Can the Dose of Belimumab be Reduced in Patients with Systemic Lupus Erythematosus?

OBJECTIVES

The aims of this study were to investigate the prevalence of dose reduction in patients with SLE treated with belimumab (BEL) in Spain, analyze treatment modalities, and determine impact on control of disease activity.

METHODS

Retrospective longitudinal and multicentre study of SLE patients treated with BEL. Data on disease activity, treatments and outcomes were recorded before and after reduction (6-12 months), and they were compared.

RESULTS

A total of 324 patients were included. The dose was reduced in 29 patients (8.9%). The dosing interval was increased in 9 patients receiving subcutaneous BEL and in 6 patients receiving intravenous BEL. The dose per administration was reduced in 16 patients.Pre-reduction status was remission (2021 DORIS) in 15/26 patients (57.7%) and LLDAS in 23/26 patients (88.5%). After reduction, 2/24 patients (8.3%) and 3/22 patients (13.6%) lost remission at 6 months and 12 months, respectively (not statistically significant [NS]). As for LLDAS, 2/23 patients (8.7%) and 2/21 patients (9.5%) lost their status at 6 and 12 months, respectively (NS). Significantly fewer patients were taking glucocorticoids (GCs) at their 12-month visit, although the median dose of GCs was higher at the 12-month visit (5 [0.62-8.75] vs 2.5 [0-5] at baseline).

CONCLUSION

Doses of BEL can be reduced with no relevant changes in disease activity-at least in the short term-in a significant percentage of patients, and most maintain the reduced dose. However, increased clinical or serologic activity may be observed in some patients. Consequently, tighter post-reduction follow-up is advisable.

Immunoglobulins in systemic sclerosis management. A large multicenter experience

OBJECTIVE

To analyze the effectiveness and safety of intravenous immunoglobulin (IVIG) given in routine care to patients with systemic sclerosis (SSc).

METHODS

A retrospective multicenter observational study was conducted in SSc patients treated with IVIG. We collected data on epidemiological parameters and clinical outcomes. Firstly, we assessed changes in organ manifestations during IVIG treatment. Secondly, we analyzed the frequency of adverse effects. The following parameters were collected from baseline to the last follow-up: the patient's weight, modified Rodnan Skin Score (mRSS), modified manual muscle strength scale (MRC), laboratory test(creatine kinase(CK), hemoglobin and protein levels), The University of California Los Angeles Scleroderma Clinical Trials Consortium gastrointestinal tract 2.0 (UCLA GIT 2.0) questionnaire, pulmonary function tests, and echocardiography.

RESULTS

Data were collected on 78 patients (82% females; 59% with diffuse SSc). Inflammatory idiopathic myopathy was the most frequent concomitant overlap disease (41%). The time since Raynaud's phenomenon and SSc onset were 8.8 ± 18 and 6.2 ± 6.7 years respectively. The most frequent IVIG indication was myositis (38/78), followed by gastrointestinal (27/78) and cutaneous (17/78) involvement. The median number of cycles given were 5. 54, 53 and 9 patients have been treated previously with glucocorticoids, synthetic disease-modifying antirheumatic drugs and biologic therapies respectively. After IVIG use we found significant improvements in muscular involvement (MRC ≥ 3/5 92% IVIG, p = 0.001 and CK levels from 1149 ± 2026 UI to 217 ± 224 UI, p = 0.02), mRSS (15 ± 12.4 to 13 ± 12.5, p = 0.015) and improvement in total score of UCLA GIT 2.0 (p = 0.05). None Anti-RNA polymerase III patients showed an adequate response in gastrointestinal involvement (0/7) in comparison with other antibodies (0 vs. 25, p = 0,039). Cardiorespiratory involvement remained stable. A total of 12 adverse events were reported with only one withdrawn due to serious adverse effect.

CONCLUSIONS

this study suggest that IVIG may improve myositis, gastrointestinal and skin involvement in SSc patients treated in routine care and seems to have a good safety profile.

Impact of previous glucocorticoid therapy on diagnostic accuracy of [18F] FDG PET-CT in giant cell arteritis

OBJECTIVE

To evaluate the impact of prior glucocorticoid (GC) treatment on the diagnostic accuracy of ¹⁸F-FDG PET-CT in giant cell arteritis (GCA).

METHODS

Retrospective study of a consecutive cohort of 85 patients with proven GCA who received high-dose GC before PET-CT.

RESULTS

Thirty-nine patients previously treated with methylprednisolone (MP) boluses, of whom 37% were PET-CT (uptakes grade 3 or 2) positive. The positivity rate was 80% with MP doses of 125 mg, 33% with 250 or 500 mg, and 0% with doses of 1 g.  If we also classify as positive those cases with a grade 1 uptake (with a circumferencial uptake and smooth linear or long segmental pattern, possibly indicative of "apparently inactive" vasculitis), the positivity rate increases to 62% (100%, 50-60%, and 33% for the different MP doses, respectively). In patients with new-onset GCA treated with high-dose oral GC, PET-CT positivity was 54.5% in patients treated for less than two weeks, 38.5% in those treated for 2 to 4 weeks, and 25% in those treated for 4 to 6 weeks (increasing to 91%, 77%, and 50%, respectively, if we include cases with grade 1 uptake and these characteristics). In patients with relapsing/refractory GCA, or who developed GCA having a prior history of PMR, PET-CT positivity reached 54% despite long-term treatment with low-to-moderate doses of GC (68% including cases with a grade 1 uptake).

CONCLUSION

A late ¹⁸F-FDG PET-CT (beyond the first 10 days of treatment) can also be informative in a considerable percentage of cases.

POS0272 INTRAVENOUS VERSUS SUBCUTANEOUS TOCILIZUMAB IN A SERIES OF 471 PATIENTS WITH GIANT CELL ARTERITIS

Background

Tocilizumab (TCZ) has shown efficacy in large-vessel vasculitis, including Giant Cell Arteritis (GCA) (1-3). Clinical trials with TCZ in GCA was performed with intravenous (iv) TCZ in a phase 2 trial (3), and with subcutaneous (sc) TCZ in the phase 3 GiACTA (4). However, in GCA there are no studies comparing IV vs SC TCZ.

Objectives

To compare the efficacy of TCZ in GCA patients according to the route of administration IV-TCZ vs SC-TCZ.

Methods

Multicentre study of 471 patients diagnosed with GCA and treated with TCZ. They were divided into 2 groups according to the route of administration: a) IV, and b) SC. GCA was diagnosed by: a) ACR criteria, and/or b) temporal artery biopsy, and/or c) imaging techniques. Sustained remission was established according to EULAR definitions (5).

Results

We studied 471 patients (mean age, 74±9 years) treated with TCZ, 238 with IV-TCZ and 233 with SC-TCZ (Table 1). The time between diagnosis of GCA and TCZ onset was shorter in the SC TCZ group. Regarding acute phase reactants at the beginning of TCZ, no differences were found between both groups. There were no significant differences in sustained remission or in glucocorticoid-sparing effect of TCZ (Figure 1). Patients on IV TCZ treatment suffered more relevant adverse effects during follow-up.

Table 1.

Main characteristics of GCA patients treated with intravenous and subcutaneous tocilizumab

IV TCZ (n= 238)SC TCZ (n=233)PBaseline characteristics at TCZ onsetAge(years), mean±SD73.3±8.773.7±9.30.63Sex, female/male (% female)175/63 (73)167/66 (72)0.65Time from GCA diagnosis to TCZ onset (months), median [IQR]8 [3-23.5]5 [2-15]0.016ESR, mm 1st hour, median [IQR]30.5 [12.5-53]28 [10-56.5]0.66CRP, mg/dL, median [IQR]1.4 [0.5-2.8]1.4 [0.4-4]0.92Prednisone dose, mg/day, median [IQR]20 [10-40]20 [10-36.2]0.69Safety after TCZ onsetFollow-up, (months), median [IQR]27 [16-44]14 [6-26.7]<0.001Relevant adverse events, n (%)80 (34)46 (19)<0.001Relevant adverse events per 100 patients-year12.715.2NSSerious infections, n (%)44 (18)21 (9)0.44Serious infections per 100 patients-year6.77.2NSMACEs, n (%)/1 (0.4)0 (0)-MACEs per 100 patients-year0.10NSMalignancies, n (%)4 (1.7)1 (0.4)0.20Malignancies per 100 patients-year0.60.3NS

Abbreviations: CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; GCA: giant cell arteritis; IQR: interquartile range; IV: intravenous; MACEs: major adverse cardiovascular events; NS: non significant; SC: subcutaneous; SD: standard deviation

Conclusion

In GCA, TCZ seems equally effective and safe regardless of the route of administration IV or SC.

References

[1]Calderón-Goercke M, et al. Semin Arthritis Rheum. 2019; 49: 126-135. PMID: 30655091

[2]Prieto-Peña D, et al. Ther Adv Musculoskelet Dis. 2021; 13: 1759720X211020917. PMID: 34211589

[3]Villiger PM, et al. Lancet. 2016; 387:1921-1927. PMID: 26952547

[4]Stone JH, et al. N Engl J Med. 2017; 377:317-328. PMID: 28745999

Hellmich B, et al. Ann Rheum Dis. 2020; 79: 19-30. PMID: 31270110

Disclosure of Interests

None declared

POS0806 OPTIMIZATION OF TOCILIZUMAB THERAPY IN GIANT CELL ARTERITIS. A MULTICENTER REAL-LIFE STUDY OF 471 PATIENTS

Background

Tocilizumab (TCZ) has shown to be useful in the treatment of large-vessel vasculitis, including giant cell arteritis (GCA) (1-4). There is general agreement on the initial and the standard maintenance dose of TCZ. However, information on duration and optimization of TCZ in GCA is really scarce.

Objectives

Our aim was to assess the effectiveness and safety of TCZ therapy optimization in an unselected wide series of GCA in real-world clinical practice.

Methods

Multicenter study on 471 patients with GCA who received TCZ therapy. Once complete remission was reached (n=231) TCZ was optimized in 125 patients. We compared patients in whom TCZ was optimized (TCZOPT group) or not (TCZNON-OPT group). Complete remission was defined as normalization of clinical and analytical (CRP and ESR) data. Optimization was done by decreasing the dose and/or prolonging the TCZ dosing interval progressively. We performed a comparison in effectiveness and safety parameters between optimized and non-optimized patients.

Results

We evaluated 231 GCA patients treated with TCZ with complete remission. No demographic or laboratory data differences was observed at TCZ onset between both groups (Table 1). The mean prednisone dose was higher in the TCZNON-OPT group at TCZ onset. The first TCZ optimization was performed after a median [25-75th] follow-up of 12 [6-17] months.

Table 1.

Main general features at TCZ onset of 231 GCA patients with prolonged remission.

OPTIMIZED-TCZ GROUP (n=125)NON-OPTIMIZED TCZ GROUP (n=106)pGENERAL FEATURES Age, years, mean± SD72.7±8.674±8.70.197 Sex, female/male n (% female)91/34 (72.8)74/32 (69.8)0.616 Time from GCA diagnosis to TCZ onset (months), median [IQR]8 [2-21.5]5 [2-21]0.384SYSTEMIC MANIFESTATIONS Fever, n (%)14 (11.2)15 (14.2)0.500 Constitutional syndrome, n (%)54 (43.2)39 (36.8)0.322 PMR, n (%)75 (60)69 (65.1)0.426ISCHEMIC MANIFESTATIONS Visual involvement, n (%)14 (11.2)16 (15.1)0.380 Headache, n (%)66 (52.8)62 (58.5)0.386 Jaw claudication, n (%)24 (19.2)25 (23.6)0.417AORTITIS (large-vessel involvement), n (%)65 (52)42 (39.6)0.060ANALYTICAL FINDINGS ESR, mm/1st hour, mean (SD)39.1±29.337.5±33.50.334 CRP, mg/dL mean (SD)2.6± 3.42.7± 40.305 Hemoglobin, g/dL, mean (SD)13.5±9.612.9±1.50.153GLUCOCORTICOIDS Prednisone dose, mg/d mean (SD)20.3±16.427±17.80.001

Abbreviations: CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; GCA: giant cell arteritis; IQR: interquartile range; IV: intravenous; PMR: polymyalgia rheumatica; SC: subcutaneous; SD: standard deviation; TCZ: tocilizumab.

The median prednisone dose at first TCZ optimization was 2.5 [0-5] mg/day. At the end of follow-up prolonged remission was observed in 78.2% of TCZOPT group compared with 66.7% in the TCZNON-OPT group (p= 0.001) (Figure 1). Seven (5.6%) of the 125 optimized cases relapsed. Serious adverse events were similar in both groups, while serious infections were more frequent in the TCZNON-OPT group (p=0.009).

Conclusion

Once complete remission is reached in GCA patients under TCZ treatment, optimization of biologic may be performed. Based on our experience it could be performed by reducing the dose or by prolonging dosing interval of TCZ. It seems to be an effective and safe practice.

References

[1]Calderón-Goercke M, et al. Semin Arthritis Rheum. 2019; 49: 126-135. PMID: 30655091

[2]Loricera J, et al. Clin Exp Rheumatol. 2016; 34: S44-53. PMID: 27050507

[3]Prieto-Peña D, et al. Ther Adv Musculoskelet Dis. 2021; 13: 1759720X211020917. PMID: 34211589

[4]Loricera J, et al. Int Immunopharmacol. 2015; 27: 213-9. PMID: 25828585

Disclosure of Interests

Carmen Álvarez-Reguera: None declared, Monica Calderón-Goercke: None declared, J. Loricera: None declared, Clara Moriano: None declared, Santos Castañeda: None declared, J. Narváez: None declared, Vicente Aldasoro: None declared, Olga Maiz: None declared, Rafael Melero: None declared, Ignacio Villa-Blanco: None declared, Paloma Vela-Casasempere: None declared, Susana Romero-Yuste: None declared, Jose Luis Callejas-Rubio: None declared, Eugenio de Miguel: None declared, E. Galíndez-Agirregoikoa: None declared, Francisca Sivera: None declared, Carlos Fernández-López: None declared, Carles Galisteo: None declared, Iván Ferraz-Amaro: None declared, Julio Sanchez-Martin: None declared, Lara Sanchez-Bilbao: None declared, Jose Luis Hernández Hernández: None declared, Miguel Á. González-Gay Consultant of: Abbvie, Pfizer, Roche, Sanofi and MSD., Grant/research support from: Abbvie, MSD, Jansen and Roche., Ricardo Blanco Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen, Lilly and MSD, Grant/research support from: Abbvie, MSD and Roche.

AB1367 PET ASSESSMENT OF THE EFFECTIVENESS OF TOCILIZUMAB IN GIANT CELL ARTERITIS. STUDY OF 101 PATIENTS FROM CLINICAL PRACTICE

Background

Positron emission tomography (PET) is one of the tools available for the diagnosis of extracranial large-vessel vasculitis (1-5). Tocilizumab (TCZ) has shown efficacy in large-vessel vasculitis (LVV) including GCA. However, the improvement objectified by imaging techniques after TCZ therapy in extracranial GCA patients is controversial.

Objectives

To assess the effectiveness of TCZ improving the wall vessel inflammation by PET in GCA patients with large-vessel involvement.

Methods

Observational, multicenter study of 101 GCA patients treated with TCZ. GCA was diagnosed according to: a) ACR criteria, and/or b) biopsy of temporal artery, and/or c) presence of signs of vessel wall inflammation by PET, defined by the presence of vascular wall uptake of Fluorodeoxyglucose (FDG). Patients were divided into two subgroups: a) with, and b) without signs of improvement (partial or total) in the follow-up PET.

Results

We studied 101 patients (74 women/27 men; mean age 69.7±9.3 years). Main clinical features of GCA with and without PET improvement are shown in Table 1. The group of patients which experienced PET improvement was older and was receiving higher doses of corticosteroids at TCZ onset.

Table 1.

Main features of 101 GCA patients treated with tocilizumab and with presence of signs of vessel wall inflammation by PET.

With PET improvement (n=88)Without PET improvement (n=13)pBaseline characteristics at TCZ onsetGeneral characteristicsAge(years), mean±SD70.6±9.163.8±9.20.014Sex, female/male (% female)67/21(76)7/6 (54)0.103Time from GCA diagnosis to TCZ onset (months), median [IQR]11 [4-24.2]4 [2-6]0.102Systemic manifestations, n (%)Fever, n (%)5 (6)2 (15)0.225Constitutional syndrome, n (%)36 (41)4 (31)0.466PmR, n (%)53 (60)9 (10)0.761Ischaemic manifestations, n (%)Visual involvement, n (%)2 (2)1 (1)0.342Headache, n (%)30 (34)3 (23)0.538Jaw claudication, n (%)8 (9)0 (0)0.592Laboratory dataESR, mm 1st hour, median [IQR]38.0 ± 26.213.54 ± 9.90.001CRP, mg/dL, median [IQR]1.5 [0.7-2.4]1 [0.5-1.7]0.179Prednisone dose, mg/day, median [IQR]40.3 ± 19.421.9 ± 12.70.001Time from TCZ onset and follow-up PET (months)13.1±8.010.1±5.30.446

Conclusion

TCZ seems to be effective controlling GCA including vascular involvement detected by PET. However, the improvement observed by PET is most often partial, and rarely complete.

Figure 1.

Improvement by PET according to the time of the test.

References

[1]Loricera J, et al. Rev Esp Med Nucl Imagen Mol. 2015; 34: 372-7. PMID: 26272121

[2]Loricera J, et al. Clin Exp Rheumatol. 2015; 33: S19-31. PMID: 25437450

[3]Prieto-Peña D, et al. Ther Adv Musculoskelet Dis. 2021; 13: 1759720X211020917. PMID: 34211589

[4]Martínez-Rodríguez I, et al. Semin Arthritis Rheum. 2018; 47: 530-537. PMID: 28967430

[5]Prieto-Peña D, et al. Semin Arthritis Rheum. 2019; 48: 720-727. PMID: 29903537

Acknowledgements

Tocilizumab in Giant Cell Arteritis Spanish Collaborative Group: Juan C. González Nieto (H. Gregorio Marañón), Juan R. de Dios (H.U. Araba), Esther Fernández (H. Clínico Universitario Virgen de la Arrixaca), Isabel de la Morena (H. Clínico Universitario de Valencia), Patricia Moya (H. Sant Pau), Roser Solans i Laqué (H. Valle de Hebrón), Eva Pérez Pampín (H.U. de Santiago), José L. Andréu (H.U. Puerta de Hierro), Marcelino Revenga (H. Ramón y Cajal), Juan P. Baldivieso Achá (H. U. de La Princesa), Eztizen Labrador (H. San Pedro), Andrea García-Valle (Complejo Asistencial Universitario de Palencia), Adela Gallego (Complejo Hospitalario Universitario de Badajoz), Carlota Iñíguez (H.U. Lucus Augusti), Cristina Hidalgo (Complejo Asistencial Universitario de Salamanca), Noemí Garrido-Puñal (H. Virgen del Rocío), Ruth López-González (Complejo Hospitalario de Zamora), José A. Román-Ivorra (H.U. y Politécnico La Fe), Sara Manrique (H. Regional de Málaga), Paz Collado (H.U. Severo Ochoa), Enrique Raya (H. San Cecilio), Valvanera Pinillos (H. San Pedro), Francisco Navarro (H. General Universitario de Elche), Alejandro Olivé-Marqués (H. Trías i Pujol), Francisco J. Toyos (H.U. Virgen Macarena), María L. Marena Rojas (H. La Mancha Centro), Antoni Juan Más (H.U. Son Llàtzer), Beatriz Arca (H.U. San Agustín), Carmen Ordás-Calvo (H. Cabueñes), María D. Boquet (H. Arnau de Vilanova), Noelia Álvarez-Rivas (H.U. Lucus Augusti), María L. Velloso-Feijoo (H.U. de Valme), Cristina Campos (H. General Universitario de Valencia), Íñigo Rúa-Figueroa (H. Doctor Negrín), Antonio García (H. Virgen de las Nieves), Carlos Vázquez (H. Miguel Servet), Pau Lluch (H. Mateu Orfila), Carmen Torres (Complejo Asistencial de Ávila), Cristina Luna (H.U. Nuestra Señora de la Candelaria), Elena Becerra (H.U. de Torrevieja), Nagore Fernández-Llanio (H. Arnáu de Vilanova), Arantxa Conesa (H.U. de Castellón), Eva Salgado (Complejo Hospitalario Universitario de Ourense).

Disclosure of Interests

Julio Sanchez-Martin: None declared, Javier Loricera: None declared, Santos Castañeda: None declared, Clara Moriano: None declared, J. Narváez: None declared, Vicente Aldasoro: None declared, Olga Maiz: None declared, Rafael Melero: None declared, Ignacio Villa-Blanco: None declared, Paloma Vela-Casasempere: None declared, Susana Romero-Yuste: None declared, Jose Luis Callejas-Rubio: None declared, Eugenio de Miguel: None declared, E. Galíndez-Agirregoikoa: None declared, Francisca Sivera: None declared, Carlos Fernández-López: None declared, Carles Galisteo: None declared, Iván Ferraz-Amaro: None declared, Lara Sanchez-Bilbao: None declared, Monica Calderón-Goercke: None declared, Jose Luis Hernández Hernández: None declared, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene and MSD, Grant/research support from: Abbvie, MSD, Jansen and Roche, Ricardo Blanco Speakers bureau: Abbvie, Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma and MSD, Grant/research support from: Abbvie, MSD and Roche

AB1343 ON THE DEVELOPMENT OF NEW DISEASE ACTIVITY SCORES FOR REMOTE ASSESSMENT OF PATIENT WITH RHEUMATOID ARTHRITIS USING THERMOGRAPHY AND MACHINE LEARNING

Background

Disease activity scores are used in the follow-up of patients with rheumatoid arthritis (RA). These scores include variables obtained through physical examination, such as the tender and swollen joint count. In telematic consultations it is not possible to determine these variables. Thermography is a safe and fast technique that measures heat through infrared imaging. Inflammation of the joints causes an increase in temperature and could therefore be detected by thermography. Machine learning methods are highly accurate in analyzing medical images, and could be used to analyze thermal images automatically. Thermography of hands, patient global health (PGH) and acute phase reactants could be combined to develop new activity scores that facilitate remote assessment of RA patients.

Objectives

To develop new disease activity scores based on the machine learning analysis of thermal images of the hands, PGH and acute phase reactants.

Methods

Multicenter observational study conducted in the rheumatology and radiology service of two hospitals. Patients with RA, psoriatic arthritis, undifferentiated arthritis and arthritis of hands secondary to other diseases that attended the follow-up visits were recruited. Companions of patients and healthcare professionals were also recruited as healthy subjects. In all cases, a thermographic image of the hands was taken using a Flir One Pro or a Thermal Expert TE-Q1 camera connected to a smartphone. Ultrasound (US) of both hands was performed. The degree of synovial hypertrophy (SH) and power doppler (PD) was assessed for each joint (score from 0 to 3). Machine learning was used to quantify joint inflammation from the thermal images using US (SH+PD) as ground truth. This score has been named ThermoJIS. RA patients whose thermal image was taken with the Thermal Expert TE-Q1 camera were used to evaluate the performance (test dataset). The other participants were used as training dataset. The PGH, C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were also assessed in the test dataset. ThermoDAS (ThermoJIS + PGH), ThermoDAS-ESR (ThermoJIS + PGH + ESR) and ThermoDAS-CRP (ThermoJIS + PGH + CRP) activity scores were developed using a linear regression. The Spearman’s correlation coefficient of ThermoJIS, ThermoDAS, ThermoDAS-ESR and ThermoDAS-CRP vs. SH, PD, PGH, ESR and CRP were used to characterize the new developed disease activity scores. The study was approved by the Clinical Ethics and Research Committee of both centers.

Results

The total number of recruited subjects were 616 (475 for the training and 141 for the testing dataset). The correlations obtained between the different activity scores (ThermoJIS, ThermoDAS, ThermoDAS-ESR and ThermoDAS-CRP) vs. SH, PD, PGH, ESR and CRP are shown in Table 1. All correlations are statistically significant.

Table 1.

Spearman’s correlations of the developed scores vs synovial hypertrophy (SH); vs power doppler (PD); vs patient global health (PGH); vs erythrocyte sedimentation rate (ESR) and vs C-reactive protein (CRP).

SHPDPGHESRCRPThermoJIS0.420.430.180.160.12ThermoDAS0.500.530.870.160.19ThermoDAS-ESR0.540.530.790.490.33ThermoDAS-CRP0.600.600.770.490.54

Conclusion

ThermoJIS shows moderate correlation with US but weak correlation with PGH and acute phase reactants, suggesting that ThermoJIS is non-redundant with symptoms and laboratory assessment. Adding PGH and acute phase reactants to ThermoJIS improves all correlations, including correlation with US. These thermographic scores do not require a physical examination, opening an opportunity to facilitate remote consultations in RA patients.

References

[1]Lynch CJ et al. New machine-learning technologies for computer-aided diagnosis. Nat Med. 2018 Sep;24(9):1304-1305.

[2]Tan YK et al. Thermography in rheumatoid arthritis: a comparison with ultrasonography and clinical joint assessment. Clin Radiol. 2020 Dec;75(12): 963.

Disclosure of Interests

None declared

POS0796 TREATMENT, ADVERSE EVENTS AND FOLLOW UP IN PATIENTS WITH GIANT CELL ARTERITIS IN THE ARTESER MULTICENTER STUDY

Background

Glucocorticoids (GC) are the mainstay therapy in Giant Cell Arteritis (GCA), initially at high doses (40-60 mg/day) followed by gradual glucocorticoid tapering. This treatment, especially in older patients, is associated with numerous adverse effects (AE). In addition, there are frequent relapses. Therefore, conventional synthetic immunosuppressants such as methotrexate (MTX), leflunomide, azathioprine, cyclophosphamide or mycophenolate, have been used with controversial results. Studies with biological immunosuppressants, such as TNFi have been ineffective; in contrast, tocilizumab (TCZ) has obtained positive results and was approved for the treatment of GCA.

Objectives

In the ARTESER study we describe a) treatment with GC, synthetic or biological immunosuppressants; b) AE of CG; and c) evolution.

Methods

ARTESER is a retrospective observational study sponsored by the Spanish Society of Rheumatology. 26 Spanish centers participated and all new patients diagnosed with GCA from June 1, 2013 to March 29, 2019 were included. Data on GC and immunosuppressants were collected at the beginning and during the follow-up of GCA patients. For the calculation of the cumulative dose of GC, an application was developed that, by including the periods of time, dose and type of GC received during follow-up, performs the automatic calculation in mg of prednisone.

Results

Of the 1675 patients included, GC treatment was adequately recorded in 1650 patients (Table 1). All received oral treatment, being prednisone the most frequently drug used (N=1602, 97.09%). In addition, 426 (25.82%) patients received at least one iv pulse of methylprednisolone, being the 1000 mg regimen the most frequent (n=217; 50.9%). The total mean duration of GC treatment was 22.65 months. The mean cumulative dose per patient at the end of follow-up was 8514.98 mg of prednisone.

Table 1.

Corticosteroid treatment and immunosuppressive treatment

Patients taking oral corticosteroid1650 Prednisone, n (%)1602 (97.09) Methylprednisolone, n (%)164 (9.94) Deflazacort, n (%)64 (3.88)Patients receiving intravenous corticosteroid, n (%)426 (25.82)Mean duration of steroid treatment, mean (SD)22.65 (17.36)Mean cumulative dose at the end of follow-up per patient, mg of prednisone, mean (SD)8514.98 (6570.21)Methotrexate at diagnosis*, n (%)165 (9.9)Leflunomide at diagnosis*, n (%)2 (0.1)Azathioprine at diagnosis*, n (%)3 (0.2)Cyclophosphamide at diagnosis*, n (%)7 (0.4)Mycophenolate at diagnosis*, n (%)1 (0.1)Tocilizumab at diagnosis*, n (%)22 (1.3)Methotrexate during follow-up, n (%)532 (31.8)Leflunomide during follow-up, n (%)19 (1.2)Azathioprine during follow-up, n (%)26 (1.5)Cyclophosphamide during follow-up, n (%)10 (0.6)Mycophenolate during follow-up, n (%)10 (0.6)Tocilizumab during follow-up, n (%)153 (9.1)

The most widely used immunosuppressant was MTX both at diagnosis (n=165; 9.9%) and during follow-up (n=532; 31.8%), followed by TCZ, at diagnosis (22; 1.3%) and at follow-up (153; 9.1%).

AE with GC were described in 393 patients (23.8%), highlighting serious infections (n=67; 10.03%) followed by diabetes mellitus (n=63; 9.43%), steroid myopathy (n=53; 7.9%), vertebral fractures (n=47; 7.04%), non-vertebral fractures (n=36; 5.39%), heart failure (n=36; 5.39%), arterial hypertension (n=34; 5.09%) and neuropsychiatric alterations (n=27; 4.04%).

During the follow-up, 334 (19.9%) patients had relapses, 532 (31.8%) were hospitalized on some occasion, and 142 patients (8.48%) died. The main cause of death were infections (n=44; 30.99%), neoplasms (n=23; 16.2%), cardiovascular (n=15; 10.56%), and cerebrovascular (n=10; 7.04%).

Conclusion

The main treatment for GCA was oral GC, which were required for almost two years on average, in a quarter of patients associated with IV pulses. The cumulative steroid dose was high as well as the side effects. MTX was the most widely used immunosuppressant and TCZ was prescribed in 10%. Relapses and admissions at the hospital were relatively frequent.

Acknowledgements

This study has been funded by ROCHE Farma. The funder has not participated in the design, analysis, or interpretation of the results

Disclosure of Interests

None declared

POS0907 ASSOCIATION BETWEEN DISEASE ACTIVITY AND DAMAGE IN IDIOPATHIC INFLAMMATORY MYOPATHIES. DIFFERENCES BETWEEN INCIDENT AND PREVALENT CASES

Background

There are different measures and tools validated to evaluate disease activity and damage in idiopathic inflammatory myopathies (IIM). Disease activity and damage in patients with early diagnosis is not still well defined.

Objectives

To analyze disease activity outcomes and their association with damage in IIM differentiating between incident and prevalent cases.

Methods

Multicenter cross-sectional study of a cohort of patients included in the Spanish Registry of patients with IIM (Myo-Spain)(1). Patients were classified as incident cohort (time between diagnosis and study initiation ≤ 12 months) or prevalent cohort (> 12 months). Activity and damage data were collected at the initial visit. Differences between both groups were tested by Chi-square, Student’s t and Mann-Whitney tests. Spearman’s correlation coefficients (Rho) were used to analyze correlations between disease activity and damage measures (weak ≥ 0.2 - <0.3; moderate ≥ 0.3 <0.7; strong ≥ 0.7).

Results

We included 139 (67.63% women) and 417 patients (74.34% women) with a mean age at diagnosis of 54 and 48 years in the incident and prevalent cohort, respectively. Patients in the incident cohort had significantly higher disease activity measures: myositis disease activity assessment visual analogue scale (MYOACT) total, extramuscular activity of MYOACT, physician global activity (PhGA), patient global activity (PGA), manual muscle testing (MMT)8, CK, and HAQ (p < 0.001).The organ systems with the bigger differences between the incident and the prevalent cohort were skin and constitutional (p<0.001). No significant differences were found respect to physician global damage (PhGD), patient global damage (PGD) and myositis damage index (MDI), between both cohorts (p > 0.2). Correlations between disease activity and damage measures are showed in the Table 1. The main differences found between both cohorts were the correlations of PhGA, CK, PGD and MDI with other measures of disease activity.

Table 1.

Correlations between disease activity and damage measures

Incident cohortPrevalent cohortMYOACT totalExtramuscular activity of MYOACTPhGAMMT- 8MYOACT totalExtramuscular activity of MYOACTPhGAMMT- 8Extramuscular activity of MYOACTRho0.7610.673-0.1660.77710.764-0.214P-value<0.001<0.001<0.0010.065<0.001<0.001<0.001<0.001PhGARho0.8230.6731-0.50.7790.7641-0.301P-value<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001PGARho0.6670.5440.679-0.4340.5850.5280.623-0.345P-value<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001MMT-8Rho-0.471-0.166-0.51-0.383-0.214-0.3011P-value<0.0010.065<0.001<0.001<0.001<0.001<0.001<0.001CKRho0.221-0.0860.234-0.4380.07-0.0240.112-0.11P-value0.0140.3510.008<0.0010.1780.6480.0290.034HAQRho0.4860.3380.528-0.490.3860.2480.384-0.505P-value<0.001<0.001<0.001<0.001<0.001<0.001<0.001<0.001PhGDRho0.3670.310.448-0.3050.5730.4920.598-0.334P-value<0.0010.001<0.0010.001<0.001<0.001<0.001<0.001PGDRho0.2930.1630.354-0.2950.4680.4080.476-0.347P-value0.0030.102<0.0010.002<0.001<0.001<0.001<0.001MDIRho0.3980.2790.388-0.2320.5790.4770.545-0.343P-value<0.0010.006<0.0010.026<0.001<0.001<0.001<0.001

Myositis disease activity assessment visual analogue scale (MYOACT), physician global activity (PhGA), patient globalactivity (PGA), manual muscle testing (MMT)8, health assessment questionnaire (HAQ), physician global damage(PhGD), patient global damage (PGD), myositis damage index (MDI).

Conclusion

Incident cases had higher disease activity. In those in whom damage was detected, no differences were found in damage measures with prevalent cases. The correlation between the different measures of activity and damage was slightly better in prevalent patients.

References

[1]Cobo-Ibáñez T, et al. Myo-Spain: Spanish Registry of patients with idiopathic inflammatory myopathy. Methodology. Reumatol Clin (Engl Ed). 2021 Aug 13:S2173-5743(21)00156-8.

Acknowledgements

To Nuria Montero for her contribution to data monitoring, and Francisco Javier Prado-Galbarro for his contribution to data analysis.

Disclosure of Interests

None declared

POS0795 EPIDEMIOLOGY, DIAGNOSIS AND CLINICAL CHARACTERISTICS OF GIANT CELL ARTERITIS IN PATIENTS INCLUDED IN THE ARTESER MULTICENTER STUDY

Background

Epidemiological information on Giant Cell Arteritis (GCA) comes mainly from the Scandinavian countries of northern Europe, which show a higher incidence than the countries of southern Europe. GCA clinical manifestations can be divided into cranial, extracranial, and general syndrome.

Objectives

In a large series of GCA from Spain, we studied a) the incidence of GCA, b) clinical manifestations, and c) comorbidities at the time of disease diagnosis.

Methods

ARTESER is a retrospective epidemiological observational study of GCA promoted by the Spanish Society of Rheumatology in which 26 hospitals participate. The inclusion criteria were: all new patients diagnosed with GCA by a) ACR criteria, b) positive diagnostic test (temporal artery biopsy, temporal artery ultrasound or other relevant imaging techniques) and/or c) investigator’s clinical judgment. The patient recruitment period ranged from June 1, 2013 to March 29, 2019. The overall incidence of GCA per 100,000 people ≥50 years for the whole period and the mean annual incidence were evaluated. The clinical variables were collected by reviewing the patient’s medical history.

Results

1675 patients were included. The average annual incidence rate was 7.42 (95% CI: 6.57-8.27). All the cases were older than 50 years, and the age group with the highest annual incidence was that of 80 to 84 years, where it reached a value of 22.63 (95% CI: 22.04 -23.22). The mean annual incidence is higher in women than in men 10.07 (95% CI: 8.74-11.55) vs 4.81 (95% CI 3.84-5.93) (Table 1).

Table 1.

General characteristics, comorbidities and clinical manifestations

Epidemiologic, demographic and diagnosisMenWomenTotalGender, n (%)497 (29.7)1178 (70.3)1675Incidence annual rate (95% CI)4.81 (3.84-5.93)10.07 (8.74-11.55)7.42 (6.57-8.27)Age at diagnosis, years, mean (SD)76.9 (8.3)76.9 (8.0)76.9 (8.1)Diagnosis only by ACR Criteria89 (17.91)266 (22.58)355 (21.19)Diagnosis only with objective tests73 (14.69)140 (11.88)213 (12.72)Diagnosis ACR criteria + diagnosis objective tests311 (62.58)734 (62.31)1045 (62.39)Diagnosis by clinical judgment24 (4.8)38 (3.2)62 (3.7)Comorbidities at diagnosisArterial hypertension, n (%)330 (66.8)749 (63.7)1079 (64.6)Dyslipidemia, n (%)238 (48.3)563 (47.9)801 (48.0)Cranial clinical manifestationsNew-onset headache, n (%)382 (76.9)955 (81.1)1337 (79.9)Visual Clinic, n (%)194 (39.0)411 (34.9)605 (36.1)Extracranial manifestations and general syndromePolymyalgia rheumatica, n (%)178 (35.8)521 (44.3)699 (41.8)Asthenia, n (%)239 (48.1)634 (53.9)873 (52.2)Analysis at diagnosisErythrocyte sedimentation rate mm/h, mean (SD)72.3 (34.7)77.4 (33.0)75.9 (33.6)

The principal clinical characteristics of the population is shown in Table 1, the mean age at diagnosis was 76.9±8.1 years, 1178 (70.3%) were women. 1045 patients (62.39%) had ACR criteria and some positive objective test, 355 patients (21.9%) presented only ACR criteria and 213 (12.72%) only had a positive diagnostic test; 62 (3.7%) of the patients underwent diagnosis based on clinical judgment. The more frequent comorbidity was arterial hypertension (n=1079; 64.6%), followed by dyslipidemia (n=801, 48%). The predominant cranial manifestation was headache (n= 1337; 79.9%) and 605 patients experienced visual symptoms (36.1%). Polymyalgia rheumatica (n=699; 41.8%) and asthenia (n=837; 52.2%) were the most frequent extracranial and general syndrome manifestation, respectively. Regarding laboratory parameters, the most characteristic data was the increase of ESR (75.9±33.6 mm/1st h).

Conclusion

The mean annual incidence of GCA in Spain, 7.42 (95% CI: 6.57-8.27), is lower than that of the Scandinavian countries. It is higher in people older than 80 years. More than 60% of the patients met the ACR criteria and had a positive diagnostic test. Cranial manifestations constituted the most clinical features. The most frequent clinical manifestations are cranial. Up to a third of patients had visual manifestations.

Acknowledgements

This study has been funded by ROCHE Farma. The funder has not participated in the design, analysis, or interpretation of the results

Disclosure of Interests

None declared

AB1366 ULTRASOUND ASSESSMENT OF THE EFFECTIVENESS OF TOCILIZUMAB IN GIANT CELL ARTERITIS. STUDY OF 26 PATIENTS FROM CLINICAL PRACTICE

Background

Large-vessel vasculitis are characterized by the wall inflammation of the involved vessels, which can be detected by imaging tools (1-3). Ultrasound (US) is one of the most commonly used tools for the diagnosis of giant cell arteritis (GCA), especially in patients with a cranial phenotype. Tocilizumab (TCZ) has shown efficacy in large-vessel vasculitis (LVV) including GCA (4,5). However, the improvement objectified by imaging techniques such as US after TCZ therapy is poorly documented.

Objectives

To assess the effectiveness of TCZ improving the wall vessel inflammation by US.

Methods

Observational, multicenter study of 26 GCA patients treated with TCZ. GCA was diagnosed according to: a) ACR criteria, and/or b) biopsy of temporal artery, and/or c) presence of signs of vessel wall inflammation by US, defined by the presence of halo sign. In all the cases a baseline US and in the follow-up was mandatory.

Patients were divided into two subgroups: a) with, and b) without signs of improvement (partial or total) in the follow-up US.

Results

We studied 26 patients (19 women/7 men; mean age, 76.3±9.7 years). Main clinical features of GCA with and without US improvement are shown in Table 1. We found no significant differences in any of the variables studied between the two groups.

Table 1.

Main features of 27 GCA patients treated with tocilizumab followed by Ultrasound (US).

With US improvement (n=21)Without US improvement (n=5)pBaseline characteristics at TCZ onsetGeneral characteristicsAge(years), mean±SD77.3±8.972.2±12.90.270Sex, female/male (% female)17/4 (80,95)2/3 (40)0.101Time from GCA diagnosis to TCZ onset (months), median [IQR]6 [3-9]3 [1-6]0.452Systemic manifestations, n (%)Fever, n (%)1/21 (4.76)1/5 (20)0.354Constitutional syndrome, n (%)10/21 (47.62)2/5 (40)0.999PmR, n (%)11/21 (52.38)1/5 (20)0.330Ischaemic manifestations, n (%)Visual involvement, n (%)1/21 (4.76)1/5 (20)0.354Headache, n (%)15/21 (71.43)5/5 (100)0.298Jaw claudication, n (%)4/15 (26.67)¼ (25)0.999Laboratory dataESR, mm 1st hour, median [IQR]33 [22-49]55 [54-80]0.216CRP, mg/dL, median [IQR]1.5 [0.7-6.7]3.8 [1-4.2]0.948Prednisone dose, mg/day, median [IQR]13.7 [10-30]30 [12.5-30]0.505Time from TCZ onset and follow-up US (months)3.9±3.63.1±2.10.456

After TCZ onset, 21 of 26 patients (80.7%) showed US signs of improvement (12 complete, 9 partial). In 4 out of 5 patients in whom there was no improvement in US findings, clinical improvement was observed at first month after starting TCZ.

Conclusion

TCZ seems to be effective controlling GCA including vascular involvement detected by US. This improvement can be seen by follow-up US, especially when performed at least 3 months after TCZ onset.

References

[1]Loricera J, et al. Rev Esp Med Nucl Imagen Mol. 2015; 34: 372-7. PMID: 26272121

[2]Loricera J, et al. Clin Exp Rheumatol. 2015; 33: S19-31. PMID: 25437450

[3]Prieto-Peña D, et al. Ther Adv Musculoskelet Dis. 2021; 13: 1759720X211020917. PMID: 34211589

[4]Martínez-Rodríguez I, et al. Semin Arthritis Rheum. 2018; 47: 530-537. PMID: 28967430

[5]Prieto-Peña D, et al. Semin Arthritis Rheum. 2019; 48: 720-727. PMID: 29903537

Acknowledgements

Tocilizumab in Giant Cell Arteritis Spanish Collaborative Group: Juan C. González Nieto (H. Gregorio Marañón), Juan R. de Dios (H.U. Araba), Esther Fernández (H. Clínico Universitario Virgen de la Arrixaca), Isabel de la Morena (H. Clínico Universitario de Valencia), Patricia Moya (H. Sant Pau), Roser Solans i Laqué (H. Valle de Hebrón), Eva Pérez Pampín (H.U. de Santiago), José L. Andréu (H.U. Puerta de Hierro), Marcelino Revenga (H. Ramón y Cajal), Juan P. Baldivieso Achá (H. U. de La Princesa), Eztizen Labrador (H. San Pedro), Andrea García-Valle (Complejo Asistencial Universitario de Palencia), Adela Gallego (Complejo Hospitalario Universitario de Badajoz), Carlota Iñíguez (H.U. Lucus Augusti), Cristina Hidalgo (Complejo Asistencial Universitario de Salamanca), Noemí Garrido-Puñal (H. Virgen del Rocío), Ruth López-González (Complejo Hospitalario de Zamora), José A. Román-Ivorra (H.U. y Politécnico La Fe), Sara Manrique (H. Regional de Málaga), Paz Collado (H.U. Severo Ochoa), Enrique Raya (H. San Cecilio), Valvanera Pinillos (H. San Pedro), Francisco Navarro (H. General Universitario de Elche), Alejandro Olivé-Marqués (H. Trías i Pujol), Francisco J. Toyos (H.U. Virgen Macarena), María L. Marena Rojas (H. La Mancha Centro), Antoni Juan Más (H.U. Son Llàtzer), Beatriz Arca (H.U. San Agustín), Carmen Ordás-Calvo (H. Cabueñes), María D. Boquet (H. Arnau de Vilanova), Noelia Álvarez-Rivas (H.U. Lucus Augusti), María L. Velloso-Feijoo (H.U. de Valme), Cristina Campos (H. General Universitario de Valencia), Íñigo Rúa-Figueroa (H. Doctor Negrín), Antonio García (H. Virgen de las Nieves), Carlos Vázquez (H. Miguel Servet), Pau Lluch (H. Mateu Orfila), Carmen Torres (Complejo Asistencial de Ávila), Cristina Luna (H.U. Nuestra Señora de la Candelaria), Elena Becerra (H.U. de Torrevieja), Nagore Fernández-Llanio (H. Arnáu de Vilanova), Arantxa Conesa (H.U. de Castellón), Eva Salgado (Complejo Hospitalario Universitario de Ourense).

Disclosure of Interests

Julio Sanchez-Martin: None declared, Javier Loricera: None declared, Lara Sanchez-Bilbao: None declared, Eugenio de Miguel: None declared, Rafael Melero: None declared, E. Galíndez-Agirregoikoa: None declared, J. Narváez: None declared, Carles Galisteo: None declared, Juan Carlos Nieto González: None declared, Patricia Moya: None declared, Eztizen Labrador-Sánchez: None declared, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene and MSD, Grant/research support from: Abbvie, MSD, Jansen and Roche, Ricardo Blanco Speakers bureau: Abbvie, Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma and MSD, Grant/research support from: Abbvie, MSD and Roche

POS0802 INVOLVEMENT OF THE AORTA AND/OR ITS MAIN BRANCHES IN GIANT CELL ARTERITIS. TREATMENT WITH TOCILIZUMAB

Background

Large vessel involvement in Giant Cell Arteritis (GCA), especially the aorta and/or its main branches, is frequent. Tocilizumab (TCZ) has shown efficacy and safety in GCA and other large-vessel vasculitis (1-4).

Objectives

To assess the efficacy and safety of TCZ in GCA patients with involvement of the aorta and/or its main branches.

Methods

Multicenter observational study of 196 patients with GCA and involvement of the aorta and/or its major branches treated with TCZ. GCA was diagnosed by: a) ACR criteria, and/or b) temporal artery biopsy, and/or c) imaging techniques. The presence of aortitis was performed by imaging techniques, mainly PET, and A-MRI.

Maintained remission was considered according to EULAR definitions (5).

Results

The main features of the 196 patients are showed in Table 1. Polymyalgia rheumatica, constitutional syndrome and headache were the most frequent clinical manifestations at TCZ onset. At 6 months after starting TCZ, 20% of the patients reached a sustained remission, that was progressively increasing. (Figure 1). A corticosteroid-sparing effect was observed from month 1 of TCZ onset (Figure 1). Relevant adverse events were observed in 12 per 100 patients-year, documenting serious infections in 4.8 per 100 patients-year (Table 1).

Table 1.

Main features of 196 GCA patients with involvement of the aorta and/or its main branches treated with TCZ.

GCA (n=196)Features at TCZ onsetAge(years), mean±SD71.3±9.5Sex, female/male (% female)148/48 (75)Time from GCA diagnosis to TCZ onset (months), median [IQR]7 [2-18.25]Systemic manifestations, n (%)Fever, n (%)24 (12)Constitutional syndrome, n (%)87 (44)PmR, n (%)131 (67)Ischaemic manifestations, n (%)Visual involvement, n (%)16 (8)Headache, n (%)74 (38)Jaw claudication, n (%)27 (14)Laboratory dataESR, mm 1st hour, median [IQR]32 [14-54]CRP, mg/dL, median [IQR]1.5 [0.6-3.2]Prednisone dose, mg/day, median [IQR]15 [10-30]Safety after TCZ onsetRelevant adverse events, per 100 patients-year12Serious infections, per 100 patients-year4.8Figure 1.

A) Sustained remission, and B) median prednisone dose required in GCA patients with aortitis treated with tocilizumab

Conclusion

TCZ seems to be effective and relatively safe in GCA patients with involvement of the aorta and/or its main branches.

References

[1]Calderón-Goercke M, et al. Semin Arthritis Rheum. 2019; 49: 126-135. PMID: 30655091

[2]Loricera J, et al. Clin Exp Rheumatol. 2016; 34: S44-53. PMID: 27050507

[3]Loricera J, et al. Clin Exp Rheumatol. 2015; 33: S19-31. PMID: 25437450

[4]Prieto-Peña D, et al. Ther Adv Musculoskelet Dis. 2021; 13: 1759720X211020917. PMID: 34211589

[5]Hellmich B, et al. Ann Rheum Dis. 2020; 79: 19-30. PMID: 31270110

Disclosure of Interests

Lara Sanchez-Bilbao: None declared, Javier Loricera Speakers bureau: from Roche, Novartis, UCB Pharma, Celgene, and Grünenthal., Rafael Melero: None declared, Santos Castañeda Speakers bureau: UAM-Roche, EPID- Future chair, Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain., Clara Moriano: None declared, Iván Ferraz-Amaro: None declared, J. Narváez: None declared, Vicente Aldasoro: None declared, Olga Maiz: None declared, Ignacio Villa-Blanco: None declared, Paloma Vela-Casasempere: None declared, Susana Romero-Yuste: None declared, Jose Luis Callejas-Rubio: None declared, Eugenio de Miguel: None declared, E. Galíndez-Agirregoikoa: None declared, Francisca Sivera: None declared, Carlos Fernández-López: None declared, Carles Galisteo: None declared, Julio Sanchez-Martin: None declared, Monica Calderón-Goercke: None declared, J. Luis Hernández: None declared, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene, and MSD., Grant/research support from: AbbVie, MSD, Jansen, and Roche,, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Lilly, Janssen, and MSD., Grant/research support from: Abbvie, MSD, and Roche

AB0146 BAFF, APRIL y BAFFR: DIFFERENTIAL BIOMARKERS BETWEEN IgA VASCULITIS AND IgA NEPHROPATHY?

Background

IgA vasculitis (IgAV) and IgA nephropathy (IgAN) are inflammatory conditions [1, 2], that share pathogenic mechanisms [1], in which B-lymphocytes are described as key cells implicated in these processes. BAFF, APRIL and BAFF-R are cytokines implicated in the development of B-lymphocytes [3, 4] and in autoimmune processes [5, 6]. In this regard, an influence of BAFF, APRIL and BAFFR polymorphisms was observed on several immune-mediated conditions, being BAFF GCTGT>A a shared insertion-deletion variant for inflammatory conditions [7, 8].

Objectives

To determine whether BAFF, APRIL and BAFFR could be used as differential biomarkers between IgAV and IgAN.

Methods

BAFF rs374039502 (which colocalizes with BAFF GCTGT>A), two tag variants within APRIL (rs11552708 and rs6608) and two tag variants within BAFFR (rs7290134 and rs77874543) were genotyped in 394 Caucasian IgAV patients, 95 patients with IgAN and 832 matched healthy controls.

Results

Similar genotype and allele frequencies were observed in the whole cohort of patients with IgAV when compared to those with IgAN when BAFF, APRIL and BAFFR variants were analyzed independently (Table 1). In accordance with that, no BAFF, APRIL and BAFFR genotype or allele differences were detected between IgAV patients who developed nephritis and patients with IgAN (Table 1). Additionally, no statistically significant differences were observed between the whole cohort of patients with IgAV and healthy controls as well as between patients with IgAN and healthy controls when each when BAFF, APRIL and BAFFR genetic variant was also analyzed independently (Table 1). Similar results were disclosed when haplotype frequencies of APRIL and BAFFR were compared between the different comparative groups above mentioned (data not shown).

Table 1.

Genotype and allele frequencies of BAFF, APRIL and BAFFR in the whole cohort of patients with IgAV, patients with IgAV who developed nephritis, patients with IgAN and healthy controls.

PolymorphismChangeData setGenotypes, % (n)Alleles, % (n)1/21/11/22/212BAFF rs374039502T/AIgAV92.1 (363)7.9 (31)0.096.1 (757)3.9 (31)IgAV with nephritis90.1 (128)9.9 (14)0.095.1 (270)4.9 (14)IgAN91.6 (87)8.4 (8)0.095.8 (182)4.2 (8)Controls91.8 (764)7.8 (65)0.4 (3)95.7 (1593)4.3 (71)APRIL rs11552708G/AIgAV78.7 (310)20.1 (79)1.3 (5)88.7 (699)11.3 (89)IgAV with nephritis81.1 (116)18.9 (27)0.090.6 (259)9.4 (27)IgAN75.8 (72)23.2 (22)1.1 (1)87.4 (166)12.6 (24)Controls78.7 (655)19.7 (164)1.6 (13)88.6 (1474)11.4 (190)APRIL rs6608C/TIgAV72.6 (286)25.4 (100)2.0 (8)85.3 (672)14.7 (116)IgAV with nephritis75.5 (108)23.1 (33)1.4 (2)87.1 (249)12.9 (37)IgAN65.3 (62)30.5 (29)4.2 (4)80.5 (153)19.5 (37)Controls71.0 (591)26.6 (221)2.4 (20)84.3 (1403)15.7 (261)BAFFR rs7290134A/GIgAV58.9 (232)35.5 (140)5.6 (22)76.6 (604)23.4 (184)IgAV with nephritis60.1 (86)32.2 (46)7.7 (11)76.2 (218)23.8 (68)IgAN57.9 (55)38.9 (37)3.2 (3)77.4 (147)22.6 (43)Controls58.7 (488)35.1 (292)6.3 (52)76.2 (1268)23.8 (396)BAFFR rs77874543G/CIgAV83.2 (328)15.5 (61)1.3 (5)91.0 (717)9.0 (71)IgAV with nephritis83.1 (118)16.9 (24)0.091.5 (260)8.5 (24)IgAN86.3 (82)13.7 (13)0.093.2 (167)6.8 (13)Controls83.7 (696)16.0 (133)0.4 (3)91.6 (1525)8.4 (139)

IgAV: IgA vasculitis; IgAN: IgA nephropathy.

Conclusion

Our results reveal a similar BAFF, APRIL and BAFFR genetic distribution in IgAV and IgAN, suggesting that these genes could not be used as differential biomarkers between these pathologies.

References

[1]N Engl J Med 2013;368:2402-14;

[2]Am J Kidney Dis 1988;12:373-7;

[3]J Exp Med 1999;189:1747-56;

[4]Nat Genet 2005;37:793-4;

[5]Arthritis Res Ther 2018;20:158;

[6]Arthritis Res Ther 2020;22:157;

[7]Engl J Med 2017;376:1615-26;

[8]Sci Rep 2018;8:8195.

Acknowledgements

This study was supported by the European Regional Development Fund (ERDF) and “Fondo de Investigaciones Sanitarias” (grant PI18/00042 and PI21/00042) from ‘Instituto de Salud Carlos III’ (ISCIII, Health Ministry, Spain). DP-P is a recipient of a Río Hortega programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CM20/00006]; SR-M is supported by funds of the RETICS Program co-funded by ERDF [grant number RD16/0012/0009]; VP-C is supported by a pre-doctoral grant from IDIVAL [grant number PREVAL 18/01]; RL-M is a recipient of a Miguel Servet type II programme fellowship from the ISCIII, co-funded by ESF `Investing in your future´ [grant number CPII21/00004].

Disclosure of Interests

Diana Prieto-Peña: None declared, Fernanda Genre: None declared, Sara Remuzgo Martinez: None declared, Verónica Pulito-Cueto: None declared, Belén Atienza-Mateo: None declared, Belén Sevilla: None declared, Javier Llorca: None declared, Norberto Ortego: None declared, Maite Leonardo: None declared, Ana Peñalba: None declared, Luis Martín-Penagos: None declared, Jose Alberto Miranda Fillloy: None declared, J. Narváez: None declared, LUIS CAMINAL MONTERO: None declared, PAZ COLLADO: None declared, Antonio Fernandez-Nebro: None declared, Gisela Díaz-Cordoves: None declared, Secundino Cigarrán: None declared, Jesús Calviño: None declared, Carmen Cobelo: None declared, Diego de Argila: None declared, Esther F. Vicente-Rabaneda: None declared, Esteban Rubio-Romero: None declared, MANUEL LEON LUQUE: None declared, Juan María Blanco-Madrigal: None declared, E. Galíndez-Agirregoikoa: None declared, Oreste Gualillo: None declared, Javier Martin Ibanez: None declared, Santos Castañeda: None declared, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Grant/research support from: Abbvie, MSD and Roche, Miguel A González-Gay Speakers bureau: Abbvie, MSD, Jansen, and Roche, Grant/research support from: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene, MSD and GSK, Raquel López-Mejías: None declared

POS0817 TOCILIZUMAB IN NEWLY DIAGNOSED GIANT CELL ARTERITIS VERSUS REFRACTORY/RECURRENT GIANT CELL ARTERITIS; MULTICENTER STUDY OF 471 PATIENTS OF CLINICAL PRACTICE

Background

Tocilizumab (TCZ) is the only biologic drug approved in giant cell arteritis (GCA), based in two clinical trials (CT) (1,2). CT included selected patients who may differ from those of clinical practice (CP). A high proportion of GCA patients treated with TCZ in CT had a newly diagnosed GCA, whereas in CP, most of them are refractory/recurrent GCA (3,4). Although in CT the efficacy of TCZ seems to be similar in patients with newly diagnosed GCA and in patients with refractory/recurrent GCA, in CP it is not documented.

Objectives

To compare in CP, the effectiveness and safety of TCZ in newly diagnosed vs refractory/recurrent GCA.

Methods

Multicentre observational study on 471 GCA patients treated with TCZ. GCA was diagnosed by: a) ACR criteria, and/or b) temporal artery biopsy, and/or c) imaging techniques. A comparative study between patients with newly diagnosed GCA (<6 weeks) and those with refractory/recurrent GCA (>6 weeks) (according to GiACTA study definitions) (2). Sustained remission was based on EULAR definitions (5).

Results

The 471 GCA patients were divided into 2 subgroups: a) newly diagnosed GCA (n=91) and b) refractory/recurrent GCA (n=380) (Table 1).

Table 1.

Main features of patients with newly diagnosed GCA and refractory/recurrent GCA treated with tocilizumab.

Newly diagnosed GCA (n=91)Refractory/recurrent GCA (n=380)pBaseline characteristics at TCZ onset Age(years), mean±SD74.3±8.573.3±9.10.35 Sex, female/male (% female)60/31 (66)282/98 (74)0.11 Time from GCA diagnosis to TCZ onset (months), median [IQR]1 [0.5-1]10 [4-24]0.0001 ESR, mm 1st hour, median [IQR]46 [17.5-80.5]27 [10-50]0.02 CRP, mg/dL, median [IQR]2.1 [0.7-8.5]1.3 [0.4-2.8]0.13 Haemoglobin, g/dL, mean±SD12.3±1.512.7±1.50.03 Prednisone dose, mg/day, median [IQR]40 [21.2-50]15 [10-30]<0.001Effectiveness and Safety after TCZ onsetFollow-up, (months), median [IQR]15 [6-27.5]22 [11-37]0.004Relevant adverse events, n (%)23 (25)102 (27)0.54Relevant adverse events per 100 patients-year2015NSSerious infections, n (%)13 (14)53 (14)0.49Serious infections per 100 patients-year11.28NSMACES, n (%)0 (0)1 (0.3)-MACES per 100 patients-year00.2-Malignancies n (%)2 (2)3 (0.8)0.99Malignancies per 100 patients-year1.60.5NS

Abbreviations: CRP: C-reactive protein;ESR: erythrocyte sedimentation rate;GCA: giant cell arteritis; IQR: interquartile range; IV: intravenous; MACEs: major adverse cardiovascular events; NS: non significant; SC: subcutaneous; SD: standard deviation

No significant differences were observed between both groups in sustained remission, although a greater tendency towards sustained remission is observed in newly diagnosed than in refractory/recurrent GCA patients (Figure 1). The decrease in glucocorticoids dose was faster in the first three months in the newly diagnosed GCA group, but thereafter, was similar in both groups, as well as the appearance of relevant adverse events and serious infections.

Figure 1.

A) Sustained remission, and B) median prednisone dose required in patients with newly diagnosed GCA and in patients with refractory/recurrent GCA treated with tocilizumab.

Conclusion

The effectiveness and safety of TCZ seems to be similar in patients with newly diagnosed GCA and in patients with refractory/recurrent GCA.

References

[1]Villiger PM, et al. Lancet. 2016; 387:1921-1927. PMID: 26952547

[2]Stone JH, et al. N Engl J Med. 2017; 377:317-328. PMID: 28745999

[3]Calderón-Goercke M, et al. Semin Arthritis Rheum. 2019; 49: 126-135. PMID: 30655091

[4]Calderón-Goercke M, et al. Clin Exp Rheumatol. 2020; 124: S112-119. PMID: 32441643

[5]Hellmich B, et al. Ann Rheum Dis. 2020; 79: 19-30. PMID: 31270110

Acknowledgements

Tocilizumab in Giant Cell Arteritis Spanish Collaborative Group: Juan C. González Nieto (H. Gregorio Marañón), Juan R. de Dios (H.U. Araba), Esther Fernández (H. Clínico Universitario Virgen de la Arrixaca), Isabel de la Morena (H. Clínico Universitario de Valencia), Patricia Moya (H. Sant Pau), Roser Solans i Laqué (H. Valle de Hebrón), Eva Pérez Pampín (H.U. de Santiago), José L. Andréu (H.U. Puerta de Hierro), Marcelino Revenga (H. Ramón y Cajal), Juan P. Baldivieso Achá (H. U. de La Princesa), Eztizen Labrador (H. San Pedro), Andrea García-Valle (Complejo Asistencial Universitario de Palencia), Adela Gallego (Complejo Hospitalario Universitario de Badajoz), Carlota Iñíguez (H.U. Lucus Augusti), Cristina Hidalgo (Complejo Asistencial Universitario de Salamanca), Noemí Garrido-Puñal (H. Virgen del Rocío), Ruth López-González (Complejo Hospitalario de Zamora), José A. Román-Ivorra (H.U. y Politécnico La Fe), Sara Manrique (H. Regional de Málaga), Paz Collado (H.U. Severo Ochoa), Enrique Raya (H. San Cecilio), Valvanera Pinillos (H. San Pedro), Francisco Navarro (H. General Universitario de Elche), Alejandro Olivé-Marqués (H. Trías i Pujol), Francisco J. Toyos (H.U. Virgen Macarena), María L. Marena Rojas (H. La Mancha Centro), Antoni Juan Más (H.U. Son Llàtzer), Beatriz Arca (H.U. San Agustín), Carmen Ordás-Calvo (H. Cabueñes), María D. Boquet (H. Arnau de Vilanova), Noelia Álvarez-Rivas (H.U. Lucus Augusti), María L. Velloso-Feijoo (H.U. de Valme), Cristina Campos (H. General Universitario de Valencia), Íñigo Rúa-Figueroa (H. Doctor Negrín), Antonio García (H. Virgen de las Nieves), Carlos Vázquez (H. Miguel Servet), Pau Lluch (H. Mateu Orfila), Carmen Torres (Complejo Asistencial de Ávila), Cristina Luna (H.U. Nuestra Señora de la Candelaria), Elena Becerra (H.U. de Torrevieja), Nagore Fernández-Llanio (H. Arnáu de Vilanova), Arantxa Conesa (H.U. de Castellón), Eva Salgado (Complejo Hospitalario Universitario de Ourense).

Disclosure of Interests

Julio Sanchez-Martin: None declared, Javier Loricera: None declared, Clara Moriano: None declared, Santos Castañeda: None declared, J. Narváez: None declared, Vicente Aldasoro: None declared, Olga Maiz: None declared, Rafael Melero: None declared, Ignacio Villa-Blanco: None declared, Paloma Vela-Casasempere: None declared, Susana Romero-Yuste: None declared, Jose Luis Callejas-Rubio: None declared, Eugenio de Miguel: None declared, E. Galíndez-Agirregoikoa: None declared, Francisca Sivera: None declared, Carlos Fernández-López: None declared, Carles Galisteo: None declared, Iván Ferraz-Amaro: None declared, Lara Sanchez-Bilbao: None declared, Monica Calderón-Goercke: None declared, Jose Luis Hernández Hernández: None declared, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene and MSD, Grant/research support from: Abbvie, MSD, Jansen and Roche, Ricardo Blanco Speakers bureau: Abbvie, Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma and MSD, Grant/research support from: Abbvie, MSD and Roche

POS0801 VISUAL INVOLVEMENT AND PERMANENT VISUAL LOSS IN GIANT CELL ARTERITIS: PREDICTIVE FACTORS

Background

Visual involvement is the most feared complication of Giant Cell Arteritis (GCA) (1-5). Permanent visual loss (PVL) may be preceded by transient visual loss. Once blindness is established, the prognosis is poor. Most of the series of predictive factors of visual involvement in GCA are old and with a small number of patients.

Objectives

To assess the predictive factors of visual involvement and PVL in GCA.

Methods

Multicenter observational study of 471 patients with GCA. The diagnosis of GCA was performed between 2016 and 2021 according to: a) ACR criteria, and/or b) temporal artery biopsy, and/or c) imaging techniques.

From the 471 patients, we selected patients who developed a) visual involvement at any time during GCA and b) PVL. PVL was defined as partial or complete visual loss of >24 hours. Predictive factors were identified by multivariate analysis.

Results

Visual involvement was observed in 122 cases and PVL in 60 (Table 1). The ischemic and systemic manifestations set of variables associated with visual involvement were headache, and jaw claudication, whereas large-vessel involvement was a protective variable (Figure 1). The area under the curve (AUC) for the model was 0.72 (95%CI 0.67-0.77; p<0.0001).

Figure 1.

Forest plot of multivariate analysis.

Table 1.

Main features of the patients

Overall (n= 471)GCA without visual involvement (n=349)GCA with visual involvement (n= 122)GCA with PVL (n=60)P visual vs non visual involvementP PVL vs non visual involvementAge at diagnosis of GCA (mean±SD)72±971±975±875±90.0010.001Female/Male (% of female)342/129 (73)265/84 (76)77/45 (63)41/19 (68)0.0060.21Positive TAB, n (%)201 (43)146 (42)55 (45)33 (55)0.530.34Cardiovascular risk factorsHigh blood pressure, n (%)272 (58)189 (54)83 (68)40 (67)0.0130.058Dyslipidemia, n (%)241 (51)175 (50)66 (54)32 (53)0.610.63Diabetes, n (%)81 (17)50 (14)31 (25)16 (27)0.0070.016Previous or current smoking history, n (%)47 (10)31 (9)16 (13)8 (13)0.210.27CHADS2 score, median [IQR]1 [1-2]1 [0-2]2 [1-2]2 [1-2]0.0010.004Ischemic manifestationsHeadache, n (%)259 (55)167 (48)92 (75)42 (70)0.0000.002Jaw claudication, n (%)112 (24)63 (18)49 (40)26 (43)0.0000.000Systemic manifestationsFever, n (%)57 (12)47 (13)10 (8)4 (7)0.120.20Constitutional syndrome, n (%)175 (37)132 (38)43 (35)20 (33)0.550.47PmR, n (%)284 (60)218 (62)66 (54)29 (48)0.0940.022Large-vessel involvement, n (%)254 (54)211 (60)43 (35)20 (33)0.0000.000ESR, mm/1st hour, median [IQR]32 [12-57]30 [11-54]34 [15-67]42 [12-67]0.220.28CRP (mg/dL), median [IQR]1.5 [0.5-3.4]1.4 [0.5-3.0]1.5 [0.4-4.7]1.5 [0.4-3.6]0.0420.30

In the same line, the set of variables associated with PVL were headache, and jaw claudication. By contrast, polymyalgia rheumatica (PmR), and large-vessel involvement were protective factors (Figure 1). The AUC for this model was 0.77 (95%CI 0.71-0.83; p<0.0001).

Conclusion

Headache, and jaw claudication seem to be associated with visual involvement in GCA, while large vessel involvement seems to be a protective factor. PmR also appears to be a protective factor for the development of PVL.

References

[1]Calderón-Goercke M, et al. Semin Arthritis Rheum. 2019; 49: 126-135. PMID: 30655091

[2]Baalbaki H, et al. Clin Rheumatol. 2021; 40: 3207-3217. PMID: 33580374

[3]González-Gay MA, et al. Arthritis Rheum. 1998; 41: 1497-1504. PMID: 9704651

[4]Prieto-Peña D, et al. Semin Arthritis Rheum. 2019; 48: 720-727. PMID: 29903537

[5]Martínez-Rodríguez I, et al. Semin Arthritis Rheum. 2018; 47: 530-537. PMID: 28967430

Acknowledgements

Tocilizumab in Giant Cell Arteritis Spanish Collaborative Group.

Disclosure of Interests

Lara Sanchez-Bilbao: None declared, Javier Loricera Speakers bureau: Roche, Novartis, UCB Pharma, Celgene, and Grünenthal, Clara Moriano: None declared, Santos Castañeda Speakers bureau: UAM-Roche, EPID- Future chair, Department of Medicine, Universidad Autónoma de Madrid, Madrid, Spain., Iván Ferraz-Amaro: None declared, J. Narváez: None declared, Vicente Aldasoro: None declared, Olga Maiz: None declared, Rafael Melero: None declared, Ignacio Villa-Blanco: None declared, Paloma Vela-Casasempere: None declared, Susana Romero-Yuste: None declared, Jose Luis Callejas-Rubio: None declared, Eugenio de Miguel: None declared, E. Galíndez-Agirregoikoa: None declared, Francisca Sivera: None declared, Carlos Fernández-López: None declared, Carles Galisteo: None declared, Julio Sanchez-Martin: None declared, Monica Calderón-Goercke: None declared, J. Luis Hernández: None declared, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene, and MSD., Grant/research support from: AbbVie, MSD, Jansen, and Roche,, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Lilly, Janssen, and MSD., Grant/research support from: Abbvie, MSD, and Roche

AB0398 AURICULAR TRANSCUTANEOUS HI-FREQUENCY E-MMUNOTHERAPY SEQUENCES (ATHENS) FOR THE TREATMENT OF RHEUMATOID ARTHRITIS: 1-YEAR CHANGES IN SYNOVITIS, OSTEITIS, AND BONE EROSION

Background

Current pharmacological treatments remain inadequate for a significant proportion of patients with rheumatoid arthritis (RA), and thus alternative treatment approaches are needed. Prior results from the first 12 weeks of a proof-of-concept (POC) study showed that ATHENS, a non-invasive high-frequency vagus nerve therapy, was well-tolerated with meaningful reductions in RA disease severity as measured by the American College of Rheumatology response criteria (ACR) and the Disease Activity Score using 28 joints (DAS28)[1].

Objectives

The current analysis assessed long-term changes (52 weeks total follow-up) in disease activity as measured by ACR, DAS28, and the following MRI-assessed changes: synovitis, osteitis, bone erosion, and cartilage loss.

Methods

Following the completion of the 12-week POC study, patients achieving a reduction in DAS28-CRP of ≥1.2 were given the option to enroll in the 9-month open-label extension (OLE) study. During the extension phase, patients were to use the wearable device for 15 minutes per day. Adjustment of conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) or biologic disease-modifying antirheumatic drugs (bDMARDs) were allowed during the OLE. Changes from baseline were assessed at 12 weeks (end of initial POC) and 52 weeks (end of the OLE). Structural damage and disease progression were evaluated by standardized MRI of the wrist and hand, with and without intravenous gadolinium-based contrast. MRIs were evaluated by two independent, central readers, blinded to clinical information and visit-order of the images, and were scored for synovitis, osteitis and bone erosion using the OMERACT-RAMRIS method. Cartilage loss was also determined using the 9-point cartilage loss scale (CARLOS).

Results

Twenty-seven of 30 patients completed the initial 12-week study, of whom 19 consented and entered the OLE. Of those 19 patients, 4 (21%) discontinued due to lack of efficacy, while the remaining 15 completed the 9-month extension. Due to the COVID-19 pandemic, 7 patients were unable to complete a 52-week MRI scan; MRI evaluations at baseline, 12 weeks, and 52 weeks were available for 8 patients.

DAS28-CRP mean (standard deviation [SD]) change from baseline was -1.78 (1.01) at 12 weeks (n=19; p<0.0001) and -2.30 (1.22) at 52 weeks (n=15; p<0.0001). ACR20, ACR50, and ACR70 response rates were 68%, 42%, and 21% at 52 weeks (n=19; discontinued participants were deemed non-responders). MRI analysis of synovitis, osteitis, bone erosion, and cartilage loss showed no evidence of disease progression through 52 weeks compared with baseline (Table 1).

Table 1.

Change in MRI OMERACT-RAMRIS from baseline to week 52

ScoreBaseline (n=8)Week 12 (n=8)Week 52 (n=8)Change Week 12 vs BL (n=8)Change Week 52 vs BL (n=8)CARLOS, mean (SD)3.9 (5.6)3.9 (5.6)3.9 (5.6)0.0 (0.0)0.0 (0.0)Erosion, mean (SD)10.8 (10.3)10.5 (10.3)10.6 (10.3)-0.3 (0.4)-0.1 (0.8)Osteitis, mean (SD)2.8 (4.1)2.3 (3.7)1.0 (1.1)-0.5 (1.1)-1.8 (3.1)Synovitis, mean (SD)4.0 (4.2)4.1 (4.7)3.3 (4.0)0.1 (0.6)-0.7 (1.0)

CARLOS = Cartilage loss score; OMERACT = Outcome Measures in Rheumatology; RAMRIS = Rheumatoid Arthritis Magnetic Resonance Imaging Scoring System

During the 9-month extension study, two new adverse events were reported (cornea transplant and right hand dysesthesia) in 2 (11%) patients; neither was treatment-related and both resolved without intervention. No serious adverse events were reported.

Conclusion

In patients with an initial treatment response to the Nēsos ATHENS therapy in the 12-week POC study, reductions in DAS28-CRP were sustained through 52 weeks. Although results should be interpreted cautiously given the small sample size and lack of control arm, MRI evaluation of synovitis, osteitis, bone erosion, and cartilage loss suggested no disease progression.

References

[1]Marsal, S., The Lancet Rheumatology, 2021. 3(4): p. e262-e269.

Disclosure of Interests

Charles Peterfy Consultant of: Nesos Corp, Employee of: Spire Sciences, Héctor Corominas: None declared, Juan Jose de Agustin: None declared, Carolina Perez-Garcia: None declared, Maria Lopez Lasanta: None declared, Helena Borrell Paños: None declared, D Reina-Sanz: None declared, Raimón Sanmartí: None declared, J. Narváez: None declared, Jose Antonio Narvaez: None declared, Vivek Sharma Shareholder of: Nesos Corp., Employee of: Nesos Corp., Konstantinos Alataris Shareholder of: Nesos Corp., Employee of: Nesos Corp., Mark C. Genovese Shareholder of: Nesos Corp. and Gilead, Employee of: Gilead, Matthew Baker Shareholder of: Nesos Corp., Consultant of: Nesos Corp., Sara Marsal Consultant of: Nesos, Pfizer, Sandoz, Novartis, Gilead, Grant/research support from: Nesos, BMS, Celgene, Merck Sharp and Dohme, Pfizer, Sandoz, Novartis, Sanofi, Janssen, Union Chimique Belge Pharma

POS0804 TOCILIZUMAB IN LARGE-VESSEL GIANT CELL ARTERITIS AND TAKAYASU ARTERITIS: MULTICENTRIC OBSERVATIONAL COMPARATIVE STUDY

Background

Tocilizumab (TCZ) has shown to be effective for large vessel vasculitis including giant cell arteritis (GCA) and Takayasu arteritis (TAK) (1-5). However, LVV-GCA and TAK show different demographic and clinical features that may influence on TCZ therapeutic response.

Objectives

To compare the effectiveness of TCZ in patients with LVV-GCA and patients with TAK.

Methods

Observational multicenter study of patients with LVV-GCA and TAK who received TCZ. Outcome variables were: a) proportion of patients who achieved complete clinical improvement along with normalization of laboratory markers (CRP ≤0.5mg/dL and/or ESR ≤ 20 mm/1st hour) at 12 months b) complete improvement in imaging techniques. A comparative study between patients with LVV-GCA and TAK was performed.

Results

We evaluated 70 LVV-GCA and 57 TAK patients who received TCZ. Main clinical and demographic characteristic are described in Table 1. Patients with TAK were younger, had longer disease duration, had received more commonly previous biologic therapy and were receiving higher doses of prednisone at baseline. TCZ intravenous administration was more common in TAK patients (80.7% vs 48.6%; p<0.01). Follow-up time after TCZ onset was similar in both groups. At 12 months, about 75% of patients achieved complete clinical improvement and ESR/CRP normalization in both groups. A follow-up imaging technique was performed in 37 LVV-GCA patients after a mean time of 12.9±6.0 months and 38 TAK patients after 9.5±5.0 months. Complete improvement in imaging techniques was only observed in 18.9% and 21.1% of patients with LVV-GCA and TAK, respectively (Figure 1).

Table 1.LVV-GCA (n=70)TAK (n=57)pGeneral featuresAge (years), mean ± SD67.2 ± 10.540.5 ± 16.3< 0.01Sex (female), n (%)51 (72.9)49 (86)0.07Disease evolution before TCZ onset (months), median [IQR]5 [2-15]12 [3-37]<0.01Baseline laboratory parametersESR (mm/1st hour), median [IQR]32 [12.5-54.7]31 [10-52]0.82CRP (mg/dL), median [IQR]1.4 [0.5-2.4]1.4 [0.5-3.5]0.41Baseline prednisone dose (mg/day), median [IQR]15 [10-20]30 [15-50]< 0.01Previous therapyConventional DMARDs, n(%)45 (64.3)44(77.2)0.51Biologic therapy, n (%)0(0)12 (21.1)<0.01TCZ therapyIntravenous, n (%)34 (48.6)46 (80.7)< 0.01Combined with MTX, n(%)24 (34.3)24 (42.1)0.37Follow-up time after TCZ onset, median [IQR]20 [10-36]18 [7-41]0.73Complete clinical improvement and ESR/CRP normalization at 12 months, n/N (%)35/47 (74.4)30/39 (76.9)0.79Complete improvement in imaging techniques, n/N(%)7/37 (18.9)8/38 (21.1)0.85

CRP: C-reactive protein; DMARDs: Disease-modifying anti-rheumatic drugs ESR: erythrocyte sedimentation rate; GCA: giant cell arteritis; IQR: interquartile range; LVV: large vessel; MTX: methotrexate; n: Number of patients; N: total number of patients: TCZ: tocilizumab; TAK:takayasu

Figure 1.

Conclusion

The effectiveness of TCZ was similar in patients with LVV-GCA and TAK, despite a more refractory disease in TAK patients. A discordance between clinical and imaging activity improvement was observed in both LVV-GCA and TAK, as reported in previous studies (3).

References

[1]Calderón-Goercke M, et al. Semin Arthritis Rheum 2019; 49:126-35. https://doi.org/10.1016/j.semarthrit.2019.01.003

[2]Prieto-Peña D et al. Ther Adv Musculoskelet Dis. 2021;13:175. PMID: 34211589.

[3]Prieto Peña D et al. Clin Exp Rheumatol. 2021;39 Suppl 129:69-75. PMID: 33253103.

[4]González-Gay MA, et al. Expert Opin Biol Ther. 2019;19:65-72. doi: 10.1080/14712598.2019.1556256.

[5]Prieto-Peña D, et al. Semin Arthritis Rheum. 2019;48(4):720-727. doi: 10.1016/j.semarthrit.2018.05.007

Disclosure of Interests

None declared

AB1307 RHEUMATIC SYNDROMES INDUCED BY ONCOLOGIC AND HEMATOLOGIC TARGETED THERAPIES

Background

Targeted therapy has gradually become the first-line clinical therapy for solid tumors and hematologic disorders (1). Immune related adverse side effects (irAE) due to checkpoint inhibitors are well recognized side effects in patients with underlying oncologic disorders; however, information regarding rheumatic side effects due to several targeted therapies are rarely reported.

Objectives

Our aim was to describe the main rheumatic syndromes induced by targeted therapies.

Methods

This observational study included patients from 2 referral University centers in Barcelona. We included patients referred from Oncology and Hematology departments visited from January 2017 to January 2022 at Hospital Clinic and Hospital de Bellvitge, Barcelona, Spain.

Results

Fifteen patients were included (Female 60%), with a mean age 63.3± 10.8 years. Nine patients had hematological disorders and 8 solid tumors. Main diagnosis included Multiple Myeloma in 3 (20%) patients, Non-Hodgkin Lymphoma 2 (13%), Acute Myeloid Leukemia 2 (13%), Melanoma 2 (13%), Colon carcinoma 1 (6.7%), Breast carcinoma 1 (6.7%), Glioblastoma multiforme 1 (6.7%), Chronic lymphatic leukemia 1 (6.7%), Renal cell carcinoma 1 (6.7%) and Sésary Syndrome in 1 (6.7%) patient. Targeted therapies included MAP kinases in 4 (26.7%) patients, Anti CD-38 in 3 (20%), Anti BRAF in 2 (13.3%), and anti STAT-3, anti VEGF, BTK inhibitor, anti CCR4, Isocitrate dehydrogenase 2 inhibitor and Halichondrin B analoge in 1 (6.7%) patient each. Treatment was administrated as monotherapy in 9 (60%) and as combined therapy in 6 (40%).

Mean time from the initiation of targeted therapies and rheumatic syndrome onset was 5.0 ± 3.8 months. Main rheumatic syndrome were: Polymyalgia rheumatica (PMR) in 4 (26%) patients, Raynaud’s phenomenon in 2 (13%), Tenosynovitis in 2 (13%), RA-like 2 (13%), cutaneous vasculitis, amyopathic dermatomyositis, oligoarthritis, spondyloarthropathy-like and non-inflammatory arthralgias in 1 (6.7%) case each. Main clinical characteristics are summarized in Table 1.

In 8 (53%) cases, targeted therapies were stopped due side effects. Rheumatic syndrome were treated with, glucocorticoids (GC) 12 (80%), calcium antagonist 2 (13%), Hydroxychloroquine in 2 (13%), Methotrexate in 1 (6.7%), Sulfasalazine in 1 (6.7%) and NSAID in 1 (6.7%) patient.

Mean follow-up were 15.4± 20 months. Most of the patients remain alive (86%). According oncologic prognosis, 4 (26%) had complete response, 6 (40%) had partial response and 5 (33%) had disease progression. At the time of the last visit, 6 (40%) patients remain on GC (mean dose 6.7 ± 4.7 mg/d) and 4 (26%) patients on DMARD therapy.

Conclusion

In this heterogeneous group of patients treated with targeted therapies, we described a variety of induced rheumatic syndromes including PMR, arthritis, and even vasculitis or dermatomyositis. An important proportion of patients stopped the treatment due to side effects and some of them required sustained treatment including GC and DMARD.

References

[1]Castelli MS et al. Pharmacol Res Perspect. 2019 Dec;7(6):e00535.

Table 1.

Main clinical rheumatic syndromes induced by targeted therapies

Disclosure of Interests

José A Gómez-Puerta Speakers bureau: Abbvie, BMS, Galápagos, GSK, Janssen, Lilly, MSD, Pfizer and Roche, Consultant of: Galápagos, Roche and Sanofi, Marian Tormo-Ratera: None declared, ANDRES PONCE FERNANDEZ Speakers bureau: Lilly, Novartis, Laura Farran: None declared, Beatriz Frade-Sosa Speakers bureau: Abbvie, Juan Camilo Sarmiento Monroy Speakers bureau: GSK, J. Narváez: None declared

POS0828 BIOLOGIC THERAPY IN REFRACTORY PARENCHYMAL AND NON-PARENCHYMAL NEUROBEHÇET DISEASE: NATIONAL MULTICENTER STUDY

Background

Ocular and Neurobehçet’s Disease (NBD) are the most severe manifestations of Behcet’s disease (1-4). NBD can be classified as a) primary neural parenchymal lesions, also known as parenchymal NBD (p-NBD) or b) secondary to vascular involvement or non-parenchymal NBD (np-NBD) (4). Response to biologic therapy (BT) in these two refractory subtypes of NBD is unknown.

Objectives

To assess efficacy and safety of BT in refractory subtypes of NBD.

Methods

Open-label multicenter study of refractory NBD from 21 different referral National Hospitals. NBD diagnosis was based on the International Consensus Recommendation criteria (4). Efficacy was determined by complete or partial response and no-response. Complete, partial or no response was defined according to the resolution of the neurological syndrome (signs and/or symptoms) after the BT onset.

Results

We studied 41 patients (21 women/20 men; mean age: 40.6±10.8 years). NBD was classified as p-NBD (n= 33, 80.5%) and np-NBD (n=17, 41.5%). There were no significant differences in baseline general features and in neurological clinical response in both subgroups (Table 1 and Figure 1). The first BT used in p-NBD were Infliximab (IFX) (n=15), Adalimumab (ADA) (n=11), Golimumab (GLM) (n=3), Tocilizumab (TCZ) (n=2) and Etanercept (ETN) (n=2) and in np-NBD were IFX (n=9), ADA (n=6), TCZ (n=1) and ETN (n=1).

Table 1.

Main features of p-NBD and np-NBD

Totalp-NBDnp-NBDP p-NBD vs np-NBDAge at biological therapy initiation, years (mean±SD)44±13.941.4±9.639.4±10.60.412Gender, n (m/f) (%)21/20 (48.8/52.2)18/15 (54.5/45.5)5/12 (29.4/70.6)0.091HLAB51 +/ patients tested, n (%)15/31 (57.7)14/25 (58.3)4/10 (40)0.391Oral aphthae, n (%)40 (97.6)32 (97)15 (88.2)0.323Cutaneous involvement, n (%)28 (63.4)23 (69.7)10 (58.8)0.603Ocular involvement, n (%)21 (48.8)15 (45.5)9 (52.9)0.616Vascular involvement, n (%)9 (22)10 (30.3)7 (41.2)0.442Articular involvement, n (%)9 (22)7 (21.2)3 (17.6)0.765Previous conventional Immunosuppressive drugs to BTAzathioprine24 (58.5)20 (60.6)10 (58.8)-Methotrexate16 (39.0)12 (36.4)3 (17.6)-Cyclophosphamide13 (31.7)13 (39.4)5 (29.4)-Cyclosporine A9 (22.0)8 (24.2)3 (17.6)-Mycophenolate Mofetil2 (4.9)2 (6.1)0-Figure 1.

Response to biological therapy according to NBD subtypes.

After an overall mean follow-up of 57.5±50.9 months BT was switched in 22 patients due to inefficacy (n=16) or Adverse Effects (AE) (n=6) and in 4 cases was definitively discontinued because of complete prolonged remission (n=3) or AE (n=1). AE were observed in 7 (17.1%) patients. Severe AE were observed in 2 cases, one due to demyelinating disease and the other due to pulmonary tuberculosis, both in patients undergoing IFX therapy. The other 6 AE were infusion reaction to IFX (n=1), IFX-induced psoriasis (n=1), IFX-induced acneiform eruption (n=1), infusion reaction to TCZ (n=1), intolerance to IFX and recurrent mild infections (n=1) and erosive lichen planus and bullous impetigo (n=1).

Conclusion

In our series, BT seems equally effective and safe in both refractory p-NBD and np-NBD.

References

[1]Martín-Varillas JL, et al. Ophthalmology 2018 Sep;125(9):1444-1451. doi: 10.1016/j.ophtha.2018.02.020.

[2]Atienza-Mateo B, et al. Arthritis Rheumatol 2019 Dec;71(12):2081-2089. doi: 10.1002/art.41026.

[3]Santos-Gómez M, et al. Clin Exp Rheumatol 2016 Sep-Oct;34(6 Suppl 102): S34-S40.

[4]Kalra S, et al. Diagnosis and management of Neuro-Behçet’s disease: international consensus recommendations. J Neurol. 2014 Sep;261(9):1662–76.

Disclosure of Interests

Alba Herrero-Morant: None declared, José Luis Martín-Varillas Grant/research support from: AbbVie, Pfizer, Lilly, Janssen, UCB, and Celgene, Santos Castañeda Paid instructor for: Assistant professor of the Cátedra UAM-ROCHE, EPID-Future, UAM, Madrid, Spain, Olga Maiz-Alonso: None declared, Julio Sanchez-Martin: None declared, Norberto Ortego: None declared, Enrique Raya: None declared, Águeda Prior-Español: None declared, Clara Moriano: None declared, Rafael Melero: None declared, Jenaro Graña: None declared, ANA URRUTICOECHEA-ARANA: None declared, Angel Ramos Calvo: None declared, Marta Loredo Martínez: None declared, Eva Salgado-Pérez: None declared, Francisca Sivera: None declared, Ignacio Torre-Salaberri: None declared, J. Narváez Speakers bureau: Bristol-Myers Squibb, José Luis Andréu Sánchez: None declared, Olga Martínez González: None declared, Ricardo Gómez de la Torre: None declared, Sabela Fernández: None declared, Susana Romero-Yuste: None declared, Iñigo Gonzalez-Mazon: None declared, Carmen Álvarez-Reguera: None declared, David Martínez-López: None declared, J. Luis Hernández: None declared, Miguel Á. González-Gay Speakers bureau: Abbvie, Roche, Sanofi, Lilly, Celgene, Sobi, and MSD, Grant/research support from: Abbvie, MSD, Janssen, and Roche, Ricardo Blanco Speakers bureau: Abbvie, Lilly, Pfizer, Roche, BMS, Janssen, and MSD, Grant/research support from: Abbvie, MSD, and Roche

AB0145 IgA VASCULITIS AND IgA NEPHROPATHY SHARE A SIMILAR IL33-IL1RL1 ASSOCIATION PATTERN

Background

IgA vasculitis (IgAV) and IgA nephropathy (IgAN) are inflammatory conditions that share pathogenic and molecular mechanisms [1] and may represent different outcomes of a continuous spectrum of the disease [2]. Interleukin (IL)-33 is a cytokine that exerts its biological functions by binding to its receptor, IL-1 receptor like 1 (IL-1RL1) [3]. Several lines of evidence demonstrate that genetic variants located both in IL33 and IL1RL1 genes are implicated in the increased risk of numerous immune-mediated diseases [4].

Objectives

To determine whether IgAV and IgAN exhibit a different IL33-IL1RL1 association pattern.

Methods

Three tag genetic variants within IL33 (rs3939286, rs7025417 and rs7044343) and three tag polymorphisms within IL1RL1 (rs2310173, rs13015714 and rs2058660), which cover the major variability of these loci and that were previously associated with several inflammatory diseases were genotyped in 380 Caucasian patients with IgAV, 96 patients with IgAN and 845 sex and ethnically matched healthy controls.

Results

Similar genotype and allele frequencies were observed in the whole cohort of patients with IgAV when compared to those with IgAN when IL33-IL1RL1 genetic variants were analyzed independently (Table 1). In accordance with that, no IL33-IL1RL1 genotype or allele differences were detected between IgAV patients who developed nephritis and patients with IgAN (Table 1). Additionally, no statistically significant differences between the whole cohort of patients with IgAV and healthy controls as well as between patients with IgAN and healthy controls were observed when each IL33-IL1RL1 genetic variant was also analyzed independently (Table 1). Similar results were disclosed when haplotype frequencies were compared between the different comparative groups above mentioned (data not shown).

Table 1.

Genotype and allele frequencies of IL33 and IL1RL1 in the whole cohort of patients with IgAV, patients with IgAV who developed nephritis, patients with IgAN and healthy controls.

PolymorphismChangeData setGenotypes, % (n)Alleles, % (n)1/21/11/22/212IL33 rs3939286C/TIgAV49.1 (186)40.9 (155)10.0 (38)69.5 (527)30.5 (231)IgAV with nephritis48.5 (66)39.7 (54)11.8 (16)68.4 (186)31.6 (86)IgAN43.8 (42)49.0 (47)7.3 (7)68.2 (131)31.8 (61)Controls49.0 (414)41.4 (350)9.6 (81)69.7 (1178)30.3 (512)IL33 rs7025417T/CIgAV68.1 (254)29.5 (110)2.4 (9)82.8 (618)17.2 (128)IgAV with nephritis69.9 (93)27.1 (36)3.0 (4)83.5 (222)16.5 (44)IgAN61.5 (59)37.5 (36)1.0 (1)80.2 (154)19.8 (38)Controls70.8 (598)25.9 (219)3.3 (28)83.7 (1415)16.3 (275)IL33 rs7044343T/CIgAV42.3 (160)42.1 (159)15.6 (59)63.4 (479)36.6 (277)IgAV with nephritis44.5 (61)39.4 (54)16.1 (22)64.2 (176)35.8 (98)IgAN40.6 (39)49.0 (47)10.4 (10)65.1 (125)34.9 (67)Controls44.5 (376)43.9 (371)11.6 (98)66.4 (1123)33.6 (567)IL1RL1 rs2310173G/TIgAV29.2 (111)46.1 (175)24.7 (94)52.2 (397)47.8 (363)IgAV with nephritis32.1 (44)43.1 (59)24.8 (34)53.6 (147)46.4 (127)IgAN20.8 (20)46.9 (45)32.3 (31)44.3 (85)55.7 (107)Controls30.2 (255)46.7 (395)23.1 (195)53.6 (905)46.4 (785)IL1RL1 rs13015714T/GIgAV56.3 (211)39.5 (148)4.3 (16)76.0 (570)24.0 (180)IgAV with nephritis61.8 (84)33.8 (46)4.4 (6)78.7 (214)21.3 (58)IgAN54.2 (52)40.6 (39)5.2 (5)74.5 (143)25.5 (49)Controls57.2 (483)37.2 (314)5.7 (48)75.7 (1280)24.3 (410)IL1RL1 rs2058660A/GIgAV56.9 (215)38.6 (146)4.5 (17)76.2 (576)23.8 (180)IgAV with nephritis62.2 (84)31.9 (43)5.9 (8)78.1 (211)21.9 (59)IgAN53.1 (51)42.7 (41)4.2 (4)74.5 (143)25.5 (49)Controls56.7 (479)37.5 (317)5.8 (49)75.4 (1275)24.6 (415)

IgAV: IgA vasculitis; IgAN: IgA nephropathy.

Conclusion

Our results reveal that IgAV and IgAN share a similar IL33-IL1RL1 association pattern.

References

[1]N Engl J Med 2013;368:2402-14;

[2]Am J Kidney Dis 1988;12:373-7;

[3]J Immunol 2007;179:2551–5,

[4]Sci Rep 2021;11:16163

Acknowledgements

This study was supported by the European Regional Development Fund (ERDF) and “Fondo de Investigaciones Sanitarias” (grant PI18/00042 and PI21/00042) from ‘Instituto de Salud Carlos III’ (ISCIII, Health Ministry, Spain). DP-P is a recipient of a Río Hortega programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CM20/00006]; SR-M is supported by funds of the RETICS Program co-funded by ERDF [grant number RD16/0012/0009]; VP-C is supported by a pre-doctoral grant from IDIVAL [grant number PREVAL 18/01]; RL-M is a recipient of a Miguel Servet type II programme fellowship from the ISCIII, co-funded by ESF `Investing in your future´ [grant number CPII21/00004].

Disclosure of Interests

Diana Prieto-Peña: None declared, Sara Remuzgo Martinez: None declared, Fernanda Genre: None declared, Verónica Pulito-Cueto: None declared, Belén Atienza-Mateo: None declared, Belén Sevilla: None declared, Javier Llorca: None declared, Norberto Ortego: None declared, Maite Leonardo: None declared, Ana Peñalba: None declared, Luis Martín-Penagos: None declared, Jose Alberto Miranda Fillloy: None declared, J. Narváez: None declared, LUIS CAMINAL MONTERO: None declared, PAZ COLLADO: None declared, Antonio Fernandez-Nebro: None declared, Gisela Díaz-Cordoves: None declared, Secundino Cigarrán: None declared, Jesús Calviño: None declared, Carmen Cobelo: None declared, Patricia Quiroga Colino: None declared, Javier Sanchez Perez: None declared, Esteban Rubio-Romero: None declared, MANUEL LEON LUQUE: None declared, Juan María Blanco-Madrigal: None declared, E. Galíndez-Agirregoikoa: None declared, Oreste Gualillo: None declared, Javier Martin Ibanez: None declared, Santos Castañeda: None declared, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Grant/research support from: Abbvie, MSD and Roche, Miguel A González-Gay Speakers bureau: Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene, MSD and GSK, Grant/research support from: Abbvie, MSD, Jansen and Roche, Raquel López-Mejías: None declared

POS0113 BAFF-APRIL-BAFFR PATHWAY ON THE PATHOGENESIS OF IMMUNOGLOBULIN-A VASCULITIS

Background:

BAFF, APRIL and BAFFR are genes that encode cytokines with a key role in the development and survival of B-lymphocytes [1-4]: The B cell-activating factor (BAFF, also known as BLyS), a proliferation-inducing ligand (APRIL) and BAFF receptor (BAFF-R), respectively. Previous genetic studies have revealed that the BAFF-APRIL-BAFFR pathway is implicated in the genetic predisposition to several immune-mediated diseases [5].

Objectives:

To determine whether the BAFF-APRIL-BAFFR pathway represents a novel genetic risk factor for the pathogenesis of Immunoglobulin-A vasculitis (IgAV), an inflammatory disease in which IgA deposits and B-lymphocytes are crucial [6, 7].

Methods:

A functional BAFF polymorphism (rs374039502) and two tag variants within APRIL (rs11552708 and rs6608) and BAFFR (rs7290134 and rs77874543) were genotyped in 386 Caucasian IgAV patients (the largest series of Caucasian patients with IgAV ever assessed for genetic studies) and 806 sex and ethnically matched healthy controls by TaqMan assays.

Results:

No statistically significant differences in the genotype and allele frequencies between patients with IgAV and healthy controls were observed when each genetic variant of BAFF APRIL and BAFFR was analyzed independently (Table 1). Likewise, no statistically significant differences in genotype and allele frequencies of BAFF APRIL or BAFFR were found when patients with IgAV were stratified according to the age at disease onset or to the presence/absence of gastrointestinal or renal manifestations. Similar results were disclosed when haplotype frequencies of APRIL and BAFFR were compared between patients with IgAV and healthy controls as well as patients with IgAV stratified according to the age at disease onset or to the presence/absence of gastrointestinal or renal manifestations.

Conclusion:

Our results suggest that the BAFF-APRIL-BAFFR pathway does not contribute to the genetic network underlying IgAV.

References:

[1]J Exp Med 1999;190:1697-710; [2] Science 1999;285:260-3; [3] Nat Genet 2005;37:829-34; [4] Nat Immunol 2002;3:822-9; [5] N Engl J Med 2017;376:1615-26; [6] N Engl J Med 2013;368:2402-14; [7] Autoimmun Rev 2018;17:301-315.

Table 1.

Genotype and allele frequencies of BAFF, APRIL and BAFFR genes in patients with IgA vasculitis and healthy controls.

PolymorphismLocus1/2Data set1/11/22/212rs374039502BAFFT/APatients91.9 (353)8.1 (31)095.9 (737)4.1 (31)Controls91.5 (733)8.1 (65)0.4 (3)95.6 (1531)4.4 (71)rs11552708APRILG/APatients78.1 (299)20.6 (79)1.3 (5)88.4 (677)11.6 (89)Controls77.9 (625)20.4 (1641.6 (13)88.1 (1414)11.9 (190)rs6608APRILC/TPatients71.9 (277)26.0 (100)2.1 (8)84.9 (654)15.1 (116)Controls70.0 (561)27.6 (221)2.5 (20)83.7 (1343)16.3 (261)rs7290134BAFFRA/GPatients58.0 (224)36.3 (140)5.7 (22)76.2 (588)23.8 (184)Controls57.2 (459)36.4 (292)6.5 (52)75.3 (1210)24.6 (396)rs77874543BAFFRG/CPatients82.7 (316)16.0 (61)1.3 (5)90.7 (693)9.3 (71)Controls83.0 (666)16.6 (133)0.4 (3)91.3 (1465)8.7 (139)

Acknowledgements:

This study was supported by European Union FEDER funds and “Fondo de Investigaciones Sanitarias” (grant PI18/00042) from ‘Instituto de Salud Carlos III’ (ISCIII, Health Ministry, Spain). DP-P is a recipient of a Río Hortega programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CM20/00006]; SR-M is supported by funds of the RETICS Program co-funded by the European Regional Development Fund (ERDF) [grant number RD16/0012/0009]; VP-C is supported by a pre-doctoral grant from IDIVAL [grant number PREVAL 18/01]; BA-M is a recipient of a `López Albo´ Post-Residency Programme funded by Servicio Cántabro de Salud; LL-G is supported by funds of IDIVAL [grant number INNVAL20/06]; RL-M is a recipient of a Miguel Servet type I programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CP16/00033].

Disclosure of Interests:

Diana Prieto-Peña Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Grant/research support from: Abbvie, MSD and Roche, Sara Remuzgo Martinez: None declared, Fernanda Genre: None declared, Verónica Pulito-Cueto: None declared, Belén Atienza-Mateo: None declared, Belén Sevilla: None declared, Javier Llorca: None declared, Norberto Ortego: None declared, Leticia Lera-Gómez: None declared, Maite Leonardo: None declared, Ana Peñalba: None declared, J. Narváez: None declared, Luis Martín-Penagos: None declared, Jose Alberto Miranda-Filloy: None declared, LUIS CAMINAL MONTERO: None declared, PAZ COLLADO: None declared, Javier Sanchez Perez: None declared, Diego de Argila: None declared, Esteban Rubio-Romero: None declared, MANUEL LEON LUQUE: None declared, Juan María Blanco-Madrigal: None declared, E. Galindez: None declared, Javier Martin Ibanez: None declared, Santos Castañeda: None declared, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Grant/research support from: Abbvie, MSD and Roche, Miguel A González-Gay Speakers bureau: Pfizer, Abbvie, MSD, Grant/research support from: Pfizer, Abbvie, MSD, Raquel López-Mejías: None declared

POS1371 BIOLOGICAL THERAPY IN REFRACTORY NEUROBEHÇET’S DISEASE. MULTICENTER STUDY OF 42 PATIENTS

Background:

Neuro-Behçet’s disease (NBD) is a severe complication of Behcet’s disease (BD). Despite well-established therapies with glucocorticoids and conventional immunosuppressants (cIS), a significant proportion of patients are refractory.

Objectives:

To assess efficacy and safety of biologic therapy (BT) in NBD refractory to glucocorticoids and at least one cIS.

Methods:

Open-label multicenter study of refractory NBD from 23 different referral Spanish Hospitals. Main outcome was neurological response. Secondarily, analytical efficacy was measured by Erythrocyte Sedimentation Rate (ESR), C-Reactive Protein (CRP) and Hemoglobin (Hb) at baseline, 6 months, 1 year and 2 years.

Results:

We studied 42 patients (21 women/ 21 men; mean age 40.4±10.8 years). HLA B51 was positive in 15 out of 37 (40.5%) patients tested. Non-neurological manifestations were oral ulcers (n=41, 97.6%), genital ulcers (n=31, 73.8%), skin lesions (n=28, 66.7%), arthralgia (n=27, 64.3%), uveitis (n=21, 50.0%), arthritis (n=9, 21.4%), venous thrombosis (n=9, 21.4%) and arterial thrombosis (n=4, 9.5%). The underlying neurologic manifestation were parenchymal (n=34, 81.0 %) and non-parenchymal (n=17, 40.5%) involvement (Table 1). The first BT used was infliximab (n=20), adalimumab (n=13), golimumab (n=3), tocilizumab (n=3) and etanercept (n=2).

After 58.2±51.4 months since initiation of BT, neurological response was complete (n=27; 64.3%), or partial (n=11, 26.1%) (Figure 1). Only 4 (9.5%) patients did not respond. After 6 months of BT, ESR improved from.31.5±25.6 to 15.3±11.9 mm/h (p=0.005), CRP from 1.4 [0.2-12.8] to 0.3[0.1-3] mg/dL (p= 0.002) and Hb from 13.1±1.6 to 13.8±1.3 g/dL (p=0.005).

Figure 1.

Neurological clinical response to biological therapy.

Primary failure was observed in 16 (38.1%) patients due to inefficacy (n=11, 68.8%) or adverse effects (n=5, 31.3%). Similarly, causes of secondary failure (n=6, 14.3%) were inefficacy (n=5, 83.3%) and adverse effects (n=1, 16.7%). No serious adverse effects were observed.

Conclusion:

BT, especially monoclonal anti-TNF drugs, seems to be effective and safe in refractory NBD.

Table 1.

Neurologic manifestation of 42 patients with refractory neurobehçet's disease treated with biologic therapy.

Parenchymal subtype, n (%)34 (81.0)-Hemiparesis8 (19.1)-Polineuropathy8 (19.1)-Encephalopathy6 (14.3)-Cognitive impairments4 (9.5)-Optic neuropathy4 (9.5)-Ophtalmoparesis4 (9.5)-Other cranial nerve involvement3 (7.1)-Hemihypoesthesia3 (7.1)-Cerebellar dysphasia1 (2.4)-Cerebellar involvement1 (2.4)-Non-steroidal psicosis1 (2.4)Non-parenchymal subtype, n (%)17 (40.5)-Aseptic meningitis12(28.6)-Thrombosis4 (9.5)-Intracranial hypertension1 (2.4)

Disclosure of Interests:

Alba Herrero-Morant: None declared, José Luis Martín-Varillas Grant/research support from: AbbVie, Pfizer, Lilly, Janssen, and Celgene, Santos Castañeda: None declared, Iñigo González-Mazón: None declared, Olga Maiz: None declared, Ana Blanco Speakers bureau: AbbVie, Julio Sánchez: None declared, Norberto Ortego: None declared, Enrique Raya Speakers bureau: MSD, Grant/research support from: AbbVie, Alejandro Olive: None declared, Anahy Brandy-Garcia: None declared, Águeda Prior-Español: None declared, Clara Moriano: None declared, Elvira Diez Alvarez: None declared, Rafael Melero: None declared, Jenaro Graña: None declared, Álvaro Seijas-López: None declared, ANA URRUTICOECHEA-ARANA: None declared, Angel Ramos Calvo: None declared, Concepción Delgado Beltrán: None declared, Marta Loredo Martínez: None declared, Eva Salgado-Pérez: None declared, Francisca Sivera: None declared, Ignacio Torre-Salaberri: None declared, J. Narváez Speakers bureau: Bristol-Myers Squibb, José Luis Andréu Sánchez: None declared, Olga Martínez González: None declared, Ricardo Gómez de la Torre: None declared, Sabela Fernández: None declared, Susana Romero-Yuste: None declared, Gerard Espinosa: None declared, Miguel Á. González-Gay Speakers bureau: AbbVie, Pfizer, Roche, Sanofi, Lilly, Celgene and MSD, Grant/research support from: AbbVie, MSD, Jansen and Roche, Ricardo Blanco Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, Sanofi, Lilly and MSD, Grant/research support from: AbbVie, MSD, and Roche

OP0300 USE OF THERMOGRAPHY OF HANDS AND MACHINE LEARNING TO QUANTIFY JOINT INFLAMMATION AND ESTIMATE DAS28, CDAI, SDAI IN PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

Disease activity scores such as DAS28, CDAI and SDAI are used in the follow-up of patients with rheumatoid arthritis (RA). These scores include variables obtained on physical examination such as the tender joint count (TJC) and the swollen joint count (SJC). In telematic consultations, it is not possible to determine these variables by physical joint assessment. Therefore, it is necessary to develop new tools that allow detecting joint inflammation in places close to the patient. Thermography is a safe and fast technique that measures heat through infrared imaging. Inflammation of the joints causes an increase in temperature and can therefore be detect by thermography. Machine learning methods are highly accurate in analyzing medical images automatically.

Objectives:

To develop an algorithm that, based on thermographic images of hands and machine learning, learn to quantify joint inflammation in patients with RA and estimate the DAS28, CDAI, SDAI by including the patient global health (PGH).

Methods:

Multicenter observational study conducted in the rheumatology and radiology service of two hospitals. Patients with RA, psoriatic arthritis (PA), undifferentiated arthritis (UA) and arthritis of hands secondary to other diseases (SA) that attended the follow-up visits were recruited. Companions of patients and healthcare professionals were also recruited as healthy subjects (HS). In all cases, a thermographic image of the hands was taken using a Flir One Pro or a Thermal Expert TE-Q1 camera connected to a smartphone. Ultrasound (US) of both hands was performed in patients with RA, PA, UA and SA. The degree of synovial hypertrophy (SH) and power doppler (PD) was assessed for each joint (score from 0 to 3). Machine learning was used to quantify joint inflammation (SH+PD) from the thermal images using US as ground truth. RA patients whose thermal image was taken with the Thermal Expert TE-Q1 camera were used to evaluate the performance (test dataset). The other participants were used as training dataset. The TJC, SJC, PGH, C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were also assessed in the test dataset. A linear regression was used to estimate the DAS28, CDAI and SDAI with the resultant joint inflammation quantification from the thermal images and the PGH. Performance was evaluated by means of Pearson’s correlation coefficient. The study was approved by the Clinical Ethics and Research Committee of both centers.

Results:

The total number of recruited subjects was 521 (422 for the training and 99 for the testing dataset). In the training dataset, the thermography of 296 patients was taken with the Flir One Pro (163 RA, 17 PA, 22 UA, 12 SA and 82 HS) and 126 with the Thermal Expert TE-Q1 camera (6 RA without clinical data, 20 PA, 7 UA, 23 SA and 70 HS).

We found higher correlations between joint inflammation variables (US and SJC) and thermography (0.48, p<0.01 for US and 0.48, p<0.01 for SJC) than between joint inflammation variables (US and SJC) and the PGH (0.29, p<0.01 for US and 0.35, p<0.01 for SJC). Thermography did not show statistically significant correlation with the PGH (0.14, p=0.164). The linear regression of thermography and the PGH showed strong correlation with the DAS28 (0.73, p<0.01), CDAI (0.84, p<0.01) and SDAI (0.82, p<0.01).

Conclusion:

Thermography of hands and machine learning can effectively quantify joint inflammation and can be used in combination with the PGH to estimate disease activity scores. These results open an opportunity to develop tools that facilitate telematic consultations in patients with RA.

References:

[1]Brenner M, Braun C, Oster M, Gulko PS. Thermal signature analysis as a novel method for evaluating inflammatory arthritis activity. Ann Rheum Dis. 2006;65(3):306-11

[2]Lynch CJ, Liston C. New machine-learning technologies for computer-aided diagnosis. Nat Med. 2018;24(9):1304-1305

[3]Tan YK, Hong C, Li H, Allen JC Jr, Thumboo J. Thermography in rheumatoid arthritis: a comparison with ultrasonography and clinical joint assessment. Clin Radiol. 2020;75(12):963

Disclosure of Interests:

None declared.

AB0366 TOCILIZUMAB FOR TAKAYASU ARTERITIS: MULTICENTER STUDY OF 54 WHITE PATIENTS

Background:

Tocilizumab (TCZ) has shown to be effective for large vessel vasculitis including Takayasu arteritis (TAK) (1-3). Most evidence in TAK comes from Asian patients. However, white patients seem to have different clinical and prognostic features.

Objectives:

Our aims were to: a) assess the efficacy and safety of TCZ in white patients with refractory TAK, b) determine if clinical improvement correlates with imaging outcomes, c) compare TCZ in monotherapy (TCZMONO) vs combined with conventional immunosuppressive drugs (TCZCOMBO)

Methods:

Multicenter study of white patients with refractory TAK who received TCZ.Outcomes variables were remission, glucocorticoid-sparing effect, improvement in imaging techniques, and adverse events. A comparative study between patients who received TCZMONO and TCZCOMBO was performed.

Results:

54 patients (46 women/8 men; median age 42.0 [32.5-50.5] years). TCZ was started after 12.0 [3.0-31.5] months since TAK diagnosis. Remission was achieved in 12/54 (22.2%), 19/49 (38.8%), 23/44 (52.3%) and 27/36 (75%) at 1, 3, 6 and 12 months, respectively. Prednisone dose was reduced from 30.0 [12.5-50.0] to 5.0 [0.0-5.6] mg/day at 12 months (Table 1). 10 (26.3%) of the 38 patients in whom an imaging follow-up test was performed showed no radiographic improvement after a median of 9.0 [6.0-14.0] months. 4 of them were in clinical remission.23 (42.6%) patients were on TCZMONO and 31 (57.4%) on TCZCOMBO: MTX (n=28), cyclosporine A (n=2), azathioprine (n=1). Patients on TCZCOMBO were younger (38.0 [27.0-46.0] vs 45 [38.0-57.0] years; p= 0.048), with a trend to longer TAK duration (21.0 [6.0-38.0] vs 6.0 [1.0-23.0] months; p= 0.08) and higher C-reactive protein (2.4 [0.7-5.6] vs 1.3 [0.3-3.3] mg/dL; p=0.16). Despite these differences, similar outcomes were observed in both groups (log rank p=0.862) (Figure 1). Relevant adverse events were reported in 6 (11.1%) patients, but only 3 developed severe events that required TCZ withdrawal.

Table 1.Baselinen=54Month 1N=54Month 3N=49Month 6N=44Month 12N=36Clinical remission, n (%)12 (22.2)19 (38.8)23 (52.3)27 (75.0)Laboratory improvementCRP (mg/dL), median [IQR]1.5 [0.5-3.5]0.2 [0.1-0.7]*0.2 [0.5-0.5]*0.2 [0.1-0.5]*0.1 [0.0-0.4]*ESR (mm/1sthour), median [IQR]30.5 [8.7-52.7]7.0 [3.0-14.0]*4.5 [2.0-8.0]*5.0[2.0-6.0]*4.0 [2.0-9.5]*Hemoglobin (g/dL), mean ± SD12.4 ±1.513.0 ±1.2*13.0 ±1.4*13.2 ±1.5*12.9 ±1.6*Prednisone dose, median [IQR]30.0 [12.5-50.0]20.0 [10.0-30.0]*10.0 [5.0-20.0]*5.0 [5.0-10.5]*5.0 [0.0-5.6]*

CRP: C-Reactive Protein; ESR: Erythrocyte Sedimentation Rate; IQR: interquartile range; n: number. *p<0.01 vs baseline (Wilcoxon test).

Conclusion:

TCZ is effective and safe in white patients with refractory TAK. A discordance between clinical and imaging activity assessment may exist.

References:

[1]Prieto Peña D et al. Clin Exp Rheumatol 2020 Nov 27. PMID: 33253103.

[2]Loricera J, et al. Clin Exp Rheumatol 2016; 34:S44-53. PMID: 27050507.

[3]Calderón-Goercke M, et al. Semin Arthritis Rheum 2019; 49:126-35. PMID: 30655091

Disclosure of Interests:

Diana Prieto-Peña Grant/research support from: DP-P has received research support from UCB Pharma, Roche, Sanofi, Pfizer, AbbVie and Lilly., Pilar Bernabéu: None declared, Paloma Vela-Casasempere: None declared, J. Narváez: None declared, Carlos Fernández-López: None declared, Mercedes Freire González: None declared, Beatriz González-Alvarez: None declared, Roser Solans-Laqué: None declared, Jose Luis Callejas-Rubio: None declared, Norberto Ortego: None declared, Carlos Fernández-Díaz: None declared, Esteban Rubio Romero: None declared, SALVADOR GARCÍA MORILLO: None declared, Mauricio Minguez: None declared, Cristina Fernández-Carballido: None declared, Eugenio de Miguel: None declared, Sheila Melchor: None declared, Eva Salgado-Pérez: None declared, Beatriz Bravo: None declared, Susana Romero-Yuste: None declared, Juan Salvatierra: None declared, Cristina Hidalgo: None declared, Sara Manrique Arija: None declared, C. Romero-Gómez: None declared, Patricia Moya: None declared, Noelia Alvarez-Rivas: None declared, Javier Mendizabal: None declared, Francisco Miguel Ortiz Sanjuan: None declared, I. Pérez de Pedro: None declared, JOSE LUIS ALONSO VALDIVIESO: None declared, Pérez Sánchez Laura: None declared, Roldán Molina Rosa: None declared, Nagore Fernández-Llanio: None declared, Ricardo Gómez de la Torre: None declared, Silvia Suarez: None declared, María Jesús Montesa: None declared, Monica Delgado Sanchez: None declared, J. Loricera: None declared, Belén Atienza-Mateo: None declared, Santos Castañeda: None declared, Miguel A González-Gay Grant/research support from: MAG-G received grants/research supports from Abbvie, MSD, Jansen and Roche and had consultation fees/participation in company sponsored speaker´s bureau from Abbvie, Pfizer, Roche, Sanofi, Lilly, Celgene and MSD, Ricardo Blanco Grant/research support from: RB received grants/research supports from Abbvie, MSD and Roche, and had consultation fees/participation in company sponsored speaker´s bureau from Abbvie, Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma and MSD.

AB0096 IGA VASCULITIS AND IGA NEPHROPATHY SHARE A SIMILAR IL17A ASSOCIATION PATTERN

Background:

IgA vasculitis (IgAV) and IgA nephropathy (IgAN) are inflammatory conditions that share pathogenic and molecular mechanisms [1] and may represent different outcomes of a continuous spectrum of disease [2]. Interleukin (IL)17A has been identified as a common genetic risk locus for several immune-mediated diseases [3, 4].

Objectives:

To determine whether IgAV and IgAN exhibit a different IL17A association pattern.

Methods:

Five IL17A tag polymorphisms (rs4711998, rs8193036, rs3819024, rs2275913 and rs7747909) were genotyped in 388 Caucasian patients with IgAV, 99 patients with IgAN and 1,003 sex and ethnically matched healthy controls.

Results:

No statistically significant differences between patients with IgAV and healthy controls and between patients with IgAN and healthy controls were observed when each IL17A genetic variant was analyzed independently (Table 1). Similarly, IgAV patients exhibited similar genotype and allele IL17A frequencies than those with IgAN (Table 1). Moreover, no genotype or allele differences between IgAV patients who developed nephritis and patients with IgAN were detected. Furthermore, haplotype frequencies were similar in patients with IgAV, IgAV and nephritis and those with IgAN.

Table 1.

Genotype and allele frequencies of IL17A gene in patients with IgA vasculitis, patients with IgA nephropathy and healthy controls.

PolymorphismChangeData set1/11/22/212rs4711998G/AIgAV53.4 (207)38.9 (151)7.7 (30)72.8 (565)27.2 (211)IgAN49.0 (48)42.9 (42)8.2 (8)70.4 (138)29.6 (58)Controls52.7 (529)41.2 (413)6.1 (61)73.3 (1471)26.7 (535)rs8193036T/CIgAV57.0 (221)38.4 (149)4.6 (18)76.2 (591)23.8 (185)IgAN64.3 (63)31.6 (31)4.1 (4)80.1 (157)19.9 (39)Controls60.3 (605)35.2 (353)4.5 (45)77.9 (1563)22.1 (443)rs3819024A/GIgAV44.1 (171)43.3 (168)12.6 (49)65.7 (510)34.3 (266)IgAN39.4 (39)54.5 (54)6.1 (6)66.7 (132)33.3 (66)Controls45.6 (457)44.6 (447)9.9 (99)67.8 (1361)32.2 (645)rs2275913G/AIgAV44.6 (172)43.3 (167)12.2 (47)66.2 (511)33.8 (261)IgAN39.8 (39)53.1 (52)7.1 (7)66.3 (130)33.7 (66)Controls44.8 (449)44.2 (443)11.1 (111)66.8 (1341)33.2 (665)rs7747909G/AIgAV53.9 (209)39.4 (153)6.7 (26)73.6 (571)26.4 (205)IgAN41.1 (39)54.7 (52)4.2 (4)68.4 (130)31.6 (60)Controls53.0 (532)39.4 (395)7.6 (76)72.7 (1459)27.3 (547)

Conclusion:

Our results revealed that IgAV and IgAN share a similar IL17A association pattern.

References:

[1]N Engl J Med 2013;368:2402-14.

[2]Am J Kidney Dis 1988;12:373-7.

[3]Ann Rheum Dis 2014;73:1742-5.

[4]Mediators Inflamm 2018;2018:1395823.

Acknowledgements:

This study was supported by European Union FEDER funds and “Fondo de Investigaciones Sanitarias” (grant PI18/00042) from ‘Instituto de Salud Carlos III’ (ISCIII, Health Ministry, Spain). DP-P is a recipient of a Río Hortega programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CM20/00006]; SR-M is supported by funds of the RETICS Program co-funded by the European Regional Development Fund (ERDF) [grant number RD16/0012/0009]; VP-C is supported by a pre-doctoral grant from IDIVAL [grant number PREVAL 18/01]; BA-M is a recipient of a `López Albo´ Post-Residency Programme funded by Servicio Cántabro de Salud; LL-G is supported by funds of IDIVAL [grant number INNVAL20/06]; RL-M is a recipient of a Miguel Servet type I programme fellowship from the ISCIII, co-funded by the European Social Fund (ESF, `Investing in your future´) [grant number CP16/00033].

Disclosure of Interests:

Diana Prieto-Peña: None declared, Fernanda Genre: None declared, Sara Remuzgo Martinez: None declared, Verónica Pulito-Cueto: None declared, Belén Atienza-Mateo: None declared, Belén Sevilla: None declared, Javier Llorca: None declared, Norberto Ortego: None declared, Leticia Lera-Gómez: None declared, Maite Leonardo: None declared, Ana Peñalba: None declared, Luis Martín-Penagos: None declared, Jose Alberto Miranda-Filloy: None declared, J. Narváez: None declared, LUIS CAMINAL MONTERO: None declared, PAZ COLLADO: None declared, Antonio Fernandez-Nebro: None declared, Gisela Díaz-Cordoves: None declared, Secundino Cigarrán: None declared, Jesús Calviño: None declared, Carmen Cobelo: None declared, Javier Sanchez Perez: None declared, Diego de Argila: None declared, Esteban Rubio-Romero: None declared, MANUEL LEON LUQUE: None declared, Juan María Blanco-Madrigal: None declared, E. Galindez: None declared, Javier Martin Ibanez: None declared, Santos Castañeda: None declared, Ricardo Blanco Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Grant/research support from: Abbvie, MSD and Roche, Miguel A González-Gay Speakers bureau: Pfizer, Abbvie, MSD, Grant/research support from: Pfizer, Abbvie, MSD, Raquel López-Mejías: None declared

AB0264 1-YEAR RESULTS OF A NON-INVASIVE AURICULAR VAGUS NERVE STIMULATION DEVICE IN PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

Despite the clinical benefits of current pharmacological treatments for rheumatoid arthritis (RA), there remains an unmet need for alternative treatment approaches. Initial results of a 12-week proof-of-concept study of non-invasive, vagus nerve stimulation (VNS) of the auricular branch of the vagus nerve from a wearable device to treat RA showed the device to be well-tolerated with significant reductions in the DAS28-CRP and RA disease severity1.

Objectives:

This analysis presents data from the 9-month extension of the original proof-of-concept study.

Methods:

Following the completion of the 12-week proof-of-concept study, responding patients (defined as achieving a reduction in DAS28-CRP of ≥1.2 from baseline and/or achievement of ACR20) were given the option to enroll in a 9-month extension study. Use of the wearable device continued daily for up to 30 minutes as in the first 12 weeks of the study. Alteration of baseline medication and addition of conventional synthetic disease-modifying antirheumatic drugs (DMARDs) and biologic DMARDs were allowed during the extension phase.

Results:

20/27 patients who completed the initial 12-week study met the enrollment criteria for the extension phase; 19 of those patients consented to participate. 4/19 patients (21%) discontinued the extension study due to lack of efficacy (1 patient after 1 month, 2 patients after 3 months, and 1 patient after 6 months in the extension); 15 patients completed the extension phase. 2/15 patients (13%) added biologic therapy to their treatment regimen. Mean DAS28-CRP reduction from baseline to the end of the extension (12 months total) in all patients completing the extension was 2.23 (95% CI: -1.60, -2.86). For patients who did and did not add biologic therapy, mean DAS28-CRP reduction was 2.98 and 2.11, respectively. Individual DAS28-CRP reductions are shown in the figure 1. Mean HAQ-DI reduction from baseline to the end of the extension in all patients was 0.70. 2 non-device related adverse events were reported in the study extension: one related to cornea transplant and one related to dysesthesia. No serious adverse events were reported during the study extension phase.

Conclusion:

Benefits from the use of the wearable device were maintained over longer periods of time from the initial 12-week proof-of-concept study, with few safety concerns as no additional side effects were observed.

References:

[1]Marsal S et al. Non-invasive Vagus Nerve Stimulation Improves Signs and Symptoms of Rheumatoid Arthritis: Results of a Pilot Study [in press]. The Lancet Rheumatol, 2021

Disclosure of Interests:

Sara Marsal Speakers bureau: BMS, Pfizer, UCB, Celgene, Roche, Sanofi, Consultant of: Pfizer, Abbvie, Roche, Celgene, Galapagos, MSD, UCB, BMS, Sanofi, Grant/research support from: Pfizer, Abbvie, Roche, Celgene, MSD, UCB, BMS, Novartis, Janssen, Sanofi, Héctor Corominas: None declared, Juan Jose de Agustin: None declared, Carolina Perez-Garcia: None declared, Maria Lopez Lasanta: None declared, Helena Borrell Paños: None declared, D Reina-Sanz: None declared, Raimón Sanmartí: None declared, J. Narváez: None declared, Clara Franco-Jarava: None declared, Charles Peterfy Speakers bureau: Novartis, Bristol Myers Squibb, Amgen, Consultant of: Multiple companies on behalf of Spire Sciences Inc., Jose Antonio Narvaez: None declared, Vivek Sharma Shareholder of: Nēsos Corp, Employee of: Nēsos Corp, Konstantinos Alataris Shareholder of: Nēsos Corp, Employee of: Nēsos Corp, Mark C. Genovese Shareholder of: Gilead Sciences, Nēsos Corp, Employee of: Gilead Sciences, Matthew Baker Shareholder of: Nēsos Corp, Consultant of: Nēsos Corp

A prospective study of lung disease in a cohort of early rheumatoid arthritis patients

Lung disease is common in patients with rheumatoid arthritis (RA). The onset of lung involvement in RA is not well known. The objective is to describe the features and evolution of lung involvement in early RA, its relationship with disease activity parameters, smoking and treatments. Consecutive patients with early RA without respiratory symptoms were included and tracked for 5 years. Lung assessment included clinical, radiological and pulmonary function tests at diagnosis and during follow-up. Peripheral blood parameters (erythrocyte sedimentation rate, C reactive protein, rheumatoid factor and anti-citrullinated peptide autoantibodies) and scales of articular involvement, such as DAS28-CRP, were evaluated. 40 patients were included and 32 completed the 5-year follow up. 13 patients presented lung involvement in the initial 5 years after RA diagnosis, 3 of them interstitial lung disease. Significant decrease of diffusion lung transfer capacity of carbon monoxide over time was observed in six patients, 2 of them developed interstitial lung disease. DLCO decrease was correlated with higher values of CRP and ESR at diagnosis. Methotrexate was not associated with DLCO deterioration or lung disease development. Subclinical progressive lung disease correlates with RA activity parameters. Smoking status and methotrexate were not associated with development or progression of lung disease.

SAT0133 PILOT CLINICAL STUDY OF A NON-INVASIVE AURICULAR VAGUS NERVE STIMULATION DEVICE IN PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

Despite the clinical benefit of current pharmacological treatments for rheumatoid arthritis (RA), there remains an unmet need for alternative treatment approaches. Vagus nerve stimulation (VNS) via an implanted device has been shown to attenuate RA disease severity in patients resistant to therapy,1as evidenced by a reduction in the DAS28-CRP score following a month of daily stimulation.

Objectives:

This pilot study investigated the safety and efficacy of a wearable (non-invasive) device that attaches to the outer ear to treat RA via electrical stimulation of the auricular branch of the vagus nerve.

Methods:

Patients with active RA (≥4 tender/swollen joints based on a 28-joint count, Disease Activity Score-28 with C-reactive protein (DAS28-CRP) >3.8, active synovitis detected on ultrasound and MRI) and inadequate response to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), or csDMARD and biologic DMARDs (bDMARDs), were enrolled in this open-label study. Patients used the device for up to 30 minutes daily over the course of the 12-week study. The primary endpoint was the change in DAS28-CRP score at Week 12. Secondary endpoints included a safety analysis, proportion of patients achieving ACR20/50/70, the mean change in HAQ-DI and the proportion of patients achieving a HAQ-DI MCID of at least 0.22 over 12 weeks. Additionally, sleep scores were assessed using a visual analogue scale (0-100) at baseline and 12 weeks.

Results:

Thirty patients with active RA were enrolled, of which 27 patients completed the 12-week protocol. Three patients dropped out of the study: two patients decided to seek other treatment and one patient moved out of the country. Data for three additional patients was not included in this dataset as it was still being collected. Of the 24 patients with complete 12-week datasets, 88% were female, the average age was 54.9 years, mean disease duration was 7.3 years, and four patients had an inadequate response to one or two bDMARDs.

The mean change in DAS28-CRP from baseline to Week 12 was -1.43 (p<0.05; Figure 1) and ACR20/50/70 response rates were 58.3%, 37.5%, and 16.7%, respectively (Figure 2). HAQ-DI change from baseline was -0.50 (p<0.05) at 12 weeks, and 15 out of 24 patients achieved an overall HAQ-DI reduction of 0.22 (62.5%). VAS sleep scores were significantly improved over the 12-week study. Scores for trouble falling asleep, awakened by pain at night, and awakened by pain in morning decreased by 64%, 70%, and 60%, respectively (p<0.05, n = 23). Three study adverse events (AEs) were reported: two device related AEs due skin irritation at the earpiece insertion site and one AE due to mucous accumulation in the throat.

Figure 1Figure 2

Average DAS28-CRP is shown for each study visit. Error bars indicate standard error of mean. Percentage of subjects meeting ACR20/50/70 at 12 weeks.

Conclusion:

In this pilot study, auricular stimulation was well tolerated and daily use over 12 weeks attenuated RA disease severity. Further evaluation in larger controlled studies are needed to confirm whether a non-invasive wearable device might offer an alternative approach for the treatment of RA.

References:

[1]Koopman FA, et al. (2016) Vagus nerve stimulation inhibits cytokine production and attenuates disease severity in rheumatoid arthritis. Proc Nat Acad Sci 2016; 113: 8284–9.

Disclosure of Interests:

Sara Marsal: None declared, Héctor Corominas Speakers bureau: Abbvie, Lilly, Pfizer, Roche, Maria Lopez Lasanta: None declared, D Reina-Sanz: None declared, Carolina Perez-Garcia: None declared, Helena Borrell Paños Speakers bureau: Lilly, Novartis, MSD and Janssen, Raimón Sanmartí Speakers bureau: Abbvie, Eli Lilly, BMS, Roche and Pfizer, J. Narváez: None declared, Clara Franco-Jarava: None declared, Jose Antonio Narvaez: None declared, Juan Jose de Agustin: None declared, Vivek Sharma Shareholder of: Vorso Corp., Konstantinos Alataris Shareholder of: Vorso Corp., Mark C. Genovese Grant/research support from: Abbvie, Eli Lilly and Company, EMD Merck Serono, Galapagos, Genentech/Roche, Gilead Sciences, Inc., GSK, Novartis, Pfizer Inc., RPharm, Sanofi Genzyme, Consultant of: Abbvie, Eli Lilly and Company, EMD Merck Serono, Genentech/Roche, Gilead Sciences, Inc., GSK, Novartis, RPharm, Sanofi Genzyme, Matthew Baker Consultant of: Gilead, Vorso, Paid instructor for: Gilead

AB0593 DOES REALLY EXIST MIXED CONNECTIVE TISSUE DISEASE?

Background:

Currently, most authors accept that mixed connective tissue disease (MCTD) is an independent entity, although there are those who argue that it is actually an overlap syndrome or an undifferentiated early phase of another systemic autoimmune disease (SAD).

Objectives:

To analyze the long term evolution of a serie of patients with MCTD.

Methods:

Observational, retrospective and multicenter study in patients with MCTD (diagnostic criteria of Alarcón-Segovia et al),followed for a minimun of 2 years.

Results:

Fifty-five patients (49 women) with a median age at diagnosis of 38±14 years and with a follow up time (median) of 101 months (range, 24-237 months with a total of 501.2 pacients-year) were identified.

At the end of the follow-up period, only 27% (15/55) of the patients kept on fulfilling MCTD criteria. In the remaining 73% (40), 40% (22) had been differentiated to systemic lupus erythematosus (SLE), 13% (7) to systemic sclerosis (SSc) and 20% (11) developed an overlap syndrome [SSc+SLE in 8 cases and SSc+rheumatoid arthritis (AR) in 3]. In 8% of these patients, a secondary Sjögren’s syndrome was diagnosed during the follow-up period. The average score in patients who met the EULAR/ACR 2013 criteria for SSc was 11 (minimum 9 - maximum 16) and the average time elapsed from the diagnosis of MCTD to meet SSc criteria was 64.4 months (interquartile range [IQR] 25-75%: 10-127 months).

Applying the 2012 SLICC criteria, only 24 patients of those initially diagnosed as MCTD ended up meeting SLE criteria. The average score in these patients was 5.6 (4-9) and the average time elapsed from the diagnosis of MCTD unltil fulfilling the SLICC criteria was 39 months (IQR 25-75%: 6-28). When we apply the new ACR/EULAR 2019 criteria, the percentage of patients who meet SLE criteria increased to 30%, with an average score of 17.3 (10-38). The average time elapsed since the diagnosis of MCTD until meeting the new SLE criteria was reduced to 17 months (IQR 25-75: 0-10).

In the multivariate study, the presence of sclerodactyly (OR: 2.91; IC 95% 1.90 - 4.1, p= 0.001) and esophageal involvement (OR: 2.05; IC 95% 1.14–3.66, p=0.016) were associated with the evolution to SSc. Any predictor of evolution to SLE was identified.

Conclusion:

Only slightly more than a quarter of patients initially diagnosed as MCTD maintain this diagnosis during the follow-up. The majority, ended up evolving towards to another SAD, fundamentally SLE and SSc. The new ACR/EULAR 2019 criteria seems to be more sensitive than the SLICC 2012 criteria for diagnose SLE in these patients.

Disclosure of Interests:

L Montolio-Chiva: None declared, J. Narváez: None declared, Maria Pascual: None declared, Hye Sang Park: None declared, Ana V Orenes Vera: None declared, Eduardo Flores: None declared, Juanjo J Alegre-Sancho Consultant of: UCB, Roche, Sanofi, Boehringer, Celltrion, Paid instructor for: GSK, Speakers bureau: MSD, GSK, Lilly, Sanofi, Roche, UCB, Actelion, Pfizer, Abbvie, Novartis, Iván Castellví: None declared, Joan Miquel Nolla: None declared

SAT0075 ABATACEPT IN COMBINATION WITH METOTREXATE IN PATIENTS WITH RHEUMATOID ARTHRITIS ASSOCIATED TO INTERSTITIAL LUNG DISEASE: NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is an extra-articular complication of rheumatoid arthritis (RA) that is associated with increased morbidity and mortality. Conventional disease-modifying drugs (DMARDs) such as methotrexate (MTX) have been implicated in the development and exacerbation of a pre-existing ILD.

Objectives:

The aim of our study was to check the influence of combined MTX treatment in patients with RA-ILD treated with abatacept (ABA).

Methods:

National multicentre retrospective registry of 263 patients with RA-ILD treated with ABA. RA was diagnosed according to the ACR classification criteria of 1987 or by the EULAR/ACR criteria of 2010. ILD was diagnosed by high resolution computed tomography (HRCT). In this study we have done a subanalysis of the 46 patients treated with ABA in combination with MTX (ABA+MTX) vs. 217 patients treated with ABA in monotherapy or in combination with other synthetic DMARDs. Efficacy was evaluated according to the following parameters: a) Dyspnoea (MMRC) considering variations ≥ 1; b) Lung function test (LFT) considering variations ≥ 10% in FVC and a variation of DLCO ≥ 10%; c) Imaging test (HRCT) d) DAS28 score e) prednisone dose. Variables were collected at the beginning of the study and at months 3, 6, 12 and then every 12 months until a maximum of 60 months.

Results:

263 patients with ILD associated with RA were included in the study with mean age 64.64±10 years. RF or CCPA were positive in 235 (89.4%) and 233 (88.6%) cases, respectively, with a mean follow-up of 22.7±19.7 months. Baseline characteristics of both groups are shown in table 1, while data obtained during evolution of this complication are presented in Figure 1.

Conclusion:

Despite the baseline differences of both groups, the good evolution in the ABA+MTX subgroup suggests that this therapeutic strategy can be a safe combination for patients with RA-ILD.

ABA with MTX (n=46)ABA w/t MTX (n=217)PSex (F/M)28/18122/950.625Age (years)65.11±10.216.2±9.80.202RF/CCPA + (%)91.3/91.389.8/90.10.810Smoking or past smoking (%)47.855.10.417Follow-up (months)22.73±18.0022.3±20.850.916DAS28 at baseline4.08±1.514.61±1.470.056DAS28 at last visit3.00±1.463.13±1.310.642Prednisone at baseline, median (IQR) (mg)5 (5-7.5)7.75 (5-15)0.008*Prednisone at the end of study, median (IQR) (mg)5 (1-5)5 (5-7.5)0.032*DLCO at baseline (%)66.85±19.0465.43±18.210.823DLCO at the end of study (%)66.05±20.9565.17±19.720.831FVC at baseline (%)90.06±17.7785.40±21.560.164FVC at the end of study (%)90.58±15,4584.21±21.490.038*

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

, CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, Edilia García-Fernández: None declared, R. López-Sánchez: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD

SAT0523 BIOLOGICAL THERAPY IN REFRACTORY ATYPICAL OPTIC NEURITIS. MULTICENTER STUDY

Background:

Optic Neuritis (ON) is an inflammation of the optic nerve. Its most common presentation is demyelinating typical ON. Atypical ON is rare, severe, non-demyelinating and can be isolated or associated to different diseases including autoimmune diseases. If it is not treated, it can lead to devastating visual results. Conventional treatment includes systemic corticosteroids and conventional immunosuppressants (CIS).

Objectives:

Our aim was to assess the efficacy of biological therapy in atypical ON refractory to conventional treatment.

Methods:

Open-label multicenter study including 19 patients diagnosed with atypical ON refractory to systemic corticosteroids and at least one CIS. The main outcomes assessed were Best Corrected Visual Acuity (BCVA) and optic nerve and ganglionar cells Optical Coherence Tomography (OCT). These outcome variables were recorded at baseline, 1 week, 2 weeks, 1 month, 3 months and 6 months and 1 year after biological therapy onset.

FIGURE

Results:

We studied 19 patients (12 women/7 men); mean age of 34.8 ± 13.9 years. The underlying diseases were idiopathic (n=7), Behçet´s disease (n=5), systemic lupus erythematosus (n=2), neuromyelitis optica (n=3), sarcoidosis (n=1) and relapsing polychondritis (n=1)(TABLE).Before biological therapy and besides systemic corticosteroids, patients had received different CIS. Biological therapy was adalimumab (n=6), rituximab (n=6), infliximab (n=5) and tocilizumab (n=4). After biological therapy, an improvement in ocular parameters was observed: BCVA [0.7±0.3 to 0.8±0.3; p= 0.03], optic nerve OCT [123.2±58.3 to 190.5±175.4; p= 0.11], and ganglionar cells OCT [369.6±137.4 to 270.7±23.2; p= 0.03] at one year(FIGURE). After a mean follow-up of 29.1 ±19.2 months, there were no severe adverse effects observed.

Conclusion:

Biological therapy may be effective in patients with refractory atypical ON.

TABLECaseGender/ AgeUnderlying diseaseLateralityIV steroids dose (g)Maximum prednisone oral dose (g)Conventional immunosuppressantsBiological therapyAdverse effects1F/29IdiopathicUnilateral460AZATCZNo2F/26IdiopathicBilateral5.530AZATCZNo3F/13IdiopathicBilateral-10MTXADANo4F/25IdiopathicBilateral460MTXIFX, TCZNo5F/24IdiopathicBilateral0.560MTX, AZAADANo6M/14IdiopathicBilateral-10MTXADANo7F/30Vasculitis ANCA+Unilateral360AZA, MMF, LFM, CFMRTXYes8M/21BehçetBilateral-60MTX, AZAADANausea Vomits9M/25BehçetUnilateral0.560MTX, CyAADANo10M/39BehçetUnilateral380MTX, MMFIFXNo11M/40BehçetUnilateral-80MMFIFXNo12M/37BehçetUnilateral-60CyAIFXNo13F/68NMOUnilateral2.530CFM, AZARTXNo14F/41NMOUnilateral360CFMRTXInfection15F/43NMOBilateral560AZARTXInfusion reaction16F/56SLEUnilateral-60HCQ, MMF, CFMRTXNo17F/47SLEUnilateral560HCQ, MMFRTXNo18F/43Relapsing polychondritisBilateral360MTX, CFMIFX, TCZNo19M/41SarcoidosisBilateral340AZAADANo

Disclosure of Interests:

Alba Herrero Morant: None declared, Carmen Álvarez Reguera: None declared, Vanesa Calvo del Rio Grant/research support from: MSD and Roche, Speakers bureau: Abbott, Lilly, Celgene, Grünenthal, UCB Pharma, Olga Maíz Alonso: None declared, Ana Blanco Speakers bureau: Abbvie, J. Narváez: None declared, Santos Castañeda: None declared, Esther Vicente Speakers bureau: BMS, Roche., Susana Romero-Yuste: None declared, Rosalía Demetrio-Pablo: None declared, ANA URRUTICOECHEA-ARANA: None declared, J. L. García Serrano: None declared, J. L. Callejas Rubio: None declared, Norberto Ortego: None declared, Julio Sánchez: None declared, Paula Estrada: None declared, Iñigo Rua-Figueroa: None declared, David Martínez-López: None declared, José Luis Martín-Varillas Grant/research support from: AbbVie, Pfizer, Janssen and Celgene, Speakers bureau: Pfizer and Lilly, Miguel Á. González-Gay Grant/research support from: AbbVie, MSD and Roche, Speakers bureau: AbbVie, MSD and Roche, Ricardo Blanco Grant/research support from: Abbvie, MSD and Roche, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen, Lilly and MSD

AB0163 ANTI-KU ANTIBODIES: MUCH MORE THAN SCLEROMYOSITIS

Background:

Initially, anti-Ku antibodies (Ab) were described in patients with overlap syndrome with systemic sclerosis (SSc) and inflammatory myophaty (scleromyositis), although later they have been linked to a wide variety of systemic autoimmune diseases (SAD) questioning its diagnostic value. Recently, the possible existence of 2 different clinical phenotypes associated with these Ab has been described: one with myositis and high risk of intersticial lung disease (ILD) and another with positive anti-dsDNA Ab and glomerulonephritis.

Objectives:

To analyze the clinical relevance and the main diagnosis of a serie of patients with positive anti-Ku Ab.

Methods:

Descriptive observational study of patients with anti-Ku Ab in two third level hospitals between 2011 and 2019. Their determination was made at the criteria of the requesting physician.

Results:

Twenty-three patients (20 women) with a median age of 59 ± 14 years (range, 24-83) and a follow up time (median) of 37 months (1-208) were identified. The main clinical and analytical characteristics, as well as the final clinical diagnosis of these patients are shown in Table 1. In the cluster analysis we could not identify clinical phenotypes, perhaps because of the small sample size. Only 50% of patients with myositis developed ILD. Regarding the final diagnosis, only 1 patient (5%) was diagnosed of scleromyositis. Besides detecting them in patients with SSc (39%) and idiopathic inflammatory myopathy (9%), anti-Ku Ab were detected in other SAD, the most frequent were systemic lupus erythematosus, rheumatoid arthritis (RA) and overlap syndrome of SSc + RA.

Table 1.

Main clinical-analytical manifestations and final diagnosis of pacientes with anti-Ku Ab.

FINAL CLINICAL DIAGNOSiSScleromyositis: 1Idiopahtic inflammatory myopathy: 1Systemic sclerosis (SSc): 6 (Pre-scleroderma: 3, limited SSc: 3).Systemic lupus erythematosus: 2Rheumatoid arthritis: 2Overlap syndrome RA + limited SSc: 2Primary Sjögren’s syndrome: 1 (Secondary Sjögren’s syndrome: 3)Mixed connective tissue disease: 1Polymyalgia rheumatica: 1Undifferentiated connective tissue disease: 1Acute hepatitis due to HEV: 1Autoimmune thrombocytopenia (ITP): 1Drug-induced fibrosing ILD: 1Systemic graft versus host disease (GVHD) in a patient with acute lymphoblastic leukemia who received and autologous haematopoietic progenitor transplant: 1Primary biliary cirrhosis: 1CLINICAL MANIFESTATIONS(patients could have more than one):Raynaud’s phenomenon: 61% (14/23).Inflammatory arthralgia/arthritis: 52% (12).Lung involvement: 30.5% (7: NSIP 3, UIP 2, other patterns 2).Serositis: 26% (6: pericarditis 4, pleuritis 1, pleuropericarditis 1).Cardiac involvement: 26% (6: PHT by echocardiogram 3, myocarditis 2, arrhytmia 1).Dry syndrome: 17% (4)Myositis: 17% (4).Esophageal involvement: 17% (4).Autoimmune cytopenias: leucolinfopenia: 17% (4) / thrombocytopenia: 13% (3).Telangiectasias: 13% (3).Photosensitivity: 13% (3).Other: non-androgenic alopecia: 9% (2); sensory-motor polyneuropathy: 4.5% (1);Puffy hands: 4.5% (1); fever: 4.5% (1); lymphadenitis: 4.5% (1); cold sores: 4.5% (1), and retinal hemorrhage: 4.5% (1).OTHER ASSOCIATED ANTIBODIES:ANA: 91% (21/23)anti Ro60/SSA Ab: 30.5% (7)Anti Ro52 Ab: 30.5% (7)Anti RNP Ab: 22% (5)Anti-dsDNA: 17% (4)Anti-La/SSB Ab: 17% (4)Anticentromer Ab: 17% (4)Anti Mi-2 Ab: 13% (3)Other: anti Sm Ab: 9% (2); anticardiolipin Ab(IgG): 4.5% (1); PM/Scl: 4.5% (1); nucleosomes: 4.5% (1); Scl70: 4.5% (1); PL12: 4.5% (1); anti-U1-RNP: 4.5% (1) and NOR90: 4.5% (1).

Conclusion:

Anti-Ku Ab are related to a great variety of SAD, without being a specific marker of any of them, nor being associated with any specific clinical manifestation. We couldn’t confirm the existence of clinical phenotypes associated with the presence of these antibodies.

Disclosure of Interests:

L Montolio-Chiva: None declared, J. Narváez: None declared, Francisco Morandeira: None declared, Jordi Bas: None declared, Carla Marco: None declared, Xavier González: None declared, Juanjo J Alegre-Sancho Consultant of: UCB, Roche, Sanofi, Boehringer, Celltrion, Paid instructor for: GSK, Speakers bureau: MSD, GSK, Lilly, Sanofi, Roche, UCB, Actelion, Pfizer, Abbvie, Novartis, Eduardo Flores: None declared, I Vázquez-Gómez: None declared, Jose María López: None declared, Joan Miquel Nolla: None declared

THU0297 SERIOUS INFECTIONS IN 134 PATIENTS WITH GIANT CELL ARTERITIS WITH TOCILIZUMAB IN CLINICAL PRACTICE. FREQUENCY, TYPE AND CLINICAL ASSOCIATIONS

Background:

Infections are the most common adverse event of Tocilizumab (TCZ) in Giant Cell Arteritis (GCA). In GiACTA study(1),serious infections were observed in 7% (9.6/100 patient-years) of patients who received TCZ weekly. Randomized clinical trials (RCTs) are conducted under highly standardized design excluding some real-world patients. Therefore, adverse events may be underestimated in RCTs. In our series of real-life, serious infections occurred in 11.9% (10.6/100 patient-years)(2).

Objectives:

In a wide series of GCA of clinical practice treated with TCZ, we assess the frequency, type and predisposing factors of serious infections.

Methods:

Multicenter study of 134 patients diagnosed with GCA, all of them refractory to conventional therapy, treated with TCZ. Serious infection was considered when a life-threatening infection, fatal, or requiring hospitalization occurred, intravenous antibiotics were required, or the infectious process led to persistent or significant disability.

Results:

16 of 134 (11.9%, 10.6/100 patient-years) patients developed serious infections during follow-up. The most frequent infections were pneumonia (n=4), urinary tract infection (n=4), and facial herpes zoster (n=2). At TCZ onset, serious infections were more frequent in older patients (74.3±9.6 vs 72.9±8.7 years), with a longer GCA evolution (20 [4.3-45.6] vs 13 [5-29.3] months), with visual manifestations (43.75% vs 17.8%) and a higher dose of prednisone at TCZ onset (30.4±15.5 vs 21.1±16.1 mg/day) (TABLE). Presence of comorbidities were similar in both groups. 13 of the 16 patients who had infections received a dose of prednisone greater than 15 mg/day (16.3/100 patient-years) compared to 3 patients under treatment with less than 15 mg/day of prednisone (4.2/100 patient-years).

Conclusion:

The age, GCA duration, ocular involvement and the dose of glucocorticoids, at TCZ onset, seem to be predisposing factors related to an increased risk of developing serious infections in GCA patients.

References:

[1]Stone JH, et al. N Engl J Med. 2017; 377:317-28.

[2]Calderón-Goercke M et al. Semin Arthritis Rheum 2019 Aug;49(1): 126-135.

TABLESERIOUS INFECTIONS(n=16)WITHOUT SERIOUS INFECTIONS(n=118)pBASAL FEATURES AT TCZ ONSETGENERAL FEATURES Age, years, mean± SD74.3±9.672.9±8.70.552 Sex, female/male n(%)13/388/300.760 Time from GCA diagnosis to TCZ onset (months), median [IQR]20[4.3-45.6]13[5-29.3]0.604COMORBIDITIES Hypertension, n(%)9(56)86(73)0.551 Diabetes, n(%)3(19)39(33)0.677 Chronic kidney disease, n(%)3(19)27(23)0.512CLINICAL FEATURES OF GCA PMR, n(%)9(56.25)64(54.2)0.879 Aortitis, n(%)5(31.25)53(45)0.301 Visual manifestations, n(%)7(43.75)21(17.8)0.017CORTICOSTEROIDS AT TCZ ONSET Prednisone dose mg/d, mean (SD)30.4±15.521.1±16.10.031

Disclosure of Interests:

Monica Calderón-Goercke: None declared, D. Prieto-Peña: None declared, Santos Castañeda: None declared, Clara Moriano: None declared, Elena Becerra-Fernández: None declared, Marcelino Revenga: None declared, Noelia Alvarez-Rivas: None declared, Carles Galisteo: None declared, Águeda Prior-Español: None declared, E. Galindez: None declared, Cristina Hidalgo: None declared, Sara Manrique Arija: None declared, Eugenio de Miguel Grant/research support from: Yes (Abbvie, Novartis, Pfizer), Consultant of: Yes (Abbvie, Novartis, Pfizer), Paid instructor for: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Speakers bureau: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Eva Salgado-Pérez: None declared, Vicente Aldasoro Speakers bureau: Roche, Abbvie, MSD, UCB, Pfizer, Menarini, Grunenthal, Gebro, Novartis, Janssen, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Susana Romero-Yuste: None declared, J. Narváez: None declared, Catalina Gomez-Arango: None declared, Eva Perez-Pampín: None declared, Rafael Melero: None declared, Francisca Sivera: None declared, Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Alejandro Olive: None declared, María Álvarez del Buergo: None declared, Luisa Marena Rojas: None declared, Carlos Fernández-López: None declared, Francisco Navarro: None declared, Enrique Raya: None declared, Beatriz Arca: None declared, Roser Solans-Laqué: None declared, Arantxa Conesa: None declared, Carlos Vázquez: None declared, Jose Andrés Román-Ivorra: None declared, Pau Lluch: None declared, Paloma Vela-Casasempere: None declared, Carmen Torres-Martín: None declared, Juan Carlos Nieto Speakers bureau: Pfizer, Abbvie, MSD, Novartis, Janssen, Lilly, Nordic Pharma, BMS, Gebro, FAES Farma, Roche, Sanofi, Carmen Ordas-Calvo: None declared, Cristina Luna-Gomez: None declared, Francisco J. Toyos Sáenz de Miera: None declared, Nagore Fernández-Llanio: None declared, Antonio García: None declared, Carmen González-Vela: None declared, Javier García-Fernández: None declared, Patricia Vicente-Gómez: None declared, Ángel García-Manzanares: None declared, Norberto Ortego: None declared, Francisco Ortiz-Sanjuán: None declared, Montserrat Corteguera: None declared, J. Luis Hernández: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

FRI0182 RISK FACTORS ASSOCIATED WITH RENAL INVOLVEMENT IN PRIMARY SJÖGREN’S SYNDROME: DATA FROM THE SPANISH SJÖGRENSER COHORT

Objectives:

To investigate the prevalence, risk factors, and effects of primary renal disease on morbidity and mortality in patients with primary Sjögren’s syndrome (pSS).

Methods:

All patients in the SJÖGRENSER (registry of adult SSp patients of the Spanish Society of Rheumatology, cross-sectional phase) cohort were retrospectively investigated for the presence of clinically significant renal involvement directly related to pSS activity.

Results:

Of the 437 patients investigated, 39 (9%) presented overt renal involvement during follow-up. Severe renal disease necessitating kidney biopsy was relatively rare (23%).

Renal involvement may complicate pSS at any time during the disease course and is associated with severe disease (indicated by higher scores of involvement, activity, and damage), systemic multiorgan involvement, and a higher frequency of lymphoma. Multivariate analysis showed that older age (odds ratio [OR] 1.03, 95% confidence interval [CI] 1.00–1.07), higher European League Against Rheumatism Sjogren’s Syndrome Disease Activity Index scores (OR 1.1, CI 1.03–1.18), serum anti-La/SSB positivity (OR 6.44, CI 1.36–30.37), and non-vasculitic cutaneous involvement (OR 8.64, 1.33–55.90) were independently associated with this complication.

Chronic renal failure developed in 23 of 39 patients (59%); only 1 of them progressed to end-stage renal disease necessitating renal replacement therapy. Patients with renal disease showed higher Sjögren’s syndrome disease damage index scores (SSDDI), higher rates of hospitalization due to disease activity and higher rates of clinically relevant comorbidities.

Conclusion:

Renal involvement is an uncommon complication in pSS that was observed in 9% of patients. Although categorized as a non-negligible comorbidity, this condition shows a favorable prognosis.

Disclosure of Interests:

None declared

SAT0567 USE OF THERMOGRAPHY OF HANDS AND MACHINE LEARNING TO DIFFERENTIATE PATIENTS WITH ARTHRITIS FROM HEALTHY SUBJECTS

Background:

The early diagnosis of rheumatic diseases improves their prognosis. However, patients take several months to reach the rheumatologist from the beginning of the first symptoms. Thermography is a safe and fast technique that captures the heat of an object through infrared photography. The inflammation of the joints causes an increase in temperature and, therefore, can be measured by thermography. Machine learning methods have shown that they are capable of analyzing medical images with an accuracy similar or superior to that of a healthcare professional.

Objectives:

Develop an algorithm that, based on thermographic images of hands and machine learning, differentiates healthy subjects from patients with rheumatoid arthritis (RA), psoriatic arthritis (PA), undifferentiated arthritis (UA) and arthritis of hands secondary to other diseases (SA).

Methods:

Multicenter observational study conducted in the rheumatology and radiology service of two hospitals. Patients with RA, PA, UA and SA who attended the followup visit and healthy subjects (companions and healthcare proffesionals) were recruited. In all cases, a thermal image of the hands was taken using a Flir One Pro or Thermal Expert TE-Q1 camera connected to the mobile and an ultrasound of both hands. The degree of synovial hypertrophy (SH) and power doppler (PD) was assessed for each joint (score from 0 to 3). Inflammation was defined as the presence of SH> 1 or PD> 0. Machine learning was used to classify patients with RA, PA, UA and SA with inflammation evidenced by ultrasound and healthy subjects from thermographic images. The evaluation of the classifier was performed by leave-one-out cross-validation and the area under the ROC curve (AUCROC) in those subjects whose thermal image was performed with the Thermal Expert TE-Q1 camera. The study was approved by the Clinical Ethics and Research Committee of the centers.

Results:

500 subjects were recruited from March 2018 to January 2020, of these 73 were excluded due to poor quality in the thermal image (moved or absence of temperature contrast between hand and background). Of the 427 subjects analyzed, 129 corresponded to healthy subjects, 138 to patients without evidence of inflammation and 160 to patients with inflammation evidenced by ultrasound (116 RA and 44 PA, UA or SA). Of these, 42% were taken using the Thermal Expert TE-Q1 camera. An AUCROC of 0.73 (p-value <0.01) was obtained for the healthy classifier vs RA and 0.72 (p-value <0.01) for the healthy classifier vs PA, UA and SA.

Conclusion:

A classification model has been developed capable of differentiating patients with RA, PA, UA and SA with evidence of inflammation from healthy subjects. These results open an opportunity to develop tools that facilitate early diagnosis.

References:

[1]Barhamain AS, Magliah RF, Shaheen MH, Munassar SF, Falemban AM, Alshareef MM, Almoallim HM. The journey of rheumatoid arthritis patients: a review of reported lag times from the onset of symptoms. Open Access Rheumatol. 2017 Jul 28;9:139-150. doi: 10.2147/OARRR.S138830. eCollection 2017. Review.

[2]Lynch CJ, Liston C. New machine-learning technologies for computer-aided diagnosis. Nat Med. 2018 Sep;24(9):1304-1305. doi: 10.1038/s41591-018-0178-4.

[3]Brenner M, Braun C, Oster M, Gulko PS. Thermal signature analysis as a novel method for evaluating inflammatory arthritis activity. Ann Rheum Dis. 2006 Mar;65(3):306-11.

Disclosure of Interests:

None declared

AB0620 EFFECTIVENESS OF RITUXIMAB IN PATIENTS WITH EARLY DIFFUSE CUTANEOUS SYSTEMIC SCLEROSIS. A MULTICENTER ANALYSIS

Background:

Rituximab (RTX) is effective in improving skin affection in patients with diffuse cutaneous systemic sclerosis (DcSSc). However, there are few data on early use of this drug.

Objectives:

To evaluate RTX effectiveness for skin disease in patients with DcSSc of less than 3 years of evolution.

Methods:

Multicenter, observational and retrospective study. Patients with DcSSc starting RTX within 3 years since first non-Raynaud symptom were recruited. Demographic variables, time of disease duration at the beginning of RTX, immune pattern and time on RTX treatment were collected. Effectiveness was defined as modified Rodnan skin score (mRSS) improvement. Evaluations were done by the same experienced rheumatologist. Patients subjective perception of skin hardening and/or tightness was evaluated. mRSS changes from baseline to 6 and 12 months after RTX beginning and, later on, to the last available observation were analysed using Wilcoxon test. Statistical analysis was performed with SPSS 20.0.

Results:

11 patients (8 women) were recruited from 2 university hospitals. Median age was 48 years (IQR 22). Median time since diagnosis to RTX beginning was 12 months (IQR 8). 5, 3 and 2 patients presented ATA +, RNPIII + and Ro-52 +, respectively. Median duration of RTX treatment was 12 months (IQR 68). Median baseline mRSS was 15.5 (IQR 18). Median mRSS after 6 and 12 months of RTX treatment and at last available mRSS evaluation was 15 (IQR 13), 14.5 (IQR 13) and 11 (IQR 16), respectively. mRSS showed statistically significant improvement at 6 (29%, IQR 37) and 12 months of RTX treatment (35%, IQR 34) and, thereafter, at last available observation (39%, IQR 51), compared to basal mRSS. Most patients reported subjective improvement at 6 (9 of 10 patients) and 12 months (6 of 7), and at last available evaluation (6 of 8); all other patients reported stability.

Conclusion:

In our experience, patients with DcSSc seem to benefit of early RTX treatment. Improvement may be seen as early as 6 months and seems to reach a plateau at 12 months.

Disclosure of Interests:

I Vázquez-Gómez: None declared, J. Narváez: None declared, J Lluch Pons: None declared, Marta Aguilar-Zamora: None declared, L Montolio-Chiva: None declared, Ana V Orenes Vera: None declared, Eduardo Flores: None declared, Elia Valls-Pascual Grant/research support from: Roche, Novartis, and AbbVie, Speakers bureau: AbbVie, Lilly, Pfizer, MSD, Novartis, Janssen, Bristol Myers Squibb, UCB Pharma, Desamparados Ybañez: None declared, À Martínez-Ferrer: None declared, A Sendra-García: None declared, Inmaculada Torner Hernández: None declared, V Núñez-Monje: None declared, Juanjo J Alegre-Sancho Consultant of: UCB, Roche, Sanofi, Boehringer, Celltrion, Paid instructor for: GSK, Speakers bureau: MSD, GSK, Lilly, Sanofi, Roche, UCB, Actelion, Pfizer, Abbvie, Novartis

AB0594 EFFECTIVENESS OF RITUXIMAB IN CSDMARDS-RESISTANT ACTIVE MIXED CONNECTIVE TISSUE DISEASE

Background:

Objectives:

To evaluate rituximab (RTX) effectiveness and safety in treating patients with refractory mixed connective tissue disease (MCTD).

Methods:

Open observational study including patients with refractory MCTD (active disease despite treatment with glucocorticoids and csDMARDs) from two third-level hospitals who had been treated with RTX (off-label use) from January 2001 to December 2019.

Results:

Thirteen patients (all women) were included, with a mean age of 32 years (SD: 10, range 17-50) and a median time of evolution of the disease of 55 months (SD: 34.3; range 5-98 months). The main indication for initiating treatment with RTX was refractory arthritis (100%), most of the times accompanied by other features of the disease including shrinking lung syndrome (2), fibrosing progressive non-specific interstitial pneumonia (FP-NSIP) (1), recurrent serositis (2), glomerulonephritis (GMN) (2), lymphadenitis (1) and immune thrombocytopenic purpura (ITP) (1). All patients were treated with RTX at rheumatoid arthritis dosage while the baseline immunosuppressive treatment (methotrexate, azathioprine, mycophenolate, leflunomide or tacrolimus) remained unchanged. Hydroxychloroquine was also associated in 8 of the patients. The follow-up time (median) after starting RTX was 118 months (range, 65-177 months, with a total of 132.6 patient-years of follow-up) and the mean number of cycles of treatment was 4.2 (range, 1-15), with a variable interval (from 6 to 12 months). After the first RTX cycle, a partial or complete response was achieved in 92% of the patients. A significant improvement in the mean DAS28-ESR was observed (initial: 4.56 ± 1.6 / final: 2.21 ± 0.85; p=0.008). In all but one patient, who had previously failed to 2 anti-TNFα DAS28-ESR clinical remission or low activity was achieved, generally from week 16 to 20, although relapses were frequent and all cases need retreatment after 6-9 months. In 4 patients, RTX retreatment dosage was optimized to 1 g/cycle. The 3 patients with pulmonary involvement showed stabilization (2 cases) or improvement (1) of the lung function(as defined by the American Thoracic Society). In patients with GMN, renal response to RTX treatment was complete in a patient and partial in the other. The patient with ITP entered remission after the first RTX cycle and no more cycles were needed. Response in patients with serositis and lymphadenitis was also complete and maintained. Moreover, the glucocorticoid doses were reduced to less than half of the initial dose in all cases. At the end of the follow-up, 7 out of the 13 patients (54%) were still being treated with RTX. For the remaining 6 patients, RTX was withdrawn because of primary failure (1), recurrent bacterial infections (2), gestational desire (2) sustained remission (1).

Conclusion:

According to our preliminary results, RTX seems to be effective and relatively safe in patients with csDMARDs-resistant active MCTD.

Disclosure of Interests:

L Montolio-Chiva: None declared, J. Narváez: None declared, Juanjo J Alegre-Sancho Consultant of: UCB, Roche, Sanofi, Boehringer, Celltrion, Paid instructor for: GSK, Speakers bureau: MSD, GSK, Lilly, Sanofi, Roche, UCB, Actelion, Pfizer, Abbvie, Novartis, J Lluch Pons: None declared, Ana V Orenes Vera: None declared, I Vázquez-Gómez: None declared, Maribel Mora: None declared, Xavier González: None declared, Carla Marco: None declared, Jesús Rodriguez: None declared, Montserrat Romera: None declared, Joan Miquel Nolla: None declared

SAT0270 TOCILIZUMAB IN REFRACTORY TAKAYASU ARTERITIS. OPEN-LABEL NATIONAL MULTICENTER STUDY OF 53 PATIENTS OF CLINICAL PRACTICE

Background:

Tocilizumab (TCZ) was recently approved for Takayasu Arteritis (TAK) in Japan based on the results of the TAKT trial(1).However, data in clinical practice in Europe and America are scarce(2).

Objectives:

To assess efficacy and safety of TCZ in TAK of clinical practice in Spain.

Methods:

Observational, open-label multicentre study of 53 TAK patients treated with TCZ due to refractoriness or adverse events of previous therapy. Outcomes variables were improvement of clinical features, acute phase reactants and glucocorticoid-sparing effect.

Results:

53 patients (46w/7m); mean age, 40.6±14.6 years at TCZ onset. TCZ was started after a median of 12 [3.0-48.0] months from TAK diagnosis. In addition to systemic corticosteroids and before TCZ they received conventional immunosuppressant drugs (n=42) and biologic therapy (n=14). TCZ was prescribed as standard I.V. (n=42; 79.2%) or subcutaneous (n=11; 20.8%). The initial dose was 8 mg/kg/IV/4 weeks or 162 mg/SC/week, respectively. TCZ was used in monotherapy or combined with immunosuppressants (n=32; 60.4%): methotrexate (n=27), azathioprine (n=2), cyclosporine (n=3). Main clinical features at TCZ onset were: malaise (n=30),limb claudication (n=22), headache (n=18), fever (n=14), abdominal pain (n=10), and chest pain (n=9). Most of the patients experienced a rapid and maintained clinical, analytical improvement(TABLE).After a median follow-up of 18.0 [7.0-45.0] months, TCZ was discontinued in 20 patients due to: sustained remission (n=6), relapse (n=6), adverse event (n=5), gestation (n=3). Most relevant adverse side effects were serious infections: pneumonia (n=2), herpes zoster (n=1), abdominal sepsis (n=1).

Table.Basal(N=53)Month 1(N=53)Month 3(N=46)Month 6(N=44)Month 12(N=34)Clinical improvement, n/N(%)Complete17/53 (32.1)19/46 (41.3)23/44 (52.3)26/34 (76.5)Partial30/53 (54.6)26/46 (56.5)18/44 (40.9)8/34 (23.5)No improvement6/53 (11.3)1/46 (2.2)3/44 (6.8)0/34 (0.0)Analytical markers,ESR (mm/1sth),median [IQR]35.0 [16.0-52.0]7.5 [3.0-14.0] *3.5 [2.0-8.0]*5.0[2.0-6.0]*5.0 [2.0-8.5]*CRP (mg/dL),median [IQR]1.7 [0.6 -3.5]0.21 [0.05-0.6]*0.14 [0.05-0.5]*0.14 [0.04-0.4]*0.10 [0.03-0.30]*Hb (g/dL),mean±SD12.3±1.512.8±1.2*12.9±1.3*12.9±1.4*12.9±1.4*Prednisone dose (mg/day),median [IQR]30.0 [15.0-50.0]20.0 [10.0-37.5]*10.0 [5.0-20.0]*5.0 [5.0-12.5]*5.0 [0.0-7.5]*

*Wilcoxon test p < 0.001.

Conclusion:

TCZ appears to be effective and safe in patients with refractory TAK in clinical practice.

References:

[1]Nakaoka Y et al. Ann Rheum Dis. 2018;77:348-354

[2]Loricera J et al. Clin Exp Rheumatol. 2016; 34: S44-53.

Disclosure of Interests:

D. Prieto-Peña: None declared, Monica Calderón-Goercke: None declared, Pilar Bernabéu: None declared, Paloma Vela-Casasempere: None declared, J. Narváez: None declared, Carlos Fernández-López: None declared, Mercedes Freire González: None declared, Beatriz González-Alvarez: None declared, Roser Solans-Laqué: None declared, Jose Luis Callejas-Rubio: None declared, Norberto Ortego: None declared, Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Esteban Rubio Romero: None declared, SALVADOR GARCÍA MORILLO: None declared, Mauricio Minguez: None declared, Cristina Fernández-Carballido Consultant of: Yes, I have received fees for scientific advice (Abbvie, Celgene, Janssen, Lilly and Novartis), Speakers bureau: Yes, I have received fees as a speaker (Abbvie, Celgene, Janssen, Lilly, MSD, Novartis), Eugenio de Miguel Grant/research support from: Yes (Abbvie, Novartis, Pfizer), Consultant of: Yes (Abbvie, Novartis, Pfizer), Paid instructor for: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Speakers bureau: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Sheila Melchor: None declared, Eva Salgado-Pérez: None declared, Beatriz Bravo: None declared, Susana Romero-Yuste: None declared, J Salvatierra: None declared, Cristina Hidalgo: None declared, Sara Manrique Arija: None declared, C. Romero-Gómez: None declared, Patricia Moya: None declared, Noelia Alvarez-Rivas: None declared, Javier Mendizabal: None declared, Francisco Miguel Ortiz Sanjuan: None declared, I. Pérez de Pedro: None declared, Javier Loricera: None declared, Santos Castañeda: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, Roche, Consultant of: Abbvie, Eli Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma and MSD, Speakers bureau: Abbvie, Eli Lilly, Pfizer, Roche, Bristol-Myers, Janssen, UCB Pharma. MSD

THU0307 RESPONSE OF BEHÇET’S REFRACTORY ORAL AND/OR GENITAL ULCERS TO APREMILAST IN COMBINATION VS MONOTHERAPY. NATIONAL MULTICENTER STUDY OF 51 CASES OF CLINICAL PRACTICE

Background:

Apremilast (APR) has demonstrated efficacy in the treatment of oral and/or genital aphthous ulcers in Behçet´s disease (BD). Combination of APR to other disease-modifying anti-rheumatic drugs (DMARDs) has not been assessed.

Objectives:

To compare the efficacy and safety of APR in monotherapy or combined with DMARDs in refractory BD.

Methods:

National multicenter open-label study on 51 BD patients with oral and/or genital ulcers refractory to conventional treatment.

Results:

We included 51 patients (35 women/16 men), mean age 44.7±13.2 years. Before APR, all patients had received several systemic conventional drugs. The main clinical symptoms for starting APR were oral (n=19) and genital (2) aphthous ulcers or both (30).

Excluding corticosteroids, colchicine or NSAIDs, APR was given at standard dose of 30 mg twice daily in monotherapy (n=31), or combined with conventional DMARDs in 16 cases (6 azathioprine, 5 methotrexate, 4 hydroxychloroquine, 4 sulfasalazine, 1 dapsone) or with biologic DMARDs in 4 (2 tocilizumab, 1 adalimumab, 1 infliximab). There were not found statistically significant differences in demographic features, previous therapy, clinical manifestations or reported adverse effects.

After a median follow-up of 6 [3-12] months, most of the patients experienced improvement of the orogenital ulcers in both groups (89.8% in the first 2 weeks), without statistically significant differences.(TABLE)

Conclusion:

APR leads to a rapid and maintained improvement in most patients with refractory BD orogenital ulcers. APR seems as effective and safe in monotherapy as combined.

TABLE:Week 1-2Week 4Month 6Month 12Month 24Outcome of oral and/or genital ulcers n, (%)Cn=19Mn=30Cn=19Mn=26Cn=12Mn=17Cn=7Mn=6Cn=1Mn=1 Complete resolution8 (42.1)11 (36.7)12 (63.2)20 (77)7 (58.4)14 (82.4)3 (42.8)3 (50)1 (100)1 (100) Partial resolution9 (47.4)16 (53.4)7 (36.8)3 (11.5)5 (41.6)2 (11.7)4 (57.2)3 (50)00 No response2 (10.5)3 (9.9)03 (11.5)01 (5.9)0000p value0.90.10.10.80.7

Abbreviations: C= combined; M= monotherapy; n= available data.

Disclosure of Interests:

Alba Herrero Morant: None declared, Belen Atienza Mateo: None declared, J. Loricera: None declared, Vanesa Calvo del Rio Grant/research support from: MSD and Roche, Speakers bureau: Abbott, Lilly, Celgene, Grünenthal, UCB Pharma, José Luis Martín-Varillas Grant/research support from: AbbVie, Pfizer, Janssen and Celgene, Speakers bureau: Pfizer and Lilly, Jenaro Graña: None declared, Gerard Espinosa: None declared, Clara Moriano: None declared, Trinidad Pérez Sandoval: None declared, Manuel Martín Martínez: None declared, Elvira Diez: None declared, María Dolores García-Armario: None declared, Esperanza Martínez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, Patricia Moya Alvarado: None declared, Francisca Sivera: None declared, Jaime Calvo Grant/research support from: Lilly, UCB, Consultant of: Abbvie, Jansen, Celgene, Isabel de la Morena: None declared, Francisco Ortiz Sanjuán: None declared, José Andrés Román Ivorra: None declared, Ana Pérez Gómez: None declared, Sergi Heredia: None declared, Alejandro Olive: None declared, Águeda Prior: None declared, Carolina Díez: None declared, Juanjo J Alegre-Sancho Consultant of: UCB, Roche, Sanofi, Boehringer, Celltrion, Paid instructor for: GSK, Speakers bureau: MSD, GSK, Lilly, Sanofi, Roche, UCB, Actelion, Pfizer, Abbvie, Novartis, D Ybáñez-García Speakers bureau: Lilly, Roche, Sanofi, Ángels Martínez-Ferrer: None declared, J. Narváez: None declared, Ignasi Figueras: None declared, Ana Isabel Turrión: None declared, Susana Romero-Yuste: None declared, Pilar Trénor: None declared, Soledad Ojeda Speakers bureau: AMGEN, LILLY, GEBRO, Miguel Á. González-Gay Grant/research support from: AbbVie, MSD and Roche, Speakers bureau: AbbVie, MSD and Roche, Ricardo Blanco Grant/research support from: Abbvie, MSD and Roche, Consultant of: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen and MSD, Speakers bureau: Abbvie, Pfizer, Roche, Bristol-Myers, Janssen, Lilly and MSD

OP0033 OPTIMIZATION OF TOCILIZUMAB THERAPY IN GIANT CELL ARTERITIS. A MULTICENTER REAL-LIFE STUDY OF 134 PATIENTS

Background:

Tocilizumab (TCZ) is the only biological agent approved in Giant Cell Arteritis (GCA). There is general agreement on the initial and the standard maintenance dose of TCZ. However, information on duration and optimization of TCZ in GCA is scarce.

Objectives:

Our aim was to assess efficacy and safety of TCZ therapy optimization in an unselected wide series of GCA in clinical practice.

Methods:

Multicenter study, 134 patients with GCA who received TCZ due to inefficacy/adverse events of previous therapy. Once complete remission was reached and based on a shared decision between patient and physician TCZ was optimized in some cases. Optimization was done by decreasing the dose and/or prolonging the TCZ dosing interval progressively.

Results:

134 GCA patients treated with TCZ (101w/33m); mean age 73.0±8.8 years. TCZ was administered IV to 106 (79.1%) patients and SC to 28 (20.9%). TCZ was optimized in 43 (32.1%) patients. No demographic, clinical manifestations or laboratory data differences had been found at TCZ onset (TABLE). After a follow up of 12 [6-15.5] months, and a complete remission for 6 [3-12] months; the first TCZ optimization was performed. Median prednisone dose at first TCZ optimization was 2.5 [0-5] mg/day. TCZ IV was optimized from 8 to 4 mg/kg/4weeks in 12 of 106 (11.3%) and from 162 mg/SC/week to 162 mg/SC/2weeks in 9 of 28 (32.1%) cases. Five (11.6%) of the 43 optimized cases relapsed. In 4 cases, the relapses were treated increasing TCZ up to the pre-optimization dose, in 1 case the route of administration was change (4 mg/kg/4week to 162 mg/SC/week). In 8 of 43 optimized patients (18.6%), it was possible to withdraw TCZ after complete remission for 30 [16.25-45.75] months. Regarding adverse events and severe infections were similar in both groups. The mean TCZ treatment costs were lower in the optimized group.

Conclusion:

Once remission is reached in GCA patients under TCZ treatment, optimization of TCZ may be performed. Based on our experience it could be performed by reducing the dose with IV TCZ or by prolonging dosing interval with SC TCZ.

References:

[1]Calderón-Goercke M et al. Semin Arthritis Rheum 2019 Aug;49(1): 126-135.

TABLE.OPTIMIZED-TCZ GROUP (n=43)NON-OPTIMIZED TCZ GROUP (n=91)pBASAL FEATURES AT TCZ ONSETGENERAL FEATURESAge, years, mean± SD68.9±8.771.4±8.50.125Sex, female/male n(%)32/1068/240.779Time from GCA diagnosis to TCZ onset (months), median [IQR]19.5[7.75-45]10.5[4 – 25]0.047SYSTEMIC MANIFESTATIONSFever, n(%)1(2.4)8(8.7)0.176Constitutional syndrome, n(%)11(26.2)19(20.7)0.476PMR, n(%)18(42.9)56(60.9)0.052ISCHEMIC MANIFESTATIONSVisual involvement, n(%)5(11.9)23(25)0.084Headache, n(%)26(61.9)42(45.7)0.081Jaw claudication, n(%)1(2.4)11(12)0.072CORTICOSTEROIDS AT TCZ ONSETPrednisone dose, mg/d mean (SD)15.1±11.125±17.40.001FOLLOW-UP ON TCZ THERAPY (MONTHS), MEDIAN [IQR]24[18-27]6 [3-18]0.000Relapses, n(%)5(11.6)5(5.5)0.207End follow-up remission, n(%)40(93)84(92)0.99Severe side efects, n(%)14(32.6)22(24.2)0.307Seriuos infections, n(%)6(14)10(11)0.878Cost, (mean) euros per yearIVSC7 538.47 329.011 726.411 726.4--

Disclosure of Interests:

Monica Calderón-Goercke: None declared, D. Prieto-Peña: None declared, Santos Castañeda: None declared, Clara Moriano: None declared, Elena Becerra-Fernández: None declared, Marcelino Revenga: None declared, Noelia Alvarez-Rivas: None declared, Carles Galisteo: None declared, Águeda Prior-Español: None declared, E. Galindez: None declared, Cristina Hidalgo: None declared, Sara Manrique Arija: None declared, Eugenio de Miguel Grant/research support from: Yes (Abbvie, Novartis, Pfizer), Consultant of: Yes (Abbvie, Novartis, Pfizer), Paid instructor for: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Speakers bureau: yes (AbbVie, Novartis, Pfizer, MSD, BMS, UCB, Roche, Grunental, Janssen, Sanofi), Eva Salgado-Pérez: None declared, Vicente Aldasoro Speakers bureau: Roche, Abbvie, MSD, UCB, Pfizer, Menarini, Grunenthal, Gebro, Novartis, Janssen, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Susana Romero-Yuste: None declared, J. Narváez: None declared, Catalina Gomez-Arango: None declared, Eva Perez-Pampín: None declared, Rafael Melero: None declared, Francisca Sivera: None declared, Alejandro Olive: None declared, María Álvarez del Buergo: None declared, Luisa Marena Rojas: None declared, Carlos Fernández-López: None declared, Francisco Navarro: None declared, Enrique Raya: None declared, Beatriz Arca: None declared, Roser Solans-Laqué: None declared, Arantxa Conesa: None declared, Carlos Vázquez: None declared, Jose Andrés Román-Ivorra: None declared, Pau Lluch: None declared, Paloma Vela-Casasempere: None declared, Carmen Torres-Martín: None declared, Juan Carlos Nieto Speakers bureau: Pfizer, Abbvie, MSD, Novartis, Janssen, Lilly, Nordic Pharma, BMS, Gebro, FAES Farma, Roche, Sanofi, Carmen Ordas-Calvo: None declared, Cristina Luna-Gomez: None declared, Francisco J. Toyos Sáenz de Miera: None declared, Nagore Fernández-Llanio: None declared, Antonio García: None declared, J. Luis Hernández: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

SAT0035 RESPONSE TO ABATACEPT OF DIFFERENT PATTERNS OF INTERSTITIAL LUNG DISEASE IN RHEUMATOID ARTHRITIS: NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is a severe extraarticular manifestation of rheumatoid arthritis (RA). In this line, several radiological patterns of RA-ILD have been described: i) usual interstitial pneumonia (UIP), ii) nonspecific interstitial pneumonia (NSIP), iii) obliterating bronchiolitis, iv) organized pneumonia and mixed patterns. Abatacept (ABA) could be an effective and safe option for patients with RA-ILD, although the response in the different radiological patterns is not well defined.

Objectives:

Our aim was to assess the response to ABA in different radiological patterns of ILD.

Methods:

Observational retrospective multicenter study of RA-ILD treated with ABA. ILD was diagnosed by HRCT and classified by radiological patterns in 3 different subgroups of RA-ILD: a) UIP, b) NSIP and c) “other”. ABA was used sc. or iv. at standard dose. We assessed: a) Dyspnoea (MMRC scale; significant variation ≥1); b) Respiratory function tests (significant changes ≥10% in FVC and DLCO); c) HRCT imaging; d) DAS28 e)prednisone dose.

Variables were collected at months 0, 3, 6, 12 months and subsequently every 12 months until a maximum of 60 months.

Results:

We included 263 patients: 106 UIP, 84 NSIP and 73 others (150 women / 113 men), mean age 64.64±10 years. Total patients positive for RF or CCPA were 235 (89.4%) and 233 (88.6%), respectively. In 26 out of 263 patients, the development of ILD was closely related to the administration of sDMARDs (MTX n = 11 and LFN n = 1) or bDMARDs (ETN n = 5, ADA n = 4, CZP n = 2 and IFX n = 3). Patient characteristics are shown in table 1. Figure 1 shows the evolution of the cases with available data after a mean follow-up of 22.7±19.7 months. Mean DLCO and FVC remained stable in the 3 groups without statistically significant changes, and all the groups showed a statistically significant reduction in DAS28 and prednisone dose.

Conclusion:

ABA could be a good choice of treatment in patients with RA-ILD independently of the radiological pattern of ILD.

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

, CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, R. López-Sánchez: None declared, Edilia García-Fernández: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

OP0212 ABATACEPT IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH RHEUMATOID ARTHRITIS. NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is a severe complication of Rheumatoid Arthritis (RA). Several conventional disease-modifying anti-rheumatic drugs (cDMARDs) and biologic (b) DMARDs may induce or impaired ILD-RA. Abatacept (ABA) may be useful in ILD-RA (1).

Objectives:

To assess the efficacy and safety of ABA in a large series of ILD-RA for a long-term follow-up.

Methods:

Multicenter open-level study of ILD-RA treated with at least 1 dose of ABA. ILD was diagnosed by high-resolution computed tomography (HRTC). We study these outcomes: a) 1-point change Modied Medical Research Council (MMRC); b) forced vital capacity (FVC) and/or DLCO improvement or decline ≥10%; c) change in HRCT, d) change in DAS28. e) Prednisone dose. Values were collected at 0, 3, 6, 12 and then every 12 months.

Results:

We studied 263 patients (150 women/113 men) (mean age;64.6±10 years), with ILD-RA. At ABA-onset they were smokers or exsmoker (53.8%), positive APCC (88.6%), median [IQR] duration of ILD of 12 [3-41.25] months, mean DLCO (65.7±18.3) and FVC (85.9±21.8).

The ILD-pattern were usual interstitial pneumonia (UIP) (40.3%), non-specific interstitial pneumonia (NSIP) (31.9%) and others (27.8%).

ABA was prescribed at standard subcutaneous (125 mg/w) in 196 (74.5%) or intravenously (10 mg/kg/4 w) in 67 (25.5%); in monotherapy (n=111) or combined with cDMARDs (n=152); especially leflunomide (n=55), MTX (n=46), or antimarials (n=21).

After a mean follow-up of 22.7±19.7 months most outcomes remain stable (Figure). Moreover, DAS28 improved from 4.5±1.5 to 3.1±1.3; prednisone dose reduced from a median 7.5 [5-10] to 5 mg [5-7.5] and retention rate was 76.4%. The main adverse effects were serious infections (n=28), neoplasia (n=3), serious infusion reaction (n=1) and myocardial infarction (n=1).

Conclusion:

ABA seems effective and relatively safe in ILD-RA.

References:

[1]Fernández-Díaz C et al. Semin Arthritis Rheum. 2018; 48:22-27

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, Edilia García-Fernández: None declared, R. López-Sánchez: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

Differences in clinical manifestations and increased severity of systemic lupus erythematosus between two groups of Hispanics: European Caucasians versus Latin American mestizos (data from the RELESSER registry)

Background

Systemic lupus erythematosus (SLE) is regarded as a prototype autoimmune disease because it can serve as a means for studying differences between ethnic minorities and sex. Traditionally, all Hispanics have been bracketed within the same ethnic group, but there are differences between Hispanics from Spain and those from Latin America, not to mention other Spanish-speaking populations.

Objectives

This study aimed to determine the demographic and clinical characteristics, severity, activity, damage, mortality and co-morbidity of SLE in Hispanics belonging to the two ethnic groups resident in Spain, and to identify any differences.

Methods

This was an observational, multi-centre, retrospective study. The demographic and clinical variables of patients with SLE from 45 rheumatology units were collected. The study was conducted in accordance with Good Clinical Practice guidelines. Hispanic patients from the registry were divided into two groups: Spaniards or European Caucasians (EC) and Latin American mestizos (LAM). Comparative univariate and multivariate statistical analyses were carried out.

Results

A total of 3490 SLE patients were included, 90% of whom were female; 3305 (92%) EC and 185 (5%) LAM. LAM patients experienced their first lupus symptoms four years earlier than EC patients and were diagnosed and included in the registry younger, and their SLE was of a shorter duration. The time in months from the first SLE symptoms to diagnosis was longer in EC patients, as were the follow-up periods. LAM patients exhibited higher prevalence rates of myositis, haemolytic anaemia and nephritis, but there were no differences in histological type or serositis. Anti-Sm, anti-Ro and anti-RNP antibodies were more frequently found in LAM patients. LAM patients also had higher levels of disease activity, severity and hospital admissions. However, there were no differences in damage index, mortality or co-morbidity index. In the multivariate analysis, after adjusting for confounders, in several models the odds ratio (95% confidence interval) for a Katz severity index >3 in LAM patients was 1.45 (1.038–2.026; p = 0.02). This difference did not extend to activity levels (i.e. SLEDAI >3; 0.98 (0.30–1.66)).

Conclusion

SLE in Hispanic EC patients showed clinical differences compared to Hispanic LAM patients. The latter more frequently suffered nephritis and higher severity indices. This study shows that where lupus is concerned, not all Hispanics are equal.

Replication of PTPRC as genetic biomarker of response to TNF inhibitors in patients with rheumatoid arthritis

Genetic biomarkers could be useful for orienting treatment of patients with rheumatoid arthritis (RA), but none has been convincingly validated yet. Putative biomarkers include 14 single nucleotide polymorphisms that have shown association with response to TNF inhibitors (TNFi) in candidate gene studies and that we assayed here in 755 RA patients. Three of them, in the PTPRC, IL10 and CHUK genes, were significantly associated with response to TNFi. The most significant result was obtained with rs10919563 in PTPRC, which is a confirmed RA susceptibility locus. Its RA risk allele was associated with improved response (B=0.33, P=0.006). This is the second independent replication of this biomarker (P=9.08 × 10(-8) in the combined 3003 RA patients). In this way, PTPRC has become the most replicated genetic biomarker of response to TNFi. In addition, the positive but weaker replication of IL10 and CHUK should stimulate further validation studies.

Analysis of disease activity and response to treatment in a large Spanish cohort of patients with systemic lupus erythematosus

Objectives

The objectives of this paper are to study the impact of disease activity in a large cohort of patients with systemic lupus erythematosus (SLE) and estimate the rate of response to therapies.

Methods

We conducted a nationwide, retrospective, multicenter, cross-sectional cohort study of 3658 SLE patients. Data on demographics, disease characteristics: activity (SELENA-SLEDAI), damage, severity, hospitalizations and therapies were collected. Factors associated with refractory disease were identified by logistic regression.

Results

A total of 3658 patients (90% female; median SLE duration (interquartile range): 10.4 years (5.3–17.1)) were included. At the time of their last evaluation, 14.7% of the patients had moderate-severe SLE (SELENA-SLEDAI score ≥6). There were 1954 (53.4%) patients who were hospitalized for activity at least once over the course of the disease. At some stage, 84.6% and 78.8% of the patients received glucocorticoids and antimalarials, respectively, and 51.3% of the patients received at least one immunosuppressant. Owing to either toxicity or ineffectiveness, cyclophosphamide was withdrawn in 21.5% of the cases, mycophenolate mofetil in 24.9%, azathioprine in 40.2% and methotrexate in 46.8%. At some stage, 7.3% of the patients received at least one biologic. A total of 898 (24.5%) patients had refractory SLE at some stage. Renal, neuropsychiatric, vasculitic, hematological and musculoskeletal involvement, a younger age at diagnosis and male gender were associated with refractory disease.

Conclusions

A significant percentage of patients have moderately-to-severely active SLE at some stage. Disease activity has a big impact in terms of need for treatment and cause of hospitalization. The effectiveness of the standard therapies for reducing disease activity is clearly insufficient. Some clinical features are associated with refractory SLE.