Target Population and Study Perspective
The target population of this study is U.S. adults with increased risk of type 2 diabetes, including overweight or obese, or normal-weight adults with a strong family history of diabetes, based on the original intervention study we used for the analysis. The mean age of participants in the original study was approximately 30 years in both almond and non-almond group with an average body mass index (BMI) of no less than 27 kg/m2. The randomized control trial recruited 150 participants, of which 48 men and 89 women completed all study activities. Each of the five arms in the study had similar sex ratios. [8] This current study applied the healthcare sector’s perspective to inform individual decisions on using daily almond consumption for CVD primary prevention.
Base-case Decision Model
We developed a decision model for CVD primary prevention among adults with 42.5 grams of (1.5 ounces) almond consumption per day (almond strategy), as compared with no almond consumption (non-almond strategy) to project 1-year health outcomes and CVD-related costs (Figure 1). Previous studies on statin have shown that one year could be sufficient for CVD primary prevention;[9] therefore, we chose to use one year for our base-case analysis and to further assess the long-term effect in the sensitivity analysis. We referred to a previous paper to develop the model structure.[10] Our previous meta-analysis found a significant decrease in LDL-C (low-density lipoprotein cholesterol) among almond intervention groups, as compared with no almond controls.[2] Level of LDL-C was applied as the determinant for possible risk for future CVD events. Individuals with lower or normal levels of LDL-C, who did not have CVD, started in the “disease-free” health state, either in the almond or non-almond strategy. We assumed that all the probabilities of CVD events were the same in the almond and non-almond strategy if their LDL-C increased. The probabilities of changes in LDL-C for the almond and non-almond strategy were obtained through contact with the study authors.[8] Transitions from the “disease-onset” health state to CVD events, including acute myocardial infarction (MI), stroke, and subsequent procedures or outcomes were based on probabilities derived from targeted literature reviews (Table 1). The probabilities of developing outcomes in the one-year time frame were converted from the original data to rates and then to probabilities according to the following equations,[11] assuming that the risk was the same every year: (see Equations 1 and 2 in the Supplementary Files)
where r is the rate from original data; p is the original probability for the time frame in the literature; t is the original study duration; t’ is the time frame in the analysis, equaling one in our base-case model and ten in the 10-year risk prevention model.
After an acute MI event, health states were further classified as: 1) undergoing a procedure (coronary artery bypass graft (CABG), percutaneous transluminal coronary angioplasty (PTCA)), 2) no procedure (but managed medically), 3) having a MI-related death. After an event of stroke, health states were further classified as: 1) asymptomatic stroke, 2) recurrent stroke, and 3) death from stroke. Once in a CVD disease state, individuals could not transition back to a “disease-free” state. After an acute disease state, individuals transitioned to a CHD state.
Cost of Therapy
The cost of almonds was derived from a publicly available source as the current price of almonds in the U.S. market.[12] The annual cost was calculated based on the consumption of 42.5 grams per day. The costs of CVD events and costs of treatments were derived from recent literature.[13-16] The costs of each procedure (i.e., CABG or PTCA) included procedural and physician fees as well as costs for hospital stays and ancillary services. For procedures following the CHD state, we considered costs for re-hospitalization, outpatient and rehabilitation services, medication, and physician fees.[14] The costs for medical therapy and emergency admission for MI were used for the “no procedure” outcome. For the costs for direct death due to MI, we included physician fees, hospital stay expenses and ancillary services.[13] We used the first-year follow-up costs for stroke medication and rehabilitation as the cost for recurrent stroke.[15] The five-day hospitalization cost for cerebrovascular disease was used as the cost for death from stroke since the average cost and the length of stay is similar between the two events.[16] All the costs were adjusted to 2012 U.S. dollars, the year when the almond RCT [8] was conducted. Medical expenditure was adjusted using the Personal Health Care Index [17] and the almond cost was adjusted using Consumer Price Index.[18]
Quality-adjusted Life Year
Quality-adjusted life year (QALY) for each outcome was used as the effectiveness in the model. We assumed that the QALY of the disease-free stage was equal to 1. All input parameters in the model are listed in Table 1.
Cost per Quality-Adjusted Life Year Threshold
We used multiple cost-effectiveness thresholds based on resources available for the typical U.S. decision maker.[19] The threshold of $50,000-per-QALY was used as the lower boundary, which has been the ratio established by the U.S. government in 1970s that mandates Medicare coverage for end-stage renal disease (ESRD) patients.[20] The threshold of $100,000-per-QALY was used as the willingness to pay (WTP) of twice the per capital annual income of $54,000, which has been suggested by economists and the World Health Organization (WHO) as a reasonable threshold based on empirical estimates and economic theory.[20] The highest threshold of $200,000-per-QALY was based on the increase in health spending over time and surveys asking people about their WTP in exchange of health gains. [21, 22]
Sensitivity Analyses
We performed several one-way sensitivity analyses, in which the cost-effectiveness ratio was calculated by altering the following parameters identified from targeted literature reviews: 1) the probabilities of developing CVD in 10 years; 2) the costs of CABG and PTCA procedures; 3) the cost of almonds; and 4) the LDL-C response among participants with existing CVD. In the 10-year model, we applied a 3% per year discount rate to costs and effectiveness.[23]
We further conducted Monte Carlo probabilistic sensitivity analysis (PSA) with 10,000 simulations to address uncertainty. We extracted data from Pikula et al. and other literature [24-26] to estimate the distributions of key parameters.
Preferred alternative was chosen based on the net monetary benefit (NMB): (see Equation 3 in the Supplementary Files)
where l is the maximum WTP for health care, ∆is the difference in the mean effectiveness of two strategies, and ∆is the difference in the mean cost of two strategies.[27] TreeAge Pro 2018 was used to conduct the analyses.