Effects of Sacubitril/Valsartan Across the Spectrum of Renal Impairment in Patients With Heart Failure.

BACKGROUND: The Kidney Disease Improving Global Outcomes (KDIGO) classification integrates both estimated glomerular filtration rate(eGFR) and urine-albumin-creatinine-ratio to stratify risk more comprehensively in patients with chronic kidney disease. There are limited data assessing whether this classification system is associated with prognosis and treatment response in heart failure populations. METHODS: PARADIGM-HF was a global RCT evaluating sacubitril/valsartan vs. enalapril in patients with HFrEF. Patients were classified according to low, moderate, and high/very high KDIGO risk. Treatment responses were assessed according to baseline KDIGO risk. The primary outcome was a composite of CV death or HF hospitalization. A renal composite outcome was defined as sustained decline in eGFR by ≥40% or end stage kidney disease. RESULTS: Among 1,910 (23% of total) participants with available data, 42%, 32%, and 26% were classified as low, moderate, and high/very high KDIGO risk, respectively. Patients in the highest KDIGO risk categories experienced the highest rates of the primary composite outcome (7.6[6.5-9.0], 9.4[7.9-11.2], 14.9[12.7-17.6] per 100py; P<0.001). Sacubitril/valsartan had a similar safety profile and similarly reduced the risk of both the primary outcome (PInteraction=0.31) and the renal composite outcome (PInteraction=0.50) across the spectrum of KDIGO risk. CONCLUSION: One in 4 patients with HFrEF were classified as at least high KDIGO kidney risk; these individuals faced concordantly the highest risks of CV events. Sacubitril/valsartan exhibited consistent CV and kidney protective benefits as well as safety across the spectrum of baseline kidney risk. These data further support initiation of sacubitril/valsartan in HFrEF across a broad range of kidney risk.

Dapagliflozin and Timing of Prior Heart Failure Hospitalization: A Patient-Level Meta-Analysis of DAPA-HF and DELIVER.

BACKGROUND: Patients recently hospitalized for heart failure (HF) are at a higher risk of adverse clinical outcomes, but they may experience a greater absolute and relative benefit from effective therapies than individuals who are considered more "stable." OBJECTIVES: The authors examined the effects of dapagliflozin according to the timing of prior HF hospitalization in a patient-level pooled analysis of DAPA-HF (Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure) and DELIVER (Dapagliflozin Evaluation to Improve the Lives of Patients with Preserved Ejection Fraction Heart Failure). METHODS: A total of 11,007 patients were randomized in DAPA-HF and DELIVER. The primary outcome was the composite of worsening HF or cardiovascular death. RESULTS: In total, 12.4% were hospitalized for HF within 3 months of randomization, 14.2% between 3 and 12 months, and 16.8% more than 1 year before randomization, whereas 56.5% had not been hospitalized. The risk of the primary endpoint was inversely associated with time from prior HF hospitalization, and patients with a recent HF hospitalization had the highest risk. Compared with placebo, dapagliflozin reduced the risk of the primary outcome across HF hospitalization category (0-3 months, HR: 0.66 [95% CI: 0.55-0.81]; 3-12 months, HR: 0.73 [95% CI: 0.59-0.90]; >1 year, HR: 0.91 [95% CI: 0.74-1.12]; and no prior hospitalization, HR: 0.83 [95% CI: 0.73-0.94]; Pinteraction = 0.09). The number of patients needed to treat with dapagliflozin to prevent 1 event over the median follow-up of 22 months was 13, 20, 23, and 28, respectively. The beneficial effect was consistent across the range of LVEF regardless of HF hospitalization category. CONCLUSIONS: The relative benefits of dapagliflozin were consistent across the range of LVEF regardless of the timing of the most recent HF hospitalization with a greater absolute benefit in patients with recent hospitalization.

Sodium Glucose Co-transporter 2 Inhibitors and Major Adverse Cardiovascular Outcomes: A SMART-C Collaborative Meta-Analysis.

BACKGROUND: Sodium glucose co-transporter 2 inhibitors (SGLT2i) consistently improve heart failure and kidney-related outcomes; however, effects on major adverse cardiovascular events (MACE) across different patient populations are less clear. METHODS: This was a collaborative trial-level meta-analysis from the SGLT2i meta-analysis cardio-renal trialists consortium, which includes all phase 3, placebo-controlled, outcomes trials of SGLT2i across three patient populations (diabetes at high risk for atherosclerotic cardiovascular disease [ASCVD], heart failure [HF], or chronic kidney disease [CKD]). The outcomes of interest were MACE (composite of CV death, myocardial infarction [MI], or stroke), individual components of MACE (inclusive of fatal and non-fatal events), all-cause mortality, and death subtypes. Effect estimates for SGLT2i vs. placebo were meta-analyzed across trials and examined across key subgroups (established ASCVD, prior MI, diabetes, prior HF, albuminuria, CKD stages and risk groups). RESULTS: A total of 78,607 patients across 11 trials were included: 42,568 (54.2%), 20,725 (26.4%), and 15,314 (19.5%) were included from trials of patients with diabetes at high risk for ASCVD, HF, or CKD, respectively. SGLT2i reduced the rate of MACE by 9% (HR 0.91 [95% CI 0.87-0.96], p<0.0001) with a consistent effect across all three patient populations (I2=0%) and across all key subgroups. This effect was primarily driven by a reduction in CV death (HR 0.86 [0.81-0.92], p<0.0001), with no significant effect for MI in the overall population (HR 0.95 [0.87-1.04], p=0.29), and no effect on stroke (HR 0.99 [0.91-1.07], p=0.77). The benefit for CV death was driven primarily by reductions in HF death and sudden cardiac death (HR 0.68 [0.46-1.02] and HR 0.86 [0.78-0.95], respectively) and was generally consistent across subgroups, with the possible exception of being more apparent in those with albuminuria (Pint=0.02). CONCLUSIONS: SGLT2i reduce the risk of MACE across a broad range of patients irrespective of ASCVD, diabetes, kidney function or other major clinical characteristics at baseline. This effect is driven primarily by a reduction of CV death, particularly HF and sudden cardiac death, without a significant effect on MI in the overall population, and no effect on stroke. These data may help inform selection for SGLT2i therapies across the spectrum of cardiovascular-kidney-metabolic disease.

Contemporary American and European Guidelines for Heart Failure Management: JACC: Heart Failure Guideline Comparison.

This review serves to compare contemporary clinical practice recommendations for the management of heart failure (HF), as codified in the 2021 European Society of Cardiology (ESC) guideline, the 2022 American College of Cardiology (ACC)/American Heart Association (AHA)/Heart Failure Society of America (HFSA) guideline, and the 2023 focused update of the 2021 ESC document. Overall, these guidelines aim to solidify significant advances throughout the HF continuum since the publication of previous full guideline iterations (2013 and 2016 for the ACC/AHA and ESC, respectively). All guidelines provide new recommendations for an increasingly complex landscape of HF care, with focus on primary HF prevention, HF stages, rapid initiation and optimization of evidence-based pharmacotherapies, overlapping cardiac and noncardiac comorbidities, device-based therapies, and management pathways for special groups of patients, including those with cardiac amyloidosis. Importantly, the ACC/AHA/HFSA document features special emphasis on HF risk prediction and screening, cost/value, social determinants of health, and health care disparities. The review discusses major similarities and differences between these recent guidelines and guideline updates, as well as their potential downstream implications for clinical care.

Effects of sacubitril/valsartan according to polypharmacy status in PARAGON-HF.

AIMS: Patients with heart failure (HF) and preserved ejection fraction (HFpEF) have a particularly high prevalence of comorbidities, often necessitating treatment with many medications. The aim of this study was to evaluate the association between polypharmacy status and outcomes in PARAGON-HF. METHODS AND RESULTS: In this post hoc analysis, baseline medication status was available in 4793 of 4796 patients included in the primary analysis of PARAGON-HF. The effects of sacubitril/valsartan, compared with valsartan, were assessed according to the number of medications at baseline: 683 non-polypharmacy (<5 medications); 2750 polypharmacy (5-9 medications), and 1360 hyper-polypharmacy (≥10 medications). The primary outcome was total HF hospitalizations and cardiovascular deaths. Patients with hyper-polypharmacy were older, had more severe limitations due to HF (worse New York Heart Association class and Kansas City Cardiomyopathy Questionnaire scores), and had greater comorbidity. The non-adjusted risk of the primary outcome was significantly higher in patients taking more medications, and similar trends were seen for HF hospitalization and cardiovascular and all-cause death. The effect of sacubitril/valsartan versus valsartan on the primary outcome from the lowest to highest polypharmacy category was (as a rate ratio): 1.19 (0.76-1.85), 0.94 (0.77-1.15), and 0.77 (0.61-0.96) (pinteraction = 0.16). Treatment-related adverse events were more common in patients in the higher polypharmacy categories but not more common with sacubitril/valsartan, versus valsartan, in any polypharmacy category. CONCLUSIONS: Polypharmacy is very common in patients with HFpEF, and those with polypharmacy have worse clinical status and a higher rate of non-fatal and fatal outcomes. The benefit of sacubitril/valsartan was not diminished in patients taking a larger number of medications at baseline.

Dapagliflozin and days of full health lost through death, hospitalization, and impaired well-being in DAPA-HF.

BACKGROUND: Conventional time-to-first-event analyses cannot incorporate recurrent hospitalizations and patient well-being in a single outcome. OBJECTIVES: To overcome this limitation, we tested an integrated measure that includes days lost from death and hospitalization, and additional days of full health lost through diminished well-being. METHODS: The effect of dapagliflozin on this integrated measure was assessed in the DAPA-HF trial, which examined the efficacy of dapagliflozin, compared with placebo, in patients with NYHA class II-IV HF and a LVEF ≤40%. RESULTS: Over 360 days, patients in the dapagliflozin group (n=2,127) lost 10.6±1.0 [mean±SE] (2.9%) of potential follow-up days through cardiovascular death and HF hospitalization, compared with 14.4±1.0 days (4.0%) in the placebo group (n=2,108), and this component of all measures of days lost accounted for the greatest between-treatment difference [-3.8 (95%CI -6.6 to -1.0) days]. Patients receiving dapagliflozin also had fewer days lost to death and hospitalization from all causes, versus placebo [15.5±1.1 days (4.3%) vs. 20.3±1.1 days (5.6%)]. When additional days of full health lost (i.e., adjusted for KCCQ-OSS) were added, total days lost were 110.6±1.6 (30.7%) with dapagliflozin vs.116.9±1.6 days (32.5%) with placebo]. The difference in all measures between the two groups increased over time; i.e., days lost by death and hospitalization -0.9 days (-0.7%) at 120 days, -2.3 days (-1.0%) at 240 days, and -4.8 days (-1.3%) at 360 days. CONCLUSIONS: Dapagliflozin reduced the total days of potential full health lost due to death, hospitalizations, and impaired well-being, and this benefit increased over time during the first year.

Sacubitril/Valsartan-Related Hypotension in Patients with Heart Failure and Preserved or Mildly Reduced Ejection Fraction.

BACKGROUND: Hypotension is a potential adverse effect of sacubitril/valsartan, but there are limited data regarding the predictors and implications of treatment-related hypotension in HFmrEF and HFpEF. OBJECTIVES: We investigated predictors of treatment-associated hypotension, clinical outcomes after hypotension, and the relationship between LVEF and incidence of hypotension in the PARAGON-HF trial. METHODS: PARAGON-HF randomized patients with chronic HF (≥45%) to sacubitril/valsartan or valsartan. Following randomization, hypotension was defined as investigator-reported hypotension with a SBP <100 mmHg. Predictors of hypotension were assessed using multivariable Cox models. Associations between hypotension and clinical outcomes were evaluated in time-updated Cox models. The relationship between treatment, LVEF, and incident rates of hypotension and clinical outcomes was estimated using Poisson regression models. RESULTS: Of 4,796 patients in PARAGON-HF, 637 (13%) experienced hypotension, more frequently in the sacubitril/valsartan arm (p<0.001). Following documented hypotension, patients had higher risk of CV death and total HF hospitalizations (adjusted RR 1.63; CI 1.27-2.09; p<0.001) and all-cause death (adjusted HR 1.62; CI 1.28-2.05; p<0.001). LVEF modified the association between sacubitril/valsartan and risk of hypotension (Pinteraction=0.019) such that patients with LVEF≥60% experienced substantially higher treatment-related risks of hypotension. CONCLUSIONS: In PARAGON-HF, a higher LVEF was associated with an increased risk of hypotension in patients treated with sacubitril/valsartan compared with valsartan. Since these subjects are also less likely to derive clinical benefit from sacubitril/valsartan, our data reinforce that the benefit/risk ratio favors the use of sacubitril/valsartan in patients with LVEF below normal, but not at higher LVEF.

Clinical Trial Inclusion and Impact on Early Adoption of Medical Innovation in Diverse Populations.

BACKGROUND: Inadequate inclusion in clinical trial enrollment may contribute to health inequities by evaluating interventions in cohorts that do not fully represent target populations. OBJECTIVES: The aim of this study was to determine if characteristics of patients with heart failure (HF) enrolled in a pivotal trial are associated with who receives an intervention after approval. METHODS: Demographics from 2,017,107 Medicare patients hospitalized for HF were compared with those of the first 10,631 Medicare beneficiaries who received implantable pulmonary artery pressure sensors. Characteristics of the population studied in the pivotal CHAMPION (CardioMEMS Heart Sensor Allows Monitoring of Pressure to Improve Outcomes in NYHA Class III Heart Failure Patients) clinical trial (n = 550) were compared with those of both groups. All demographic data were analyzed nationally and in 4 U.S. regions. RESULTS: The Medicare HF cohort included 80.9% White, 13.3% African American, 1.9% Hispanic, 1.3% Asian, and 51.5% female patients. Medicare patients <65 years of age were more likely to be African American (33%) and male (58%), whereas older patients were mostly White (84%) and female (53%). Forty-one percent of U.S. HF hospitalizations occurred in the South; demographic characteristics varied significantly across all U.S. regions. The CHAMPION trial adequately represented African Americans (23% overall, 35% <65 years of age), Hispanic Americans (2%), and Asian Americans (1%) but underrepresented women (27%). The trial's population characteristics were similar to those of the first patients who received pulmonary artery sensors (82% White, 13% African American, 1% Asian, 1% Hispanic, and 29% female). CONCLUSIONS: Demographics of Centers for Medicare and Medicaid Services beneficiaries hospitalized with HF vary regionally and by age, which should be considered when defining "adequate" representation in clinical studies. Enrollment diversity in clinical trials may affect who receives early application of recently approved innovations.

Optimizing antithrombotic therapy in patients with coexisting cardiovascular and gastrointestinal disease.

Balancing the safety and efficacy of antithrombotic agents in patients with gastrointestinal disorders is challenging because of the potential for interference with the absorption of antithrombotic drugs and for an increased risk of bleeding. In this Review, we address considerations for enteral antithrombotic therapy in patients with cardiovascular disease and gastrointestinal comorbidities. For those with gastrointestinal bleeding (GIB), we summarize a general scheme for risk stratification and clinical evidence on risk reduction approaches, such as limiting the use of concomitant medications that increase the risk of GIB and the potential utility of gastrointestinal protection strategies (such as proton pump inhibitors or histamine type 2 receptor antagonists). Furthermore, we summarize the best available evidence and potential gaps in our knowledge on tailoring antithrombotic therapy in patients with active or recent GIB and in those at high risk of GIB but without active or recent GIB. Finally, we review the recommendations provided by major medical societies, highlighting the crucial role of teamwork and multidisciplinary discussions to customize the antithrombotic regimen in patients with coexisting cardiovascular and gastrointestinal diseases.

Prognostic Models for Mortality and Morbidity in Heart Failure With Preserved Ejection Fraction.

Importance: Accurate risk prediction of morbidity and mortality in patients with heart failure with preserved ejection fraction (HFpEF) may help clinicians risk stratify and inform care decisions. Objective: To develop and validate a novel prediction model for clinical outcomes in patients with HFpEF using routinely collected variables and to compare it with a biomarker-driven approach. Design, Setting, and Participants: Data were used from the Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure (DELIVER) trial to derive the prediction model, and data from the Angiotensin Receptor Neprilysin Inhibition in Heart Failure With Preserved Ejection Fraction (PARAGON-HF) and the Irbesartan in Heart Failure With Preserved Ejection Fraction Study (I-PRESERVE) trials were used to validate it. The outcomes were the composite of HF hospitalization (HFH) or cardiovascular death, cardiovascular death, and all-cause death. A total of 30 baseline candidate variables were selected in a stepwise fashion using multivariable analyses to create the models. Data were analyzed from January 2023 to June 2023. Exposures: Models to estimate the 1-year and 2-year risk of cardiovascular death or hospitalization for heart failure, cardiovascular death, and all-cause death. Results: Data from 6263 individuals in the DELIVER trial were used to derive the prediction model and data from 4796 individuals in the PARAGON-HF trial and 4128 individuals in the I-PRESERVE trial were used to validate it. The final prediction model for the composite outcome included 11 variables: N-terminal pro-brain natriuretic peptide (NT-proBNP) level, HFH within the past 6 months, creatinine level, diabetes, geographic region, HF duration, treatment with a sodium-glucose cotransporter 2 inhibitor, chronic obstructive pulmonary disease, transient ischemic attack/stroke, any previous HFH, and heart rate. This model showed good discrimination (C statistic at 1 year, 0.73; 95% CI, 0.71-0.75) in both validation cohorts (C statistic at 1 year, 0.71; 95% CI, 0.69-0.74 in PARAGON-HF and 0.75; 95% CI, 0.73-0.78 in I-PRESERVE) and calibration. The model showed similar discrimination to a biomarker-driven model including high-sensitivity cardiac troponin T and significantly better discrimination than the Meta-Analysis Global Group in Chronic (MAGGIC) risk score (C statistic at 1 year, 0.60; 95% CI, 0.58-0.63; delta C statistic, 0.13; 95% CI, 0.10-0.15; P < .001) and NT-proBNP level alone (C statistic at 1 year, 0.66; 95% CI, 0.64-0.68; delta C statistic, 0.07; 95% CI, 0.05-0.08; P < .001). Models derived for the prediction of all-cause and cardiovascular death also performed well. An online calculator was created to allow calculation of an individual's risk. Conclusions and Relevance: In this prognostic study, a robust prediction model for clinical outcomes in HFpEF was developed and validated using routinely collected variables. The model performed better than NT-proBNP level alone. The model may help clinicians to identify high-risk patients and guide treatment decisions in HFpEF.

Clinical Outcomes With Electronic Nudges to Increase Influenza Vaccination : A Prespecified Analysis of a Nationwide, Pragmatic, Registry-Based, Randomized Implementation Trial.

BACKGROUND: In the NUDGE-FLU (Nationwide Utilization of Danish Government Electronic letter system for increasing inFLUenza vaccine uptake) trial, electronic letters incorporating cardiovascular (CV) gain-framing and repeated messaging increased influenza vaccination by approximately 1 percentage point. OBJECTIVE: To evaluate the effects of the successful nudging interventions on downstream clinical outcomes. DESIGN: Prespecified exploratory analysis of a nationwide randomized implementation trial. (ClinicalTrials.gov: NCT05542004). SETTING: The 2022 to 2023 influenza season. PARTICIPANTS: 964 870 Danish citizens aged 65 years or older. INTERVENTION: Usual care or 9 different electronically delivered behavioral nudging letters. MEASUREMENTS: Cardiovascular, respiratory, and other clinical end points during follow-up from intervention delivery (16 September 2022) through 31 May 2023. RESULTS: The analysis set included 691 820 participants. Hospitalization for pneumonia or influenza occurred in 3354 of 346 327 (1.0%) participants in the usual care group, 396 of 38 586 (1.0%) in the CV gain-framing group (hazard ratio [HR], 1.06 [95% CI, 0.95 to 1.18]; versus usual care), and 403 of 38 231 (1.1%) in the repeated letter group (HR, 1.09 [CI, 0.98 to 1.21]; versus usual care). In the usual care group, 44 682 (12.9%) participants were hospitalized for any cause, compared with 5002 (13.0%) in the CV gain-framing group (HR, 1.00 [CI, 0.97 to 1.03]; versus usual care) and 4965 (13.0%) in the repeated letter group (HR, 1.01 [CI, 0.98 to 1.04]; versus usual care). A total of 6341 (1.8%) participants died in the usual care group, compared with 721 (1.9%) in the CV gain-framing group (HR, 1.02 [CI, 0.94 to 1.10]; versus usual care) and 646 (1.7%) in the repeated letter group (HR, 0.92 [CI, 0.85 to 1.00]; versus usual care). LIMITATION: Prespecified but exploratory analysis, potential misclassification of events in routinely collected registry data, and results may not be generalizable to other health systems or countries with other racial compositions and/or cultural or societal norms. CONCLUSION: In a prespecified exploratory analysis, modest increases in influenza vaccination rates seen with electronic nudges did not translate into observable improvements in clinical outcomes. Seasonal influenza vaccination should remain strongly recommended. PRIMARY FUNDING SOURCE: Sanofi.

Rationale and design of NUDGE-FLU-CHRONIC and NUDGE-FLU-2: Two nationwide randomized trials of electronic nudges to increase influenza vaccination among patients with chronic diseases and older adults during the 2023/2024 influenza season.

BACKGROUND: Yearly influenza vaccination is strongly recommended for older adults and patients with chronic diseases including cardiovascular disease (CVD); however, vaccination rates remain suboptimal, particularly among younger patients. Electronic letters incorporating behavioral nudges are highly scalable public health interventions which can potentially increase vaccination, but further research is needed to determine the most effective strategies and to assess effectiveness across different populations. The purpose of NUDGE-FLU-CHRONIC and NUDGE-FLU-2 are to evaluate the effectiveness of electronic nudges delivered via the Danish governmental electronic letter system in increasing influenza vaccination among patients with chronic diseases and older adults, respectively. METHODS: Both trials are designed as pragmatic randomized implementation trials enrolling all Danish citizens in their respective target groups and conducted during the 2023/2024 influenza season. NUDGE-FLU-CHRONIC enrolls patients aged 18-64 years with chronic diseases. NUDGE-FLU-2 builds upon the NUDGE-FLU trial conducted in 2022/2023 and aims to expand the evidence by testing both previously successful and new nudges among adults ≥65 years during a subsequent influenza season. Persons with exemptions from the electronic letter system are excluded from both trials. In both trials, participants are randomized in a 2.45:1:1:1:1:1:1 ratio to either receive no electronic letter (usual care) or to receive one of 6 different behaviorally informed electronic letters. NUDGE-FLU-CHRONIC has randomized 299,881 participants with intervention letters delivered on September 24, 2023, while NUDGE-FLU-2 has randomized 881,373 participants and delivered intervention letters on September 13, 2023. Follow-up is currently ongoing. In both trials, the primary endpoint is receipt of influenza vaccination on or before January 1, 2024, and the secondary endpoint is time to vaccination. Clinical outcomes including respiratory and cardiovascular hospitalizations, all-cause hospitalization, and mortality are included as prespecified exploratory endpoints. Prespecified individual-level pooled analyses will be conducted across NUDGE-FLU, NUDGE-FLU-CHRONIC, and NUDGE-FLU-2. DISCUSSION: NUDGE-FLU-CHRONIC is the first nationwide randomized trial of electronic nudges to increase influenza vaccination conducted among 18-64-year-old high-risk patients with chronic diseases. NUDGE-FLU-2 will provide further evidence on the effectiveness of electronic nudges among older adults ≥65 years. Collectively, the NUDGE-FLU trials will provide an extensive evidence base for future public health communications. TRIAL REGISTRATION: NUDGE-FLU-CHRONIC: Clinicaltrials.gov: NCT06030739, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030739. NUDGE-FLU-2: Clinicaltrials.gov: NCT06030726, registered September 11, 2023, https://clinicaltrials.gov/study/NCT06030726.

Dapagliflozin in patients with heart failure and previous myocardial infarction: A participant-level pooled analysis of DAPA-HF and DELIVER.

AIMS: Patients with heart failure (HF) and history of myocardial infarction (MI) face a higher risk of disease progression and clinical events. Whether sodium-glucose cotransporter 2 inhibitors may modify clinical trajectory in such individuals remains incompletely understood. METHODS AND RESULTS: The DAPA-HF and DELIVER trials compared dapagliflozin with placebo in patients with symptomatic HF with left ventricular ejection fraction (LVEF) ≤40% and > 40%, respectively. In this pooled participant-level analysis, we assessed efficacy and safety outcomes by history of MI. The primary outcome in both trials was the composite of cardiovascular death or worsening HF. Of the total of 11 007 patients, 3731 (34%) had a previous MI and were at higher risk of the primary outcome across the spectrum of LVEF in covariate-adjusted models (hazard ratio [HR] 1.12, 95% confidence interval [CI] 1.02-1.24). Dapagliflozin reduced the risk of the primary outcome to a similar extent in patients with (HR 0.83, 95% CI 0.72-0.96) and without previous MI (HR 0.76, 95% CI 0.68-0.85; pinteraction = 0.36), with consistent benefits on key secondary outcomes as well. Serious adverse events did not occur more frequently with dapagliflozin, irrespective of previous MI. CONCLUSION: History of MI confers increased risks of adverse cardiovascular outcomes in patients with HF across the LVEF spectrum, even among those with preserved ejection fraction. Dapagliflozin consistently and safely reduces the risk of cardiovascular death or worsening HF, regardless of previous MI.

Cost Effectiveness of Dapagliflozin for Heart Failure Across the Spectrum of Ejection Fraction: An Economic Evaluation Based on Pooled, Individual Participant Data From the DELIVER and DAPA-HF Trials.

BACKGROUND: The sodium glucose cotransporter-2 inhibitors are guideline-recommended to treat heart failure across the spectrum of left ventricular ejection fraction; however, economic evaluations of adding sodium glucose cotransporter-2 inhibitors to standard of care in chronic heart failure across a broad left ventricular ejection fraction range are lacking. METHODS AND RESULTS: We conducted a US-based cost-effectiveness analysis of dapagliflozin added to standard of care in a chronic heart failure population using pooled, participant data from the DAPA-HF (Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure) and DELIVER (Dapagliflozin Evaluation to Improve the Lives of Patients With Preserved Ejection Fraction Heart Failure) trials. The 3-state Markov model used estimates of transitional probabilities, effectiveness of dapagliflozin, and utilities from the pooled trials. Costs estimates were obtained from published sources, including published rebates in dapagliflozin cost. Adding dapagliflozin to standard of care was estimated to produce an additional 0.53 quality-adjusted life years (QALYs) compared with standard of care alone. Incremental cost effectiveness ratios were $85 554/QALY when using the publicly reported full (undiscounted) Medicare cost ($515/month) and $40 081/QALY, at a published nearly 50% rebate ($263/month). The addition of dapagliflozin to standard of care would be of at least intermediate value (<$150 000/QALY) at a cost of <$872.58/month, of high value (<$50 000/QALY) at <$317.66/month, and cost saving at <$40.25/month. Dapagliflozin was of at least intermediate value in 92% of simulations when using the full (undiscounted) Medicare list cost in probabilistic sensitivity analyses. Cost effectiveness was most sensitive to the dapagliflozin cost and the effect on cardiovascular death. CONCLUSIONS: The addition of dapagliflozin to standard of care in patients with heart failure across the spectrum of ejection fraction was at least of intermediate value at the undiscounted Medicare cost and may be potentially of higher value on the basis of the level of discount, rebates, and price negotiations offered. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT01035255 & NCT01920711.