| Literature DB >> 34402469 |
Giorgos Bamias1, Georgios Kokkotis1, Angeliki Christidou2, Dimitrios K Christodoulou3, Vasileios Delis4, Georgia Diamantopoulou5, Smaragdi Fessatou6, Anthia Gatopoulou7, Olga Giouleme8, Panagiota Kafritsa9, Chrisostomos Kalantzis10, Andreas Kapsoritakis11, Pantelis Karatzas12, Konstantinos Karmiris13, Konstantinos Katsanos3, Polyxeni Kevrekidou14, Charalampos Kosmidis15, Aikaterini Mantaka16, Nicoletta Mathou17, George Michalopoulos18, Spyridon Michopoulos19, Ioannis Papaconstantinou20, George Papatheodoridis12, Dimitrios Polymeros21, Spyros Potamianos11, Georgios Poulopoulos9, Andreas Protopapas22, Maria Sklavaina9, Konstantinos Soufleris14, Georgios Theocharis5, Angeliki Theodoropoulou13, John K Triantafillidis23, Konstantinos Triantafyllou21, Georgia Tsiolakidou24, Eftychia Tsironi25, Maria Tzouvala26, Nikos Viazis2, Vasileios Xourgias18, Eirini Zacharopoulou24, Evanthia Zampeli19, Gerasimos J Mantzaris2.
Abstract
OBJECTIVES: COVID-19 has evolved into a global health crisis, variably affecting the management of patients with chronic illnesses. Patients with inflammatory bowel disease (IBD) may represent a vulnerable population due to frequent administration of immune-modifying treatments. We aimed to depict the natural history of COVID-19 infection in Greek patients with IBD at a nationwide level via unbiased reporting of all cases that were registered during the sequential waves of the pandemic.Entities:
Mesh:
Substances:
Year: 2021 PMID: 34402469 PMCID: PMC8734573 DOI: 10.1097/MEG.0000000000002267
Source DB: PubMed Journal: Eur J Gastroenterol Hepatol ISSN: 0954-691X Impact factor: 2.586
Fig. 1.Total COVID-19 cases and COVID-19/IBD cases during the sequential waves of the pandemic in Greece. Blue bars indicate the number of daily cases and red lines indicate the cumulative number at each day.
Epidemiological data, comorbidities, symptoms and IBD-related treatment of 80 patients diagnosed with SARS-COV2 infection
| All patients, | Group with adverse event(s), | Group without adverse event, | ||
|---|---|---|---|---|
| Age in years [mean (SD)] | 41.7 (14.9) | 49.4 (16.1) | 39.6 (13.9) | 0.001[ |
| >65 years old [ | 11 (7.1) | 6 (17.6) | 5 (4.2) | 0.007[ |
| Men [ | 90 (58.4) | 22 (64.7) | 68 (56.7) | NS[ |
| Disease [ | ||||
| Crohn’s disease | 99 (64.3) | 22 (64.7) | 77 (64.2) | NS[ |
| Ulcerative colitis | 48 (31.2) | 11 (32.4) | 37 (30.8) | NS[ |
| Pouchitis | 6 (3.9) | 1 (2.9) | 5 (4.2) | NS[ |
| Unclassified | 1 (0.6) | 0 (0) | 1 (0.8) | NS[ |
| Active disease | 24 (15.6) | 7 (20.6) | 17 (14.2) | NS[ |
| Smoking status | NS[ | |||
| Active | 35 (22.7) | 7 (20.6) | 28 (23.3) | |
| Former | 42 (27.3) | 13 (38.2) | 29 (24.2) | |
| Never | 76 (49.4) | 14 (41.2) | 62 (51.7) | |
| BMI, kg/m2 [mean (SD)] | 25.8 (4.5) | 27.6 (5.6) | 25.3 (4) | 0.009[ |
| Obesity [ | 21 (13.6) | 9 (26.5) | 12 (10) | 0.013[ |
| Comorbidities | 55 (35.7) | 20 (58.8) | 35 (29.2) | 0.001[ |
| Coronary heart disease | 4 (2.6) | 2 (5.9) | 2 (1.6) | NS[ |
| Diabetes | 4 (2.6) | 3 (8.8) | 1 (0.8) | 0.034[ |
| Asthma | 4 (2.6) | 2 (5.9) | 2 (1.7) | NS[ |
| COPD | 4 (2.6) | 4 (11.7) | 0 (0) | 0.002[ |
| Hypertension | 23 (14.9) | 10 (29.4) | 13 (12.5) | 0.007[ |
| Cerebrovascular disease | 2 (1.3) | 1 (2.9) | 1 (0.8) | NS[ |
| Renal disease | 2 (1.3) | 1 (2.9) | 1 (0.8) | NS[ |
| Liver disease | 8 (5.2) | 4 (11.7) | 4 (3.3) | NS[ |
| Malignancy | 5 (3.2) | 2 (12.5) | 3 (2.5) | NS[ |
| Other | 36 (23.4) | 12 (35.3) | 24 (20) | NS[ |
| IBD treatment | ||||
| Biologic | 112 (72.7) | 20 (58.8) | 92 (76.7) | 0.039[ |
| Infliximab | 56 (36.4) | 11 (32.4) | 45 (37.5) | NS[ |
| Adalimumab | 34 (22.1) | 3 (8.8) | 31 (25.8) | 0.036[ |
| Golimumab | 6 (3.9) | 2 (5.9) | 4 (3.3) | NS[ |
| Vedolizumab | 12 (7.8) | 3 (8.8) | 9 (7.5) | NS[ |
| Ustekinumab | 4 (2.6) | 1 (2.9) | 3 (2.5) | NS[ |
| Tofacitinib | 2 (1.3) | 0 (0) | 2 (1.7) | NS[ |
| Azathioprine | 18 (11.7) | 6 (17.6) | 12 (10) | NS[ |
| Methotrexate | 11 (7.1) | 3 (8.8) | 8 (6.7) | NS[ |
| 5-asa | 56 (36.4) | 14 (41.2) | 42 (35) | NS[ |
| Corticosteroids | 8 (5.2) | 2 (5.9) | 6 (5) | NS[ |
| No treatment | 6 (3.9) | 3 (8.8) | 3 (2.5) | NS[ |
| Symptoms | ||||
| Fever | 113 (73.4) | 30 (88.2) | 83 (69.2) | 0.026[ |
| Cough | 71 (46.1) | 19 (55.9) | 52 (43.3) | NS[ |
| Dyspnea | 16 (10.4) | 10 (29.4) | 6 (5) | <0.001[ |
| Fatigue | 97 (63) | 25 (73.5) | 72 (60) | NS[ |
| Sore throat | 42 (27.3) | 8 (23.5) | 34 (28.3) | NS[ |
| Headache | 72 (46.8) | 17 (50) | 55 (45.8) | NS[ |
| Diarrhea | 30 (19.5) | 7 (20.6) | 23 (19.2) | NS[ |
| Abdominal pain | 14 (9.1) | 6 (17.6) | 8 (6.7) | 0.049[ |
| Nausea-vomiting | 6 (3.9) | 2 (5.9) | 4 (3.3) | NS[ |
| Asymptomatic | 17 (11) | 0 (0) | 17 (14.2) | 0.025[ |
Obesity, BMI >30 kg/m2. P values refer to comparisons between cases that developed and that did not develop any adverse event.
Independent-samples t test.
χ2.
Fischer’s exact.
Fig. 2.Flow chart depicting the outcomes of SARS-CoV-2 infection of COVID-19/IBD patients.
Prognostic factors for adverse events due to COVID-19 in IBD patients
| Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| Men | 1.40 | 0.64–3.09 | 0.402 | 1.49 | 0.58–3.83 | 0.410 |
| Age in years | 1.05 | 1.02–1.08 | 0.001 | 1.04 | 1.00–1.08 | 0.038 |
| BMI (kg/m2) | 1.12 | 1.02–1.21 | 0.012 | 1.00 | 0.89–1.12 | 0.971 |
| DM | 11.42 | 1.15–113.6 | 0.038 | 6.16 | 0.51–75.08 | 0.154 |
| Hypertension | 3.40 | 1.33–8.66 | 0.010 | 1.36 | 0.36–5.19 | 0.654 |
| anti-TNF | 0.45 | 0.21–0.98 | 0.043 | 0.40 | 0.16–0.99 | 0.049 |
| Fever | 3.34 | 1.10–10.17 | 0.034 | 3.11 | 0.88–10.97 | 0.077 |
| Dyspnea | 7.92 | 2.63–23.87 | <0.001 | 7.36 | 1.84–29.46 | 0.005 |
CI, confidence intervals; DM, diabetes mellitus; OR, odds ratio.