| Literature DB >> 35501173 |
Agnieszka Malinowska1, Zbigniew Heleniak1, Marta Muchlado1, Zuzanna Ślizień1, Jakub Ruszkowski1, Bogdan Biedunkiewicz1, Leszek Tylicki1, Ewa Król2, Alicja Dębska-Ślizień1.
Abstract
BACKGROUND: Kidney transplant recipients (KTRs) are at an increased risk of infection with severe acute respiratory syndrome coronavirus 2, with mortality from 13% to over 30%. However, data concerning the influence of COVID-19 on long-term graft function in convalescents is lacking. The aim of this study was to evaluate the influence of COVID-19 on graft function at 6 months after recovery.Entities:
Mesh:
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Year: 2022 PMID: 35501173 PMCID: PMC8923994 DOI: 10.1016/j.transproceed.2022.03.003
Source DB: PubMed Journal: Transplant Proc ISSN: 0041-1345 Impact factor: 1.014
Fig 1Flowchart of patient recruitment to the study. KTR, kidney transplant recipient.
Characteristics of the Study Population
| Characteristics | COVID-19 | Control |
|---|---|---|
| 77 | 71 | |
| Age, years, mean ± SD | 50.57 ± 13.37 | 51.03 ± 14.61 |
| Male sex, | 45 (58.44) | 37 (52.11) |
| Primary nephropathy, | ||
| Glomerulonephritis | 25 (32.9) | 19 (33.3) |
| Pyelonephritis | 2 (2.6) | 1 (1.8) |
| Interstitial nephritis | 3 (4.0) | 2 (3.5) |
| Congenital kidney disease | 4 (5.3) | 4 (7.0) |
| Diabetic nephropathy | 2 (2.6) | 2 (3.5) |
| Hereditary nephropathies | 13 (17.1) | 6 (10.5) |
| Other or unknown | 27 (35.5) | 23 (40.4) |
| No data | 1 | 14 |
| Transplantation vintage, months, median (IQR) | 60 (13-110) | 72 (34-138) |
| Donor | ||
| Living, | 7 (9.1) | 7 (10.8) |
| Deceased, | 70 (90.9) | 58 (89.2) |
| No data, | 0 | 6 |
| Immunosuppression protocol, | ||
| TAC ± MMF/MPS ± steroids | 45 (58.4) | 44 (62.0) |
| CYS ± MMF/MPS ± steroids | 17 (22.1) | 17 (23.9) |
| Protocol without steroids | 3 (3.9) | 1 (1.4) |
| Protocol without MMF/MPS | 11 (14.3) | 8 (11.2) |
| Other | 1 (1.3) | 1 (1.4) |
| Baseline proteinuria, | 8 (10.4) | 14 (19.7) |
| No data, | 3 | 0 |
| Follow-up proteinuria, | 9 (11.7) | 16 (22.5) |
| No data, | 3 | 2 |
| Baseline FS, | ||
| =3 | 65 (84.42) | 49 (69.01) |
| ≥3 | 12 (15.58) | 22 (30.99) |
| Follow-up FS, | ||
| =3 | 57 (74.03) | 48 (67.61) |
| ≥3 | 20 (25.97) | 23 (32.39) |
| Baseline CCI, | ||
| ≤3 | 19 (24.68) | 22 (30.99) |
| ≥3 | 58 (75.33) | 49 (69.01) |
| Follow-up CCI, | ||
| ≤3 | 19 (24.68) | 22 (30.99) |
| ≥3 | 58 (75.33) | 49 (69.01) |
CCI, Charlson Comorbidity Index; CYS, cyclosporine; FS, Clinical Frailty Score; IQR, interquartile range; MMF/MPS, mycophenolate mofetil or mycophenolate sodium; TAC, tacrolimus; SD, standard deviation.
Creatinine Levels in the Group of Convalescents and Control Before COVID-19 and 6 Months After Infection
| COVID-19 | Control | |||||
|---|---|---|---|---|---|---|
| Baseline | Follow-Up | Baseline | Follow-Up | |||
| Creatinine | ||||||
| Median (IQR) | 1.25 (0.98-1.86) | 1.26 (1.03-1.78) | .17 | 1.28 (1.05-1.67) | 1.29 (1.05-1.72) | .73 |
| eGFR CKD-EPI | ||||||
| Median (IQR) | 61 (37-77) | 58 (40-76) | .51 | 57 (40-72) | 57 (39-68) | .54 |
| CCI | ||||||
| Median (IQR) | 3 (3-5) | 3 (3-5) | 3 (2-6) | 3 (2-6) | ||
| FS | ||||||
| Median (IQR) | 3 (3-3) | 3 (3-4) | 3 (3-4) | 3 (3-4) | ||
| Creatinine | Median (IQR) | Creatinine | Median (IQR) | |||
| FS | ||||||
| =3 | 1.25 (0.98-1.78) | 1.26 (1.03-1.78) | .35 | 1.24 (1.05-1.56) | 1.27 (1.08-1.65) | .74 |
| >3 | 1.24 (0.98-1.94) | 1.22 (1.04-2.16) | .19 | 1.48 (0.94-2.08) | 1.36 (1.05-2.15) | .19 |
| CCI | ||||||
| <3 | 1.37 (1.09-1.95) | 1.54 (1.08-1.83) | .60 | 1.41 (1.10-1.65) | 1.45 (1.14-1.70) | .27 |
| ≥3 | 1.20 (0.92-1.78) | 1.22 (1.00-1.78) | .19 | 1.24 (1.04-1.67) | 1.25 (1.01-1.72) | .75 |
CCI, Charlson Comorbidity Index; eGFR CKD-EPI, estimated glomerular filtration rate according to Chronic Kidney Disease Epidemiology Collaboration equation formula; FS, Clinical Frailty Score; IQR, interquartile range.