Prevalent DIP involvement, | 0 (0) | 0 (0) |
| Mutilans, | 0 (0) | 0 (0) |
| Dactylitis, | 38 (45.2)** | 6 (7.9)** |
| Uveitis present or past, | 6 (7.1) | 0 (0) |
| Crohn’s disease, | 2 (2.9) | 0 (0) |
| Ulcerative colitis, | 0 (0) | 0 (0) |
| Psoriasis at the visit moment (yes), | 56/82 (68.3) | 46/64 (71.8) |
| BSA, median (IQR) | 1 (0–2) | 1 (0–3) |
| Patient Global Assessment, median (IQR) | 4 (1–6) | 4 (2–6.25) |
| Patient pain on VAS, median (IQR) | 5 (2–7) | 5 (2.75–7) |
| Tender joints/68, median (IQR) | 1 (0–4) | 1.5 (0–5.25) |
| Swollen joints/66, median (IQR) | 0 (0–1) | 0 (0–0.25) |
| LEI, mean (± SD) | 0 (0–1) | 0 (0–1) |
| CRP (mg/dl), mean (± SD) | 0.2 (0.2–0.3) | 0.2 (0.2–0.6) |
| PsA activity, function and impact | ||
| DAPSA, median (IQR) | 13 (5.1–17.6) | 10.28 (5.0–17.4) |
| MDA 5/7, | 36/78 (46.1) | 26/78 (38.2) |
| MDA 7/7, | 12/78 (15.38) | 8/78 (11.8) |
| PsAID, median (IQR) | 2.70 (1–5.27) | 2.32 (1.1–4.14) |
| PASS yes, | 48/76 (63.15) | 36/54 (66.6) |
| HAQ-DI, median (IQR) | 0.5 (0.125–0.687) | 0.5 (0.125–0.812) |
| Therapy | ||
| NSAIDs, | 10/82 (12.2)* | 22/74 (29.7)* |
| Oral corticosteroids, | 4/82 (4.9) | 2/74 (2.7) |
| csDMARDs, | 6/82 (7.3)* | 16/74 (21.6)* |
| Methotrexate, | 6/82 (7.3)* | 14/74 (18.9)* |
| Sulfasalazine, | 0/82 (0) | 2/74 (2) |
| Anti-TNF-α, | 28/82 (34.1) | 30/74 (40.5) |
| Anti-IL-17, | 22/82 (26.8)* | 10/74 (13.5)* |
| Anti-IL12-23, | 6/82 (7.3) | 4/74 (5.4) |
| iPDE4, | 8/82 (9.7) | 6/74 (8.1) |
| Comorbidities indices | ||
| CCI ≥ 1 | 14/84 (16.6)* | 26/76 (34.2)* |
| FCI ≥ 1 | 36/84 (42.8) | 44/76 (57.9) |
| RDCI ≥ 1 | 36/84 (42.8)** | 54/76 (71.0)** |
SD standard deviation, IQR inter quartile range, BSA body surface area, LEI Leeds Enthesitis Index, CRP C-reactive protein, DAPSA disease activity for psoriatic arthritis, MDA minimal disease activity, PsAID Psoriatic Arthritis Index of the Disease, PASS patient acceptable symptom state, HAQ-DI Health Assessment Questionnaire-Disability Index, NSAIDs non-steroid anti-inflammatory drugs, csDMARDs conventional synthetic disease-modifying anti-rheumatic drugs, TNF tumor necrosis factor, IL interleukin, iPDE4 inhibitors of phosphodiesterase type 4, CCI Charlson Comorbidity Index, FCI Functional Comorbidity Index, RDCI Rheumatic Disease Comorbidity Index
*p value ≤ 0.05
**p value ≤ 0.001
Univariate logistic regression analysis to assess the association between EOP and dactylitis (present or past)
| Dactylitis | ||
|---|---|---|
| OR (CI 95%) | ||
| EOP (vs. LOP) | 9.64 (3.77–24.6) | < 0.001 |
Univariate logistic regression analysis to assess the association between LOP and RDCI ≥ 1 and CCI ≥ 1; multivariate logistic regression analysis in which these results were adjusted for sex and age
| Univariate | Multivariate | |||
|---|---|---|---|---|
| OR (CI 95%) | OR (CI 95%) | |||
| RDCI ≥ 1 | ||||
| LOP (vs. EOP) | 3.27 (1.70–6.32) | < 0.001 | 1.83 (0.88–3.81) | 0.104 |
| Sex (F) | – | – | 1.37 (0.67–2.81) | 0.387 |
| Age (years) | – | – | 1.07 (1.03–1.10) | < 0.001 |
| CCI ≥ 1 | ||||
| LOP (vs. EOP) | 2.60 (1.23–5.47) | 0.012 | 2.10 (0.92–4.76) | 0.075 |
| Sex (F) | – | – | 0.61 (0.27–1.36) | 0.231 |
| Age (years) | – | – | 1.02 (0.99–1.06) | 0.167 |
EOP early onset psoriasis, LOP late-onset psoriasis, RDCI Rheumatic Disease Comorbidity Index, OR (CI 95%) odd ratio (confidence interval 95%)
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| Among PsO patients, the PsO onset age distinguishes two different patterns: early onset psoriasis (0–40 years) and late-onset psoriasis (over 40 years). EOP has been identified as a more severe skin disease. Moreover, LOP in PsA patients has been associated with a higher cardiovascular risk. |
| The aim of the present study was to assess any differences in clinical characteristics, disease activity, impact of the disease, function, and comorbidities indices in a group of PsA patients when stratified by EOP and LOP. |
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| In our group of PsA patients, EOP is associated with a higher probability of dactylitis and a more frequent use of anti-IL17. In the LOP group, the assessed comorbidities indices tended to have a higher score, but these data were not confirmed when corrected by age and sex. |
| It could be useful to stratify PsA patients according to the PsO onset age for a clinical patients profiling. This, in turn, could help physicians in the disease severity assessment and in the clinical patients profiling. However, larger studies are needed to confirm these preliminary results. |