| Literature DB >> 35318432 |
Maria Guarino1, Valentina Cossiga2, Ilaria Loperto3, Ilaria Esposito4, Rosanna Ortolani3, Andrea Fiorentino2, Giuseppina Pontillo2, Lucia De Coppi3, Valentina Cozza3, Alfonso Galeota Lanza4, Giovanni Giuseppe Di Costanzo4, Francesco Paolo Picciotto4, Filomena Morisco2.
Abstract
Liver transplant (LT) recipients are vulnerable to SARS-CoV-2-infection (COVID-19), due to immunosuppression and comorbidities. This study aimed to evaluate the impact of COVID-19 on LT recipients compared to general population in the Campania region. In this prospective double-centre study, we enrolled all consecutive adult LT recipients with confirmed SARS-CoV-2-infection. Data were collected at diagnosis of COVID-19 and during follow-up and compared with the regional population. Thirty LT recipients (3.28%) developed SARS-CoV-2-infection (76.66% male, median age 62.61 years). Sixteen (53.33%) were symptomatic. Common symptoms were fever, cough, fatigue, and anosmia. Twenty-five (83.33%) were outpatients, 5 (16.66%) required hospitalization (6.66% admitted to Intensive Care Unit, 6.62% developed Acute Respiratory Distress Syndrome and 6.66% died). Immunosuppressors were in 3 (10%) patients. Incidence rate of COVID-19 was similar between LT patients and general population (3.28% vs 4.37%, p = 0.142) with higher rate of symptoms in LT patients (53.33% vs 15.87%, p < 0.000). At univariate analysis, hospitalization and case fatality rates were higher in LT patients compared to general population (16.66% vs 4.54%, p = 0.001; and 6.66% vs 1.76%, p = 0.041, respectively). At multivariable logistic regression analysis, LT patients with COVID-19 were more frequently symptomatic (OR 5.447 [95% CI 2.437-12.177], p < 0.000), whereas hospitalization and death for COVID-19 were not significatively associated with LT condition (p = 0.724 and p = 0.462, respectively) and were comparable with general population. LT is not a risk factor for acquiring COVID-19. Nonetheless, LT patients are more frequently symptomatic, although comparable to the general population for hospitalization rate and mortality.Entities:
Mesh:
Year: 2022 PMID: 35318432 PMCID: PMC8940902 DOI: 10.1038/s41598-022-08947-x
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Baseline characteristics of LT population with COVID-19, overall and according to symptomaticity.
| Colonna1 | Overall LT COVID-19 cases | COVID-19 asymptomatic cases | COVID-19 symptomatic cases | p value |
|---|---|---|---|---|
| Patients, n | 30 | 14 | 16 | |
| Sex, male, n (%) | 23 (76.66%) | 12 (85.71%) | 11 (68.75%) | 0.818 |
| Age, years, median (IQR) | 62.61 (52–66) | 62.64 (55–65) | 62.60 (30–68) | 0.912* |
| BMI > 30 kg/mq, n (%) | 5 (16.66%) | 3 (21.42%) | 2 (12.50%) | 0.743** |
| Smoke history, yes, n (%) | 4 (13.33%) | 4 (28.57%) | 0 | |
| 12.82 (4–20) | 8.62 (1–18) | 16.81 (11–27) | ||
| Short-term LT recipients, n (%) | 8 (26.66%) | 4 (28.57%) | 4 (25%) | 0.091** |
| Long-term LT recipients, n (%) | 22 (73.33%) | 10 (71.42%) | 12 (75%) | 0.151** |
| 0.144** | ||||
| HCV | 7 (23.33%) | 1 (7.14%) | 6 (37.50%) | |
| HBV | 5 (16.66%) | 2 (14.28%) | 3 (18.75%) | |
| HBV/HDV | 7 (23.33%) | 6 (42.85%) | 1 (6.25%) | |
| Alcoholic liver disease | 4 (13.33%) | 2 (14.28%) | 2 (12.50%) | |
| Biliary Atresia | 3 (10%) | 1 (7.14%) | 2 (12.50%) | |
| HCC | 8 (26.66%) | 2 (14.28%) | 6 (37.50%) | |
| Other | 4 (13.33%) | 2 (14.28%) | 2 (12.50%) | |
| 0.631** | ||||
| Calcineurin inhibitor | 27 (90%) | 12 (85.71%) | 15 (93.75%) | |
| Antimetabolite | 6 (20%) | 1 (7.14%) | 5 (31.25%) | |
| mTor inhibitor | 11 (36.66%) | 4 (28.57%) | 7 (43.75%) | |
| Single immunosuppressive agent, n (%) | 18 (60%) | 7 (50%) | 11 (68.75%) | 0.052** |
| Two or more immunosuppressive agents, n (%) | 12 (40%) | 9 (64.28%) | 3 (18.75%) | |
| Cardiovascular disease | 10 (33.33%) | 6 (42.85%) | 4 (25%) | 0.605** |
| Diabetes mellitus | 1 (3.33%) | 0 | 1 (6.25%) | 0.277** |
| Active cancer | 1 (3.33%) | 0 | 1 (6.25%) | 0.277** |
| Previous Cancer | 4 (13.33%) | 3 (24.42%) | 1 (6.25%) | 0.351** |
| Kidney insufficiency | 7 (23.33%) | 5 (35.71%) | 2 (12.50%) | 0.273** |
| Respiratory disease | 4 (13.33%) | 1 (7.14%) | 3 (18.75%) | 0.222** |
| Two or more comorbidities | 15 (50%) | 9 (64.28%) | 6 (37.50%) | 0.464** |
Significant values are in bold.
*Kruskal–Wallis equality-of-populations rank test.
**Chi square/Fisher's exact test.
§One patient can have more than one cause of liver disease, so the sum of aetiologies did not necessarily sum to 100%.
Clinical presentation and management of LT patients with symptomatic COVID-19.
| Study population | Results |
|---|---|
| Patients, n | 30 |
| 16 (53.33) | |
| Fever | 14 (46.66) |
| Cough | 11 (36.66) |
| Dyspnoea | 8 (26.66) |
| Fatigue and myalgia | 11 (36.66) |
| GI symptoms | 5 (16.66) |
| Anosmia | 11 (36.66) |
| Dysgeusia | 10 (33.33) |
| Acetaminophen | 14 (46.66) |
| Steroids | 5 (16.66) |
| Antibiotics | 10 (33.33) |
| Azithromycin | 7 (23.33) |
| > 1 antibiotic | 3 (10) |
| Antivirals | 1 (3.33) |
| Antithrombotic prophylaxis | 5 (16.66) |
| Immunomodulators | 0 (0) |
| Hydroxychloroquine | 0 (0) |
| 4 (13.33) | |
| Nasal cannula | 2 (6.66) |
| Invasive ventilation | 2 (6.66) |
| 3 (10) | |
| Reduction | 2 (6.66) |
| Withdraw | 1 (3.33) |
| Hospitalization | 5 (16.66) |
| ICU admission | 2 (6.66) |
| ARDS | 2 (6.66) |
| Death | 2 (6.66) |
Figure 1Major outcomes from COVID-19 in LT patients compared to general population within the same geographical area (univariate analysis).
Association between liver transplant, COVID 19—hospitalization, COVID 19—death (X, Y).
| Partially adjusted model | Fully adjusted model | |||||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | p | OR | 95% CI | p | |||
| Age | 1.028 | 1.009 | 1.048 | 1.028 | 1.008 | 1.047 | ||
| Sex (M) | 3.233 | 1.381 | 7.566 | 3.202 | 1.368 | 7.494 | ||
| Symptomaticity | 5.447 | 2.437 | 12.177 | |||||
| COVID19 hospitalization | 2.445 | 0.773 | 7.731 | 0.128 | 0.808 | 0.248 | 2.633 | 0.724 |
| COVID19 death | 0.689 | 0.126 | 3.769 | 0.668 | 0.542 | 0.106 | 2.767 | 0.462 |
Significant values are in bold.
Estimates were derived from multivariable logistic regression models partially and fully adjusted for age, gender, symptomaticity, hospitalization and death.