| Literature DB >> 35939382 |
José Medina-Pestana1, Laila Almeida Viana1, Monica Rika Nakamura1, Elizabeth França Lucena1, Celso Francisco Hernandes Granato2, Yasmim Cardoso Dreige1, Laysla Verhalen Pouzo Amorim1, Charles Yea Zen Chow1, Renato Demarchi Foresto1, Lucio Roberto Requião-Moura1, Helio Tedesco-Silva1, Marina Pontello Cristelli1.
Abstract
BACKGROUND: Comparative studies of third heterologous doses following the CoronaVac vaccine against coronavirus disease 2019 (COVID-19) in kidney transplant recipients are lacking.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35939382 PMCID: PMC9521386 DOI: 10.1097/TP.0000000000004260
Source DB: PubMed Journal: Transplantation ISSN: 0041-1337 Impact factor: 5.385
FIGURE 1.Disposition of the entire cohort and of the patients included in the study, according to homologous vs heterologous third vaccine dose. COVID-19, coronavirus disease 2019; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Baseline characteristics of the studied population, according to homologous CoronaVac vs heterologous BNT162b2 third dose
| Parameters | Third heterologous BNT162b2 | Third homologous CoronaVac |
|
|---|---|---|---|
| (n = 307) | (n = 777) | ||
| Median age, y (IQR) | 54.0 (47.6–61.1) | 50.3 (43.5–56.7) | <0.0001 |
| 30–60 y, n (%) | 216 (70.3) | 681 (87.7) | <0.0001 |
| >60 y, n (%) | 91 (29.6) | 96 (12.3) | |
| Male gender, n (%) | 179 (58.3) | 449 (57.7) | 0.857 |
| Diabetes, n (%) | 21 (6.8) | 86 (11.1) | 0.032 |
| Deceased donor transplant, n (%) | 183 (59.6) | 532 (68.4) | 0.006 |
| Organ, n (%) | |||
| Kidney | 289 (94.1) | 749 (96.3) | 0.109 |
| Simultaneous pancreas-kidney | 18 (5.9) | 28 (3.7) | |
| Median length of transplant, y (IQR) | 11.2 (6.8–17.2) | 6.0 (2.8–10.8) | <0.0001 |
| Maintenance immunosuppressive regimen, n (%) | |||
| TAC-Pred-AZA | 100 (32.6) | 238 (30.7) | 0.543 |
| TAC-Pred-MPA | 108 (35.1) | 345 (44.4) | 0.005 |
| CSA-Pred-AZA | 62 (20.2) | 80 (10.3) | <0.0001 |
| TAC-Pred-mTORi | 21 (6.8) | 91 (11.7) | 0.017 |
| Other | 16 (5.3) | 23 (2.9) | 0.055 |
| Maintenance regimen by immunosuppressive drug, n (%) | |||
| Calcineurin inhibitors | |||
| TAC | 232 (75.5) | 677 (87.2) | <0.0001 |
| CSA | 70 (22.8) | 84 (10.8) | <0.0001 |
| Pred | 307 (100) | 777 (100) | – |
| Antimetabolite | |||
| MPA | 116 (37.8) | 357 (45.9) | 0.015 |
| AZA | 165 (53.7) | 321 (41.3) | 0.0002 |
| mTORi | 23 (7.5) | 100 (12.9) | 0.012 |
| Median baseline creatinine, mg/dL | 1.38 (1.14–1.81) | 1.49 (1.19–1.88) | 0.077 |
| Median time from 2nd to 3rd dose, d (IQR) | 156 (152–158) | 139 (80–146) | <0.0001 |
| Median time after the 3rd dose to laboratory evaluation, d (IQR) | 25 (23–26) | 35 (29–35) | <0.0001 |
AZA, azathioprine; CSA, cyclosporine; IQR, interquartile range; MPA, mycophenolic acid; mTORi, mammalian target of rapamycin inhibitor; Pred, prednisone; TAC, tacrolimus.
Immunogenicity analysis of the studied population, according to homologous CoronaVac vs heterologous BNT162b2 third dose
| Parameters | Heterologous BNT162b2 | Homologous CoronaVac |
| ||
|---|---|---|---|---|---|
| (n = 307) | (n = 777) | ||||
| Serological status immediately before the third dose | |||||
| IgG-anti-RBD-negative, n (%) | 196 (63.8) | 509 (65.5) | 0.597 | ||
| IgG-anti-RBD-positive, n (%) | 111 (36.2) | 268 (34.5) | |||
| Median antibody values, AU/mL (IQR) | 246 (109–792) | 268 (118–1158) | 0.279 | ||
| Serological status after the third dose | |||||
| IgG-anti-RBD-negative, n (%) | 100 (32.6) | 346 (44.5) | 0.0003 | ||
| IgG-anti-RBD positive, n (%) | 207 (67.4) | 431 (55.5) | |||
| Median antibody values, AU/mL (IQR) | 7771 (1295–20 158) | 599 (195–1661) | <0.0001 | ||
| Serologic status combinations | Before third dose (D1) | After third dose (D2) | Before third dose (D1) | After third dose (D2) | |
| D1 (+) D2 (+), n (%) | 111 (36.2) | 268 (34.5) | |||
| Median antibody values, AU/mL (IQR) | 246 (109–792) | 16 468 (6414–28 020) | 288 (118–1158) | 1094 (512–2730) | |
| D1 (−) D2 (+), n (%) | 96 (31.2) | 165 (21.2) | |||
| Median antibody values, AU/mL (IQR) | NA | 1768 (438–7657) | NA | 189 (98–417) | |
| D1 (−) D2 (−), n (%) | 100 (32.6) | 344 (44.2) | |||
< 0.0001 for comparisons between D1 and D2 and between heterologous and homologous subgroups.
= 0.277 for comparisons between heterologous and homologous D1 within the D1(+) D2(+) subgroup.
D1, serological status immediately before the third dose; D2, serological status after the third dose; IgG, immunoglobulin G; IQR, interquartile range; NA, not applicable; RBD, receptor domain binding.
FIGURE 2.Comparative analysis of seroprevalence and seroconversion rates between the heterologous BNT262b2 and homologous CoronaVac vaccine groups. IgG, immunoglobulin G; RBD, receptor-binding domain; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
FIGURE 3.Comparative analysis of the IgG anti-SARS-CoV-2 values before and after the heterologous vs homologous vaccination (A) among those patients who were already seropositive before the third dose and (B) among those patients who were seronegative before the third dose, but presented Seroconversion afterwards. IgG, immunoglobulin G; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
FIGURE 4.Comparative analysis of the seroprevalence for neutralizing antibody values before and after the heterologous vs homologous vaccination among those patients who had a positive test for IgG–anti–SARS-CoV-2 before the third dose. IgG, immunoglobulin G; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.
Univariate and multivariate analysis for seroconversion in the 705 patients who were seronegative immediately before the third dose
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Factors |
| OR (95% CI) |
| OR (95% CI) |
| Age at third dose | 0.006 | 0.98 (0.96-0.99) | 0.01 | 0.98 (0.96-0.99) |
| Male gender | 0.20 | 1.14 (0.94-1.39) | – | |
| Diabetes | 0.28 | 0.97 (0.91-1.02) | – | |
| Time from transplantation to third dose | <0.0001 | 1.05 (1.02-1.07) | 0.22 | 1.02 (0.99-1.05) |
| Deceased donor (vs living donor) | <0.0001 | 0.49 (0.39-0.63) | <0.0001 | 0.44 (0.30-0.65) |
| Tacrolimus (vs cyclosporine) | 0.11 | 0.74 (0.53-1.05) | – | |
| Mycophenolate (vs AZA/mTORi, in patients on calcineurin inhibitors) | 0.39 | 0.94 (0.82-1.07) | – | |
| mTOR inhibitors (vs AZA/MPA, in patients on calcineurin inhibitors) | 0.71 | 0.99 (0.94-1.04) | – | |
| Time from second to third dose | 0.39 | 1.00 (1.00-1.00) | – | |
| Heterologous third dose (vs homologous) | <0.0001 | 1.22 (1.10-1.36) | <0.0001 | 2.00 (1.36-2.93) |
AZA, azathioprine; CI, confidence interval; MPA, mycophenolate; mTORi, inhibitors of the mammalian target of rapamycin; OR, odds ratio.
Univariate and multivariate analysis for presenting high antibody values (>840 AU/mL) after the third dose, independently on the titers before the third dose
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Factors |
| OR (95% CI) |
| OR (95% CI) |
| Age at third dose | 0.15 | 0.99 (0.98-1.00) | – | |
| Male gender | 0.60 | 0.96 (0.83-1.11) | – | |
| Diabetes | 0.001 | 0.93 (0.90-0.97) | 0.04 | 0.57 (0.34-0.97) |
| Time from transplantation to third dose | <0.0001 | 1.05 (1.03-1.07) | 0.54 | 1.01 (0.98-1.03) |
| Deceased donor (vs living donor) | <0.0001 | 0.67 (0.56-0.80) | 0.006 | 0.65 (0.47-0.88) |
| Tacrolimus (vs cyclosporine) | 0.02 | 0.71 (0.53-0.93) | 0.89 | 0.97 (0.66-1.44) |
| Mycophenolate (vs AZA/mTORi, in patients on calcineurin inhibitors) | 0.11 | 0.91 (0.82-1.02) | – | |
| mTOR inhibitors (vs AZA/MPA, in patients on calcineurin inhibitors) | 0.54 | 0.98 (0.94-1.03) | – | |
| Time from second to third dose | <0.0001 | 1.04 (1.04-1.05) | 0.14 | 1.00 (1.00-1.00) |
| Heterologous third dose (vs homologous) | <0.0001 | 1.54 (1.39-1.72) | <0.0001 | 3.69 (2.72-5.01) |
Antibody values higher than 840 AU/mL were labeled as high antibody values, based on the Food and Drug Administration guideline criterion for the therapeutic use convalescent plasma.[20]
AZA, azathioprine; CI, confidence interval; MPA, mycophenolate; mTORi, inhibitors of the mammalian target of rapamycin; OR, odds ratio.
Univariate and multivariate analysis for acquiring SARS-CoV-2 infection after the third dose
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Factors |
| OR (95% CI) | ||
| Age at third dose | 0.42 | 0.98 (0.95-1.03) | ||
| Male gender | 0.46 | 0.86 (0.59-1.25) | ||
| Diabetes | 1.00 | 0.99 (0.89-1.12) | ||
| Time from transplantation to third dose | 0.25 | 0.97 (0.91-1.02) | ||
| Deceased donor (vs living donor) | 0.43 | 1.34 (0.69-2.59) | ||
| Tacrolimus (vs cyclosporine) | 0.04 | 0.86 (0.81-0.93) | ||
| Mycophenolate (vs AZA/mTORi, in patients on calcineurin inhibitors) | 0.56 | 0.91 (0.69-1.21) | ||
| mTOR inhibitors (vs AZA/MPA, in patients on calcineurin inhibitors) | 0.07 | 1.15 (0.95-1.39) | ||
| Heterologous third dose (vs homologous) | 0.16 | 0.85 (0.72-0.99) | ||
AZA, azathioprine; CI, confidence interval; MPA, mycophenolate; mTORi, inhibitors of the mammalian target of rapamycin; OR, odds ratio.