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SBTMO REUNIÃO EDUCACIONAL
REGIONAL
HIGHLIGHTS TANDEM 2018
UNRELATED DONORS
LUIS FERNANDO BOUZAS
Increase in annual number of transplants
performed in the US
2
Increase number of allogeneic
transplants in patients older than 60y
^Transplants for AML, ALL, NHL, Hodgkin Disease,
Multiple Myeloma9
Cost and Morbidity of Alternative
Donor OptionsMarcelo C Pasquini, MD, MS
BMT Tandem Meetings – 2018
WBMT Session
@mpasca
Current options – Universal Donor Era
11
HLA-matched
Sibling
Graft Type
Conditioning Intensity
Conditioning Type
GVHD Prophylaxis
UCB
Cell Dose
HLA matching
Conditioning Intensity
Conditioning Type
GVHD Prophylaxis
Unrelated
HLA matching
Gender, ABO, CMV, HLA DP
Graft Type
Conditioning Intensity
Conditioning Type
GVHD Prophylaxis
Related
Sib, parents, children
Graft Type
Conditioning Intensity
Conditioning Type
GVHD Prophylaxis
Transplant Options – Not Applicable to all
12
Regional
Center
Patient
Have we reached the HCT Promised
Land? No…
• Despite improvements in supportive care, transplant recipients are at risk of significant and life long complications.
• HCT in US had the highest increase of inpatient costs from 2004-2007* and continues to grow.
• Increase in cost of medications used in transplantation. – Conditioning chemotherapy shortages with more
expensive replacements
– New drugs use for supportive care and treatment of complications.
*AHRQ HCUP Stats Brief 82, Dec 2009 13
Date of download:
mm/dd/yyyy
Copyright © 2012 American Medical
Association. All rights reserved.Copyright © 2016 American Medical
Association. All rights reserved.
From: US Spending on Personal Health Care and Public Health, 1996-2013
JAMA. 2016;316(24):2627-2646. doi:10.1001/jama.2016.16885
Dangerous Combination of Factors
• Expanding number of transplant – increase
baseline costs Unsustainable model
• Transplant in the context of treatment of
cancer
– HCT is no longer the most expensive treatment…
Consequences:
• Increase in costs can limit access to
transplant.
15
Healthcare (or HCT) Costs – US
Direct Costs
Indirect CostsHOSPITAL/CENTER/
PROVIDERS
Charges
Adjudicated Costs
Total Costs
PATIENT
Margin
Negotiation
Deductibles, Out-of-pocket
Courtesy of Navneet S. Majhail, MD @BldCancerDoc
Costs of HCTUsing Hospital Billing Data
• Single center study (N=294), allogeneic HCT
• Costs from day -30 to +100 (excluding MD costs)
• Median costs by conditioning (excl graft acq)
- Myeloablative = $137,112
- Non-myeloablative = $84,824
• Median costs by graft source (excl graft acq)
- Umbilical cord blood = $137,564
- Sibling donor = $83,583
• Cost predictors
- HCT type, complications and length of hospital
stay
NS Majhail et al, Biol Blood Marrow Transplant, 2009
US HCT Median Costs using Claims
Database – 2010 -2013 (N=1,562)
Broder M. S et al American Health and Drug Benefits, October 2017 18
Costs: Pediatric > Adults HCT
Post Transplant Out of Pocket Expenses
• Costs involved with maintenance medications, visit, travel, lodging, among others.
• Variable co-payments plans in the US can result in costs close to $5,000 in the first few months of HCT.
• In the event of complications the costs are incremental (new medication, rehabilitation, other).
• Financial toxicity higher morbidity.
Farnia S et al BBMT 2017 19
SO
CIE
TY
Healthcare (or HCT) Costs – US
Direct Costs
Indirect CostsHOSPITAL/CENTER/
PROVIDERS
Charges
Adjudicated Costs
Total Costs
PATIENT
Margin
Negotiation
Deductibles, Out-of-pocket
Courtesy of Navneet S. Majhail, MD @BldCancerDoc
HCT Costs and the Tip of the Iceberg
Cliché
21
Added/Unpredictable CostsOverall Costs
Estimated Costs
Prolonged Hospitalization
ICU care
Out of pocket expenses
GVHD
Graft Failure
Relapse and treatment
Second Transplant
Cellular Therapies
Transplant procedure
Hospitalization
Standard medications
Haploidentical HCT Recipients in the
US, by Graft Type
22
Asad Bashey et al; JCO 2017, 35, 3002-3009.
PB vs. BM in Haplo with PtCY
Acute GVHD
Chronic GVHD
UCB vs. Haplo: Cost Considerations
UCB Haplo
Predictable
“extra” costs
Graft acquisition
Hospital LOS
Desensitization
for DSA
Unpredictable
“extra” costs
Graft failure
Complications,
GVHD
Graft failure
Complications,
GVHD
What is the solution(s)?
• Advance the field:
– Best option to a specific patient considering all
other center and regional factors.
– Minimize all expected morbidities
• Bring cost “front and center”
– Understand all determinants of costs.
– Include financial toxicity among complications
from therapy.
– This needs to influence clinical decision making.
25
Choosing Wisely for HCT
Don’t use PBSC for SAA when a BM donor is available
Don’t use > 2mg/kg/day methylpredinisolone (or equivalent) for initial aGVHD treatment
Don’t use 2 UCB for standard of care HCT when a single UCB is available
Don’t routinely use PBSC for MURD with MAC and standard GVHD prophy when a BM donor is available
Don’t routinely use IG replacement in adults after HCT in the absence of recurrent infections
Bhella S et al BBMT 2017 26
Conclusion
• Advances in the HCT field allow access to a larger number of patients.
• Increasing costs are an ongoing threat to access worldwide.
• Further reducing transplant related morbidities is critical to minimize livelong costs.
• Ongoing review of practices that reduce cost without impact on safety or effectiveness of HCT is really important for the field.
27
Acknowledgements
• Navneet Majhail, MD
• J. Doug Rizzo, MD
• Bronwen Shaw, MD
• Mary Eapen, MD
• Marcelo Pasquini, MD
28
How the best donor can improve outcomes of transplantation?
How can regional haplotype frequencies influence the success of finding the best Unrelated UCB or volunteer Donor?
Luis Fernando BouzasNational Cancer institute Brazil
Number of HLA Alleles – described 08/2013
http://www.ebi.ac.uk/ipd/imgt/hla/stats.html
Brazil► Continental country
► Geopolitically divided in 5 Regions by IBGE – Brazilian Institute of Geography and Statistics
North
Northeast
Central-west
Southeast
South
► Color/Race categories:
White
Brown (mestizos /mulatos)
Black
Yellow (East Asian phenotype)
Indigenous (Native American)
Brazilian Program - HSCT
• Etnic constitution of Brazilian population:
– Highly mixed
– Intense genetic diversity in the population
– Difficulty for compatible donor search.
Donors
Donors
Donors
PATIENTS
► REDOME – Volunteer Donor Registry
Established in 1993 at F. PróSangue / SP;
Transfered to INCA / Rio de Janeiro in 1999;
New administration after 2003/2004
► BrasilCord – Public CBB Network
Established in 2004
RENACORD – CBB Registry
►Banks + Cellular Processing/Criobiology Labs
► REREME – Receptors Registry
Established after 2006
0
500.000
1.000.000
1.500.000
2.000.000
2.500.000
3.000.000
3.500.000
4.000.000
4.500.000
0
100.000
200.000
300.000
400.000
500.000
600.000
700.000
800.000
Até1999
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Donors per year Total donors
Limit to free registration)
New administration
4.210.421
684.156
330.360
Probability to find a compatible donor (6x6) at
REDOME National patient in low resolution
0%
10%
20%
30%
40%
50%
60%
70%
80%
2002 2003 2004 2005 2006 2007 2008 2009
Ano
% d
e r
ecep
to
res c
om
6 x
6
PROBABILIDADE DE UM DOADOR IDÊNTICO
TAMANHO DO REGISTRO
Müller, CR
REDOME
Alemanha
Comparison w/ German Registry
2002 - 2009
REDOME and RENACORD Data Analisys
in order to supply donors for patients
included in REREME for URD search
Luis Fernando da Silva Bouzas
INSTITUTO NACIONAL DE CÂNCER
Post Graduation Programm in ONCOLOGY
2011 - 2014
Objectives
► The Registry Evolution after first 10 years
► Donor characteristics
► Capacity to supply donors for patients registered for URD search
► HLA Allele and Haplotype Frequencies Analisys
REDOME (volunteer donors)
REREME (receptors)
Method
► Comparison of Haplotypes frequencies REDOME (donors) x REREME (receptors);
► Most frequent alleles and haplotypes in the population and the rare present only in REREME (receptors);
► Evaluate the geografic Alleles and Haplotypes origin ---- plan the Brazilian Program and Registry growth;
► Actions to reduce the lack of a suitable unrelated donor for HSCT for all patients.
Analisys
Allelic Groups
►HLA – A (n=21)
►HLA – B (n=36)
►HLA – DRB1 (n=13)
Alleles HLA-A*02, A*24, HLA-B*44, B*35,
HLA-DRB1*01, DRB1*04, DRB1*07, DRB1*11, DRB1*13 e
DRB1*15
present in ALL Data Base, with Highest frequencies.
Most Frequent Alleles
ALELOS MAIS FREQUENTES (%)
Alelo REDOME RENACORD REREME
A*02 25,8% 25,7% 25,5%
A*24 9,9% 9,9% 10,1%
A*03 9,4% 9,2% 8,7%
A*01 9,1% 9,7% 9,1%
B*44 10,8% 10,8% 10,8%
B*35 12,3% 12,3% 11,4%
DRB1*01 10,2% 10,2% 9,6%
DRB1*04 11,9% 11,9% 12,7%
DRB1*07 12,9% 12,9% 12,8%
DRB1*11 14% 14% 12,1%
DRB1*13 14% 14% 12,8%
DRB1*15 9,7% 9,7% 10,9%
Less Frequent AllelesALELOS MENOS FREQUENTES (%)
Alelo REDOME RENACORD REREME
A*34 0,75% 0,6% 0,9%
A*36 0,53% 0,39% 0,6%
A*43 0% 0% 0,03%
A*66 0,9% 1,2% 1,1%
A*69 0,2% 0,3% 0,3%
A*80 0,2% 0,1% 0,2%
B*46 0,1% 0,2% 0,1%
B*47 0,2% 0,2% 0,3%
B*48 0,5% 0,5% 0,6%
B*54 0,2% 0,2% 0,1%
B*56 0,5% 0,5% 0,3%
B*59 0,06% 0,06% 0,03%
B*67 0,06% 0,06% 0,05%
B*73 0,2% 0,1% 0,1%
B*78 0,06% 0,06% 0,09%
B*81 0,4% 0,4% 0,5%
B*82 0,02% 0,02% 0,03%
B*83 0% 0% 0%
ALELO
FREQUÊNCIA
REDOME/REREME
(%)
ORIGEM
A*11 5,3 / 5,4 Ásia / Oceania
A*23 4,9 / 5,2 África
A*30 5,1 / 5,9 Norte da África / Europa Mediterrânea
A*31 4,5 / 4,3 Japão e tríplice fronteira
A*69 0,2 / 0,3 Disseminado com baixa freqüência
B*13 2,1 / 1,6 Ásia / Oceania
B*37 1,0 / 0,9 Disseminado com baixa freqüência
B*40 4,4 / 4,6 Ásia/Oceania(Costa Pacífico) /Américas (Costa do Pacífico)
B*41 2,0 / 1,2 República Checa / Norte da África
B*49 3,3 / 3,0 Europa Ocidental / América do Sul
B*53 2,3 / 2,6 África / afro-americanos
DRB1*01 10,2 / 9,6 Europa Ocidental
DRB1*03 9,2 / 9,9 Europa Ocidental / Irã
DRB1*09 1,5 / 1,9 Ásia / Oceania
DRB1*13 14,0 / 12,8 Europa / Ásia
DRB1*16 3,7 / 3,3 Brasil (índios guaranis)
Geografic Origin of Rare Alleles identified in REREME
www.allelefrequencies.net (ASHI)
REDOME (May /2012 – Feb 2013)
►Race
►Age
►Gender
►Region/State
►Place of birth
►Comparison w/ Last Pop. Survey
REDOME (2013)
Results
Epidemiologic Data
Total = 3.093.847 donors
16.602
105.943
2.681 3.391
0
100000
200000
300000
400000
500000
600000
700000
<18 anos 18 - 19
anos
20 - 24
anos
25 - 29
anos
30 - 34
anos
35 - 39
anos
40 - 44
anos
45 - 49
anos
50 - 54
anos
55 - 59
anos
60 - 69
anos
>69 anos
REDOME (Age)(3.093.847 donors)
2013
Comparison REDOME 2013 X Census
2010
Age
586017
117442
1346790
274005392731 376862
0
200000
400000
600000
800000
1000000
1200000
1400000
NÃO
INFORMADO
AMARELA BRANCA INDIGENA PARDA PRETA
REDOME Race /Color self informed(3.093.847 doadores)
Comparison REDOME 2013 X Census 2010
Race
1,7%
2,5%
1,7%
0,8%
1,2%
51%
49%
REDOME x CENSO 2010
1,43 %
0,91%
1,94 %
2,82 %
1,98 %
MAY
2012APRIL
2014
American and German Registry
► NMDP – 6 957 831 doadores
(BMDW 27/05/2013)
► EUA população – 316 266 000 inhab
(US Census Bureau)
► EUA pop 15 to 54 yo – 170 768 000 inhab
(US Census Bureau)
► NMDP represents 2,19 % american pop. and 4,07% 15 to 54 yo pop.
► DKMS (Germany) – 4 955 663 donors
► German population – 81 843 743 inhab
(Eurostat)
► Registry represents 6,05 % german pop.
4,07% 15 a 54 yo
6,05 %
Tabela 1. Nº de doadores cadastrados no REDOME
Descrição Quantidade %
REDOME 4.182.569 100%
REGIÃO NORTE 284.411 6,80%
AC 5.256 0,13%
AM 30.624 0,73%
AP 25.033 0,60%
PA 93.591 2,24%
RO 88.176 2,11%
RR 7.706 0,18%
TO 34.025 0,81%
REGIÃO SUDESTE 1.875.150 44,83%
ES 125.473 3,00%
MG 453.242 10,84%
RJ 207.830 4,97%
SP 1.088.605 26,03%
REGIÃO SUL 944.462 22,58%
PR 455.150 10,88%
RS 317.478 7,59%
SC 171.834 4,11%
REGIÃO CENTRO-OESTE
371.991 8,89%
DF 44.298 1,06%
GO 141.566 3,38%
MS 128.608 3,07%
MT 57.519 1,38%
REGIÃO NORDESTE
691.660 16,54%
AL 37.546 0,90%
BA 127.892 3,06%
CE 160.501 3,84%
MA 18.717 0,45%
PB 60.543 1,45%
PE 114.657 2,74%
PI 77.418 1,85%
RN 65.255 1,56%
SE 29.131 0,70%
NÃO IDENTIFICADO
14.895 0,36%
2016 – Comparison REDOME x Brazilian Population
Tabela 2. Representatividade percentual da população brasileira no REDOME.
Descrição Quantidade %
BRASIL 206.741.083 2,02%
REGIÃO NORTE 17.798.866 1,60%
AC 821.840 0,64%
AM 4.026.412 0,76%
AP 789.153 3,17%
PA 8.307.420 1,13%
RO 1.795.264 4,91%
RR 518.593 1,49%
TO 1.540.184 2,21%
REGIÃO SUDESTE 86.623.950 2,16%
ES 3.987.337 3,15%
MG 21.049.563 2,15%
RJ 16.676.481 1,25%
SP 44.910.569 2,42%
REGIÃO SUL 29.513.960 3,20%
PR 11.279.095 4,04%
RS 11.308.036 2,81%
SC 6.926.829 2,48%
REGIÃO CENTRO-OESTE
15.746.845 2,36%
DF 2.999.306 1,48%
GO 6.730.803 2,10%
MS 2.695.586 4,77%
MT 3.321.150 1,73%
REGIÃO NORDESTE
57.057.462 1,21%
AL 3.365.860 1,12%
BA 15.305.001 0,84%
CE 8.992.197 1,78%
MA 6.969.141 0,27%
PB 4.008.617 1,51%
PE 9.436.262 1,22%
PI 3.215.975 2,41%
RN 3.488.910 1,87%
SE 2.275.499 1,28%
*baseado na população total estimada até
30/11/2016 (fonte: IBGE)
2016 – Comparison REDOME x Brazilian Population
Evolution - New Donors per Year and Haplotypes
Evolution – Haplotypes Cumulative Frequencies (2016)
Projection Rate - Compatibility 09x10 and Race
(Taxa de compatibilidade 09x10 projetada)
Size of the Registry
Projection Rate – 10x10 Compatibility and Race
Taxa de compatibilidade 10x10 projetada
Size of Registry
COMPATIBILITY Rate 9x10 and 10x10 /Race
Taxa de compatibilidade para 9x10 e 10x10
REDOME
Jan 2018
0
50
100
150
200
250
300
350
400
450
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Non Related HSCT in Brazilian patients
Intl CBU
BrasilCord
International (BM/PBSC)
REDOME (BM/PBSC)
Total
95
275
33% National Donors67% International Donors
73% National Donors27% International Donors
n= 30
n= 381
83
Planning and Research
Summary
► 3 038 286 donors
► From 2003 – 2014
► Ethnicity self–reported (IBGE´s classification)
► Parental Pop. Portugal , Italy, Germany, France, Spain,
Sub-Saharian Africa
Peru , Chile, Mexico
Japan
► HLA – A ; -B ; -DRB1 antigenic groups
► ARLEQUIN 3,5 software
► Analisys of Variance (ANOVA)
HUMAN IMMUNOLOGY 2017
Genetic Diversity and Geo Distribution
TOP 30 Haplotypes in
REDOME
Haplotypes most frequent in REDOME:
A*01-B*08-DRB1*03 2.1%,
A*29-B*44-DRB1*07 1.4%
A*03-B*07-DRB1*15 1.0%.
Geographic Distribution and Ethnicity
CONCLUSION
► To improve assistance for receptors is important to characterize the population from Volunteer Donor Registries
►The Antigenic group and Haplotype frequency data could be helpful for recruitment strategies and planning
►Predictive algorithm could be developed to help the indication and search process.
Thank you !
Acknowledgement
•MINISTÉRIO DA SAÚDE
•INCA / SNT
•REDOME
•Brasilcord
•FUNDAÇÃO DO CÂNCER
•Blood centers
•LABs IMMUNOGENETICs
•HSCT Centers
•DONORS (National and International)
•PATIENTS and Families
•OTHER (NGOs, Private Comp, etc)
Contact : [email protected]