| Literature DB >> 36060621 |
Arnaud Devresse1, Sébastien Briol1, Julien De Greef2,3, Florian Lemaitre4,5,6,7, Lidvine Boland3,7, Vincent Haufroid3,7, Anais Scohy8, Benoit Kabamba8, Jean Cyr Yombi2, Leila Belkhir2,7, Tom Darius9, Antoine Buemi9, Kristell De Potter10, Rebecca Mantegazza10, Bertrand Bearzatto10,11, Eric Goffin1, Nada Kanaan1.
Abstract
Introduction: Nirmatrelvir-ritonavir (NR) has demonstrated its efficacy to decrease the risk of progression to severe COVID-19 in high-risk patients. However, evidence in infected kidney transplant recipients (KTRs) is lacking. Moreover, NR has significant and potentially harmful interactions with calcineurin inhibitors (CNIs).Entities:
Keywords: SARS-CoV-2; efficacy; kidney transplantation; nirmatrelvir-ritonavir; relapse; safety
Year: 2022 PMID: 36060621 PMCID: PMC9420244 DOI: 10.1016/j.ekir.2022.08.026
Source DB: PubMed Journal: Kidney Int Rep ISSN: 2468-0249
Figure 1Protocol of calcineurin inhibitors and mechanistic target of rapamycine inhibitors dose adpatation during nirmatrelvir-ritonavir treatment.
Baseline characteristics at SARS-CoV-2 infection of the cohort
| Variable | Population |
|---|---|
| Age, years, median (ranges) | 60 (33–79) |
| Male, | 9 (64) |
| Time since transplantation, months (ranges) | 116 (10–332) |
| Treated hypertension, | 10 (71) |
| Treated diabetes, | 3 (21) |
| Overweight-obesity, | 8 (57) |
| Treated dyslipidemia, | 11 (79) |
| Prior anti-SARS-CoV-2 vaccine, | |
| 4 doses | 10 (71) |
| 3 doses | 3 (21) |
| 0 dose | 1 (8) |
| Anti-RBD antibody level prior infection, | |
| >250 BAU/ml | 8 (57) |
| 0-250 BAU/ml | 2 (14) |
| 0 | 4 (29) |
| Prior COVID-19 infection, | 0 |
| CYP3A5 genotype, | |
| 3∗/3∗ | 8 (57) |
| 1∗/3∗ | 2 (14) |
| CYP3A4 genotype, | |
| 1∗/1∗ | 7 (50) |
| Immunosuppression at admission, | |
| Immediate release tacrolimus | 1 (7) |
| Slow-release tacrolimus | 11 (79) |
| Mycophenolate mofetil | 11 (79) |
| Cyclosporine | 2 (14) |
| Azathioprine | 1 (7) |
| Steroids | 14 (100) |
| Nirmatrelvir-ritonavir dose, | |
| 300/100 mg | 5 (36) |
| 150/100 | 9 (64) |
CYP, cytochrome P450; RBD, receptor-binding domain.
Baseline and relapse nextstrain clade, pangolin sublineage assignment and GISAID submission references
| Day 0 | Relapse | |||||
|---|---|---|---|---|---|---|
| Patients | Nextclade | Pangolin | GISAID | Nextclade | Pangolin | GISAID |
| Patient 1 | 21L | BA.2.3 | EPI_ISL_12587374 | 21L | BA.2.3 | EPI_ISL_13017215 |
| Patient 2 | 21L | BA.2 | EPI_ISL_12587390 | |||
| Patient 3 | 21L | BA.2 | EPI_ISL_12660432 | |||
| Patient 4 | 21L | BA.2.9 | EPI_ISL_13017301 | 21L | BA.2.9 | EPI_ISL_13017221 |
| Patient 5 | 21L | BA.2 | EPI_ISL_13017302 | |||
| Patient 6 | 21L | BA.2 | EPI_ISL_13017212 | |||
| Patient 7 | 21L | BA.2.9 | EPI_ISL_13017210 | |||
| Patient 8 | NA | NA | NA | |||
| Patient 9 | 21L | BA.2.36 | EPI_ISL_13204423 | |||
| Patient 10 | 21L | BA.2 | EPI_ISL_13204424 | |||
| Patient 11 | 21L | BA.2 | EPI_ISL_13204422 | |||
| Patient 12 | 21L | BA.2 | EPI_ISL_13424237 | |||
| Patient 13 | 21L | BA.2 | EPI_ISL_13424225 | |||
| Patient 14 | 22C | BA.2.12.1 | EPI_ISL_13424238 | |||
GISAID, Global Initiative on Sharing Avian Influenza Data; NA, not available
Figure 2Comparison of plasma creatinine concentrations before (day 0) and 7 days after (day 7) nirmatrelvir-ritonavir initation. Day 0 and day 7 plasma creatinine concentrations were comparable (1.43 [1–2.23] mg/dl vs 1.45 [0.9–2.81] mg/dl, P = 0.866, paired-samples t test). Means ± SDs of plasma creatinine values are represented.
Figure 3Evolution of SARS-CoV-2 viral load values. Comparison before (day 0) and 7 days after (day 7) nirmatrelvir-ritonavir initation. Compared with day 0, median SARS-CoV-2 viral load assessed at day 7 dramatically dropped (23,137,655 copies/ml vs. 1746 copies/ml, Wilcoxon Signed rank test; P = 0.002). Medians and IQRs of SARS-CoV-2 viral loads are represented. IQR, interquartile range.
Figure 4Evolution of tacrolimus trough concentrations (Ctrough) during and after nirmatrelvir-ritonavir administration. A total of 10 patients received nirmatrelvir-ritonavir 12 hours after the last dose of tacrolimus for a period of 5 days (D1–D5). Tacrolimus was restarted at the initial dose on D7. Tacrolimus Ctrough increased >10 ng/ml for 3 patients (#2, 3, and 6), so the dosage was adjusted after D9 for these patients. #, number; D, day.
Figure 5Evolution of cyclosporine trough concentrations (Ctrough) during and after nirmatrelvir-ritonavir administration. Cyclosporine was administered to 2 patients at 20% of the usual daily dosage during nirmatrelvir-ritonavir treatment (D1–D5) and then gradually increased from D6 to D8 (D6 : 50%, D7 : 75%, D8 : 100% of the initial dose). Cyclosporine Ctrough remained stable during nirmatrelvir-ritonavir administration. On D7, the patient 9’s cyclosporine trough level rose >350 ng/ml, warranting a subsequent dose reduction. D, day.
Figure 6Individual evolution overtime of SARS-CoV-2 viral loads. Early relapses of COVID-19 symptoms occurred in 2 patients (patient 1 and 4) together with a relapse in viral load. SARS-CoV-2 viral load data were not available for one patient (patient 8).