What this is
- The REWIND trial demonstrated cardiovascular benefits of dulaglutide in patients with type 2 diabetes.
- This analysis explored how changes in cardiovascular risk factors mediate these benefits.
- Key mediators identified include glycated hemoglobin () and urine albumin/creatinine ratio ().
Essence
- Dulaglutide's cardiovascular benefits in type 2 diabetes are partly mediated by reductions in and . Changes in weight, blood pressure, and LDL cholesterol did not mediate these effects.
Key takeaways
- Changes in and were associated with 36.1% and 28.5% mediation of dulaglutide's effect on major adverse cardiovascular events (MACE), respectively.
- When both and were considered together, they accounted for 65.4% of dulaglutide's effect on MACE, indicating a significant combined mediating effect.
- No mediation was observed from changes in weight, systolic blood pressure, or LDL cholesterol, suggesting that glycemic control and renal function are critical for cardiovascular benefits.
Caveats
- This analysis is exploratory and post hoc, meaning it is hypothesis-generating rather than definitive.
- The mediation estimates are derived from models that do not prove causation, and further evaluation is needed to confirm these relationships.
Definitions
- HbA1c: A measure of average blood glucose levels over the past 2-3 months, used to assess diabetes control.
- UACR: Urine albumin-to-creatinine ratio, a test used to assess kidney function and damage.
AI simplified
Background
Outcome trials evaluating cardiovascular (CV) effects of glucagon-like peptide-1 (GLP-1) receptor agonists have consistently demonstrated the benefit and safety of these agents in populations with type 2 diabetes (T2D) [1–7]. Some of these agents have significantly reduced major adverse cardiovascular event (MACE) outcomes, prompting revisions to the placement of such treatments in the guidance algorithms from professional societies [8–11]. The mechanisms through which GLP-1 receptor agonists exert these beneficial effects are not completely understood. Recognized effects of these agents that might contribute to improved CV outcomes include improvements in glycemic control, reduction in weight and adiposity, reduction in blood pressure, improved lipid profiles, and reduction in diabetes-associated complications including renal disease [12–14].
The Researching cardiovascular Events with Weekly INcretin in Diabetes (REWIND; NCT01394952↗) trial showed that, in patients with T2D and multiple CV risk factors or established CV disease, dulaglutide 1.5 mg once weekly reduced the incidence of a composite outcome comprising nonfatal myocardial infarction, nonfatal stroke, or death from CV causes or unknown causes (MACE) compared to placebo, with an observed hazard ratio (HR) of 0.88 (95% CI 0.79, 0.99; p = 0.026) [15]. The trial also demonstrated beneficial effects of dulaglutide on glycated hemoglobin (HbA1c), body weight, waist-to-hip ratio (WHR), systolic blood pressure (SBP), and low density lipoprotein (LDL) cholesterol [15]. Here, we report the results of an exploratory analysis evaluating these factors as potential mediators of the reduction in MACE.
Methods
Study design and participants
The REWIND study design and eligibility criteria have been published previously [15–17]. Briefly, people who were at least 50 years of age or older with type 2 diabetes, a HbA1c ≤ 9.5% on stable doses of up to 2 oral glucose lowering drugs with or without basal insulin, a prior CV event or at least 2 CV risk factors, and a body mass index ≥ 23 kg/m2 were included. Participants were randomly assigned to the addition of once weekly subcutaneous dulaglutide 1.5 mg or placebo and the usual standard of care (as informed by current country guidelines). Key exclusion criteria were an estimated glomerular filtration rate less than 15 mL/min per 1.73 m2, cancer in the previous 5 years, severe hypoglycemia in the previous year, life expectancy less than 1 year, a coronary or cerebrovascular event within the previous 2 months, and plans for revascularization. A complete list of inclusion and exclusion criteria is given in the appendix (pp 151–55) of the primary results paper [15].
Statistical analysis
A mediation analysis approach [18] was used to estimate the degree to which the effect of one or more of the CV risk factors previously found to be favorably affected by dulaglutide could statistically account for its effect on the primary MACE outcome. These risk factors included HbA1c, LDL, body weight, SBP, WHR, and UACR. The statistical analysis involves the effect of these variables calculated in two ways, i.e., change from baseline and updated mean. Change from baseline is defined as the last observed change from baseline before the occurrence of MACE and the updated mean is defined as the mean value considering all the prior values of the variable before the occurrence of MACE. The effect of dulaglutide was re-estimated after including the updated mean and change from baseline for these CV risk factors during the entire period of observation in the trial.
The epidemiologic relationship between each of these variables and the primary MACE outcome was estimated by separate Cox models fitted using either (1) the updated mean value of the variable until a MACE occurred or the end of the period of observation, or (2) the change from baseline for the variable to the last measurement before an event or the end of observation. The only independent variable for each model was the variable being assessed. WHR analyses were performed separately for each sex because of known sex-related differences [15].
For those variables for which either the updated mean or the change from baseline was significantly associated with the primary MACE endpoint at a nominal p-value of 0.05, the hazard ratio for dulaglutide vs placebo of the primary MACE outcome was then re-estimated using a separate Cox model. The model included treatment group, the baseline value of the measurement, and the updated mean or the change from baseline of the variable, respectively as time-dependent covariates. These produced univariate models of the treatment effect adjusted for each potential mediator. The proportion of the effect of dulaglutide mediated by the variable was estimated by 100 x (ln HRunadjusted – ln HRadjusted))/ln HRunadjusted where ln(HRunadjusted) is the natural logarithm of the hazard ratio comparing dulaglutide to placebo from the Cox model incorporating only the treatment effect (i.e., the value from the primary analysis) [15], and ln(HRadjusted) is the natural logarithm of the hazard ratio from the model incorporating the potential mediator [19–25]. This estimate of mediation proportion effect and the 95% confidence intervals were computed and reported for both the change from baseline and updated mean of the variable separately.
All variables that were identified as possible mediators when analyzed individually were included together in a multivariable Cox model. Specifically, the hazard ratio of dulaglutide vs placebo on the primary MACE outcome was re-estimated after adjusting for the baseline value of each included variable, the change over time for each variable, and an interaction term for the included variables. As above, this was performed twice, using either the updated mean or the change from baseline of the variables. The proportion of treatment effect accounted for by these multivariable models was evaluated using the method described above for univariate models. SAS version 7.15 was used for all of the statistical analyses.
Results
Effects of dulaglutide on potential mediators over time
Re-estimating the effect of dulaglutide on the MACE outcome after accounting for change in HbA1c, the observed hazard ratio changed from 0.88 to either 0.90 (95% CI 0.80, 1.01) or 0.92 (95% CI 0.82, 1.04) when the change from baseline or the updated mean was used, respectively (Table 1). Corresponding proportional mediation effects were calculated to be 16.7% and 36.1%, respectively. Similarly, after accounting for the change in UACR, the observed hazard ratio of dulaglutide vs placebo on the MACE outcome changed to 0.91 (95% CI 0.80, 1.04) and 0.91 (95% CI 0.80, 1.04) for the change from baseline and the updated mean, respectively, with proportional mediation effects calculated to be 25.4% and 28.5%, respectively (Table 1).
Effects of treatment on potential mediators over time up to 6 years: dulaglutide versus placebo. Dulaglutide significantly reduced HbA1c, body weight, WHR, SBP, LDL, and UACR over time from baseline compared to placebo.hemoglobin A1c,low density lipoprotein,least squares mean,systolic blood pressure,standard error,urine albumin creatinine ratio,waist-to-hip ratio HbA1c LDL LSM SBP SE UACR WHR
| Potential mediators | |||||||
|---|---|---|---|---|---|---|---|
| HbA1c (%)a | Body weight (kg) | Systolic BP (mmHg) | LDL (mmol/L) | UACR (mg/mmol)a | WHR in men (m) | WHR in women (m) | |
| Baseline value for dulaglutideb | 7.3% (1.1) | 88.5 (18.4) | 137.1 (16.6) | 2.56 (0.98) | 1.80 (0.70–6.60) | 1.02 (0.07) | 0.94 (0.07) |
| Baseline value for placebob | 7.4% (1.1) | 88.9 (18.6) | 137.3 (17.0) | 2.56 (0.98) | 1.88 (0.70–7.38) | 1.02 (0.07) | 0.95 (0.07) |
| LSM change from baseline (CI) | − 0.61 (− 0.65, − 0.58)* | − 1.50 (− 1.70, − 1.31)* | − 1.70 (− 2.07, − 1.33)* | − 0.05 (− 0.08, − 0.02)* | − 3.05 (− 4.35, − 1.75)* | − 0.003 (− 0.006, − 0.000)* | − 0.005 (− 0.008, − 0.001)* |
| HR of updated mean value of variable on MACE | 1.087 (1.033, 1.144)* | 0.994 (0.983, 1.005) | 0.999 (0.995, 1.004) | 1.054 (0.958, 1.159) | 1.003 (1.002, 1.004)* | 1.876 (0.277, 12.721) | 2.645 (0.295, 23.742) |
| HR of dulaglutide on MACE (after adjusting for the baseline and updated mean value of the variable) | 0.923(0.819, 1.039)c | 0.889(0.784, 1.007)c | 0.880 (0.787, 0.984) | 0.937c(0.811, 1.082) | 0.914c(0.804, 1.039) | 0.926(0.776, 1.104)c | 0.915(0.721, 1.160)c |
| Percentage mediated by updated mean towards the effect of dulaglutide on MACEd | 36.1 | 6.2 | − 1.7 | 48 | 28.5 | 23 | 45 |
| HR of change from baseline value of variable on MACE | 1.047 (1.000, 1.008)* | 0.998 (0.988, 1.008) | 1.000 (0.996, 1.003) | 1.064 (0.984, 1.151) | 1.002 (1.002, 1.003)* | 1.434 (0.310, 6.631) | 1.828 (0.296, 11.284) |
| HR of dulaglutide on MACE (after adjusting for the baseline and change from baseline value of the variable) | 0.9(0.801, 1.013)c | 0.896(0.791, 1.014)c | 0.880 (0.787, 0.984) | 0.937(0.811, 1.083)c | 0.91(0.801, 1.035)c | 0.925(0.776, 1.103)c | 0.913(0.720, 1.158)c |
| Percentage mediated by change from baseline toward the effect of dulaglutide on MACEd | 16.7 | 12.3 | − 1.5 | 48.6 | 25.4 | 22.3 | 44.2 |
| HbA1c (%) and UACR (mg/mmol) | |
|---|---|
| HR(95% CI) of dulaglutide on MACEa(after adjusting for the baseline and updated mean value of the variable) | 0.957 (0.838, 1.093) |
| Percentage mediated by updated mean towards the effect of dulaglutide on MACEa | 65.4 |
| HR(95% CI) of dulaglutide on MACEa(after adjusting for the baseline and change from baseline value of the variable) | 0.929 (0.815, 1.060) |
| Percentage mediated by change from baseline towards the effect of dulaglutide on MACEa | 41.7 |
Discussion
This exploratory mediation analysis of the REWIND trial showed that the change in HbA1c was associated with 17–36% mediation on dulaglutide’s effect on MACE, and the change in UACR was associated with 25–29% on dulaglutide’s effect on MACE. It also showed that changes in both HbA1c and UACR together potentially mediated 42–65% of dulaglutide’s effect on MACE, and that HbA1c and UACR acted independently of each other. The mediation proportions that were calculated take into account the difference between the adjusted and unadjusted HRs, where the unadjusted HR remains the same as the HR for the primary endpoint reported in the original REWIND trial. The adjusted HRs are calculated separately by adjusting for various factors in the model and they are exploratory in nature. Therefore, any clinical or physiologic inferences will need further evaluation.
The only other existing analysis using the mediation analysis approach in GLP1- receptor agonists outcome trials on CV outcome was an exploratory analysis of the LEADER trial, which also investigated potential mediators to identify the effect of liraglutide on MACE [1]. The potential mediators investigated were HbA1C, body weight, UACR, confirmed hypoglycemia, sulfonylurea use, insulin use, systolic blood pressure, and LDL cholesterol. That analysis identified both HbA1c and UACR as potential mediators for effects on MACE in patients with type 2 diabetes using Cox models. The estimated effects were 10–41% for HbA1c and 22–29% for UACR, values similar to our findings. Also consistent with our analysis, body weight, SBP, and LDL were not found to be mediators for MACE reduction.
Our multivariable analysis found that changes in HbA1c and UACR together might mediate 42–65% of the effect of dulaglutide on MACE outcomes. This association could be due to the changes in these variables themselves, or more likely to changes in underlying biologic mechanisms that were reflected by these variables. Candidate mechanisms for HbA1c include direct effects of glucose on vasculature as well as indirect metabolic effects on cardiovascular disease [26]. Recent meta-regression analyses demonstrating a relationship in the degree of glucose lowering with GLP-1 receptor agonists and cardiovascular benefit provides some support for a direct glucose effect [27]. Changes in UACR likely reflect concomitant changes in endothelial function and renal function that may in turn be mediating the cardiovascular benefit [28], but independent of mean systolic blood pressure.
Neither our analysis nor the mediation analysis of the LEADER trial [1] identified other potential mediators. This may be due to either the size of the effect on these potential mediators (for example, LDL changed only 0.05 mmol/L) and/or the possibility that these changes are not related to the cardiovascular benefit of dulaglutide or liraglutide. Even with the mediation of HbA1c and UACR combined in the multi-factor model accounting for 65% (for the updated mean) of the effect of dulaglutide on MACE outcome, there still remains an unexplained percentage of the effect of dulaglutide.
Strengths of our findings include the long follow-up (median follow-up of 5.4 years), high study retention (97%), and high dulaglutide adherence (82%) in REWIND [15]. In addition, the MACE outcome was ascertained and adjudicated using the highest standards. Limitations include the fact that this is a post hoc exploratory analysis and therefore should be considered hypothesis-generating rather than providing definitive observations. Although we applied a widely accepted method of mediation analysis, any mediation analysis can only support (but not prove) the hypothesis that the identified mediators or factors linked to them are causally linked to the outcome. As noted above, although changes in HbA1c and UACR appeared to partly mediate the beneficial effects of dulaglutide, it is not known how these observations relate to the actual mechanism of benefit. Nonetheless, these findings add to the evolving body of literature reporting on mediators of MACE in patients with type 2 diabetes treated with GLP-1 receptor agonists.
In conclusion, the results of these analyses suggest a substantial portion of the benefits of dulaglutide on MACE may be associated with reduction of HbA1c and UACR. These effects appear to be additive, with up to 65% of the benefit statistically explained by these variables together, although residual mediators of benefit of dulaglutide remain unexplained.