| Literature DB >> 31096947 |
Ann-Kathrin Lederer1, Dominic Haffa2, Philipp Felgendreff3,4, Frank Makowiec5, Stefan Fichtner-Feigl2, Roman Huber6, Lampros Kousoulas2.
Abstract
BACKGROUND: Physicians are faced with a growing number of patients after renal transplantation undergoing graft-unrelated surgery. So far, little is known about the postoperative restitution of graft function and the risk factors for a poor outcome.Entities:
Keywords: Graft-unrelated surgery; Immunosuppression; Kidney transplantation; Renal failure
Mesh:
Substances:
Year: 2019 PMID: 31096947 PMCID: PMC6521488 DOI: 10.1186/s12882-019-1358-2
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Risk factor analysis of postoperative renal failure in 101 renal-transplant patients undergoing abdominal or abdominal wall surgery
| Parameter | n | Dialysis-dependent Renal failure, n (%) | p | Acute renal Failure, n (%) | p | Permanent Renal failure, n (%) | p |
|---|---|---|---|---|---|---|---|
| Age | |||||||
| < 60 years | 54 | 4 (7%) | 0.228 | 8 (15%) | 0.397 | 5 (9%) | 0.151 |
| > 60 years | 47 | 7 (15%) | 10 (21%) | 9 (19%) | |||
| Creatinine preoperative | |||||||
| < 2.0 mg / dl | 64 | 6 (9%) | 0.746 | 7 (11%) |
| 7 (11%) | 0.382 |
| > 2.0 mg / dl | 35 | 4 (11%) | 10 (29%) | 6 (17%) | |||
| Extent | |||||||
| major | 49 | 7 (14%) | 0.288 | 12 (25%) | 0.089 | 10 (20%) | 0.065 |
| minor | 52 | 4 (8%) | 6 (12%) | 4 (8%) | |||
| Gender | |||||||
| male | 63 | 5 (8%) | 0.220 | 7 (11%) |
| 5 (8%) |
|
| female | 38 | 6 (16%) | 11 (29%) | 9 (24%) | |||
| GFR preoperative | |||||||
| > 40 ml / min | 45 | 3 (7%) | 0.244 | 4 (9%) |
| 4 (9%) | 0.201 |
| < 40 ml / min | 54 | 7 (13%) | 13 (24%) | 9 (17%) | |||
| Location | |||||||
| intraabdominal | 78 | 8 (10%) | 0.706 | 15 (19%) | 0.496 | 11 (14%) | 0.897 |
| abdominal wall | 23 | 3 (13%) | 3 (13%) | 3 (13%) | |||
| Time since transplantation | |||||||
| < 10 years | 34 | 1 (3%) | 0.068 | 3 (9%) | 0.092 | 2 (6%) | 0.098 |
| > 10 years | 67 | 10 (15%) | 15 (22%) | 12 (18%) | |||
| Timing | |||||||
| emergency | 35 | 8 (23%) |
| 11 (31%) |
| 8 (23%) | 0.057 |
| elective | 66 | 3 (5%) | 7 (11%) | 6 (9%) | |||
| Transplanted | |||||||
| Once | 78 | 8 (10%) | 0.706 | 11 (14%) | 0.072 | 9 (12%) | 0.213 |
| More than once | 23 | 3 (13%) | 7 (30%) | 5 (22%) | |||
Bold entries are significant
Influence of the three most common preoperative immunosuppressive medications on risk of renal failure and mortality
| Immunosuppressant | n | Dialysis-dependent Renal failure, n (%) | p | Acute renal Failure, n (%) | p | Permanent Renal failure, n (%) | p | Mortality | p |
|---|---|---|---|---|---|---|---|---|---|
| Tacrolimus | |||||||||
| no | 46 | 9 (20%) |
| 12 (27%) |
| 10 (22%) |
| 14 (31%) |
|
| yes | 55 | 2 (4%) | 6 (11%) | 4 (7%) | 6 (11%) | ||||
| only | 10 | 2 (20%) |
| 3 (30%) |
| 3 (30%) |
| 4 (40%) |
|
| combined with MMF | 45 | 0 (0%) | 3 (7%) | 1 (2%) | 2 (4%) | ||||
| Cyclosporine | |||||||||
| no | 69 | 4 (6%) |
| 8 (12%) |
| 6 (8%) |
| 11 (16%) | 0.153 |
| yes | 32 | 7 (22%) | 10 (31%) | 8 (25%) | 9 (28%) | ||||
| only | 16 | 3 (18%) | 0.780 | 5 (31%) | 1.000 | 3 (19%) | 0.564 | 4 (25%) | 0.780 |
| combined with MMF | 16 | 4 (25%) | 5 (31%) | 5 (31%) | 5 (31%) | ||||
| Mycophenolat mofetil | |||||||||
| no | 34 | 6 (18%) | 0.121 | 9 (27%) | 0.106 | 7 (21%) | 0.163 | 10 (29%) | 0.084 |
| yes | 67 | 5 (8%) | 9 (13%) | 7 (10%) | 10 (15%) | ||||
| …and Tacrolimus | 45 | 0 (0%) |
| 3 (7%) |
| 1 (2%) |
| 2 (4%) |
|
| …and Cyclosporin | 16 | 4 (25%) | 5 (31%) | 5 (31%) | 5 (31%) | ||||
Bold entries are significant
Case-control-comparison: Description of patients and course of creatinine and GFR (Pre- and postoperative creatinine was not measured in all patients)
| Transplanted ( | Control ( | p | |
| Age [years, mean ± SD] | 59.0 ± 9.0 | 60.5 ± 15.5 | 0.349 |
| Gender [male/female %] | 61.9/38.1 | 56.0/44.0 | 0.444 |
| Dialysis-dependent renal failure, n [%] | 8 (9.0) | 0 (0) |
|
| Acute renal failure, n [%] | 15 (17.9) | 2 (2.4) |
|
| Permanent renal failure, n [%] | 11 (13.1) | 0 (0) |
|
| Preoperative | Transplanted ( | Control ( | p |
| Creatinine [mg / dl, mean ± SD] | 1.93 ± 0.88 | 1.04 ± 1.36 |
|
| GFRa [ml / min / 1.73m2 ± SD] | 43.29 ± 22.22 | 84.08 ± 23.63 |
|
| 1. Postoperative day | Transplanted (n = 83) | Control ( | p |
| Creatinine [mg / dl, mean ± SD] | 2.57 ± 1.28 | 1.12 ± 0.73 |
|
| GFRa [ml / min / 1.73m2, mean ± SD] | 32.05 ± 18.35 | 75.24 ± 25.64 |
|
| Discharge | Transplanted (n = 82) | Control ( | p |
| Creatinine [mg /dl, mean ± SD] | 1.78 ± 0.94 | 0.90 ± 0.43 |
|
| GFRa [ml / min/ 1.73m2, mean ± SD] | 53.85 ± 26.55 | 90.94 ± 23.13 |
|
| After 6 months | Transplanted ( | Control ( | p |
| Creatinine [mg / dl, mean ± SD] | 2.05 ± 0.90 | 1.12 ± 0.69 |
|
| GFRa [ml / min / 1.73m2, mean ± SD] | 41.40 ± 21.84 | 76.64 ± 26.58 |
|
SD Standard deviation, aGFR was calculated via CKD-EPI equation
Bold entries are significant
Fig. 1Course of creatinine
Fig. 2Course of GFR