Cardiometabolic Risk Management Intervention Model

This model includes behavioral and pharmaceutical interventions aimed at: 1) improving blood pressure and LDL-cholesterol control via increased adherence to prescribed medication; 2) increasing exercise; 3) decreasing BMI/weight; 4) improving control of fasting plasma glucose; 5) decreasing tobacco use.

Altering an individual’s risk factor exposures is expect to improve outcomes for many cardiometabolic conditions, including coronary artery disease and ischemic stroke.

This model requires a simulant to have attributes of: age, sex, SBP, LDL-C, BMI, FPG, cigarette smoking.

It adds attributes of: untreated SBP, untreated LDL-C, untreated BMI, untreated FPG, untreated smoking, polypill prescription, hypertension prescription ramp position, prescription for lipid-lowering therapies, lifestyle modification, education status, medication outreach status, adherence propensity, adherence status, last measured SBP, last measured LDL-C, follow-up, visit propensity, LDL-C prescription initiation propensity, SBP prescription initiation propensity, polypill initiation propensity.

[group types of variables]

This document contains an overview of the interventions and the simulation design; for specifics, please see the sections linked in the table of contents below.

Definitions of terms and abbreviations

Term or Abbreviation

Definition

Note

BMI

Body Mass Index

Risk Factor

FPG

Fasting Plasma Glucose

Risk Factor

HbA1c

Hemoglobin A1c

Measures blood glucose control over the last 2-3 months

LDL-C

Low Density Lipoprotein Cholesterol

Risk Factor

SBP

Systolic blood pressure

Risk Factor

DBP

Diastolic blood pressure

Risk Factor; not currently modeled as part of GBD, but used clinically to define hypertension

Stage 1 hypertension

SBP 130-139 OR DBP 80-89

American Heart Association/American College of Cardiology guidelines

Stage 2 hypertension

SBP 140 or higher OR DBP 90 or higher

American Heart Association/American College of Cardiology guidelines

PDC

Percent days covered

\(\frac{Number\ of\ days\ in\ period\ medication\ taken}{Number\ of\ days\ in\ period}\)

Affected Outcomes

Outcome

Effect

Modeled?

Note (ex: is this relationship direct or mediated?)

SBP

additive shift

yes

there is a “ramp” of increasing intensity of treatments

LDL-C

multiplicative shift

yes

options include not on treatment, low-intensity statin, high-intensity statin;

BMI

multiplicative (% BMI lost)

yes

[[need more detail on this effect; how to handle mediation]]

FPG

additive

yes

Tobacco

?

yes

Adherence

which interventions affect this

Intervention Overview

The interventions included in this model include

  1. Outreach

  2. Polypill (fixed dose combination)

  3. Lifestyle modification

The outreach intervetion is intended to increase adherence to antihypertensives and lipid-lowering therapies to treat elevated SBP and/or LDL-C. The polypill intervention is also intended to increase adherence, in this case to antihypertensive medication, by replacing multiple individual medications with a single fixed-dose combination pill containing multiple classes of antihypertensive medication. For both of these interventions, simulants are considered adherent to their prescribed medication(s) if their PDC value for the timestep is 80% or greater.

The lifestyle modification intervention is aimed at lowering FPG/HbA1c values and reducing BMI. This is accomplished via enrollment into a structured diet and exercise program consisting of
  1. A CDC-approved curriculum with lessons, handouts, and other resources to help you make healthy changes.

  2. A lifestyle coach, specially trained to lead the program, to help you learn new skills, encourage you to set and meet goals, and keep you motivated. The coach will also facilitate discussions and help make the program fun and engaging.

  3. A support group of people with similar goals and challenges. Together, you can share ideas, celebrate successes, and work to overcome obstacles. In some programs, the participants stay in touch with each other during the week. It may be easier to make changes when you’re working as a group than doing it on your own. [https://www.cdc.gov/diabetes/prevention/lcp-details.html]_

Todo

Add to the following table to include known outcomes affected by the intervention, which are not in the simulation model, as it is important to recognize potential unmodeled effects of the intervention and note them as limitations as applicable.

Baseline Coverage Data

Baseline coverage of treatments for LDL-C and SBP are substantial and expected to vary by age, sex, and time. To initialize simulants, researchers will fit a multinomial regression to NHANES data to use as a prediction of the probability of each treatment for a simulant with a known age, sex, and measured LDL-C and SBP level. [[Should this also predict which simulants are non-adherent to treatment?]]

This initialization scheme will also allow initialization of “untreated LDL-C” and “untreated SBP” attributes, which refer to what a simulants risk exposure would be, if they were not receiving treatment. Individuals who are initialized to be receive treatment will also need to be initialized to have a follow-up visit date somehow.

Baseline coverage of polypill, medication outreach, and lifestyle modification education are all low, and we will assume that they are 0%. (This means that we will can initialize the untreated BMI, FPG, and smoking risk exposures to be equal to the actual BMI, FPG, and smoking exposures.)

Parameter tables and additional information can be found in the initialization document.

Vivarium Modeling Strategy

The purpose of this simulation is to assess the impact of three interventions on cardiometabolic outcomes. The three interventions are: outreach, and polypill, and lifestyle. [Additional detail useful here?]

Detailed information for each intervention can be found in the three sections linked below.

Modeled Outcomes

Outcome

Outcome type

Outcome ID

Affected measure

Effect size measure

Effect size

Note

SBP

Risk exposure

107

Measure of SBP

absolute decrease

Dependent on drug class and dosage; given in parameter table in initialization document

LDL-c

Risk exposure

367

Measure of LDL-c

absolute decrease

Dependent on drug class and dosage; given in parameter table in initialization document

BMI

Risk exposure

108

Measure of BMI

absolute decrease

Dependent on adherence to lifestyle intervention

FPG

Risk exposure

105

measure of FPG

absolute decrease

Dependent on adherence to lifestyle intervention

Tobacco

Risk exposure

98

absolute decrease; cessation

Dependent on adherence to lifestyle intervention

Affected Outcomes

Assumptions and Limitations

Validation and Verification Criteria

References