| Literature DB >> 36124061 |
Montero Camilo1,2,3,4, Torres Rodolfo1,2,3, Benavidez Carlos5, Garcia Paola6, Jimenez Sandra7, Yomayusa Nancy2, Gayon Diana1, Perez Jorge1, Rosselli Diego8, Restrepo Hector9, Alvarez Carlos10.
Abstract
BACKGROUND: The impact of immunosuppression in solid organ transplant recipients with SARS CoV-2 infection is unknown. The knowledge about the behavior of different immunosuppression schemes in clinical outcomes is scarce. This study aimed to determine the risk of death in kidney transplant recipients with COVID-19 under two different schemes of immunosuppression.Entities:
Year: 2022 PMID: 36124061 PMCID: PMC9472766 DOI: 10.1016/j.nefro.2022.09.003
Source DB: PubMed Journal: Nefrologia ISSN: 0211-6995 Impact factor: 3.084
Characteristics of kidney transplant recipients included in the COVID-19 registry.
| All | Recovered | Deceased | ||
|---|---|---|---|---|
| 99 (60.0%) | 82 (59.9%) | 17 (60.7%) | .449 | |
| Mean (SD) | 49 (14) | 46 (14) | 60 (11) | .000 |
| Median (IQR) | 48 (38–60) | 44 (36–56) | 59 (54–68) | |
| Range | 12–85 | 12–76 | 42–85 | |
| >60 | 40 (24.2%) | 27 (19.7%) | 13 (46.4%) | .003 |
| Mean (SD) | 25.5 (3.8) | 25.3 (3.8) | 26.4 (4.0) | .169 |
| Range | 18–45 | 18–45 | 18–36 | |
| Mean (SD) | 6.4 (5.7) | 6.7 (5.6) | 4.8 (5.6) | .103 |
| Range | 0–34.5 | 0.1–34.5 | 0–19.8 | |
| Less than 6 months | 14 (8.5%) | 9 (6.6%) | 5 (17.9%) | .056 |
| Hypertension | 115 (69.7%) | 93 (67.9%) | 22 (78.6%) | .185 |
| Diabetes | 44 (26.7%) | 28 (20.4%) | 16 (57.1%) | .001 |
| BMI > 30 kg/m2 | 14 (8.5%) | 11 (8.0%) | 3 (10.7%) | .463 |
| CNI | 106 (64.2%) | 83 (60.6%) | 23 (82.1%) | .025 |
| Tacrolimus | 99 (60.0%) | 78 (56.9%) | 21 (75%) | .05 |
| mTor inhibitors | 25 (15.2%) | 23 (16.8%) | 2 (7.1%) | .159 |
| Belatacept | 35 (21.2%) | 31 (22.6%) | 4 (14.3%) | .233 |
| MPA | 152 (92.1%) | 127 (92.7%) | 25 (89.3%) | .41 |
| Azathioprine | 7 (4.2%) | 5 (3.6%) | 2 (7.1%) | .374 |
| Steroids | 130 (78.8%) | 104 (75.9%) | 26 (92.9%) | .041 |
| Fever | 98 (59.4%) | 80 (58.4%) | 18 (64.3%) | .357 |
| Cough | 91 (55.2%) | 74 (54.0%) | 17 (60.7%) | .329 |
| Dyspnea | 64 (38.8%) | 48 (35.0%) | 16 (57.1%) | .024 |
| Hypoxemia | 63 (38.2%) | 37 (27.0%) | 26 (92.9%) | <.001 |
| Pulmonary infiltrates | 87 (52.7%) | 61 (44.5%) | 26 (92.9%) | <.001 |
| Hospitalization | 82 (49.7%) | 55 (40.1%) | 27 (96.4%) | <.001 |
| Mechanical ventilation | 36 (21.8%) | 12 (8.8%) | 24 (85.7%) | <.001 |
| Hemodialysis | 15 (9.1%) | 3 (2.2%) | 12 (42.9%) | <.001 |
| Hydroxychloroquine | 3 (1.8%) | 3 (2.2%) | 0 (0.0%) | .285 |
| Lopinavir/ritonavir | 1 (0.6%) | 1 (0.7%) | 0 (0.0%) | .321 |
| Ivermectin | 31 (18.8%) | 16 (11.7%) | 15 (53.6%) | <.001 |
| Dexamethasone | 53 (32.1%) | 28 (20.4%) | 25 (89.3%) | <.001 |
| Antibiotics | 66 (40.0%) | 41 (29.9%) | 25 (89.3%) | <.001 |
BMI, body mass index; CNI, calcineurin inhibitors; IQR, inter-quartile range; MPA, mycophenolic acid; SD, standard deviation.
Univariate and multivariate Cox regression analyses for death after COVID-19 in kidney transplant recipients included in the registry.
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Age > 60 years | 3.4 (1.6–7.2) | .001 | 1.2 (0.5–3.1) | .647 |
| Diabetes | 4.0 (1.9–8.6) | .000 | 2.3 (0.9–6.0) | .082 |
| Time from KT < 6 months | 2.9 (1.1–7.6) | .034 | 0.7 (0.2–2.0) | .500 |
| Dyspnea | 2.34 (1.1–5.0) | .028 | 0.58 (0.2–1.4) | .220 |
| Hypoxemia | 29.3 (6.9–124.5) | .000 | 41.0 (7.7–218.5) | .000 |
| Steroids | 4.0 (0.9–16.9) | .060 | 1.1 (0.2–5.3) | .898 |
| Calcineurin inhibitors | 3.4 (1.2–9.7) | .026 | 6.1 (1.9–19.4) | .002 |
CI, confidence interval; HR, hazard ratio; KT, kidney transplant.
Clinical characteristics of kidney transplant recipients according to their immunosuppression regimen at the time of SARS-CoV-2 infection diagnosis.
| CNI | CNI free | ||
|---|---|---|---|
| Mean (SD) | 48.2 | 49.1 | .694 |
| Median (IQR) | 45 | 49.1 | |
| Range | 52 | 73.4 | |
| Mean (SD) | 25.33 | 25.56 | .71 |
| Median (IQR) | 25.18 | 25.47 | |
| Range | 25.26 | 17.61 | |
| Mean (SD) | 7.5 | 5.8 | .082 |
| Median (IQR) | 5.2 | 4.3 | |
| Range | 34.2 | 19.1 | |
| Age > 60 | 25 (23.6) | 15 (25.4) | .109 |
| Males | 64 (60.4) | 35 (59.3) | .004 |
| Less than 6 months | 12 (11.3) | 2 (3.4) | .019 |
| Hypertension | 76 (71.7) | 38 (64.49) | .271 |
| Diabetes | 30 (28.3) | 14 (23.7) | .525 |
| BMI > 30 kg/m2 | 10 (9.4) | 4 (6.8) | .71 |
| Steroids | 85 (80.2) | 45 (76.3) | .556 |
| Fever | 59 (55.7) | 39 (66.1) | .15 |
| Nasal congestion | 9 (8.5) | 10 (16.9) | .092 |
| Cough | 56 (52.8) | 35 (59.3) | .355 |
| Odynophagia | 24 (22.6) | 13 (22) | .973 |
| Dyspnea | 44 (41.5) | 20 (33.9) | .378 |
| Myalgia | 52 (49.1) | 25 (42.4) | .466 |
| Diarrhea | 37 (34.9) | 14 (23.7) | .156 |
| Fatigue | 56 (52.8) | 19 (32.2) | .015 |
| Anosmia/dysgeusia | 10 (9.4) | 8 (13.6) | .396 |
| Hypoxemia | 42 (39.6) | 21 (35.6) | .61 |
| Pulmonary infiltrates | 52 (49.1) | 35 (59.3) | .207 |
| Hospitalization | 54 (50.9) | 28 (47.5) | .668 |
| Mechanical ventilation | 25 (23.6) | 11 (18.6) | .837 |
| Hemodialysis | 10 (9.4) | 5 (8.5) | .462 |
| Hydroxychloroquine | 3 (2.8) | 0 | .99 |
| Lopinavir/ritonavir | 1 (0.9) | 0 | 1 |
| Ivermectin | 21 (19.8) | 10 (16.9) | .652 |
| Dexamethasone | 37 (34.9) | 16 (27.1) | .306 |
| Antibiotics | 43 (40.6) | 24 (40.7) | .995 |
| Muerte | 23 (21.7) | 5 (8.5) | .036 |
Fig. 1Survival function for death according to CNI based immunosuppression regimen and CNI free immunosuppression regimen at the time of SARS-CoV-2 infection diagnosis.