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A study on fixed-dose combinations Asbjørn Nøhr-Nielsen, Ph.D. stud. Department of drug design and pharmacology and Copenhagen Centre for Regulatory Science 2 nd October 2017 Obtaining information – European public assessment reports (EPARs)

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Page 1: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

A study on fixed-dose combinations

Asbjørn Nøhr-Nielsen, Ph.D. stud. Department of drug design and pharmacology and Copenhagen Centre for Regulatory Science 2nd October 2017

Obtaining information –European public assessment reports (EPARs)

11/10/2017 1

Page 2: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Introduction

11/10/2017 2

Aim: Using modelling and simulations we aim to optimize the clinical development for FDC products with focus on requirements from the EU health authorities.

Project 1:

Review of clinical

development studies for FDC products using

European public

assessment reports (EPARs)

Project 2:

Simulation- project using a FDC case study

focusing on estimation of interaction

parameters and optimal

distribution of patients

Project 3:

Modelling using a FDC

case study with two well-defined

components, combining old data with new

studies

Project 4:

Modelling using a FDC case study

focusing on surface-

modelling of effect and

side-effects

Page 3: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Agenda

11/10/2017 3

Aim: Using modelling and simulations we aim to optimize the clinical development for FDC products with focus on requirements from the EU health authorities.

Project 1:

Review of clinical

development studies for FDC products using

European public

assessment reports (EPARs)

Project 2:

Simulation- project using a FDC case study

focusing on estimation of interaction

parameters and optimal

distribution of patients

Project 3:

Modelling using a FDC

case study with two well-defined

components, combining old data with new

studies

Project 4:

Modelling using a FDC case study

focusing on surface-

modelling of effect and

side-effects

Page 4: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

The idea

Project 1:

Review of clinical development requirements for FDC products using European public assessment reports (EPARs).

Citation from Guideline on clinical development of fixed combination medicinal products:

“A factorial design study may support the pharmacological additive effects or synergism of the proposed combinations, especially when different effective dose levels of the individual active substances exist”.

11/10/2017 4

Page 5: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

The hypothesis

Project 1:

Review of clinical development requirements for FDC products using European public assessment reports (EPARs).

We hypothesize that the interpretation of the guidelines can lead to non-optimal investigations in the clinical

development program for FDCs

11/10/2017 5

Page 6: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Fixed-dose combinations

• Combination of two or more active pharmaceutical ingredients in a single dosage form

• Specific set of guidelines (Guideline on clinical development of fixed combination medicinal products)

11/10/2017 6

Page 7: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Fixed-dose combinations - Advantages

Improving patient care

11/10/2017 7

Compliance - Keeping track

of several medications

- Reduction in pill burden

Novel treatment entity - Potential for

synergism between components

- Combined profiles for effect and adverse effect

Safety - Extensive

DDI studies

Page 8: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Fixed-dose combinations - Advantages Improving patient care

11/10/2017 8

Compliance Novel treatment entity

Safety

Advantages for the industry

New drugs in pipeline - Improved efficacy - Improved Safety

profile

Patent protection - Extend proprietary

rights and marketability of a drug product

Enabling the GP - Optimized dose

relationship

Page 9: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Fixed-dose combinations - Disadvantages

11/10/2017 9

Disadvantages of FDCs

Customization - Inability to

customize the dose regimen

Safety - Difficult to identify the

active pharmaceutical ingredient responsible for the adverse reaction

Page 10: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

We hypothesize that the interpretation of the guidelines can lead to non-optimal investigations

in the clinical development program for FDCs

11/10/2017 10

Body of clinical evidence • Patients • Trials • Combinations of

known/unknown drugs

General characteristics • Therapeutic area • Authorization date

Approaches applied in the development • Design • Amount of doses

tested

Page 11: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

EPARs – Retrieving the data

11/10/2017 11

Page 12: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

EPARs – Retrieving the data

11/10/2017 12

Page 13: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

EPARs – Retrieving the data

11/10/2017 13

Page 14: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

EPARs - Spreadsheet

11/10/2017 14

Page 15: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

We hypothesize that the interpretation of the guidelines can lead to non-optimal investigations

in the clinical development program for FDCs

11/10/2017 15

Body of clinical evidence • Patients • Trials • Combinations of

known/unknown drugs

General characteristics • Therapeutic area • Authorization date

Approaches applied in the development • Design • Amount of doses

tested

Page 16: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Data created from general characteristics

11/10/2017 16

ggsave

A: Alimentary tract and metabolism J: Antiinfectives for systemic use R: Respiratory system

Page 17: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Data created from general characteristics

11/10/2017 17

Page 18: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Glyxambi - an example

11/10/2017 18

Page 19: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

11/10/2017 19

Page 20: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

11/10/2017 20

Page 21: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

11/10/2017 21

Page 22: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Glyxambi – table of contents of EPAR

11/10/2017 22

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Glyxambi – table of contents of EPAR

11/10/2017 23

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Glyxambi – Quality aspects

11/10/2017 24

• Combinations of known/unknown drugs

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Glyxambi – Clinical efficacy

11/10/2017 25

• Patients • Trials

Page 26: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Glyxambi – Clinical efficacy

11/10/2017 26

• Design • Amount of doses tested

Page 27: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Glyxambi – Clinical efficacy

11/10/2017 27

• Patients • Trials • Design • Amount of doses tested

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Glyxambi – Clinical efficacy

11/10/2017 28

• Patients • Arm level

• Trials • Design • Amount of

doses tested

Page 29: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

We hypothesize that the interpretation of the guidelines can lead to non-optimal investigations

in the clinical development program for FDCs

11/10/2017 29

Body of clinical evidence • Patients • Trials • Combinations of

known/unknown drugs

General characteristics • Therapeutic area • Authorization date

Approaches applied in the development • Design • Amount of doses

tested

Page 30: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Data created from clinical efficacy

11/10/2017 30

AD: Approved drug NME: New molecular entity

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Data created from clinical efficacy

11/10/2017 31

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Conclusion

The positive

• Easily accessible

• Provides an overview • Data at the arm level of

clinical trials

• Enables some types of research

11/10/2017 32

The negative

• Can be lacking in depth and detail • No information at patient

level of clinical trials

• Sparse information on the use of modeling

• No defined structure for the data

Page 33: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Conclusion

11/10/2017 33

The positive

Page 34: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Conclusion

Transparency

11/10/2017 34

EMA

People Industry

Academia

Page 35: Obtaining information A study on fixed-dose · FDC case study focusing on estimation of interaction parameters and optimal distribution of patients Project 3: Modelling using a FDC

Acknowledgements

Supervisor

Trine Melgaard Lund, Assoc. Prof. Dept. of Drug Design and Pharmacology University of Copenhagen

Co-supervisors

Christian Bressen Pipper, Assoc. Prof. Section of Biostatistics University of Copenhagen

Marieke De Bruin, Prof. Copenhagen Centre for Regulatory Science (CORS) University of Copenhagen

Ole Jannik Bjerrum, Prof. emeritus Dept. of Drug Design and Pharmacology University of Copenhagen

Mikael Thomsen Drug Development Specialist Contera Pharma

11/10/2017 35