Implementing a Swap Transplant Program Experiences and ......India vs EU Land Area (As of 2017) •...
Transcript of Implementing a Swap Transplant Program Experiences and ......India vs EU Land Area (As of 2017) •...
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Implementing a Swap Transplant ProgramExperiences and Challenges
Vish BillaNephrologist & Transplant Physician
Associate Professor of Nephrology, Bombay Hospital
Director, Apex Kidney Care
Coordinator Apex Swap Transplant Registry
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India vs EU
Land Area (As of 2017)
• EU : 4.42 million km²• India : 3.28 million km²• EU is 1.4 times bigger than IndiaPopulation (As of Feb 01, 2017)
• EU : 508 million• India : 1342 million• India has 2.6 times the population of EUNumber of languages• EU : 24 Official with some 100 other• India : 22 Official with some 1600 otherMember states:• EU : 28• India: 29
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The CKD problem in India
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A few numbers..
• Reported prevalence of CKD in different regions ranges from <1% to 13%,
• Population: 1.3 billion (90million CKD)
• 1850 Nephrologists
• Dialysis cost : USD 20/session
• Transplant cost: USD 10000
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Incident rates of ESRD and RRT by modality (2017)
0
50000
100000
150000
200000
250000
ESRD HD PD Transplant
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Prevalent patients on RRT (2017)
0
20000
40000
60000
80000
100000
120000
140000
HD PD
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The Transplant scenario in India
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1994 – Watershed year for Transplants
Pre 1994
LURDT
LRDT
DDT
Post 1994
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1994
2011
2014
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Transplant laws became very severe
• The Nephrologist became the favorite whipping boy for anything that went wrong.
✔ Unrelated transplants stopped
✗ Related transplants procedural delays
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Who can donate a kidney?
• Related donor: 10 relations, spouse, grandparents
• Unrelated donor: in laws, cousins, uncles, aunts, KEP
• Emotionally related:
• Altruistic donation: Not legal
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No. of Deceased Donors
Sunil Shroff. Indian J Urol. 2016 Jul-Sep; 32(3): 173–174.
1 2 3 4 5 6
Adatsor2 196 313 411 570 793 905
0
100
200
300
400
500
600
700
800
900
1000
2012 2014 2015 2016 20172013
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Incident rates of ESRD and RRT (2017)
0
50000
100000
150000
200000
250000
ESRD RRT
Problem
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Registry B
Registry E
Registry C
Registry D
Registry A
Multiple Registries, different philosophies
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ASTRA today
• Established: 2011
• Objective:
To aid patients to identify swap pairs
• Data as of date:
351 registrations,
51 transplants (2 chains - 5 pairs & 6 pairs)
• Charge to the patient: Nil
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Principles followed in writing a code
• Legal
• Ethical
• Philosophical
In collaboration with The Dept. of Industrial Engineering and Operations Research,Indian Institute of Technology, Mumbai
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Fairness to the community‘Cardinality’
Fairness to the patient‘Equity’
Fairness to the kidney
‘Utility’
1. Fairness to the community: Cardinality2. Fairness to the patient: Equity3. Fairness to the kidney: Utility
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87
5 6
3 4
1 2
Option 11>>43>>65>>8
Option 21>>23>>45>>67>>8
Cardinality 3 Cardinality 4
1. Fairness to the community: Cardinality
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D+R(Node)
1
D+R(Node)
3
Weight
52.55
Edge
Mutually incompatible D-R pair with serial number 1
Feasible binary swap between pairs with index 1 and 3 and with total added score of 52.55
Mutually compatible D-R pair with serial number 3 and added score 18.97
3 18.97
1 352.55
1
18.97
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Assumptions
Application Objectives
1.Achieve max. no.‘Cardinality’
2. Achieve Fairness‘Equity’
Score80%
3. Achieve max. graft survival‘Utility’
Score20%
Time since swap Registration
HLA mismatch number
Time on dialysis Age difference bet D and R
Failed vascular access
Blood group
Sensitised recipient
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S.No Parameter Values taken Weightage
Fairness
1 PRA% 0-9 10-79 ≥80
15 20 25 0.7
2 O recipient Yes No
25 0 0.45
3 AB donor Yes No
25 0 0.3
4 Failed vascular accesses 0 1 2 ≥3
1 12 20 25 0.8
5 Waiting time on dialysis If 0<=x<=5, then f(x)=x2, if x≥5, the f(x)=25 0.75
6 Period from registration If 0<=x<=5, then f(x)=2.5*x, if x≥10, then f(x)=25 0.2
Utility
1 HLA mismatches 0 1 2 3 4 5 6
25 22 23 20 17 16 15 0.45
2 Age diff. bet. D and R fx=25*exp(-x2/50) 0.35
80%
20%
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Node NodeNode
NodeNode
42
.05
52.55
1. Fairness to the patient: Equity2. Fairness to the kidney: Utility Score
25.9
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Challenge: Getting patients to register.
• Inform patients via Nephrologists
• Inform patients on the deceased donor waitlist via Govt.
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ASTRA job profile
Run the Algorith
m
Identify a swap pair
Perform cross match
Handover to 10
Nephrologists
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Transplant Coordinator
Hospital Authorization
Committee
Government AuthorityPair 1 Pair 2
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Transplant Coordinator
• Collating Documents
• Preparing Affidavits
Hospital Authorization
Committee
• Interview the pairs
• Establishing Proof of relationship
Government Authority
• Interviewing the pairs
• Establishing proof of relationship
• Giving final permission
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R1 D2 R2 D1
X 2 teams X 2 teams
Implementing the swap transplant
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Pair 1
Pair 2
Nephrologist 1
Nephrologist 2
Nephrologist 3
Pair 1
Pair 2
Pair A and Pair B, matched by ASTRA.Undergo documentation and Govt permission under 2 different 10 Nephrologists at Hospital X and Hospital Y
Challenge 1
When should the 2 pairs get to meet each other?
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26yr woman
Recipient
Biological mother
Step mother
KEP donor
Challenge 2
Extreme situations need extreme solutions. Procedures need to be inclusive in such situations.
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43yr CKDV
US citizen
MotherKEP
donor
WifeSeparated
not divorced
1. NOC from the country of citizenship2. Consent from the separated but not legally divorced wifeMoved to another Hospital Y, papers processed and successfully transplanted.
Establishing uniformity in practices across Hospitals
Challenge 3
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56yr DM
CKDV
SpouseDM
Daughter17yr
BrotherIn lawABOi
The Law states that only 1st degree relatives could be swap donors.No transplant permission granted for 6 months. Multiple meetings with with several government authorities to explain the case Eventually translated into a successful transplant after 1 year.
If near relative donors can be considered for direct transplants, why not in swaps?
Challenge 4
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Challenge 5
33yr CKD V
WifeKEP
donor
Challenge: If a wife wants to donate to her husband, can her parents come in the way?(Consent for medical termination of pregnancy in India:
A woman's exclusive domain, no place for man's concurrence)
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Challenge 6
• 2014
• Chain 1, 5 pairs simultaneous exchange.
• One pair was domiciled in another state: Rajasthan
• That states Govt. Authority refused permission for the KEP chain, since there is no mention of this term in the Gazzette.
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Samsunissa
BSmita
A
Rajesh
BMohamed
A
Kashinath
B
Sushma
AUmesh
O
Surekha
ABrijmohan
O
Shveta
B
Father
Daughter Wife
Wife Wife Husband Wife
Husband
Donors
Recipients
Husband Husband
Chain I: 2013
Bombay Hospital
HindujaHospital
HiranandaniHospital
HiranandaniHospital
Bombay Hospital
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Vaishali
BManhohar
A
Pratibha
BSandeep
A
Rizwana
B
Eliaze
AManish
O
Sharad
ANanda
O
Sucheta
AB
Mother
Son Husband
Wife Husband Wife Father
Son
Donors
Recipients
Husband Wife
Chain II: 2014
Bombay Hospital
Hiranandani Hospital
Nanda
AB
Vikas
B
Husband
Wife
Hinduja Hospital
Bombay Hospital
Hiranandani Hospital
Bombay Hospital
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Challenge 7: Strange requests!
• Want a Hindu kidney only
• Want a female kidney only
• Want a kidney with a GFR >50 only
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Challenge 8
• Kidneys travelling or Donors travelling
• Simultaneous deployment versus Sequential deployment
• Public Hospital versus Private Hospital
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Transplant Coordinator
Hospital Authorization
Committee
Appropriate Authority
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Challenge 9
Hackers trying to corner this database. Database security
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A successful paired exchange program
• Large number of registrants
• Healthcare infrastructure
• A single large Cohesive registry
• Cohesive Nephrologists
• Professional discipline
• Uniform hospital policies
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Linking the Swap Registry with the Deceased Donor Waitlist
ASTRA in collaboration with IIT Bombay
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1 Deceased donor
2 recipients on the cadaveric list
receive 2 kidneys
5 patients in ASTRA receive kidneys
Deceased donor Wait list ASTRA wait list
1 cadaveric donor can generate
7 kidney transplants
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India: an evolving story..
0
5
10
15
20
25
China EU USA India
USD Trillion
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Acknowledgements
Apex Group
Deepa Usulumarty
Ganesh Sanap
Jatin Kothari
Shrirang Bichu
Rajesh Kumar
Indian Institute of Technology
Prof. Narayan Rangaraj
Utkarsh Verma
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