| Literature DB >> 35870131 |
Vamsidhar Veeranki1, Narayan Prasad1, Jeyakumar Meyyappan1, Dharmendra Bhadauria1, Manas R Behera1, Ravi Kushwaha1, Manas R Patel1, Monika Yaccha1, Anupama Kaul1.
Abstract
INTRODUCTION: The corticosteroid dosing modulation in renal transplant recipients (RTRs) with coronavirus disease-19 (COVID-19) is not well defined. We aimed to analyze the outcomes and infectious and non-infectious sequelae in RTR with COVID-19 with reference to corticosteroid dosing and the first and second pandemic waves of COVID-19.Entities:
Keywords: coronavirus disease-19; high-dose corticosteroids; renal transplant recipients; sequelae
Year: 2022 PMID: 35870131 PMCID: PMC9349989 DOI: 10.1111/tid.13908
Source DB: PubMed Journal: Transpl Infect Dis ISSN: 1398-2273
Baseline characteristics of transplant patients with COVID‐19
| Variable | Total ( | Wave 1 ( | Wave 2 ( |
|
|---|---|---|---|---|
| Age (mean ± SD) | 43.3 (12.8) | 44.09 (±12.8) | 42.8 (±12.9) | .41 |
| Gender (male, %) | 210 (83.6%) | 88 (84.6%) | 122 (93.1%) | .07 |
| Type of transplant | ||||
| • ABOc live donor | 233 (92.8%) | 96 (92.3%) | 137 (93.2%) | .8 |
| • ABOi live donor | 18 (7.1%) | 8 (7.7%) | 10 (6.8%) | .7 |
| Duration since transplant (months), mean ± SD | 65.9 ± 8.2 | 64.33 ± 48.1 (2–280) | 66.6 ± 52.2 (15 days–335 months) | .9 |
| Comorbidity | ||||
| • DM | 109 (43.4%) | 36 (34.6%) | 73 (49.6%) | .03 |
| • HTN | 202 (80.4%) | 73 (70.2%) | 129 (87.7%) | .002 |
| • CAD | 10 (4%) | 7 (6.7%) | 3 (2%) | .06 |
| • Past history TB | 34 (13.5%) | 13 (12.5%) | 21 (14%) | .11 |
| • Past history fungal pneumonia | 9 (3.5%) | 4 (3.8%) | 5 (3.4%) | .8 |
| Induction | ||||
| • ATG | 52 (20.7%) | 28 (26.9%) | 24 (16.3%) | .04 |
| • Basiliximab | 156 (62.1%) | 48 (46.2%) | 108 (73.4%) | .001 |
| • Unknown/no induction | 43 (17.1%) | 28 (26.9%) | 15 (10.2%) | .001 |
| Maintenance immunosuppression | ||||
| • Triple (T/C + M + P) | 248 (98.8%) | 102 (98%) | 146 (99.3%) | .8 |
| • Dual (T/C + P) | 3 (1.2%) | 2 (2%) | 1 (0.6%) | .3 |
| Disease severity | ||||
| • Mild to moderate | 187 (74.5%) | 75 (72.1%) | 112 (76.1%) | .6 |
| • Severe | 64 (25.5%) | 29 (27.8%) | 35 (23.8%) | |
| Antimetabolite alteration | ||||
| • Reduced | 153 (60.9%) | 60 (57.6%) | 93 (63.2%) | .38 |
| • Stopped | 82 (32.7%) | 33 (31.8%) | 49 (34%) | .71 |
| • No alteration | 16 (6.4%) | 11 (10.6%) | 5 (3%) | .01 |
| CNI alteration | ||||
| • Reduced | 56 (22.3%) | 23 (22.1%) | 33 (22.4%) | .95 |
| • Stopped | 16 (6.3%) | 3 (2.9%) | 13 (8.8%) | .06 |
| • No alteration | 179 (71.4%) | 78 (75%) | 101 (68.7%) | .27 |
| Steroids increased | 221 (88%) | 80 (76.9%) | 141 (95.9%) | .002 |
| • Standard dose | 176 (70.1%) | 68 (65.4%) | 108 (73.5%) | .18 |
| • High dose | 45 (17.9%) | 12 (11.5%) | 33 (22.4%) | .03 |
| Antiviral strategies | ||||
| • Ivermectin | 188 (74.9%) | 89 (85.6%) | 99 (67.3%) | .005 |
| • Azithromycin | 216 (86%) | 91 (87.5%) | 125 (85%) | .5 |
| • Convalescent plasma | 1 (0.3%) | 1 | 0 | .7 |
| • Tocilizumab | 2 (0.7%) | 0 | 2 (1.5%) | .4 |
| • Tofacitinib | 6 (2.4%) | 0 | 6 (4.0%) | .04 |
| • IVIG | 12 (4.8%) | 0 | 12 (7.3%) | .005 |
| • Remdesivir | 86 (34.3%) | 46 (44.2%) | 40 (27.2%) | .005 |
Abbreviations: ABOc, ABO‐compatible transplant; ABOi, ABO‐incompatible transplant; ATG, anti‐thymocyte globulin; CAD, coronary artery disease; CNI, calcineurin inhibitors; DM, diabetes mellitus; HTN, hypertension; IVIG, intravenous immunoglobulin; TB, tuberculosis; T/C + M + P, tacrolimus/cyclosporine + mycophenolate mofetil + prednisolone.
Comparison of survivors and non‐survivors across both pandemic waves among renal transplant recipients with COVID‐19
| Survivors ( | Non‐survivors ( | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Variable | Total | Wave 1 ( | Wave 2 ( |
| Total | Wave 1 ( | Wave 2 ( |
|
|
| Age (mean, years) ± SD | 41.9 ± 12.6 | 43.2 (12.4) | 41.09 (12.8) | .22 | 50.8 ± 11.12 | 50.7 (13.5) | 50.9 (10.1) | .95 |
|
| Gender (male, %) | 189 (88.7%) | 74 (83.1%) | 115 (92.7%) | .029 | 35 (92.1%) | 11 (91.7%) | 24 (92.3%) | .94 | .53 |
| Type of transplant | .71 | .76 | .52 | ||||||
| • ABOc live donor | 197 (92.5%) | 83 (93.3%) | 114 (91.9%) | 34 (89.5%) | 11 (91.7%) | 23 (88.5%) | |||
| • ABOi live donor | 16 (7.5%) | 6 (6.7%) | 10 (8.1%) | 4 (10.5%) | 1 (8.3%) | 3 (11.5%) | |||
| Type of transplant | .37 |
| |||||||
| • Live | 210 (98.6%) | 87 (97.8%) | 123 (99.2%) | 35 (92.1%) | 11 (91.7%) | 24 (92.3%) | .94 | ||
| • Cadaveric | 3 (1.4%) | 2 (2.2%) | 1 (0.8%) | 3 (7.9%) | 1 (8.3%) | 2 (7.7%) | |||
| Induction | |||||||||
| • ATG | 40 (18.8%) | 22 (24.7%) | 18 (14.5%) | .06 | 173 (81.2%) | 5 (41.7%) | 5 (19.2%) | .14 | .28 |
| • Basiliximab | 133 (62.4%) | 41 (46.1%) | 92 (74.2%) | <.001 | 25 (65.8%) | 5 (41.7%) | 20 (76.9%) | .03 | .69 |
| • No induction | 40 (18.8%) | 26 (29.2%) | 14 (11.3%) | .02 | 3 (7%) | 2 (16.7%) | 1 (3.8%) | .17 | .10 |
| Maintenance immunosuppression | .09 | .03 | |||||||
| • Triple | 211 (84.7%) | 87 (97.8%) | 124 (100%) | 38 (15.3%) | 12 (31.6%) | 26 (68.4%) | .54 | ||
| • Dual | 2 (0.9%) | 2 (2.2%) | 0 | 0 | 0 | 0 | |||
| Duration since transplant (months), mean (range) | 65.3 ± 49.1 | 67.7 (49.3) | 63.7 (49.1) | .56 | 69.08 ± 43.1 | 52.2 (42.1) | 77.5 (41.9) | .09 | .67 |
| Comorbidity | |||||||||
| • DM | 84 (39.4%) | 30 (33.7%) | 54 (43.5%) | .14 | 25 (65.8%) | 7 (58.3%) | 18 (69.2%) | .16 |
|
| • HTN | 168 (78.9%) | 63 (70.8%) | 105 (84.7%) | .01 | 32 (84.2%) | 8 (66.7%) | 24 (92.3%) | .04 | .451 |
| • CAD | 5 (2.3%) | 2 (2.2%) | 3 (2.4%) | .93 | 4 (10.5%) | 1 (8.3%) | 3 (11.5%) | .76 |
|
| • History of PTB | 28 (13.1%) | 9 (10.1%) | 19 (67.9%) | .26 | 4 (10.5%) | 2 (16.7%) | 2 (7.7%) | .40 | .65 |
| • History of fungal pneumonia | 4 (1.9%) | 2 (2.2%) | 2 (1.6%) | .73 | 3 (7.9%) | 2 (16.7%) | 1 (3.8%) | .17 |
|
| History of rejection within the last 1 year | 31 (14.6%) | 6 (6.7%) | 25 (20.2%) | .006 | 10 (26.3%) | 1 (8.3%) | 9 (34.6%) | .08 | .071 |
| COVID‐19 severity category | |||||||||
| • Mild | 162 (76.1%) | 68 (76.4%) | 94 (75.8%) | .92 | 4 (10.5%) | 0 | 4 (15.4%) | .15 |
|
| • Moderate | 22 (10.3%) | 6 (6.7%) | 16 (12.9%) | .14 | 1 (4.3%) | 0 | 1 (3.8%) | .49 | .130 |
| • Severe | 29 (13.6%) | 15 (16.9%) | 14 (11.3%) | .24 | 33 (86.8%) | 12 (36.4%) | 21 (63.6%) | .10 |
|
| Serum ferritin | 1026.8 (2753) | 626.9 (472.3) | 1363.9 (3690.5) | .13 | 5294.4 (5499.1) | 1067.6 (606.1) | 6213.3 (5666.01) | .05 |
|
| C‐reactive protein | 40.2 (58.7) | 51.7 (72.8) | 30.8 (42.4) | .04 | 139.3 (91.3) | 199.5 (111.7) | 103.2 (71.6) | .006 |
|
| Graft dysfunction at presentation | 78 (36.6%) | 40 (44.9%) | 38 (30.6%) | .03 | 30 (78.9%) | 12 (100%) | 18 (69.2%) | .03 |
|
| Steroids | .07 |
| |||||||
| • High‐dose steroids | 24 (11.3%) | 6 (6.7%) | 18 (14.5%) | 25 (65.8%) | 6 (50%) | 19 (73.1%) | .16 | ||
| • Low‐dose–medium‐dose steroids | 189 (88.7%) | 83 (93.3%) | 116 (85.5%) | 13 (34.2%) | 6 (50%) | 7 (26.9%) | .17 | ||
| Antimetabolite alteration | |||||||||
| • Reduced | 150 (70.4%) | 59 (66.3%) | 91 (73.3%) | .27 | 3 (7.8%) | 1 (7.6%) | 1 (4%) | .85 |
|
| • Stopped | 48 (22.5%) | 20 (22.4%) | 28 (18.5%) | .48 | 34 (89.6%) | 11 (84.8%) | 24 (92.3%) | .55 | .609 |
| • Unaltered | 15 (7%) | 10 (11.3%) | 5 (4%) | .04 | 1 (2.6%) | 1 (7.6%) | 0 | ||
| CNI alteration | .93 | ||||||||
| • Reduced | 34 (15.9%) | 14 (15.7%) | 20 (16.1%) | 22 (57.9%) | 6 (50%) | 16 (61.5%) | .51 |
| |
| • Stopped | 0 | 0 | 0 | 16 (42.1%) | 2 (16.7%) | 4 (15.3%) | .91 | ||
| ICU requirement at admission | 7 (3.3%) | 2 (2.2%) | 5 (4%) | .47 | 28 (73.7%) | 4 (14.3%) | 24 (85.7%) | <.001 |
|
| Oxygen requirement at admission | 51 (23.9%) | 21 (23.6%) | 30 (24.1%) | .93 | 34 (89.4%) | 12 (100%) | 22 (84.6%) | .15 |
|
| Ventilator requirement during the course (including NIV) | 2 (0.9%) | 1 (1.1%) | 1 (0.8%) | .813 | 38 (100%) | 12 (31.6%) | 26 (68.4%) |
|
|
| Vasopressor requirement during course | 2 (0.9%) | 1 (1.1%) | 1 (0.8%) | .813 | 35 (92.1%) | 9 (25.7%) | 26 (74.3%) | .008 |
|
Abbreviations: ABOc, ABO‐compatible transplant; ABOi, ABO‐incompatible transplant; ATG, anti‐thymocyte globulin; CAD, coronary artery disease; CNI, calcineurin inhibitors; DM, diabetes mellitus; HTN, hypertension; ICU, intensive care unit; NIV, non‐invasive ventilation; PTB, pulmonary tuberculosis.
Predictors of 4‐week mortality in COVID‐19 affected renal transplant recipients using univariate and multivariate Cox regression analyses
| Univariate analysis | |||
|---|---|---|---|
| Independent variables | Odds ratio | 95% CI |
|
| Age | |||
| • <40 years | 0.3 | 0.16–0.806 | .013 |
| • 40–60 years | 1.7 | 0.86–3.5 | .12 |
| • >60 years | 2.6 | 1.2–6.7 | .04 |
| Male gender | 0.67 | 0.19–2.3 | .53 |
| Comorbidities | |||
| • Diabetes mellitus | 2.95 | 1.4–6.09 | .003 |
| • Hypertension | 1.43 | 0.56–3.62 | .453 |
| • Coronary artery disease | 4.89 | 1.25–19.1 | .022 |
| • Past history of tuberculosis | 0.77 | 0.25–2.35 | .656 |
| • Past history of fungal pneumonia | 0.22 | 0.04–1.1 | .062 |
| Live transplant | 0.16 | 0.03–0.85 | .01 |
| Induction regimen | |||
| • ATG | 0.64 | 0.29–1.44 | .28 |
| • Basiliximab | 0.86 | 0.42–1.78 | .69 |
| COVID‐19 disease severity | |||
| • Mild category | 0.03 | 0.01–0.10 | <.001 |
| • Moderate category | 0.235 | 0.03–1.79 | .163 |
| • Severe category | 41.86 | 15.1–115.9 | <.001 |
| Graft dysfunction at presentation | 6.49 | 2.83–14.85 | <.001 |
| High‐dose steroid versus standard dose | 15.14 | 6.86–33.48 | <.001 |
| O2 requirement at presentation | 27.71 | 9.3–81.8 | <.001 |
| Requirement of mechanical ventilation including NIV | 86.33 | 29.1–256.1 | <.001 |
| Requirement of vasopressor support | 295.4 | 61.5–1417.7 | <.001 |
Abbreviations: ATG, anti‐thymocyte globulin; CI, confidence interval; NIV, non‐invasive ventilation.
Follow‐up data of infectious and non‐infectious sequelae among high‐dose and standard‐dose corticosteroids during COVID‐19 (n = 208)
| Variables | Total ( | High‐dose corticosteroids ( | Standard‐dose corticosteroids ( |
|
|---|---|---|---|---|
| 6‐month mortality | 5 (2.4%) | 4 (17.3%) | 1 (0.5%) | <.001 |
| Readmission rate | 65 (31.2%) | 21 (91.3%) | 44 (23.7%) | <.001 |
| Fungal infections | 11 (5.2%) | 7 (30.4%) | 4 (2.2%) | <.001 |
| Major infections requiring hospitalization | 34 (25%) | 5 (21.7%) | 29 (31.8%) | .32 |
| 1. UTI | 17 (8.1%) | 2 (8.7%) | 15 (8.3%) | .94 |
| 2. LRTI | 2 (0.9%) | 1 (4.3%) | 1 (0.2%) | .02 |
| 3. Tuberculosis | 6 (2.8%) | 1 (4.3%) | 5 (2.7%) | .66 |
| 4. Viral infections | 9 (4.3%) | 1 (4.3%) | 8 (4.3%) | 1.0 |
| A) BKV | 4 (1.9%) | 0 | 4 (2.2%) | .4 |
| B) CMV | 2 (0.9%) | 0 | 2 (1.1%) | .6 |
| C) Others | 3 (1.4%) | 0 | 2 (1.6%) | .44 |
| a. Dengue | 2 (0.9%) | 1 (4.3%) | 1 (0.6%) | .09 |
| b. Herpes simplex | 1 (0.5%) | 0 | 1 (0.6%) | .77 |
| Non‐infectious complications | ||||
| 1. Post‐COVID lung sequelae | 13 (6.2%) | 5 (21.7%) | 8 (4.4%) | .008 |
| 2. BPAR | 10 (4.8%) | 3 (13%) | 6 (3.8%) | .05 |
Abbreviations: BPAR, biopsy‐proven acute rejection; BKV, BK virus; CMV, cytomegalovirus; LRTI, lower respiratory tract infection; UTI, urinary tract infection.
Donor‐specific antibody (DSA) by single antigen bead assay was available for four patients and was positive for class II antibodies. Two patients with antibody‐mediated rejection and one with mixed rejection were treated based on biopsy reports, as DSA could not be performed due to financial constraints.
FIGURE 1Subpleural honeycombing (arrow) and focal fibrosis (arrowheads) seen in a renal transplant recipient who recovered from COVID‐19.
FIGURE 2(A) A patient recovered from COVID‐19, had a sloughed tongue base, involvement of palate and sinuses with mucorales; (B) surviving post‐COVID sequelae with persisting cavitary pneumonia and bronchiectasis changes (arrowheads).