Antihyperglycemic Therapies to Treat Patients With Heart Failure and Diabetes Mellitus

Methods to predict heart failure in diabetes patients

INTRODUCTION

Type 2 diabetes mellitus (T2DM) is one of the leading causes of cardiovascular disease and powerful predictor for new-onset heart failure (HF).

AREAS COVERED

We focus on the relevant literature covering evidence of risk stratification based on imaging predictors and circulating biomarkers to optimize approaches to preventing HF in DM patients.

EXPERT OPINION

Multiple diagnostic algorithms based on echocardiographic parameters of cardiac remodeling including global longitudinal strain/strain rate are likely to be promising approach to justify individuals at higher risk of incident HF. Signature of cardiometabolic status may justify HF risk among T2DM individuals with low levels of natriuretic peptides, which preserve their significance in HF with clinical presentation. However, diagnostic and predictive values of conventional guideline-directed biomarker HF strategy may be non-optimal in patients with obesity and T2DM. Alternative biomarkers affecting cardiac fibrosis, inflammation, myopathy, and adipose tissue dysfunction are plausible tools for improving accuracy natriuretic peptides among T2DM patients at higher HF risk. In summary, risk identification and management of the patients with T2DM with established HF require conventional biomarkers monitoring, while the role of alternative biomarker approach among patients with multiple CV and metabolic risk factors appears to be plausible tool for improving clinical outcomes.

Nanoformulations of flavonoids for diabetes and microvascular diabetic complications

Diabetes is a chronic metabolic disease characterized by an excess of glucose in the blood. If the constant sugar level is not managed correctly in diabetic patients, it may lead to microvascular complications such as diabetic retinopathy, neuropathy, and nephropathy. There are several synthetic drugs for the management of diabetes; however, these drugs produce immense adverse effects in long-term use. Flavonoids are naturally occurring substances categorized in various classes. They are known for their diverse pharmacological actions, and one of them is prominent antihyperglycemic action and their activities in diabetic complications. In the last few decades, many research studies emphasized the potential of flavonoids in diabetes management. Nevertheless, most flavonoids are insoluble in water and cannot produce desired therapeutic action when administered in conventional dosage forms. To overcome this issue, flavonoids were formulated into different nanoformulations to enhance solubility, absorption, and therapeutic efficacy. This review article focuses on flavonoid nanoformulations and in vitro and in vivo studies reported to overcome diabetes mellitus and its complications.

Clinical Prediction Models for Heart Failure Hospitalization in Type 2 Diabetes: A Systematic Review and Meta-Analysis

Background Clinical prediction models have been developed for hospitalization for heart failure in type 2 diabetes. However, a systematic evaluation of these models' performance, applicability, and clinical impact is absent. Methods and Results We searched Embase, MEDLINE, Web of Science, Google Scholar, and Tufts' clinical prediction registry through February 2021. Studies needed to report the development, validation, clinical impact, or update of a prediction model for hospitalization for heart failure in type 2 diabetes with measures of model performance and sufficient information for clinical use. Model assessment was done with the Prediction Model Risk of Bias Assessment Tool, and meta-analyses of model discrimination were performed. We included 15 model development and 3 external validation studies with data from 999 167 people with type 2 diabetes. Of the 15 models, 6 had undergone external validation and only 1 had low concern for risk of bias and applicability (Risk Equations for Complications of Type 2 Diabetes). Seven models were presented in a clinically useful manner (eg, risk score, online calculator) and 2 models were classified as the most suitable for clinical use based on study design, external validity, and point-of-care usability. These were Risk Equations for Complications of Type 2 Diabetes (meta-analyzed c-statistic, 0.76) and the Thrombolysis in Myocardial Infarction Risk Score for Heart Failure in Diabetes (meta-analyzed c-statistic, 0.78), which was the simplest model with only 5 variables. No studies reported clinical impact. Conclusions Most prediction models for hospitalization for heart failure in patients with type 2 diabetes have potential concerns with risk of bias or applicability, and uncertain external validity and clinical impact. Future research is needed to address these knowledge gaps.

Cluster Analysis of Cardiovascular Phenotypes in Patients With Type 2 Diabetes and Established Atherosclerotic Cardiovascular Disease: A Potential Approach to Precision Medicine

OBJECTIVE

Phenotypic heterogeneity among patients with type 2 diabetes mellitus (T2DM) and atherosclerotic cardiovascular disease (ASCVD) is ill defined. We used cluster analysis machine-learning algorithms to identify phenotypes among trial participants with T2DM and ASCVD.

RESEARCH DESIGN AND METHODS

We used data from the Trial Evaluating Cardiovascular Outcomes with Sitagliptin (TECOS) study (n = 14,671), a cardiovascular outcome safety trial comparing sitagliptin with placebo in patients with T2DM and ASCVD (median follow-up 3.0 years). Cluster analysis using 40 baseline variables was conducted, with associations between clusters and the primary composite outcome (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina) assessed by Cox proportional hazards models. We replicated the results using the Exenatide Study of Cardiovascular Event Lowering (EXSCEL) trial.

RESULTS

Four distinct phenotypes were identified: cluster I included Caucasian men with a high prevalence of coronary artery disease; cluster II included Asian patients with a low BMI; cluster III included women with noncoronary ASCVD disease; and cluster IV included patients with heart failure and kidney dysfunction. The primary outcome occurred, respectively, in 11.6%, 8.6%, 10.3%, and 16.8% of patients in clusters I to IV. The crude difference in cardiovascular risk for the highest versus lowest risk cluster (cluster IV vs. II) was statistically significant (hazard ratio 2.74 [95% CI 2.29-3.29]). Similar phenotypes and outcomes were identified in EXSCEL.

CONCLUSIONS

In patients with T2DM and ASCVD, cluster analysis identified four clinically distinct groups. Further cardiovascular phenotyping is warranted to inform patient care and optimize clinical trial designs.

Growth differentiation factor-15, treatment with liraglutide, and clinical outcomes among patients with heart failure

AIMS

Associations between growth differentiation factor-15 (GDF-15), cardiovascular outcomes, and exercise capacity among patients with a recent hospitalization for heart failure (HHF) and heart failure with reduced ejection fraction (HFrEF) are unknown. We utilized data from the 'Functional Impact of GLP-1 for Heart Failure Treatment' (FIGHT) study to address these knowledge gaps.

METHODS AND RESULTS

FIGHT was a randomized clinical trial testing the effect of liraglutide (vs. placebo) among 300 participants with HFrEF and a recent HHF. Multivariable regression models evaluated associations between baseline GDF-15 and change in GDF-15 (per 1000 pg/mL increase from baseline to 30 days) with clinical outcomes (at 180 days) and declines in exercise capacity (6 min walk distance ≥ 45 m). At baseline (n = 249), median GDF-15 value was 3221 pg/mL (interquartile range 1938-5511 pg/mL). Participants in the highest tertile of baseline GDF-15 were more likely to be male and have more co-morbidities. After adjustment, an increase in GDF-15 over 30 days was associated with higher risk of death or HHF [hazard ratio 1.35, 95% confidence interval (CI) 1.11-1.64]. In addition, higher baseline GDF-15 (per 1000 pg/mL until 6000 pg/mL) and an increase in GDF-15 over 30 days were associated with declining 6 min walk distance (odds ratio 1.26, 95% CI 1.02-1.55 and odds ratio 1.37, 95% CI 1.12-1.69, respectively). GDF-15 levels remained stable among participants randomized to liraglutide.

CONCLUSIONS

An increase in GDF-15 over 30 days among patients in HFrEF was independently associated with an increased risk of cardiovascular events and declining exercise capacity. These results support the value of longitudinal GDF-15 trajectory in informing risk of heart failure disease progression.

Prediction of heart failure outcomes in patients with type 2 diabetes mellitus: Validation of the Thrombolysis in Myocardial Infarction Risk Score for Heart Failure in Diabetes (TRS-HFDM ) in patients in the ACCORD trial

AIM

To investigate the ability of the Thrombolysis in Myocardial Infarction Risk Score for Heart Failure in Diabetes (TRS-HF_DM ) to stratify patients with type 2 diabetes mellitus (T2DM) and high cardiovascular risk for heart failure (HF) hospitalization.

MATERIALS AND METHODS

We used data from the control group of the Action to Control Cardiovascular Risk in Diabetes Study Group (ACCORD) trial (n = 5123; mean follow-up 4.8 years). The TRS-HF_DM includes: prior HF (2 points), atrial fibrillation (1 point), coronary artery disease (1 point), estimated glomerular filtration rate <60 mL/min/1.73 m² (1 point), and urine albumin-to-creatinine ratio (>300 mg/g: 2 points; 30-300 mg/g: 1 point). We evaluated the discrimination (Harrell's C-index) and calibration (Nam-D'Agostino calibration statistic) of the TRS-HF_DM with regard to time to HF hospitalization or death due to HF.

RESULTS

The mean age of the participants was 62.8 ± 6.6 years, and 38% were women. The prevalences of TRS-HF_DM 0, 1, 2, 3 and ≥4 were 42.1%, 34.9%, 14.6%, 6.0% and 2.5%, respectively. Increasing TRS-HF_DM corresponded to an increasing HF risk: 1.3 per 1000 person-years for a TRS-HF_DM of 0 to 64.7 per 1000 person-years for TRS-HF_DM of ≥4. The TRS-HF_DM demonstrated robust discrimination of HF outcomes (C-index 0.78). Furthermore, the score was well calibrated for HF outcomes (calibration statistic P = 0.13). Similar results were seen in participants without baseline HF (C-index 0.75).

CONCLUSION

The TRS-HF_DM discriminates HF-specific risk among people with T2DM. The use of TRS-HF_DM to identify those who would maximally benefit from therapies that reduce HF risk warrants evaluation.

Renoprotective effects of sodium-glucose cotransporter-2 inhibitors and underlying mechanisms

PURPOSE OF REVIEW

Emerging data have demonstrated that sodium-glucose cotransporter-2 (SGLT2) inhibitors prevent cardiovascular events, especially heart failure-associated endpoints. Cardiovascular outcome trials have also suggested their renoprotective effects. One large clinical trial investigated renal primary endpoints and demonstrated that SGLT2 inhibitors slowed the progression of diabetic kidney disease (DKD). This review summarizes clinical trial data on renal outcomes and discusses potential underlying mechanisms.

RECENT FINDINGS

The EMPA-REG, CANVAS, and DECLARE-TIMI 58 studies revealed that SGLT2 inhibitors reduce the risk of cardiovascular events and concomitantly suggested that these drugs slow the progression of kidney disease in type 2 diabetes. The CREDENCE trial on patients with high-risk type 2 diabetes and chronic kidney disease demonstrated that canagliflozin treatment reduced the relative risk of a composite outcome, including end-stage kidney disease, serum creatinine doubling, and renal/cardiovascular death, by 30% in these patients. Animal experiments revealed that oxidative stress, inflammation, fibrosis, and tubuloglomerular feedback are underlying renoprotective mechanisms behind SGLT2 inhibitors.

SUMMARY

Recent clinical trials have established the renoprotective effects of SGLT2 inhibitors. Further investigations on mechanisms of these renoprotective effects will provide deeper insights and understanding of pathogenetic properties of DKD.

Review of Insulin Resistance in Dilated Cardiomyopathy and Implications for the Pediatric Patient Short Title: Insulin Resistance DCM and Pediatrics

Energy metabolism in the heart is affected during states of dysfunction. Understanding how the heart utilizes substrates in cardiomyopathy may be key to the development of alternative treatment modalities. Myocardial insulin resistance has been proposed as a possible barrier to effective glucose metabolism in the heart. Extensive literature on the topic in adult individuals exists; however, review in the pediatric population is sparse. The pathophysiology of disease in children and adolescents is unique. The aim of this paper is to review the current knowledge on insulin resistance in dilated cardiomyopathy while also filling the gap when considering care in the pediatric population.

A Stepwise Approach to the Management of Heart Failure and its Comorbidities

Modern medical and technological advances provide highly effective management for the treatment of patients with heart failure with reduced ejection fraction (HFrEF). In this review, the authors propose a 2-step approach to treatment that is straightforward, practical, and thorough. For the patient whose life now includes HFrEF, the physician's first step is to ensure that the patient is taking the 3 key medications ([1] renin-angiotensin inhibitors (angiotensin receptor/neprilysin inhibitors, angiotensin-converting enzyme inhibitors, or angiotensin receptor blockers), [2] β-blockers, and [3] mineralocorticoid receptor antagonists) recommended in guideline-directed doses to attain comprehensive receptor blockade. Significant coexisting medical issues are also characteristic in patients with HFrEF. Therefore, the physician's second step is to address the comorbidities of heart failure to fulfill comprehensive patient care. This review presents evidence to implement the management of HFrEF and heart failure comorbidities that will reduce cardiac mortality and hospitalization and to avoid treatments that are of no benefit or may cause harm.

Comparative Effectiveness of Primary Prevention Implantable Cardioverter-Defibrillators in Older Heart Failure Patients With Diabetes Mellitus

Background There are conflicting data regarding the benefit of primary prevention implantable cardioverter-defibrillators (ICDs) in patients with diabetes mellitus and heart failure (HF) with reduced ejection fraction. We aimed to assess the comparative effectiveness of ICD placement in patients with diabetes mellitus and HF with reduced ejection fraction. Methods and Results Data were obtained from the Get With the Guidelines-Health Failure registry, linked with claims from the Centers for Medicare & Medicaid Services. We used a Cox proportional hazards model censored at 5 years with propensity score matching. Of the 17 186 patients with HF with reduced ejection fraction from the Centers for Medicare & Medicaid Services claims database (6540 with diabetes mellitus; 38%), 1677 (646 with diabetes mellitus; 39%) received an ICD during their index HF hospitalization or were prescribed an ICD at discharge. Patients with diabetes mellitus and an ICD (n=646), as compared with those without an ICD (n=1031), were more likely to be younger (74 versus 78 years of age) and have coronary artery disease (68% versus 60%). After propensity matching, ICD use among patients with diabetes mellitus, as compared with those without an ICD, was associated with a reduced risk of all-cause mortality at 5 years after HF discharge (54% versus 59%; multivariable hazard ratio, 0.73; 95% CI, 0.64-0.82; P<0.0001). Ischemic heart disease did not modify the association between ICD use and all-cause mortality (P=0.95 for interaction). Similar results were seen in patients without diabetes mellitus. Conclusions Primary prevention ICD use among older patients with HF with reduced ejection fraction and diabetes mellitus was associated with a reduced risk of all-cause mortality. Our analysis supports current guideline recommendations for implantation of primary prevention ICDs among older patients with diabetes mellitus and HF with reduced ejection fraction.

Predictors of heart failure development in type 2 diabetes: a practical approach

Purpose of review

Although type 2 diabetes (T2D) is one of the most important risk factors that leads to the development of de novo heart failure, there are limited data, particularly from a practical/qualitative standpoint, about predictors of heart failure in this population.

Recent findings

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors have been shown to prevent the development of heart failure and the composite of heart failure and cardiovascular death in patients with T2D without known heart failure who have either established atherosclerotic vascular disease or multiple risk factors. The concept of primary prevention of heart failure has led many clinicians to inquire if there are specific risk/enrichment factors that may predict an increased risk of heart failure.

Summary

In this review, we identify some general and diabetes-specific risk factors that are associated with an increased risk of developing heart failure in people with T2D.

Impact of Regulatory Guidance on Evaluating Cardiovascular Risk of New Glucose-Lowering Therapies to Treat Type 2 Diabetes Mellitus: Lessons Learned and Future Directions

Responding to concerns about the potential for increased risk of adverse cardiovascular outcomes, specifically myocardial infarction, associated with certain glucose-lowering therapies, the US Food and Drug Administration and the Committee for Medicinal Products for Human Use of the European Medicines Agency issued guidance to the pharmaceutical industry in 2008. Glucose-lowering therapies were granted regulatory approval primarily from smaller studies that have demonstrated reductions in glycated hemoglobin concentration. Such studies were overall underpowered and of insufficient duration to show any effect on cardiovascular outcomes. The 2008 guidance aimed to ensure the cardiovascular safety of new glucose-lowering therapies to treat patients with type 2 diabetes mellitus. This resulted in a plethora of new cardiovascular outcome trials, most designed primarily as placebo-controlled noninferiority trials, but with many also powered for superiority. Several of these outcome trials demonstrated cardiovascular benefits of the newer agents, resulting in the first-ever cardiovascular protection indications for glucose-lowering therapies. Determining whether the guidance continues to have value in its current form is critically important as we move forward after the first decade of implementation. In February 2018, a think tank comprising representatives from academia, industry, and regulatory agencies convened to consider the guidance in light of the findings of the completed cardiovascular outcome trials. The group made several recommendations for future regulatory guidance and for cardiovascular outcome trials of glucose-lowering therapies. These recommendations include requiring only the 1.3 noninferiority margin for regulatory approval, conducting trials for longer durations, considering studying glucose-lowering therapies as first-line management of type 2 diabetes mellitus, considering heart failure or kidney outcomes within the primary outcome, considering head-to-head active comparator trials, increasing the diversity of patients enrolled, evaluating strategies to streamline registries and the study of unselected populations, and identifying ways to improve translation of trial results to general practice.

Clinical and Biomarker Predictors of Expanded Heart Failure Outcomes in Patients With Type 2 Diabetes Mellitus After a Recent Acute Coronary Syndrome: Insights From the EXAMINE Trial

Background Improved heart failure (HF) risk stratification after a recent acute coronary syndrome may identify those who can benefit from therapies that reduce HF risk. We aimed to identify clinical and biomarker predictors for expanded HF outcomes in patients with type 2 diabetes mellitus after recent acute coronary syndrome. Methods and Results The EXAMINE (Examination of Cardiovascular Outcomes with Alogliptin versus Standard of Care) trial was a multicenter, non-inferiority, double-masked, placebo-controlled study which randomized 5380 patients with type 2 diabetes mellitus after recent acute coronary syndrome to alogliptin or placebo. Baseline biomarkers were measured in 5154 patients: NT-proBNP (N-terminal pro-B-type natriuretic peptide), high-sensitivity troponin I, adiponectin, growth-differentiation-factor-15, and galectin-3. Our primary outcome was cardiovascular) death, HF hospitalization, elevated NT-proBNP during follow-up, or loop diuretics initiation. The association between clinical variables, biomarkers, and outcomes were assessed using Cox regression models. In the study population, the median age was 61.0 years, 67.7% were men, and 28.0% had baseline HF (median follow-up was 18 months). In multivariable analyses, NT-proBNP had the strongest association with the primary outcome (per log2, hazard ratio 1.24; Wald χ2 67.4; P<0.0001) followed by a prior HF history (hazard ratio 1.42; Wald χ2 20.8; P<0.0001). A model with clinical variables and biomarkers allowed for risk prediction for expanded HF outcomes (C-statistic=0.72). Discrimination results were similar for cardiovascular death or HF hospitalization. Conclusions Among patients with type 2 diabetes mellitus after recent acute coronary syndrome, the use biomarkers such as N-terminal pro-B-type natriuretic peptide and clinical variables enables risk stratification for expanded HF outcomes. Clinical Trial Registration URL: https://www.clinicaltrials.gov/. Unique identifier: NCT00968708.

Sex Differences in Cardiovascular Effectiveness of Newer Glucose-Lowering Drugs Added to Metformin in Type 2 Diabetes Mellitus

Background

Randomized controlled trials showed that newer glucose‐lowering agents are cardioprotective, but most participants were men. It is unknown whether benefits are similar in women.

Methods and Results

Among adults with type 2 diabetes mellitus not controlled with metformin with no prior use of insulin, we assessed for sex differences in the cardiovascular effectiveness and safety of sodium‐glucose‐like transport‐2 inhibitors (SGLT‐2i), glucagon‐like peptide‐1 receptor agonists (GLP‐1RA), dipeptidyl peptidase‐4 inhibitors, initiated as second‐line agents relative to sulfonylureas (reference‐group). We studied type 2 diabetes mellitus American adults with newly dispensed sulfonylureas, SGLT‐2i, GLP‐1RA, or dipeptidyl peptidase‐4 inhibitors (Marketscan‐Database: 2011–2017). We used multivariable Cox proportional hazards models with time‐varying exposure to compare time to first nonfatal cardiovascular event (myocardial infarction/unstable angina, stroke, and heart failure), and safety outcomes between drugs users, and tested for sex–drug interactions. Among 167 254 type 2 diabetes mellitus metformin users (46% women, median age 59 years, at low cardiovascular risk), during a median 4.5‐year follow‐up, cardiovascular events incidence was lower in women than men (14.7 versus 16.7 per 1000‐person‐year). Compared with sulfonylureas, hazard ratios (HRs) for cardiovascular events were lower with GLP‐1RA (adjusted HR‐women: 0.57, 95% CI: 0.48–0.68; aHR‐men: 0.82, 0.71–0.95), dipeptidyl peptidase‐4 inhibitors (aHR‐women: 0.83, 0.77–0.89; aHR‐men: 0.85, 0.79–0.91) and SGLT‐2i (aHR‐women: 0.58, 0.46–0.74; aHR‐men: 0.69, 0.57–0.83). A sex‐by‐drug interaction was statistically significant only for GLP‐1RA (P=0.002), suggesting greater cardiovascular effectiveness in women. Compared with sulfonylureas, risks of adverse events were similarly lower in both sexes for GLP‐1RA (aHR‐women: 0.81, 0.73–0.89; aHR‐men: 0.80, 0.71–0.89), dipeptidyl peptidase‐4 inhibitors (aHR‐women: 0.82, 0.78–0.87; aHR‐men: 0.83, 0.78–0.87) and SGLT‐2i (aHR‐women: 0.68, 0.59–0.78; aHR‐men: 0.67, 0.59–0.78) (all sex–drug interactions for adverse events P>0.05).

Conclusions

Newer glucose‐lowering drugs were associated with lower risk of cardiovascular events than sulfonylureas, with greater effectiveness of GLP‐1RA in women than men. Overall, they appeared safe, with a better safety profile for SGLT‐2i than for GLP‐1RA regardless of sex.

Sodium-Glucose Cotransporter-2 Inhibitors and Heart Failure Prevention in Type 2 Diabetes

Diabetes and heart failure (HF) are closely linked, with one causing a worse prognosis in the other. The majority of anti-hyperglycaemic agents primarily reduce risk of ischaemic microvascular events without targeting the mechanisms involved for diabetes cardiomyopathy and HF. Sodium-glucose cotransporter-2 (SGLT2) inhibitors have emerged as a novel class of glucose-lowering agents that have consistently reduced HF hospitalisations, unlike other agents. The authors discuss the current evidence and highlight possible future directions for the role of SGLT2 inhibitors in HF prevention.

Mechanisms by Which Glucagon-Like-Peptide-1 Receptor Agonists and Sodium-Glucose Cotransporter-2 Inhibitors Reduce Cardiovascular Risk in Adults With Type 2 Diabetes Mellitus

The growing global burden of type 2 diabetes mellitus confers significant morbidity and mortality in addition to significant cost to local health-care systems. In recent years, 2 classes of therapies have shown some promise in reducing the risk of adverse cardiovascular (CV) events: 1) glucagon-like-peptide-1 (GLP-1) receptor agonists and 2) sodium-glucose cotransporter-2 (SGLT-2) inhibitors. The mechanisms whereby these therapies reduce the risk of adverse CV outcomes are emerging. Both classes of therapies have overlapping yet distinct mechanisms of action. GLP-1 receptor agonists appear to target the incretin axis, inhibit gastric mobility pathways, modify CV risk factors through weight reduction, induce protection of ischemia/reperfusion injury and improve endothelial dysfunction. In comparison, SGLT-2 inhibitors appear to improve ventricular loading conditions, reduce sympathetic nervous system activation, reduce cardiac fibrosis, reduce renal hypoxia and renal-cardiac signalling, reduce left ventricular mass and improve cardiac energetics. In this review, we summarize the potential mechanisms whereby GLP-1 receptor agonists and SGLT-2 inhibitors improve CV outcomes in patients with type 2 diabetes and highlight evidence for their use in populations without diabetes.

Utilizing mobile technologies to improve physical activity and medication adherence in patients with heart failure and diabetes mellitus: Rationale and design of the TARGET-HF-DM Trial

Heart failure (HF) and diabetes mellitus (DM) are major public health issues that place significant burden on patients and health care systems. Patients with both HF and DM are at higher risk of adverse cardiovascular and HF outcomes than those with either disease in isolation. Different antihyperglycemic medications (even within the same medication class) have conflicting results of benefit or harm in patients with established and incident HF. Recent data highlight the importance of a renewed focus on optimal pharmacotherapy for this population with DM and HF (or at risk for HF). Both HF and DM require major lifestyle modification for optimal management, in terms of both optimizing health behaviors (eg, physical activity, diet) and adherence to complex medical and self-care regimens. Mobile health (mHealth) technologies (eg, apps, wearables) are widely available in the community and may play a role in optimizing the health status of patients; however, there is limited and conflicting information on whether such technologies are actually beneficial in at-risk populations. In this article, we summarize current strategies, including mobile health interventions, to improve physical activity levels, drug adherence, and outcomes in patients with DM, HF, or both and describe the design and rationale for the Technologies to improve drug Adherence and Reinforce Guideline based Exercise Targets in patients with heart Failure and Diabetes Mellitus trial, which is designed to test the efficacy of using mHealth technology to improve health behaviors and outcomes in this high-risk population.