| Literature DB >> 32564068 |
P C Grunert1, P A Reuken1, J Stallhofer1, N Teich2, A Stallmach1.
Abstract
BACKGROUND: The coronavirus disease 2019 [COVID-19] pandemic is affecting lives worldwide. The influence of inflammatory bowel disease [IBD] medication and IBD itself on COVID-19 is controversial. Additionally, IBD-focused guidance is scarce.Entities:
Keywords: COVID-19; Inflammatory bowel disease; patient behaviour
Mesh:
Substances:
Year: 2020 PMID: 32564068 PMCID: PMC7337669 DOI: 10.1093/ecco-jcc/jjaa126
Source DB: PubMed Journal: J Crohns Colitis ISSN: 1873-9946 Impact factor: 9.071
Participant demographics and characteristics
| IBD, | Controls, | ||
|---|---|---|---|
| Age, years, mean [min; max] | 45 [18; 82] | 48 [18;82] | |
| Age under 60 years, | 341 [82.2%] | 87 [75.0%] | |
| Sex | Female, | 227 [54.7%] | 66 [56.9%] |
| Education, | Junior high school [ | 43 [10.4%] | 10 [8.7%] |
| Secondary school [ | 185 [44.6%] | 47 [40.9%] | |
| High school | 53 [12.8%] | 19 [16.5%] | |
| College degree | 125 [30.1%] | 38 [33.0%] | |
| Smoker | Yes, | 65 [15.7%] | 30 [25.9%] |
| Influenza vaccination | Yes, | 175 [42.2%] | 52 [44.8%] |
|
| |||
| Lung disease, | Asthma | 32 [7.7%] | 4 [3.4%] |
| COPD | 8 [1.9%] | 0 | |
| Other | 4 [1.0%] | 1 [0.9%] | |
| Cardiac disease, | Coronary heart disease | 13 [3.1%] | 4 [3.4%] |
| Arterial hypertension | 73 [17.6%] | 21 [18.1%] | |
| Other | 4 [1.0%] | 2 [1.7%] | |
| Liver disease, | Primary sclerosing cholangitis | 11 [2.7%] | 2 [1.7%] |
| Liver cirrhosis | 2 [0.5%] | 1 [0.9%] | |
| NAFLD | 32 [7.7%] | 2 [1.7%] | |
| Autoimmune hepatitis | 1 [0.2%] | 0 | |
| Primary biliary cholangitis | 1 [0.2%] | 1 [0.9%] | |
| Other | 0 | 2 [1.7%] | |
| Diabetes, | 23 [5.5%] | 9 [7.8%] | |
| Kidney disease, | 5 [1.2%] | 1 [0.9%] | |
| Rheumatological disease, | 29 [7.0%] | 0 | |
| Malignancy, | 8 [1.9%] | 1 [0.9%] | |
| Organ transplantation, | 2 [0.5%] | 0 | |
| Other comorbidities | 67 [16.1%] | 9 [7.8%] | |
| Number of comorbidities | 0 | 208 [50.1%] | 73 [62.9%] |
| 1 | 131 [31.6%] | 31 [26.7%] | |
| 2 | 50 [12.0%] | 10 [8.6%] | |
| 3 | 19 [4.6%] | 1 [0.9%] | |
| 4 | 5 [1.2%] | 1 [0.9%] | |
| 5 | 1 [0.2%] | 0 | |
| 7 | 1 [0.2%] | 0 |
COPD, chronic obstructive pulmonary disease; NAFLD, non-alcoholic fatty liver disease.
IBD patient characteristics
|
| ||
|---|---|---|
| Type of IBD | Not specified | 3 [0.7%] |
| Crohn’s disease | 215 [51.8%] | |
| Ulcerative colitis | 192 [46.3%] | |
| IBDU | 5 [1.2%] | |
| Clinical activity of IBD | Remission | 233 [56.1%] |
| Mildly active | 127 [30.6%] | |
| Chronically active | 50 [12.0%] | |
| Flare | 2 [0.5%] | |
|
| ||
| Corticosteroids | 54 [13.0%] | |
| Mesalazine/sulfasalazine | 143 [34.5%] | |
| Anti-TNF | 99 [23.9%] | |
| Ustekinumab | 46 [11.1%] | |
| Vedolizumab | 49 [11.8%] | |
| JAK inhibitors | 14 [3.4%] | |
| Immunomodulators [azathioprine, 6-MP, MTX] | 70 [16.9%] | |
| Calcineurin inhibitors | 4 [1.0%] | |
| Other immunosuppression | 4 [1.0%] | |
|
| 0 | 149 [35.9%] |
| 1 | 212 [51.1%] | |
| 2 | 48 [11.6%] | |
| 3 | 6 [1.4%] |
IBDU, IBD unclassified; JAK, Janus kinase; MTX, methotrexate; Anti-TNF, anti-tumour necrosis factor alpha therapy; Other immunosuppression: guselkumab, eculizumab, chemotherapy for colon cancer, leflunomide.
Figure 1.Subgroup analysis of different IBD medications for Likert-scale questions 1, 2, 6 and 8. Q6 = I would prefer a video consultation over a face-to-face consultation. For questions 1, 2 and 8 all subgroups were compared to the control group. The top five bars represent subgroups of patients from the IBD group taking different medications, and the bottom two bars represent all controls and all patients with IBD [Q1, Q2, Q8] or all patients with IBD Q6. No immunosuppression = 5-aminosalicylates or no medication [Mann–Whitney U-test, *p < 0.05].
Results of closed-ended questions and statements concerning coronavirus exposition and behaviour/coping strategy. Significant differences are shown in bold type [Fisher’s exact test, p < 0.05]
| IBD, | Controls, |
| ||
|---|---|---|---|---|
| ‘I was infected with SARS-CoV-2’ | Yes, % | 0% | 0.9% | 0.216 |
| ‘I had exposure to a SARS-CoV-2-infected person’ | Yes, % | 1.7% | 10.5% |
|
| ‘I reduced my medication on my own account’ | Yes, % | 3.8% | 0% | n.a. |
| ‘I wear personal protective equipment when leaving the house’ | Yes, % | 34.5% | 50.9% |
|
| If yes, ‘Did you handcraft your facemask?’ | Yes, % | 38.6% | 36.2% | 0.872 |
| ‘I wash my hands more frequently’ | Yes, % | 91.8% | 90.4% | 0.705 |
| ‘I tried to contact my physician’ | Yes, % | 25.6% | 15.9% |
|
| If yes, ‘Family physician or gastroenterologist?’ | ||||
| Family physician, % | 53.3% | 100% | ||
| Gastroenterologist, % | 46.7% | 0% | ||
| If yes, ‘Could you reach the physician?’ | Yes, % | 90.0% | 93.3% |