Title: Diabetes MultiCenter Research Consortium DMCRC
1Diabetes Multi-Center Research Consortium (DMCRC)
- Coordinating Center
- HMO Research Network DEcIDE Center
- PI Joe Selby, MD
- Co-PI Patrick OConnor MD
- Affiliate Center
- Johns Hopkins University DEcIDE Center
- PI Jodi Segal, MD
- Co-PI Eric Bass, MD
2 The Case for CER in Diabetes
- HIGH BURDEN OF DISEASE
- High, rising prevalence of diabetes (gt23 million
diagnosed cases, 10 prevalence in adults) - Chronicity life expectancy with diabetes gt20
years age at diagnosis decreasing
complication-related morbidities lead to many
years with high annual costs
3The Case for CER in Diabetes
- UNCERTAINTY ? Variation in Practice
- Multiple therapeutic choices (6 classes of oral
agents, two classes of injectables) - Several options are relatively new and costly
- Treatments vary in mechanisms of action,
relative effectiveness and safety uncertain - Optimal treatment strategies unclear timing
of pharmacotherapy treatment targets sequencing
and combination TX
4The Case for CER in Diabetes
- Complexity in Optimizing Effectiveness
- Self-care, including medication adherence is
central to effectiveness, but difficult to
optimize - Out-of-pocket medication costs interfere with
medication adherence and self-care - Blood pressure, lipid control, and aspirin each
more effective than tight glycemic control in
preventing most diabetic complications - Weight management is important, but several
medication classes cause weight gain
5The Case for CER in Diabetes
- Complexity in Optimizing Effectiveness
- Systems Approaches may enhance self-care and
improve adherence and care coordination - Depression common in diabetes, but role of
depression therapy in improving control unclear - Role of tight control in preventing CVD
complications thrown into question in 2008 by
three RCTs ACCORD, ADVANCE, VADT - Other adverse consequences of tight control - wt.
gain, hypoglycemia, fractures - Benefits may vary by patient age, DM duration
6The Case for CER in Diabetes
- PREVENTION AND EARLY DETECTION
- Reservoir of undiagnosed cases, but the net
benefits of screening various populations for
diabetes not entirely clear - Diabetes can be prevented or postponed by
lifestyle and/or pharmacotherapy but optimal
real world programs not fully clarified
7DMCRC Structure
Executive Committee Includes AHRQ,
Coordinating, Affiliate Center Leadership
Data Committee
Methods Committee
Administrative Committee Project Manger
Clinical Committee
Stakeholder Committee
8DMCRC Structure
Executive Committee Includes AHRQ,
Coordinating, Affiliate Center Leadership
Data Committee
Methods Committee
Administrative Committee Project Manger
Clinical Committee
Stakeholder Committee
9Expanded Executive Committee
- Also includes
- Vanderbilt DEcIDE Center Marie Griffin MD, PI
Comparative Effectiveness of Oral Agents in Type
2 Diabetes - RTI DEcIDE Center Suzanne West Ph.D.
Comparative Effectiveness of Oral Hypoglycemics
on Chronic Kidney Disease and on Time to
Initiation of Maintenance Insulin
10DMCRC Work Assignments
- Comparative Effectiveness of Bariatric Surgery
vs. Usual Care in Type 2 Diabetes (two projects) - Proposal for New Statistical Briefs - using
representative data to characterize trends in
diabetes treatment and outcomes (joint) - Form and Convene Stakeholders Group (HMORN)
- Form and Convene Data Committee (JHU) with
HMORN, Vanderbilt, RTI participation - Comparative Effectiveness Study of Intensive
Glycemic Control vs. Less Intensive Control in
presence vs. absence of tight blood pressure and
lipid control (two projects)
11DMCRC Stakeholder Committee
- Government Agencies AHRQ, NIDDK, CMS, FDA, CDC,
VA - Clinicians ACP,AAFP, AADE
- Patients - ADA, individual patient rep.
- Expanded DMCRC Executive Committee
12Stakeholder - Developed Priorities
13Stakeholder - Developed Priorities
- Effectiveness of eliminating co-pay for effective
drugs (statins, ACE-Is, beta blockers,
anti-diabetic meds) on outcomes and total drug
burden? - Patient reported outcomes, HRQoL in relation to
therapy - Optimal timing for metformin initiation on the
continuum of pre-DM -gt DM - Best strategies for behavior change. Who should
do it and where should it be done? - Understanding patient attitudes toward insulin
use
14Work Assignment 1
- Health outcomes of bariatric surgery in
individuals with type 2 diabetes - HMORN PI David Arterburn MD
- (Group Health Cooperative)
- Johns Hopkins U PI Jodi Segal MD
15WA 1 Primary Aims
- Compare short-term outcomes between patients
under-going BS and comparable patients who dont - Resolution of diabetes (no meds, nl FPGs
- Medication use
- BMI Change
- Glycemic, BP, and lipid Control
- Compare longer-term outcomes between patients
under- going BS and comparable patients who
dont - Recurrence of diabetes (abnormal labs or
re-initiation of diabetes medications) - Death, hospitalization, re-operation
- Examine differences in these outcomes by type of
BS Bypass, banding, gastric sleeve
16WA 1 Secondary Aims
- Compare a variety of shorter- and longer-term
outcomes between patients under- going BS and
comparable patients who dont (HMORN and JHU) - Development and progression of CKD and DN
- Development and progression of diabetic
retinopathy - Development of incident cardiovascular disease
- Long-term health care utilization
- Incidence of various cancers
- Incidence of osteoporotic fracture
- Incidence of urolithiasis
- Examine differences in these outcomes by type of
BS Bypass, banding, gastric sleeve
17WA 1 Study Design
- Cohort Study in 180,000 patients with evidence
of Type 2 diabetes, BMI gt35, aged 18-30 - Note presence of BMI in EMR required
- Approximately 3,100 BS with BMI 2002 08
18WA 1 The Cohort
Enters cohort when T2 DM and BMI gt 35 identified
Bypass
Banding
BS
No BS
Sleeve
No BS
2002-2008
2002-2008
End 2009
19WA 1 Analysis Plan
- Propensity Score (time dependent) calculated for
each cohort member - Probabilities associated with each decile of PS
examined, with possible trimming of very low
probability deciles - Modeling of outcomes in remaining cohort examined
using time-varying predictors for BS and key
covariates - For comparisons by type of surgery, separate
cohort analyses restricted to persons having BS - Treatment heterogeneity examined by age group,
presence of prior comorbid conditions
20WA 1 Key Points in Analysis
- Multi-variable models predicting outcome will NOT
use PS - For discrete analyses, models will evaluate
non-proportional (i.e., time-varying hazards) - Will also examine effect heterogeneity by year of
surgery and volume of surgeon - Many more BS patients without pre-surgical BMI,
who may contribute to some analyses where BMI
less likely to confound.