Diabetes Multi-Center Research Consortium (DMCRC) (Text Version) Slide Presentation from the AHRQ 2009 Annual ConferencSlide presentation from the AHRQ 2009 conference. On September 14, 2009, Joe Selby made this presentation at the 2009 Annual Conference. Select to access the PowerPoint® presentation (1.10 MB) (Plugin Software Help).Slide 1 Diabetes Multi-Center Research Consortium (DMCRC)Coordinating Center HMO Research Network DEcIDE Center PI Joe Selby, MDCo-PI Patrick O'Connor MDAffiliate Center Johns Hopkins University DEcIDE Center PI Jodi Segal, MDCo-PI Eric Bass, MD Slide 2 The Case for CER in DiabetesHIGH BURDEN OF DISEASE High, rising prevalence of diabetes (>23 million diagnosed cases, 10% prevalence in adults)Chronicity - life expectancy with diabetes >20 years; age at diagnosis decreasing; complication-related morbidities lead to many years with high annual costs Slide 3 The Case for CER in DiabetesUNCERTAINTY? Variation in Practice Multiple therapeutic choices (6 classes of oral agents, two classes of injectables)Several options are relatively new and costlyTreatments vary in mechanisms of action, relative effectiveness and safety uncertainOptimal treatment "strategies" unclear: timing of pharmacotherapy; treatment targets; sequencing and combination TX Slide 4 The Case for CER in DiabetesComplexity in Optimizing Effectiveness Self-care, including medication adherence is central to effectiveness, but difficult to optimizeOut-of-pocket medication costs interfere with medication adherence and self-careBlood pressure, lipid control, and aspirin each more effective than "tight" glycemic control in preventing most diabetic complicationsWeight management is important, but several medication classes cause weight gain Slide 5 The Case for CER in DiabetesComplexity in Optimizing Effectiveness "Systems Approaches" may enhance self-care and improve adherence and care coordinationDepression common in diabetes, but role of depression therapy in improving control unclearRole of "tight" control in preventing CVD complications thrown into question in 2008 by three RCT's: ACCORD, ADVANCE, VADTOther adverse consequences of tight control - wt. gain, hypoglycemia, fracturesBenefits may vary by patient age, DM duration Slide 6 The Case for CER in DiabetesPREVENTION AND EARLY DETECTION Reservoir of undiagnosed cases, but the net benefits of screening various populations for diabetes not entirely clearDiabetes can be prevented or postponed by lifestyle and/or pharmacotherapy; but optimal "real world" programs not fully clarified Slide 7 DMCRC StructureExecutive Committee - Includes AHRQ, Coordinating, Affiliate Center LeadershipData CommitteeClinical CommitteeMethods CommitteeStakeholder CommitteeAdministrative CommitteeProject Manger Slide 8 DMCRC StructureExecutive Committee - Includes AHRQ, Coordinating, Affiliate Center LeadershipData CommitteeClinical CommitteeMethods CommitteeStakeholder CommitteeAdministrative CommitteeProject Manger Slide 9 Expanded Executive CommitteeAlso includes: Vanderbilt DEcIDE Center - Marie Griffin MD, PI - Comparative Effectiveness of Oral Agents in Type 2 DiabetesRTI DEcIDE Center - Suzanne West Ph.D. - Comparative Effectiveness of Oral Hypoglycemics on Chronic Kidney Disease and on Time to Initiation of Maintenance Insulin Slide 10 DMCRC Work AssignmentsComparative 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 participationComparative Effectiveness Study of Intensive Glycemic Control vs. Less Intensive Control in presence vs. absence of tight blood pressure and lipid control (two projects) Slide 11 DMCRC Stakeholder CommitteeGovernment Agencies - AHRQ, NIDDK, CMS, FDA, CDC, VAClinicians - ACP,AAFP, AADEPatients - ADA, individual patient rep.Expanded DMCRC Executive Committee Slide 12 Stakeholder - Developed PrioritiesRole of intensive glucose control in individuals with and without CVD, not typically enrolled in trialsComparative effectiveness of multi-risk factor reduction on long-term CV outcomesComparison of system-based (coordinated) care vs. usual careApproaches to DX and treatment of depression in diabetesRisk factors for nonadherence - effects of nonadherence on costs and clinical outcomes Slide 13 Stakeholder - Developed PrioritiesEffectiveness of eliminating co-pay for effective drugs (statins, ACE-I's, beta blockers, anti-diabetic meds) - on outcomes and total drug burden?Patient reported outcomes, HRQoL in relation to therapyOptimal timing for metformin initiation on the continuum of pre-DM -> DMBest strategies for behavior change. Who should do it and where should it be done?Understanding patient attitudes toward insulin use Slide 14 Work Assignment #1:Health outcomes of bariatric surgery in individuals with type 2 diabetesHMORN: PI: David Arterburn MD (Group Health Cooperative)Johns Hopkins U: PI: Jodi Segal MD Slide 15 WA #1: Primary AimsCompare short-term outcomes between patients under-going BS and comparable patients who don't Resolution of diabetes (no meds, nl FPG'sMedication useBMI ChangeGlycemic, BP, and lipid ControlCompare longer-term outcomes between patients under- going BS and comparable patients who don't: Recurrence of diabetes (abnormal labs or re-initiation of diabetes medications)Death, hospitalization, re-operationExamine differences in these outcomes by type of BS: Bypass, banding, gastric sleeve Slide 16 WA #1: Secondary AimsCompare a variety of shorter- and longer-term outcomes between patients under- going BS and comparable patients who don't (HMORN and JHU): Development and progression of CKD and DNDevelopment and progression of diabetic retinopathyDevelopment of incident cardiovascular diseaseLong-term health care utilizationIncidence of various cancersIncidence of osteoporotic fractureIncidence of urolithiasisExamine differences in these outcomes by type of BS: Bypass, banding, gastric sleeve Slide 17 WA #1: Study Design:Cohort Study in 180,000 patients with evidence of Type 2 diabetes, BMI >35, aged 18-30Note: presence of BMI in EMR requiredApproximately 3,100 BS with BMI 2002 - 08 BSMedMean Age (yrs)5447% Female5680Median BMI4638 Slide 18 WA #1: The Cohort2002-2008 Enters cohort when T2 DM and BMI > 35 identifiedNo BS2002-2008 BypassBSBanding BSSleeve BSEnd 2009No BS Slide 19 WA #1: Analysis PlanPropensity Score (time dependent) calculated for each cohort memberProbabilities associated with each decile of PS examined, with possible trimming of very low probability decilesModeling of outcomes in remaining cohort examined using time-varying predictors for BS and key covariatesFor comparisons by type of surgery, separate cohort analyses restricted to persons having BSTreatment heterogeneity examined by age group, presence of prior comorbid conditions Slide 20 WA #1: Key Points in AnalysisMulti-variable models predicting outcome will NOT use PSFor discrete analyses, models will evaluate non-proportional (i.e., time-varying hazards)Will also examine effect heterogeneity by year of surgery and volume of surgeonMany more BS patients without pre-surgical BMI, who may contribute to some analyses where BMI less likely to confound. Current as of December 2009 Internet Citation: Diabetes Multi-Center Research Consortium (DMCRC) (Text Version): Slide Presentation from the AHRQ 2009 Annual Conferenc. December 2009. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/news/events/conference/2009/selby/index.html