| Literature DB >> 35089397 |
Hiroshi Nakase1, Yuki Hayashi2, Daisuke Hirayama2, Takayuki Matsumoto3, Minoru Matsuura4, Hideki Iijima5, Katsuyoshi Matsuoka6, Naoki Ohmiya7, Shunji Ishihara8, Fumihito Hirai9, Daiki Abukawa10, Tadakazu Hisamatsu4.
Abstract
BACKGROUND: The spread of coronavirus disease 2019 (COVID-19) had a major impact on the health of people worldwide. The clinical background and clinical course of inflammatory bowel disease (IBD) among Japanese patients with COVID-19 remains unclear.Entities:
Keywords: Anti-TNF-α antibodies; COVID-19; Inflammatory bowel disease; SARS-CoV-2; Steroid
Mesh:
Year: 2022 PMID: 35089397 PMCID: PMC8795939 DOI: 10.1007/s00535-022-01851-1
Source DB: PubMed Journal: J Gastroenterol ISSN: 0944-1174 Impact factor: 7.527
Fig. 1(A) Age distribution of Japanese IBD patients with COVID-19. (B) Transition of the number of Japanese IBD with COVID-19
The characteristics of IBD patients with COVID-19
| Patients’ profile | |
| Age (years) ± SD | 42.0 ± 15.6 |
| Gender (M/F) (n) | 115 / 72 |
| Height (cm) ± SD | 166.0 ± 9.4 |
| Weight (kg) ± SD | 61.0 ± 12.4 |
| BMI ± SD | 21.6 ± 4.4 |
| BMI > 30 (n) | 9 |
| Smoker (current) (%) | 13/187 (7.0%) |
| All comorbidity (%) | 58/187(31.0%) |
| Diagnosis of IBD | |
| UC | 104 |
| CD | 74 |
| IBD-U | 3 |
| Intestinal BD | 6 |
| SU | 0 |
| Disease activity (at diagnosis of COVID-19) | |
| Remission | 136 |
| Mild | 42 |
| Moderate | 5 |
| Severe | 4 |
Fig. 2(A) SARS-CoV-2 vaccination coverage (%) in Japanese population. Vaccination coverage was calculated among all citizens who were eligible for vaccination, using vaccination records published by the Cabinet Secretariat Office, based on reports from the Vaccination Record System. (B) Transition of the number of Japanese IBD with COVID-19 stratified by age
Fig. 3Treatment of Japanese IBD at the diagnosis of COVID-19. A blue bar indicated treatment continuation, an orange bar indicated treatment discontinuation, and a gray bar indicated additional treatment
Clinical factors associated with COVID-19 severity in Japanese IBD patients
| Factor | Non-severe | Severe | Fisher-test | Fisher-test odds |
|---|---|---|---|---|
| Age ± SD | 40.7 ± 15.2 | 59.3 ± 11.9 | 0.00005 | – |
| Gender M/F | 107/65 | 7/5 | 0.76800 | 1.17 |
| BMI [IQR] | 21.5 [19.3–26.6] | 24.2 [23.1–29.2] | 0.00467 | – |
| Comorbidity | ||||
| DM | 4/172 | 1/12 | 0.28900 | 3.80 |
| CKD | 4/172 | 0/12 | 1.00000 | 0.00 |
| Liver diseases | 8/171 | 0/12 | 1.00000 | 0.00 |
| Asthma | 7/171 | 2/12 | 0.11000 | 4.60 |
| COPD | 0/172 | 0/12 | – | – |
| Other respiratory illness | 2/172 | 2/12 | 0.02180 | 16.30 |
| Cardiovascular diseases | 4/172 | 0/12 | 1.00000 | 0.00 |
| HT | 9/172 | 4/12 | 0.00551 | 8.80 |
| Cerebrovascular diseases | 2/172 | 2/12 | 0.02180 | 16.30 |
| Malignancy | 2/172 | 0/12 | 1.00000 | 0.00 |
| All | 47/172 | 9/12 | 0.00133 | 7.87 |
| Smoking | ||||
| Never | 121 | 6 | 0.11700 | – |
| Current | 12 | 1 | ||
| P ast smoking | 29 | 5 | ||
IBD phenotype and treatments associated with COVID-19 severity in Japanese IBD patients
| Factor | Non-severe | Severe | Fisher-test | Fisher-test odds | |
|---|---|---|---|---|---|
| Diagnosis of IBD | UC | 90 | 11 | 0.06480 | – |
| CD | 73 | 1 | |||
| IBD-U | 3 | 0 | |||
| BD | 6 | 0 | |||
| SU | 0 | 0 | |||
| Clinical phenotype | |||||
| UC | Proctitis | 14 | 1 | 0.93200 | – |
| Left side | 28 | 4 | |||
| Pancolitis | 45 | 5 | |||
| segmental | 3 | 0 | |||
| CD | Ileitis | 18 | 0 | 0.93200 | – |
| Colitis | 15 | 0 | |||
| Ileo-colitis | 42 | 1 | |||
| Isolated upper | 14 | 1 | |||
| Disease activity (at diagnosis of COVID-19) | Remission | 124 | 10 | 0.24600 | – |
| Mild | 40 | 1 | |||
| Moderate | 5 | 0 | |||
| Severe | 3 | 1 | |||
| IBD treatment | 5-ASA p.o | 132/170 | 12/12 | 0.07430 | Inf |
| Thiopurine | 55/172 | 2/12 | 0.34700 | 0.43 | |
| Steroid | 6/170 | 2/12 | 0.08950 | 5.37 | |
| Budesonide | 6/172 | 0/12 | 1.00000 | 0.00 | |
| Calcineurin-inhibitors | 0/172 | 0/12 | – | – | |
| Anti-TNFα antibodies | 73/171 | 1/12 | 0.02920 | 0.12 | |
| Anti-IL-12/23p40 | 6/172 | 0/12 | 1.00000 | 0.00 | |
| Anti-α4β7 | 4/172 | 0/12 | 1.00000 | 0.00 | |
| JAK-inhibitor | 1/170 | 0/12 | 1.00000 | 0.00 | |
Missing values: three UC patients whose severity of COVID-19 according to WHO classification was not known
Risk factor of COVID-19 severity in Japanese IBD patients
| Risk factor | Odds ratio | |
|---|---|---|
| Age | 1.07 | 0.0101 |
| BMI | 1.18 | 0.00812 |
| 5-ASA | 1.34E + 07 | 0.992 |
| Steroid | 1.74 | 0.0218 |
Logistic regression AIC = 66.39
Method: logistic regression analysis Stepwise method (AIC, backward/forward)
Objective variable: COVID-19 severity in the WHO classification
Explanatory variables: age, presence of comorbidities, BMI, IBD diagnosis, and IBD treatment
COVID-19 cases after vaccination
| Age | Sex | Days from vaccination date (1st dose) to infection | Breakthrough cases | BMI | Diagnosis | Disease activity of IBD | Treatment of IBD | Others | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| At diagnosis of COVID-19 | During COVID-19 | Post COVID-19 | 5-ASA | IM | anti-TNFα antibodies | |||||||
| 48 | M | 20 | No | 25.3 | CD | Mild | Mild | Mild | Suspension | Suspension | Continuation | – |
| 45 | M | 27 | No | 22.4 | CD | Remission | Remission | Remission | Continuation | Suspension | Suspension | – |
| 40 | M | 9 | No | 24.5 | UC | Remission | Remission | Remission | Continuation | – | – | – |
| 38 | F | 9 | No | NA | CD | Remission | Remission | Remission | – | – | Suspension | – |
| 28 | M | 116 | Yes | 19.2 | UC | Remission | Remission | Remission | – | Suspension | Suspension | – |
| 59 | F | 43 | Yes | 21.2 | UC | Remission | Remission | Remission | Continuation | – | Suspension | – |
| 64 | F | 26 | No | 12.6 | CD | Remission | Remission | Remission | Continuation | – | Continuation | – |
| 44 | F | 22 | No | 17.6 | CD | Mild | Mild | Mild | Continuation | Continuation | – | IL-12/23p40 antagonist continuation |
| 56 | F | 42 | Yes | 20.3 | UC | Remission | Remission | Remission | Continuation | – | – | JAK inhibitor continuation |
An infection of a fully vaccinated person (at least two injections of vaccination) is referred to as a “vaccine breakthrough infection.”