Recipient Factors (recipient + factor)

Distribution by Scientific Domains


Selected Abstracts


Primary Nonfunction (PNF) in the MELD Era: An SRTR Database Analysis

AMERICAN JOURNAL OF TRANSPLANTATION, Issue 4 2007
S.R. Johnson
PNF following liver transplantation (LT) is an infrequent but life-threatening complication. Liver allocation under MELD is based upon recipient severity of illness, a known risk factor for the occurrence of PNF. The incidence of PNF since the application of MELD has not previously been reported. The SRTR database was studied since inception of MELD until September 2004 for all adult recipients of deceased donor LT. PNF was defined as graft loss or death within 14 days of LT secondary to PNF or without defined cause. A total of 10545 transplants met inclusion criteria and PNF occurred in 613 (5.81%) of recipients. Univariate analysis demonstrated donor age, serum creatinine >1.5 mg/mL, hypertension and CVA as risk factors for PNF. Recipient factors included life support, mechanical ventilation, use of inotropes, hemodialysis, initial status 1 and use of a shared transplant. In the multivariate model only donor age and recipient serum creatinine, bilirubin, on life support and status 1 at transplant were significant risk factors for PNF. In this analysis of PNF in the MELD era the incidence of PNF does not appear to have increased from prior reports. Risk factors for PNF are related to donor age and severity of recipient illness. [source]


Outcomes following liver transplantation for seronegative acute liver failure: Experience during a 12-year period with more than 100 patients

LIVER TRANSPLANTATION, Issue 1 2005
Alan J. Wigg
Seronegative hepatitis is a common cause of acute liver failure (ALF) requiring liver transplantation. The primary aim of this study was to examine outcomes following transplantation in this group and to identify factors associated with early (<2 months) mortality. Patients studied were 110 consecutive cases of seronegative ALF transplanted at the Queen Elizabeth Hospital, Birmingham, between January 1992 and January 2004. Univariate analysis of 44 pretransplantation recipient, donor, and operative variables was performed initially to identify factors associated with early posttransplantation mortality. Variables identified as significant or approaching significance were analyzed using stepwise multiple logistic regression analysis. Survival following transplantation for seronegative hepatitis was 83%, 81%, and 73% at 2, 12, and 60 months, respectively. The majority (71%) of deaths occurred within the 1st 2 months and sepsis / multiorgan dysfunction was the most common cause of early death. Univariate analysis revealed 9 variables predicting early death. Subsequent multivariate analysis identified high donor body mass index (BMI; a possible surrogate marker for hepatic steatosis) as the most important predictor of early death (P = .009; odds ratio, 1.2; 95% confidence interval, 1.0-1.3). Recipient age >50 (P = .015; odds ratio, 4.2; 95% confidence interval, 1.3-14.1) and non-Caucasian recipient ethnicity (P = .015; odds ratio, 4.9; 95% confidence interval, 1.2-19.2) were other variables associated with early death on multivariate analysis. This study specifically examined factors that determine the early outcome of transplanted seronegative ALF patients. In conclusion, we found that donor and recipient factors identify patients who have a high chance of early death after transplantation. (Liver Transpl 2005;11:27,34.) [source]


Recurrent Primary Biliary Cirrhosis After Liver Transplantation

AMERICAN JOURNAL OF TRANSPLANTATION, Issue 4 2010
M. G. Silveira
Recurrent primary biliary cirrhosis (PBC) is an important clinical outcome after liver transplantation (LT) in selected patients. Prevalence rates for recurrent PBC (rPBC) reported by individual LT programs range between 9% and 35%. The diagnostic hallmark of rPBC is histologic identification of granulomatous changes. Clinical and biochemical features are frequently absent with rPBC and cannot be used alone for diagnostic purposes. Some of the risk factors of rPBC may include recipient factors such as age, gender, HLA status and immunosuppression, as well as donor factors such as age, gender and ischemic time, although controversy exists. Most patients have early stage disease at the time of diagnosis, and there may be a role for therapy with ursodeoxycholic acid. While short- and medium-term outcomes remain favorable, especially if compared to patients transplanted for other indications, continued follow-up may identify reduced long-term graft and patient survival. [source]


Survival Outcomes Following Liver Transplantation (SOFT) Score: A Novel Method to Predict Patient Survival Following Liver Transplantation

AMERICAN JOURNAL OF TRANSPLANTATION, Issue 12 2008
A. Rana
It is critical to balance waitlist mortality against posttransplant mortality. Our objective was to devise a scoring system that predicts recipient survival at 3 months following liver transplantation to complement MELD-predicted waitlist mortality. Univariate and multivariate analysis on 21 673 liver transplant recipients identified independent recipient and donor risk factors for posttransplant mortality. A retrospective analysis conducted on 30 321 waitlisted candidates reevaluated the predictive ability of the Model for End-Stage Liver Disease (MELD) score. We identified 13 recipient factors, 4 donor factors and 2 operative factors (warm and cold ischemia) as significant predictors of recipient mortality following liver transplantation at 3 months. The Survival Outcomes Following Liver Transplant (SOFT) Score utilized 18 risk factors (excluding warm ischemia) to successfully predict 3-month recipient survival following liver transplantation. This analysis represents a study of waitlisted candidates and transplant recipients of liver allografts after the MELD score was implemented. Unlike MELD, the SOFT score can accurately predict 3-month survival following liver transplantation. The most significant risk factors were previous transplantation and life support pretransplant. The SOFT score can help clinicians determine in real time which candidates should be transplanted with which allografts. Combined with MELD, SOFT can better quantify survival benefit for individual transplant procedures. [source]


Improving Outcomes of Liver Retransplantation: An Analysis of Trends and the Impact of Hepatitis C Infection

AMERICAN JOURNAL OF TRANSPLANTATION, Issue 2 2008
M. Ghabril
Retransplantation (RT) in Hepatitis C (HCV) patients remains controversial. Aims: To study trends in RT and evaluate the impact of HCV status in the context of a comprehensive recipient and donor risk assessment. The UNOS database between 1994 and October 2005 was utilized to analyze 46 982 LT and RT. Graft and patient survival along with patient and donor characteristics were compared for 2283 RT performed in HCV and non-HCV patients during 1994,1997, 1998,2001 and 2002,October 2005. Overall HCV prevalence at RT increased from 36% in the initial period to 40.6% after 2002. In our study group, 1-year patient and graft survival post-RT improved over the same time intervals from 65.0% to 70.7% and 54.87% to 65.8%, respectively. HCV was only associated with decreased patient and graft survival with a retransplant (LT-RT) interval (RI) >90 days. Independent predictors of mortality for RT with RI >90 days were patient age, MELD score >25, RI <1 year, warm ischemia time ,75 min and donor age ,60 (significant for HCV patients only). Outcomes of RT are improving, but can be optimized by weighing recipient factors, anticipation of operative factors and donor selection. [source]