Iranian Journal of Medical Sciences

Document Type : Brief Report(s)

Authors

1 Golestan Rheumatology Research Center, Golestan University of Medical Sciences, Gorgan, Iran

2 Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran

Abstract

Recently, due to the coronavirus disease 2019 (COVID-19) pandemic, much concern has been raised about patients with chronic diseases who may become more susceptible to the disease. The present cross-sectional study aimed to characterize the clinical course of COVID-19 in patients with systemic lupus erythematosus (SLE). In addition, a possible correlation between the immunosuppression state and the incidence of COVID-19 is investigated. In May 2020, 500 SLE patients registered in the database of Golestan Rheumatology Research Center (Golestan province, Iran) were selected for this cross-sectional study. Using a questionnaire, patients were contacted by telephone to collect data including demographic characteristics, disease status, drug use, and new clinical symptoms. Data were analyzed using SPSS software version 24.0. Of the 500 selected patients, 355 responded to the phone calls and subsequently enrolled in the study. Among the enrolled patients, 25 were classified as COVID-19 positive, including eight hospitalized patients, of which two required intensive care and subsequently died. COVID-19 incidence was significantly lower in the immunosuppressed patients (2.2% vs. 10%, P=0.01). There was no significant correlation between hydroxychloroquine consumption and the incidence of COVID-19 in SLE patients. Fever, fatigue, dyspnea, and dry cough were the most common clinical symptoms. Our results showed that COVID-19 incidence was lower in immunosuppressed than the non-immunosuppressed SLE patients. Further studies are required to substantiate the role of immunosuppression in the development of COVID-19.
A preprint version of this study was published at https://www.researchsquare.com/article/rs-78704/v1 with doi: https://doi.org/10.21203/rs.3.rs-78704/v1

Keywords

What’s Known

Immunosuppressive drugs can make rheumatic patients susceptible to infectious diseases, and patients receiving these drugs are more prone to viral, bacterial, and fungal infections. The immunosuppression state is a risk factor for a severe form of common viral infections and is associated with poorer outcomes. However, this is not the case for the coronavirus family.

What’s New

In our study population, immunosuppressed systemic lupus erythematosus patients had fewer clinical symptoms or were less affected by COVID-19 than non-immunosuppressed patients. Pending further studies, it is suggested that immunosuppression is not only not a risk factor, but also contributes to better patient prognosis.

Introduction

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that may involve any of the organs of the human body in its clinical course. The pathogenesis of SLE is not clearly known, but it is thought to be related to the production of high levels of an immunogenic form of nucleic acids and other self-antigens, which drive autoimmune-inducing activation of innate immunity, autoantibodies, and T cells. SLE can manifest with a wide range of clinical signs and symptoms. 1 Common manifestations may include arthralgia and arthritis, malar and other skin rashes, pleuritis, pericarditis, renal or central nervous system involvement, and hematologic abnormalities. 2 Patients with SLE are more prone to develop infections and may present more severe forms than the normal population. Some of these patients are also on immunosuppressants, which makes them more susceptible to infections. 3 One of the most common causes of death in these patients is infection. 4

The Coronavirus disease 2019 (COVID-19) first emerged in Wuhan (China) and rapidly spread to other countries and became an international concern to the extent that it was declared a global pandemic. The most common symptoms of COVID-19 are fever, cough, fatigue, and dyspnea. Other symptoms include diarrhea, vomiting, nausea, rhinorrhea, sore throat, headache, sputum, anosmia, dysgeusia, anorexia, and muscle pain. 5

The immune system plays a major role in the development of COVID-19. The innate immune response to pulmonary tissue damage caused by the virus can lead to acute respiratory distress syndrome (ARDS), which can cause death in these patients. 6 , 7 It is therefore possible that weakness of the immune system in immunosuppressed patients has some advantages in relation to COVID-19. On the other hand, hydroxychloroquine (HCQ) is one of the most common drugs used in the treatment of SLE patients, and there are some reports claiming the beneficial effect of HCQ in treating COVID-19 patients. 8 , 9

Given the above, the objective of the present study is to investigate the clinical course of COVID-19 in SLE patients and evaluate the effect of HCQ on the development of COVID-19. In addition, a possible correlation between immunosuppression status and the incidence of COVID-19 is investigated.

Patients and Methods

In May 2020, 500 patients registered in the database of the Golestan Rheumatology Research Center (Golestan province, Iran) were selected for this cross-sectional study. The inclusion criteria were the diagnosis of SLE according to the 2019 European League Against Rheumatism (EULAR) or the 1997 American College of Rheumatology (ACR) classifications, and willingness to participate in the study. 10 , 11 Eventually, 355 patients were willing to participate and were included in the study. A data collection form was designed to classify patients according to the World Health Organization (WHO) COVID-19 case definitions. 12 Collected data included demographic characteristics, disease status, medications used, and new clinical symptoms. Through phone calls, the 355 participants were asked about their COVID-19-related symptoms, laboratory tests, clinical imaging, and hospitalizations. In accordance with the WHO definitions and based on the collected information, the patients were divided into three groups, namely suspected cases, probable cases, and confirmed cases. In the course of the study, we were unable to visit the SLE patients in person due to the imposed social distancing protocols, consideration for their health status, and measures to prevent the spread of COVID-19. Consequently, we could not perform laboratory tests to assess the SLE activity in these patients. Instead, the following criteria were used to determine active disease status.

  1. 1. The presence of SLE-related clinical symptoms within the previous two weeks, as confirmed by the patient’s rheumatologist.
  2. 2. Recent admission to hospital due to major SLE-related organ involvement.
  3. 3. Patients taking corticosteroids >15 mg per day.
  4. 4. Patients undergoing treatment with cyclophosphamide.
  5. 5. Patients taking mycophenolate mofetil >1500 mg per day.

We considered those using azathioprine, mycophenolate mofetil, or methotrexate >12.5 mg per week as immunosuppressed patients.

This study was approved by the Ethics Committee of Golestan University of Medical Sciences (code: IR.GOUMS.REC.1399.034). Written informed consent was obtained from all participants.

Statistical Analysis

Data were analyzed using SPSS software, version 24.0 (IBM Corp., USA). Quantitative data were expressed as mean±SD (standard deviation) and qualitative data as numbers and percentages. The Chi square test was used to assess the relationship between COVID-19 and qualitative variables. Student t test was used to assess the relationship between COVID-19 and quantitative variables with normal distribution. Mann-Whitney U test was used to assess the relationship between COVID-19 and quantitative variables that did not have a normal distribution. P<0.05 was considered statistically significant.

Results

The mean age of the 500 selected patients was 40.8±11.9 years, 458 (91.6%) of whom were women. We successfully contacted 355 (71%) of the patients to collect the required information. The mean age of the participants was 40.1±11.5 years, 326 (91.8%) of whom were women. Table 1 shows the demographic characteristics, disease status, comorbidities, medications, and organ involvement of the respondents.

Variables Respondents (n=355)
Age ( years, mean±SD) 40.1±11.5
Sex Female 326 (91.8%)
Male 29 (8.2%)
Duration of SLE ( years, mean±SD) 8.9±6.3
Active disease 34 (9.6%)
Comorbidities Diabetes mellitus 25 (7%)
Respiratory diseases 17 (4.8%)
Cardiovascular diseases 30 (8.5%)
Hypertension 76 (21.4%)
Medications Prednisolone 273 (76.9%)
HCQ 247 (69.6%)
Methotrexate 94 (26.5%)
Azathioprine 80 (22.5%)
Mycophenolate mofetil 42 (11.8%)
Organ involvements Mucocutaneous 232 (65.4%)
Musculoskeletal 305 (85.9%)
Renal 118 (33.2%)
Hematologic abnormalities 155 (43.7%)
Nervous system 104 (29.3%)
Pulmonary 51 (14.4%)
Eye 101 (28.5%)
Cardiac 32 (9%)
HCQ: Hydroxychloroquine; SLE: Systemic lupus erythematosus
Table 1.Demographics, primary disease status, comorbidities, medications, and organ involvement in our patient group.

Based on the WHO case definitions, 25 (7%) patients were classified as COVID-19 positive group, of which 11 (44%) were suspected cases, 11 (44%) were probable cases, and 3 (12%) were confirmed cases. The mean age of the COVID-19 positive group was 43.4±13.2 years, 23 (92%) of whom were women. Figure 1 shows the frequency distribution of COVID-19-related clinical symptoms in this group. Fever (68%), fatigue (68%), dyspnea (68%), and dry cough (64%) were the most common symptoms.

Figure 1. The figure shows the frequency distribution of clinical symptoms in the COVID-19 positive group. DLOC: Decreased level of consciousness

Of the 25 patients in the COVID-19 positive group, 8 (32%) needed hospitalization, of which two were admitted to the intensive care unit and later died. One of the deceased patients was a 63-year-old man with a two-year history of SLE. He had a history of respiratory disease and was using mycophenolate mofetil (1.5 g/d), prednisolone (15 mg/d), HCQ (400 mg/d), and methotrexate (10 mg/w). He also had SLE-related pulmonary involvement. The other deceased patient was a 63-year-old woman with a three-year history of SLE. She was using prednisolone (10 mg/d) and methotrexate (5 mg/w). The remaining patients (n=23) recovered from COVID-19. Table 2 shows the characteristics of the patients in the COVID-19 positive and negative groups. The mean age of the patients in the COVID-19 positive group was higher than the COVID-19 negative group, but the difference was not statistically significant. The incidence of COVID-19 was significantly higher in patients with a history of respiratory diseases than those without this comorbidity (29.4% vs. 5.9%, P<0.001). The results showed no correlation between major organ involvement and COVID-19. Besides, no significant differences were found between SLE activity and developing COVID-19. Furthermore, there was no correlation between HCQ and the incidence of COVID-19. To determine dose-rate effect, patients using HCQ were divided into two groups, namely high dose (>400 mg) and low dose (<400 mg). Although the incidence of COVID-19 was lower in the high dose group, the difference was not statistically significant (4.8% vs. 6.7%, P=0.55). Of the 355 SLE patients, 136 (38.3%) were immunosuppressed patients, and the incidence of COVID-19 was significantly higher in non-immunosuppressed patients (10% vs. 2.2%, P=0.01).

Characteristics Condition COVID-19 positive (n=25) COVID-19 negative (n=330) P value
Age (years, mean±SD) 43.4±13.2 39.8±11.4 0.13*
Women 23 (7.1%) 303 (92.9%) 0.97**
Duration of SLE (years, median [IQR]) 7 (9) 8 (9) 0.51***
Active disease Active 1 (2.9%) 33 (97.1%) 0.32*
Inactive 24 (7.5%) 297 (92.5%)
Comorbidities Diabetes mellitus Positive 2 (8%) 23 (92%) 0.84*
Negative 23 (7%) 307 (93%)
Cardiovascular Positive 0 (0%) 30 (100%) 0.11*
Negative 25 (7.7%) 300 (92.3%)
Hypertension Positive 6 (7.9%) 70 (92.1%) 0.743*
Negative 19 (6.8%) 260 (93.2%)
Respiratory disease Positive 5 (29.4%) 12 (70.6%) <0.001*
Negative 20 (5.9%) 318 (94.1%)
Organ involvement Mucocutaneous Positive 15 (6.5%) 217 (3.5) 0.56*
Negative 10 (8.1%) 113 91.9%)
Musculoskeletal Positive 23 (7.5%) 282 (92.5%) 0.36*
Negative 2 (4%) 48 (96%)
Renal Positive 8 (6.8%) 110 (93.2%) 0.89*
Negative 17 (7.2%) 220 (92.8%)
Hematologic abnormalities Positive 9 (5.8%) 146 (94.2%) 0.42*
Negative 16 (8%) 184 (92%)
Nervous system Positive 10 (9.6%) 94 (90.4%) 0.22*
Negative 15 (6%) 236 (94%)
Eye Positive 7 (6.9%) 94 (93.1%) 0.95*
Negative 18 (7.1%) 236 (92.9%)
Pulmonary Positive 5 (9.8%) 46 (90.2%) 0.40*
Negative 20 (6.6%) 284 (93.4%)
Cardiac Positive 3 (9. 4%) 29 (90.6%) 0.58*
Negative 22 (6.8%) 301 (93.2%)
Medications HCQ Positive 15 (6.1%) 232 (93.9%) 0.28*
Negative 10 (9.3%) 98 (90.7%)
Prednisolone Positive 16 (5.9%) 257 (94.1%) 0.11*
Negative 9 (11%) 73(89%)
Methotrexate Positive 10 (10.6%) 84(89.4%) 0.11*
Negative 15 (5.7%) 246 (94.3%)
Immunosuppressive drugs Positive 3 (2.2%) 133 (97.8%) 0.01*
Negative 22 (10%) 197 (90%)
*Chi square test; **Student t test (P<0.05 was considered significant); ***Mann-Whitney U test; HCQ: Hydroxychloroquine; IQR: Interquartile range
Table 2.Characteristics of the patients in the COVID-19 positive and COVID-19 negative groups

Discussion

Similar to other COVID-19 patients, the most common symptoms in the SLE patients in our study were fever, fatigue, dyspnea, and dry cough. 5 The incidence of COVID-19 was higher in patients with a history of chronic respiratory diseases. Our findings were in line with previous studies reporting that COVID-19 patients with a history of chronic pulmonary diseases develop a more severe clinical course and have poorer outcomes. 13 , 14 Further studies are required to clarify this correlation and evaluate the role of prior chronic respiratory disease as a risk factor for COVID-19.

Several studies have investigated the effect of the immunosuppression state on the clinical course of COVID-19. It is believed that immunosuppressed patients are prone to a more severe clinical course and have poorer outcomes when infected with common viral infections such as adenovirus, rhinovirus, norovirus, influenza, and respiratory syncytial virus. 15 , 16 In contrast, there is no consensus on the effect of the immunosuppression state on the clinical course of infection by coronaviruses. The host immune response appears to be the main cause of damage to lung tissues during the infection. The innate immune response to pulmonary damage caused by the severe acute respiratory syndrome coronavirus 2 (SARS-COV2) can lead to acute respiratory distress syndrome, which could be the cause of respiratory failure and death in these patients. Cytokine storm seems to play a major role in severe COVID-19 patients. Hence, in severe cases, blocking interleukin-6 (IL-6), interleukin-1 (IL-1), and tumor necrosis factor (TNF) might be beneficial. 6 , 7

The majority of viruses that have caused recent epidemics with high mortality rates are bat-related zoonoses. In many of these viruses, including coronavirus, the host response is believed to be a major contributor to the disease process. Bats are a natural host for coronaviruses. It has been suggested that bats’ immune system gives them a natural ability to tolerate the infection. 17 This could also be the case with immunocompromised patients infected with SARS-COV2. During the recent outbreaks of SARS-COV2 and the Middle East respiratory syndrome (MERS), immunosuppression was not a risk factor. 18 , 19

In a cross-sectional study at a transplantation center in Bergamo (Italy), D’Antiga evaluated 200 children who had undergone a liver transplant and reported that none developed clinical pulmonary disease despite three patients testing positive for COVID-19. 18 In a systematic review and meta-analysis, Minotti and colleagues evaluated 110 immunocompromised patients who were infected with SARS-COV2 and concluded that the outcome of this population was favorable compared to other comorbidities. 20 Overall, in line with other studies, we found a lower incidence of COVID-19 and its associated symptoms among immunosuppressed compared to non-immunosuppressed SLE patients.

As the main limitation of the study, we only considered patients with SLE and did not include other confounding factors. This may undermine the generalizability of our findings to other patients with immunosuppression. Especially when taking into account that, generally, immunosuppressed patients strictly adhere to COVID-19 quarantine and social distancing, which could have acted as a confounding factor in our study. To substantiate our findings, it is recommended to conduct further biochemical studies such as comparing cytokine levels between immunosuppressed patients and other patient groups.

Conclusion

Immunosuppression is not a risk factor for severe COVID-19 or increased mortality. Further studies are required to investigate the role of immunosuppression in the development and progression of COVID-19.

Acknowledgment

The authors would like to thank the SLE patients for their participation in the study.

Authors’ Contribution

M.D, N.A: Study design, acquisition, and analysis of data. M.A, S.T, S.S, Gh.R, M.H: Acquisition and analysis of data. All authors contributed to the drafting and critical revision of the manuscript for important intellectual content. All authors have read and approved the final manuscript and agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Conflict of Interest

None declared.

References

  1. Kasper D, Fauci A, Hauser S, Longo D, Jameson J, Loscalzo J. Harrison’s principles of internal medicine, 19e. Mcgraw-hill: New York; 2015.
  2. Cojocaru M, Cojocaru IM, Silosi I, Vrabie CD. Manifestations of systemic lupus erythematosus. Maedica (Bucur). 2011; 6:330-6. Publisher Full Text | PubMed
  3. Zandman-Goddard G, Shoenfeld Y. Infections and SLE. Autoimmunity. 2005; 38:473-85. DOI | PubMed
  4. Cervera R, Khamashta MA, Font J, Sebastiani GD, Gil A, Lavilla P, et al. Morbidity and mortality in systemic lupus erythematosus during a 10-year period: a comparison of early and late manifestations in a cohort of 1,000 patients. Medicine (Baltimore). 2003; 82:299-308. DOI | PubMed
  5. da Rosa Mesquita R, Francelino Silva Junior LC, Santos Santana FM, Farias de Oliveira T, Campos Alcantara R, Monteiro Arnozo G, et al. Clinical manifestations of COVID-19 in the general population: systematic review. Wien Klin Wochenschr. 2021; 133:377-82. Publisher Full Text | DOI | PubMed
  6. Shi Y, Wang Y, Shao C, Huang J, Gan J, Huang X, et al. COVID-19 infection: the perspectives on immune responses. Cell Death Differ. 2020; 27:1451-4. Publisher Full Text | DOI | PubMed
  7. Schultze JL, Aschenbrenner AC. COVID-19 and the human innate immune system. Cell. 2021; 184:1671-92. Publisher Full Text | DOI | PubMed
  8. Gao J, Tian Z, Yang X. Breakthrough: Chloroquine phosphate has shown apparent efficacy in treatment of COVID-19 associated pneumonia in clinical studies. Biosci Trends. 2020; 14:72-3. DOI | PubMed
  9. Cortegiani A, Ingoglia G, Ippolito M, Giarratano A, Einav S. A systematic review on the efficacy and safety of chloroquine for the treatment of COVID-19. J Crit Care. 2020; 57:279-83. Publisher Full Text | DOI | PubMed
  10. Aringer M, Costenbader K, Daikh D, Brinks R, Mosca M, Ramsey-Goldman R, et al. 2019 European League Against Rheumatism/American College of Rheumatology Classification Criteria for Systemic Lupus Erythematosus. Arthritis Rheumatol. 2019; 71:1400-12. Publisher Full Text | DOI | PubMed
  11. Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum. 1997; 40:1725. DOI | PubMed
  12. Organization(WHO) WH. Global surveillance for COVID-19 caused by human infection with COVID-19 virus 2020. [cited 23 May 2020]. Available from: https://www.who.int/docs/default-source/coronaviruse/2020-03-20-surveillance.pdf?sfvrsn=e6be6ef1_2.
  13. Gulsen A, Konig IR, Jappe U, Dromann D. Effect of comorbid pulmonary disease on the severity of COVID-19: A systematic review and meta-analysis. Respirology. 2021; 26:552-65. Publisher Full Text | DOI | PubMed
  14. Pranata R, Soeroto AY, Huang I, Lim MA, Santoso P, Permana H, et al. Effect of chronic obstructive pulmonary disease and smoking on the outcome of COVID-19. Int J Tuberc Lung Dis. 2020; 24:838-43. DOI | PubMed
  15. Kaltsas A, Sepkowitz K. Community acquired respiratory and gastrointestinal viral infections: challenges in the immunocompromised host. Curr Opin Infect Dis. 2012; 25:423-30. DOI | PubMed
  16. Memoli MJ, Athota R, Reed S, Czajkowski L, Bristol T, Proudfoot K, et al. The natural history of influenza infection in the severely immunocompromised vs nonimmunocompromised hosts. Clin Infect Dis. 2014; 58:214-24. Publisher Full Text | DOI | PubMed
  17. Mandl JN, Ahmed R, Barreiro LB, Daszak P, Epstein JH, Virgin HW, et al. Reservoir host immune responses to emerging zoonotic viruses. Cell. 2015; 160:20-35. Publisher Full Text | DOI | PubMed
  18. D’Antiga L. Coronaviruses and Immunosuppressed Patients: The Facts During the Third Epidemic. Liver Transpl. 2020; 26:832-4. DOI | PubMed
  19. Hui DS, Azhar EI, Kim YJ, Memish ZA, Oh MD, Zumla A. Middle East respiratory syndrome coronavirus: risk factors and determinants of primary, household, and nosocomial transmission. Lancet Infect Dis. 2018; 18:e217-e27. Publisher Full Text | DOI | PubMed
  20. Minotti C, Tirelli F, Barbieri E, Giaquinto C, Dona D. How is immunosuppressive status affecting children and adults in SARS-CoV-2 infection? A systematic review. J Infect. 2020; 81:e61-e6. Publisher Full Text | DOI | PubMed