Update on PLGM Trial: Learnings Investigators: B. King, F Cameron, - - PowerPoint PPT Presentation

update on plgm trial learnings
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Update on PLGM Trial: Learnings Investigators: B. King, F Cameron, - - PowerPoint PPT Presentation

Update on PLGM Trial: Learnings Investigators: B. King, F Cameron, E A Davis, J Fairchild, T W Jones, G Ambler Study Nurses: J Nicholas, S Oates, R Gebert, J Klimek, K Heels, A Crawford Project Manager: C Czank Coordinators and Data


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SLIDE 1

Update on PLGM Trial: Learnings

Investigators:

  • B. King, F Cameron, E A Davis, J Fairchild, T W Jones, G Ambler

Study Nurses: J Nicholas, S Oates, R Gebert, J Klimek, K Heels, A Crawford Project Manager: C Czank Coordinators and Data management: M Abraham,, J Nicholas, H Roby, N Paramalingam, Rachelle Kalic Administration: T Commisso Other Key Personnel: A Brnabic, R Davey (exercise physiologist) Key Support JDRF Staff

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SLIDE 2

Pathway to an Artificial Pancreas: Feedback control of insulin delivery

A.Kowalski

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SLIDE 3

Low glucose suspend study

50 100 150 200 Sensor Glucose (mg/dL)

Switch

  • ff
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SLIDE 4

CGM Cost-effectiveness Analysis:

Sensor Augmented LGS Pump vs Standard Insulin Pump

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SLIDE 5

Can hypoglycaemia be predicted and prevented with sensor-augmented pump therapy and an imbedded algorithm?

  • Predictive Low Glucose Management (PLGM) System
  • Suspend before Low
  • SmartGuardTM

Next Question:

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SLIDE 6

Stage 1 : In-Clinic studies Stage 2 : RCT Home studies

Australian Paediatric Diabetes Technology Research Group (JDRF CRN)

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SLIDE 7

Predictive Low Glucose Management System Algorithm :

Calculates the rate of decline in sensor glucose. Predictive Horizon of 30 minutes

Modifiable features :

Hypoglycaemic threshold : 3.9mmol/L

Pump resumption:

2 hour fixed suspend or if auto-resumption parameters are met

5.5 30 4.1 5.5 30 3.9

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SLIDE 8
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SLIDE 9
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SLIDE 10

SC insulin bolus PLGM on PLGM off Exercise PLGM on PLGM on PLGM off PLGM off ↑Basal

In Clinic Studies

Completed 2014

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SLIDE 11

Positive Outcomes

  • Demonstrated the feasibility of performing protocols

in multiple sites

  • Increased individual capacity of individual sites and of

trial coordination

  • Enhanced collaboration and track record of such
  • Junior training in clinical research
  • Engagement of other investigators and disciplines:

exercise, health economic, psychologist

  • Interesting results and contributions: presentations and

publications

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SLIDE 12

Multisite RCT: in progress

  • Predictive Insulin Suspend vs Sensor Augmented

Pump Therapy

  • Primary Outcome: Time spent with Glucose Value

<3.3mmol/l as measured by CGM

  • Adolescents
  • Total number = 175 , 6 months
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SLIDE 13

Learnings

  • 1. General
  • 2. Specific for technologies
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SLIDE 14

Learnings: 1 General

  • 1. Time
  • 2. Flexibility
  • 3. Staffing
  • 4. Coordination
  • 5. Ethics and Governance and contracts
  • 6. Communications
  • 7. Trial governance
  • 8. Data-handling
  • 9. Funder support
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SLIDE 15

Flexibility

  • Hypoglycaemia unawareness
  • Quality of life and compliance information
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Learnings: 2 Specific for technologies

  • 1. New ground
  • 2. Flexibility
  • 3. Relationship to industry
  • 4. Multifaceted approach and outcomes
  • 5. Very large data sets
  • 6. Clinician as well as patient dependant
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SLIDE 17

INDUSTRY FUNDERS PATIENTS

INDEPENDENT CLINICAL RESEARCH TEAMS

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SLIDE 18

Outcome Measures for Technologies

  • Glycaemic

– Aic – Variability – Hypoglycemia

  • Events
  • CGM defined
  • Burden

– Of the use of the technology – Of diabetes, hypoglycaemia fear, quality of life

  • Economic

– Funders – Patients

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SLIDE 19

Improvements

  • Contract management
  • Communications and face to face meetings
  • Data management
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SLIDE 20

Reasons for success

  • Funding for Clinical Research: CRN
  • Strong collaborative sites and investigators
  • Strong interest from Type 1 community
  • International support
  • Unrestricted support from industry