| Literature DB >> 36166068 |
Frauke Stascheit1,2, Ulrike Grittner3,4, Sarah Hoffmann1,2, Philipp Mergenthaler1,2,5, Michael Schroeter6, Tobias Ruck7, Mark Pawlitzki7, Franz Blaes8, Julia Kaiser9, Ulrike Schara10, Adela Della-Marina10, Andrea Thieme11, Tim Hagenacker12, Christian Jacobi13, Benjamin Berger14,15, Peter P Urban16, Karl Christian Knop17, Berthold Schalke18, De-Hyung Lee18, Petra Kalischewski19, Heinz Wiendl20, Andreas Meisel21,22,23.
Abstract
BACKGROUND: Patients with myasthenia gravis (MG) are potentially prone for a severe COVID-19 course, but there are limited real-world data available on the risk associated with COVID-19 for patients with MG. Here, we investigate whether current immunosuppressive therapy (IST) influences the risk of SARS-CoV-2 infection and COVID-19 severity.Entities:
Keywords: COVID-19; German myasthenia gravis registry; Immunosuppressive therapies; Myasthenia gravis; Outcome
Year: 2022 PMID: 36166068 PMCID: PMC9512984 DOI: 10.1007/s00415-022-11389-0
Source DB: PubMed Journal: J Neurol ISSN: 0340-5354 Impact factor: 6.682
Characteristics of patients with myasthenia gravis and with or without immunosuppressive therapy before and after propensity score matching
| Patients with IST | Patients without IST | SMD | Matched patients with ISTa | Matched patients without IST | SMD | |
|---|---|---|---|---|---|---|
| 1164 | 215 | 949 patients in 203 clusters | 203 | |||
| Sex male, | 531 (45.5%) | 71 (32.1%) | 0.28 | 66.6 (32.8%) | 68 (33.5%) | 0.02 |
| Age in years, mean (SD) | 59 (18) | 56 (19) | 0.19 | 57 (10) | 57 (18) | 0.02 |
| diagnosis | ||||||
| MG | 1145 (98.4%) | 208 (96.7%) | 0.23 | 196.3 (96.7%) | 197 (97.0%) | |
| LEMS | 19 (1.6%) | 7 (3.3%) | 5.9 (2.9%) | 5 (2.5%) | ||
| Disease duration in months, median (IQR) (34 missing’s) | 59 (23–123) | 42 (10–133) | 0.05 | 79 (55–132) | 42 (11–134) | 0.02 |
| Thymectomy, n (%) (4 missing’s) | 473 (40.7%) | 79 (35.7%) | 0.10 | 82.0 (40.4%) | 78 (38.4%) | 0.05 |
| MGFA (13 missing’s) | 0.53 | 0.05 | ||||
| 0 | 61 (5.0%) | 12 (5.5%) | 11.8 (5.8%) | 11 (5.4%) | ||
| I | 210 (18.2%) | 73 (33.3%) | 62.7 (30.9%) | 67 (33.0%) | ||
| II A | 298 (25.8%) | 57 (26.0%) | 58.3 (28.7%) | 55 (27.1%) | ||
| II B | 310 (26.8%) | 60 (27.4%) | 58.3 (28.7%) | 57 (28.1%) | ||
| III A | 92 (8.0%) | 7 (3.2%) | 3.2 (1.6%) | 4 (2.0%) | ||
| III B | 121 (10.5%) | 7 (3.2%) | 7.1 (3.5%) | 7 (3.4%) | ||
| IV A/IV B /V | 64 (5.5%) | 3 (1.4%) | 1.6 (0.8%) | 2 (1.0%) | ||
| Comorbidities present, | 945 (81.0%) | 181(81.9%) | 0.02 | 162.0 (79.8%) | 166 (81.8%) | 0.06 |
| Autoimmune disease, | 273 (23.4%) | 50 (22.6%) | 0.02 | 52.8 (26.0%) | 45 (22.2%) | 0.11 |
| Diabetes mellitus type II, | 154 (13.2%) | 28 (12.7%) | 0.02 | 24.6 (12.1%) | 26 (12.8%) | 0.03 |
| Arterial hypertension, | 413 (35.4%) | 73 (33.0%) | 0.05 | 65.4 (32.2%) | 71 (35.0%) | 0.07 |
| Heart failure, | 23 (2.0%) | 1 (0.5%) | 0.14 | 1.2 (0.6%) | 1 (0.5%) | 0.02 |
| Atrial fibrillation, | 67 (5.7%) | 10 (4.5%) | 0.06 | 9.3 (4.6%) | 10 (4.9%) | 0.02 |
| Obesity, | 24 (2.1%) | 5 (2.3%) | 0.01 | 3.9 (1.9%) | 4 (2.0%) | 0.01 |
| COPD, | 62 (5.3%) | 3 (1.4%) | 0.22 | 4.1 (2.0%) | 3 (1.5%) | 0.05 |
| Asthma, | 119 (10.2%) | 28 (12.7%) | 0.08 | 23.3 (11.5%) | 27 (13.3%) | 0.07 |
| Cancer, | 123 (10.5%) | 22 (10.0%) | 0.02 | 19.7 (9.7%) | 22 (10.8%) | 0.05 |
| Stroke, | 34 (2.9%) | 7 (3.2%) | 0.01 | 5.9 (2.9%) | 7 (3.4%) | 0.04 |
| Dementia, | 6 (0.5%) | 1 (0.5%) | < 0.01 | 0.8 (0.4%) | 1 (0.5%) | 0.02 |
| SARS-CoV-2 infection | 76 (6.5%) | 19 (8.6%) | 0.08 | 10.4 (5.1%) | 16 (7.9%) | 0.13 |
Data are presented as mean (SD), n (%) or median (IQR) showing differences in numbers and characteristics of MG patients with or without immunosuppressive therapy (IST) before and after propensity score matching and were compared by standardized mean differences (SMD). Variables used for matching were age, diagnosis, thymectomy, presence of autoimmune disease, diabetes, arterial hypertension, heart failure, atrial fibrillation, obesity, chronic obstructive lung disease (COPD), asthma, cancer, stroke, and dementia. For COPD and atrial fibrillation exact matching was used. For age, a caliper of 0.5 was chosen. Disease duration is the time from diagnosis until examination date
Abbreviations: COPD chronic obstructive pulmonary disease, LEMS Lambert–Eaton-Myasthenic Syndrome, IST immunosuppressive therapy, IQR interquartile range, MG myasthenia gravis, MGFA Myasthenia gravis foundation of America classification, n number of included patients, SD standard deviation, SMD standardized mean differences
aBased on average measures on cluster level
bBased on log-transformed values
Multivariable binary logistic regression model in total and generalized estimation equation binary logistic regression model in matched myasthenia gravis patients for SARS-CoV-2 infection with regard to immunosuppression status
| Non-matched MG patients ( | Matched MG patients ( | |||
|---|---|---|---|---|
| OR (95% CI) for COVID-19 infection | OR (95% CI) for COVID-19 infection | |||
| No corticosteroids and no immune suppression (reference) | 1 | 1 | ||
| Only corticosteroids | 0.82 (0.41–1.66) | 0.589 | 0.74 (0.35–1.60) | 0.445 |
| First line IST (AZT, MMF, MTX, CSA) | 0.56 (0.31–1.01) | 0.052 | 0.60 (0.32–1.12) | 0.107 |
| Escalation therapy with rituximab | 0.59 (0.23–1.56) | 0.289 | 0.85 (0.29–2.51) | 0.769 |
| Age in decades | 1.00 (0.99–1.02) | 0.692 | – | |
| Sex male, ref: female | 1.10 (0.68–2.09) | 0.541 | – | |
| Comorbidities present, ref: no comorbidities present | 1.19 (0.68–2.09) | 0.541 | – | |
| MGFA, ref: 0 | – | |||
| I | 0.39 (0.16–0.97) | 0.043 | – | |
| II A | 0.53 (0.22–1.25) | 0.146 | – | |
| II B | 0.50 (0.21–1.18) | 0.112 | – | |
| III A | 0.80 (0.28–2.28) | 0.672 | – | |
| III B | 0.70 (0.25–1.94) | 0.491 | – | |
| IV A/IV B/V | 1.10 (0.36–3.33) | 0.868 | – | |
Odds ratios (OR) and 95% confidence interval (CI) for SARS-CoV-2-infected myasthenia gravis (MG) patients from multivariable binary logistic regression (left side) adjusted for age, sex, MGFA score, and thymectomy status (n = 1352, Nagelkerke R Square: 0.02), and from generalized estimation equation (GEE) binary logistic regression model (right side) after propensity score matching (n = 203 matched groups, 936 individuals) without further adjustment
Abbreviations: AZT azathioprine, CI confidence interval, CSA cyclosporine A, GEE generalized estimation equation, IST immunosuppressive therapy, MG myasthenia gravis, MGFA Myasthenia gravis foundation of America classification, MMF mycophenolate mofetil, MTX methotrexate, n number of included patients, OR odds ratio
aPatients treated with eculizumab (n = 20) or missing covariate data (n = 16) were excluded from matched and non-matched analysis
Characteristics of myasthenia gravis patients with COVID-19
| Non-hospitalized patients | Hospitalized and/or deceased patients | SMD | Hospitalized patients (survivors, no intensive care) | Patients with intensive care (survivors) | Deceased patients | |
|---|---|---|---|---|---|---|
| 63 | 32 | 15 | 6 | 11 | ||
| Sex male, | 21 (33.3%) | 18 (56.3%) | 0.47 | 8 (53.3%) | 4 (66.7%) | 6 (54.5%) |
| Age in years, mean (SD) | 53 (18) | 68 (15) | 0.94 | 63 (13) | 66 (21) | 76 (11) |
| Disease duration in months, median (IQR) (3 missing’s) | 64 (26–123) | 65 (29–163) | 0.11a | 51 (27–232) | 31 (7–111) | 109 (47–160) |
| Thymectomy, | 28 of 60 (46.7%) | 11 of 31 (35.5%) | 0.23 | 8 (53.3%) | 2 (33.3%) | 1 (10.0%) |
| MGFA | 0.83 | |||||
| 0 | 4 (6.3%) | 4 (12.5%) | 2 (13.3%) | 1 (16.7%) | 1 (9.1%) | |
| I | 12 (19.0%) | 3 (9.4%) | 1 (6.7%) | – | 2 (18.2%) | |
| II A | 15 (23.8%) | 8 (25.0%) | 6 (40.0%) | – | 2 (18.2%) | |
| II B | 17 (27.0%) | 5 (15.6%) | 3 (20.0%) | 2 (33.3%) | – | |
| III A | 8 (12.7%) | 1 (3.1%) | – | – | 1 (9.1%) | |
| III B | 5 (7.9%) | 4 (12.5%) | 1 (6.7%) | 3 (50.0%) | – | |
| IV A/IV B/V | 2 (3.2%) | 7 (21.9%) | 2 (13.3%) | – | 5 (45.5%) | |
| Comorbidities present, | 46 (73.0%) | 28 (87.5%) | 0.37 | 12 (80.0%) | 5 (83.3%) | 11 (100.0%) |
| Autoimmune disease, | 14 (22.2%) | 5 (15.6%) | 0.17 | 2 (13.3%) | 1 (16.7%) | 2 (18.2%) |
| Diabetes type II, | 5 (7.9%) | 5 (15.6%) | 0.24 | – | 1 (16.7%) | 4 (36.4%) |
| Arterial hypertension, | 21 (33.3%) | 16 (50.0%) | 0.34 | 6 (40.0%) | 4 (66.7%) | 6 (54.5%) |
| Heart failure, | – | 3 (9.4%) | 0.46 | 2 (13.3%) | – | 1 (9.1%) |
| Atrial fibrillation, | 6 (9.5%) | 4 (12.5%) | 0.10 | – | – | 4 (36.4%) |
| Obesity, | 1 (1.6%) | 3 (9.4%) | 0.35 | 1 (6.7%) | 1 (16.7%) | 1 (9.1%) |
| COPD, | 2 (3.2%) | 8 (25.0%) | 0.66 | 3 (20.0%) | 2 (33.3%) | 3 (27.3%) |
| Asthma, | 9 (14.3%) | 2 (6.3%) | 0.27 | 1 (6.7%) | – | 1 (9.1%) |
| Cancer, | 4 (6.3%) | 6 (18.8%) | 0.38 | 4 (26.7%) | – | 2 (18.2%) |
| Stroke, | 1 (1.6%) | 2 (6.3%) | 0.24 | 1 (6.7%) | 1 (16.7%) | – |
| Dementia, | – | 2 (6.3%) | 0.37 | – | 1 (16.7%) | 1 (9.1%) |
| Current MG-specific IST | 0.48 | |||||
| No immune suppression, | 14 (22.2%) | 5 (15.6%) | 2 (13.3%) | 1 (16.7%) | 2 (18.2%) | |
| Only steroids, | 15 (23.8%) | 3 (9.4%) | – | 1 (16.7%) | 2 (18.2%) | |
| Standard IST (AZT, MMF, MTX, CSA), | 29 (46.0%) | 20 (62.5%) | 11 (73.3%) | 4 (66.7%) | 5 (45.5%) | |
| Escalation therapy | ||||||
| Rituximab, | 4 (6.3%) | 3 (9.4%) | 1 (6.7%) | – | 2 (18.2%) | |
| Eculizumab, | 1 (1.6%) | 1 (3.1%) | 1 (6.7%) | – | – |
Data are presented as mean (SD), n (%) or median (IQR) showing standardized mean differences (SDM) of hospitalized versus non-hospitalized MG patients with COVID-19 and clinical characteristics of hospitalized and deceased patients
Abbreviations: AZT azathioprine, COPD chronic obstructive pulmonary disease, CSA cyclosporine A, IST immunosuppressive therapy, IQR interquartile range, MG myasthenia gravis, MGFA Myasthenia Gravis Foundation of America classification, MMF mycophenolate mofetil, MTX methotrexate, n number of included patients, SD standard deviation, SDM standardized mean differences
a based on log-transformed data
Multivariable binary logistic regression models for risk of hospitalization or death in patients with COVID-19 with regard to immunosuppressive status
| Model 1 | Model 2 | ||||
|---|---|---|---|---|---|
| OR (95% CI) for hospitalization or death | OR (95% CI) for hospitalization or death | ||||
| No IST or only corticosteroids (reference) | 1 | No IST or only corticosteroids (reference) | 1 | ||
| First line IST (AZT, MMF, MTX, CSA) | 2.86 (0.94–8.73) | 0.064 | First line IST (AZT, MMF, MTX, CSA) or escalation therapy (rituximab) | 3.04 (1.02–9.06) | 0.046 |
| Escalation therapy (rituximab) | 5.03 (0.72–35.01) | 0.103 | |||
| Age in decades | 1.80 (1.22–2.64) | 0.003 | Age in decades | 1.76 (1.21–2.56) | 0.003 |
| Sex male, ref: female | 1.43 (0.50–4.04) | 0.506 | Sex male, ref: female | 1.43 (0.51–4.04) | 0.501 |
| Comorbidities present, ref: no comorbidities present | 0.85 (0.19–3.86) | 0.835 | Comorbidities present, ref: no comorbidities present | 0.90 (0.20–4.03) | 0.889 |
Odds ratios (OR) and 95% confidence interval (CI) for hospitalization and death within the group of COVID-19 patients. Multivariable binary logistic regression models were calculated adjusted for age, sex and the presence of comorbidities. Patients treated with eculizumab were excluded from this analysis due to mode of action. In model 2 patients receiving rituximab were included to patients receiving first-line IST due to the low case number (n = 7)
Abbreviations: AZT azathioprine, CI confidence interval, CSA cyclosporine A, IST immunosuppressive therapy, MMF mycophenolate mofetil, MTX methotrexate, OR odds ratio