| Literature DB >> 32964510 |
Atoosa Rabiee1, Brett Sadowski2, Nia Adeniji3, Ponni V Perumalswami4, Veronica Nguyen5, Akshata Moghe6, Nyan L Latt7, Sonal Kumar8, Costica Aloman9, Andreea M Catana10, Patricia P Bloom11, Kenneth D Chavin12, Rotonya M Carr13, Winston Dunn14, Vincent L Chen15, Elizabeth S Aby16,17, Jose D Debes16,17, Renumathy Dhanasekaran3.
Abstract
BACKGROUND AND AIMS: Coronavirus disease 2019 (COVID-19) is associated with liver injury, but the prevalence and patterns of liver injury in liver transplantation (LT) recipients with COVID-19 are open for study. APPROACH ANDEntities:
Mesh:
Substances:
Year: 2020 PMID: 32964510 PMCID: PMC7537191 DOI: 10.1002/hep.31574
Source DB: PubMed Journal: Hepatology ISSN: 0270-9139 Impact factor: 17.298
Demographics and Clinical Outcomes in LT Recipients With COVID‐19
| Variable | Subcategory | All n = 112 (100%) | Death n = 25 (22.3%) | Hospitalization n = 81 (72.3%) | ICU Admission n = 30 (26.8%) |
|---|---|---|---|---|---|
| Demographics | |||||
| Age, years | <65 | 64 (57.1%) | 10 (15.6%) | 43 (67.2%) | 13 (20.3%) |
| >/=65 | 48 (42.9%) | 15 (31.3%) | 38 (79.2%) | 17 (35.4%) | |
| Sex | Male | 61 (54.5%) | 15 (29.4%) | 40 (65.6%) | 13 (21.3%) |
| Female | 51 (45.5%) | 10 (16.4%) | 41 (80.4%) | 17 (33.3%) | |
| Race/ethnicity | NH White | 31 (27.7%) | 6 (19.4%) | 22 (71.0%) | 7 (22.6%) |
| NH Black | 29 (25.8%) | 6 (20.7%) | 20 (69.0%) | 8 (27.6%) | |
| NH Asian | 5 (4.5%) | 2 (40.0%) | 4 (80.0%) | 2 (40.0%) | |
| NH other | 3 (2.7%) | 1 (33.3%) | 1 (33.3%) | 1 (33.3%) | |
| Hispanic or Latino | 44 (39.3%) | 10 (22.7%) | 34 (77.3%) | 12 (27.3%) | |
| Indication for LT | |||||
| Hepatitis C | 32 (28.6%) | 3 (18.8%) | 11 (68.8%) | 6 (18.8%) | |
| Hepatitis B | 8 (7.1%) | 1 (12.5%) | 7 (87.5%) | 1 (12.5%) | |
| ALD | 16 (14.3%) | 6 (18.8%) | 22 (68.8%) | 5 (31.3%) | |
| NAFLD | 16 (14.3%) | 9 (56.3%) | 15 (93.8%) | 10 (62.5%) | |
| HCC | 17 (15.2%) | 6 (35.3%) | 14 (82.1%) | 7 (41.2%) | |
| Comorbidities | |||||
| DM | 51 (45.5%) | 18 (35.3%) | 40 (78.4%) | 18 (35.3%) | |
| HTN | 59 (52.6%) | 20 (33.3%) | 45 (75.0%) | 20 (33.3%) | |
| Hyperlipidemia | 23 (20.5%) | 8 (34.8%) | 21 (91.3%) | 9 (39.1%) | |
| Obesity | 26 (23.2%) | 6 (23.1%) | 19 (73.1%) | 9 (34.6%) | |
| Coronary artery disease | 9 (8.0%) | 4 (44.4%) | 8 (88.9%) | 3 (33.3%) | |
| Congestive heart failure | 6 (5.4%) | 2 (33.3%) | 5 (83.3%) | 2 (33.3%) | |
| HIV | 1 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| COPD | 4 (3.6%) | 1 (25.0%) | 4 (100%) | 2 (50.0%) | |
| Asthma | 7 (6.3%) | 2 (28.6%) | 6 (85.7%) | 2 (28.6%) | |
| Other cancer | 7 (6.3%) | 5 (71.4%) | 7 (100%) | 4 (57.1%) | |
| Obstructive sleep apnea | 7 (6.3%) | 2 (28.6%) | 3 (42.9%) | 2 (28.6%) | |
| Metabolic syndrome | 22 (19.6%) | 8 (36.4%) | 17 (77.3%) | 9 (40.9%) | |
| Substance use | |||||
| Alcohol use | Current daily drinking | 1 (0.9%) | 0 (0.0%) | 1 (100.0%) | 0 (0.0%) |
| Social drinking | 1 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Do not drink currently | 108 (96.4%) | 5 (4.6%) | 78 (72.2%) | 30 (27.8%) | |
| Tobacco | Current smoker | 5 (4.5%) | 0 (0.0%) | 5 (100.0%) | 1 (20.0%) |
| Former smoker | 39 (34.8%) | 10 (25.6%) | 26 (66.7%) | 12 (30.8%) | |
| Never smoker | 68 (60.7%) | 15 (22.1%) | 50 (73.5%) | 17 (25.0%) | |
| Other | Opioid use | 1 (0.9%) | 1 (100.0%) | 1 (100.0%) | 1 (100.0%) |
| Treatment for COVID‐19 | |||||
| Remedesivir | 3 (2.7%) | 1 (33.3%) | 3 (100.0%) | 2 (66.7%) | |
| Steroids | 4 (3.6%) | 2 (50.0%) | 4 (100.0%) | 3 (75.0%) | |
| HCQ+ Azithromycin | 26 (23.2%) | 12 (46.2%) | 26 (100.0%) | 16 (61.5%) | |
| HCQ alone | 42 (37.5%) | 18 (42.9%) | 42 (100.0%) | 23 (54.8%0 | |
| Azithromycin alone | 31 (27.7%) | 12 (38.7%) | 23 (90.3%) | 17 (54.8%) | |
| Immunosuppression | |||||
| Tacrolimus | 103 (91.9%) | 24 (23.3%) | 73 (70.9%) | 28 (27.2%) | |
| Cyclosporine | 7 (6.3%) | 0 (0.0%) | 6 (85.7%) | 1 (14.3%) | |
| MMF | 56 (50.0%) | 15 (26.8%) | 41 (73.2%) | 21 (37.5%) | |
| Azathioprine | 1 (0.9%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Prednisone, low dose* | 27 (24.1%) | 8 (29.6%) | 25 (92.6%) | 11 (40.7%) | |
| Prednisone, high dose | 7 (6.3%) | 1 (14.3%) | 6 (85.7%) | 2 (28.6%) | |
| mTOR inhibitors | 4 (3.6%) | 2 (50.0%) | 4 (100.0%) | 2 (50.0%) | |
| Other | 3 (2.7%) | 1 (33.3%) | 3 (100.0%) | 1 (33.3%) |
Low dose, <20 mg/d.
High dose, >20 mg/d.
Abbreviations: COPD, chronic obstructive pulmonary disease; HCQ, hydroxychloroquine; HIV, human immunodeficiency virus; MMF, mycophenolate; mTOR, mammalian target of rapamycin; NH, non‐Hispanic; HCC, hepatocellular carcinoma.
FIG. 1Liver injury in LT recipients with COVID‐19. (A) Pattern of liver test elevations comparing baseline values with values at diagnosis of COVID‐19 and peak values during COVID‐19. (B) Predictors of liver injury in LT recipients with COVID‐19. (C) Risk for overall mortality in LT recipients with COVID‐19 with patients stratified by presence of liver injury. *P < 0.05; ***P < 0.001.
Liver Injury During COVID‐19 in LT Recipients
| Variable | Covariate | All Patients (n = 81) | ALT <2× ULN (n = 53; 65.4%) | ALT 2‐5× ULN (n = 18; 22.2%) | ALT >5× ULN (n = 10, 12.3%) |
|
|---|---|---|---|---|---|---|
| Age, years | Median (IQR) | 63 (14) | 65.0 (13) | 57.5 (23) | 62.0 (11) | 0.406 |
| Sex | Male | 38 (46.9%) | 29 (54.7) | 8 (44.4) | 5 (50.0) | 0.747 |
| Female | 42 (51.9%) | 24 (45.3) | 10 (55.6) | 5 (50.0) | ||
| Race/ethnicity | NH White | 39 (48.1%) | 18 (34.0) | 2 (11.0) | 1 (10.0) |
|
| NH Black | 21 (25.9%) | 15 (28.3) | 6 (33.3) | 1 (10.0) | ||
| NH Asian | 22 (27.2%) | 3 (5.7) | 1 (5.6) | 0 (0) | ||
| Hispanic or Latino | 33 (40.7%) | 17 (32.1) | 9 (50.0) | 7 (70.0) | ||
| Comorbidities | DM | 38 (46.9%) | 20 (37.7) | 12 (66.7) | 6 (60.0) | 0.071 |
| HTN | 46 (56.8%) | 26 (49.1) | 11 (61.1) | 9 (90.0) | 0.050 | |
| Hyperlipidemia | 20 (24.7%) | 9 (17.0) | 7 (38.9) | 4 (40.0) | 0.086 | |
| Obesity | 21 (25.9%) | 11 (20.8) | 6 (33.3) | 4 (40.0) | 0.319 | |
| Metabolic syndrome | 17 (21.0%) | 7 (13.2) | 6 (33.3) | 4 (40.0) | 0.056 | |
| Coronary artery disease | 9 (11.1%) | 5 (9.4) | 1 (5.6) | 3 (30.0) | 0.115 | |
| Severity of COVID‐19 | Hospitalization | 71 (87.7%) | 44 (83.0) | 17 (94.4) | 10 (100.0) | 0.199 |
| ICU admission | 28 (34.6%) | 12 (22.6) | 7 (38.9) | 9 (90.0) |
| |
| Mechanical ventilation | 24 (29.6%) | 9 (17.0) | 6 (33.3) | 9 (90.0) |
| |
| Vasopressor use | 23 (28.4%) | 9 (17.0) | 5 (27.8) | 9 (90.0) |
| |
| Supplemental oxygen | 54 (66.7%) | 33 (62.3) | 11 (61.1) | 10 (100.0) | 0.057 | |
| Death | 25 (30.9%) | 10 (18.6) | 6 (33.3) | 8 (80.0) |
| |
| Hepatotoxic medication | Yes | 65 (80.2%) | 40 (75.4) | 16 (88.8) | 9 (90.0) | 0.331 |
| Any antibiotics | 60 (74.1%) | 34 (64.15) | 16 (88.8) | 10 (100.0) |
| |
| Cephalosporin | 40 (49.4%) | 21 (40.4) | 10 (55.6) | 9 (90.0) |
| |
| APAP | 29 (35.8%) | 16 (49.1) | 8 (44.4) | 5 (50.0) | 0.335 | |
| Statins | 16 (19.8%) | 9 (17.0) | 4 (22.2) | 3 (30.0) | 0.610 | |
| PPI | 33 (40.7%) | 21 (39.6) | 8 (44.4) | 4 (40.0) | 0.936 | |
| COVID‐19 treatment | Hydroxychloroquine + azithromycin | 23 (28.4%) | 13 (24.5) | 6 (33.3) | 4 (40.0) | 0.246 |
| Hydroxychloroquine | 16 (19.8%) | 8 (15.1) | 5 (27.8) | 3 (30.0) | 0.347 | |
| Immunosuppression | Tacrolimus | 73 (90.1%) | 46 (86.7) | 17 (94.4) | 10 (100.0) | 0.344 |
| Cyclosporine | 6 (7.4%) | 6 (11.3) | 0 (0) | 0 (0) | 0.181 | |
| MMF | 41 (50.6%) | 28 (52.8) | 6 (33.3) | 7 (70.0) | 0.153 | |
| Prednisone, low dose | 22 (27.2%) | 14 (45.3) | 4 (18.2) | 4 (40.0) | 0.586 | |
| Change in immunosuppression | Decreased tacrolimus | 21 (25.9%) | 12 (22.6) | 4 (22.2) | 5 (50.0) | 0.735 |
| Held MMF | 27 (33.3%) | 18 (34.0) | 4 (22.2) | 5 (50.0) | 0.617 | |
| Labs (peak COVID‐19) | Creatinine | 1.9 (2.3) | 1.6 (2.3) | 1.8 (1.7) | 4.1 (2.3) |
|
| WBC | 5.3 (4.6) | 5.0 (3.8) | 5.5 (7.4) | 14.1 (20.6) | 0.237 | |
| Neutrophil | 3.4 (4.1) | 3.3 (3.8) | 4.2 (5.0) | 2.7 (10.5) | 0.792 | |
| Lymphocyte | 0.8 (0.7) | 0.8 (0.6) | 0.9 (1.4) | 0.6 (2.1) | 0.145 |
Bold signifies statistically significant.
Abbreviations: APAP, acetaminophen; MMF, mycophenolate; NH, non‐Hispanic; WBC, white blood cell count.
Multivariate Analysis of Predictors of ALI in LT Recipients With COVID‐19
| Covariate | Univariate Analysis | Multivariate Analysis | ||||
|---|---|---|---|---|---|---|
|
| OR | 95% CI |
| OR | 95% CI | |
| Age (years) | 0.286 | 1.21 | 0.85‐1.71 |
| 2.06 | 1.20‐3.54 |
| Female sex | 0.494 | 0.72 | 0.28‐1.79 | 0.333 | 1.93 | 0.51‐7.33 |
| Race, White |
| 0.26 | 0.08‐0.79 |
| 0.13 | 0.024‐0.680 |
| Ethnicity, Hispanic |
| 2.82 | 1.09‐7.26 |
| 6.01 | 1.51‐23.90 |
| Metabolic syndrome |
| 3.65 | 1.20‐11.07 |
| 5.87 | 1.38‐24.99 |
| Antibiotics |
| 7.27 | 1.55‐34.02 |
| 6.93 | 1.04‐46.26 |
| Vasopressors |
| 4.88 | 1.74‐13.71 |
| 7.34 | 1.39‐38.52 |
| Oxygen requirement | 0.324 | 1.81 | 0.65‐5.04 | |||
| Immunosuppression modified | 0.156 | 2.07 | 0.81‐5.37 | |||
| Hydroxychloroquine | 0.157 | 2.250 | 0.74‐6.85 | |||
| Azithromycin | 0.312 | 1.8 | 0.68‐4.77 | |||
| Any hepatotoxic | 0.240 | 2.71 | 0.70‐10.46 | |||
| APAP | 0.223 | 2.000 | 0.78‐5.16 | |||
| Statins | 0.396 | 1.630 | 0.53‐4.98 | |||
| Creatinine (peak during COVID‐19) | 0.799 | 0.971 | 0.77‐1.22 | |||
| PPI | 0.815 | 1.140 | 0.45‐2.89 | |||
Bold signifies statistically significant.
Abbreviation: APAP, acetaminophen.
Multivariate Analysis of Predictors of Mortality in LT Recipients With COVID‐19
| Univariate | Multivariate | |||||
|---|---|---|---|---|---|---|
|
| OR | 95% CI |
| Hazard Ratio | 95% CI | |
| Liver injury |
| 4.96 | 1.80‐13.65 |
| 6.91 | 1.67‐28.48 |
| Age (>65 years) | 0.150 | 2.15 | 0.82‐5.63 | 0.130 | 2.93 | 0.73‐11.81 |
| Sex (female) | 0.229 | 0.5 | 0.19‐1.30 | 0.066 | 3.69 | 1.11‐12.21 |
| Race, non‐Hispanic White | 0.803 | 0.78 | 0.28‐2.13 | 0.224 | 1.17 | 0.35‐3.86 |
| Ethnicity, Hispanic | 1.000 | 1 | 0.36‐2.50 | 0.153 | 2.01 | 0.67‐13.38 |
| DM |
| 4.630 | 1.65‐12.96 |
| 3.7 | 1.04‐13.09 |
| HTN |
| 3.41 | 1.18‐9.78 | 0.763 | 2.04 | 0.61‐6.94 |
| Active cancer |
| 6.75 | 1.21‐37.63 | 0.127 | 10.86 | 1.04‐113.47 |
| Hyperlipidemia | 0.404 | 1.72 | 0.60‐4.92 | |||
| Obesity | 1.000 | 0.86 | 0.29‐2.57 | |||
| Metabolic syndrome | 0.140 | 2.45 | 0.82‐7.44 | |||
| Time transplant (<1 year) | 1.000 | 0.91 | 0.35‐2.40 | |||
| Immunosuppression Modified | 0.084 | 2.51 | 0.90‐6.95 | |||
| Tacrolimus | 0.424 | 3.45 | 0.39‐29.47 | |||
| Cyclosporine | 0.332 | 0.75 | 0.67‐0.84 | |||
| MMF | 0.337 | 1.73 | 0.66‐4.51 | |||
| Prednisone, low dose | 0.592 | 1.41 | 0.50‐3.96 | |||
Bold signifies statistically significant.
Abbreviations: HLD, hyperlipidemia; MMF, mycophenolate.