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XLVI Congreso Nacional Sociedad Española de Reumatología
Virtual, 20 - 24 octubre 2020
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19. PÓSTERES COVID
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PCOVID02 - INCIDENCE OF COVID-19 IN IMMUNOMEDIATED DISEASES TREATED WITH BIOLOGICS AND TARGETED SYNTHETIC DISEASE MODIFYING ANTIRHEUMATIC DRUGS

A.V. Esteban Vázquez1, L. Cebrián2, I.J. Thuissard3, C. García-Yubero4, M. Steiner1, T. Cobo-Ibáñez1, F. Sánchez2, A. Gómez1, M.Á. Matías2, M. Esteban5, N. Manceñido6, R. Pajares6, M.R. Arribas6, A. Martínez4, C. Andreu3, C. Esteban7, L. Romero1, T. Navío2 and S. Muñoz-Fernández1

1Rheumatology Section. Hospital Universitario Infanta Sofía. Universidad Europea de Madrid. Madrid. 2Rheumatology Section. Hospital Universitario Infanta Leonor. Universidad Complutense de Madrid. Madrid. 3Faculty of Biomedical and Health Sciences. Universidad Europea de Madrid. Madrid. 4Pharmacy Section. Hospital Universitario Infanta Sofía. Universidad Europea de Madrid. Madrid. 5Ophthalmology Section. Hospital Universitario Infanta Sofía. Universidad Europea de Madrid. Madrid. 6Gastroenterology Section. Hospital Universitario Infanta Sofía. Universidad Europea de Madrid. Madrid. 6Pharmacy Service. Hospital Universitario Infanta Leonor. Universidad Complutense de Madrid. Madrid.

Objectives: To analyze the incidence of COVID-19 among patients with immunomediated inflammatory diseases (IMID) treated with biologic or targeted synthetic disease modified antirheumatic drugs (bDMARD and tsDMARD) and to evaluate the influence of IMID or the therapies on the incidence, evolution of the infection and the need of intensive therapy.

Methods: This is an observational, transversal and ambispective study done from 31 January to 15 May 2020. Data were obtained from the clinical medical records from the hospital setting, primary care and community pharmacy. Inclusion criteria were adults with IMID treated with bDMARD or tsDMARD who started the therapy three months before 31 January 2020. Patients with poor adherence to treatments were excluded. COVID-19 was classified as “definitive” (SARS-CcV2 PCR-positive), “possible” (characteristic symptoms and negative PCR) and “suspected” (characteristic symptoms but PCR not done).

Results: COVID-19 was diagnosed in 70 (11 definitive, 19 possible and 40 suspected) of 902 patients. The cumulative incidence of definitive COVID-19 was 1.2%. When considering all cases, the incidence would have been of 7.8%. A significant relationship was found between COVID-19 and patients on biosimilars TNF-blockers (OR = 2.308, p < 0.001). Patients on anti-B cell therapies had a lower incidence of infection (p = 0.046). Patients recovered in 94.3%, with low hospitalization rates (14.3%), pneumonia (14.3%), death (2.9%), or thrombosis (2.9%).

Table 1. Frequency of cases in the two hospitals, type of IMID, type of treatment (bDMARD or tsDMARD) in the 902 patients with and without COVID-19

Total (902)

No COVID-19 (n = 832, 92.2%)

COVID-19 (n = 70, 7.8%)

Difference

Hospital

HUIS (n = 536, 59.4%)

506 (60.8%)

30 (42.9%)

p = 0.003

4 (5.7%) Definitive

12 (17.1%) Possible

14 (20%) Suspected

HUIL (n = 366, 40.6%))

326 (39.2%)

40 (57.1%)

7 (10%) Definitive

7 (10%) Possible

26 (37.1%) Suspected

AGE

52 yr (SD 19)

50 (SD 19)

p = 0.85

Sex (female)

59.4%

61.4

p = 0.737

Diagnosis

Rheumatoid arthritis (n = 296, 32.8%)

273 (32.8%)

23 (32.9%)

p = 0.994

Spondyloarthritis (1) (n = 360, 39.9%)

324 (38.9%)

36 (51.4%)

p = 0.04 (2)

CD or UC (n = 134, 14.9%)

126 (15.1%)

8 (11.4%)

p = 0.401

Other IMIDs (3) (n = 112, 12.4%)

109 (13.1%)

3 (4.3%)

p = 0.032

Year after diagnosis

8 (SD 8)

6 (SD 9.3)

p = 0.473

Treatment

Innovator TNF-blockers (4) (n = 314, 34.8%)

287 (34.5%)

27 (38.57%)

p = 0.492

Biosimilar TNF-blockers (5) (n = 229, 25.4%)

199 (23.9%)

30 (42.9%)

P<0.0001

Anti-B cell (6) (n = 67, 7.4%)

66 (7.9%)

1 (1.4%)

p = 0.046

Anti-il 17/23 (7) (n = 97, 10.8%)

92 (11.1%)

5 (7.1%)

p = 0.310

Anti-il-6 (8) (n = 92, 10.2%)

88 (10.6%)

4 (5.7%)

p = 0.197

Vedolizumab (n = 30, 3.3%)

30 (3.6%)

0

p = 0.161

Abatacept (n = 19, 2.3%)

19 (2.3%)

0

p = 0.390

Jak inhibitors (9) (n = 42, 4.76)

40 (4.8%)

2 (2.9%)

p = 0.765

Anakinra (n = 4. 4.4%)

4 (0.5%)

0

Apremilast (n = 8, 8.9%)

7 (0.8%)

1 (1.4%)

 

Months with bDMARD OR tsDMARD

30 (SD 44)

25 (SD 51.5)

p = 0.271

csDMARs (n = 340, 37.7%)

318 (38.2%)

22 (31.4%)

p = 0.260

Methotrexate (n = 187, 20.7%)

173 (20.8%)

14 (20%)

p = 0.875

Leflunomide (n = 58, 6.4%)

55 (6.6%)

3 (4.3%)

p = 0.614

Azathioprine (n = 38, 4.2%)

36 (4.3%)

2 (2.9%)

p = 0.762

Sulfasalazine (n = 26, 2.9%) Hydroxychloroquine (n = 23, 2.6%)

25 (3%)

1 (1.4%)

p = 0.714

Mycofelonate (n = 14,1.6%)

20 (2.4%)

3 (4.3%)

p = 0.414

Others (n = 8, 0.9%)

14 (1.7%)

0

p = 0.617

 

8 (1%)

0

p = 1

Corticosteroids

p = 0.206

<7.5 mg/d of prednisone (n = 147, 16.3%)

138 (16.6%)

9 (12.9%)

>7.5 mg/d of prednisone (n = 14, 1.6%)

11 (1.3%)

3 (4.3%)

1. Spondyloarthritis 2. In the group of patients with spondyloarthritis the difference was not found significant when the patients with biosimilars TNF blockers were excluded (p = 0.486). 3. Includes diverse systemic autoimmune diseases: systemic lupus erythematosus (n = 15), uveítis (n = 14), polymialgia without arteritis (n = 13), chronic juvenile arthritis (n = 12), giant cell arteritis (n = 11), Sjögren syndrome (n = 10), myositis or dermatomyositis (n = 10), other vasculitis (n = 8), Behçet´s disease (n = 6), scleroderma and related diseases (n = 5), Still´s disease (n = 4), overlap síndromes (n = 3) and sarcoidosis (n = 1). The signifficance disappeared when patients on rituximab and belimumab were excluded. 4. The group with innovator TNF-blockers includes 24 with infliximab, 131 with adalimumab, 66 with etanercept, 54 with certolizumab and 39 with golimumab. 5. Group with biosimilar TNF-blockers includes 52 with infliximab, 95 with adalimumab and 82 with Etanercept. 6. Anti-B cell group includes 58 patients with rituximab and 9 with belimumab. 7. Anti il 17/23 includes 53 patients with secukinumab, 9 with ixekizumab and 35 with ustekinumab. All COVID-19 cases observed in this group were treated with secukinumab. 8. Anti-il 6 includes 62 patients with tocilizumab and 30 with sarilumab. All COVID-19 cases observed in this group were treated with tocilizumab. 9. Jak inhibitors includes 24 patients with tofacitinib and 18 with baricitinib.Jak inhibitors includes 24 patients with tofacitinib and 18 with baricitinib.

Table 2. Frequency of symptoms and treatments in 70 patients with COVID-19 and IMID treated with bDMARD or tsDMARD.

Symptoms

N (%)

General symptoms*

67 (95.7)

Pneumonia

10 (14.3)

Thrombosis

2 (2.9)

Others**

42 (60)

Therapies used to treat COVID-19

Antibiotics

17 (24.3)

Hydroxychloroquine

15 (21.4)

Corticosteroids

7 (10)

Heparin

6 (8.6)***

Tocilizumab

4 (5.7)

Colchicine

1 (1.4)

Antivirals

1 (1.4)

Mechanic ventilation

1 (1.4)

Table 3. Frequency of comorbidities in 902 patients with IMIDs treated with bDMARD or tsDMARD

Comorbidities (n = 546, 60.5%)

No COVID-19 (n = 505, 60.7%)

COVID-19 (n = 41, 58.6%)

p = 0.727

Hypertension (n = 206, 22.8%)

190 (22.8)

16 (22.9)

p = 0.997

Dyslipemia (n = 156, 17.3%)

144 (17.3)

12 (17.1)

p = 0.972

Smoking (n = 140, 15.5%)

133 (16)

7 (10)

p = 0.1840

Obesity/overweight (n = 112, 12.4%)

105 (12.6)

7 (10)

p = 0.523

Thyroid disease (n = 79. 8.8%)

76 (9.1)

3 (4.3)

p = 0.168

Diabetes (n = 77, 8.5%)

73 (8.8)

4 (5.7)

p = 0.379

Chronic obstructive lung disease (n = 29, 3.2%)

24 (2.9)

5 (17.1)

p = 0.067

Asthma (n = 25, 2.8%)

22 (2.6)

3 (4.3)

p = 0.435

Sleep apnea-hypopnea syndrome (n = 35, 3.9%)

27 (3.2)

8 (11.4)

p = 0.004

Heart diseases (n = 55,6.1%)

51 (6.1)

4 (5.7)

p = 1

Psychiatric diseases (n = 37, 4.1%)

32 (3.8)

5 (7.1)

p = 0.199

Cancer (n = 26, 2.9%)

25 (3)

1 (1.4)

p = 0.714

Others (n = 115, 12.8%)

107 (12.9)

8 (11.4)

Conclusions: The cumulative incidence of definitive COVID-19 was similar to the general population, with low hospitalization, intensive care management and death rates and it was less frequent in the most immunosuppressed patients.

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