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Article

Predictors of DAPSA Response in Psoriatic Arthritis Patients Treated with Apremilast in a Retrospective Observational Multi-Centric Study

by
Andrea Becciolini
1,
Simone Parisi
2,
Patrizia Del Medico
3,
Antonella Farina
4,
Elisa Visalli
5,
Aldo Biagio Molica Colella
6,
Federica Lumetti
7,
Rosalba Caccavale
8,
Palma Scolieri
9,
Romina Andracco
10,
Francesco Girelli
11,
Elena Bravi
12,
Matteo Colina
13,14,
Alessandro Volpe
15,
Aurora Ianniello
16,
Maria Chiara Ditto
2,
Valeria Nucera
16,
Veronica Franchina
17,
Ilaria Platè
12,
Eleonora Di Donato
1,
Giorgio Amato
5,
Carlo Salvarani
18,
Simone Bernardi
11,
Gianluca Lucchini
1,
Francesco De Lucia
5,
Francesco Molica Colella
19,
Daniele Santilli
1,
Natalia Mansueto
10,
Giulio Ferrero
20,
Antonio Marchetta
15,
Eugenio Arrigoni
12,
Rosario Foti
5,
Gilda Sandri
18,
Vincenzo Bruzzese
9,
Marino Paroli
8,
Enrico Fusaro
2 and
Alarico Ariani
1,*
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1
Internal Medicine and Rheumatology Unit, Department of Medicine, University Hospital of Parma, 43121 Parma, Italy
2
Rheumatology Unit, Department of General and Specialistic Medicine, Azienda Ospedaliera Universitaria, Città della Salute e della Scienza di Torino, 10121 Turin, Italy
3
Rheumatology Outpatient Clinic, Internal Medicine Unit, Civitanova Marche Hospital, 62012 Civitanova Marche, Italy
4
Internal Medicine Unit, Rheumatology Outpatient Clinic, Ospedale “A. Murri”, 63900 Fermo, Italy
5
Rheumatology Unit, Policlinico San Marco University Hospital of Catania, 95121 Catania, Italy
6
Rheumatology Unit, Azienda Ospedaliera Papardo, 98158 Messina, Italy
7
Rheumatology Unit, Azienda USL of Modena and AOU Policlinico of Modena, 41100 Modena, Italy
8
Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Polo Pontino, 04100 Latina, Italy
9
Unit of Internal Medicine and Rheumatology, “Nuovo Regina Margherita/S. Spirito” Hospital, ASL Roma 1, 00153 Rome, Italy
10
Distretto Socio Sanitario ASL 1 Imperiese, 18100 Imperia, Italy
11
Rheumatology Service, Internal Medicine Unit, GB Morgagni Hospital, 47121 Forli, Italy
12
Rheumatology Unit, Ospedale Guglielmo da Saliceto, 29121 Piacenza, Italy
13
Rheumatology Service, Section of Internal Medicine, Department of Medicine and Oncology, Ospedale Santa Maria della Scaletta, 40026 Imola, Italy
14
Alma Mater Studiorum, Department of Biomedical and Neuromotor Sciences, University of Bologna, 40126 Bologna, Italy
15
Rheumatology Unit, IRCCS Sacro Cuore Don Calabria, 37024 Bologna, Italy
16
Rheumatology Outpatient Unit, ASL Novara, 28100 Novara, Italy
17
UOC Oncologia Medica Azienda Ospedaliera Papardo, 98158 Messina, Italy
18
Rheumatology Unit, University of Modena and Reggio Emilia, 41100 Modena, Italy
19
Internal Medicine Unit, University Bicocca Milan, 20126 Milano, Italy
20
Unit of Diagnostic and Interventional Radiology, Santa Corona Hospital, 17027 Pietra Ligure, Italy
*
Author to whom correspondence should be addressed.
Biomedicines 2023, 11(2), 433; https://doi.org/10.3390/biomedicines11020433
Submission received: 31 December 2022 / Revised: 29 January 2023 / Accepted: 31 January 2023 / Published: 2 February 2023
(This article belongs to the Section Immunology and Immunotherapy)

Abstract

:
Background: To date, only a few real-world-setting studies evaluated apremilast effectiveness in psoriatic arthritis (PsA). The aims of this retrospective observational study are to report long-term Disease Activity Index for Psoriatic Arthritis (DAPSA) response of apremilast in PsA patients and to analyze the predictors of clinical response. Methods: All PsA consecutive patients treated with apremilast in fifteen Italian rheumatological referral centers were enrolled. Anamnestic data, treatment history, and PsA disease activity (DAPSA) at baseline, 6 months, and 12 months were recorded. The Mann–Whitney test and chi-squared tests assessed the differences between independent groups, whereas the Wilcoxon matched pairs signed-rank test assessed the differences between dependent samples. Logistic regressions verified if there were factors associated with achievement of DAPSA low disease activity or remission at 6 and 12 months. Results: DAPSA low disease activity or remission rates at 6 and 12 months were observed, respectively, in 42.7% (n = 125) and 54.9% (n = 161) patients. Baseline DAPSA was inversely associated with the odds of achieving low disease activity or remission at 6 months (odds ratio (OR) 0.841, 95% confidence interval (CI) 0.804–0.879; p < 0.01) and at 12 months (OR 0.911, 95% CI 0.883–0.939; p < 0.01). Conclusions: Almost half of the PsA patients receiving apremilast achieved DAPSA low disease activity or remission at 6 and 12 months. The only factor associated with achievement of low disease activity or remission at both 6 and 12 months was baseline DAPSA.

1. Introduction

Psoriatic arthritis (PsA) is a chronic inflammatory disease that affects joints, tendons, and entheses, that can lead to progressive and destructive joint damage and functional disability [1]. Apremilast is an oral inhibitor of phosphodiesterase 4 that EULAR guidelines recommend to use in PsA patients with moderate activity or when other agents are contraindicated [2]. In four phase III studies, PALACE 1, PALACE 2, PALACE 3, and PALACE 4, apremilast demonstrated a significant clinical response in patients with PsA that were naïve or experienced with other disease-modifying antirheumatic drugs (DMARDs) [3,4,5,6]. A recent post hoc analysis of the PALACE 1–3 studies highlighted that 131/375 (39.4%) PsA patients achieved a Clinical Disease Activity Index for Psoriatic Arthritis (cDAPSA) low disease activity or remission at 52 weeks of treatment with apremilast [7]. Moreover, the probability of achieving low disease activity or remission was greater for patients with baseline moderate versus high disease activity [7]. Similarly, a post hoc analysis of the PALACE 4 study reported that 62/138 (44.9%) PsA patients achieved a cDAPSA low disease activity or remission at 52 weeks of treatment with apremiliast, with higher probability for those with baseline moderate disease activity [8].
Despite this evidence from registration and post hoc analysis studies, the external validity of randomized controlled trials is significantly hindered by stringent inclusion and exclusion criteria, thus, limiting the generalizability to real-world clinical practice [9]. Only a few papers have addressed apremilast effectiveness in a real-word setting; however, they reported prevalently short-term results in relatively small populations [10,11,12,13,14]. Therefore, to date, real-word data reporting apremilast effectiveness are lacking.
Recently, we analyzed the 3-year apremilast retention rate, reasons for discontinuation, and factors related to treatment persistence in a large multicenter observational retrospective study [15].
The aims of the present study, including the same large multicenter observational retrospective cohort, are to report the baseline characteristics of PsA patients according to their possible inclusion in the PALACE trials, the long-term DAPSA response of apremilast, and the predictors of clinical response.

2. Materials and Methods

2.1. Patients

The analyzed population is part of the BIRRA (Biologics Retention Rate Assessment) project, an observational retrospective study [15]. All PsA consecutive patients from fifteen Italian rheumatological referral centers were screened. Inclusion criteria were as follows: (a) PsA diagnosis according to CASPAR criteria [16], (b) apremilast prior to actual use, (c) availability of data about treatment beginning and discontinuation, and (d) availability of data regarding DAPSA at baseline, 6 months, and 12 months. Patients who received apremilast and bDMARDs at the same time or only for dermatologic indication (i.e., psoriasis (PsO)) were excluded.
The inclusion/exclusion criteria of the PALACE 1–2 studies [3,4] divided the cohort into two groups. Subjects who satisfied these criteria made up the PALACE-like subgroup (PLG); the other group was the real-world subgroup (RWG).

2.2. Data

For each patient, the following data were recorded: general characteristics (age, sex, body mass index (BMI), smoking habit, presence of the human leukocyte antigen (HLA) class I molecule B27, PsA and PsO onset, and diagnosis date), PsA phenotype, as judged by the treating physician (oligo-articular (i.e., less than 5 swollen joints involved), poli-articular, enthesitic, axial, and dactylic subtype), apremilast-related information (date of the first and last intake), other PsA treatment history (both csDMARDs and bDMARDs), PsA disease activity (number of tender/swollen joints, painful enthesis and fingers affected by dactylitis, C-reactive protein, pain Visual Analog Scale, and patient global assessment values) at baseline, 6 months, and 12 months, and the presence of comorbidities. DAPSA assessed the PsA disease activity [17].
Cancer, HBV, HCV, latent tuberculosis (TB), and other chronic infections were considered as relevant comorbidities. The classification of apremilast treatment interruptions included primary or secondary failure, gastro-intestinal intolerance, neurologic side effects, infection, and cancer.

2.3. Statistical Analysis

The D’Agostino–Pearson test verified the variables’ normal distribution. Continuous variables were reported as median value and interquartile range (IQR) and categorical values as percentage.
The Mann–Whitney test and chi-squared tests assessed the differences between PLG and RWG. The Wilcoxon matched pairs signed-rank test assessed the differences between dependent samples. Logistic regressions verified if there were factors (age, sex, BMI, smoking habit, relevant comorbidity, PsA disease duration, baseline DAPSA score, concomitant csDMARDs treatment, number of previous bDMARDs, number of previous cDMARDs) associated with achievement of DAPSA and cDAPSA low disease activity or remission at 6 and 12 months. We performed univariate logistic regression analysis on all variables and included those with a p-value < 0.1 into multivariate logistic regression analysis to determine independent prognostic factors of DAPSA low disease activity or remission at 6 and 12 months. The effectiveness outcomes were analyzed with the intention to treat approach, with last observation carried forward where appropriate. A p-value < 0.05 was considered statistically significant. Statistical analysis was performed using an online application (www.statskingdom.com, last visit 20 December 2022).

3. Results

3.1. Patient Characteristics

Among the three-hundred fifty-six PsA patients included in our previous report [15], two-hundred ninety-three with a follow-up period of at least one year were enrolled in the study. One-hundred twenty-six (43%) patients were male. Their median age was 60 (IQR 53–68) years, whereas the median PsA disease duration was 49 (IQR 17–98.25) months. The median DAPSA score at baseline was 24.4 (IQR: 19.4–32). Sixty-nine (23.5%) patients did not receive any DMARDs before apremilast. Relevant comorbidities affected one-hundred thirty-seven (46.8%) patients. The main baseline patient characteristics, according to PLG and RWG, are reported in Table 1.

3.2. DAPSA Response

The median DAPSA score in the overall cohort of patients was significantly reduced from baseline at both 6 and 12 months, respectively, 15.8 (IQR 11–23.8, p < 0.01) and 14 (IQR 9.3–21.8, p < 0.01). Similarly, the median DAPSA score in the PLG and RWG of patients was significantly reduced from baseline at both 6 months, 18.2 (IQR 14.5–23.9, p < 0.01) and 15 (IQR 10.1–23.5, p < 0.01), and 12 months, 15.5 (IQR 12.1–23.4, p < 0.01) and 13.3 (IQR 9.2–21.2, p < 0.01). The median DAPSA reduction in PLG and RWG was similar at both 6 and 12 months, respectively −9 (IQR −1.5–−17.5) vs. −8.1 (IQR −2–−12.3), p = 0.15, and −13 (IQR −1.5–−20.2) vs. −11 (IQR −2–−15.3), p = 0.15 (Figure 1).
In the overall population, the DAPSA remission rates at 6 and 12 months were, respectively, 2.4% (n = 7) and 7.2% (n = 21). Moreover, in the overall population, the DAPSA low disease activity or remission rates at 6 and 12 months were, respectively, 42.7% (n = 125) and 54.9% (n = 161). The rates of DAPSA remission, low disease activity, moderate disease activity, and high disease activity at 6 and 12 months are reported in Figure 2. The rates of cDAPSA remission, low disease activity, moderate disease activity, and high disease activity are reported in Supplementary Figure S1. The DAPSA remission and low disease activity or remission rates were lower in the PLG than in the RWG at 6 months, respectively, 0% (n = 0) vs. 2.9% (n = 7) (p = 0.2) and 22.2% (n = 12) vs. 47.3% (n = 113) (p < 0.01), and at 12 months, respectively, 3.7% (n = 2) vs. 7.9% (n = 19) (p = 0.24) and 42.6% (n = 23) vs. 57.7% (n = 138) (p = 0.04). The rates of DAPSA remission, low disease activity, moderate disease activity, and high disease activity in PLG and RWG at 6 and 12 months are reported in Figure 3.

3.3. Predictors of DAPSA Low Disease Activity or Remission at 6 and 12 Months

Logistic regressions were performed to assess the relationship between age, BMI, sex, smoking habit, relevant comorbidity, PsA duration, baseline disease activity and concomitant csDMARDs, number of previous bDMARDs, number of previous cDMARDs, and the achievement of low disease activity or remission at 6 and 12 months. At both time points, lower baseline DAPSA was associated with the achievement of low disease activity or remission at 6 and 12 months. In particular, baseline DAPSA was inversely associated with the odds of achieving low disease activity or remission at 6 months (Odds Ratio (OR) 0.841, 95% Confidence Interval (CI) 0.804–0.879; p < 0.01) and at 12 months (OR 0.911, 95% CI 0.883–0.939; p < 0.01). Moreover, a higher number of previous csDMARDs was slightly associated with the odds of achievement of DAPSA low disease activity or remission at 12 months (OR 1.342, 95% CI 1.003–1.795, p = 0.048). Table 2 and Table 3 report the univariate and multivariate logistic regressions of variables associated with achievement of DAPSA low disease activity or remission at 6 and 12 months, respectively. Supplementary Tables S1 and S2 report the univariate and multivariate logistic regressions of variables associated with achievement of cDAPSA low disease activity or remission at 6 and 12 months, respectively.

4. Discussion

To the best of our knowledge, this is the largest study reporting apremilast DAPSA response in a real-world setting PsA cohort. Although our patients do not derive from a national registry, the fifteen centers that participated in this study are well distributed on the Italian territory; therefore, they may represent the country-prescribing scenario.
The first result of our study highlighted that less than one-fifth of the PsA patients treated with apremilast in a real-world setting satisfied the inclusion/exclusion criteria of the PALACE studies. When comparing the RWG and the PLG, there are some striking differences in baseline characteristics, such as disease activity, disease duration, and comorbidity burden. Therefore, we can conclude that real-world data have a pivotal role in characterizing the effectiveness of a treatment.
The second result of our study reported the 6- and 12-month DAPSA response rates of PsA patients treated with apremilast. In particular, the DAPSA low disease activity or remission rates at 6 and 12 months were, respectively, 42.7% and 54.9%, with significantly higher rates for the RWG in comparison to the PLG. Only a few previous studies documented DAPSA response in real-world patients treated with apremilast [10,11,12,13]. A previous Italian multicentric study reported a lower low disease activity or remission rate at 6 months (29.2%) when compared to our cohort (42.7%); however, it is noteworthy that authors analyzed a smaller population with a short period of follow-up [10]. A direct comparison with the other real-world studies is not possible since they did not report DAPSA response; however, improvements in symptoms were described in 43.5–60.9% of patients [12,13]. Two recent post hoc analyses of the PALACE 1–3 studies and PALACE 4 study reported 52 weeks of cDAPSA low disease activity or remission, respectively, in 39.4% and 44.9% of PsA patients treated with apremilast [7,8]. When comparing these rates to the one reported in our cohort of patients, it appears to be similar, although slightly higher (54.9%). However, it should be pointed out that if we consider only the PLG, the DAPSA low disease activity or remission at 12 months is comparable (42.6%). Interestingly, both in the PLG and the RWG, we observed a similar DAPSA decrease at 6 and 12 months from baseline.
Finally, we analyzed the factors associated with achievement of DAPSA low disease activity or remission at 6 and 12 months. We found that at both time points, higher baseline DAPSA was significantly associated with reduced probability of achieving low disease activity or remission. To the best of our knowledge, similar analysis in a real-world setting has been reported only by the RAPPER study [10]. In that study, female sex was a strong negative predictor of DAPSA response; however, the authors analyzed only a shorter-term endpoint (3 months) and baseline disease activity was not evaluated. On the other hand, similarly to what was observed in our cohort of PsA patients, the post hoc analyses of PALACE 1–3 studies and PALACE 4 study clearly highlighted that the probability of achieving cDAPSA low disease activity or remission at week 52 was greater for patients with moderate versus high disease activity at baseline [7,8].
The main strength of our study is that it assessed a large group of PsA patients treated with apremilast in a real-world setting. On the other hand, our study has some limitations. The main limitation of our study lies in its observational retrospective design, leading to a possible selection bias stemming from including patients with different treatment response odds. Another limitation of this study is the relatively short follow-up period, since we did not analyze further time points in addition to 12 months. Furthermore, given the retrospective nature of the study, we were not able to assess different composite disease activity indexes other than DAPSA, and to evaluate other variables, such as corticosteroid or NSAID use. Finally, it is worth mentioning that in Italy, in addition to the national guidelines of treatment, rheumatologists must also comply with regional provisions, which can be very different from center to center and that could have partially driven the choice of apremilast use.

5. Conclusions

In conclusion, our real-world retrospective multicentric study highlighted that the majority of PsA patients treated with apremilast differs from the ones treated in registration randomized controlled trials. This result confirms the relevance of observational studies in assessing the effectiveness of treatments. Secondly, we reported that DAPSA low disease activity or remission rates of apremilast in a real-world setting of PsA patients were comparable to the ones reported in registration trials. Finally, we confirmed that even the major factor associated with achievement of DAPSA low disease activity or remission was baseline disease activity. Further studies, especially in patients treated for a longer duration with apremilast, should be encouraged in order to confirm our results.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biomedicines11020433/s1, Figure S1: cDAPSA scores at 6 and 12 months. REM remission, LDA low disease activity, MOD moderate disease activity, HIGH high disease activity; Table S1: Univariate and multivariate analysis of variables associated with achivement of cDAPSA low disease activity and remission at 6 months; Table S2: Univariate and multivariate analysis of variables associated with achivement of cDAPSA low disease activity and remission at 12 months.

Author Contributions

A.B., S.P. and A.A. were involved in the conception and design of the study and interpretation of results; A.B. and A.A. performed statistical analysis; all remaining authors were involved in recruitment of patients; all authors contributed to participating in discussion of the final draft and revising it critically for intellectual content; A.B. prepared the first draft of the paper. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was carried out following the Declaration of Helsinki principles and approved by the local Ethics Committees (the main is the Comitato Etico dell’Area Vasta Emilia Nord, protocol code 34,713, approved on 28 August 2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data can be made available from the corresponding author upon request.

Conflicts of Interest

The authors declare no conflict of interest.

References

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Figure 1. DAPSA median values at baseline, 6 months, and 12 months in overall cohort (blue line), PLG (orange line), and RWG (green line).
Figure 1. DAPSA median values at baseline, 6 months, and 12 months in overall cohort (blue line), PLG (orange line), and RWG (green line).
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Figure 2. DAPSA scores at 6 and 12 months. REM remission, LDA low disease activity, MOD moderate disease activity, HIGH high disease activity.
Figure 2. DAPSA scores at 6 and 12 months. REM remission, LDA low disease activity, MOD moderate disease activity, HIGH high disease activity.
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Figure 3. DAPSA scores at 6 and 12 months in PLG (a) and RWG (b). REM remission, LDA low disease activity, MOD moderate disease activity, HIGH high disease activity.
Figure 3. DAPSA scores at 6 and 12 months in PLG (a) and RWG (b). REM remission, LDA low disease activity, MOD moderate disease activity, HIGH high disease activity.
Biomedicines 11 00433 g003
Table 1. Baseline characteristics of PsA patients.
Table 1. Baseline characteristics of PsA patients.
Total CohortPLGRWG
n 29354239
M:F 126:16721:33105:134
Age, median (IQR), yrs 60 (53–68)61 (52.5–67)60 (53–68)
Smokers: yes/former/no * 46:37:20810:9:3536:28:173
BMI, median (IQR), kg/m2 ** 26 (23.7–29.4)25.9 (23.5–29.7)26.1 (23.8–29.3)
PsA duration, median (IQR), months 49 (17–98.25)23 (13–65)53 (20–101.5)
PsA phenotypeOligo-articular
Poli-articular
Enthesitic
Dactylitis
Axial
164
129
144
101
36
26
28
23
18
7
138
101
121
83
29
SJC, median (IQR) 3 (2–4)4 (3–6)2 (2–4)
TJC, median (IQR) 6 (3–10)6 (4–12)6 (3–9)
LEI, median (IQR) 0 (0–2)0 (0–2)0 (0–2)
Dactylitis, median (IQR), fingers 0 (0–1)0 (0–0)0 (0–1)
CRP, median (IQR), mg/dL 2.0 (0.7–4.6)2.5 (1.0–5.2)1.9 (0.6–4.2)
DAPSA, median (IQR) 24.4 (19.4–32)28.7 (23.1–36.9)24 (18.5–31)
Prior csDMARDs use, nMTX
LFN
SSZ
CYA
188
50
76
27
32
8
14
1
156
42
62
26
Prior bDMARDs use, nTNFi
IL17i
IL12/IL23i
Abatacept
81
21
20
2
0
0
0
0
81
21
20
2
Concomitant csDMARDs, n 581048
Concomitant relevant disease, nCancer
HCV/HBV
Latent TB
Other infections
89
16
17
20
0
0
0
3
89
16
17
17
Data missing in 2 (*) and 20 (**) patients. BMI body mass index, PLG PALACE-like group, RWG real-world group, IQR interquartile range, SJC swollen joint count, TJC tender joint count, LEI Leeds enthesitis index, CRP C-reactive protein, DAPSA Disease Activity index for Psoriatic Arthritis.
Table 2. Univariate and multivariate analysis of variables associated with achievement of DAPSA low disease activity and remission at 6 months.
Table 2. Univariate and multivariate analysis of variables associated with achievement of DAPSA low disease activity and remission at 6 months.
Univariate AnalysisMultivariate Analysis
VariableOR95% CIpOR95% CIp
Age0.9880.969–1.0070.943
Smoke1.2260.646–2.3250.533
Sex1.1360.712–1.8130.592
BMI0.9850.934–1.0390.583
Relevant comorbidity1.220.767–1.9410.4
Disease duration10.997–1.0040.87
Baseline DAPSA0.8370.8–0.876<0.00010.8410.804–0.879<0.0001
Concomitant csDMARD0.6520.358–1.1870.161
Number of previous bDMARD0.7180.578–0.8930.00290.7770.604–1.00030.0502
Number of previous csDMARD1.1730.909–1.5120.219
OR odds ratio, CI confidence interval, BMI body mass index, DAPSA Disease Activity index for PSoriatic Arthritis.
Table 3. Univariate and multivariate analysis of variables associated with achievement of DAPSA low disease activity and remission at 12 months.
Table 3. Univariate and multivariate analysis of variables associated with achievement of DAPSA low disease activity and remission at 12 months.
Univariate AnalysisMultivariate Analysis
VariableOR95% CIpOR95% CIp
Age0.9990.98–1.0180.906
Smoke1.1810.621–2.2470.613
Sex1.3090.820–2.0870.259
BMI0.9800.929–1.0330.457
Relevant comorbidity1.2990.818–2.0640.267
Disease duration1.0020.998–1.0060.289
Baseline DAPSA0.9080.881–0.937<0.00010.9110.883–0.939<0.0001
Concomitant csDMARD1.5770.871–2.8560.133
Number of previous bDMARD0.840.691–1.0220.08150.8560.691–1.0610.156
Number of previous csDMARD1.3281.021–1.7260.0341.3421.003–1.7950.048
OR odds ratio, CI confidence interval, BMI body mass index, DAPSA Disease Activity index for Psoriatic Arthritis.
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MDPI and ACS Style

Becciolini, A.; Parisi, S.; Del Medico, P.; Farina, A.; Visalli, E.; Molica Colella, A.B.; Lumetti, F.; Caccavale, R.; Scolieri, P.; Andracco, R.; et al. Predictors of DAPSA Response in Psoriatic Arthritis Patients Treated with Apremilast in a Retrospective Observational Multi-Centric Study. Biomedicines 2023, 11, 433. https://doi.org/10.3390/biomedicines11020433

AMA Style

Becciolini A, Parisi S, Del Medico P, Farina A, Visalli E, Molica Colella AB, Lumetti F, Caccavale R, Scolieri P, Andracco R, et al. Predictors of DAPSA Response in Psoriatic Arthritis Patients Treated with Apremilast in a Retrospective Observational Multi-Centric Study. Biomedicines. 2023; 11(2):433. https://doi.org/10.3390/biomedicines11020433

Chicago/Turabian Style

Becciolini, Andrea, Simone Parisi, Patrizia Del Medico, Antonella Farina, Elisa Visalli, Aldo Biagio Molica Colella, Federica Lumetti, Rosalba Caccavale, Palma Scolieri, Romina Andracco, and et al. 2023. "Predictors of DAPSA Response in Psoriatic Arthritis Patients Treated with Apremilast in a Retrospective Observational Multi-Centric Study" Biomedicines 11, no. 2: 433. https://doi.org/10.3390/biomedicines11020433

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