| Literature DB >> 35896770 |
Mônica Rika Nakamura1,2, Lúcio R Requião-Moura3,4, Roberto Mayer Gallo1, Camila Botelho1, Júlia Taddeo1, Laila Almeida Viana1, Cláudia Rosso Felipe2, José Medina-Pestana1,2, Hélio Tedesco-Silva1,2.
Abstract
Due to the high costs, the strategy to reduce the impact of cytomegalovirus (CMV) after kidney transplant (KT) involves preemptive treatment in low and middle-income countries. Thus, this retrospective cohort study compared the performance of antigenemia transitioned to quantitative nucleic acid amplification testing, RT-PCR, in CMV-seropositive KT recipients receiving preemptive treatment as a strategy to prevent CMV infection. Between 2016 and 2018, 363 patients were enrolled and received preemptive treatment based on antigenemia (n = 177) or RT-PCR (n = 186). The primary outcome was CMV disease. Secondarily, the CMV-related events were composed of CMV-infection and disease, which occurred first. There were no differences in 1-year cumulative incidence of CMV-disease (23.7% vs. 19.1%, p = 0.41), CMV-related events (50.8% vs. 44.1%, p = 0.20), neither in time to diagnosis (47.0 vs. 47.0 days) among patients conducted by antigenemia vs. RT-PCR, respectively. The length of CMV first treatment was longer with RT-PCR (20.0 vs. 27.5 days, p < 0.001), while the rate of retreatment was not different (14.7% vs. 11.8%, p = 0.48). In the Cox regression, acute rejection within 30 days was associated with an increased the risk (HR = 2.34; 95% CI = 1.12-4.89; p = 0.024), while each increase of 1 mL/min/1.73 m2 of 30-day eGFR was associated with a 2% reduction risk of CMV-disease (HR = 0.98; 95% CI = 0.97-0.99; p = 0.001). In conclusion, acute rejection and glomerular filtration rate are risk factors for CMV disease, showing comparable performance in the impact of CMV-related events between antigenemia and RT-PCR for preemptive treatment.Entities:
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Year: 2022 PMID: 35896770 PMCID: PMC9329426 DOI: 10.1038/s41598-022-16847-3
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Flowchart of the population. The transition period is from March 2017 to February 2018, when the service had adopted both methods for viremia detection. CMV, cytomegalovirus; HLA, human leukocyte antigen; mTOR, mammalian target of rapamycin; RT-PCR, real-time polymerase chain reaction.
Demographic data according to the era: antigenemia and PCR.
| Results | Total | Antigenemia era | PCR era | P-value |
|---|---|---|---|---|
| Recipient age | 49.0 (37.0; 57.0) | 50.0 (39.2; 57.0) | 50.0 (41.0; 60.0) | 0.38 |
| Recipient sex, | 199 (54.8) | 92 (52.0) | 107 (57.5) | 0.29 |
| 0.007 | ||||
| White | 199 (54.8) | 83 (46.9) | 116 (62.4) | |
| Pardo | 177 (32.3) | 71 (40.1) | 46 (24.7) | |
| Afro Brazilian | 40 (11.0) | 21 (11.9) | 19 (10.2) | |
| Other | 7 (1.9) | 2 (1.1) | 5 (2.7) | |
| 0.22 | ||||
| Unknown | 162 (44.6) | 80 (45.2) | 82 (44.1) | |
| Diabetes mellitus | 52 (14.3) | 22 (12.4) | 30 (16.1) | |
| Glomerulonephritis | 47 (12.9) | 18 (10.2) | 29 (15.6) | |
| Hypertension | 29 (8.0) | 18 (10.2) | 11 (5.9) | |
| ADPKD | 23 (6.3) | 10 (5.6) | 13 (7.0) | |
| Other | 50 (13.8) | 29 (16.4) | 21 (11.3) | |
| Time on dialysis, | 42.0 (20.0; 79.0) | 56.0 (31.2; 88.0) | 42.0 (22.0; 88.0) | 0.03 |
| Type of dialysis, | 340 (93.7) | 162 (91.5) | 178 (95.7) | 0.10 |
| Retransplant, N (%) | 46 (12.7) | 24 (13.6) | 22 (11.8) | 0.62 |
| 0.01 | ||||
| 0–29% | 273 (75.2) | 123 (69.5) | 150 (80.6) | |
| 30–80% | 56 (15.4) | 30 (16.9) | 26 (14.0) | |
| > 80% | 34 (9.4) | 24 (13.6) | 10 (5.4) | |
| 0.03 | ||||
| 0–29% | 315 (86.8) | 148 (83.6) | 167 (89.8) | |
| 30–80% | 29 (8.0) | 21 (11.9) | 8 (4.3) | |
| > 80% | 19 (5.2) | 8 (4.5) | 11 (5.9) | |
| Donor type, deceased, N (%) | 349 (96.1) | 170 (96.0) | 179 (96.2) | 0.92 |
| Donor age, years | 52.0 (42.0; 60.0) | 53.0 (42.0; 62.0) | 52.0 (42.0; 58.0) | 0.003 |
| Donor sex, | 192 (52.9) | 85 (48.0) | 107 (57.5) | 0.07 |
| 0.28 | ||||
| White | 189 (52.1) | 93 (52.5) | 96 (51.6) | |
| Pardo | 139 (38.3) | 64 (36.2) | 75 (40.3) | |
| Afro Brazilian | 32 (8.8) | 17 (9.6) | 15 (8.1) | |
| Other | 3 (0.8) | 3 (1.7) | – | |
| Donor CMV-IgG, | 290 (91.8) | 143 (89.9) | 147 (93.6) | 0.23 |
| KDPI (median of %)b | 80.0 (49.5; 91.0) | 82.5 (61.7; 91.7) | 79.0 (54.0; 89.0) | 0.003 |
| Mismatches HLA ABDR | 2,0 (2,0; 3,0) | 2,0 (2,0; 3,0) | 2,0 (1,0; 3,0) | 0.30 |
| CIT, hours | 23.1 (19.4; 28.1) | 24.7 (21.5; 31.2) | 22.0 (18.5; 27.5) | 0.001 |
| DGF, N (%) | 187 (51.5) | 108 (61.0) | 79 (42.5) | < 0.001 |
| 21-day WBC count, cell/mm3 | 7000 (5300; 8600) | 6900 (5250; 8850) | 7050 (5475; 8500) | 0.99 |
ADPKD, autosomal dominant polycystic kidney disease; CIT, cold ischemia time; CKD, chronic kidney disease; DGF, delayed graft function; HLA, human leukocyte antigen; KPDI, kidney profile donor index; PCR, polymerase chain reaction; PRA, panel reactive antibodies.
aMissing data = 47.
bKDPI is applicable only for deceased donors.
Figure 2Levels of tacrolimus according to groups (eras) in the first year of transplantation. The mean of eGFR between eras (antigenemia and RT-PCR) was compared by generalized estimating equation modeling and adjusted by Bonferroni test. Squares and circles in the plot represent mean and bars the 95% confidence interval. PCR, real-time polymerase chain reaction.
Doses of acid mycophenolate over the follow-up.
| Time after transplantation (days) | Antigenemia era (N = 177) | RT-PCR era (N = 186) | p | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mycophenolate dose, N (%) | Mycophenolate dose, N (%) | ||||||||
| 1440 mg | 1080 mg | 720 mg | Withdrawn | 1440 mg | 1080 mg | 720 mg | Withdrawn | ||
| 21 | 148 (83.6) | 2 (1.1) | 25 (14.1) | 2 (1.1) | 163 (87.6) | 3 (1.6) | 15 (8.1) | 5(2.7) | 0.21 |
| 30 | 144 (81.4) | 2 (1.1) | 29 (16.4) | 2 (1.1) | 158 (84.9) | 3 (1.6) | 18 (9.7) | 7 (3.8) | 0.11 |
| 35 | 135 (76.3) | 2 (1.1) | 36 (20.3) | 4(2.3) | 152 (81.7) | 1 (0.5) | 28 (15.1) | 5 (2.7) | 0.53 |
| 42 | 129 (72.9) | 3 (1.7) | 38 (21.5) | 7 (4.0) | 135 (72.6) | 2 (1.1) | 38 (20.4) | 11 (5.9) | 0.80 |
| 49 | 113 (63.8) | 3 (1.7) | 50 (28.2) | 11 (6.2) | 133 (71.5) | 3 (1.6) | 40 (21.5) | 10 (5.4) | 0.48 |
| 60 | 110 (62.1) | 1 (0.6) | 58 (32.8) | 8 (4.5) | 130 (69.9) | 2 (1.1) | 44 (23.7) | 9 (4.8) | 0.31 |
| 75 | 100 (56.5) | 2 (1.1) | 64 (36.2) | 10 (5.6) | 121 (65.1) | 4 (2.2) | 51 (27.4) | 8 (4.3) | 0.36 |
| 90 | 98 (55.4) | 2 (1.1) | 71 (40,1) | 5 (2.8) | 121 (65.1) | 6 (3.2) | 52 (28.0) | 7 (3.8) | 0.06 |
| 180 | 75 (42.4) | 6 (3.4) | 87 (49.2) | 7 (4.0) | 94 (50.5) | 7 (3.8) | 73 (39.2) | 12 (6.5) | 0.15 |
| 270 | 76 (42.9) | 7 (4.0) | 82 (46,3) | 10 (5.6) | 90 (48.4) | 15 (8.1) | 67 (36.0) | 14 (7.5) | 0.08 |
| 365 | 71 (40.1) | 6 (3.4) | 88 (49.7) | 10 (5.6) | 89 (47.8) | 15 (8.1) | 68 (36.6) | 14 (7.5) | 0.02 |
Values expressed in absolute values (%). The missing values are those who used Mycophenolate 360 mg.
Figure 3Primary and secondary outcomes: CMV-related events, CMV disease, acute rejection and graft function. (A) cumulative incidence of the first CMV-related event (infection or disease) according to the era. (B) cumulative incidence of CMV disease according to the era. (C) cumulative incidence of acute rejection according to the era. (D) graft function assessed by estimated glomerular filtration rate according to the era. In the figures (A–C), the P-value was calculated by log-rank. The means of graft function over time and according to era were compared by generalized estimating equation modeling and adjusted by Bonferroni test. Squares and circles in the plot represent mean and bars the 95% confidence interval. RT-PCR, real-time polymerase chain reaction].
Univariable and multivariable analyses for CMV-disease and first CMV-associated event.
| Variables | Univariable | Multivariable | ||||
|---|---|---|---|---|---|---|
| HR | 95% CI | p | HR | 95% CI | p | |
| Era (RT-PCR vs. AgCMV) | 0.83 | 0.53–1.29 | 0.41 | |||
| DM as CKD etiology (yes vs. no) | 0.55 | 0.25–1.20 | 0.13 | |||
| Donor age (each year old) | 1.02 | 1.00–1.03 | 0.05 | |||
| DGF (yes vs. no) | 1.99 | 1.25–3.17 | 0.004 | |||
| 21-day WBC count (per each cell/mm2) | 1.00 | 1.00–1.00 | 0.05 | |||
| AR within 30 days (yes vs. no) | 2.67 | 1.29–5.56 | 0.008 | 2.34 | 1.12–4.89 | 0.024 |
| 30-day eGFR (each 1 mL/min/1.73 m2) | 0.98 | 0.97–0.99 | 0.001 | 0.98 | 0.97–0.99 | 0.001 |
| Era (RT-PCR vs. AgCMV) | 0.82 | 0.61–1.11 | 0.20 | |||
| Recipient age (each year old) | 1.01 | 1.00–1.02 | 0.08 | |||
| Hemodialysis (yes vs. no)a | 0.68 | 0.39–1.18 | 0.17 | |||
| Retransplant (yes vs. no) | 0.62 | 0.37–1.04 | 0.07 | |||
| Donor age (each year old) | 1.01 | 1.00–1.02 | 0.06 | |||
| DGF (yes vs. no) | 1.61 | 1.18–2.18 | 0.002 | |||
| AR within 30 days (yes vs. no) | 2.30 | 1.33–3.98 | 0.003 | 2.05 | 1.18–3.56 | 0.01 |
| 30-day eGFR (each 1 mL/min/1.73 m2) | 0.98 | 0.97–0.99 | < 0.001 | 0.98 | 0.97–0.99 | < 0.001 |
Variables included in the model 1: era (antigenemia or RT-PCR), diabetes as CKD etiology, donor age, DGF, 21-day WBC count, 30-day eGFR and AR within 30 days after transplantation. KDPI was excluded due to collinearity with donor age. The model’s AUC-ROC to predict CMV disease: 0.743 (95% IC 0.681–0.806). Variables included in the model 2: era (antigenemia or RT-PCR), recipient age, hemodialysis as replacement renal therapy before the transplantation, retransplant, donor age, DGF, 30-day eGFR and AR within 30 days after transplantation. Cold ischemia time was excluded due to collinearity with DGF.
The accuracy of the multivariable modeling for predicting CMV-related event was assessed by an AUC-ROC, which achieved a result of 0.792 (95% CI 0.745–0.839). AR, acute rejection; CKD, chronic kidney disease; DGF, delayed graft function; eGFR, estimated glomerular filtration rate; WBC, white blood cells.
aHemodialysis as the renal replacement therapy before transplantation].