The PCORnet Bariatric Study: Comparing effectiveness of the 3 most - - PowerPoint PPT Presentation

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The PCORnet Bariatric Study: Comparing effectiveness of the 3 most - - PowerPoint PPT Presentation

The PCORnet Bariatric Study: Comparing effectiveness of the 3 most common weight loss procedures Neely Williams, MDiv Kathleen M. McTigue, MD MPH Associate Professor of Medicine, Community co-Principal Investigator, Mid-South Clinical


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The PCORnet Bariatric Study: Comparing effectiveness of the 3 most common weight loss procedures

Kathleen M. McTigue, MD MPH

Associate Professor of Medicine, Epidemiology & Clinical/Translational Science, University of Pittsburgh

Neely Williams, MDiv

Community co-Principal Investigator, Mid-South Clinical Research Network & Meharry-Vanderbilt Alliance Community Partner

#PCORI2018

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SLIDE 2

2 • November 17, 2018

Kathleen McTigue Neely Williams

  • Have nothing to disclose.
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3 • November 17, 2018

Acknowledgements

PCORI Core Scientific Team

  • David Arterburn: Lead PI, clinician researcher
  • Kathleen McTigue: Co-PI, clinician researcher
  • Neely Williams: Co-PI, patient partner
  • Karen Coleman: Researcher
  • Cheri Janning: Patient investigator
  • Anita Courcoulas: Surgeon investigator
  • Darren Toh: Distributed analyst
  • Jane Anau: Project manager
  • Roy Pardee: Informatician
  • Robert Wellman: Analyst
  • Yates Coley: Analyst
  • Andrea Cook: Analyst

Stakeholder Advisory Board PCORnet CDRN & Coordinating Center teams

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4 • November 17, 2018

Objectives

At the conclusion of this activity, the participant should be able to:

  • Describe how the 3 most common US weight loss procedures

compare in terms of weight loss, improvement in diabetes risk, & adverse events

  • Explain how stakeholder engagement contributed to the project
  • Make more informed decisions about which bariatric procedure

may be right for a patient considering weight loss surgery

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5 • November 17, 2018

Background

  • Severe obesity is a serious health concern

affecting 7.7% of Americans

  • Use of bariatric surgery has expanded considerably
  • Sleeve gastrectomy procedure has been used

increasingly over past decade – despite a lack of data comparing its effectiveness to other procedures

  • PCORnet provided a unique opportunity to use

real-world health data from 45 health systems to compare bariatric procedures

(SG)

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6 • November 17, 2018

How did stakeholders contribute to the research idea?

  • PCORnet Obesity Task Force (2014) – Patients, clinicians & researchers

prioritized obesity research topics. PCORI then released a funding announcement focusing on weight loss surgery.

  • At PBS kick-off meeting, requested two major changes to science:
  • Do three pair-wise comparisons of bariatric procedures, as opposed to

two pair-wise comparisons

  • Interview bariatric surgeons as part of qualitative aim – not just conduct

patient focus groups Study activities were carried out, with stakeholder input on data collection & interpretation.

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7 • November 17, 2018

How did our stakeholders help us develop & execute our scientific aims?

  • Reviewed plans to identify cohort.
  • Includes reviewing diabetes medication lists and bariatric surgery

procedure codes.

  • Using the same process as investigators, prioritized analyses of patient

sub-groups. Final rankings were decided by investigators & stakeholders.

  • Actively participated in development of focus group & surgeon interview

templates.

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8 • November 17, 2018

Among 46,510 patients from 22 states whose data contributed to weight loss analyses…

  • Most procedures were bypass or sleeve
  • 24,982 RYGB (53%)
  • 18,961 SG

(41%)

  • 2,567

AGB (6%)

  • The sample was, on average, middle-aged, mostly female & fairly

racially/ethnically diverse

  • Mean age 46; 80% female; 21% Hispanic; 21% African American
  • Patients were severely obese
  • Mean BMI: 49 kg/m2 with 38% BMI 50+ kg/m2
  • Comorbidities were common
  • 60% HTN; 49% Dyslipidemia; 49% OSA; 40% GERD; 37% T2DM
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9 • November 17, 2018

SG & RYGB led to substantial weight loss, which reached a nadir by 1.5 years of follow-up. AGB was less effective.

3.6 kg ↑ 8.2 kg ↑ 7.6 kg ↑ Weight Regain

AGB SG RYGB

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10 • November 17, 2018

RYGB & SG showed similar DM Remission rates; both led to more remission than AGB

Adjusted cumulative remission (%n) 0 1 2 3 4 5

Years since surgery RYGB SG AGB

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11 • November 17, 2018

Cumulative relapse was ~67% lower for RYGB (HR 0.32) or SG (HR 0.33) patients compared with AGB patients

Years since surgery

0 1 2 3 4 5 0 1 2 3 4 5

AGB SG RYGB

Adjusted cumulative remission (%n)

RYGB SG AGB AGB SG RYGB

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12 • November 17, 2018

RYGB patients had 25% lower relapse rate than SG patients (HR 0.75, 95% CI: 0.67-0.84)

Years since surgery

0 1 2 3 4 5 0 1 2 3 4 5

AGB SG RYGB

Adjusted cumulative remission (%n)

RYGB SG AGB AGB SG RYGB

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13 • November 17, 2018

RYGB had the largest & most persistent impact on HbA1c

Years since surgery Adjusted HbA1c ∆ from Baseline

  • 0.45% (-0.63, -0.27)

∆ HbA1c

  • 0.42% (-0.78, -0.05)

0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5

AGB SG RYGB

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14 • November 17, 2018

Adverse event analyses were restricted to a subset of sites:

  • Health systems with existing linkages to insurance claims & death

data or sites with sufficient samples & ability to link to claims & death data

  • 34,089 adults from 10 sites in 5 CDRNs
  • Focus here on 5-year outcomes:
  • Reoperation
  • Reoperation with endoscopy
  • Rehospitalization
  • Mortality
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15 • November 17, 2018

Adjusted 5-year Adverse Events

blank SG (n=15504) RYGB (n=18056) AGB (n=1154) Any reoperation 18% 20% 28% Any reoperation or endoscopy 23% 30% 31% Rehospitalization (all cause) 33% 38% 42% Death (all cause) 0.84% 0.89% 1.08%

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16 • November 17, 2018

Limitations

  • Confounding that may have persisted despite covariate & propensity score

adjustment

  • Missing BMI, HbA1c data may introduce bias
  • Sensitivity analyses suggest missing data were unlikely to change the interpretation
  • f our main results
  • Comorbid health conditions identified from ICD-9 may underestimate

prevalence, can be inaccurately coded, & do not account for severity

  • AGB procedure under-represented as often carried out in small ambulatory

surgical centers

  • DM medication use estimated from prescribing data, not dispensing, &

does not account for adherence

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17 • November 17, 2018

Conclusions

  • Among patients from diverse clinical & geographical settings, SG &

RYGB led to substantial weight loss & improvements in diabetes

  • Plus superior weight loss & diabetes outcomes, and less reoperation,

reintervention and rehospitalization than AGB

  • Compared with SG, RYGB resulted in:
  • Moderate additional weight loss
  • Overall, similar rates of DM remission
  • Larger & more persistent improvement in glycemic control
  • Lower rates of diabetes relapse
  • More reoperation, reintervention, & rehospitalization
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18 • November 17, 2018

Broader Implications

  • PCORnet allows for efficient research in a large, geographically- &

racially-diverse population accessing academic & community health care settings

  • Stakeholder engagement ensured clinical relevance
  • The data enabled timely comparisons of the effectiveness of common

procedures that:

  • Can help patients & clinicians make clinical decisions that best reflect the

individual’s risks & benefits

  • Can help payers understand when a particular procedure may/may not hold

particular benefit

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19 • November 17, 2018

Learn More

  • www.pcori.org
  • info@pcori.org
  • #PCORI2018
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20 • November 17, 2018

Questions?

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21 • November 17, 2018

Thank You!

Kathleen M. McTigue, MD MPH

Associate Professor of Medicine, Epidemiology & Clinical/Translational Science, University of Pittsburgh

Neely Williams, MDiv

Community co-Principal Investigator, Mid-South Clinical Research Network & Meharry-Vanderbilt Alliance Community Partner