| Literature DB >> 33344762 |
Pranab M Barman1, Lindsay Y King2, Carl L Berg2, Alice Parish3, Donna Niedzwiecki3, Andrew S Barbas4, Lisa McElroy4, Yuval A Patel2.
Abstract
BACKGROUND: Midodrine is often needed pretransplant to improve hemodynamics in simultaneous liver-kidney transplant candidates. Previous research has shown that patients requiring midodrine before kidney transplant alone have increased posttransplant risk for delayed allograft function, graft failure, and death. However, the impact of pretransplant midodrine use on outcomes after simultaneous liver-kidney transplant is unknown.Entities:
Year: 2020 PMID: 33344762 PMCID: PMC7738159 DOI: 10.1097/TXD.0000000000001071
Source DB: PubMed Journal: Transplant Direct ISSN: 2373-8731
Recipient patient characteristics by recipient midodrine use
| Recipient characteristics by midodrine groups | ||||
|---|---|---|---|---|
| None(N = 43) | Midodrine(N = 17) | Total(N = 60) | ||
| 0.001a | ||||
| Mean (SD) | 52.6 (10.3) | 61.5 (5.5) | 55.2 (10.0) | |
| Median | 54.0 | 62.0 | 58.0 | |
| Q1, Q3 | 44.0, 61.0 | 59.0, 66.0 | 49.5, 63.0 | |
| 0.346b | ||||
| Female | 14 (32.6%) | 3 (17.6%) | 17 (28.3%) | |
| Male | 29 (67.4%) | 14 (82.4%) | 43 (71.7%) | |
| 0.024b | ||||
| White | 26 (60.5%) | 15 (88.2%) | 41 (68.3%) | |
| Black | 16 (37.2%) | 1 (5.9%) | 17 (28.3%) | |
| Other | 1 (2.3%) | 1 (5.9%) | 2 (3.3%) | |
| 0.358a | ||||
| Mean (SD) | 28.1 (5.5) | 29.6 (6.3) | 28.6 (5.8) | |
| Median | 27.4 | 27.9 | 27.5 | |
| Q1, Q3 | 24.8, 32.9 | 26.3, 33.5 | 25.1, 32.9 | |
| – | ||||
| AIH | 0 (0.0%) | 1 (5.9%) | 1 (1.7%) | |
| ALD | 3 (7.0%) | 8 (47.1%) | 11 (18.3%) | |
| HBV | 0 (0.0%) | 1 (5.9%) | 1 (1.7%) | |
| HCV | 14 (32.6%) | 0 (0.0%) | 14 (23.3%) | |
| HCV/ALD | 4 (9.3%) | 0 (0.0%) | 4 (6.7%) | |
| NASH | 6 (14.0%) | 7 (41.2%) | 13 (21.7%) | |
| PBC | 2 (4.7%) | 0 (0.0%) | 2 (3.3%) | |
| PSC | 2 (4.7%) | 0 (0.0%) | 2 (3.3%) | |
| Other | 12 (27.9%) | 0 (0.0%) | 12 (20.0%) | |
| – | ||||
| DM (type 1 and 2) | 10 (23.3%) | 3 (17.6%) | 13 (21.7%) | |
| CNI toxicity | 3 (7.0%) | 0 (0.0%) | 3 (5.0%) | |
| HRS | 9 (20.9%) | 11 (64.7%) | 20 (33.3%) | |
| HTN | 7 (16.3%) | 0 (0.0%) | 7 (11.7%) | |
| Other/missing | 14 (32.6%) | 3 (17.6%) | 17 (28.3%) | |
| HTN | 29 (67.4%) | 7 (41.2%) | 36 (60.0%) | 0.082b |
| DM | 21 (48.8%) | 8 (47.1%) | 29 (48.3%) | 1.000b |
| CAD | 4 (9.3%) | 2 (11.8%) | 6 (10.0%) | 1.000b |
| CKD | 39 (90.7%) | 14 (82.4%) | 53 (88.3%) | 0.393b |
| HRS | 15 (34.9%) | 11 (64.7%) | 26 (43.3%) | 0.046b |
| Hemodialysis at listing | 24 (55.8%) | 11 (64.7%) | 35 (58.3%) | 0.575b |
| 0.007a | ||||
| N | 34 | 17 | 51 | |
| Mean (SD) | 133.1 (28.4) | 109.6 (19.8) | 125.3 (28.0) | |
| Median | 127.5 | 105.0 | 125.0 | |
| Q1, Q3 | 113.0, 151.0 | 100.0, 127.0 | 104.0, 144.0 | |
| 0.027a | ||||
| N | 34 | 17 | 51 | |
| Mean (SD) | 70.4 (14.7) | 60.6 (11.1) | 67.2 (14.3) | |
| Median | 71.0 | 63.0 | 67.0 | |
| Q1, Q3 | 59.0, 81.0 | 54.0, 68.0 | 56.0, 76.0 | |
| 0.168b | ||||
| None | 8 (19.0%) | 1 (5.9%) | 9 (15.3%) | |
| Mild | 12 (28.6%) | 2 (11.8%) | 14 (23.7%) | |
| Moderate | 11 (26.2%) | 5 (29.4%) | 16 (27.1%) | |
| Severe | 11 (26.2%) | 9 (52.9%) | 20 (33.9%) | |
| Missing | 1 | 0 | 1 | |
| 24 (55.8%) | 15 (88.2%) | 39 (65.0%) | 0.019b | |
| 16 (37.2%) | 8 (47.1%) | 24 (40.0%) | 0.564 | |
| 0.002 | ||||
| Mean (SD) | 25.1 (6.9) | 30.1 (5.2) | 26.5 (6.8) | |
| Median | 23.0 | 29.0 | 25.0 | |
| Q1, Q3 | 20.0, 30.0 | 27.0, 33.0 | 21.0, 30.5 | |
| 0.003 | ||||
| Mean (SD) | 25.8 (6.7) | 31.3 (6.2) | 27.3 (7.0) | |
| Median | 23.0 | 31.0 | 26.0 | |
| Q1, Q3 | 21.0, 30.0 | 28.0, 34.0 | 22.0, 31.5 | |
| 0.073 | ||||
| Ambulatory | 36 (83.7%) | 9 (56.3%) | 45 (76.3%) | |
| Hospitalized—floor | 4 (9.3%) | 4 (25.0%) | 8 (13.6%) | |
| Hospitalized—ICU | 3 (7.0%) | 3 (18.8%) | 6 (10.2%) | |
| Missing | 0 | 1 | 1 | |
| 0.816 | ||||
| N | 28 | 15 | 43 | |
| Mean (SD) | 3.4 (7.0) | 1.6 (3.0) | 2.8 (6.0) | |
| Median | 0.0 | 0.0 | 0.0 | |
| Q1, Q3 | 0.0, 3.5 | 0.0, 3.0 | 0.0, 3.0 | |
| 0.639 | ||||
| Cyclosporine | 1 (2.3%) | 1 (5.9%) | 2 (3.3%) | |
| Rappmune | 1 (2.3%) | 0 (0.0%) | 1 (1.7%) | |
| Tacrolimus | 41 (95.3%) | 16 (94.1%) | 57 (95.0%) | |
| 0.006 | ||||
| Basiliximab | 11 (26.2%) | 1 (5.9%) | 12 (20.3%) | |
| Dacluzimab | 8 (19.0%) | 0 (0.0%) | 8 (13.6%) | |
| Thymoglobulin | 4 (9.5%) | 0 (0.0%) | 4 (6.8%) | |
| None | 19 (45.2%) | 16 (94.1%) | 35 (59.3%) | |
| Missing | 1 | 0 | 1 | |
Wilcoxon test.
Fisher Exact test.
AIH, autoimmune hepatitis; ALD, alcohol liver disease; BMI, body mass index; CAD, coronary artery disease; CKD, chronic kidney disease; CNI, calcineurin inhibitor; DBP, diastolic blood pressure; DM, diabetes mellitus; HBV, hepatitis B virus infection; HCV, hepatitis C virus infection; HRS, hepatorenal syndrome; HTN, hypertension; ICU, intensive care unit; MELD-Na, model for end-stage liver disease-sodium; NASH, nonalcoholic steatohepatitis; PBC, primary biliary cholangitis; PRA, panel-reactive antibody; PSC, primary sclerosing cholangitis; SBP, spontaneous bacterial peritonitis.
Description of midodrine use
| Midodrine use | |
|---|---|
| Total ( | |
| Mean (SD) | 111.4 (95.0) |
| Median | 91.0 |
| Q1, Q3 | 22.0, 181.0 |
| <1 mo | 5 (29.4%) |
| 1–3 mo | 3 (17.6%) |
| >3 mo | 9 (52.9%) |
| Mean (SD) | 32.4 (17.1) |
| Median | 30.0 |
| Q1, Q3 | 15.0, 45.0 |
| <10 mg/d | 1 (5.9%) |
| 10–30 mg/d | 9 (52.9%) |
| >30 mg/d | 7 (41.2%) |
Donor and operative characteristics by recipient midodrine use
| Donor and operative characteristics by midodrine groups | ||||
|---|---|---|---|---|
| None(N = 43) | Midodrine(N = 17) | Total(N = 60) | ||
| 0.989 | ||||
| N | 27 | 17 | 44 | |
| Mean (SD) | 33.6 (13.6) | 33.6 (11.6) | 33.6 (12.7) | |
| Median | 35.0 | 28.0 | 33.5 | |
| Q1, Q3 | 22.0, 44.0 | 24.0, 45.0 | 23.0, 44.5 | |
| 0.521 | ||||
| Female | 7 (25.9%) | 6 (35.3%) | 13 (29.5%) | |
| Male | 20 (74.1%) | 11 (64.7%) | 31 (70.5%) | |
| Missing | 16 | 0 | 16 | |
| 1.000 | ||||
| DBD | 42 (97.7%) | 17 (100.0%) | 59 (98.3%) | |
| DCD | 1 (2.3%) | 0 (0.0%) | 1 (1.7%) | |
| 0.954 | ||||
| Anoxia | 11 (40.7%) | 8 (47.1%) | 19 (43.2%) | |
| Cerebrovascular/stroke | 8 (29.6%) | 4 (23.5%) | 12 (27.3%) | |
| Head trauma | 7 (25.9%) | 5 (29.4%) | 12 (27.3%) | |
| Other | 1 (3.7%) | 0 (0.0%) | 1 (2.3%) | |
| Missing | 16 | 0 | 16 | |
| 0.097 | ||||
| N | 29 | 16 | 45 | |
| Mean (SD) | 485 (240) | 406 (264) | 457 (249) | |
| Median | 480 | 329 | 379 | |
| Q1, Q3 | 307, 623 | 265, 463 | 287, 588 | |
| 0.694 | ||||
| N | 29 | 17 | 46 | |
| Mean (SD) | 33.4 (7.6) | 34.4 (9.3) | 33.8 (8.2) | |
| Median | 33.0 | 35.0 | 34.0 | |
| Q1, Q3 | 27.0, 40.0 | 27.0, 41.0 | 27.0, 40.0 | |
| 0.764 | ||||
| N | 26 | 17 | 43 | |
| Mean (SD) | 36.5 (22.6) | 38.5 (18.5) | 37.3 (20.9) | |
| Median | 36.5 | 41.0 | 38.0 | |
| Q1, Q3 | 21.0, 47.0 | 23.0, 49.0 | 21.0, 47.0 | |
Equal variance t test.
Fisher Exact test.
Wilcoxon test.
CIT, cold ischemia time; COD, cause of death; DBD, donation after brain death; DCD, donation after circulatory death; KDPI, kidney donor profile index; WIT, warm ischemia time.
Outcomes by midodrine use
| Outcomes by midodrine groups | ||||
|---|---|---|---|---|
| None(N = 43) | Midodrine(N = 17) | Total(N = 60) | ||
| N | ||||
| Median (Q1, Q3) | ||||
| At discharge | 3651.7 (44.2, 83.3) | 1476.5 (49.1, 105.8) | 5057.1 (46.2, 85.5) | 0.115 |
| Year 1 | 3460.5 (57.0, 74.0) | 957.0 (46.0, 61.0) | 4360.0 (54.0, 74.0) | 0.193 |
| Year 2 | 3160.0 (52.0, 75.0) | 556.0 (54.0, 60.0) | 3660.0 (53.0, 73.5) | – |
| Year 3 | 2660.0 (51.0, 75.0) | 354.0 (38.1, 56.0) | 2959.0 (51.0, 75.0) | – |
| Year 5 | 1755.0 (47.0, 71.0) | 161.0 | 1856.5 (47.0, 71.0) | – |
| 0.305 | ||||
| Mean (SD) | 20.2 (24.4) | 26.7 (28.0) | 22.0 (25.4) | |
| Median | 13.0 | 14.0 | 13.0 | |
| Q1, Q3 | 9.0, 20.0 | 10.0, 34.0 | 9.0, 24.0 | |
| Renal failure | 8 (18.6%) | 4 (23.5%) | 12 (20.0%) | 0.726 |
| Post-Txp hemodialysis | 7 (16.3%) | 3 (17.6%) | 10 (16.7%) | 1.000 |
| Midodrine use at discharge | 0 (0.0%) | 2 (11.8%) | 2 (3.3%) | 0.077 |
| Status at last follow-up | 1.000 | |||
| Alive | 35 (81.4%) | 14 (82.4%) | 49 (81.7%) | |
| Dead | 8 (18.6%) | 3 (17.6%) | 11 (18.3%) | |
| N | ||||
| Median (Q1, Q3) | ||||
| 0–6 mo | 302.0 (1.0, 3.0) | 81.5 (1.0, 3.0) | 382.0 (1.0, 3.0) | 0.651 |
| 6–12 mo | 151.0 (1.0, 2.0) | 11.0 | 161.0 (1.0, 2.0) | – |
| >12 mo | 203.0 (1.5, 4.0) | 21.0 (1.0, 1.0) | 223.0 (1.0, 4.0) | – |
Wilcoxon test.
Fisher Exact test.
BMI, body mass index; eGFR, estimated glomerular filtration rate; LOS, length of stay.