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Prevalence of Psoriatic Arthritis in Patients with Moderate-to-Severe Psoriasis in the Era of Biologics and Small Molecule Therapies

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13 October 2025

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14 October 2025

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Abstract
Objectives: To estimate the prevalence of psoriatic arthritis (PsA) and associated fac-tors in patients with moderate-to-severe psoriasis. Methods: Retrospective, single-center study of a cohort of psoriasis patients in stand-ard follow-up in a dermatology department from July 2008 to January 2024. Patients ≥18 years with moderate-to-severe psoriasis were included and classified into 3 groups according to the treatment received: group 1, biologics or small molecules with or without conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs); group 2, only csDMARDS; and group 3, non-pharmacological treatments. Demographic and clinical variables were collected. The prevalence of PsA was estimated with its 95% confidence interval (CI). The cumulative incidence of PsA was analyzed across groups, and logistic regression models were built. Results: The study population comprised 308 patients (67.2%, 22.7%, 10% in groups 1, 2, and 3, respectively). Dif-ferences between the groups were observed in severity of psoriasis, weight, smoking status, and dyslipidemia (p< 0.05). The prevalence of PsA was 11.7% (95% CI, 8.1-15.3), with most patients in group 1. This group had a high-er risk of PsA following diagnosis of psoriasis or initiation of treatment. Belonging to groups 2 and 3 had a smaller effect than belonging to group 1 in the development of PsA; nail involvement and obstructive sleep apnea (OSA) were associated with development of PsA (p< 0.05). Conclusions: The prevalence estimate was lower than previous estimates, probably owing to the increased use of biologics. Not requiring biologics for disease control had less effect on development of PsA. Nail involvement and OSA were associated with PsA.
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1. Introduction

Psoriasis is an immune-mediated inflammatory disease (IMID) affecting the skin, nails, and scalp. It is present in 2.3% of the Spanish population [1]. Psoriatic arthritis (PsA) is a highly heterogeneous IMID in terms of its presentation, which comprise psoriasis, uveitis, inflammatory bowel disease, dactylitis, enthesitis, peripheral arthritis, and axial involvement [2]. Its high systemic inflammatory burden can lead to comorbidities such as cardiometabolic diseases. Furthermore, it can affect mental health, leading to anxiety and depression, which together pose a challenge to its management [3,4,5,6,7]. Up to 30% of patients with psoriasis develop PsA [8,9,10]. PsA usually follows the onset of psoriasis, although around 10% of patients develop skin manifestations after the onset of psoriatic arthritis [11].
Various models have been proposed to explain the transition from psoriasis to PsA [12], and it is known that both diseases share pathogenic mechanisms involving inflammatory cytokines [13,14]. Therefore, it is now proposed that both IMIDs be considered psoriatic disease. In this context, efficient control of psoriasis or even remission could reduce the risk of PsA. Although it is not known which treatments induce this preventive effect, it makes sense to target common pathways in the pathogenesis of psoriatic disease using agents such as TNF alpha inhibitors, anti-interleukin agents (IL-12/23, IL-23, and IL-17), phosphodiesterase inhibitors, and Janus kinase inhibitors [15,16].
Several studies have investigated the hypothesis that treating moderate-to-severe psoriasis prevents PsA. A retrospective study by Gisondi et al. [17] demonstrated a lower incidence of PsA in patients with psoriasis undergoing biological therapy than in those undergoing phototherapy. Rosenthal et al. [18] also identified a lower risk of developing PsA among patients treated with biologic therapy versus conventional synthetic disease modifying anti-rheumatic drugs (csDMARDs), whether or not they were combined with phototherapy. The PAMPA study is presently underway [19]. This multicenter, randomized, double-blind, placebo-controlled trial is comparing the transition to PsA in patients with psoriasis at an increased risk of progression who are treated with guselkumab versus standard non-biologic therapy.
Therefore, we believe that determining the prevalence of PsA in patients with psoriasis treated with currently available therapies (biologics, targeted therapies, csDMARDs, and non-pharmacological treatments) is an initial step that could aid in the early diagnosis of PsA and potentially reduce the transition from psoriasis to PsA. The aim of our study was to determine the prevalence of PsA in patients with moderate-to-severe psoriasis and analyze whether there are differences between the various standard treatments used for psoriasis. Furthermore, we aimed to identify factors associated with the development of PsA.

2. Materials and Methods

Study Design and Setting
This is a retrospective, observational, longitudinal study of a cohort of patients with moderate-to-severe psoriasis in standard follow-up in the dermatology department at Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain from July 2008 to January 2024.
Population
The study population comprised patients ≥ 18 years diagnosed with moderate-to-severe psoriasis who initiated standard treatment. Moderate-to-severe psoriasis was defined as a Psoriasis Area and Severity Index (PASI) score ≥ 6 and according to dermatological criteria, including psoriasis at selected sites such as the scalp, face, genitalia, nails or palms, and soles. Patients were classified according to the treatment received during the study period, as follows: group 1, who received biologics or small molecules with or without csDMARDs; group 2, who received only csDMARDs; and group 3, who received non-pharmacological treatments such as phototherapy or topical treatment. Patients with metabolic and inflammatory arthropathies or autoimmune diseases were excluded.
Data collection
A rheumatologist with more than 10 years’ experience in diagnosing and treating patients with PsA extracted pseudo-anonymized data from medical records from the diagnosis of psoriasis until the diagnosis of PsA or the end of the study in January 2024. A clinical research associate was responsible for external monitoring of patient data.
Variables
The main study variable was the development of PsA, which was diagnosed based on the CASPAR criteria [20]. To estimate the risk of developing PsA, 2 patient follow-ups were defined, as follows: 1) the period between the date of diagnosis of psoriasis and that of the diagnosis of PsA or the end of the study in January 2024; and 2) the period between the date of initiation of treatment for moderate-to-severe psoriasis and the date of diagnosis of PsA or the end of the study in January 2024.
Secondary variables included the following: sociodemographic data, such as age and sex; variables related to psoriasis, such as type of psoriasis, severity of psoriasis (measured by PASI) [21], family history of psoriasis, time from onset of symptoms of psoriasis to diagnosis, time from diagnosis of psoriasis to treatment; variables related to PsA such as type of PsA and family history of PsA; time from onset of psoriasis symptoms to diagnosis of PsA; time from diagnosis of psoriasis and diagnosis of PsA; time from treatment of psoriasis and diagnosis of PsA; time from onset of musculoskeletal symptoms and diagnosis of PsA; comorbidities such as overweight/obesity, hypertension, hyperuricemia, dyslipidemia, diabetes, smoking, alcohol consumption, chronic obstructive pulmonary disease, obstructive sleep apnea (OSA), hepatic steatosis, and depression; extracutaneous variables such as musculoskeletal symptoms (joint pain, joint effusion, dactylitis, enthesitis, or inflammatory back pain), uveitis, inflammatory bowel disease; C-reactive protein (CRP) levels; HLAB27 positivity; and types of treatments.
Study size
Considering that 23.8% of patients with psoriasis will also develop PsA [22], a 95% level of confidence, and a 5% precision error, it was estimated that at least 307 patients would be needed.
Statistical analysis
Categorical variables were expressed as absolute (n) and relative frequencies (%), and 95% confidence intervals for proportions were calculated where appropriate. Continuous variables were expressed as mean ± standard deviation (SD) or median and interquartile range [IQR: p25-p75], depending on the distribution of the data, as assessed by the Kolgomorov-Smirnov test. The 3 treatment groups were compared using the chi-square test or Fisher’s exact test for categorical variables, as appropriate. For continuous variables, 1-way ANOVA was used when the data followed a normal distribution, and the Kruskal-Wallis test was applied for non-normally distributed variables. Post hoc analyses with a Bonferroni correction were conducted to adjust for multiple comparisons.
A logistic regression analysis was performed to identify independent factors associated with the onset of PsA. Variables that showed a statistically significant association in the univariate analysis (p < 0.100) were included in the multivariate model. Kaplan–Meier survival curves were generated to visualize the cumulative incidence of PsA across the groups, and differences between curves were assessed using the log-rank test.
All statistical analyses were performed using IBM SPSS Statistics, version 27 (IBM Corp., Armonk, NY, USA). A p-value < 0.05 was considered statistically significant.
Ethical Considerations
This study was conducted in accordance with the principles of the Declaration of Helsinki [23] and approved by the Clinical Research Ethics Committee of Hospital Universitario de Getafe, Getafe (Madrid), Spain (study code: A04/24) on 25 April, 2024. The need for informed consent was waived because of the retrospective nature of the study.

3. Results

3.1. Sociodemographic Characteristics of Patients with Moderate-to-Severe Psoriasis

A total of 308 patients with moderate-to-severe psoriasis were included. Mean age was 55.7 ± 14.7 years, and 49.4% were women. Patients were distributed as follows: 207 (67.2%), 70 (22.7%), and 31 (10%) in groups 1, 2, and 3, respectively. Median time from diagnosis of psoriasis until the first treatment was 9 [2-19], 4 [0-15], and 0 [0-0] years in groups 1, 2 and 3, respectively. Differences between groups were observed for severity of psoriasis, being a smoker or former smoker, having overweight or obesity, and dyslipidemia, with higher values recorded in group 1. As expected, patients in group 1 received a greater number of treatments than the other groups, except for phototherapy (Table 1).
In group 1, 107 (34.7%), 70 (22.7%), 21 (6.8%), 7 (2.3%), and 2 (0.6%) patients received 1, 2, 3, 4, or 5 biologics or small molecules, respectively. Table S1 in the supplementary material shows the distribution according to the order of treatment received for each type of biologic or small molecule in this group.

3.2. Prevalence of PsA

A total of 36 patients were diagnosed with PsA. The general prevalence of PsA was 11.7% [95% CI, 8.1-15.3]. Prevalence according to groups was 15.5% [95% CI,10.5-20.4], 4.3% [95% CI, 0.0-9.0], and 3.2% [95% CI, 0.0-9.5] in groups 1, 2, and 3, respectively.

3.3. Characteristics of PsA Patients

Mean age was 55.7 ± 15.5 years, and 52.8% were women.
The most frequent type of psoriasis was plaque psoriasis, with a mean PASI score of 8. The median time from onset of psoriasis symptoms to diagnosis of psoriasis and PsA was 7 months and 11 years, respectively. Peripheral PsA was the most frequent type. In addition, 38.9% and 13.9% of the patients had a family history of psoriasis and PsA, respectively. Regarding comorbidities, the most frequent were smoking or former smoking, overweight or obesity, dyslipidemia, and hypertension. OSA was recorded in 13.9%. As for extracutaneous variables, 1 (2.8%) and 6 (17.6%) patients had uveitis or were HLAB27-positive, respectively (Table 2). The distribution of treatments that the 36 patients with psoriasis were receiving at the time they were diagnosed with PsA was as follows: csDMARDs, 16 (44.4%); biologics, 11 (30.6%); and non-pharmacological treatments, 9 (25%).
Of the 36 patients, 32 were in group 1, 3 in group 2, and 1 in group 3. Time from diagnosis of psoriasis, first treatment, and presence of musculoskeletal symptoms until diagnosis of PsA was longer in group 2. Median time from diagnosis of psoriasis until the first treatment was started in groups 1, 2, and 3 was 10.5 [2-19], 2.5 [1-17], and 0 [0-0] years, respectively (Table 2).
As for therapy, the most used csDMARD was methotrexate (83.3%), and all patients received phototherapy. Specifically in group 1, the most used biologic or small molecule was anti-TNF alpha (63.9%), followed by anti–IL12/23 agents (33.3%), anti–IL-23 agents (30.6%), and apremilast (30.6%). In this group, 11 (34.4%),14 (43.7%), and 4 (12.5%) patients received 1, 2, or 3 biologic or small molecules, respectively (Table 2). Table S2 in the supplementary material shows the distribution according to the order of treatment received for each type of biologic or small molecule in this group.

3.4. Risk of Developing PsA

Analysis of the risk of developing PsA over time revealed statistically significant differences, with a higher risk in group 1 considering the time from the diagnosis of psoriasis (HR, 2.457 [95% CI, 1.137-5.310]; p= 0.066) and from initiation of psoriasis treatment (HR, 3.771 [95% CI, 1.873-7.595]; p= 0.006) (Figure 1 and Figure 2).

3.5. Factors Related to Development of PsA

Table 3 shows the results of the univariate and multivariate analyses.
According to the multivariate model, the variables that were significantly associated with onset of PsA comprised OSA (OR, 19.498 [95% CI, 3.492-108.868]; p<0.001), treatment group (OR, 0.262 [95% CI, 0.076-0.905], p=0.034 for group 2 and OR, 0.067 [95% CI, 0.006-0.755], p=0.029 for group 3), and nail involvement (nail only or nail and skin) (OR, 3.605 [95% CI, 1.660-7.830]; p=0.001).

4. Discussion

This observational, retrospective study included 308 patients with moderate-to-severe psoriasis of whom 207, 70, and 31 belonged to groups that received biologics or small molecules (with or without csDMARDs), only csDMARDs, or no pharmacological treatment, respectively, during the study period. We found clinical differences between these treatment groups. The overall prevalence of PsA was 11.69% (95% CI, 8.10-15.28), with most patients in the group receiving biologics or small molecules. This group also had a higher risk of PsA following diagnosis of psoriasis or initiation of treatment. The csDMARDs and non-pharmacological treatment groups had a smaller effect on development of PsA than the biologics or small molecules group, while nail involvement and OSA were associated with the development of PsA.
The prevalence of PsA among patients with psoriasis is variable and is influenced by multiple factors. Two recent meta-analyses have examined the global and regional prevalence of PsA in patients with psoriasis.
Alinaghi et al. [22] collected the results of 266 studies from around the world published up to 2017, estimating the overall pooled prevalence to be 19.7% (95% CI, 18.5%-20.9%). This result varied according to geographical distribution from 35.5% (95% CI, 11.8%-64.0%) in Thailand to 4.9% (95% CI, 1.9%-9.3%) in China. In Spain, the pooled prevalence was 18.7% (95% CI, 15.0%-22.7%). In addition to differences in geographical distribution, the authors found that heterogeneity in the estimates was caused by differences in methodology, including the method used to define PsA, year of publication, disease severity, age at diagnosis (adults), study design, and population size. A subsequent meta-analysis of 346 studies published up to 2023 showed that after adjusting for the covariates of heterogeneity, the global prevalence of PsA in patients with psoriasis was estimated to be 17.58% (95% CI, 3.33%-43.69%), with a prevalence in Spain of 13.93 (95% CI, 9.67-19.33). As in the previous meta-analysis, the authors found that the heterogeneity in the estimates was affected by the same factors [24]. Our prevalence of 11.69% (95% CI, 8.10-15.28) fell within the range of the estimate made in the meta-analysis by Kang et al. [24]. This result was obtained from a population of adult patients with moderate-to-severe psoriasis, all of whom were undergoing treatment. Another factor that may influence the prevalence value is the effect of psoriasis treatment (e.g., early biological therapies) on the development of PsA [25]. Many prevalence studies do not specify whether patients were receiving treatment for psoriasis or the type of treatment, nor do they analyze prevalence according to the treatment received [22,24,26]. In our sample, most patients (two-thirds) were receiving biologics or small molecules during the study period, reflecting current management according to clinical guidelines for patients with moderate-to-severe psoriasis [27,28]. This could account for our prevalence being lower than that observed in studies from earlier periods, in which treatment was not introduced as early and biologics were not as widely used. Furthermore, it would support the hypothesis that biological therapy for psoriasis could prevent the development of PsA.
In this regard, studies conducted in recent years investigated the preventive capacity of biological treatment in the development of PsA. Although most would support this hypothesis, contradictory results have been reported. Gisondi et al. [17] demonstrated a lower incidence of PsA in patients with psoriasis undergoing biological therapy than in those undergoing phototherapy. Rosenthal et al. [18] also identified a lower risk of developing PsA with biologics than with csDMARDs. Watad et al. [29] showed that biological agents are more effective than methotrexate in reducing incident PsA. By comparing with patients who were never treated with biologics, Floris et al. [25] found that different classes of biologics reduce the likelihood of peripheral and axial PsA, without distinguishing between different types of topical and systemic treatments. However, Acosta-Felquer et al. [30] identified a lower risk of PsA in patients treated with bDMARDs compared to topical treatments but not compared to csDMARDs. In addition, Meer et al. [31] found that the use of biologic therapies was associated with the development of PsA in patients with psoriasis. These studies are retrospective and heterogeneous in terms of design (observational [17,25,30] and population-based [18,29,31]), follow-up time, the context in which psoriasis and PsA were diagnosed, the types of population evaluated, and the criteria used for diagnosis. For this reason, clinical trials have been initiated to obtain a higher level of evidence to support this preventive effect [18].
Of the 36 patients diagnosed with PsA in our study, only 30% were taking biologics at the time of diagnosis; the remainder were taking csDMARDs (44.4%) and non-pharmacological treatment (25%). However, 32/36 patients who developed PsA belonged to the biologics and small molecules group, because they received these treatments for control of psoriasis throughout the study period. In this regard, the survival curves in our study showed that patients receiving biologics and small molecules were at greater risk of developing PsA than the other treatment groups. This increased risk was not only present from the start of treatment, but also from the diagnosis of psoriasis, thus supporting the idea that the development of PsA is determined by other factors from the onset of psoriasis or prior to it [8]. We found that patients receiving biologics and small molecules had more pronounced disease activity (PASI), a higher number of systemic treatments (≥ 2 biologics, 48%, with csDMARDs in at least 75%) and were more frequently obese, potentially indicating an additive effect and accounting for the observation that belonging to the csDMARD and non-pharmacological treatment groups has a smaller effect on the development of PsA than belonging to the biologics and small molecules group. Although the PASI score was not associated with the development of PsA, its predictive value has been shown to be weak and to increase when severity is defined by the need for systemic treatments [8]. Therefore, the group of biologics and small molecules in our study is the one with the most severe psoriasis. In addition, our study population already had an increased risk of developing PsA owing to moderate-to-severe activity of psoriasis, and on this basis, we detected, as have other authors, an association between PsA and nail involvement [8]. Similarly, musculoskeletal symptoms were associated with the development of PsA, since 100% of patients with PsA previously had these symptoms. On the other hand, there is no direct evidence that OSA is associated with PsA in patients with psoriasis. We found a limited number of studies identifying OSA as a factor associated with the development of psoriasis [32,33]. We even observed a bidirectional association, as both processes share a proinflammatory state coinciding in inflammatory pathways and cytokines [34]. Given that both psoriasis and PsA constitute psoriatic disease, OSA could also be related to the development of PsA in affected patients. This finding from our study is interesting, although it must be confirmed in further research.
The main strength of this study is that it reflects daily clinical practice in the management of patients with moderate-to-severe psoriasis. The exponential increase in the use of biologics in recent years in this patient population is reflected in a lower prevalence of PsA than previous estimates in Spain [22,26]. The observational design does not present coding or classification problems and allows for the inclusion of clinical and demographic variables. Consequently, our design differs from that of other studies that are epidemiological and collect variables from registries not originally designed for research purposes [18,29,31]. Furthermore, we believe it is appropriate to investigate a population that is at higher risk of PsA because of disease activity. In turn, the use of a validated index such as the PASI allows for a more precise definition of the population with moderate-or-severe activity than using, as in other studies, the type of prescription (biological treatments vs. non-biological treatments, systemic treatments vs. non-systemic treatments) [8].
Our study is subject to limitations. First, the accuracy of the data may be affected by the retrospective design. Specifically, the obesity/overweight variable may be underestimated, since body mass index was not recorded for all patients in the dermatology outpatient clinic, thus explaining why it was not associated with PsA in our multivariate analysis. However, the accuracy of the data was improved by using external monitoring to identify errors and missing data, which were corrected and completed, if necessary, by telephoning the patients or contacting general practitioners. Second, PsA screening tools such as PASI are used in the psoriasis outpatient clinic, and a rheumatologist is consulted on the same day to identify patients in whom the presence of PsA should be investigated. Third, a possible confounding bias is that a patient may have received multiple treatments of varying duration, making it difficult to relate the development of PsA to a single treatment. Finally, participants were distributed unevenly between treatment groups, with a predominance of group 1. The cohort analyzed is representative of the Spanish population, and the clinical setting closely reflects real-world scenarios. Generalization of the results might be restricted to healthcare settings with similar patient demographics, prescribing behaviors, and treatment availability as in Spain’s psoriasis population. To overcome our limitations and those of other retrospective studies, we plan to develop a prospective multicenter study to determine the incidence of PsA among patients with psoriasis.

5. Conclusions

In conclusion, our retrospective study of patients with moderate-to-severe psoriasis revealed a predominance of biologics over other treatments, and in this context, a lower prevalence of PsA than estimates made in years prior to the study period. Not requiring biologics, which suggests better disease control, had a smaller effect than requiring biological treatment. Nail involvement is well known to be associated with PsA. A novel and interesting finding of the present study was the association between OSA and PsA.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org, Figure S1: title; Table S1: title; Video S1: title.

Author Contributions

Conceptualization: CVD, TCI, SMF, RVG; Methodology: AICV; Software: ITV, IOS; Validation: AVEV, MBPR, LTF; Formal Analysis: ITV, IOS; Investigation: CVD, G CN, CGY, AVAA, MS, PRA, AVEV, MBPR, LTF; Resources: RVG, CGY; Data Curation: MLRB, ICF, MS; Writing – Original Draft Preparation: CVD, TCI; Writing – Review & Editing: ITV, TCI, IP, SMF; Visualization: IP, PRA, MLRB; Supervision: TCI, SMF.

Funding

This research received no external funding.

Institutional Review Board Statement

This study was conducted in accordance with the principles of the Declaration of Helsinki and approved by the Clinical Research Ethics Committee of Hospital Universitario de Getafe, Getafe (Madrid), Spain (study code: A04/24) on 25 April, 2024..

Informed Consent Statement

The need for informed consent was waived because of the retrospective nature of the study.

Data Availability Statement

The original contributions presented in the study are included in the. article,: further inquiries can be directed to the corresponding author.

Acknowledgments

The authors thank the Spanish Foundation of Rheumatology for providing medical writing/editorial assistance during the preparation of the manuscript (FERBT2025).

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
PsA Psoriatic arthritis
csDMARD Conventional synthetic disease modifying anti-rheumatic drugs
OSA Obstructive sleep apnea
IMID
PASI
CRP
bDMARDs
immune-mediated inflammatory disease
Psoriasis Area and Severity Index
C-reactive protein
Biologic disease modifying anti-rheumatic drugs

Appendix A

Table A1. Order of biologics and small molecules received by psoriasis patients.
Table A1. Order of biologics and small molecules received by psoriasis patients.
Anti-TNF alpha Anti-IL17 Anti-IL-12/23 Anti-IL-23 Apremilast
First
Second
Third
Fourth
Fifth
Never received
109 (35.4)
16 (5.2)
1 (0.32)
1 (0.32)
0
181 (58.7)
8 (2.6)
19 (6.2)
7 (2.3)
2 (0.6)
2 (0.6)
270 (87.7)
34 (11)
29 (9.4)
2 (0.6)
2 (0.6)
0
241 (78.2)
3 (0.97)
24 (7.8)
17 (5.5)
4 (1.3)
0
260 (84.4)
54 (17.5)
10 (3.25)
3 (0.97)
0
0
241 (78.2)
Data are shown as n (%).
Table A2. Order of biologics and small molecules received by psoriasis patients.
Table A2. Order of biologics and small molecules received by psoriasis patients.
Anti-TNF alpha Anti-IL17 Anti-IL-12/23 Anti-IL-23 Apremilast
First
Second
Third
Fourth
Fifth
Never received
20 (55.6)
2 (5.6)
0
1 (2.8)
0
13 (36.1)
0
5 (13.9)
1 (2.8)
0
1 (2.8)
29 (80.1)
3 (8.3)
8 (22.2)
1 (2.8)
0
0
24 (66.7)
2 (5.6)
3 (8.3)
4 (11.1)
2 (5.6)
0
25 (69.4)
7 (19.4)
3 (8.3)
1 (2.8)
0
0
25 (69.4)
Data are shown as n (%).

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  20. Taylor, W.; Gladman, D.; Helliwell, P.; Marchesoni, A.; Mease, P.; Mielants, H. CASPAR Study Group. Classification criteria for psoriatic arthritis: development of new criteria from a large international study. Arthritis Rheum. 2006 Aug;54(8):2665–73. [CrossRef]
  21. Fredriksson, T.; Pettersson, U. Severe psoriasis – oral therapy with a new retinoid. Dermatológica. 1978;157(4):238–44. [CrossRef]
  22. Alinaghi, F.; Calov, M.; Kristensen, L.E.; Gladman, D.D.; Coates, L.C.; Jullien, D.; Gottlieb, A.B.; Gisondi, P.; Wu, J.J.; Thyssen, J.P. et al. Prevalence of psoriatic arthritis in patients with psoriasis: a systematic review and meta-analysis of observational and clinical studies. J Am Acad Dermatol. 2019;80(1):251–65. [CrossRef]
  23. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013;310(20):2191–4. [CrossRef]
  24. Kang, Z.; Zhang, X.; Du, Y.; Dai, S.M. Global and regional epidemiology of psoriatic arthritis in patients with psoriasis: a comprehensive systematic analysis and modelling study. J Autoimmun. 2024 May;145:103202. [CrossRef]
  25. Floris, A.; Mugheddu, C.; Sichi, L.; Anedda, J.; Frau, A.; Sorgia, J.; Li Volsi, L.; Paladino, M.T.; Congia, M.; Chessa, E. et al. Treatment of psoriasis with different classes of biologics reduces the likelihood of peripheral and axial psoriatic arthritis development. Rheumatology (Oxford). 2025 Mar 1;64(3):1131-1137. [CrossRef]
  26. López Estebaranz, J.L.; Zarco-Montejo, P.; Samaniego, M.L.; García-Calvo, C. Prevalence and clinical features of psoriatic arthritis in psoriasis patients in Spain. Eur J Dermatol. 2015;25(1):57–63. [CrossRef]
  27. Carrascosa, J.M.; Puig, L.; Belinchón Romero, I.; Salgado-Boquete, L.; Del Alcázar, E.; Andrés Lencina, J.J.; Moreno, D.; de la Cueva, P. Actualización práctica de las recomendaciones del Grupo de Psoriasis de la Academia Española de Dermatología y Venereología (GPS) para el tratamiento de la psoriasis con terapia biológica. Parte 1. «Conceptos y manejo general de la psoriasis con terapia biológica». Actas Dermosifiliogr. 2022;113(3):261–277. [CrossRef]
  28. Nast, A.; Smith, C.; Spuls, P.I.; Avila Valle, G.; Bata-Csörgo, Z.; Boonen, H.; De Jong, E.; Garcia-Doval, I.; Gisondi, P.; Kaur-Knudsen et al. EuroGuiDerm Guideline on the systemic treatment of Psoriasis vulgaris – Part 1: treatment and monitoring recommendations. Br J Dermatol. 2021;184(3):550–567. [CrossRef]
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  30. Acosta Felquer, M.L.; LoGiudice, L.; Galimberti, M.L.; Rosa, J.; Mazzuoccolo, L.; Soriano, E.R. Treating the skin with biologics in patients with psoriasis decreases the incidence of psoriatic arthritis. Ann Rheum Dis. 2022;81(1):74–79. [CrossRef]
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Figure 1. Time from diagnosis of psoriasis to diagnosis of PsA. HR: hazard ratio; CI: confidence interval.
Figure 1. Time from diagnosis of psoriasis to diagnosis of PsA. HR: hazard ratio; CI: confidence interval.
Preprints 180649 g001
Figure 2. Time from initiation of treatment until diagnosis of PsA. HR: hazard ratio; CI: confidence interval.
Figure 2. Time from initiation of treatment until diagnosis of PsA. HR: hazard ratio; CI: confidence interval.
Preprints 180649 g002
Table 1. Demographic and clinical characteristics of psoriasis patients.
Table 1. Demographic and clinical characteristics of psoriasis patients.
Total
N=308
Group 1
N=207 (67.2%)
Group 2
N=70 (22.7%)
Group 3
N=31 (10.1%)
p value
Demographic data
Age
Female sex

55.7±14.75
152 (49.4)

56.5±14.4
100 (48.3)

55.9±16.1
37 (52.9)

49.8±13.1
15 (48.4)

0.061
0.8
Variables related to psoriasis
Type of psoriasis
Plaque
Scalp
Inverse
Pustular
Nail involvement
Cutaneous and nail
PASI
Psoriasis family history
PsA family history
Time (months) between
onset of symptoms and
diagnosis of psoriasis
Comorbidities
Smoker/former smoker
Alcohol consumption
Overweight/obesity
Hypertension
Dyslipemia
Diabetes
Depression
Hepatic steatosis
COPD
Hyperuricemia
OSA
Extracutaneous variables
Musculoskeletal
Symptoms
Uveitis
IBD
CRP
HLA B27-positive
Treatments&
Anti-TNF alpha
Anti-IL17
Anti-IL12/23
Anti-IL23
Apremilast
Jak inhibitor
Methotrexate
Cyclosporine
Acitretin
Phototherapy
141(45.8)
54 (17.5)
12 (3.9)
35 (11.4)
22 (7.1)
44 (14.3)
7.8 [4.2-11]
115 (37.3)
23 (7.5)
6 [0-24]






195 (64.1)
19 (6.2)
112 (36.4)
79 (25.6)
135 (43.8)
30 (9.7)
23 (7.5)
45 (14.6)
12 (3.9)
26 (8.4)
10 (3.2)

92 (29.9)

2 (0.6)
2 (0.6)
2.4 [0.8-4.9]
13 (8.5)

127 (41.2)
38 (12.3)
67 (21.8)
48 (15.6)
67 (21.8)
1 (0.3)
202 (65.6)
103 (33.4)
156 (50.6)
301 (97.7)
79 (38.2)
48 (23.2)
12 (5.8)
24 (11.6)
20 (9.7)
24 (11.6)
8.9 [5-12]
77 (45.8)
16 (10.7)
6 [0.3-26.5]






142 (69.6)
17 (8.2)
95 (45.9)
57 (27.5)
102 (49.3)
21 (10.1)
18 (8.7)
35 (16.9)
7 (3.4)
19 (9.2)
6 (2.9)

54 (26.1)

1 (0.5)
2 (1)
3.1 [0.9-4.9]
12 (8.6%)

127 (61.4)
38 (18.4)
67 (32.4)
48 (23.2)
67 (32.4)
1 (0.5)
156 (75.4)
85 (41.4)
110 (53.1)
200 (96.6)



42 (60)
3 (4.3)
0
9 (12.9)
0
16 (22.9)
6.6 [4.1-10.9]
27 (40.9)
7 (11.7)
3 [0-18.5]



37 (52.9)
1 (1.4)
14 (20)
18 (25.7)
22 (31.4)
6 (8.6)
4 (5.7)
9 (12.9)
3 (4.3)
5 (7.1)
0

27 (38.6)

1 (1.4)
0
2.2 [0.6-4.2]
0

0
0
0
0
0
0
46 (65.7)
18 (25.7)
46 (65.7)
70 (100)



20 (64.5)
3 (9.7)
0
2 (6.5)
2 (6.5)
4 (12.9)
3.6 [1-6.6]
11 (37.9)
0
16 [1.5-48.8]



16 (53.3)
1 (3.2)
3 (9.7)
4 (12.9)
11 (35.5)
3 (9.7)
1 (3.2)
1 (3.2)
2 (6.5)
2 (6.5)
4 (12.9)

11 (35.5)

0
0
4.1 [0.4-10]
1 (25)

0
0
0
0
0
0
0
0
0
31 (100)



NA
NA
NA
NA
NA
NA
0.003
0.632
0.052
0.089



0.018
NA
< 0.001
0.22
0.021
0.929
0.456
0.118
NA
0.796
NA

0.11

NA
NA
0.897
NA

<0.001
<0.001
<0.001
<0.001
<0.001
NA
<0.001
<0.001
<0.001
NA
Data are shown as n (%) and mean ± standard deviation or median [interquartile range p25-p75] & TREATMENTS: patients received treatment during the disease course and could have been taking any treatment previously. Group 1: receiving biologics or small molecules with or without csDMARDs. Group 2: receiving systemic conventional treatment (methotrexate, acitretin, or cyclosporine). Group 3: receiving non-pharmacological treatments such as phototherapy or topical agents. PsA: psoriatic arthritis; N/A: not applicable; SD: standard deviation; IQR: interquartile range [p25-p75]; COPD: chronic obstructive pulmonary disease; OSA: obstructive sleep apnea; CRP: C-reactive protein; IBD: inflammatory bowel disease.
Table 2. Demographic and clinical characteristics of psoriatic arthritis patients.
Table 2. Demographic and clinical characteristics of psoriatic arthritis patients.
N=36
Demographic data
Age
Female sex

55.7±15.53
19 (52.8)
Variables related to psoriasis
Type of psoriasis
Plaque
Scalp
Inverse
Pustular
Nail involvement
Cutaneous and nail
PASI
Psoriasis family history
PsA family history
Time (months) between onset of symptoms and
diagnosis of psoriasis

Variables related to PsA
Type of PsA
Peripheral
Axial
Peripheral and axial
Time (months) between onset of symptoms and
diagnosis of psoriasis
Comorbidities
Smoker/former smoker
Alcohol consumption
Overweight/obesity
Hypertension
Dyslipemia
Diabetes
Depression
Hepatic steatosis
COPD
Hyperuricemia
OSA
Extracutaneous and extramusculoskeletal variables
Uveitis
IBD
CRP
HLA B27-positive
Psoriasis treatment at diagnosis of PsA
csDMARDs
Methotrexate
Cyclosporine
Acitretin
Biologics
Anti-TNF alpha
Anti-IL17
Anti-IL12/23
Anti-IL23
Treatments&
Anti-TNF alpha
Anti-IL17
Anti-IL12/23
Anti-IL23
Apremilast
Jak inhibitor
Methotrexate
Cyclosporine
Acitretin
Phototherapy


10 (27.8)
6 (16.7)
3 (8.3)
2 (5.5)
1 (2.78)
14 (38.9)
8+4.9
14 (38.9)
5 (13.9)
7 [0-12]




22 (66.1)
6 (16.7)
8 (22.2)
11 [0-12]


20 (55.5)
3 (8.3)
14 (38.9)
12 (33)
18 (50)
6 (16.7)
5 (13.9)
7 (19.4)
1 (2.8)
3 (8.3)
5 (13.9)

1 (2.8)
0
3.1 [0.7-11]
6 (17.6)

16 (44.4)
11 (30.5)
4 (11.1)
1 (2.7)
11 (30.5)
6 (16.6)
1 (2.7)
2 (5.5)
2 (5.5)

23 (63.9)
7 (19.44)
12 (33.3)
11 (30.6)
11 (30.6)
0
30 (83.3)
10 (27.8)
17 (47.2)
36 (100)
Number of biologics or small molecules (group 1)
1
2
3
>3
Time (years) from psoriasis and PsA diagnosis
Group 1
Group 2
Group 3
Time (months) from musculoskeletal symptoms to PsA
Group 1
Group 2
Group 3
Time (years) from diagnosis of psoriasis and
treatment (group 1)
Time (years) from diagnosis of psoriasis and
treatment (group 2)
Time (years) from diagnosis of psoriasis and
treatment (group 3)

11 (34.4)
14 (43.7)
4 (12.5)
3 (8.35)
7.5 [2-20]
7.5 [2-20]
21[4-22.5]
2 [2-2]
15 [5.5-34.7]
11 [4-34.5]
25 [19.5-46]
NA
10.5 [2-19]

2.5 [1-17]

0
Data are shown as n (%) and mean ± standard deviation or median [interquartile range p25-p75]. & TREATMENTS: patients received treatment during the disease course and could have been taking any treatment previously. Group 1: receiving biologics or small molecules with or without csDMARDs. Group 2: receiving systemic conventional treatment (methotrexate, acitretin, or cyclosporine). Group 3: receiving non-pharmacological treatments such as phototherapy or topical agents. PsA: psoriatic arthritis, N/A: not applicable, SD: standard deviation, IQR: interquartile range [p25-p75], COPD: chronic obstructive pulmonary disease, OSA: obstructive sleep apnea, CRP: C-reactive protein, csDMARD: conventional synthetic disease-modifying antirheumatic drug; IBD: inflammatory bowel disease.
Table 3. Factors associated with psoriatic arthritis.
Table 3. Factors associated with psoriatic arthritis.
Variables                 Univariate                            Multivariate

Age at diagnosis
Female sex
Time (years) from onset of psoriasis         symptoms and diagnosis of PsA
Time (years) from diagnosis of psoriasis until initiation of psoriasis treatment
Disease duration
PASI
Smoker/former smoker
Alcohol consumption
OSA
Hepatic steatosis
Depression
Overweigh and obesity
Family history of psoriasis
Family history of PsA
Treatment group
Group 1 (ref)
Group 2
Group 3
Type of psoriasis
Nail involvement
Nail only or nail and skin
                OR (95% CI)         p value             OR (95% CI)         p value            
             1 (0.98-1.02)             0.99
             1.168 (0.582-2.343)    0.662
0.985 (0.953-1.017)    0.348

1.01 (0.9-1.04)            0.487            


0.997 (0.994-0.999)    0.043             0.997 (0.994-1.01)     0.051
0.979 (0.9-1.064)        0.613
0.664(0.324-1.343)     0.255
1.455 (0.402-5.259)    0.568
8.613 (2.361-31.42)    0.001             19.5 (3.5-108.9)         <0.001
1.486 (0.608-3.633)    0.385
2.276 (0.79-6.561)     0.128
1.13 (0.553-2.308)     0.738
0.99 (0.474-2.105)     0.99
0.434 (0.147-1.278)    0.13

0.245 (0.073-0.827)    0.023             0.262 (0.07-0.9)         0.034
0.182 (0.024-1.385)    0.1                 0.067 (0.006-7.55)     0.029

0.341 (0.045-2.618)    0.301            
3.095 (1.493-6.418)    0.002             3.605 (1.66-7.83)        0.001
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