| Literature DB >> 31639158 |
Julian Nikolaus Bucher1, Maximilian Koenig1, Markus Bo Schoenberg1, Alexander Crispin2, Michael Thomas1, Martin Kurt Angele1, Daniela Eser-Valeri3, Alexander Lutz Gerbes4,5,6, Jens Werner1, Markus Otto Guba1,5,6.
Abstract
Liver transplant (LT) programs in Germany increasingly face a multiethnic patient population. To date no outcome data for LT in patients with a history of migration is available for Germany. This complicates decision-making before wait-listing such patients. We conducted a single-center cohort analysis of all primary LT between April 2007 and December 2015, stratified for the history of migration to investigate differences in the outcome. We found transplant rates resembling the proportion of persons with a history of migration in the general public in the region of our center. Differences were found concerning age at LT and prevalence of underlying diseases. Re-Transplant rates, Kaplan-Meier Estimates for overall survival, also after stratification for viral hepatitis, sex, ethnicity or presence of a language-barrier showed no statistical differences. The multivariate analysis showed no migration-related covariate associated with a negative outcome. These results stand in contrast to most of the previous evidence from North America and the UK and need to be taken into consideration during the wait-listing process of patients with a history of migration in need of a LT in centers in the Eurotransplant region.Entities:
Year: 2019 PMID: 31639158 PMCID: PMC6804963 DOI: 10.1371/journal.pone.0224116
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of all included liver transplant recipients (overall), recipients without- (nonmig-group), and with migration background (mig-group).
| Recipient characteristics | overall (n = 358) | no history of migration (n = 291) | with history of migration (n = 67) | |
|---|---|---|---|---|
| median age (IQR) | 53.3 (12.76) | 54.2 (11.44) | 49.1 (19.34) | |
| median age female patients (IQR) | 50.7 (15.87) | 52.4 (12.91) | 41.2 (15.9) | |
| median age male patients (IQR) | 54.3 (11.42) | 54.9 (10.25) | 50.5 (18.45) | |
| sex (F/M) | 119/239 | 98/193 | 21/46 | p = 0.7747 |
| MELD-score at time of transplant | ||||
| median allocation MELD-score (IQR) | 28 (12.25) | 28 (13) | 27 (10) | p = 0.3954 |
| median labMELD-score (IQR) | 20 (21) | 21 (20) | 18 (17) | p = 0.2162 |
| (N)SE MELD (IQR) | 26 (5) | 25 (4) | 27 (7) | p = 0.5895 |
| standard exception (%) | 119 (33%) | 93 (32%) | 26 (39%) | p = 0.4576 |
| non standard exception [NSE] (%) | 11 (3%) | 10 (3%) | 1 (2%) | |
| type of allocation allocation | ||||
| No. of standard allocations (%) | 186 (52%) | 153 (53%) | 33 (49%) | p = 0.240 |
| No. of high urgency status allocations (%) | 36 (10%) | 29 (10%) | 7 (11%) | |
| No. of rescue-allocations (%) | 136 (38%) | 109 (38%) | 27 (40%) | |
| indications for liver transplantation | ||||
| acute liver failure (%) | 26 (7%) | 19 (7%) | 7 (10%) | p = 0.2948 |
| alcoholic cirrhosis (%) | 66 (18%) | 59 (20%) | 7 (10%) | p = 0.0793 |
| NASH / NAFLD (%) | 1 (<1%) | 1 (<1%) | 0 (0%) | p = 1 |
| cryptogenic Cirrhosis (%) | 24 (7%) | 19 (7%) | 5 (7%) | p = 0.7872 |
| viral hepatitis (%) | 52 (15%) | 38 (13%) | 14 (21%) | p = 0.1227 |
| HepB hepatitis (%) | 8 (2%) | 7 (2%) | 1 (1%) | p = 1 |
| HepBD hepatitis (%) | 15 (4%) | 6 (2%) | 9 (13%) | |
| HepC hepatitis (%) | 29 (8%) | 25 (9%) | 4 (6%) | p = 0.6227 |
| viral hepatitis [as underlying disease (including HCC)] (%) | 110 (31%) | 78 (27%) | 32 (48%) | |
| Hep B hepatitis (%) [as underlying disease (including HCC)] (%) | 19 (5%) | 11 (4%) | 8 (12%) | |
| Hep BD hepatitis [as underlying disease (including HCC)] (%) | 18 (5%) | 6 (2%) | 12 (18%) | |
| Hep C hepatitis [as underlying disease (including HCC)] (%) | 73 (20%) | 61 (21%) | 12 (18%) | p = 0.6189 |
| alcoholic cirrhosis [as underlying disease (including HCC)] (%) | 96 (27%) | 87 (30%) | 9 (13%) | |
| cryptogenic cirrhosis [as underlying disease (including HCC)] (%) | 31 (9%) | 24 (8%) | 7 (10%) | p = 0.6291 |
| HCC (%) | 101 (28%) | 79 (27%) | 22 (33%) | p = 0.3681 |
| HCC in alcoholic cirrhosis (%) | 30 (8%) | 28 (10%) | 2 (3%) | p = 0.0886 |
| HCC in viral hepatitis (%) | 58 (16%) | 40 (14%) | 18 (27%) | |
| autoimmune Hepatitis (%) | 11 (3%) | 10 (3%) | 1 (1%) | p = 0.4882 |
| Cholestatic liver disease | 41 (11%) | 35 (12%) | 5 (7%) | p = 0.3899 |
| PSC (%) | 24 (7%) | 20 (7%) | 4 (6%) | p = 1 |
| PBC (%) | 6 (2%) | 5 (2%) | 1 (1%) | p = 1 |
| SSC (%) | 11 (3%) | 10 (3%) | 1 (1%) | p = 0.4882 |
| metabolic/genetic disorders | 14 (4%) | 12 (4%) | 2 (3%) | p = 1 |
| M. Wilson (%) | 2 (1%) | 1 (<1%) | 1 (1%) | p = 1 |
| Hemocromatosis (%) | 2 (1%) | 2 (1%) | 0 (0%) | p = 1 |
| other metabolic/genetic disorders (%) | 10 (3%) | 9 (3%) | 1 (1%) | p = 0.6952 |
| Cystic liver diesease (%) | 5 (1%) | 4 (1%) | 1 (1%) | p = 1 |
| Echinococcosis (%) | 1 (<1%) | 1 (<1%) | 0 (0%) | p = 1 |
| other liver tumors (%) | 6 (2%) | 5 (2%) | 1 (1%) | p = 1 |
| CCC (%) | 2 (1%) | 2 (1%) | 0 (0%) | p = 1 |
| Budd-Chiari (%) | 5 (1%) | 4 (1%) | 1 (1%) | p = 1 |
| other liver disease (%) | 3 (%) | 3 (1%) | 0 (0%) | p = 1 |
Data are median (IQR) or n (%).
Fig 1Kaplan-Meier estimates of cumulative survival of all included recipients of a liver transplant (all), recipients without- (nonmig-group), and with migration background (mig-group).
Fig 2Kaplan-Meier estimates of cumulative survival for the subgroups with viral hepatitis as underlying disease of all included recipients of a liver transplant (all), recipients without- (nonmig-group), and with migration background (mig-group).
Fig 3Kaplan-Meier estimates of cumulative survival after stratification for sex in female- (migF) and male recipients (migM) with migration background, and female- (nonmigF) and male recipients (nonmigM) without migration background.
Fig 4Kaplan-Meier estimates of cumulative survival in recipients with migration background stratified for migration status (mig1—German citizenship at time of transplant vs. mig2—no German citizenship at time of transplant) and recipients without migration background (nonmig).
Fig 5Compositions of the population with migration background in the region of our transplant center according to the microcensus 2008 and the studied cohort of liver transplant recipients with migration background at our center (dotted lines indicate the upper (UL) and lower limit (LL) of the 95% Confidence Interval).
In the cohort of LT recipients at our transplant center, 13.6% were born in Germany (95% CI 6–25%), 17% were resettlers or became naturalized after the Second World War (95% CI 8.4–29%), 25.4% were immigrants from EU-member countries (95% CI 15–38.4) and 44.1% were immigrants from non-EU countries (95% CI 31.2–57.6%).