| Literature DB >> 36186839 |
Maryam Sahebari1, Zahra Mirfeizi1, Zhaleh Shariati-Sarabi1, Malihe Dadgar Moghadam2, Kamila Hashemzadeh1, Mona Firoozabadi1.
Abstract
Introduction: During the SARS-CoV-2 virus pandemic, immunosuppressive agents in treating chronic disease have become a concern, and rheumatic patients are not an exception. The controversies about the deteriorating effects of such medications led this study to evaluate the influence of biologic and conventional disease-modifying antirheumatic drugs (DMARDs) on the incidence of COVID-19 infection in rheumatic patients. Material and methods: In the present cohort-analytical study, 512 patients with rheumatic diseases were enrolled during the COVID-19 pandemic (2020-2021). The incidence of COVID-19 infection was diagnosed according to the definition of the Iranian Ministry of Health. The frequency of COVID-19 infection in patients treated with biological and conventional DMARDs and glucocorticosteroids were compared.Entities:
Keywords: COVID-19; anti-tumor necrosis factor; rheumatic diseases; rituximab
Year: 2022 PMID: 36186839 PMCID: PMC9494785 DOI: 10.5114/reum.2022.119039
Source DB: PubMed Journal: Reumatologia ISSN: 0034-6233
Symptoms in COVID-19-infected rheumatic patients*
| COVID-19 criteria (highly suggestive coronavirus-related symptoms with one of the criteria below) | Frequency (%) |
|---|---|
| COVID-19 diagnostic tools | |
| PCR analysis | 34 (38.6) |
| PCR analysis plus thorax CT scan | 54 (64.4) |
| Only positive imaging | 14 (2.7) |
| Symptoms | |
| Fever | 86 (97.7) |
| Myalgia | 86 (97.7) |
| Headache | 60 (63.6) |
| Cough | 43 (48.8) |
| Vomiting | 32 (36.3) |
| Superimposed bacterial pneumonia | 27 (30.6) |
| Sore throat | 26 (29.5) |
| Diarrhea | 23 (26.1) |
| Loss of smell | 10 (11.3) |
| Admission to health care centers | 21 (20.56) |
| Mortality rate | 1 (0.19) |
Some symptoms were common in one patient.
CT – computed tomography, PCR – polymerase chain reaction.
Association between demographic features of rheumatic patients and COVID-19 infection
| Factors | COVID-19 infection | ||
|---|---|---|---|
| No Frequency (%) | Yes Frequency (%) | ||
| Gender | |||
| Female | 322 (78.5) | 68 (66.7) | 0.012 |
| Male | 88 (21.5) | 34 (33.3) | |
| Number of family members | |||
| ≤ 3 | 226 (55.1) | 48 (47.1) | 0.144 |
| > 3 | 184 (44.9) | 54 (52.9) | |
| Occupation status | |||
| Employed | 99 (24.1) | 33 (32.4) | 0.180 |
| Housewife | 264 (64.4) | 56 (54.9) | |
| Unemployed | 47 (11.5) | 13 (12.7) | |
| Type of occupation | |||
| Workplace | 78 (78) | 28 (87.5) | 0.773 |
| Telecommuting | 22 (22) | 4 (12.5) | |
| Type of job | |||
| High risk | 35 (35.4) | 10 (30.3) | 0.596 |
| Low risk | 64 (64.6) | 23 (69.7) | |
| Smoking | 16 (3.9) | 3 (2.9) | 0.643 |
| Addiction | 17 (4.2) | 3 (2.9) | 0.566 |
| Underlying disease | |||
| No disease | 309 (75.6) | 71 (69.6) | 0.058 |
| Diabetes | 18 | 9 | |
| Blood pressure | 58 | 14 | |
| Chronic renal failure | 1 | 0 | |
| Malignancy | 2 | 0 | |
| Diabetes and stroke | 0 | 1 | |
| Diabetes and blood pressure | 20 | 5 | |
| Chronic renal failure and blood pressure | 1 | 0 | |
| Diabetes, blood pressure and chronic renal failure | 0 | 1 | |
| Drugs | |||
| Methotrexate | |||
| Yes | 305 (74.4%) | 63 (61.8%) | 0.011 |
| No | 105 (25.6%) | 39 (38.2%) | |
| Sulfasalazine | |||
| Yes | 87 (21.2) | 16 (15.7) | 0.21 |
| No | 323 (78.8) | 86 (84.3) | |
| Hydroxychloroquine | |||
| Yes | 98 (23.9) | 10 (9.8) | 0.002 |
| No | 312 (76.1) | 56 (54.9) | |
| Cyclophosphamide | |||
| Yes | 4 (1) | 4 (3.9) | 0.032 |
| No | 406 (99) | 98 (96.1) | |
| Azathioprine | |||
| Yes | 10 (2.4) | 5 (4.9) | 0.18 |
| No | 400 (97.6) | 97 (95.1) | |
| Mycophenolate mofetil | |||
| Yes | 1 (0.2) | 1 (1) | 0.26 |
| No | 409 (99.8) | 101 (99) | |
| Biologic DMARDs (anti-TNFs and RTX) | |||
| Yes | 148 (37) | 44 (43.5) | 0.31 |
| No | 252 (63) | 57 (55.5) | |
χ2 test.
All health care staff and those who worked in crowded indoor workplaces, e.g. factory workers, who did not engage in teleworking during the lockdowns.
DMARDs – disease-modifying antirheumatic drugs, RTX – rituximab.
Association between biologic/conventional disease-modifying antirheumatic drugs and incidence of COVID-19 infection in rheumatic patients
| Type of treatment | COVID-19 infection | ||
|---|---|---|---|
| No Frequency (%) | Yes Frequency (%) | ||
| Rheumatic patients | |||
| bDMARDs | 148 (37) | 44 (43.5) | 0.315 |
| cDMARDs | 252 (63) | 57 (55.5) | |
| Rheumatoid arthritis | |||
| bDMARDs | 86 (29.9) | 23 (39) | 0.383 |
| cDMARDs | 202 (70.1) | 36 (61) | |
| Psoriatic arthritis | |||
| bDMARDs | 22 (47) | 6 (60) | 0.541 |
| cDMARDs | 25 (53) | 4 (40) | |
| Ankylosing spondylitis | |||
| bDMARDs | 20 (68.9) | 7 (63.6) | 0.786 |
| cDMARDs | 9 (31.1) | 4 (36.4) | |
| Behçet’s disease | |||
| bDMARDs | 9 (55.9) | 3 (33.3) | 0.410 |
| cDMARDs | 7 (44.1) | 6 (66.7) | |
| Granulomatosis with polyangiitis | |||
| bDMARDs | 7 (58.3) | 4 (40) | 0.400 |
| cDMARDs | 5 (41.7) | 6 (60) | |
DMARDs – biologic disease-modifying antirheumatic drugs, cDMARDs – conventional disease antirheumatic drugs.
Fig. 1Influence of biologic and conventional disease-modifying antirheumatic drugs on hospitalization of rheumatic patients infected with SARS-CoV-2. As presented, neither biologic nor conventional DMARDs significantly altered the hospitalization rate of rheumatic patients. Values are reported as mean ±SD of three independent experiments. Statistical significance was defined as p < 0.05.
Regression analysis of important risk factors for COVID-19 infection in rheumatic patients based on initial results
| Factors | OR | 95% CI | |
|---|---|---|---|
| Gender | 0.6 | 0.3–1.2 | 0.157 |
| Mask use | 0.5 | 0.1–2.2 | 0.419 |
| Hands hygiene | 0.3 | 0.07–2 | 0.277 |
| Prednisolone (> 10 mg/day) | 4.7 | 1.4–14.8 | 0.008 |
| Methotrexate | 0.5 | 0.3–1 | 0.073 |
| Hydroxychloroquine | 0.4 | 0.1–0.8 | 0.022 |
| Cyclophosphamide | 0.9 | 0.1–5.1 | 0.928 |