| Literature DB >> 33688577 |
Amarpreet K Thind1,2, Hannah Beckwith1, Rakesh Dattani2, Amrita Dhutia2, Sarah Gleeson2, Paul Martin2, Louise Ryan2, Rishana Shuaib2, Shuli Svetitsky2, Frank J M F Dor2,3, Edwina A Brown1,2, Michelle Willicombe1,2.
Abstract
BACKGROUND: The rapidly evolving novel coronavirus 2019 (COVID-19) pandemic bought many kidney transplant (KT) programs to a halt. Integral to resuming KT activity is understanding the perspectives of potential transplant candidates during this highly dynamic time.Entities:
Year: 2021 PMID: 33688577 PMCID: PMC7935425 DOI: 10.1097/TXD.0000000000001126
Source DB: PubMed Journal: Transplant Direct ISSN: 2373-8731
FIGURE 1.Outline of telephone survey. COVID-19, novel coronavirus 2019.
Characteristics of survey responders
| Characteristic | Number (%) | |
|---|---|---|
| Gender | Male | 130 (63) |
| Female | 77 (37) | |
| Age | 17–30 | 9 (4.3) |
| 31–40 | 24 (11.6) | |
| 41–50 | 35 (16.9) | |
| 51–60 | 53 (25.6) | |
| >61 | 86 (41.6) | |
| Ethnicity | White | 54 (26.1) |
| Black | 44 (21.2) | |
| Indo-Asian | 92 (44.4) | |
| Other | 17 (8.2) | |
| RRT modality | In-center hemodialysis | 168 (81.1) |
| Home hemodialysis | 7 (3.4) | |
| Peritoneal dialysis | 32 (15.5) | |
RRT, renal replacement therapy.
FIGURE 2.Patient views on resuming kidney transplantation: consent for reactivation vs provision of consent for transplantation if called. Although the majority of patients, 180 (87%), wanted to be reactivated for transplantation, 39/180 (21.7%) stated they were either unsure or would not consent for a transplant if offered 1 at the time of the survey. Of the 17 (8.2%) of patients who were unsure whether they wanted to be reactivated on the transplant list, 2 (11.8%) would not consent for a transplant.
Clinical characteristics by patient’s attitude to undergoing transplantation
| Variable | WouldconsentN = 141 (%) | UnsureN = 53 (%) | Would not consentN = 13 (%) | ||
|---|---|---|---|---|---|
| Gender | Male | 96 (68.1) | 27 (50.9) | 7 (53.8) | 0.07 |
| Female | 45 (31.9) | 26 (49.1) | 6 (46.2) | ||
| Age | Median (y) | 57 (45–65) | 55 (44–62) | 61 (50–66) | 0.28 |
| Ethnicity | Caucasian | 38 (27) | 12 (22.6) | 4 (30.8) | 0.77 |
| Black, Asian, and minority ethnic | 103 (73) | 41 (77.4) | 9 (69.2) | ||
| Cause of ESKD | APKD | 8 (5.7) | 2 (3.8) | 1 (7.7) | 0.43 |
| Glomerulonephritis | 32 (22.7) | 17 (32) | 6 (46.2) | ||
| Diabetic nephropathy | 42 (29.8) | 15 (28.3) | 0 | ||
| Urological | 8 (5.7) | 3 (5.7) | 0 | ||
| Unknown | 36 (25.5) | 9 (17) | 4 (30.8) | ||
| Other | 15 (10.6) | 7 (13.2) | 2 (15.3) | ||
| In-center dialysis | Yes | 114 (80.9) | 42 (79.2) | 12 (92.3) | 0.55 |
| No | 27 (19.1) | 11 (20.8) | 1 (7.7) | ||
| Peritoneal dialysis | 22 (15.6) | 10 (18.9) | 0 | ||
| Home hemodialysis | 5 (3.5) | 1 (1.9) | 1 (7.7) | ||
| Time on waitlist | Median (d) | 823 (514–1338) | 892 (650–1339) | 837 (563–2080) | 0.46 |
| Receiving Immunosuppression | Yes | 32 (22.7) | 8 (15.1) | 3 (23.1) | 0.50 |
| No | 109 (77.3) | 45 (84.9) | 10 (76.9) | ||
| Diabetes | Yes | 56 (39.7) | 21 (39.6) | 2 (15.4) | 0.22 |
| No | 85 (60.3) | 32 (60.4) | 11 (84.6) | ||
| Ischemic heart disease | Yes | 33 (23.4) | 10 (18.9) | 4 (30.8) | 0.62 |
| No | 108 (76.6) | 43 (81.1) | 9 (69.2) | ||
| Hypertension | Yes | 114 (80.9) | 43 (81.1) | 7 (53.8) | 0.07 |
| No | 27 (19.1) | 10 (18.9) | 6 (46.2) | ||
| Previous transplant | Yes | 37 (26.2) | 10 (18.9) | 5 (38.5) | 0.30 |
| No | 104 (73.8) | 43 (81.1) | 8 (61.4) | ||
APKD, adult polycstic kidney disease; ESKD, end-stage kidney disease.
Social variables by patient’s attitude to undergoing transplantation
| Variable | WouldconsentN = 141 (%) | UnsureN = 53 (%) | Would not consentN = 13 (%) | ||
|---|---|---|---|---|---|
| Had COVID | Yes | 28 (19.9) | 6 (11.3) | 2 (15.4) | 0.37 |
| No | 113 (80.1) | 47 (88.7) | 11 (84.6) | ||
| Lives Alone | Yes | 27 (19.1) | 14 (26.4) | 1 (7.7) | 0.27 |
| No | 114 (80.9) | 39 (73.6) | 12 (92.3) | ||
| Lives with children ≤16 y | Yes | 37 (32.5) | 6 (15.4) | 0 | 0.01 |
| No | 77 (67.5) | 33 (84.6) | 12 (100) | ||
| Household contact with COVID | Yes | 5 (4.4) | 2 (5.1) | 2 (16.7) | 0.20 |
| No | 109 (95.6) | 37 (94.9) | 10 (83.3) | ||
| Employment prelockdown | Yes | 50 (35.5) | 22 (41.5) | 3 (23.1) | 0.44 |
| No | 91 (64.5) | 31 (58.5) | 10 (76.9) | ||
| Type of employment | Not working | 90 (63.8) | 31 (58.5) | 10 (76.9) | 0.22 |
| Business/IT | 21 (14.9) | 9 (17) | 0 | ||
| Education | 3 (2.1) | 3 (5.7) | 1 (7.7) | ||
| Healthcare | 4 (2.8) | 1 (1.9) | 2 (15.4) | ||
| Not defined | 3 (2.1) | 1 (1.9) | 0 | ||
| Service/hospitality | 20 (14.3) | 8 (15) | 0 | ||
| Travel to in center | Own transport | 64 (56.1) | 27 (64.3) | 6 (50) | 0.37 |
| Hemodialysis | Public transport | 10 (8.8) | 4 (9.5) | 3 (25) | |
| Hospital transport | 38 (33.3) | 9 (21.4) | 3 (25) | ||
| Combined transport (public and hospital) | 2 (1.8) | 2 (4.8) | |||
COVID, novel coronavirus.