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Old and Newer methods for Bayesian updating
Roger Jelliffe, M.D. USC Lab of Applied Pharmacokinetics 11/14/2018 USC LAPK
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Four types of Bayesian updating
Maximum Aposteriori Probability (MAP). Multiple Model (MM) Bayesian updating. Hybrid Bayesian (MAP + MM) updating. Interacting Multiple Model (IMM) Bayesian updating 11/14/2018 USC LAPK
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Maximum Aposteriori Probability (MAP).
Can reach out toward an unusual patient But the MAP point misses the true patient Held back toward the prior Also, only 1 point. No graphic view of uncertainties. What to do? 11/14/2018 USC LAPK
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2. Multiple Model (MM) Bayesian updating.
Support points don’t change. Values of support points stay the same Use Bayes’ theorem to compute the Bayesian posterior probability of each support point, given patient’s data Problem: will not reach out beyond pop param ranges. May miss unusual patient. What to do? 11/14/2018 USC LAPK
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Pop model has definite boundaries
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3. Hybrid Bayesian posterior updating
Start with MAP Bayesian. It reaches out, but not fully. Pop prior holds it back. Add new support points nearby, inside and outside, to precondition the pop model for the new patient data. Then do MM Bayesian on ALL the support points. We are implementing this now. Out soon. 11/14/2018 USC LAPK
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Test Case Probabilities calculated on a 4x4 grid about optimal
5 percent increase/decrease between grid points 11/14/2018 USC LAPK
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4. Bayesian for very unstable patients: interacting multiple model (IMM)
Limitation of all current Bayesian methods: assume only 1 set of fixed parameters to fit the data. Sequential MAP or MM Bayesian same as fitting all at once. Relax this assumption. Let the “true patient” change during data analysis if more likely to do so. Hit evasive targets better. IMM. 11/14/2018 USC LAPK
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What individualized therapy has done
Digoxin Lidocaine Aminoglycosides Vancomycin Busulfan Methotrexate 11/14/2018 USC LAPK
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What individualized therapy has done
Digoxin 11/14/2018 USC LAPK
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What individualized therapy has done
Lidocaine 11/14/2018 USC LAPK
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What individualized therapy has done
Aminoglycosides 11/14/2018 USC LAPK
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Vinks et al. Aminoglycoside therapy: 4 hospitals.(TDM 21:63-73, 1999)
Adaptive TDM (ATM) vs ordinary TDM Patients Inf on adm Peak conc ±2.9 ug/ml 7.6±2.2 p<0.01 Trough conc ± ±1.3 p<.001 Mortality / /127 p=.26 Mort, inf on adm 1/ /62 p=.023 11/14/2018 USC LAPK
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Other aminoglycoside outcomes
ATM TDM Nephrotoxicity % % p<.01 Hospital stay ±1.4d ± p=.045 Inf on adm ±0.8d ± p<.001 Cost (DFL) ,125±9, ,882±17,721 p<.05 Inf on adm 8,883±3, ,743± 7,437 p<.001 11/14/2018 USC LAPK
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What individualized therapy has done
Vancomycin 11/14/2018 USC LAPK
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Vanco IV Options 11/14/2018 USC LAPK
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Vanco IV Options 11/14/2018 USC LAPK
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What individualized therapy has done
Busulfan 11/14/2018 USC LAPK
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Bleyzac et al. Busulfan in 29 Ped BMT Pts
Test Control PTS VOD % 24.1%* Graft Failure % 12.0% Survival % % *p<.05 11/14/2018 USC LAPK
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COST EFFECIVENESS STUDY OF CYCLOSPORIN BAYESIAN MONITORING IN PEDIATRIC BONE MARROW TRANSPLANTATION
Nathalie BLEYZAC, Emmanuelle SAVIDAN, Claire GALAMBRUN Hôpital DEBROUSSE, Hospices Civils de Lyon 11/14/2018 USC LAPK
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Context Bone marrow transplantation
Numerous complications including graft versus host disease (GVHD) GVHD prophylaxis: Cyclosporine ± ATG 11/14/2018 USC LAPK
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Bone marrow transplantation : Indications
Malignant diseases : Leukemia (ALL, AML, CML, JMML), non Hodgkin lymphoma Myelodysplastic syndromes Non malignant diseases : Bone marrow failure, hemoglobinopathies Immunodeficiencies Metabolic disorders 11/14/2018 USC LAPK
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Cyclosporine: PK/PD No dose-effect relationship
Relationship between cyclosporine trough blood concentration and GVHD grades Existence of cyclosporine target blood concentrations specific to each type of graft and each pathology 11/14/2018 USC LAPK
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Cyclosporine therapeutic monitoring : Empirical strategy
YES NO or doses by 5 to 10% increment if trough blood concentration differ from target values (Cmin between 100 et 200ng/ml) new measure of trough blood concentration to verify it is within target values range More than one week is sometimes needed before finding the optimal dosage regimen 11/14/2018 USC LAPK
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Cyclosporine therapeutic monitoring : MAP Bayesian monitoring strategy
Home-made PK populations 3 dose control per week / 2 first weeks USCPACK: linear PK (≠ CsA) + “human neuronal network” 11/14/2018 USC LAPK
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Methods (1) Strategies compared : Costs considered : Direct costs :
Strategy A: Bayesian monitoring (Debrousse hospital’s) Strategy B: empirical monitoring (all other French centers) Costs considered : Direct costs : directly linked to GVHD treatment costs of monitoring strategies 11/14/2018 USC LAPK
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Methods (2): Efficacy of cyclosporine Bayesian TDM
Choice of efficacy endpoint : → Incidence of severe acute GVHD (grades III and IV ) → Relapses 11/14/2018 USC LAPK
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Methods (3): Efficacy: data collection
Strategy A : Data reported in a previous study: patients transplanted from Nov to Oct at Debrousse hospital 85 children 11/14/2018 USC LAPK
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Methods (4): Efficacy: data collection
Strategy B : Literature review : Medline request combining “bone marrow transplantation” AND “children” AND “GVHD” ; restriction on last 6 years → > 100 papers Selection of studies showing criterion previously defined 11/14/2018 USC LAPK
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Methods (5): Efficacy: data collection
Strategy B : Selection criterion Pediatric studies ≥ 15 patients Incidence of moderate and severe acute GVHD clearly indicated Exclusion criterion Rare pathologies Autologous graft Peripheral stem cell graft or umbilical cord blood graft if no data about BMT 11/14/2018 USC LAPK
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Methods (6): Efficacy: data collection
Strategy B : 9 studies Warning : cohorts differ from ours for different reasons Data synthesis Median percentages about moderate and severe acute GVHD incidence calculated from percentages reported in each study 11/14/2018 USC LAPK
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Methods (7): Costs considered
Cost saved by using strategy A Overcost generated by the treatment of one severe GVHD : Mean cost of treatment for a patient affected by severe GVHD – mean cost of treatment for a patient without GVHD or I-II Cost of carrying out strategy A 11/14/2018 USC LAPK
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Methods (8) : Costs considered
Cost of carrying out strategy A : Cyclosporine blood samples and dosages : Equivalent in both strategies Bayesian monitoring : Informatics material : insignificant Staff : 0.6 “équivalent temps plein” (ETP) of hospital pharmacist and 1.5 ETP of resident 11/14/2018 USC LAPK
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Methods (9) : Costs considered
Costs of treatment (severe acute GVHD / no GVHD) : Cost of hospitalization Cost of drugs used Cost of stable and labile blood products Parenteral nutrition Biological and imaging investigations Calculated from 10 patients’ files . 11/14/2018 USC LAPK
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Results (1) : Strategy efficacy: incidence of GVHD
Strategy A : Between 1999 and 2004 : Grade I-II : 48.2 % Grade III-IV : 8.2% Strategy B : Mean : Grade I-II : 39.4% Grade III-IV: 22.4% 11/14/2018 USC LAPK
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Results (2) : Additional cost linked to severe GVHD
Number of patients concerned : 26 BMT / year at Debrousse hospital of which 26 x 8.2% = 2.1 patients affected by severe acute GVHD each year. If cyclosporine was monitored according to classical strategy, it would be 26 × 22.4% = 5.8 patients affected by severe acute GVHD each year, i.e. 3.7 more. 11/14/2018 USC LAPK
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Results (3) : Resources consumed (costs in euros)
The additional cost for one severe acute GVHD is approximately euros 11/14/2018 USC LAPK
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Results (4) : Costs avoided by cyclosporine Bayesian monitoring
Cost of severe GVHD saved (3.7 x ) : euros Cost of carrying out strategy A : euros Overall cost saved by using strategy A : euros 11/14/2018 USC LAPK
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Results (5): Sensitivity analysis
Strategy A remains cost-effective when resources varies: Hospitalization cost : length of stay of 50 – 130 days Quantity of stable and labile blood products administered : 2000 to euros Severe GVHD incidence variance above 12.5% 11/14/2018 USC LAPK
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Conclusion Cyclosporin MAP Bayesian monitoring strategy is cost-effective as it allows : about 14% less severe acute GVHD about euros of cost saving per year 11/14/2018 USC LAPK
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