Literature DB >> 28665060

Clinical Impacts of Donor Types of Living vs. Deceased Donors: Predictors of One-Year Mortality in Patients with Liver Transplantation.

Eun Jung Kim1,2, Seungjin Lim1,2, Chong Woo Chu3, Je Ho Ryu3, Kwangho Yang3, Young Mok Park3, Byung Hyun Choi3, Tae Beom Lee3, Su Jin Lee1,4.   

Abstract

Transplantation studies about the clinical differences according to the type of donors are mostly conducted in western countries with rare reports from Asians. The aims of this study were to evaluate the clinical impacts of the type of donor, and the predictors of 1-year mortality in patients who underwent liver transplantation (LT). This study was performed for liver transplant recipients between May 2010 and December 2014 at the Pusan National University Yangsan Hospital. A total of 185 recipients who underwent LT were analyzed. Of the 185 recipients, 109 (58.9%) belonged to the living donor liver transplantation (LDLT) group. The median age was 52.4 years. LDLT recipients had lower model for end-stage liver disease (MELD) score compared with better liver function than deceased donor liver transplantation (DDLT) recipients (mean ± standard deviation [SD], 12.5 ± 8.3 vs. 24.9 ± 11.7, respectively; P < 0.001), and had more advanced hepatocellular carcinoma (HCC) (62.4% vs. 21.1%, respectively; P = 0.001). In complications and clinical outcomes, LDLT recipients showed shorter stay in intensive care unit (ICU) (mean ± SD, 10.8 ± 8.8 vs. 23.0 ± 13.8 days, respectively, P < 0.001), ventilator care days, and post-operative admission days, and lower 1-year mortality (11% vs. 27.6%, respectively, P = 0.004). Bleeding and infectious complications were less in LDLT recipients. Recipients with DDLT (P = 0.004) showed higher mortality in univariate analysis, and multi-logistic regression analysis found higher MELD score and higher pre-operative serum brain natriuretic peptide (BNP) were associated with 1-year mortality. This study may guide improved management before and after LT from donor selection to post-operation follow up.
© 2017 The Korean Academy of Medical Sciences.

Entities:  

Keywords:  BNP; Infection; Liver Transplantation; Living Donor; Mortality

Mesh:

Year:  2017        PMID: 28665060      PMCID: PMC5494323          DOI: 10.3346/jkms.2017.32.8.1258

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   2.153


INTRODUCTION

Living donor liver transplantation (LDLT) has been used to increase the donor pool and significantly reduce the waiting list mortality of patients in need of liver transplantation (LT) (1). This has been associated with an improved 5-year survival (2). However, the studies about the clinical manifestations, complications, and mortality based on the type of donor reported many different results. Some studies reported similar biliary complications between LDLT and deceased donor liver transplantation (DDLT) (34). Quintini et al. (5) found that LDLT is safe and, in select cases, offers advantages over DDLT. However, other studies have shown a higher risk of biliary complications and higher rates of post-transplant hospitalization in patients who underwent LDLT (678). In Asian countries, where hepatocellular carcinoma (HCC) is endemic, LDLT is the primary treatment option currently available for HCC and end stage liver disease. Although LDLT accounts for the majority of LT cases in Asia (9), studies about the clinical differences according to the type of donors are mostly investigated in western countries with rare reports from Asian countries. The main goals of this study are to evaluate the clinical impacts of the type of donor, and the predictors of 1-year mortality in patients who underwent LT, and to recognize the association between type of donor and mortality. Understanding the clinical effects of type of donor on LT and the predictors of mortality may improve the management before and after LT from donor selection to post operation follow up.

MATERIALS AND METHODS

Patients and population

This retrospective study was performed for liver transplant recipients between May 2010 and December 2014 at the Pusan National University Yangsan Hospital, a 1,200-bed teaching hospital. We included all recipients aged 18 years or older, and all patients had been followed from the date of transplantation until either death or up to 1-year post transplant. The demographic data, the baseline characteristics, the outcomes, and the infectious complications were gathered. All the medical records were reviewed for the time the patient underwent LT. The following data was recorded for each patient: age, gender, the cause of liver disease, model for end-stage liver disease (MELD) score, Child-Pugh score, type of donor (living donor or deceased donor), pre-operative laboratory findings (alkaline phosphatase [ALP], C-reactive peptide [CRP], brain natriuretic peptide [BNP], international normalized ratio [INR]), infectious complications, bleeding, rejection, the duration of intensive care unit (ICU) admission, the hospital admission days, needs of extracorporeal membrane oxygenation (ECMO)/mechanical ventilation (vent care), and the 1-year mortality.

Statistical analysis

Statistical analysis was done using SPSS version 20.0 (SPSS Corp., Chicago, IL, USA). The descriptive analysis consisted of the mean, percent and range of the various parameters. The differences between living donor and deceased donor were compared using the χ2 test for the categorical variables, and the t-test or the rank-sum test was used for the numerical variables. Logistic regression analysis was performed to determine the predictors that were independently associated with 1-year mortality. P values < 0.05 were considered to be statistically significant.

Ethics statement

This study protocol was approved by the Institutional Review Board of Pusan National University Yangsan Hospital (IRB No. 30-2015-011). Informed consent was waived by the board.

RESULTS

Demographic features

A total of 185 recipients who underwent LT were analyzed. The median age was 52.4 years. The ratio was 131 men (70.8%) and 54 women (29.1%). Of the 185 recipients, 109 (58.9%) belonged to the LDLT group. Compared with DDLT, LDLT recipients had a higher percentage of patients who were diagnosed as HCC (62.4% vs. 21.1%, respectively; P = 0.001) and liver cirrhosis associated hepatitis B virus (71.6% vs. 39.5%, respectively; P = 0.001). They also had a lower level of creatinine, ALP, INR, BNP, CRP, and count of platelet at pre-operative laboratory findings. LDLT recipients had a significantly lower average MELD score (mean ± standard deviation [SD], 12.5 ± 8.3 vs. 24.9 ± 11.7, respectively; P < 0.001) and Child-Pugh score (mean ± SD, 3.6 ± 3.2 vs. 6.1 ± 3.9, respectively; P < 0.001). There were no significant differences in age and gender between LDLT and DDLT groups. The demographic characteristics of the recipients with LT are shown in Table 1.
Table 1

The demographics of the recipients with LT

ParametersAll patients (n = 185)LDLT (n = 109)DDLT (n = 76)P
Age, yr52.4 ± 9.652.0 ± 8.553.1 ± 11.00.488
Gender (male/female)131/5481/2850/260.210
Score of MELD17.6 ± 11.512.5 ± 8.324.9 ± 11.7< 0.001
Child-Pugh score4.6 ± 3.73.6 ± 3.26.1 ± 3.9< 0.001
Underlying liver disease< 0.001
 HCC84 (45.4)68 (62.4)16 (21.1)
 Cause of hepatic disease
  HBV108 (58.4)78 (71.6)30 (39.5)
  HCV21 (11.4)13 (11.9)8 (10.5)
  Coinfection of HBV/HCV4 (2.2)2 (1.8)2 (2.6)
  Alcohol-related liver disease40 (21.6)19 (17.4)21 (30.0)
  Autoimmune hepatitis5 (2.7)1 (0.9)4 (5.3)
  Toxic hepatitis6 (3.2)1 (0.9)5 (6.6)
  Idiopathic hepatitis7 (3.8)1 (0.9)6 (7.8)
  Others*5 (2.7)2 (1.8)3 (3.9)
Pre-operating laboratory finding
 ALT104.9 ± 318.289.1 ± 324.8127.6 ± 309.30.420
 Cr1.0 ± 0.70.9 ± 0.41.2 ± 0.90.002
 ALP271.1 ± 187.4240.1 ± 120.9315.6 ± 248.30.016
 INR1.8 ± 0.71.5 ± 0.72.2 ± 0.7< 0.001
 PLT79.0 ± 49.588.4 ± 52.365.6 ± 41.90.001
 CRP1.6 ± 2.40.7 ± 1.42.9 ± 3.0< 0.001
 BNP184.7 ± 426.6126.9 ± 279.5273.3 ± 576.50.042

Values are presented as mean ± SD or number (%).

LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, MELD = model for end-stage liver disease, HCC = hepatocellular carcinoma, HBV = hepatitis B, HCV = hepatitis C, ALT = alanine transaminase, Cr = creatinine, ALP = alkaline phosphatase, INR = international normalized ratio, PLT = platelet, CRP = C-reactive peptide, BNP = brain natriuretic peptide, SD = standard deviation.

*Others: 1 sclerosing cholangitis, 1 primary pulmonary hypertension, 1 Klatskin tumor, 2 Wilson's disease.

Values are presented as mean ± SD or number (%). LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, MELD = model for end-stage liver disease, HCC = hepatocellular carcinoma, HBV = hepatitis B, HCV = hepatitis C, ALT = alanine transaminase, Cr = creatinine, ALP = alkaline phosphatase, INR = international normalized ratio, PLT = platelet, CRP = C-reactive peptide, BNP = brain natriuretic peptide, SD = standard deviation. *Others: 1 sclerosing cholangitis, 1 primary pulmonary hypertension, 1 Klatskin tumor, 2 Wilson's disease.

Clinical outcome and complications

The recipients of DDLT group showed higher 1-year mortality (27.6% vs. 11.0%, respectively; P = 0.004) and post operation 100-days mortality (23.7% vs. 5.5%, respectively; P < 0.001). They also showed longer duration of ICU care (mean ± SD, 23.0 ± 13.8 vs. 10.8 ± 8.8, respectively; P < 0.001), mechanical ventilation care (mean ± SD, 14.1 ± 12.1 vs. 4.3 ± 6.1, respectively; P < 0.001), and hospital admission days (mean ± SD, 52.1 ± 35.4 vs. 32.3 ± 20.7, respectively; P < 0.001). Of the 185 patients enrolled, 87 (47.0%) experienced 173 infectious episodes. Bacterial infections were the most common infectious complications (n = 157, 90.7%), followed by fungal infections (n = 10, 5.7%), viral infections (n = 4, 2.3%), and tuberculosis (n = 1, 0.6%). Enterococcus spp. (31.6%) were the leading pathogens, followed by E. coli (11.1%) and Klebsiella pneumoniae (10.2%). The most common infections were intraabdominal (17.8%) and urinary tract infection (16.2%), followed by pneumonia (15.7%) and blood stream infections (10.8%). Infectious complications were more frequently observed in DDLT group (71.1% vs 30.3%; P < 0.001). Tables 2 and 3 show the clinical outcome and complications in the patients with LT, according to type of donor.
Table 2

Clinical influence of type of donor in patients with LT

ParametersAll patients (n=185)LDLT (n=109)DDLT (n=76)P
1-year mortality33 (17.8)12 (11.0)21 (27.6)0.004
Post-operative admission day40.4 ± 29.332.3 ± 20.752.1 ± 35.4< 0.001
30-day mortality11 (6.0)3 (2.8)8 (10.5)0.053
100-day mortality24 (13.0)6 (5.5)18 (23.7)< 0.001
Duration of ICU15.8 ± 12.610.8 ± 8.823.0 ± 13.8< 0.001
Duration of vent care8.1 ± 10.34.3 ± 6.114.1 ± 12.1< 0.001
ECMO8 (4.3)2 (1.8)6 (7.9)0.066

Values are presented as mean ± SD or number (%).

LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, ICU = intensive care unit, ECMO = extracorporeal membrane oxygenation, SD = standard deviation.

Table 3

Infectious and non-infectious complications according to type of donor in patients with LT

ComplicationsAll patients (n = 185)LDLT (n = 109)DDLT (n = 76)P
Infection87 (47.0)33 (30.3)54 (71.1)< 0.001
Type of infection
 Intraabdominal infection33 (17.8)12 (11.0)21 (27.6)0.004
 Blood stream infection20 (10.8)5 (4.6)15 (19.7)0.001
 Pneumonia29 (15.7)6 (5.5)23 (30.3)< 0.001
 Urinary tract infection30 (16.2)9 (8.3)21 (27.6)< 0.001
 Wound infection7 (3.8)4 (3.7)3 (4.0)1.000
VRE0.051
 1st colonizer10 (5.4)4 (3.7)6 (7.9)
 New colonizer40 (21.6)18 (16.5)22 (29.0)
 None134 (72.4)86 (78.9)48 (63.2)
Non-infectious complications
 Bleeding34 (18.4)14 (12.8)20 (26.3)0.017
 Rejection36 (19.5)21 (19.3)15 (19.7)0.541
 Biliary (biliary leaks, stricture)15 (8.1)10 (9.1)5 (6.5)0.085

Values are presented as number (%).

LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, VRE = vancomycin resistant enterococcus

Values are presented as mean ± SD or number (%). LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, ICU = intensive care unit, ECMO = extracorporeal membrane oxygenation, SD = standard deviation. Values are presented as number (%). LT = liver transplantation, LDLT = living donor liver transplantation, DDLT = deceased donor liver transplantation, VRE = vancomycin resistant enterococcus

One-year mortality

The 1-year mortality rate was 17.8%. Higher mortality rate was seen in recipients with DDLT (P = 0.004), high MELD score (P = 0.005), longer ICU stay (P < 0.001), longer vent care (P < 0.001), higher preoperative BNP (P = 0.008)/CRP (P = 0.032), more frequent infectious complications (P < 0.001) including blood stream infection (P < 0.001), intraabdominal infection (P = 0.002) and pneumonia (P < 0.001). Table 4 shows the differences between the survivors and the non-survivors. According to multi-logistic regression analysis of the predictors of 1-year mortality, MELD score (relative risk [RR], 1.07; 95% confidence interval [CI], 1.04–1.10, P = 0.005), preoperative BNP (RR, 1.02; 95% CI, 1.00–1.19; P = 0.019) were independently associated with 1-year mortality (Table 5).
Table 4

Simple logistic regression analysis of the potential independent risk factors for 1-year mortality

ParametersAlive (n = 152)Death (n = 33)P
LT type0.004
 DDLT55 (36.2)21 (63.6)
 LDLT97 (63.8)12 (36.4)
HCC74 (48.7)10 (30.3)0.055
Score of MELD16.4 ± 10.722.9 ± 13.90.005
Child-Pugh score4.4 ± 3.75.3 ± 3.60.204
Duration of ICU13.8 ± 10.924.8 ± 16.0< 0.001
Duration of vent care6.2 ± 7.318.0 ± 15.5< 0.001
Preoperative BNP172.1 ± 373.7563.2 ± 1,082.10.008
Preoperative CRP1.4 ± 2.42.5 ± 2.50.032
Acute rejection23 (15.1)8 (24.2)0.204
Infection64 (42.1)23 (69.7)0.004
Frequency of infection0.7 ± 1.12.0 ± 1.6< 0.001
Blood stream infection9 (5.9)11 (33.3)< 0.001
Intraabdominal infection21 (13.8)12 (36.4)0.002
Pneumonia17 (11.2)12 (36.4)< 0.001

Values are presented as mean ± SD or number (%).

LT = liver transplantation, DDLT = deceased donor liver transplantation, LDLT = living donor liver transplantation, HCC = hepatocellular carcinoma, MELD = end-stage liver disease, ICU = intensive care unit, BNP = brain natriuretic peptide, CRP = C-reactive peptide.

Table 5

Multiple logistic regression analysis of the potential independent risk factors for 1-year mortality

PredictorsOR95% CIP
LT type1.600.48–5.290.443
Score of MELD1.051.01–1.080.004
Child-Pugh score0.940.82–1.070.360
Duration of ICU0.970.90–1.030.313
Duration of vent care1.141.04–1.240.065
Preoperative BNP1.001.001–1.0040.008
Preoperative CRP0.970.80–1.180.776
Infection0.680.17–2.760.589
Frequency of infection1.180.55–2.500.675
Blood stream infection3.730.67–20.800.133
Intraabdominal infection1.900.43–8.370.395
Pneumonia1.330.31–5.750.704

OR = odds ratio, CI = confidence interval, LT = liver transplantation, MELD = model for end-stage liver disease, ICU = intensive care unit, BNP = brain natriuretic peptide, CRP = C-reactive peptide.

Values are presented as mean ± SD or number (%). LT = liver transplantation, DDLT = deceased donor liver transplantation, LDLT = living donor liver transplantation, HCC = hepatocellular carcinoma, MELD = end-stage liver disease, ICU = intensive care unit, BNP = brain natriuretic peptide, CRP = C-reactive peptide. OR = odds ratio, CI = confidence interval, LT = liver transplantation, MELD = model for end-stage liver disease, ICU = intensive care unit, BNP = brain natriuretic peptide, CRP = C-reactive peptide.

DISCUSSION

Many patients with end stage liver disease die of disease aggravation while on the waiting list for transplantation. However, the waiting time has been shortened and survival has improved with the advent of LDLT. Living donors provide a large pool of organs, and LDLT seems to be the only immediately available alternative to DDLT (12). In Asian regions such as Japan, Korea, Hong Kong, and Taiwan, where HCC is endemic, LDLT is the main currently available treatment option for HCC and end stage liver disease (101112). Although there have been great advances in LDLT, the studies about the clinical impact of LDLT compared with DDLT is rare in Asian countries. In this study, we evaluated mortality, days of admission, duration of ICU/ventilator care, infection, and non-infection complications. Compared with DDLT recipients, LDLT recipients had lower MELD score, better liver function and had more advanced HCC. In complication and clinical outcomes, LDLT recipients showed shorter ICU/vent care days, post-operative admission days, and lower mortality. Bleeding and infectious complications were less in LDLT recipients. However, there was no difference in the 2 donor types for biliary complications and rejection (Table 3). Contrary to this study, many other western studies showed higher complication and readmissions in LDLT recipients (6714). Samstein et al. (13) also reported LDLT recipients had a significantly higher probability of technical complications, including bile leaks, biliary strictures and biliary tree infections, but they found a decreasing trend in the probability of biliary stricture in centers performing the highest number of LDLTs per year. This suggests that greater experience may play a role in considerably lowering the technical complication rates in LDLT recipients (13). Similar biliary complications between LDLT and DDLT recipients in this study seems to be due to the experience gained by performing the LDLT more frequently. We hypothesized that mortality is affected by type of donors and evaluated the risk factors of 1-year mortality after LT. Recipients with DDLT (P = 0.004) showed higher mortality in univariate analysis. But in the multi-logistic regression analysis, only higher MELD score and higher preoperative BNP were associated with 1-year mortality (Table 5). Several studies have shown the mortality to be similar in DDLT and LDLT (2101112). Ping et al. (12) did a meta-analysis with 19 published clinical cohort studies, and they reported that perioperative mortality after LT was not significantly different between LDLT and DDLT recipients. We found preoperative BNP was a significant predictor of mortality. Recently, Toussaint et al. (15) reported that recipients with MELD score exceeding 25 and pre-LT serum BNP level less than 155 pg/mL survived, whereas patients combining MELD score exceeding 25 and pre-LT BNP concentration exceeding 155 pg/mL had a 27% ICU mortality rate. Further larger studies about BNP as predictor of mortality are needed. This study may be affected by all of the limitations of the study's retrospective design. Therefore, further prospective large multi-centered studies are required to provide more accurate results in the Asian region. Cumulative data may help to improve the management before and after LT from donor selection to post operation follow up.
  15 in total

1.  Asian contribution to living donor liver transplantation.

Authors:  Sung-Gyu Lee
Journal:  J Gastroenterol Hepatol       Date:  2006-03       Impact factor: 4.029

2.  Complications and Their Resolution in Recipients of Deceased and Living Donor Liver Transplants: Findings From the A2ALL Cohort Study.

Authors:  B Samstein; A R Smith; C E Freise; M A Zimmerman; T Baker; K M Olthoff; R A Fisher; R M Merion
Journal:  Am J Transplant       Date:  2015-10-13       Impact factor: 8.086

Review 3.  Is there an advantage of living over deceased donation in liver transplantation?

Authors:  Cristiano Quintini; Koji Hashimoto; Teresa Diago Uso; Charles Miller
Journal:  Transpl Int       Date:  2012-09-02       Impact factor: 3.782

4.  Liver transplant recipient survival benefit with living donation in the model for endstage liver disease allocation era.

Authors:  Carl L Berg; Robert M Merion; Tempie H Shearon; Kim M Olthoff; Robert S Brown; Talia B Baker; Gregory T Everson; Johnny C Hong; Norah Terrault; Paul H Hayashi; Robert A Fisher; James E Everhart
Journal:  Hepatology       Date:  2011-10       Impact factor: 17.425

5.  Biliary complications after right lobe living donor liver transplantation: a single-centre experience.

Authors:  Onur Yaprak; Murat Dayangac; Murat Akyildiz; Tolga Demirbas; Necdet Guler; Fisun Bulutcu; Nuray Bassullu; Elif Akun; Yildiray Yuzer; Yaman Tokat
Journal:  HPB (Oxford)       Date:  2011-10-25       Impact factor: 3.647

6.  Complications and long-term outcome of living liver donors: a survey of 1,508 cases in five Asian centers.

Authors:  Chung-Mau Lo
Journal:  Transplantation       Date:  2003-02-15       Impact factor: 4.939

Review 7.  Operative outcomes of adult living donor liver transplantation and deceased donor liver transplantation: a systematic review and meta-analysis.

Authors:  Ping Wan; Xin Yu; Qiang Xia
Journal:  Liver Transpl       Date:  2014-04       Impact factor: 5.799

8.  Recipient morbidity after living and deceased donor liver transplantation: findings from the A2ALL Retrospective Cohort Study.

Authors:  C E Freise; B W Gillespie; A J Koffron; A S F Lok; T L Pruett; J C Emond; J H Fair; R A Fisher; K M Olthoff; J F Trotter; R M Ghobrial; J E Everhart
Journal:  Am J Transplant       Date:  2008-10-24       Impact factor: 8.086

9.  Prognostic Value of Preoperative Brain Natriuretic Peptide Serum Levels in Liver Transplantation.

Authors:  Amelie Toussaint; Emmanuel Weiss; Linda Khoy-Ear; Sylvie Janny; Jacqueline Cohen; Didier Delefosse; Lucie Guillemet; Etienne Gayat; Catherine Paugam-Burtz
Journal:  Transplantation       Date:  2016-04       Impact factor: 4.939

Review 10.  Living donor liver transplantation for patients with hepatocellular carcinoma.

Authors:  Nobuhisa Akamatsu; Yasuhiko Sugawara; Norihiro Kokudo
Journal:  Liver Cancer       Date:  2014-05       Impact factor: 11.740

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2.  Meta-analysis and meta-regression of outcomes for adult living donor liver transplantation versus deceased donor liver transplantation.

Authors:  Arianna Barbetta; Mayada Aljehani; Michelle Kim; Christine Tien; Aaron Ahearn; Hannah Schilperoort; Linda Sher; Juliet Emamaullee
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3.  Increased Surgical Complications but Improved Overall Survival with Adult Living Donor Compared to Deceased Donor Liver Transplantation: A Systematic Review and Meta-Analysis.

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