| Literature DB >> 34141738 |
Liliana Baroiu1, Caterina Dumitru2, Alina Iancu3, Ana-Cristina Leșe4, Miruna Drăgănescu1, Nicușor Baroiu5, Lucreția Anghel1.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic imposed arestructuring of global health systems by rethinking spaces used for the care of these patients and the additions of intensive care, infectious diseases and pneumology departments. This paper provides evidence on the presence of severe acute respiratory syndrome coronavirus 2 in hepatocytes and its direct cytopathic activity, as well as the degree of liver damage due to drug toxicity, inflammation and hypoxia in COVID-19. A review of clinical trials has quantified liver damage through both pathology and biochemistry studies. Additionally, we briefly present the results of a study conducted in our clinic on 849 patients admitted for COVID-19 treatment, of which 31 patients had pre-existing chronic liver disease and 388 patients had values above the normal limit for alanine aminotransferase, aspartate aminotransferase, and total bilirubin. It was observed that patients with abnormal liver tests were significantly statistically older, had more comorbidities and had a higher percentage of unfavourable evolution (death or transfer to intensive care). The conclusion of this paper is that the main causes of liver damage are direct viral aggression, coagulation dysfunction and endothelial damage, and patients with impaired liver function develop more severe forms of COVID-19 which requires special care by a multidisciplinary team that includes a hepatologist. ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.Entities:
Keywords: Biochemical changes; COVID-19; Cytopathic effect; Drug toxicity; Hyper-inflammatory reaction; Liver injury
Year: 2021 PMID: 34141738 PMCID: PMC8180204 DOI: 10.12998/wjcc.v9.i16.3814
Source DB: PubMed Journal: World J Clin Cases ISSN: 2307-8960 Impact factor: 1.337
Biochemical changes in patients with coronavirus disease 2019 and pre-existing chronic liver diseases in clinical trials
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| Guan | 1099 | 21.3 abnormal ALT; 22.2 abnormal AST | 2.3 |
| Huang | 41 | 31 | 2 |
| Chen | 99 | 43 | NA |
| Wang | 138 | NA | 2.9 |
| Shi | 81 | 53.1 | 8.6 |
| Xu | 62 | 16.1 | 11 |
| Yang | 52 | 29 | NA |
| Zhang | 56 | 28.6 | 3.6 |
| Cai | 298 | 14.8 abnormal ALT; 8.7 abnormal AST | 2.7 |
| Cao | 128 | 43.8 abnormal ALT; 44.1 abnormal AST | NA |
| Zhang | 82 | 30.6 abnormal ALT; 61.1 abnormal AST; 30.6 abnormal TBIL | 2.4 |
| Fan | 148 | 21.6 abnormal AST; 18.2 abnormal ALT; 17.6 abnormal GGT; 6.1 abnormal TBIL | NA |
| Huang | 36 | 13.3 abnormal ALT; 58.1 abnormal AST; 12.9 abnormal TBIL | NA |
| Li | 85 | 24.7 abnormal ALT | 7.05 |
| Xie | 79 | 31.6 abnormal ALT; 35.4 abnormal AST; 5.1 abnormal TBIL | 0 |
| Zhang | 115 | 9.57 abnormal ALT; 4.78 abnormal AST | 0 |
| Zhao | 19 | 27.78 abnormal ALT; 44.4 abnormal AST; GGT | 5.26 |
| Sultan | Meta-analysis of 47 studies 10890 patients | 15.0 abnormal AST; 15.0 abnormal ALT; 16.7 abnormal TBIL | NA |
| Effenber | 96 | 42 abnormal AST | NA |
| Mantovani | Meta-analysis of11 studies 2034 patients | NA | 3 |
| Hundt | 1827 | Abnormal at admission (AST 66.9, ALT 41.6, ALP 13.5, and TBIL 4.3) and peak hospitalization (AST 83.4, ALT 61.6, ALP 22.7, and TBIL 16.1) | NA |
| Cai | 417 | 76.3 abnormal ALT, AST, TBIL and GGT | NA |
| Wang | 156 | 41.0 abnormal ALT and, AST | NA |
| Velarde-Ruiz Velasco | 99 | 35 abnormal AST; 28 abnormal ALT; 98 abnormal albumin | NA |
| Our unpublished data | 849 | 38.39 abnormal ALT39.33 abnormal AST3.18 abnormal TBIL | 3.65 |
COVID-19: Coronavirus disease 2019; ALT: alanine aminotransferase; AST: aspartate aminotransferase; GGT: gamma-glutamyl transferase; TBIL: Total bilirubin; NA: Not available.
Demographic and clinical characteristics
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| Age (yr) | |||
| Minimum-maximum | 0.083-97 | 0.33-97 | 32-88 |
| Average | 50.21 | 53.04 ( | 55.70 ( |
| 95%CI | 48.85-51.58 | 51.09-54.99 | 51.08-60.33 |
| Female (%) | 54.18 | 52.31 ( | 48.38 ( |
| Charlson score (%patients) | |||
| 0 | 41.08 | 34.02 ( | 16.12 ( |
| 1-2 | 32.58 | 34.79 ( | 41.93 ( |
| 3-4 | 16.29 | 18.55 ( | 29.03 ( |
| 5-11 | 10.03 | 12.62 ( | 12.90 ( |
| Number of days of hospitalization | |||
| Minimum-maximum | 1-80 | 1-52 | 1-35 |
| Average | 11.06 | 11.53 ( | 11.35 ( |
| 95%CI | 10.55-11.58 | 10.83-12.24 | 9.12-13.58 |
| Curb 65 score (%) | |||
| 0 | 12.43 | 10.34 ( | 10.00 ( |
| 1 | 62.18 | 59.41 ( | 63.33 ( |
| 2 | 23.11 | 26.52 ( | 23.33 ( |
| 3 | 3.51 | 3.71 ( | 3.33 ( |
| Unfavourable evolution (death or transfer to intensive care) (%) | 4.71 | 7.73 ( | 12.90 ( |
COVID-19: Coronavirus disease 2019; CI: Confidence interval.