| Literature DB >> 32980942 |
Olga Charnaya1, Teresa Po-Yu Chiang2, Richard Wang3, Jennifer D Motter2, Brian J Boyarsky2, Elizabeth A King2, William A Werbel3, Christine M Durand3, Robin K Avery3, Dorry L Segev2,4,5, Allan B Massie2,4, Jacqueline M Garonzik-Wang2.
Abstract
BACKGROUND: In March 2020, COVID-19 infections began to rise exponentially in the USA, placing substantial burden on the healthcare system. As a result, there was a rapid change in transplant practices and policies, with cessation of most procedures. Our goal was to understand changes to pediatric kidney transplantation (KT) at the national level during the COVID-19 epidemic.Entities:
Keywords: Donation; Infectious agents-viral; Kidney transplantation; Pediatrics; Registry analysis
Mesh:
Year: 2020 PMID: 32980942 PMCID: PMC7519856 DOI: 10.1007/s00467-020-04764-4
Source DB: PubMed Journal: Pediatr Nephrol ISSN: 0931-041X Impact factor: 3.714
Patient and donor characteristics broken down by three time periods of COVID-19 activity in 2020
| Early Jan 1–Mar 15 | Middle Mar 15–Apr 30 | Late May 1–Jun 30 | ||
|---|---|---|---|---|
| 122 | 36 | 121 | ||
| Recipient factors | ||||
| Wait time (IQR) | 202.5 (81, 618) | 201.5 (42.5, 547) | 227 (92, 495) | 0.87 |
| Female Sex | 59 (48.4%) | 14 (38.9%) | 56 (46.3%) | 0.61 |
| Race | 0.28 | |||
| White | 95 (77.9%) | 21 (58.3%) | 86 (71.1%) | |
| Black | 16 (13.1%) | 11 (30.6%) | 25 (20.7%) | |
| Asian | 7 (5.7%) | 3 (8.3%) | 8 (6.6%) | |
| Others | 4 (3.3%) | 1 (2.8%) | 2 (1.7%) | |
| ABO Blood Type | 0.94 | |||
| Type O | 70 (57.4%) | 21 (58.3%) | 71 (58.7%) | |
| Type A | 30 (24.6%) | 10 (27.8%) | 34 (28.1%) | |
| Type B | 16 (13.1%) | 4 (11.1%) | 13 (10.7%) | |
| Type AB | 6 (4.9%) | 1 (2.8%) | 3 (2.5%) | |
| Primary diagnosis | 0.065 | |||
| Glomerulonephritis | 21 (17.2%) | 2 (5.6%) | 17 (14.0%) | |
| FSGS | 15 (12.3%) | 5 (13.9%) | 15 (12.4%) | |
| Hypoplasia | 32 (26.2%) | 7 (19.4%) | 14 (11.6%) | |
| Obstructive | 19 (15.6%) | 8 (22.2%) | 19 (15.7%) | |
| Polycystic | 9 (7.4%) | 2 (5.6%) | 18 (14.9%) | |
| Others | 26 (21.3%) | 12 (33.3%) | 38 (31.4%) | |
| cPRA, mean (SD) | 12% (24) | 9% (26) | 7% (20) | 0.29 |
| cPRA ≠ 0, median (IQR) | 44% (5, 64) ( | 61% (5, 99) ( | 11% (0, 52) ( | 0.087 |
| cPRA ≥ 0.2 | 23 (18.9%) | 4 (11.1%) | 15 (12.4%) | 0.33 |
| Donor factors | ||||
| Age (year), median (IQR) | 28 (20, 34) | 25.50 (21.50, 32) | 28 (22, 35) | 0.68 |
| Female gender | 52 (42.6%) | 16 (44.4%) | 51 (42.1%) | 0.97 |
| Living donor | 36 (29.5%) | 5 (13.9%) | 44 (36.4%) | 0.035* |
| Race | 0.55 | |||
| White | 103 (84.4%) | 29 (80.6%) | 102 (84.3%) | |
| Black | 13 (10.7%) | 3 (8.3%) | 15 (12.4%) | |
| Asian | 3 (2.5%) | 3 (8.3%) | 3 (2.5%) | |
| Other race | 3 (2.5%) | 1 (2.8%) | 1 (0.8%) | |
| KDPI | n = 31 | |||
| Median (IQR) | 13.73 (7.65, 26.72) | 14.57 (5.93, 28.99) | 17.56 (9.71, 28.34) | 0.46 |
| Mean (SD) | 17.30 (13.46) | 17.38 (12.63) | 19.21 (12.18) | 0.61 |
| Cold ischemic time (hours), median (IQR) | 9.0 (4.0, 13.2) ( | 10.2 (6.5, 17.5) ( | 7.6 (2.4, 10.7) ( | 0.021* |
IQR interquartile range, FSGS focal segmental glomerulosclerosis, cPRA calculated panel-reactive antibody, SD standard deviation, KDPI kidney donor profile index
*p < 0.05
Fig. 1Pediatric patient deceased donor KT waitlist status change; a new waitlist additions, b removal due to death or deteriorating condition, c changed to inactive status, d percentage inactive
Fig. 2Pediatric transplant events cumulatively by week starting Feb 2, 2020; a DDKT, b LDKT, c Regional and National imports
Observed compared to expected events in early and later COVID-19 eras of waitlist changes and transplant events
| Waitlist changes (pediatric age at listing) | March 15–April 30, 2020 | May 1–June 30, 2020 | Total | ||||||||||
| Observed | Expected | % change | Observed | Expected | % change | Observed | Expected | % change | |||||
| New listing | 132 | 131.5 | 0.4 | 0.967 | 130 | 170.7 | − 23.8 | 0.002 | 262 | 302.2 | − 13.3 | 0.021 | |
| Causes of removal | Death | 6 | 2.1 | 189.0 | 0.006 | 3 | 2.7 | 11.3 | 0.852 | 9 | 4.8 | 88.7 | 0.053 |
| DDKT | 42 | 64.5 | − 34.9 | 0.005 | 93 | 83.7 | 11.1 | 0.309 | 135 | 148.2 | − 8.9 | 0.279 | |
| LDKT | 5 | 27.8 | − 82.0 | < 0.01 | 44 | 36.1 | 21.9 | 0.188 | 49 | 63.9 | − 23.3 | 0.062 | |
| Changed to inactive status | 83 | 32.9 | 152.0 | < 0.01 | 38 | 42.7 | − 11.1 | 0.468 | 119 | 75.7 | 57.2 | < 0.01 | |
| Transplant (pediatric age at transplant) | March 15–April 30, 2020 | May 1–June 30, 2020 | Total | ||||||||||
| Observed | Expected | % change | Observed | Expected | % change | Observed | Expected | % change | |||||
| Total transplant | 36 | 88.5 | − 59.3 | < 0.01 | 121 | 114.8 | 5.4 | 0.566 | 157 | 203.3 | − 22.8 | 0.001 | |
| LDKT | 5 | 27.9 | − 82.1 | < 0.01 | 44 | 36.3 | 21.3 | 0.199 | 49 | 64.2 | − 23.7 | 0.058 | |
| DDKT | 31 | 59.1 | − 47.6 | < 0.01 | 77 | 76.8 | 0.3 | 1.000 | 108 | 135.9 | − 20.5 | 0.017 | |
| DCD | 1 | 3.2 | − 68.4 | 0.224 | 5 | 4.1 | 21.6 | 0.663 | 6 | 7.3 | − 17.6 | 0.632 | |
| Regional or national import | 7 | 3.7 | 90.7 | 0.082 | 4 | 4.8 | − 16.1 | 0.729 | 11 | 8.4 | 30.4 | 0.377 | |
DDKT Deceased donor kidney transplant, LDKT living donor kidney transplant, DCD donation after circulatory death
Observed center-level events as a proportion of expected events, March 15–June 30, 2020
| COVID-19 rates | New listings | DDKT | LDKT | Waitlist death |
|---|---|---|---|---|
| Overall | 0.77 0.87 0.98 | 0.66 0.79 0.96 | 0.58 0.76 1.01 | 0.98 1.89 3.63 |
| Low | 0.82 0.94 1.08 | 0.66 0.81 1.00 | 0.66 0.89 1.20 | 0.84 1.87 4.16 |
| High* | 0.48 0.73 1.12 | 0.62 1.92 5.96 |
Italics denotes IRRs that are statistically significantly different from the IRR in states with low COVID-19 disease burden (< 8000 cases PMP)
*States with high COVID-19 burden: NY, NJ, RI, MA, DC, CT, LA, DE, IL, MD, AZ, NE, IA, NS