SAT0097 DO COMORBIDITIES IMPACT PERSISTENCE OF FIRST TUMOR NECROSIS FACTOR INHIBITOR TREATMENT IN RHEUMATOID ARTHRITIS? DATA FROM TURKBIO

Background:

Studies indicate that patients with rheumatoid arthritis (RA) are at increased risk of developing several comorbid disorders. Comorbidities affect treatment decisions, the effectiveness of the treatment, quality of life, RA prognosis, and survival rate [1].

Objectives:

The aim of thisstudyto investigate the impact of comorbidity on the first TNF inhibitor treatment persistence in RA.

Methods:

In the TURKBIO database, patients with an ICD 10-diagnosis of RA (M05 or M06) who started TNF inhibitor therapy between January 2011 and June 2019 were enrolled. Demographic and clinical characteristics, acute phase reactants, disease activity scores (DAS 28 CRP, HAQ, CDAI, VAS global), initial comorbidities and numbers, drug persistence, were evaluated. Kaplan-Meier plots and Cox proportional hazard regression analyses were performed.

Results:

A total of 1172 patients >18 years of age treated with TNF-α inhibitors were included in the study. The most prevalent comorbidities were: hypertension in 262 patients (32.6%), obesity in 254 (32.6%), osteoporosis in 178 (22.3%), chronic lung disease in 143 (17.9%) and depression in 126 (15.8%). The baseline characteristics are summarised in Table 1. The presence of comorbidity did not affect the survival rate of the first TNF inhibitor therapy in the RA patients (p: 0.65). Comorbidities had no effect on DAS28 CRP (> 1.2 reduction) responses at 6 and 12 months of treatment (p: 0.18, p: 0.83, respectively). As the mean disease duration increases, the persistence of the first TNF inhibitor decreases by 5%.

Conclusion:

This study demonstrated the increasing burden of comorbidities in RA. However, it suggested that the presence and number of comorbidities did not influence the rate of persistence in the first TNF inhibitor drug and the response to treatment.

References:

[1] Gabriel, S.E. and K. Michaud,Epidemiological studies in incidence, prevalence, mortality, and comorbidity of the rheumatic diseases.Arthritis research & therapy, 2009.11(3): p. 229.

Disclosure of Interests:

None declared

FRI0491 IS THERE A RELATIONSHIP BETWEEN VOGT-KOYANAGI-HARADA AND INFLAMMATORY RHEUMATOLOGICAL DISEASES

Background:

Vogt-Koyanagi-Harada Disease (VKHD) is a systemic autoimmune disease characterized by bilateral granulomatous panuveitis associated with systemic symptoms, including neurological, dermatological and audiovestibular systems. Due to its systemic nature, it may accompany with other autoimmune conditions. However, there is a considerably limited number of reports on the association of VKHD and rheumatologic diseases.

Objectives:

To investigate the relationship between VKHD and inflammatory rheumatological diseases.

Methods:

Patients who had bilateral granulomatous uveitis and fulfilled the 2001 revised diagnostic criteria for VKHD were included in our study. All patients were systematically reviewed in terms of the presence of any rheumatological manifestations including connective tissue diseases, spondyloarthritis (SpA), vasculitis, Behcet’s disease and sarcoidosis.

Results:

Demographic findings: There were fifteen patients in the study (86,7%,female), the mean age at diagnosis was 31,2 ± 11,1 years.

Comorbidities: Six patients (4 hashimoto thyroiditis, 2 diabetes mellitus) had comorbid diseases.

Rheumatological findings: Mechanical back pain in 4 patients, 1 patient had morning stiffness without any other SpA related features; 2 patients had inflammatory arthralgias in small joints, 4 patients had sicca symptoms, 1 patient had arthritis in knee joint, 3 patients had oral aphthae and 1 patient had photosensitivity.

Laboratory tests and autoantibodies: The acute phase reactants were within normal ranges. The mean CRP value at the time of diagnosis was 2,7 ± 3,2 mg/L and ESR was 14,4 ± 9,2 mm/h. Two (15,3%) out of 13 patients had high serum ACE levels. RF, anti-CCP and anti-dsDNA were negative in all patients. ANA was positive (>1/160 titers) in 4 patients (28,6%) and 3 patients had a titer above 1/320. Anti-ENA profile was positive in 2 patients with anti-SS-B and anti-histone components. MPO-ANCA was positive in one patient.

HLA test: HLA-B27 was negative in all patients. HLA-B51 and B18 were positive in 2 patients.

Radiographic findings: One patient had heel enthesitis on X-ray, 4 patients had bilateral grade 1 and one patient had unilateral grade 2 sacroiliitis. None of them fulfilled the Modified New York criteria for radiographic sacroiliitis. Hand X-rays of all patients were normal. One patient had reticular density on chest X-ray.

Pathergy: The pathergy test was negative in all patients.

Capilleroscopy: Four patients had pathological capilleroscopy findings (3 patient tortuous loops, 1 patient tortuous loops and microhemorrhages).

Conclusion:

This study suggests that; 1) inflammatory arthralgias and sicca symptoms were the most common rheumatological findings, 2) the frequency of SpA related features were not increased in VKHD, 3) increased autoantibody frequency, particularly in high titers of ANA could be seen in VKHD possibly reflecting the autoimmune nature of the disease, 4) even though there were signs of rheumatic diseases, none of the patients were grouped into any rheumatologic diagnostic classification.

Demographic findings and rheumatological manifestations in VKHD patientsVKHD patients (n=15)Females,n (%)13 (86,7)Age,yrs (mean ± std)34,6 ± 12,6Age of diagnosis, yrs (mean±std)31,2 ± 11,1CRP baseline (mean±std)2,7 ± 3,2 mg/LESR baseline (mean±std)14,4 ± 9,2 mm/HHigh ACE levels,n(%)2/13 (15,3)RF positivity,n(%)0/14 (0)Anti-CCP positivity,n (%)0/6 (0)ANA positivity,n(%)4/14 (28,6)ANA pattern,(n)Homogeneous (2)Nuclear (1)Homogeneous speckled (1)Anti-dsDNA positivity,n(%)0/11 (0)Anti-ENA profile positivity,n(%)2/14 (14,2)ANCA positivity,n(%)1/12 (8,3)Pelvis X-Ray abnormality,n(%)Sacroiliitis (n)5/12 (41,7)Bilateral grade 1 (4)Unilateral grade 2 (1)Capilleroscopy abnormality,n(%)4/9 (44,5)Pathergy,n (%)0/12 (0)

Disclosure of Interests:

None declared

THU0378 DO COMORBIDITIES DECREASE THE FIRST TNF-INHIBITOR RETENTION AND TREATMENT RESPONSE IN AXIAL SPONDYLOARTHRITIS PATIENTS? DATA FROM TURKBIO

Background:

The frequency of comorbidities has increased in spondyloarthritis patients compared to the general population. The effect of comorbidities on tumour necrosis factor alpha inhibitor (TNFi) drug retention and treatment response has not been well evaluated.

Objectives:

The purpose of this study to assess the impact of comorbidities on the first TNFi drug survival and treatment response in patients with axial spondyloarthritis (axSpA) registered in theTURKBIOdatabase.

Methods:

In this study, the frequency of comorbidities, disease activity scores at baseline and month 6 and drug retention were recorded in AxSpA patients iniating first TNFi treatment between 2011 and 2019. Kaplan Meier plot and log rank tests were used for drug survival analysis. Cox regression analysis with HR was performed to evaluate the correlation between comorbidities and drug survival.

Results:

There were 2428 patients with AxSpA (39.3% female) who used their first TNFi during the study period. Among them, a total of 770 (31%) had at least one comorbid disease. Hypertension was the most common comorbidity (9.7%), followed by the affective disorders (8%) and chronic lung disease (5.8%). The baseline characteristics of patients are shown in Table 1.The presence of any comorbidity did not impact the first TNFi retention (Figure 1). When comorbidities were analysed seperately, we found that only history of cerebrovascular event was negatively associated with drug retention rate (HR: 6.9, p:0.008). There was no statistically significant difference in Bath AS Disease Activity Index 50% (BASDAI50) response between patients with and without comorbidity at 6 months. Less axSpA patients with comorbidity achieved a ASDAS score ≤ 2.1 compared to patients without comorbidity at 6 months.

Table 1.

Baseline Characteristics of Patients

Radiographic Spondyloarthritis, n (%)2318 (95.5)Female, n(%)954 (39.3)Age, year42.2±11.8Age at diagnosis, years32.5± 11.3Age at initial TNFi, years39.4 ± 11.1Symptom duration, years9.7± 7.5Time to initial TNFi, years7±6.8HLA-B27- positivity, n (%)1144 (47.1)Smokers, n (%)1068 (44)Baseline BASDAI35.5±22.2Baseline ASDAS-CRP2.8±1.1Baseline CRP (mg/L)15.7±24.4VAS global patient46.6±28.7

-Quantitative variables are presented as mean ± SD, and qualitative variables are presented as frequency and percentage

-ASDAS-CRP, Ankylosing Spondylitis Disease Activity Score using C-reactive protein VAS, visual analogue scale

Conclusion:

The results of this study demonstrated that the presence of previous cerebrovascular event decreased the first TNFi survival in patients with axSpA. It also suggested that comorbidities might decrease TNFi treatment response.

Disclosure of Interests:

None declared

THU0390 THE INFLUENCE OF OBESITY ON RETENTION AND TREATMENT RESPONSE OF SECUKINUMAB IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS: REAL LIFE DATA FROM THE TURKBIO REGISTRY

Background:

Axial spondyloarthritis (axSpA) is a chronic, inflammatory disease that primarily affects the axial skeleton. Secukinumab is a human monoclonal antibody that binds to the protein interleukin (IL)-17A. Although some studies showed that obesity had a negative effect on the efficacy of tumor necrosis factor alpha inhibitor (TNFα -i) treatment in AS patients (1), no data is available for secukinumab.

Objectives:

To evaluate the effect of obesity on the treatment response and drug survival of secukinumab in patients with axSpA.

Methods:

We performed an observational cohort study based on the TURKBIO between 2018-2020. A total of 185 patients were included in the study. The patients were divided into three groups as obese (BMI≥30 kg/m2), overweight (BMI:25-30 kg/m2), and normal (BMI<25 kg/m2). Disease activity was evaluated at baseline and 3, 6 and 12 months of secukinumab therapy. Clinical response was evaluated as achievement of BASDAI50, ASAS20/40, and ASDAS-Clinical and improvement (CII and MI) rates.

Results:

185 axSpA patients were identified in the registry; 135 (72%) had available BMI data. Thirty nine (28.8%) patients were obese. The mean age of obese patients was higher (p=0.002). The frequency of HLA-B27 and male gender was lower in obese group (p=0.012 and p=0.013, respectively). There was no significant difference between groups in terms of clinical response parameters at 3, 6 and 12 months (Table 1). Drug retention rates were higher in biologic naive patients(p=0.007) (Figure 1).

Table 1(BMI <25) (n=33)(BMI 25-30)(n=63)(BMI ≥ 30)(n=39)PAll patients (n=185)Age (years)40.2±11.345.7±11.750.0±10.60.002 *45.2±11Male Gender n (%)25 (75.8)34 (54.0)16 (41.1)0.012 **104 (56.2)HLA-B27 (+) n (%)14 (73.6)37 (84.0)11 (44.0)0.013 **76 (64.3)Prior Naive/1/≥2 bDMARD n (%)12 (36.3)/9 (27.3)/12 (36.3)17 (26.9)/13 (20.6)/33 (52.4)10 (25.6)/14 (35.8)/27 (69.2)0.30256 (30.3)/ 49 (26,5)/ 80 (43,2)ASAS20 response¶13 (61.9)/11 (57.9)/4 (57.1)19 (48.7)/16 (59.3)/8 (42.1)11 (40.7)/7 (29.1)/3 (50.0)0.345/0.073/0.88659 (518)/47 (49.5)/20 (42.6)ASAS40 response¶9 (42.9)/7 (36.8)/3 (42.9)15 (39.5)/10 (37)/1 (5.3)6 (24)/5 (20,8)/3 (50.0)0.334/0.386/0.01240 (35.0)/29 (30.5)/11 (23.4)BASDAI50 response ¶10 (47.6)/9 (47.4)/4 (57.1)15 (39.5)/11 (40.5)/3 (15.8)9 (34.6)/5 (21.7)/3 (50.0)0.634/0.192/0.07748 (42.1)/37 (38.9)/16 (34.0)ASDAS-CII ¶3 (14.3)/5 (26.3)/1 (14.3)6 (17.6)/8 (30.8)/5 (27.8)6 (23.1)/5 (21.7)/2 (33.3)0.237/0.162/0.53123 (21.4)/22 (23.6)/11 (23.9)ASDAS-MI ¶5 (23.8)/3 (15.8)/0 (0)8 (23.5)/6 (23.1)/2 (11.11 (3.8)/1 (4.3)/1 (16.7)0.237/0.162/0.53118 (16.8)/18 (19.3)/8 (17.4)

§; Mean±SD. ¶; at 3/6/12 Months, n (%),*One-way ANOVA test, ** Pearson Chi-Sqaure Test

Figure 1

Conclusion:

This study demonstrated that obesity had no impact on the efficacy and retention of secukinumab treatment in patients diagnosed with axSpA. The drug survival was found to be higher among biologic-naive axSpA patients compared to biologic-experienced.

References:

[1]Ottaviani S.et al. ‘’Body mass index influences the response to infliximab in ankylosing spondylitis’’,Arthritis Res Ther 2012; 14: R11

Disclosure of Interests:

None declared

SAT0128 ARE THERE ANY DIFFERENCES BETWEEN ADULT-ONSET RHEUMATOID ARTHRITIS PATIENTS AND LATE-ONSET RHEUMATOID ARTHRITIS PATIENTS IN TERMS OF USE OF BIOLOGICAL DRUGS AND DRUG RETENTION RATE? RESULTS FROM THE TURKBIO REGISTRY

Background:

Rheumatoid arthritis(RA) is one of the most frequent rheumatic disease, and the age of onset is between 30-50 years old. Late-onset RA(LORA) is usually defined as RA with onset at age 60 or over.

Objectives:

To investigate the choice, effectiveness and the retention rate of biological drugs in LORA patients.

Methods:

TURKBIO registry is the Turkish version of Danish DANBIO rheumatological database which has been established in 2011. We studied RA patients in TURKBIO registry cohort between the dates of 2011 and 2020. All patients fulfilled the American College of Rheumatology criteria for RA and were classified into two groups based on their age at symptom onset: adult-onset RA(>18-<60 years; AORA) and LORA(≥60 years). In both groups, demographical, clinical and laboratory variables; disease activity, current and previous treatment were compared.

Results:

From 10 centers, 2111 RA patients recruited, and 8.8% of them was LORA patients. In LORA, the frequency of female was less than AORA. While, there was no difference between LORA and AORA in terms of erosion presence and RF positivity, antiCCP positivity was more frequent in LORA group. The use of antiTNF was lower, and the use of rituximab was more frequent in LORA. At 12 months after bDMARDs therapy, serum CRP and ESR levels and DAS28-CRP showed higher changes compared to baseline values in LORA. Although the mortality rate was higher in LORA, the adverse reactions were reported to be higher in AORA, and most common advers reaction was infections in both groups(Table). The longest survival was observed in infliximab and rituximab(median 22 and 20months) in LORA, in rituximab and golimumab(median 16 and 12months) in AORA.

Conclusion:

The frequency of LORA who uses bDMARDs was 8.8% in our database. In the elderly patient population, there are some reservations about the use of biological drugs in general due to several co-morbidities and concommitant drug used. Although data on this issue are limited, appropriate biological use can be effective and reliable in required patients.

References:

[1]Zulfigar AA, Niazi R, Pennaforte JL, Andres E. Late-onset rheumatoid arthritis: clinical, biyological, and therapeutic features about a retrospecttive study. Geriatr Psychol Neuropsychiatr Viell 2019;17:51-62

Table.

Comparison of demographic, laboratory findings and biological treatment

(median;25-75)n(%)AORA (<60)(n:1925)LORA (≥60)(n:186)pAge (year)54 (43-61)71 (68-74)<0.001Disease duration (year)11.4 (7-18)6 (4-9)<0.001Gender (Female)1562 (81)124 (67)<0.001Anti-CCP positivity747 (62)65 (72)0.044RF positivity721 (61)63 (70)0.085Erosion presence486 (56)41 (62)0.955Drug survival (months)18 (6-44)18 (4-31)0.046Concomitant csDMARDsMTX629 (34)39 (22)0.001SZP146 (8)13 (7)0.781LEF501 (27)35 (20)0.032bDMARDsAntiTNF1068 (56)73 (39)<0,001TCZ304 (16)20 (11)0,069TOFA294 (15)27 (15)0,784RTX439 (23)57 (31)0,016ABA298 (16)34 (18)0,317Response ΔESH-6 (-21-4)-18 (-36--3)0.016(12 months) ΔCRP-2 (-12-0.6)-9.3 (-28--0.1)0.014ΔDAS28-CRP-1.3 (-3--0.1)-2.2 (-3--1)0.023ΔHAQ-0.3 (-0.8-0)-0.4 (-0.8--0.1)0.114Adverse effects440 (23)32 (17)0.077Malignancy9 (0,5)3 (1.6)0.082Infection192 (10)10 (5)0.042Allergy63 (3)4 (2)0.404Dermatitis62 (3)1 (0,5)0.040Death18 (0.9)7 (4)0.004Other136 (7)11 (6)0.556

Acknowledgments :

None

Disclosure of Interests: :

None declared

SAT0543 PREVALENCE OF FABRY’S DISEASE IN MILD AND SEVERE FMF PATIENTS

Background:

Fabry disease (FD) is a rare metabolic disorder caused by the mutations in the α-galactosidase A (GLA) gene. FD patients present with heterogeneous clinical manifestations, which may overlap with systemic diseases including familial Mediterranean fever (FMF). Recurrent episodes of fever, abdominal pain, and arthralgias can be observed in both disorders and this may lead to misdiagnosis.

Objectives:

To investigate FD prevalence in mild and severe FMF patients.

Methods:

A total of 66 FMF patients, according to the Tel-Hashomer criteria, were included in the study. Patients were grouped into mild (Group 1) and severe (Group 2) subsets according to the severity score. α-GLA enzyme activity and mutations in the GLA gene were performed. Demographic features, clinical findings, MEFV mutations and treatments were recorded.

Results:

The clinical and demographical characteristics of the patients were given in Table 1. In severe form, 27 patients were using biological drug and 40.7% had amyloidosis. Symptoms related to FD including hypohidrosis, acroparesthesias, and painful neuropathies, were not different between the groups. Only one patient in group 1 had a low GLA enzyme activity (0.1 nmol/h/ml;Normal >2.5) which also had mutations in the GLA gene but MEFV mutation test was negative. (Table 2). This patient was a 39-year-old female with recurrent abdominal pain, distal extremity pain and the presence of fever during the attacks. She was heterozygous for R301Q. In detailed history, she reported mild acroparesthesias, hypohidrosis, and tinnitus.

Table 1.

Demographic and clinical findings

All patientsn: 66Group 1n: 32Group 2n: 34p-valueAge, median (min./max.)34 (17/64)27 (17/59)36 (18/64)0.192Male, n (%)36 (54.5)14 (43.8)22 (64.7)0.137Disease duration, median (min./max.)20.5 (1/57)12.5 (2/50)25 (1/57)0.006Family history of FMF, n (%)41 (62.1)22 (68.8)19 (57.6)0.443Alpha-galactosidase A (nmol/h/ml), median (min./max.)5.9 (0.1/16)5.6 (0.1/9.6)6 (3.1/16)0.330Abdominal pain, n (%)58 (87.9)31 (96.9)27 (79.4)0.030Fever, n (%)54 (81.8)25 (78.1)29 (85.3)0.532Arthritis, n (%)34 (51.5)10 (31.3)24 (70.6)0.003Pleuritis, n (%)31 (47)19 (59.4)12 (35.3)0.083Painful neuropathy, n (%)23 (34.8)13 (40.6)10 (29.4)0.440Acroparesthesias, n (%)9 (13.6)6 (18.8)3 (8.8)0.240Angiokeratomas, n (%)0 (0)0 (0)0 (0)-Cardiac abnormalities1 (1.5)1 (3,1)0 (0)0.485Tinnitus, n (%)4 (6.1)3 (9.4)1 (2.9)0.274Hearing loss, n (%)2 (3)2 (6.2)00.086Hypohydrozis, n (%)2 (3)1 (3.1)1 (2.9)0.965Cornea verticillata, n (%)0 (0)0 (0)0 (0)-Proteinüria, n (%)13 (19.7)2 (6.3)11 (32.4)0.012Colchine dosing (mg/day), median (min./max.)2 (1/3)1 (1/2)2 (1/3)<0.001Table 2.

MEFV mutant alleles and GLA mutations

All patientsn: 66Group 1n: 32Group 2n: 34Alpha -galactosidase A (GLA) gene mutations, n (%)1 (1.5)1 (3.1)0 (0)M694V mutations, n (%)47 (35.6)17 (26.5)30 (44.1)Non-M694V mutations, n(%)36(27.2)20 (31.2)16 (23.5)

Conclusion:

In this study, we showed the following: 1) the FD rate in the total FMF group was 1.5% (3.1% in group 1), 2) none of the patients in the severe FMF subset had abnormal enzyme activity or mutations related with FD, 3) symptoms related with FD such as hearing loss, hypohidrosis, acroparesthesias, and painful neuropathies also noted in FMF patients particularly in the milder group. Based on our results, FD should be considered in the differential diagnosis of FMF particularly in patients with atypical symptoms.

Disclosure of Interests:

None declared

FRI0099 THE IMPACT OF BIOLOGICAL DISEASE-MODIFYING ANTI-RHEUMATIC DRUGS ON THE COURSE OF RHEUMATOID ARTHRITIS-ASSOCIATED LUNG DISEASE

Background:

Pulmonary involvement is one of the frequent extra-articular manifestations of rheumatoid arthritis (RA) (1). Biological disease-modifying anti-rheumatic drugs (bDMARDs) are effectively used in the treatment of musculoskeletal findings of RA but their effect on RA-associated lung disease is unclear.

Objectives:

The aim of this retrospective study is to evaluate and compare different bDMARD treatments used in RA patients with RA-associated lung disease.

Methods:

All RA patients who received bDMARDs between 2008 and 2018 in a single rheumatology centre and had thorax high-resolution computed tomography (HRCT) were reviewed for the findings of lung involvement. Patients with positive finding were included in the study. Following the biologic treatment, whether there was a progression/regression in lung involvement was evaluated by comparing the baseline and the latest thorax HRCT findings. Clinical and laboratory data were collected from medical records.

Results:

A total of 40 patients (mean age:62.4 years; 72.5% women) were included in the study. Clinical and demographic characteristics of patients are summarized in Table 1. During the mean 107.43 ± 65 months follow-up period, HRCT findings remained stable in 31 patients (76%) and improved in one (2.5%), while 7 patients (17.5%) had progress in their lung involvement. When patients with and without progress were compared, lung involvement at the diagnosis of RA and the presence of respiratory symptoms at bDMARDs initation was found to be more frequent in the first group (p=0.023 and p=0.020, respectively). Mean ESH values at bDMARDs initation were also higher in patients who had progress (p=0.006). There was no significant difference between the groups in the age, sex, type of bDMARDs used or other baseline laboratory data. Logistic regression analysis showed that lung involvement at the diagnosis of RA was a significiant independent risk factor for the progress (OR: 11.0, 95% CI=1.48-81.60). There was no statistically difference on progression of HRCT findings between patients received TNFi (n=22) and non-TNFi biologics (n=18), (p=1.00). The mean drug survival of first bDMARD also was not statistically different between groups (40.83±21.6 months in non-TNFi group and 42.23±40.50 months in TNFi group (p=0.90)). 5/18 (%27.8) patients in the non-TNFi group and 1/22 (%4.5) in TNFi group had died during the follow-up (p=0.14)

Table 1.

Demographic and clinic characteristics of the patients at the Initiation of BDMARDs.

CharacteristicsN=40Male/Female, n11/29Age at bDMARDs initiation, years (mean±SD)56,51±10.53Age at the diagnosis, years (mean±SD)49,38±11,7Disease duration at bDMARDs initiation, years (mean±SD)7,15±5,53Past or current smoker, n (%)21/40 (52.5)RF positivity, n (%)29/40 (72.5)ACPA positivity, n (%)35/39 (89.7)Anti-SSA positivity n (%)3/9 (33.3)Patients with Sjögren’s syndrome, n (%)5/10 (50)ESR at bDMARDs initiation, (mm/h)38,37 ± 22,2CRP at bDMARDs initiation, (mg/l)16,08 ± 14,54DAS28 at bDMARDs initiation3,68 ± 1,1Respiratory symptom at bDMARDs initation, n(%)12/40 (30)Lung involvement at the diagnosis, n (%)8/25 (24,2)Concomitant steroid, n (%)37/40 (92.5)Concomitant MTX, n (%)16/40 (40)Concomitant other csDMARDs, n (%)31/40 (%77,5)Initiated bDMARDs, TNFi/nonTNFi, n22/18RA-lung involvement type based on HRCT findings, n (%)-Rheumatoid nodulosis17 (42.5)-ILD-ground-glass opacity12 (30)-ILD-honeycombing11 (27.5)

Conclusion:

This study showed that the impact of TNFi and non-TNFi biologic treatments on the course of RA-assosiated lung involvement is similar. It also suggested that lung involvement at the diagnosis of RA was a significiant risk factor for the progress of the pulmonary disease.

References:

[1]Turesson C, O’Fallon WM, Crowson CS, Gabriel SE, Matteson EL. Extraarticular disease manifestations in rheumatoid arthritis: incidence trends and risk factors over 46 years. Ann Rheum Dis. 2003;62(8):722–7

Disclosure of Interests:

None declared

SAT0344 LIMITED JOINT MOBILITY OF HAND IN SYSTEMIC SCLEROSIS PATIENTS BY USING “PRAYER” AND “TABLE TOP” SIGNS

Background:

Limited joint mobility (LJM) is a musculoskeletal disorder caused by flexion contractures of hand is a common complication in systemic sclerosis (SSc) patients. The distal parts of the upper limb (hands and fingers) is the most involved site in SSc.

Objectives:

In this study, we aimed to evaluate LJM in SSc patients and to determine the relationship between the clinical features of the disease.

Methods:

A total of 113 patients (>18 years old) diagnosed with diffuse cutaneous systemic sclerosis (DcSSc) and limited cutaneous systemic sclerosis (LcSSc) and 104 healthy controls were included in this study. LJM was evaluated with “prayer sign” and “table top sign” tests. LJM staging was done by Rosenbloom classification method(1, 2). LJM (+) and LJM (-) patients were compared in terms of demographic findings (gender, age and duration of disease), laboratory results (ESR, CRP, ANA, anti-topoisomerase I and anti-centromere) and modified Rodnan Skin Score (mRSS) results.

Results:

In our study, a total of 113 patients diagnosed with SSc and 104 healthy controls with similar age and gender distribution were included. While LJM (+) was detected in 75 (66.4%) (LcSSc = 38, DcSSc = 37) of the patients diagnosed with SSc, LJM (mild) (+) was detected in 3 (2.8%) of the control group. One of these people had right 2nd DIF joint contracture due to osteoarthritis, and 1 patient was found to have simple contractures due to minor hand injury previously (Table 1). A statistically significant difference was observed in between LcSSc and DcSSc patients according to the presence of LJM (p<0.001) (Table 2). There was a moderate positivity relationship between LJM and mRSS (LcSSc: r=0.449 ve p<0.001, DcSSc: r= 0.565 ve p<0.001) (Figure 1).

Table 1.

Comparison of demographic findings between SSc and Control group

SSc Group (n=113)Control Group (n=104)p valueAge, year57.02 ± 11.5858.47 ± 11.260.061Gender (F / M)98 (86.7) / 15 (13.3)65 (62.5) / 39 (37.5)0.064CRP (mg/L)5.45 ± 5.392.14 ± 1.12<0.001ESR (mm/hr)25.19 ± 18.914.46 ± 10.090.024Smoking, n (%)Smoker89 (78.8)70 (67.3)0.464Non-Smoker24 (21.2)34 (32.7)LJM (Absent / Present)Present75 (66.4)3 (2.8)<0.001Absent38 (33.6)101 (97.2)Rosenbloom classificationLcSSc (n=71) (%)DcSSc (n=42) (%)Total (n=113) (%)Normal46.511.933.6Mild22.514.319.5Moderate23.933.327.4Severe7.140.519.5Table 2.

Comparison of demographic and clinical findings LJM(-) and LJM(+) in SSc

LJM (-) (n=38)LJM (+) (n=75)p valueAge, year54.16 ± 11.8258.47 ± 11.260.061SSc Typen (%)n (%)LcSSc, n (%)DcSSc, n (%)33 (56.8)38 (50.7)<0.0015 (13.2)37 (49.3)Gender,F/M (%)37 (97.3) / 1 (2.7)61 (81.3) / 14 (18.7)0.018Raynaud’s (symptom duration), month148 (44-456)150 (35-588)0.990Non-raynaud (symptom duration), month108 (28-458)138 (38-447)0.132mRSS, median2 (0-14)8 (0-36)<0.001CRP (mg/L)4.21 ± 4.486.08 ± 5.710.069ESR (mm/hr)19.74 ± 1027.95 ± 21.60.270Renal crisis, n (%)1 (2.6)4 (5.3)0.662PAH, n (%)8 (21.1)14 (18.7)0.762ANA positivity, n (%)36 (94.7)70 (93.3)1Anti-centromere positivity, n (%)18 (47.4)19 (25.3)0.01Anti-topoisomerase-1, n (%)8 (21)34(45.3)0.01Smoking, n (%)n (%)n (%)Non-smoker30(78.9)59 (78.7)0.970Smoker8 (21.1)16 (21.3)Figure 1.

Conclusion:

In our study, it was found that LJM staging positively correlated with mRSS and DcSSc patients had more severe LJM findings than LcSSc. We conclude that “prayer sign” and “table top sign” tests used in hand evaluation in SSc patients have similar clinical results with mRSS and can be easily performed in daily practice in about 3 minutes.

References:

[1]Rosenbloom AL. Limitation of finger joint mobility in diabetes mellitus. The Journal of diabetic complications 1989; 3: 77-87.

[2]Nashel J, Steen V. Scleroderma mimics. Current rheumatology reports 2012; 14: 39-46.

Disclosure of Interests:

None declared

THU0398 DRUG RETENTION RATES AND TREATMENT OUTCOMES IN 1860 AXIAL SPONDYLOARTHRITIS PATIENTS TREATED WITH SECUKINUMAB IN ROUTINE CLINICAL PRACTICE IN 13 EUROPEAN COUNTRIES IN THE EUROSPA RESEARCH COLLABORATION NETWORK

Background:

To determine the real-life 6- and 12-month secukinumab effectiveness in Europe overall, as well as stratified by prior biologic disease-modifying anti-rheumatic drug (bDMARD)/targeted synthetic (ts)DMARD use.

Objectives:

Real-life data from axSpA patients treated with secukinumab from 13 countries in the European Spondyloarthritis (EuroSpA) Research Collaboration Network were pooled. We calculated proportions of patients achieving Bath Ankylosing Spondylitis Disease Activity Score (BASDAI) <2/<4 and Ankylosing Spondylitis Disease Activity Score (ASDAS) <1.3/<2.1 at 6 and 12 months, including with LUNDEX adjustments (crude value adjusted for drug retention). Retention rates were compared between b/tsDMARD naïve, 1 prior and ≥2 prior b/tsDMARD users with Kaplan-Meier analyses with log rank test and disease states by Chi-square test.

Methods:

A total of 1860 axSpA patients were included (Table 1). Overall 6/12-month secukinumab retention rates were 82%/72% and higher in bionaïve patients (Table 2, Figure). Significant differences in retention rates in-between the registries were found. Inactive disease/low-disease-activity (LDA) were achieved more often in bionaïve patients (Table 2).

Table 1All patients (n=1860)b/tsDMARD naïve (n=414)1 prior b/tsDMARD (n=448)≥2 prior b/tsDMARDs (n=998)Age (years), mean (SD)47 (12)45 (12)47 (12)48 (12)Men, %57%68%58%49%Years since diagnosis, mean (SD)10 (9)8 (9)10 (9)11 (9)Current smokers, %25 %27%25%23%Patient’s global (0-100), median (IQR)70 (50-81)80 (60-90)64 (50-80)70 (50-82)Physician’s global (0-100), median (IQR)45 (25-63)64 (43-78)45 (22-60)40 (20-58)C reactive protein (mg/L), median (IQR)8 (3-25)15 (5-31)7 (3-25)6 (2-22)Erythrocyte sedimentation rate (mm/h), median (IQR)22 (9-44)30 (14-44)24 (8-45)18 (8-42)Pain (0-100), median (IQR)70 (50-81)80 (65-90)65 (49-80)70 (50-80)BASDAI, median (IQR)6.2 (4.6-7.6)6.8 (5.2-8.0)5.9 (4.2-7.2)6.1 (4.4-7.6)BASFI, median (IQR)5.5 (3.2-7.3)6.1 (3.2-7.6)4.8 (2.8-6.8)5.5 (3.3-7.2)ASDAS, median (IQR)3.6 (2.9-4.3)4.2 (3.5-4.8)3.5 (2.7-4.2)3.5 (2.8-4.2)Table 2MonthsAll patients (n=1860)b/tsDMARD naïve (n=414)1 prior b/tsDMARD (n=448)≥2 prior b/tsDMARDs (n=998)p-value*Secukinumab retention rate, % (95%CI)682% (80-84%)90% (87-93%)83% (79-86%)78% (76-81%)0.0011272% (69-74%)84% (81-88%)73% (69-78%)66% (63-69%)<0.001BASDAI <2, % Crude626373518<0.001 LUNDEX adjusted21342813<0.001 Crude1225412918<0.001 LUNDEX adjusted16311811<0.001BASDAI <4, % Crude651716040<0.001 LUNDEX adjusted40654730<0.001 Crude1251765639<0.001 LUNDEX adjusted32573623<0.001ASDAS <1.3, % Crude69131360.001 LUNDEX adjusted712115<0.001 Crude1211181570.002 LUNDEX adjusted713940.002ASDAS <2.1, % Crude6243226200.002 LUNDEX adjusted19292115<0.001 Crude1227442721<0.001 LUNDEX adjusted17331712<0.001

*Comparisons between b/tsDMARD naïve, 1 prior and ≥2 prior b/tsDMARD users were performed with Kaplan-Meier with log-rank test or Chi-Square test, as appropriate

Conclusion:

In this real-life study of 1860 patients with axSpA in 13 European countries secukinumab retention was high and significantly higher for bionaïve patients. Overall, a higher proportion of bionaïve than previous b/tsDMARD users achieved inactive disease/LDA.

Figure

Acknowledgments:

Novartis and IQVIA for supporting the EuroSpA RCN

Disclosure of Interests:

Brigitte Michelsen Grant/research support from: Research support from Novartis, Consultant of: Consulting fees Novartis, Ulf Lindström: None declared, Catalin Codreanu Consultant of: Speaker and consulting fees from AbbVie, Accord Healthcare, Alfasigma, Egis, Eli Lilly, Ewopharma, Genesis, Mylan, Novartis, Pfizer, Roche, Sandoz, UCB, Speakers bureau: Speaker and consulting fees from AbbVie, Accord Healthcare, Alfasigma, Egis, Eli Lilly, Ewopharma, Genesis, Mylan, Novartis, Pfizer, Roche, Sandoz, UCB, Adrian Ciurea Consultant of: Consulting and/or speaking fees from AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Merck Sharp & Dohme, Novartis and Pfizer., Jakub Zavada Speakers bureau: Abbvie, UCB, Sanofi, Elli-Lilly, Novartis, Zentiva, Accord, Anne Gitte Loft Grant/research support from: Novartis, Consultant of: AbbVie, MSD, Novartis, Pfizer and UCB, Speakers bureau: AbbVie, MSD, Novartis, Pfizer and UCB, Manuel Pombo-Suarez Consultant of: Janssen, Lilly, MSD and Sanofi., Speakers bureau: Janssen, Lilly, MSD and Sanofi., Fatos Onen: None declared, Tore K. Kvien Grant/research support from: Received grants from Abbvie, Hospira/Pfizer, MSD and Roche (not relevant for this abstract)., Consultant of: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Paid instructor for: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Speakers bureau: Have received personal fees from Abbvie, Biogen, BMS, Celltrion, Eli Lily, Hospira/Pfizer, MSD, Novartis, Orion Pharma, Roche, Sandoz, UCB, Sanofi and Mylan (not relevant for this abstract)., Ziga Rotar Consultant of: Speaker and consulting fees from Abbvie, Amgen, Biogen, Eli Lilly, Medis, MSD, Novartis, Pfizer, Roche, Sanofi., Speakers bureau: Speaker and consulting fees from Abbvie, Amgen, Biogen, Eli Lilly, Medis, MSD, Novartis, Pfizer, Roche, Sanofi., Maria Jose Santos Speakers bureau: Novartis and Pfizer, Florenzo Iannone Consultant of: Speaker and consulting fees from AbbVie, Eli Lilly, Novartis, Pfizer, Roche, Sanofi, UCB, MSD, Speakers bureau: Speaker and consulting fees from AbbVie, Eli Lilly, Novartis, Pfizer, Roche, Sanofi, UCB, MSD, Anna-Mari Hokkanen: None declared, Björn Gudbjornsson Speakers bureau: Novartis and Amgen, Johan Askling Grant/research support from: JA acts or has acted as PI for agreements between Karolinska Institutet and the following entities, mainly in the context of the ARTIS national safety monitoring programme of immunomodulators in rheumatology: Abbvie, BMS, Eli Lilly, Merck, MSD, Pfizer, Roche, Samsung Bioepis, Sanofi, and UCB Pharma, Ruxandra Ionescu Consultant of: Consulting fees from Abbvie, Eli-Lilly, Novartis, Pfizer, Roche, Sandoz, Speakers bureau: Consulting and speaker fees from Abbvie, Eli-Lilly, Novartis, Pfizer, Roche, Sandoz, Michael Nissen Grant/research support from: Abbvie, Consultant of: Novartis, Lilly, Abbvie, Celgene and Pfizer, Speakers bureau: Novartis, Lilly, Abbvie, Celgene and Pfizer, Karel Pavelka Consultant of: Abbvie, MSD, BMS, Egis, Roche, UCB, Medac, Pfizer, Biogen, Speakers bureau: Abbvie, MSD, BMS, Egis, Roche, UCB, Medac, Pfizer, Biogen, Carlos Sánchez-Piedra: None declared, Servet Akar: None declared, Joe Sexton: None declared, Matija Tomsic: None declared, Helena Santos Speakers bureau: AbbVie, Eli-Lilly, Janssen, Pfizer, Novartis, Marco Sebastiani: None declared, Jenny Osterlund: None declared, Arni Jon Geirsson: None declared, Gareth T. Jones Grant/research support from: Pfizer, AbbVie, UCB, Celgene and GSK., Irene van der Horst-Bruinsma Grant/research support from: AbbVie, Novartis, Eli Lilly, Bristol-Myers Squibb, MSD, Pfizer, UCB Pharma, Consultant of: AbbVie, Novartis, Eli Lilly, Bristol-Myers Squibb, MSD, Pfizer, UCB Pharma, Stylianos Georgiadis Grant/research support from: Novartis, Cecilie Heegaard Brahe Grant/research support from: Novartis, Lykke Midtbøll Ørnbjerg Grant/research support from: Novartis, Merete L. Hetland Grant/research support from: BMS, MSD, AbbVie, Roche, Novartis, Biogen and Pfizer, Consultant of: Eli Lilly, Speakers bureau: Orion Pharma, Biogen, Pfizer, CellTrion, Merck and Samsung Bioepis, Mikkel Ǿstergaard Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Merck, and Novartis, Consultant of: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB

SAT0544 USE OF BIOLOGICAL DMARDS IN PATIENTS WITH ADULT-ONSET STILL’S DISEASE: RESULTS FROM TURKBIO REGISTRY

Background:

Adult-onset Still’s disease (AOSD) is a rare multisystemic inflammatory disorder, and is diagnosed by exclusion. AOSD is generally treated with nonsteroidal antiinflammatory drugs, corticosteroids, and conventional disease modifiying antirheumatic drugs (cDMARDs). Biological disease modifiying antirheumatic drug (bDMARD) therapy are recommended in AOSD patients who are refractory to tradional therapy, and bDMARDs is becoming increasingly important in AOSD treatment.

Objectives:

To evaluate the use of bDMARDs and drug survival in AOSD patients.

Methods:

TURKBIO registry is the Turkish version of Danish DANBIO rheumatological database which has been established in 2011. All patients with AOSD who received biological agents registered in TURKBIO registry between dates of October 2011 and October 2019 were included in this study. The demographic data, response of therapy, frequency of using and switching biological agents were collected.

Results:

As of October, 21 AOSD patients were recruited. Mean age of patients was 34.6±7.3 (min-max: 24-49) years, mean disease duration was 9.3±7.4 (min-max: 1-22) years, and 57.1% of patients was female. Mean duration from onset to start of bDMARDs was 7±6.1 (min-max: 0.5-21) years. It was observed that 13 patients (61.9%) received tocilizumab (TCZ), 6 patients (28.6%) received IL-1 inhibitors (5 anakinra and one canakinumab), 2 patients (9.5%) received certolizumab and one patient (4.8%) received etanercept as a first-line bDMARDs. The most frequently used biological agents in current treatment were as follows: 52.4% of patients received TCZ and 33.3% received IL-1 inhibitors (4 anakinra, 3 canakinumab), and the most frequently used concomitant drugs were methotrexate (47.6%) and hydroxychloroquine (14.3%). The switching rate was 33.3%, and in half of them the reason of switching was adverse events. The median drug survival for bDMARDs was 28.6 months (Table).

Table.

Demographic, laboratory features and management of AOSD

(median;25-75)n=21Age (year)34.7 (28.3-40.6)Gender (Female) n(%)12 (57.1)Disease duration (year)8 (2-17)Duration from onset to start of bDMARs (year)6 (1.5-10)ESR (on onset)44 (21-66)CRP (on onset)65 (3.1-108)Current bDMARDs n(%) Tocilizumab11(52.4) IL-1 inhibitors7 (33.3) Etanercept1 (4.8) Certolizumab2 (9.5)Concomitant cDMARD n(%) Methotrexate10 (47.6) Leflunomide4 (19) Sulfasalazine1 (4.8) Hydroxychloroquine3 (14.3)bDMARDs Survival (months)28.6 (5.5-75)Switching Rate n(%)7 (33.3)Adverse Event n(%)3 (14.3)

Conclusion:

This is the first evaluation of AOSD patients who used biological agents from TURKBIO registry. According our data, TCZ and anti-IL1 agents were the most frequent biological choices. The limitation of this study was the low number of the patients with AOSD who used biological agents.

References:

[1].Zhou S, Qiao J, Bai J, Wu Y, Fang H. Biological therapy of traditional therapy-resistant adult-onset Still’s disease: an evidence-based review. Ther Clin Risk Manag 2018;14:167-71.

Acknowledgments:

None

Disclosure of Interests:

None declared

FRI0276 EARLY TREATMENT WITH ANTI-TNF IS ASSOCIATED WITH HIGHER RESPONSE RATES IN PATIENTS WITH ACTIVE AXSPA

Background:

Treatment options for axial spondyloarthritis (axSpA) is currently limited, and up to 40% of the patients require biologic therapies to control symptoms. Early commencement of biologics suggested to have higher response rates but data regarding this subject is limited.

Objectives:

The primary aim was to investigate tumor necrosis factor inhibitor (TNFi) response and retention rates in axSpA patients who were treated in the early disease period (symptom duration (≤5 years). Our secondary aim was to identify factors predicting response to TNFi.

Methods:

Adult axial SpA patients who started TNFi treatments within the five years of their symptoms were identified and defined as “Group 1”. Patients whose TNFi treatments started five years after their initial symptoms served as a control group (Group 2: 5-10 years and Group3: ≥10 years). Response and survival rates at 6, 12, and 24 months were calculated. Predictors of response on TNFi survival at 24 months were also analyzed.

Results:

There was a total of 364 axiSpA (Group 1: 95, Group 2: 82 and Group 3: 187) patients in the study (69.8% male, 46.8±12.6 years). Group 1 patients tended to be younger, with a lower baseline CRP titers and lower HLA–B27 rate compared to the other groups. Drug survival rates were similar between the groups. This finding also remained similar when AS and nraxSpA patients analyzed separately. However, regardless of symptom duration, the drug retention rates were significantly higher in the AS group than in nraxSpA (Table 2). ASAS40 responses were higher in Group 1 than in Group 3 both at 12 and 24 months. Predictors of response based on ASAS40 at 24 months were treatment within the five years of the symptoms (OR:2.2) and age at baseline (OR:0.97) in univariate analysis. However, baseline ASDAS (OR:1.4) was the only factor in multiple regression.

Conclusion:

In this study we showed the following: 1) TNFi started in the early disease course resulted in a better ASAS40 response at both 12 and 24 months, 2) TNFi timing (started in the early or late disease period) seems not affecting drug retention rates, and 3) baseline disease activity is the most important predictor in achieving ASAS40 response at 24 months.

Disclosure of Interests:

None declared

AB0202 GENETIC SUSCEPTIBILITY AND PHENOTYPE OF RHEUMATOID ARTHRITIS IN DANISH AND TURKISH PATIENTS

Background:

Previous studies indicate that genetic susceptibility and phenotype of rheumatoid arthritis (RA) differ between the populations.

Objectives:

To compare the clinical, serologic expression and the presence of shared epitopes (SE) of incident RA in two different populations, one from Northern and the other from Southern Europe.

Methods:

Data on incident RA patients fulfilling EULAR/ACR 2010 classifications criteria for RA were collected at Rheumatology Departments in Denmark and Turkey in 2015-2016. Patients were assessed using the same standardized protocol in both populations. SE carrier status were assigned, according to the du Montcel classification based, into six allele groups:S1, S2,S3D,S3PandX, where S2 and S3P are RA risk-enhancing alleles and S1 and S3D are RA protective alleles of the shared epitope(1).

Results:

109 incident RA patients from Denmark and 114 incident RA patients from Turkey were enrolled. Genetic data were available from 87% of the patients.

Table 1.

Characteristics of incident rheumatoid arthritis patients in Denmark and Turkey

Danish patientsn=109Turkish patientsn=114P-valueAge at diagnosis, years60 (49-69)52 (43-64)0.003Female, %64740.12Symptom duration, months7 (4-21)6 (2-22)0.6Smoking status Never smoker, %43440.98 Former smoker, %28310.68 Current smoker, %29250.54VAS pain (0-100 mm)45 (28-66)60 (41-72)0.01VAS fatigue (0-100 mm)51 (29-69)50 (20-70)0.32VAS global, patient (0-100 mm)60 (31-80)60 (41-73)0.77Swollen joint count (0-28)7 (4-11)3 (1-6)<0.00001Tender joint count (0-28)7 (3-11)5 (2-8)0.04HAQ score (0-3)0.75 (0.34-1.25)1.0 (0.25-1.75)0.02DAS284.7 (4.1-5.5)4.3 (3.3-5.2)0.01CRP, mg/l7 (3.0-18.5)8 (3.1-22.6)0.54IgM RF positive, %70660.58ACPA positive, %63750.1

Medians (interquartile range) for continuous variables

VAS – Visual Analog Scale, HAQ - Health Assessment Questionnaire, DAS28 - Disease Activity Score 28 joints, CRP – C-reactive protein, RF – Rheumatoid Factor, ACPA - Anti-Citrullinated Protein Antibodies.

Table 2.

Shared epitope allele carrier frequencies.

AlleleDanish patientsn=98Turkish patientsn=95P-valueS1, % (n)19 (37)22 (42)0,43S2, % (n)26 (51)8 (16)<0,00001S3D, % (n)6 (12)21 (39)0,000029S3P, % (n)27 (52)29 (56)0,52X, % (n)22 (44)19 (37)0,47

We found no associations between the risk-enhancing alleles and the presence of IgM rheumatoid factor or ACPA.

Conclusion:

The Turkish patients were younger and had lower disease activity than Danish at the time of diagnosis. Our study found an enhanced genetic susceptibility to RA in Danish compared to Turkish patients with a higher prevalence of risk-enhancing RA alleles and a lower prevalence of protective alleles.

References:

[1]Tezenas du Montcel S, Michou L, Petit-Teixeira E, Osorio J, Lemaire I, Lasbleiz S, et al. New classification of HLA–DRB1 alleles supports the shared epitope hypothesis of rheumatoid arthritis susceptibility.Arthritis Rheum2005; 52: 1063–8.

Disclosure of Interests:

None declared

AB1071 COEXISTENCE OF FAMILIAL MEDITERRANEAN FEVER WITH SPONDYLOARTHRITIS: CLINICAL CHARACTERISTIC AND TREATMENT OUTCOMES

Background:

Studies indicate that there is an association with spondyloarthritis (SpA) and familial mediterranean fever (FMF) based on the following: 1) increased incidence of sacroiliitis in FMF, 2) MEFV gene mutations are significantly increased in ankylosing spondylitis (AS) and 3) both SpA and FMF show some common clinical manifestations such as the pattern of arthritis. However, characteristics of SpA associated with FMF such as clinical characteristics and treatment outcomes have been poorly documented and additional data is required on this topic.

Objectives:

To study the clinical and treatment characteristics of patients associated with FMF and SpA.

Methods:

Twenty-eight patients with FMF and SpA who were registered in our database were included in the study. Demographic, clinical, and laboratory data were collected. HLA-B27, MEFV gene mutations were recorded. Pelvic radiographs and sacroiliac joint magnetic resonance imaging (MRI) (if present) were scored based on the modified New York criteria (mNYc) and ASAS MRI definitions respectively. Treatment data were also recorded.

Results:

There were 28 FMF-SpA patients in the study (mean age 45.1±16.4 years, 57.2% male). The mean age of onset of FMF and SpA were 31.9±17.9 and 35.5±16.2 years respectively. SpA patients were predominantly axial (n=21, 75%), and only 7 (25%) were mainly peripheral type. Fifteen (53.5%) patients were satisfying mNYc for AS. Four (14%) patients were fulfilling ASAS non radiographic axial SpA definition. Bone marrow edema was detected in (36%) of the patients who underwent MRI (n=14). Two (7.1%) patients had SpA symptoms but did not classify into any of the ASAS arms. Arthritis observed in 19 (67.8%) patients with mostly in oligoarthritis type (79%). Ankle and knees were the most affected joints. Total hip replacement was present in 7% of the patients. Amyloidosis confirmed by biopsy was detected in 4 (14%) patients. Enthesitis (11%), uveitis (11%), Chron’s disease (7%), dactylitis (3%), and psoriasis (3%) was also noted. Nearly %30 patients required non IL-1 biologic therapy (BTx) to control SpA symptoms (axial 70%, peripheral 30%). 40% of the patients needed to switch non IL-1 BTx to another biologic agent because of lack of efficacy on SpA symptoms (25%) or due to the adverse event (25%) and active FMF not responding to non IL-1 biological agent (50%).

Conclusion:

We showed the following: 1) more female predominance in FMF-SpA patients compared to classic SpA, 2) FMF-SpA patients had lower frequency of HLA B27, 3) up to %30 of the patients required non-IL-1 BTx to control SpA symptoms and 4) in patients on non IL-1 BTx FMF symptoms responded in 80%.

Table 1.

The clinical characteristics of FMF-SPA patients

Age*45.1±16.4Male, n (%)16 (57.2)SpA symptom duration,years*9.5±7.0FMF symptom duration,years*12.6±9.6HLA-B27 positivity, n (%)5 (29.4)Mainly axial involvement, n (%)21 (75)Mainly peripheral involvement, n (%)7(25)mNY positivity, n (%)15 (53.5)MEFV (M694V) mutation18MEFV (non M694V) mutation19Amyloidosis, n (%)4 (14.2)Non IL-1 biological treatment for SpA symptoms, n (%)10 (35.7)

*(mean ±S.D)

Disclosure of Interests:

None declared

SAT0423 LONG-TERM SURVIVAL OF THE FIRST BIOLOGIC TREATMENT IN PSORIATIC ARTHRITIS AND THE EFFECT OF THE SELECTED TREATMENT ON DRUG SURVIVAL; TURKBIO REGISTRY

Background:

Currently, biologic treatments are used effectively in patients with psoriatic arthritis (PsA).

Objectives:

The aim of this study was to evaluate and compare long-term drug survival of the first biologic treatments including adalimumab, certolizumab, etanercept, golimumab, infliximab, secukinumab and ustekinumab in patients with PsA.

Methods:

PsA patients, electronically registered at each visit in the TURKBIO database between 2011 and 2019 were included in the study. PASW 18.0 for Windows was used for statistical analysis. Drug survival rates were calculated by Kaplan Meier method.

Results:

355 patients (227 women; axial PsA = 48, peripheral PsA = 307) were included in the study (Table 1). Adalimumab was the most commonly used first biologic treatment (n=125; 37.6%). The rate of drug survival was found to be 0.75 at month 60 in patients receiving the first biologic treatment (Figure 1). There was no significant difference in drug survival rate between tumor necrosis factor alpha inhibitor (TNFi) and non-TNFi biologic drugs (p=0.56). No difference was also found in drug survival rates between each biologic treatment.

Table 1.

Initial demographic and clinical datas of patients with PsA

PsA Patients (n=355)Females, n (%)227 (63,9)Age of diagnosis, years*34,6 (27-42)CRP baseline*6 mg/ L (3-15)ESR baseline*24 mm/h (10-38)Smoking, n (%)Current99 (28,5)Never192 (55,3)Previous56 (16,2)HLA B27 positivity,n (%)41 (26,4)First biologic agent, n (%)-TNFi332 (95,4)AdalimumabEtanercept125 (37,6)80 (24,1)Golimumab52 (15,6)Certolizumab44 (13,3)Infliximab31 (9,4)- Other biologic agents16 (4,6)Secukinumab13 (81,3)Ustekinumab3 (18,7)

*median (min-max)

Conclusion:

The results of this study establish that more than half of patients with PsA can remain in their initial biologic treatment over a long term. It has been observed that the choice of biologic treatment did not effect the drug survival in PsA.

Disclosure of Interests:

None declared