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CVD Risk Reduction: A
Population-Wide Intervention
James Leathers
August 24th, 2016
Case
• 66 yo White Male
• PMH
– DM
– Hypercholesteremia
• SH: 1-2 glasses of whiskey per week
• FH:
– Father: deceased, MI, 62yo
– Mother: deceased, breast CA, 70
• PE: BP 122/78, HR 88, RR 14, BMI 35
– CV: RRR no MRG
– Lungs: CTAB
– Abdomen: NTND, NBS
• Labs:
– Total cholesterol 220; HDL 33
• Medications
– Statin
ASCVD Calculation
• Age 66
– HDL: 33
– Total cholesterol 220
– SBP 122
– Diabetes
– Non-smoker
– HTN
• 10 year ASCVD Risk: 29.8%; Lifetime: N/A
AHA Diabetes Statistics
• 2010:
– 6.4% of world population have DM
– 9% of US population have DM
– 35% of US population has pre-DM
• 2030 projection:
– 7.7% of world population
Community Resources
Aggregate Data
• 20 patients (11M, 9F)
• Race: 15 W, 5 AA
• Mean HDL: 42.75
• Mean total cholesterol: 186
• Mean TRG: 123
• Mean BMI: 32
• DM: 60%; HTN tx: 45%, Smoker?: 50%
• Systolic BP: 136
Project: Target Population
• Patients with DM at risk for ASCVD
Target of Risk Reduction:
DM A1C Improvement
• Why:
– Elevated A1C has been shown to be directly
associated with increased risk of ASCVD
– I believe that reducing A1C will reduce the risk of
ASCVD
Planned Intervention:
• Community Resource Organization
– Pay a public health worker $5000 to create a
weekly meeting targeted at providing diabetes
education, exercise resources, dietary assistance
and blood glucose monitoring training to diabetic
patients with highest ASCVD risk
Metric to Determine Improvement
• 1) Attendance of referred patients
• 2) Change in A1C after enrollment at set time
intervals
Time Course Needed
• 3 months, 6 months
– Assess changes in A1C
• 12 months
– Assess sustained changes in A1C
Defense
• Controlling my patients A1C will decrease the
risk for ASCVD events
• Management of diabetes can be
overwhelming for patients
• Patients need support
• This project, if successful, can be potentially
applied to patients across the country

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Cvd risk reduction

  • 1. CVD Risk Reduction: A Population-Wide Intervention James Leathers August 24th, 2016
  • 2. Case • 66 yo White Male • PMH – DM – Hypercholesteremia • SH: 1-2 glasses of whiskey per week • FH: – Father: deceased, MI, 62yo – Mother: deceased, breast CA, 70
  • 3. • PE: BP 122/78, HR 88, RR 14, BMI 35 – CV: RRR no MRG – Lungs: CTAB – Abdomen: NTND, NBS • Labs: – Total cholesterol 220; HDL 33 • Medications – Statin
  • 4. ASCVD Calculation • Age 66 – HDL: 33 – Total cholesterol 220 – SBP 122 – Diabetes – Non-smoker – HTN • 10 year ASCVD Risk: 29.8%; Lifetime: N/A
  • 5. AHA Diabetes Statistics • 2010: – 6.4% of world population have DM – 9% of US population have DM – 35% of US population has pre-DM • 2030 projection: – 7.7% of world population
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  • 9. Aggregate Data • 20 patients (11M, 9F) • Race: 15 W, 5 AA • Mean HDL: 42.75 • Mean total cholesterol: 186 • Mean TRG: 123 • Mean BMI: 32 • DM: 60%; HTN tx: 45%, Smoker?: 50% • Systolic BP: 136
  • 10. Project: Target Population • Patients with DM at risk for ASCVD
  • 11. Target of Risk Reduction: DM A1C Improvement • Why: – Elevated A1C has been shown to be directly associated with increased risk of ASCVD – I believe that reducing A1C will reduce the risk of ASCVD
  • 12. Planned Intervention: • Community Resource Organization – Pay a public health worker $5000 to create a weekly meeting targeted at providing diabetes education, exercise resources, dietary assistance and blood glucose monitoring training to diabetic patients with highest ASCVD risk
  • 13. Metric to Determine Improvement • 1) Attendance of referred patients • 2) Change in A1C after enrollment at set time intervals
  • 14. Time Course Needed • 3 months, 6 months – Assess changes in A1C • 12 months – Assess sustained changes in A1C
  • 15. Defense • Controlling my patients A1C will decrease the risk for ASCVD events • Management of diabetes can be overwhelming for patients • Patients need support • This project, if successful, can be potentially applied to patients across the country

Editor's Notes

  1. The reason I selected the patient for my case example, was because he was a heavier man, with diabetes, and overall a fairly good representation of many of the patients we treat here at Vanderbilt. Diabetes, in particular, is a main risk factor for ASCVD, and as we will see later, will be the target of the population-level intervention that I propose to employ. But before we get there, I wanted to talk a little bit about some diabetes statistics provided by the American Heart Association.
  2. Before we talk about my proposal, I wanted to cue you in to some of the community resources available for finding other public health projects that have already been implemented. www.healthynashville.org, is a website that allows you to find projects in Nashville and across the nation. From the homepage, click on the resources and tools tab, and the click on the find promising practices link.
  3. From here, you can search projects by keywords. Since my intervention will focus on diabetes, I will start by typing diabetes in the text box in the bottom right corner of the screen.
  4. The first project to pop up, is a diabetes self management program in Conneticut. Here, I can read more about the goals and mission of the project, read about any results and accomplishments published as part of the project, and even contact the project coordinator.
  5. So now that I have some ideas from other projects proposed that are related to my intervention, we can finally talk about my proposal. For my project, my target population will be patients with DM, at highest risk for ASCVD. Since we are here at Vanderbilt, my intervention will focus on patients of VUMC.
  6. The target of of ASCVD risk reduction, will be diabetes control. Specifically, using the objective marker of hemoglobin A1C levels over time. Why might you ask? Well, elevated A1C levels have been shown to be directly associated with an increased risk of ASCVD complications. Furthermore, I believe the data that suggests that reducing A1C will also reduce the risk of ASCVD.
  7. The first metric to determine improvement, is whether or not patients are attending the diabetes training meetings because an intervention can only be successful if its participants comply with the intervention. The second metric to determine improvement, is the change in A1C after enrollment at set time intervals of 3 months, 6months and 1 year.
  8. I support this intervention because controlling my patients A1C will decrease the risk for ASCVD events. I specifically chose this project because the management of diabetes can often be overwhelming to patients, and they will need a lot of support. The weekly structure of this intervention, will allow patients to receive the appropriate education that will train them to manage this chronic disease on their own. If successful, this project could be potentially applied to patients across the country and help reduce diabetes morbidity and mortality.