donor risk index-liver graft survival association in patients over 18 years of age in argentina...
DESCRIPTION
Introduction An analysis must be conducted to define the potential effect of certain features of the donor on graft survival. The Risk Index in Cadaveric Donors (RICD) was designed based on this idea.TRANSCRIPT
DONOR RISK INDEX-LIVER GRAFT DONOR RISK INDEX-LIVER GRAFT SURVIVAL ASSOCIATION IN PATIENTS SURVIVAL ASSOCIATION IN PATIENTS
OVER 18 YEARS OF AGE IN OVER 18 YEARS OF AGE IN ARGENTINAARGENTINA
Bisigniano Liliana MD., López-Rivera Arturo MD., Tagliafichi Viviana, Fernández Víctor J MD., Soratti Carlos A MD.
Introduction
• Due to the larger number of patients waiting for a liver transplant, the limits for the use of organs available have been expanded worldwide.
• The donor risk index (DRI) uses donor variables proven to be associated with graft survival in liver transplantation in patients over 18.
Introduction
An analysis must be conducted to define the potential effect of certain features of the
donor on graft survival. The Risk Index in Cadaveric Donors (RICD)
was designed based on this idea.
Objective
To assess, by means of an adequate statistical analysis, whether the RICD is an independent predictor of liver graft survival
To analyze the association between the donor risk index score and graft survival en liver transplantation in patients over 18 years of age in Argentina.
Materials & Methods
• The information was obtained from the SINTRA for the period July 2005 to December 2010
• Multiorgan transplants were excluded
• The statistical packages used were MedCal version 10.3.2.0 and SPSS version 17.
Materials & Methods
We estimated the graft survival at 30 days, 1 and 5 years using the nonparametric Kaplan-Meier method.By using the Cox regression model, the relationship of the DRI with graft survival adjusted for the following variables of the recipient was studied:
INDEPENDET VARIABLESAge
BMI (>18.5,<25,<30,>30)Etiology of liver failure
Blood type compatibility
Materials & Methods
Graft survival at 30 days, 1 and 5 years usingthe nonparametric Kaplan-Meier method. By using the Cox regression model:relationship of the DRI with graft survival adjusted for the followingvariables of the recipient:
BMI (>18.5,<25,<30,>30), etiology of liver failure, blood type compatibility
The clinical condition was not used (only 4 patients in emergency.
Materials & Methods
DONOR RISK INDEX
AGE <40-<50 <50-<60 <60-<70 >70
CAUSE OF DEATH ANOXIA STROKE ≠ HEAD TRAUMA
RACE BLACK ≠ Caucasian
CARDIAC ARREST Yes No
SPLIT Yes No
ALLOCATION National Regional
CIT < 8hours > 8hours
DRI values were coded into 6 categories
No values between 0 and 1.2
1 1.2-1.42 1.4-1.53 1.5-1.64 1.6-1.85 1.8-2.06 >2.0
Results
RECIPIENT MEAN AGE 51.04+ 12.72 YEARS
GRAFT ER
30 days 86.1% 0.0108
1 year 77.4% 0.0138
5 years 58.1% 0.297
1116 transplant procedures were performed
Results Survival curve
0 2 4 6 8 10 12 14
100
90
80
70
60
50
40
30
20
10
0
Follow up time in years
Sur
viva
l pro
babi
lity
(%)
Number at risk1501 898 562 341 207 90 21 1
30 days 1 year 5 years86.1% 77.4% 58.1%
Results
HR CI 95% pCategory 2 1.04 0.63-1.72 0.883Category 3 1.10 0.64-1.89 0.98Category 4 0.98 0.57-1.70 0.984Category 5 0.99 0.57-1.70 0.984Category 6 0.86 0.50-1.46 0.563
We evaluated the association of each of the categories of DRI with graft survival adjusted according to the rest of the variables by using the Cox regression model.
All the categories were compared vs category 1
Conclusions
• The scores of the DRI have no association with graft survival in liver transplantation in patients over 18 years of age in the Argentine population.
• Studies to design a DRI with data from the Argentine donors should be performed.