Task Force HLA Working Group HLA Working Group Membership CoChairs Susan Fuggle David Turner HampI Members Richard B attle M artin Barnardo D avid Briggs Derek Middleton Tracey Rees Craig Taylor Bob Vaughan ID: 934168
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Slide1
2015
Kidney Allocation
Task
Force
HLA
Working Group
Slide2HLA Working Group
Membership
Co-Chairs
Susan Fuggle, David Turner
H&I Members
Richard
B
attle,
M
artin Barnardo,
D
avid Briggs, Derek Middleton, Tracey Rees, Craig Taylor, Bob Vaughan
Clinical Members
Sian Griffin, Vasilis
Kosmoliaptsis
, Nizam Mamode,
C
armelo
Puliatti
, Nick
Torpey
, Chris Watson
NHSBT Statistics and Scientific Support
Lisa Bradbury, Chloe Brown,
Rachel
Johnson, Laura Pankhurst, Linda
Shelper
Terms of Reference
Is the current HLA typing repertoire and resolution appropriate?
What
would be the consequences of a change in typing repertoire in terms of complexity and cost of donor/recipient HLA
typing?
Are the current HLA matching criteria appropriate?
Is there a role for epitope matching (to minimise antibody formation)?
How should unacceptable specificities be listed and used in allocation?
Slide4Terms of Reference
Is the current HLA typing repertoire and resolution appropriate?
What
would be the consequences of a change in typing repertoire in terms of complexity and cost of donor/recipient HLA
typing?
Are the current HLA matching criteria appropriate?
Is there a role for epitope matching (to minimise antibody formation)?
How should unacceptable specificities be listed and used in allocation?
Slide5Repertoire and Resolution of HLA typing
Required repertoire agreed for 2006 NKAS
Currently includes:
HLA-A,B,C,DR,DQ
Intermediate level of resolution
Clinical requirement for donor HLA-DP typing to ensure efficient organ allocation
Patients have registered unacceptable HLA-DP specificities
Agreed
by KAG, but not currently funded
Slide6Positive crossmatches:
2010-15
Year
Kidneys Allocated
Positive crossmatch
n=
%
2010
976
36
3.7
2011
938
26
2.7
2012
956
23
2.4
2013
1138
25
2.2
2014
1180
24
2.0
2015
1112
16
1.4
Total
6300
150
2.4
Slide7Reasons for
a Positive Crossmatch:
2010-15
n=150
5%
5%
1%
2%
3%
54/150 (36%)
+
ve
crossmatches caused by
specificities, DP, DQA and some DR alleles,
outside the required minimum
resolution
Slide8Repertoire and Resolution of HLA typing
Living Donor Kidney Sharing Scheme
Donors HLA-DP typed, taken into account in the algorithm
Laboratories are typing deceased donors for HLA-DP, because of the recognised clinical need
about 80% donors routinely typed
Not currently used in allocation
Slide9Repertoire and Resolution of HLA typing
Working group recommend repertoire
and resolution
of donor HLA typing should
be
extended
Details of resolution to be
agreed
Resource implications to be discussed
Slide10Terms of Reference
Is the current HLA typing repertoire and resolution appropriate?
What
would be the consequences of a change in typing repertoire in terms of complexity and cost of donor/recipient HLA
typing?
Are the current HLA matching criteria appropriate?
Is there a role for epitope matching (to minimise antibody formation)?
How should unacceptable specificities be listed and used in allocation?
Slide11Current HLA matching criteria
Working group exploring:I
nfluence of HLA matching on transplant outcome
Broad matching as current algorithm e.g. DR1-DR9
Matching at the HLA split level
e.g
HLA-DR1-18
I
ncorporation of additional loci- HLA-C and DQ
Matching for HLA epitopes
Immunogenicity of epitopes
Vasilis
Kosmoliaptsis
, Craig TaylorConsidering defaulting of rare HLA specificities
Slide12Cohort
1 year graft survival: 1 April 2009 – 31 March 2014
5 year graft survival: 1 April 2006
– 31 March 2010
Includes
DBD & DCD transplants
Includes
1
st
graft and re-graft kidney only transplants
Excludes incompatible transplants
Adult only transplants
Transplants in the UK
Slide13Cox Regression Modelling
Are the mismatched variables significant when added into a statistical model which allows for other known important factors in graft survival?
A Cox proportional hazards regression model was fitted, adjusting for
Recipient unit Dialysis status at registration
Primary renal disease (grouped) Financial year of transplant
Recipient gender CRF at transplant (grouped)
Recipient age CIT
hrs
(grouped)
Recipient blood group Donor age
Recipient ethnicity Donor type
The outcome variable was graft survival at 1 or 5
years.
Slide14Including failures in first 30 days
Excluding failures in first 30 days
Description
Level
1 year (09-14)
5 year (06-10)
1 year (09-14)
5 year (06-10)
HR
P
HR
P
HR
P
HR
P
Number of mismatches to
A
0
1.00
1.00
1.00
1.00
1 or 2
1.32
0.02
1.19
0.07
1.19
0.3
1.19
0.1
Number of mismatches to B01.001.001.001.001 or 21.730.00011.360.0021.790.0041.470.001 Number of mismatches to DR01.001.001.001.001 or 21.230.031.250.0081.030.81.240.03 Number of mismatches to DR/DQ0/01.001.001.001.000/1,21.110.61.130.51.310.31.080.71,2/01.070.61.130.30.900.61.060.71,2/1,21.360.0061.340.0021.180.31.350.007Number of mismatches to B/Cw0/01.001.001.001.000/1,21.860.021.320.11.100.81.110.61,2/02.360.00021.360.071.790.081.460.051,2/1,22.200.00011.560.00041.840.021.550.003
Cox Regression Modelling (1)
Slide15Including failures in first 30 days
Excluding failures in first 30 days
Description
Level
1 year (09-14)
5 year (06-10)
1 year (09-14)
5 year (06-10)
HR
P
HR
P
HR
P
HR
P
HLA Level
1
1.00
1.00
1.00
1.00
2
1.73
0.003
1.17
0.2
1.60
0.08
1.28
0.1
3
2.060.00011.490.0011.720.041.600.00241.890.011.450.081.750.11.640.04 Total mismatches01.001.001.001.001-31.730.011.370.031.410.31.350.084-62.250.00021.620.00081.640.11.590.0057-102.320.0021.940.0012.060.052.010.004Total mismatcheslinear1.110.00011.090.00011.100.011.100.0001Cox Regression Modelling (2)
Slide16Slide17Terms of Reference
Is the current HLA typing repertoire and resolution appropriate?
What
would be the consequences of a change in typing repertoire in terms of complexity and cost of donor/recipient HLA
typing?
Are the current HLA matching criteria appropriate?
Is there a role for epitope matching (to minimise antibody formation)?
How should unacceptable specificities be listed and used in allocation?
Slide18Role for
epitope matching (
to minimise antibody formation)
A
ntibody
formation post
Tx
is related to HLA
Ag mismatch/
epitope
load
Recent
papers show HLA Ab production associated with
number of HLA Ag MM (Kosmoliaptsis et al
, Kidney Int 2014; 86:1039) number of aa
MMnumber of eplet MM (
Kosmoliaptsis et al, AJT 2016)electrostatic MM
Questions:
analyses required to
inform
use in
allocation
f
easibility in
the near future
Slide19Terms of Reference
Is the current HLA typing repertoire and resolution appropriate?
What
would be the consequences of a change in typing repertoire in terms of complexity and cost of donor/recipient HLA
typing?
Are the current HLA matching criteria appropriate?
Is there a role for epitope matching (to minimise antibody formation)?
How should unacceptable specificities be listed and used in allocation?
Slide20Calculated Reaction Frequency
Number of patients
registered
Waiting time (days)
Median 95% CI
0-84%
7917
963
942 - 984
85-94%
344
1577
1487 - 1667
95-99%
377
2138
1870 – 2406
100%
164
2424
2072 – 2776
TOTAL
8802
1016
995 - 1037
Median wait to transplant for
adult patients
2½ years
6½ years
Slide21Sensitisation of long waiting
patients (>7yrs)
Transplanted: 1 Sep 14 – 31 Jan 2016
Waiting list: as at 1 Sep 2014 and 1 Feb 2016
Sensitisation
N= 147
N= 260
N= 319
95-98%
99%
100%
85-94%
0-84%
Slide22Median waiting time to transplant
Apr 06 - Mar 10
Slide23Initial Considerations
Current policy - level 4 mismatched kidneys [2DR or 2B, 1DR] are not allocated, limits access for HSP
Remove
HLA matching criteria for these
patients
Consider
cRF
% at which patients receive priority in the algorithm
Time from listing when patients receive priority
Scale of priority
Ensure suitable offers are accepted
Slide242015
Kidney Allocation Task
Force
HLA
Working
Group
work ongoing……