Abstract
Problem
We hypothesize that recipients with pre-transplant portal vein thrombosis (PVT) receiving organs from high-risk donors (HRD) are at increased risk of HAT.
Methods
Data on all liver transplants in the United States from February 2002-March 2015 were analyzed. Recipients were sorted into two groups: those with PVT and those without. HRDs were defined by Donor Risk Index (DRI) >1.7. Multivariable logistic regression models were constructed to assess independent risk factors for HAT with resultant graft loss ≤90 days from transplantation.
Results
60,404 candidates underwent liver transplantation; of those recipients, 623 (1.0%) had HAT, of which 66.0% (n=411) received organs from HRDs compared to 49.3% (n=29,473) in recipients without HAT (p<0.001). 2,250 (3.7%) recipients had pre-transplantation PVT and received organs from HRDs. On adjusted multivariable analysis, PVT with a HRD organ was the most significant independent risk factor (OR 3.56, 95% CI 2.52–5.02, p<0.001) for the development of HAT.
Conclusions
Candidates with pre-transplant PVT who receive an organ from a HRD are at the highest risk for post-operative HAT independent of other measurable factors. Recipients with pre-transplant PVT would benefit from careful donor selection and possibly anticoagulation perioperatively.
Keywords: Hepatology, Coagulopathy, Cirrhosis, Portal hypertension, Outcomes
Introduction
Hepatic artery thrombosis (HAT) is an uncommon complication after liver transplantation with serious clinical implications including graft loss and increased recipient mortality.[1–3] Surgical risk factors including organ cold ischemia time (CIT), surgical technique, delay in reperfusion and anatomic abnormalities all likely play a role in outcomes.[4, 5] Less is understood about recipient-specific risk factors; however, prior liver transplantation, inherited thrombophilia, primary sclerosing cholangitis, acute intermittent porphyria and onset of diabetes post-transplantation may be associated with HAT.[6–12] We have previously shown that liver transplant recipients with pre-transplantation portal vein thrombosis (PVT) are at increased odds of HAT and that donor risk index (DRI) is predictive of HAT.[3] PVT is commonly associated with increased hepatic decompensation and mortality complication in patients with cirrhosis.[13, 14] [15] Both PVT and increased DRI in liver transplantation recipients are associated with a higher rate of graft loss due to primary non-function, in many cases leading to re-transplantation.[16] While careful donor selection may be important in order to prevent post-operative HAT in recipients with pre-transplantation PVT, a widely accepted cutoff has not yet been established. Originally proposed by Feng et al in 2006,[17] DRI is the most widely used system to evaluate donor risk and assist the transplant team in decision-making regarding graft utilization.[18] A DRI cutoff of greater than 1.7 has been proposed to define “high-risk” and validated by multiple studies showing this value is predictive of poorer post-transplantation outcomes including recipient survival.[19, 20] In this retrospective cross-sectional study of liver transplant recipients in the United States, we aimed to examine HAT risk factors in liver transplant recipients. Owing to their presumed hypercoagulable nature, we hypothesize that recipients with pre-transplant PVT who receive organs from high-risk donors (HRD) are at increased risk of HAT.
METHODS
Study design and recipient characteristics
Data on all liver transplantations between February 1, 2002 and March 31, 2015 in the United States were analyzed from the Organ and Transplantation Network (OPTN) with permission from the United Network for Organ Sharing (UNOS). This cross-sectional nationwide database has been previously validated to analyze HAT and PVT in recipients undergoing liver transplantation.[3, 13, 21–23] Only recipients who were transplanted at or above 18 years of age were included in our analysis. All living donor transplants, re-transplants, status one candidates, multi-visceral transplants, acute liver failure transplants and recipients with transjugular intrahepatic portosystemic shunts (TIPS) were excluded. Due to the higher rate of non-thrombotic complications, the analysis was performed both with and without donation after cardiac death (DCD) recipients and the fundamental conclusions of the statistical analysis were not changed, therefore DCD organ recipients were also excluded. In the OPTN/UNOS dataset, there are ten values for the cause of graft loss variable: “recurrent disease, infection, chronic rejection, acute rejection, de novo hepatitis, recurrent hepatitis, primary nonfunction, biliary, vascular thrombosis and other (write-in field).” Based on previously validated methodology,[3, 24, 25] utilizing the “vascular thrombosis” and “other” category with the search terms “hepatic artery thrombosis,” HAT was defined by these two values provided there was resultant graft loss within 90 days of liver transplantation. Recipients who experienced HAT >90 days post transplantation were included in the non HAT group (n= 2). Missing data were handled initially by comparing the patients with known HAT status to those with unknown status. This comparison yielded one major difference; an increased percentage of recipients with underlying chronic hepatitis C (HCV) which we have previously shown to not be associated with an increased or decreased risk of HAT[3] and thus not a clinically relevant difference. Given the similarities in the two cohorts, the decision was made to include all recipients with unknown HAT status and to consider them as having “no HAT” in order to prevent inducing allocation bias.
Baseline recipient, operative and donor characteristics were analyzed. Recipient characteristics included the etiology of liver disease [hepatitis B, HCV, NASH/cryptogenic, autoimmune, cholestatic, hepatocellular carcinoma (HCC), alcoholic, and other liver diseases, which included recipients receiving an organ for any other reason than those above], severity of liver disease based on laboratory Model for End-Stage Liver Disease (MELD) score at transplantation and portal hypertensive complications including encephalopathy, ascites and PVT. Operative factors reviewed included locoregional or national organ sharing, CIT and parenteral heparin use at the time of cross clamping. Donor variables included organ steatosis content, age, ethnicity, cause of death, desmopressin (DDAVP) use for bleeding complications, cytomegalovirus status (IgG) and DRI which was dichotomized into high-risk and normal-risk (NRD) based on a previously validated cutoff of >1.7. [19, 20] The OPTN/UNOS dataset does not contain sufficient information regarding anticoagulant use for pre-existing venous thromboembolic disease nor does it contain variables specifying the presence of an inherited thrombophilic state.
Statistics
Using univariate logistic regression modeling, recipients with pre-transplantation PVT were compared statistically to those without PVT in an effort to compare recipient, operative and donor characteristics. Similarly, candidates receiving an organ from a HRD were compared to recipients transplanted with an organ from a standard risk donor (SRD). The primary outcome was graft loss secondary to HAT within the first 90 days of transplantation. Multivariable logistic regression models were then constructed to assess statistical associations and risk factors for the development of HAT utilizing maximum likelihood estimates. Variables were included in the final model only if they have previously been shown to be clinically relevant to the development of post-transplantation HAT or were statistically significant by univariate analysis (p < 0.20). [26, 27] Final variables included in the logistic regression model included recipient age at transplantation, gender, BMI, African American race, diabetes, HCC, HCV, cholestatic liver disease, autoimmune hepatitis, encephalopathy (which was divided into those with encephalopathy score >2), ascites (similarly divided by score > 2), laboratories at transplantation (INR, bilirubin, creatinine, albumin, sodium), PVT], operative (heparin use at cross clamp, and donor factors (age, gender, HRD, DDAVP). Interaction terms for PVT and HRD, HCV and donor age, NASH and BMI and NASH and diabetes were included in the final model. Possible covariates for the PVT-HRD interaction variable included PVT with HRD, no PVT with HRD, as well as PVT with SRD. These were compared to a reference of no PVT with SRD. A p value of less than or equal to 0.05 was considered statistically significant, and all tests were two sided. Data imputation was not performed. SAS (version 9.4, Cary, NC) was utilized for all analysis and dataset manipulation. The OPTN/UNOS dataset is de-identified, thus, institutional review board approval was not required. No transplantations involving prisoners were included in our analysis.
RESULTS
60,404 recipients underwent liver transplantation from February 27, 2002, through March 31, 2015 and met our inclusion criteria; of these, 623 (1.0%) had HAT leading to early graft loss within 90 days of LT, which is similar to the accepted incidence of post-transplantation HAT. [3] Overall PVT prevalence was 7.5%, similar to previously published rates using the OPTN/UNOS dataset.[3] Of the recipients with post-transplantation HAT, 66.0% (n=411) received organs from HRDs compared to 49.3% (n=29,473) in recipients without HAT (p<0.001). Pre-transplant PVT was found in 13.5% (n=84) of recipients with post-transplantation HAT versus 7.5% (n=4,471) in those without HAT (p<0.001). 2,250 (3.7%) recipients had pre-transplantation PVT and received organs from HRDs.
On univariate analysis, recipient characteristics including demographics, etiology of liver disease, and severity of liver disease (both portal hypertension and laboratory values), were statistically similar or within marginal clinically important differences for patients with and without pre-transplantation PVT (Table 1) and when comparing HRD to NRD (Table 2), with several exceptions. Recipients with PVT were more likely to have pre-transplantation diabetes mellitus (30.2% versus 22.8%, p<0.001), NASH (17.4% versus 10.9%, p<0.001), HCC (26.4% versus 21.7%, p<0.001), and grade 3–4 ascites (32.2% versus 27.8%, p<0.001). Recipients with PVT were less likely to have underlying chronic HCV (25.3% versus 30.2%, p<0.001). In terms of surgical factors, heparin use at aortic cross-clamp was more common in recipients with pre-transplantation PVT (89.8% versus 84.8%, p<0.001) and CIT was slightly longer in the PVT group (6.95 +/− 3.34 hours versus 6.81 +/− 3.43 hours, p=0.015).
Table 1.
Portal Vein Thrombosis (n=4,555) | No Portal Vein Thrombosis (n=55,849) | p-value | |
---|---|---|---|
Recipient Characteristics | |||
Age at transplant, mean years | 55.7 +/− 9.5 | 53.8 +/− 10.2 | <0.001 |
Male gender, n (%) | 3,191 (70.1) | 37,350 (66.9) | <0.001 |
African American race, n (%) | 285 (6.3) | 5,572 (10.0) | <0.001 |
Diabetes, n (%) | 1,376 (30.2) | 12,740 (22.8) | <0.001 |
On dialysis at transplantation, n (%) | 511 (11.2) | 5,821 (10.4) | NS |
BMI, mean kg/m2 | 28.7 +/− 5.7 | 28.2 +/− 5.7 | <0.001 |
Etiology of liver disease, n (%) | |||
Alcoholic liver disease | 500 (11.0) | 6,592 (11.8) | NS |
Autoimmune disease | 123 (2.7) | 1,384 (2.5) | NS |
Cholestatic disease | 275 (6.0) | 4,180 (7.5) | <0.001 |
Hepatitis B | 75 (1.7) | 1,201 (2.2) | 0.023 |
Hepatitis C | 1,151 (25.3) | 16,847 (30.2) | <0.001 |
NASH | 794 (17.4) | 6,058 (10.9) | <0.001 |
Other | 1,637 (35.9) | 19,587 (35.0) | NS |
Severity of Liver Disease | |||
MELD score at transplantation, mean | 21.9 +/− 9.8 | 21.2 +/− 10.4 | <0.001 |
HCC, n (%) | 1,204 (26.4) | 12,136 (21.7) | <0.001 |
Ascites grade > 2 at transplant, n (%) | 1,465 (32.2) | 15,533 (27.8) | <0.001 |
HE > 2 at transplant, n (%) | 474 (10.4) | 6,124 (11.0) | NS |
Laboratory values | |||
Serum bilirubin, mg/dL, mean | 7.74 +/− 10.72 | 7.79 +/− 10.52 | NS |
INR, mean | 1.89 +/− 0.97 | 1.87 +/− 1.28 | NS |
Serum albumin, g/dL, mean | 3.03 +/− 0.73 | 3.03 +/− 0.73 | NS |
Creatinine, g/dL, mean | 1.54 +/− 1.16 | 1.55 +/− 1.38 | NS |
Serum sodium, mEq/L, mean | 135.7 +/− 5.2 | 136.1 +/− 5.2 | <0.001 |
Donor characteristics | |||
Age donor, mean years | 41.7 +/− 16.9 | 41.5 +/− 16.8 | NS |
Male donor, n (%) | 2,678 (58.8) | 32,904 (58.9) | NS |
African American donor, n (%) | 803 (17.6) | 9,120 (16.3) | 0.023 |
Anoxic cause of death, n (%) | 969 (21.3) | 10,289 (18.4) | <0.001 |
Cerebrovascular attack as cause of death, n (%) | 1,786 (39.3) | 22,315 (40.0) | NS |
Regional organ sharing, n (%) | 924 (20.3) | 11,704 (21.0) | NS |
National organ sharing, n (%) | 210 (4.6) | 2,683 (4.8) | NS |
CMV donor positivity n (%) | 2,860 (65.5) | 35,000 (65.5) | NS |
DRI, mean | 1.77 +/− 0.40 | 1.78 +/− 0.40 | NS |
High-risk donor (DRI > 1.7), n (%) | 2,250 (49.4) | 27,634 (49.5) | NS |
Macrovesicular fat content of donor liver, mean percent | 8.3 +/− 11.7 | 8.5 +/− 12.1 | NS |
Surgical characteristics | |||
Heparin use at cross clamp, n (%) | 4,091 (89.8) | 47,372 (84.8) | <0.001 |
DDAVP use, n (%) | 66 (1.5) | 396 (0.7) | <0.001 |
CIT, mean hours | 6.95 +/− 3.34 | 6.81 +/− 3.43 | 0.015 |
BMI=Body mass index; CI=Confidence interval; CIT=Cold ischemia time;
CMV=Cytomegalovirus; DRI=Donor risk index; DDAVP=Desmopressin; HE=Hepatic encephalopathy; HCC=Hepatocellular carcinoma; INR=International normalized ratio; NASH=Non-alcoholic steatohepatitis; NS=Not significant; PVT=Portal vein thrombosis
Table 2.
High-risk Donor (n=29,884) | Low-risk Donor (n=30,520) | p-value | |
---|---|---|---|
Recipient Characteristics | |||
Age at transplant, mean years | 54.4 +/− 10.1 | 53.4 +/− 10.2 | <0.001 |
Male gender, n (%) | 19,291 (64.6) | 21,250 (69.6) | <0.001 |
African American race, n (%) | 2,681 (9.0) | 3,176 (10.4) | <0.001 |
Diabetes, n (%) | 7,151 (23.9) | 6,965 (22.8) | 0.001 |
On dialysis at transplantation, n (%) | 2,476 (8.3) | 3,856 (12.6) | <0.001 |
BMI, mean kg/m2 | 27.0 +/− 5.66 | 28.4 +/− 5.66 | <0.001 |
Etiology of liver disease, n (%) | |||
Alcoholic liver disease | 3,578 (12.0) | 3,514 (11.5) | NS |
Autoimmune disease | 726 (2.4) | 781 (2.6) | NS |
Cholestatic disease | 2,530 (8.5) | 1,925 (6.3) | <0.001 |
Hepatitis B | 648 (2.2) | 628 (2.1) | NS |
Hepatitis C | 8,279 (27.7) | 9,719 (31.8) | <0.001 |
NASH | 3,584 (12.0) | 3,268 (10.7) | <0.001 |
Other | 10,539 (35.3) | 10,685 (35.0) | NS |
Severity of Liver Disease | |||
MELD score at transplantation, mean | 20.3 +/− 10.0 | 22.1 +/− 10.6 | <0.001 |
HCC, n (%) | 6,688 (22.4) | 6,652 (21.8) | NS |
PVT, n (%) | 2,250 (7.5) | 2,305 (7.6) | NS |
Ascites grade > 2 at transplant, n (%) | 8,041 (26.9) | 6,957 (29.4) | <0.001 |
HE > 2 at transplant, n (%) | 3,065 (10.3) | 3,534 (11.6) | <0.001 |
Laboratory values | |||
Serum bilirubin, mg/dL, mean | 7.33 +/− 9.97 | 8.57 +/− 11.20 | <0.001 |
INR, mean | 1.83 +/− 1.23 | 1.92 +/− 1.28 | <0.001 |
Serum albumin, g/dL, mean | 3.04 +/− 0.72 | 3.01 +/− 0.73 | <0.001 |
Creatinine, g/dL, mean | 1.45 +/− 1.24 | 1.64 +/− 1.48 | <0.001 |
Serum sodium, mEq/L, mean | 136.1 +/− 5.20 | 136.1 +/− 5.20 | NS |
Donor characteristics | |||
Age donor, mean years | 52.5 +/− 14.5 | 30.9 +/− 11.1 | <0.001 |
Male donor, n (%) | 14,043 (47.0) | 21,539 (70.6) | <0.001 |
African American donor, n (%) | 5,346 (17.9) | 4,577 (15.0) | <0.001 |
Anoxic cause of death, n (%) | 3,447 (11.5) | 7,811 (25.6) | <0.001 |
Cerebrovascular attack as cause of death, n (%) | 17,078 (57.2) | 7,023 (23.0) | <0.001 |
Regional organ sharing, n (%) | 7,744 (25.9) | 4,884 (16.0) | <0.001 |
National organ sharing, n (%) | 2,756 (9.2) | 137 (0.5) | <0.001 |
CMV donor positivity n (%) | 19,507 (71.0) | 18,353 (60.6) | <0.001 |
Macrovesicular fat content of donor liver, mean percent | 8.54 +/− 11.88 | 8.41 +/− 12.43 | NS |
Surgical characteristics | |||
Heparin use at cross clamp, n (%) | 24,453 (81.8) | 27,010 (88.5) | <0.001 |
DDAVP use, n (%) | 5,526 (18.5) | 7,321 (24.0) | <0.001 |
CIT, mean hours | 7.18 +/− 4.08 | 6.48 +/− 2.58 | <0.001 |
BMI=Body mass index; CI=Confidence interval; CIT=Cold ischemia time;
CMV=Cytomegalovirus; DRI=Donor risk index; DDAVP=Desmopressin; HE=Hepatic encephalopathy; HCC=Hepatocellular carcinoma; INR=International normalized ratio; NASH=Non-alcoholic steatohepatitis; NS=Not significant; PVT=Portal vein thrombosis
In comparing recipients receiving HRD versus SRD organs, several notable differences were observed in baseline characteristics. Candidates who received an organ from a HRD were less likely to be male (64.6% versus 69.6%, p<0.001), be on dialysis at the time of liver transplantation (8.3% versus 12.6%, p<0.001), have underlying chronic HCV (27.7% versus 31.8%, p<0.001), have lower mean BMI (27.0 +/− 5.66 kg/m2 versus 28.4 +/− 10.2 kg/m2, p<0.001), and have lower mean MELD scores (20.3 +/− 10.0 versus 22.1 +/− 10.6, p<0.001) at transplantation with corresponding differences in the individual MELD covariates (serum bilirubin 7.33 +/− 9.97 mg/dL versus 8.57 +/− 11.2 mg/dL, p<0.001; INR 1.83 +/− 1.23 versus 1.92 +/− 1.28, p<0.001; creatinine 1.45 +/− 1.24 g/dL versus 1.64 +/− 1.48 g/dL, p<0.001). Interestingly, the HRD group had a lower rate of anoxic donor death (11.5% versus 25.6%, p<0.001). Heparin use at aortic cross-clamp was less likely as well (81.8% versus 88.5%, p<0.001) as was DDAVP use (18.5% versus 24.0%, p<0.001). HRD organ recipients were more likely to receive organs from older donors (mean age 52.5 +/− 14.5 years versus 30.9 +/− 11.1 years, p<0.001), female donors (53.0% versus 29.4%, p<0.001), donors with a cerebrovascular attack as the cause of death (57.2% versus 23.0%, p<0.001), organ sharing both regionally (25.9% versus 16.0%, p<0.001) and nationally (9.2% versus 0.5%, p<0.001) and longer CIT (7.18 +/− 4.08 hours versus 6.48 +/− 2.58 hours, p<0.001). CMV donor positivity was also more common in the HRD organ recipients (71.0% versus 60.6%, p<0.001).
Multivariable regression analysis (Table 3) of risk factors for HAT with resultant graft loss within 90 days of liver transplantation demonstrated that in the presence of pre-transplantation PVT, using an organ from a HRD was statistically significantly associated with increased risk of post-transplantation HAT with OR 3.56, 95% CI 2.52–5.012 p<0.001. Recipients with pre-transplantation PVT who received an organ from a SRD still had an increased odds of post-transplantation HAT (OR 2.25, 95% CI 1.48–3.42, p<0.001) as did recipients without pre-transplantation PVT who received a HRD organ (OR 1.71, 95% CI 1.36–2.14, p<0.001). Other factors protective against HAT included creatinine values at transplantation (OR 0.91, 95% CI 0.83–0.99, p=0.035), heparin use at cross-clamp (OR 0.61, 95% CI 0.47–0.79, p<0.001), INR values at transplantation (OR 0.87, 95% CI 0.76–0.98, p=0.027) and receiving an organ from a male donor (OR 0.53, 95% CI 0.44–0.64, p<0.001). These recipient, surgical and donor factors were all independently associated with a lower risk of HAT and early graft loss. While significant on univariate analysis, diabetes was not found to be independently predictive with multivariable regression modeling (OR 0.88, 95% CI 0.68–1.14, p=0.318). Recipient age at transplantation was statistically significant on both univariate and multivariable analysis and for each year of age a recipient’s risk of HAT decreased by 2% (OR 0.98, 95% CI 0.97–0.99, p<0.001).
Table 3.
Univariate analysis (OR, 95% CI) | Multivariable analysis (OR, 95% CI) | p-values for multivariable model | |
---|---|---|---|
| |||
Recipient Characteristics | |||
| |||
Age at transplant, mean years | 0.98 (0.98–0.99) | 0.98 (0.97–0.99) | 0.001 |
| |||
Male gender | 0.94 (0.79–1.11) | ||
| |||
African American race | 1.05 (0.81–1.36) | ||
| |||
Diabetes | 0.78 (0.64–0.95) | 0.88 (0.68–1.14) | 0.318 |
| |||
On dialysis at transplantation | 0.79 (0.60–1.04) | ||
| |||
BMI, mean kg/m2 | 1.01 (0.99–1.02) | ||
| |||
Etiology of liver disease | |||
| |||
Alcoholic liver disease | 0.91 (0.70–1.17) | ||
| |||
Autoimmune disease | 1.37 (0.85–2.12) | ||
| |||
Cholestatic disease | 1.24 (0.94–1.64) | ||
| |||
Hepatitis B | 1.07 (0.63–1.82) | ||
| |||
Hepatitis C | 0.97 (0.82–1.16) | ||
| |||
NASH | 1.14 (0.90–1.44) | ||
| |||
Severity of Liver Disease | |||
| |||
HCC | 0.82 (0.67–1.01) | ||
| |||
Ascites grade > 2 at transplant | 0.90 (0.85–1.07) | ||
| |||
HE > 2 at transplant | 1.08 (0.85–1.39) | ||
| |||
Laboratory values | |||
| |||
Serum bilirubin, mg/dL | 0.99 (0.98–1.00) | ||
| |||
INR | 0.88 (0.79–0.97) | 0.87 (0.76–0.98) | 0.027 |
| |||
Serum albumin, g/dL | 0.97 (0.87–1.08) | ||
| |||
Creatinine, g/dL | 0.92 (0.86–0.98) | 0.91 (0.83–0.99) | 0.035 |
| |||
Serum sodium, mEq/L | 0.99 (0.98–1.01) | ||
| |||
Donor characteristics | |||
| |||
Male donor | 0.52 (0.45–0.61) | 0.53 (0.44–0.64) | <0.001 |
| |||
High DRI | 1.99 (1.69–2.35) | --- | |
| |||
Macrovesicular fat content of donor liver | 1.00 (0.96–1.01) | ||
| |||
Surgical characteristics | |||
| |||
Heparin use at cross clamp | 0.52 (0.43–0.63) | 0.61 (0.47–0.79) | 0.002 |
| |||
DDAVP use | 0.90 (0.74–1.10) | ||
| |||
Thrombosis | |||
| |||
PVT and HRD# | 3.84 (2.83–5.21) | 3.56 (2.52–5.02) | <0.001 |
No PVT and HRD# | 2.00 (1.67–2.39) | 2.25 (1.49–3.42) | <0.001 |
PVT and SRD# | 1.95 (1.32–2.89) | 1.71 (1.36–2.15) | <0.001 |
PVT | 1.93 (1.53–2.43) | --- |
BMI=Body mass index; CI=Confidence interval; CIT=Cold ischemia time;
CMV=Cytomegalovirus; DRI=Donor risk index; DDAVP=Desmopressin; HE=Hepatic encephalopathy; HCC=Hepatocellular carcinoma; HRD=High-risk donor (DRI>1.7); INR=International normalized ratio; NASH=Non-alcoholic steatohepatitis; NS=Not significant; PVT=Portal vein thrombosis; SRD=Standard-risk donor (DRI≤1.7)
compared to reference group of no PVT and NRD
Final variables included in the logistic regression model included recipient age at transplantation, gender, BMI, African American race, diabetes, HCC, HCV, cholestatic liver disease, autoimmune hepatitis, encephalopathy (which was divided into those with encephalopathy score >2), ascites (similarly divided by score > 2), laboratories at transplantation (INR, bilirubin, creatinine, albumin, sodium), PVT], operative (heparin use at cross clamp, and donor factors (age, gender, HRD, DDAVP). Interaction terms for PVT and HRD, HCV and donor age, NASH and BMI and NASH and diabetes were included in the final model. Possible covariates for the PVT-HRD interaction variable included PVT with HRD, no PVT with HRD, as well as PVT with SRD.
DISCUSSION
Based on a large U.S. based national liver transplantation database and after adjusting for known donor, recipient and surgical risk factors, we have found that liver transplant recipients with pre-transplant PVT who receive an organ from a HRD (DRI > 1.7) are at increased odds of post-transplantation HAT. These findings lend credence to the consideration of more than just surgical technique and CIT in determining a recipient’s risk for HAT, especially in the setting of pre-transplantation coagulation abnormalities, including PVT, which by itself is associated with higher rates of primary graft nonfunction and re-transplantation.[16] With the increasing utilization of HRDs to meet the organ supply and demand issue,[28] it appears we can expect more issues with early graft loss from post-transplantation thrombosis and we would suggest this patient population as a potential target recipient for more aggressive post-operative care and prevention, certainly in the presence of pre-transplantation venothromboembolic disease.
Our findings also raise the question of what is the most appropriate pre-, peri- and postoperative management strategy for anticoagulation? Efficacy data on routine administration of antiplatelet agents (namely aspirin) for the prevention of post-operative HAT is mixed and complicated by retrospective study limitations including varying time definitions of early and late HAT; however, aspirin does appear safe as bleeding events are generally infrequent.[29–31] We are unaware of any studies looking at dual antiplatelet therapy as prophylaxis. Our Coagulation in Liver Disease Study Group recently published a series of 39 patients with cirrhosis comparing the safety of utilizing direct oral anticoagulants (DOAC) (factor Xa inhibitors apixiban and rivaroxaban) to traditional anticoagulants warfarin and low-molecular weight heparin (LMWH) and found similar safety profiles in terms of bleeding and no episodes of drug-induced liver injury.[32] The bleeding rate of 5% with DOAC and the absence of fatal bleeding was similar to the pooled incidence from a recent meta-analysis of 16 studies by Qi et al. who found a pooled rate of 3.3% for LMWH or warfarin use, 95% CI 1.1–6.7%.[33] The widespread use of DOACs may be limited by the lack of currently available reversal agents, although a recent study randomized placebo-controlled study of 101 healthy older adults, none of whom had liver disease, by Siegal et al[34] utilizing intravenous andexanet alpha holds promise. While the exact role of DOACs in the management of peri-operative coagulopathy unique to liver transplantation recipients has yet to be firmly established, these data are nonetheless promising and provide a starting point for future prospective study. Given that there are significant hemostatic abnormalities in the peri- and post-operative periods that may interact to create a hypercoagulable milieu[35] it seems that DOAC use in recipients at high-risk for post-transplantation thrombotic complications could be considered at least until the coagulability equilibrium shifts away from a pro-thrombotic state, the timing of which could be aided by the routine use of post-transplantation thromboelastrography (TEG), a method for determining the real-time viscous and elastic properties of blood and blood clot.
While PVT is a common complication in patients with cirrhosis[13, 14] and is associated with both increased hepatic decompensation and mortality, [15] prospective studies with a direct comparator group examining both pharmacologic prevention and treatment of PVT is lacking and consensus guidelines on pre-operative management of PVT have yet to be disseminated. Nonetheless, several unblinded single center studies have found both regression of liver disease with mitigation of portal hypertensive complications as well as a long-term survival benefit with either daily prophylactic (the equivalent of 40mg/day) [36] or therapeutic dosing (1 mg/kg every twelve hours or 1.5mg/kg daily) [37] of low molecular weight heparin. Following these studies, multi-center investigation of the safety and efficacy of prevention of PVT with pharmacologic anticoagulation is currently underway with anticipated results within the next five years.
A recent multi-center Canadian experience with 118 liver transplant recipients published by Seal et al[38] found that intraoperative use of tissue plasminogen activator (tPA) directly into the donor hepatic artery either before hepatic artery anastomosis or portal vein anastomosis (5–10 minutes before portal reperfusion) reduced complications from ischemic biliary strictures and led to superior one- and three-year overall and graft survival rates in recipients receiving DCD organs and significantly lower re-transplantation rates in the absence of increased bleeding. While the authors did not look specifically at HAT and others have argued that the inherent profound activation of fibrinolysis with withdrawal of life support is enough to prevent significant downstream ischemic thrombotic biliary complications,[39] these findings are nonetheless thought provoking given that no deaths or graft loss was attributable to HAT in the tPA group. These findings combined with our findings that intraoperative administration of heparin at the time of aortic cross-clamping is associated with a lower risk of HAT, lend importance to further consideration of perioperative anticoagulation when using organs from HRDs.
Our study has several weaknesses worth noting. Despite aggressive verification by auditors and data technicians, large datasets are dependent on diagnostic coding accuracy to preclude induction of information bias and also suffer from bias due to missing data, and the OPTN/UNOS database is no exception to this rule.[40] Our method of handling the missing data provided similar incidence rates of HAT when compared to those published by other study groups who utilized the UNOS database to investigate HAT. The OPTN/UNOS database also does not contain information on pre-operative anticoagulant use nor does it provide information on inherited thrombophilia testing. However, previous study has found the incidence of inherited thrombophilia to be similar when comparing recipients who experience post transplantation HAT to those who do not.[1] The database also does not contain a description of the extent of pre-transplantation PVT, including which specific vessels are involved and whether or not the clot is partial or complete nor does it contain information regarding the method of surgical reconstruction including arterial reconstruction which is arguably the most technically challenging aspect of liver transplant surgery and has been implicated in post-transplantation complications including HAT.[5, 6, 41–44] Information on the extent of hepatic hilar manipulation during portal vein reconstruction is also lacking. This may predispose to hepatic artery injury or rethrombosis of the portomesenteric veins.[45] Interestingly, a recent single center experience of ten patients with grade four PVT suggests that intraoperative renoportal bypass combined with direct measurements of portal vein and hepatic artery flow may be used successfully to mitigate post-transplantation complications including primary graft non-function and mortality associated with pre-transplantation PVT.[46] Creating renoportal or cavoportal anastomoses in transplant recipients with pre-transplantation PVT may also decrease the risk of post-transplantation vascular complications.[47]
Conclusions
Liver transplant candidates with pre-transplant PVT who receive an organ from a HRD are at the highest risk for post-operative HAT independent of other measurable recipient, surgical and donor factors. Utilizing a DRI cutoff of 1.7 in order to prevent post-operative vascular thrombotic complications may be useful. Recipients with pre-transplant PVT would benefit from careful donor selection and consideration of aggressive perioperative anticoagulation to improve patient centered outcomes.
Acknowledgments
Financial support: Research reported in this publication was supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award number T32DK007769.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
This work was supported in part by Health Resources and Services Administration contract 234-2005-370011C. The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.
Abbreviations
- BMI
body mass index
- CIT
cold ischemia time
- CMV
cytomegalovirus
- DCD
donation after cardiac death
- DDAVP
desmopressin
- DOAC
direct oral anticoagulant
- DRI
donor risk index
- HAT
hepatic artery thrombosis
- HRD
high-risk donor
- HCC
hepatocellular carcinoma
- HCV
hepatitis C virus
- INR
international normalized ratio
- LT
liver transplant
- NASH
non-alcoholic steatohepatitis
- OPTN
organ procurement and transplantation network
- PVT
portal vein thrombosis
- TEG
thromboelastrography
- TIPS
transjugular intrahepatic portosystemic shunt
- TPA
tissue plasminogen activator
- UNOS
united network for organ sharing
Footnotes
Meeting: This research was presented as a podium presentation at AASLD section of Digestive Diseases Week 2016, San Diego, CA
This research was also presented as a podium presentation at the Young Investigators Forum during the Controversies in Transplantation Conference, 2016, Breckenridge, CO
Conflicts of interest/disclosures: The authors of this manuscript have no conflicts of interest to disclose.
Authorship statement: All authors participated in the listed roles below.
JS- planning/conducting study, collecting and/or interpreting data, drafting manuscript, final approval
SP- drafting manuscript, final approval
CA- drafting manuscript, final approval
DM- drafting manuscript, final approval
PN- planning/conducting study, collecting and/or interpreting data, drafting manuscript, final approval
Guarantor of the article: Patrick G. Northup MD MHS
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