| Literature DB >> 34558116 |
Karola S Jering1,2, Martina M McGrath2,3, Finnian R Mc Causland2,3, Brian Claggett1,2, Jonathan W Cunningham1,2, Scott D Solomon1,2.
Abstract
BACKGROUND: Solid-organ transplant (SOT) recipients with coronavirus disease 2019 (COVID-19) have higher risk of adverse outcomes compared to the general population. Whether hospitalized SOT recipients with COVID-19 are at higher risk of mortality than SOT recipients hospitalized for other causes, including non-COVID-19 pneumonia, remains unclear.Entities:
Keywords: COVID-19; SARS-CoV-2; TRANSPLANT; allograft; coronavirus; heart transplant; kidney transplant; liver transplant; solid-organ
Mesh:
Year: 2021 PMID: 34558116 PMCID: PMC8646895 DOI: 10.1111/ctr.14492
Source DB: PubMed Journal: Clin Transplant ISSN: 0902-0063 Impact factor: 3.456
Baseline characteristics of SOT recipients according to COVID‐19 status
| Without COVID‐19 | With COVID‐19 |
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|---|---|---|---|
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| Kidney transplant | 9602 (62.6%) | 1235 (73.4%) | <.001 |
| Liver transplant | 3658 (23.9%) | 276 (16.4%) | <.001 |
| Heart transplant | 1425 (9.3%) | 153 (9.1%) | .79 |
| Lung transplant | 794 (5.2%) | 46 (2.7%) | <.001 |
| Pancreas transplant | 779 (5.1%) | 68 (4.0%) | .06 |
| Intestinal transplant | 65 (.4%) | 1 (.1%) | .02 |
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| Age | 59.1 ± 14.1 | 58.9 ± 13.2 | .50 |
| Male sex | 8935 (58.3%) | 1044 (62.1%) | .003 |
| Race/ethnicity | <.001 | ||
| Hispanic | 2871 (19.2%) | 482 (29.5%) | |
| Black, Non‐Hispanic | 1908 (12.8%) | 350 (21.4%) | |
| Other | 1375 (9.2%) | 221 (13.5%) | |
| White, Non‐Hispanic | 8780 (58.8%) | 580 (35.5%) | |
| Black and/or Hispanic | 4779 (31.2%) | 832 (49.5%) | <.001 |
| Discharge month | <.001 | ||
| April | 2244 (14.6%) | 408 (24.3%) | |
| May | 2364 (15.4%) | 211 (12.5%) | |
| June | 2382 (15.5%) | 152 (9.0%) | |
| July | 2254 (14.7%) | 250 (14.9%) | |
| August | 2155 (14.1%) | 241 (14.3%) | |
| September | 1914 (12.5%) | 155 (9.2%) | |
| October | 1599 (10.4%) | 171 (10.2%) | |
| November | 418 (2.7%) | 94 (5.6%) | |
| Region | <.001 | ||
| Midwest | 3285 (21.5%) | 343 (20.4%) | |
| Northeast | 2897 (19.0%) | 455 (27.1%) | |
| South | 6962 (45.6%) | 681 (40.6%) | |
| West | 2108 (13.8%) | 199 (11.9%) | |
| Urban hospital | 13779 (90.3%) | 1545 (92.1%) | .02 |
| Teaching hospital | 10147 (66.5%) | 1150 (68.5%) | .10 |
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| Hypertension | 12704 (82.9%) | 1485 (88.3%) | <.001 |
| Diabetes | 8175 (53.3%) | 994 (59.1%) | <.001 |
| Heart failure | 4041 (26.4%) | 403 (24.0%) | .03 |
| Valvular disease | 1483 (9.7%) | 100 (5.9%) | <.001 |
| Arrhythmia | 3979 (26.0%) | 448 (26.6%) | .55 |
| Cerebrovascular disease | 1049 (6.8%) | 82 (4.9%) | .002 |
| Peripheral vascular disease | 856 (5.6%) | 55 (3.3%) | <.001 |
| Chronic kidney disease | 11626 (75.8%) | 1304 (77.5%) | .12 |
| Hemodialysis | 705 (4.6%) | 60 (3.6%) | .05 |
| Chronic lung disease | 2389 (15.6%) | 244 (14.5%) | .25 |
| Tobacco use | 959 (6.3%) | 53 (3.2%) | <.001 |
| Cancer | 821 (5.4%) | 31 (1.8%) | <.001 |
| Obesity | 2781 (18.1%) | 369 (21.9%) | <.001 |
| Morbid obesity | 1009 (6.6%) | 141 (8.4%) | .01 |
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| Calcineurin inhibitor | 12945 (84.4%) | 1462 (86.9%) | .01 |
| Mycophenolate mofetil | 8794 (57.4%) | 815 (48.5%) | <.001 |
| Azathioprine | 643 (4.2%) | 39 (2.3%) | <.001 |
| mTOR inhibitor | 951 (6.2%) | 88 (5.2%) | .11 |
| Belatacept | 53 (.3%) | 2 (.1%) | .12 |
| Steroids | 10365 (67.6%) | 1405 (83.5%) | <.001 |
| Prednisone | 9023 (58.9%) | 934 (55.5%) | .01 |
| Dexamethasone | 1541 (10.1%) | 604 (35.9%) | <.001 |
| Remdesivir | 0 (.0%) | 238 (14.1%) | <.001 |
| Tocilizumab | 2 (.0%) | 94 (5.6%) | <.001 |
| Hydroxychloroquine | 166 (1.1%) | 332 (19.7%) | <.001 |
| Azithromycin | 1321 (8.6%) | 642 (38.2%) | <.001 |
| Intravenous immunoglobulin | 327 (2.1%) | 29 (1.7%) | .27 |
| Anticoagulation | 10452 (68.2%) | 1530 (91.0%) | <.001 |
| Discharge disposition | <.001 | ||
| Home | 12389 (80.8%) | 1090 (64.8%) | |
| Post‐acute care | 1447 (9.4%) | 167 (9.9%) | |
| Death/hospice | 624 (4.1%) | 313 (18.6%) | |
| Other | 870 (5.7%) | 112 (6.7%) |
: COVID‐19, coronavirus disease 2019; mTOR, mammalian target of rapamycin.
FIGURE 1Temporal trends in in‐hospital medication use for COVID‐19. The bar graph shows the proportion of SOT recipients with COVID‐19 treated with each respective therapeutic agent by month of hospitalization. Since treatment with dexamethasone is only indicated in hypoxic patients requiring supplemental oxygen, use of dexamethasone was evaluated in mechanically ventilated patients only. N refers to the number of SOT recipients with COVID‐19 hospitalized and discharged during each respective month
In‐hospital outcomes and resource utilization of SOT recipients according to COVID‐19 status
| Without COVID‐19 | With COVID‐19 | Unadjusted effect estimate (95% CI) |
| Adjusted |
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|---|---|---|---|---|---|---|---|
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| Venous thromboembolism | 540 (3.5%) | 71 (4.2%) | 1.21 (.94–1.55) | .14 | 1.13 (.86–1.47) | .38 | .10 |
| Intensive care | 2763 (18.0%) | 519 (30.9%) | 2.03 (1.82–2.27) | <.001 | 2.12 (1.88–2.39) | <.001 | .51 |
| Mechanical ventilation | 1057 (6.9%) | 347 (20.6%) | 3.51 (3.07–4.01) | <.001 | 3.75 (3.24–4.33) | <.001 | .29 |
| Renal replacement therapy | 1400 (15.1%) | 217 (21.6%) | 1.33 (1.15–1.53) | <.001 | 1.24 (1.07–1.44) | .01 | .40 |
| Cardiac arrest | 133 (.9%) | 59 (3.5%) | 4.15 (3.04–5.67) | <.001 | 4.05 (2.88–5.69) | <.001 | .28 |
| In‐hospital death | 405 (2.6%) | 289 (17.2%) | .03 | ||||
| April–May 2020 | 140 (3.0%) | 140 (22.6%) | 9.33 (7.25–12.01) | <.001 | 9.74 (7.08–13.39) | <.001 | |
| June–Nov 2020 | 265 (2.5%) | 149 (14.0%) | 6.43 (5.21–7.95) | <.001 | 7.08 (5.62–8.93) | <.001 | |
| Length of stay | 4 [2, 7] | 6 [3, 12] | 1.62 (1.54–1.69) | <.001 | 1.61 (1.54–1.69) | <.001 | .12 |
Effect estimates are presented as odds ratios (derived from logistic regression models for venous thromboembolism, intensive care, mechanical ventilation, renal replacement therapy, cardiac arrest, in‐hospital death) or ratios (derived from negative binomial regression models for length of stay). Reference is SOT recipients without COVID‐19. P‐interaction refers to test for effect modification of the association of COVID‐19 status with outcomes of interest according to month (April/May vs. June to November).
Adjusted for age, sex, race, geographic region, discharge month, obesity, hypertension, diabetes, heart failure, peripheral vascular disease, cerebrovascular disease, chronic kidney disease, chronic lung disease, cancer, and tobacco use.
FIGURE 2Temporal trends in in‐hospital mortality in SOT recipients hospitalized with and without COVID‐19. The bar graph shows in‐hospital mortality in SOT recipients hospitalized with (red) and without (blue) COVID‐19 by month of hospitalization. N refers to the total number of SOT recipients with and without COVID‐19, respectively, who were hospitalized and discharged during each respective month
In‐hospital outcomes and resource utilization in SOT recipients hospitalized with non‐COVID‐19 pneumonia and SOT recipients hospitalized with COVID‐19
| Non‐COVID‐19 pneumonia | COVID‐19 | Unadjusted effect estimate (95% CI) | P‐value | Adjusted | P‐value | P‐interaction | |
|---|---|---|---|---|---|---|---|
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| Venous thromboembolism | 87 (5.6%) | 71 (4.2%) | .74 (.54–1.02) | .07 | .67 (.47–.95) | .03 | .02 |
| Intensive care | 570 (36.8%) | 519 (30.9%) | .76 (.66–.89) | <.001 | .88 (.74–1.04) | .13 | .46 |
| Mechanical ventilation | 338 (21.8%) | 347 (20.6%) | .93 (.79–1.10) | .40 | 1.00 (.83–1.21) | .99 | .33 |
| Renal replacement therapy | 242 (24.9%) | 217 (21.6%) | .75 (.63–.90) | .002 | .79 (.64–.97) | .03 | .76 |
| Cardiac arrest | 55 (3.6%) | 59 (3.5%) | .99 (.68–1.43) | .94 | .98 (.64–1.50) | .94 | .28 |
| In‐hospital death | 146 (9.4%) | 289 (17.2%) | 1.99 (1.61–2.46) | <.001 | 2.44 (1.90–3.13) | <.001 | .68 |
| Length of stay | 6.0 [3.0, 11.0] | 6.0 [3.0, 12.0] | .84 (.78–.90) | <.001 | .91 (.84–.98) | .01 | .42 |
Effect estimates are presented as odds ratios (derived from logistic regression models for venous thromboembolism, intensive care, mechanical ventilation, cardiac arrest, in‐hospital death) or ratios (derived from negative binomial regression models for length of stay). Reference is SOT recipients with non‐COVID‐19 pneumonia. P‐interaction refers to test for effect modification of the association of COVID‐19 status with outcomes of interest according to month (April/May vs. June to November).
Adjusted for age, sex, race, geographic region, discharge month, obesity, hypertension, diabetes, heart failure, peripheral vascular disease, cerebrovascular disease, chronic kidney disease, chronic lung disease, cancer, and tobacco use.