Heart Failure Outcomes Research Articles

Accuracy of heart failure ascertainment using routinely collected healthcare data: a systematic review and meta-analysis

BackgroundAscertainment of heart failure (HF) hospitalizations in cardiovascular trials is costly and complex, involving processes that could be streamlined by using routinely collected healthcare data (RCD). The utility of coded RCD for HF outcome ascertainment in randomized trials requires assessment. We systematically reviewed studies assessing RCD-based HF outcome ascertainment against “gold standard” (GS) methods to study the feasibility of using such methods in clinical trials.MethodsStudies assessing International Classification of Disease (ICD) coded RCD-based HF outcome ascertainment against GS methods and reporting at least one agreement statistic were identified by searching MEDLINE and Embase from inception to May 2021. Data on study characteristics, details of RCD and GS data sources and definitions, and test statistics were reviewed. Summary sensitivities and specificities for studies ascertaining acute and prevalent HF were estimated using a bivariate random effects meta-analysis. Heterogeneity was evaluated using I2 statistics and hierarchical summary receiver operating characteristic (HSROC) curves.ResultsA total of 58 studies of 48,643 GS-adjudicated HF events were included in this review. Strategies used to improve case identification included the use of broader coding definitions, combining multiple data sources, and using machine learning algorithms to search free text data, but these methods were not always successful and at times reduced specificity in individual studies. Meta-analysis of 17 acute HF studies showed that RCD algorithms have high specificity (96.2%, 95% confidence interval [CI] 91.5–98.3), but lacked sensitivity (63.5%, 95% CI 51.3–74.1) with similar results for 21 prevalent HF studies. There was considerable heterogeneity between studies.ConclusionsRCD can correctly identify HF outcomes but may miss approximately one-third of events. Methods used to improve case identification should also focus on minimizing false positives.

Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial.

Hospitalizations account for almost one-third of the US $4.1 trillion health care cost in the United States. A substantial portion of these hospitalizations are attributed to readmissions, which led to the establishment of the Hospital Readmissions Reduction Program (HRRP) in 2012. The HRRP reduces payments to hospitals with excess readmissions. In 2018, >US $700 million was withheld; this is expected to exceed US $1 billion by 2022. More importantly, there is nothing more physically and emotionally taxing for readmitted patients and demoralizing for hospital physicians, nurses, and administrators. Given this high uncertainty of proper home recovery, intelligent monitoring is needed to predict the outcome of discharged patients to reduce readmissions. Physical activity (PA) is one of the major determinants for overall clinical outcomes in diabetes, hypertension, hyperlipidemia, heart failure, cancer, and mental health issues. These are the exact comorbidities that increase readmission rates, underlining the importance of PA in assessing the recovery of patients by quantitative measurement beyond the questionnaire and survey methods. This study aims to develop a remote, low-cost, and cloud-based machine learning (ML) platform to enable the precision health monitoring of PA, which may fundamentally alter the delivery of home health care. To validate this technology, we conducted a clinical trial to test the ability of our platform to predict clinical outcomes in discharged patients. Our platform consists of a wearable device, which includes an accelerometer and a Bluetooth sensor, and an iPhone connected to our cloud-based ML interface to analyze PA remotely and predict clinical outcomes. This system was deployed at a skilled nursing facility where we collected >17,000 person-day data points over 2 years, generating a solid training database. We used these data to train our extreme gradient boosting (XGBoost)-based ML environment to conduct a clinical trial, Activity Assessment of Patients Discharged from Hospital-I, to test the hypothesis that a comprehensive profile of PA would predict clinical outcome. We developed an advanced data-driven analytic platform that predicts the clinical outcome based on accurate measurements of PA. Artificial intelligence or an ML algorithm was used to analyze the data to predict short-term health outcome. We enrolled 52 patients discharged from Stanford Hospital. Our data demonstrated a robust predictive system to forecast health outcome in the enrolled patients based on their PA data. We achieved precise prediction of the patients' clinical outcomes with a sensitivity of 87%, a specificity of 79%, and an accuracy of 85%. To date, there are no reliable clinical data, using a wearable device, regarding monitoring discharged patients to predict their recovery. We conducted a clinical trial to assess outcome data rigorously to be used reliably for remote home care by patients, health care professionals, and caretakers.

Heart failure clinic inclusion and exclusion criteria: cross-sectional study of clinic’s and referring provider’s perspectives

ObjectivesThere are substantial variations in entry criteria for heart failure (HF) clinics, leading to variations in whom providers refer for these life-saving services. This study investigated actual versus ideal HF...

Diabetes mellitus does not alter mortality or hospitalisation risk in patients with newly diagnosed heart failure with preserved ejection fraction: Time to rethink pathophysiological models of disease progression.

Type 2 diabetes is a common and adverse prognostic co-morbidity for patients with heart failure with reduced ejection fraction (HFrEF). The effect of diabetes on long-term outcomes for heart failure with preserved ejection fraction (HFpEF) is less established. Prospective cohort study of patients referred to a regional HF clinic with newly diagnosed with HFrEF and HFpEF according to the 2016 European Society of Cardiology guidelines. The association between diabetes, all-cause mortality and hospitalisation was quantified using Kaplan-Meier or Cox regression analysis. Between 1st May 2012 and 1st May 2013, of 960 unselected consecutive patients referred with suspected HF, 464 and 314 patients met the criteria for HFpEF and HFrEF respectively. Within HFpEF and HFrEF groups, patients with diabetes were more frequently male and in both groups patients with diabetes were more likely to be treated with β-adrenoceptor antagonists and angiotensin converting enzyme inhibitors. After adjustment for age, sex, medical therapy and co-morbidities, diabetes was associated with increased mortality in individuals with HFrEF (HR 1.46 95% CI: 1.05-2.02; p = .023), but not in those with HFpEF (HR 1.26 95% CI 0.92-1.72; p = .146). In unselected patients with newly diagnosed HF, diabetes is not an adverse prognostic marker in patients with HFpEF, but is in HFrEF.

Global IL4Rα blockade exacerbates heart failure after an ischemic event in mice and humans.

Ischemic heart failure continues to be a highly prevalent disease among westernized countries and there is great interest in understanding the mechanisms preventing or exacerbating disease progression. The literature suggests an important role for the activation of interleukin-13 or interleukin-4 signaling in improving ischemic heart failure outcomes after myocardial infarction in mice. Dupilumab, a neutralizing antibody that inhibits the shared IL13/IL4 receptor subunit IL4Rα, is widely used for conditions such as ectopic dermatitis in humans. If global depletion of IL4Rα influences ischemic heart failure, either in mice or in humans taking dupilumab, is unknown. Here, we investigated the pathophysiological effects of global IL4Rα genetic deletion in adult mice after surgically induced myocardial infarction (MI). We also determined heart failure risk in patients with ischemic heart disease and concomitant usage of dupilumab using the collaborative patient data network TriNetX. Global deletion of IL4Rα results in exacerbated cardiac dysfunction associated with reduced capillary size after myocardial infarction in mice. In agreement with our findings in mice, dupilumab treatment significantly increased the risk of heart failure development in patients with preexisting diagnosis of ischemic heart disease. Our results indicate that systemic IL4Rα signaling is protective against heart failure development in adult mice and human patients specifically following an ischemic event. Thus, the compelling evidence presented hereby advocates for the development of a randomized clinical trial specifically investigating heart failure development after myocardial ischemia in patients taking dupilumab for another underlying condition.NEW & NOTEWORTHY A body of literature suggests a protective role for IL4Rα signaling postmyocardial infarction in mice. Here, our observational study demonstrates that humans taking the IL4Rα neutralizing antibody, dupilumab, have increased incidence of heart failure following an ischemic event. Similarly, global IL4Rα deletion in mice exacerbates heart failure postinfarct. To our knowledge, this is the first study reporting an adverse association in humans of dupilumab use with heart failure following a cardiac ischemic event.

The effect of the four pharmacological pillars of heart failure on haemoglobin level.

Anaemia, a condition characterized by low levels of haemoglobin, is frequently observed in patients with heart failure (HF). Guideline-directed medical therapy improves HF outcomes by using medications like beta blockers, angiotensin-converting enzyme inhibitors, and angiotensin receptor blockers, along with mineralocorticoid receptor antagonists and sodium-glucose cotransporter 2 inhibitors. In this study, we aimed to review the pathophysiology of anaemia in patients with HF and present the current evidence regarding the relationship between the main recommended medications for these patients and haemoglobin levels. The authors conducted a comprehensive search in the medical literature for relevant original clinical articles in which the four pharmacological pillars of HF were given to the patients; we, then, assessed whether the association of use of these medications and haemoglobin level or development of anaemia was provided. These common medications have been shown in the literature that may exacerbate or ameliorate anaemia. Besides, it has been shown that even in the case that they result in the development of anaemia, their use is associated with positive effects that outweigh this potential harm. The literature also suggests that among patients receiving medications with negative effects on the level of haemoglobin, there was no difference in the rate of mortality between anaemic and non-anaemic patients when both were on treatment for anaemia; this point highlights the importance of the detection and treatment of anaemia in these patients. Further research is needed to explore these relationships and identify additional strategies to mitigate the risk of anaemia in this population.

Proteomic Associations of Adverse Outcomes in Human Heart Failure.

Identifying novel molecular drivers of disease progression in heart failure (HF) is a high-priority goal that may provide new therapeutic targets to improve patient outcomes. The authors investigated the relationship between plasma proteins and adverse outcomes in HF and their putative causal role using Mendelian randomization. The authors measured 4776 plasma proteins among 1964 participants with HF with a reduced left ventricular ejection fraction enrolled in PHFS (Penn Heart Failure Study). Assessed were the observational relationship between plasma proteins and (1) all-cause death or (2) death or HF-related hospital admission (DHFA). The authors replicated nominally significant associations in the Washington University HF registry (N=1080). Proteins significantly associated with outcomes were the subject of 2-sample Mendelian randomization and colocalization analyses. After correction for multiple testing, 243 and 126 proteins were found to be significantly associated with death and DHFA, respectively. These included small ubiquitin-like modifier 2 (standardized hazard ratio [sHR], 1.56; P<0.0001), growth differentiation factor-15 (sHR, 1.68; P<0.0001) for death, A disintegrin and metalloproteinase with thrombospondin motifs-like protein (sHR, 1.40; P<0.0001), and pulmonary-associated surfactant protein C (sHR, 1.24; P<0.0001) for DHFA. In pathway analyses, top canonical pathways associated with death and DHFA included fibrotic, inflammatory, and coagulation pathways. Genomic analyses provided evidence of nominally significant associations between levels of 6 genetically predicted proteins with DHFAand 11 genetically predicted proteins with death. This study implicates multiple novel proteins in HF and provides preliminary evidence of associations between genetically predicted plasma levels of 17 candidate proteins and the risk for adverse outcomes in human HF.

Temporal evolution of liver function parameters predicts clinical outcome in chronic heart failure patients (Bio-SHiFT study).

Liver dysfunction contributes to worse clinical outcomes in heart failure (HF) patients. However, studies exploring temporal evolutions of liver function parameters in chronic HF (CHF) pa- tients, and their associations with clinical outcome, are scarce. Detailed temporal patterns of alkaline phosphatase (ALP), gamma glutamyl transpeptidase (GGTP), total bilirubin (TBIL) and albumin (ALB) were investigated, and their relation with clinical outcome, in patients with stable CHF with reduced ejection fraction. Tri-monthly plasma samples were collected from 250 patients during 2.2 (1.4-2.5) years of follow-up. ALP, GGTP, ALB, and TBIL were measured in 749 selected samples and the relationship between repeatedly measured biomarker levels and the primary endpoint (PEP; composite of cardiovas- cular death, heart transplantation, left ventricular assist device implantation, and hospitalization for worsened HF) was evaluated by joint models. Mean age was 66 ± 13 years; 74% were men, 25% in New York Heart Association class III-IV. 66 (26%) patients reached the PEP. Repeatedly measured levels of TBIL, ALP, GGTP, and ALB were associated with the PEP after adjustment for N-terminal prohormone B-type natriuretic peptide and high sensitivity troponin T (hazard ratio [95% confidence interval] per doubling of biomarker level: 1.98 [1.32; 2.95], p = 0.002; 1.84 [1.09; 3.05], p = 0.018, 1.33 [1.08; 1.63], p = 0.006 and 1.14 [1.09; 1.20], p < 0.001, respectively). Serial levels of ALP and GGTP, and slopes of the temporal evolutions of ALB and TBIL, adjusted for clinical variables, were also significantly associated with the PEP. Changes in serum levels of TBIL, ALP, GGTP, and ALB precede adverse cardiovascular events in patients with CHF. These routine liver function parameters may provide additional prognostic information in heart failure with reduced ejection fraction patients in clinical practice.

Iron Deficiency and Incident Heart Failure in Older Community-Dwelling Individuals.

Among persons with prevalent heart failure (HF), iron deficiency has been linked to HF admissions, and intravenous iron replacement improves HF outcomes. Recent studies in persons with chronic kidney disease (CKD) demonstrate that iron deficiency is associated with incident HF. This study aimed to determine the relationship of iron status with incident HF in community-dwelling older adults irrespective of their kidney function. In this case-cohort study, 1,006 Cardiovascular Health Study participants (785 from the random sub-cohort [including 193 HF cases] and 221 additional HF cases [N=414 total HF cases]) aged ≥ 65years without HF (41% with CKD), we used weighted Cox models to evaluate associations of iron status with incident HF. Participants were categorized based on quartiles of transferrin saturation and ferritin as "iron replete" (27.3%), "functional iron deficiency" (7.7%), "iron deficiency" (11.8%), "mixed iron deficiency" (5.6%), "high iron" (9.3%) and "non-classified" (38.1%), consistent with prior studies. Compared to older persons who were iron replete, those with iron deficiency were at higher risk of incident HF (HR 1.47; 1.02-2.11) in models adjusting for demographics, HF risk factors, and estimated glomerular filtration rate. Other iron categories did not associate with incident HF. The relationship of iron deficiency with incident HF did not differ by CKD status (interaction P value 0.2). Among community-dwelling elders, iron deficiency is independently associated with incident HF, an association that was similar irrespective of CKD status. Our findings support conduct of clinical trials of iron replacement for prevention of HF in older adults with iron deficiency.

Previous heart failure hospitalization, spironolactone, and outcomes in heart failure with preserved ejection fraction – a secondary analysis of TOPCAT

BackgroundHospitalization for heart failure (HHF) is associated with poor postdischarge outcomes but the role of time since most recent HHF and potential treatment interactions are unknown. We aimed to assess history of and time since previous HHF, associations with composite of cardiovascular (CV) death and total HHF, first HHF and interactions with randomization to spironolactone, in heart failure with preserved ejection fraction. Methods and resultsWe assessed these objectives using uni- and multivariable regressions and spline analyses in TOPCAT-Americas. Among 1,765 patients, 66% had a previous HHF. Over a median of 2.9 years, 1,064 composite events of CV death or total HHFs occurred. Previous HHF was associated with more severe HF, and was independently associated with the composite outcome (HR 1.26, 95%CI 1.05-1.52, P = .014), and all secondary outcomes. A shorter time since most recent HHF appeared to be associated with subsequent first HHF, but not the composite of CV death or total HHF.Spironolactone had a significant interaction with previous HHF (interaction-P .046). Patients without a previous HHF had a larger effect of spironolactone on the composite outcome (HR 0.63, 95%CI 0.46-0.87, P = .005) than patients with a previous HHF (HR 0.91, 95%CI 0.78-1.06, P = .224). ConclusionIn TOPCAT-Americas, previous HHF was associated with CV death and first and total HHF. Duration since most recent HHF seemed to be associated with time to first HHF only. Spironolactone was associated with better outcomes in patients without a previous HHF. This interaction is hypothesis-generating and requires validation in future trials.

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.

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. 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. 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. URL: https://www.clinicaltrials.gov; Unique identifiers: NCT01035255 & NCT01920711.

Connecting the Dots: Heart Failure and Insomnia

Introduction and aim. This study investigates the relationship between heart failure (HF) and insomnia, focusing on this two-way association’s clinical significance, epidemiology, and management.&#x0D; Material and methods. Literature available in November 2023 was searched using Pubmed, Medline, Google Scholar, and Europe PMC with keywords associated with Heart Failure, Insomnia, and related pharmaceuticals. 69 articles were included.&#x0D; Analysis of the literature. Insomnia is associated with higher mortality and a potential risk of sudden cardiac death, particularly in individuals with HF. Treatment is challenging and side effects can worsen the symptoms of HF. The use of benzodiazepines in HF patients raises concerns about cardiovascular risks, prompting the exploration of other medications like nonbenzodiazepines, antidepressants with sedative effects, and histamine receptor antagonists. On the other hand, HF is also a condition that affects sleep quality. Drugs including ACE-I, beta-blockers, MRA, and SGLT2i are essential for its treatment. Some of them may have an impact on the intensity of insomnia.&#x0D; Conclusion. Considering the impact of insomnia medications on heart failure outcomes and vice versa is necessary. It is important to consider all aspects when treating these two conditions simultaneously.

A Review and Meta-Analysis of the Safety and Efficacy of Using Glucagon-like Peptide-1 Receptor Agonists.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have been used to reduce glucose levels in patients with type 2 diabetes mellitus since 2005. This meta-analysis discusses the mechanisms and potential benefits of several GLP-1 RAs. In particular, this meta-analysis focuses on the safety and associations with weight loss, glucose reduction, cardiovascular outcomes, heart failure, and renal outcomes of GLP-1 RAs to determine their benefits for patients with different conditions. In terms of glycemic control and weight loss, semaglutide was statistically superior to other GLP-1 RAs. In terms of cardiovascular outcomes, 14 mg of semaglutide taken orally once daily and 1.8 mg of liraglutide injected once daily reduced the incidence of cardiovascular death, whereas other GLP-1 RAs did not provide similar benefits. Moreover, semaglutide was associated with superior outcomes for heart failure and cardiovascular death in non-diabetic obesity patients, whereas liraglutide worsened heart failure outcomes in diabetic patients with a reduced ejection fraction. Additionally, semaglutide, dulaglutide, and liraglutide were beneficial in terms of composite renal outcomes: These GLP-1 RAs were significantly associated with less new or persistent macroalbuminuria, but not with improved eGFR deterioration or reduced requirement for renal replacement therapy. However, GLP-1 RAs may benefit patients with type 2 diabetes mellitus or obesity.

Hospital admissions and outcomes for systolic and diastolic heart failure in Spain between 2016 and 2019: A population-based study

Background and purposeIn Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type. MethodsWe conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System’ acute hospital during 2016–2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models. Results190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (Odds ratio-OR-: 0.79; 95% confidence interval [CI], 0.75−0.83; p < 0.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95%CI: 0.88−0.97; p = 0.002). ConclusionsIn Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission.

Atrial fibrillation and risk of adverse outcomes in heart failure with reduced, mildly reduced, and preserved ejection fraction: A systematic review and meta-analysis.

Heart failure (HF) and atrial fibrillation (AF) frequently co-exist. Contemporary classification of HF categorizes it into HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF). Aggregate data comparing the risk profile of AF between these three HF categories are lacking. We conducted a systematic review and meta-analysis aimed at determining any significant differences in AF-associated all-cause mortality, HF hospitalizations, cardiovascular mortality (CV), and stroke between HFrEF, HFmrEF, and HFpEF. A systematic search of PubMed, EMBASE, and Cochrane Library databases until February 28, 2023. Data were combined using DerSimonian-Laird random effects model. A total of 22 studies comprising 248 323 patients were retained: HFrEF 123 331 (49.7%), HFmrEF 40 995 (16.5%), and HFpEF 83 997 (33.8%). Pooled baseline AF prevalence was 36% total population, 30% HFrEF, 36% HFmrEF, and 42% HFpEF. AF was associated with a higher risk of all-cause mortality in the total population with pooled hazard ratio (HR) = 1.13 (95% confidence interval [CI] = 1.07-1.21), HFmrEF (HR = 1.25, 95% CI = 1.05-1.50) and HFpEF (HR = 1.16, 95% CI = 1.09-1.24), but not HFrEF (HR = 1.03, 95% CI = 0.93-1.14). AF was associated with a higher risk of HF hospitalizations in the total population (HR = 1.29, 95% CI = 1.14-1.46), HFmrEF (HR = 1.64, 95% CI = 1.20-2.24), and HFpEF (HR = 1.46, 95% CI = 1.17-1.83), but not HFrEF (HR = 1.01, 95% CI = 0.87-1.18). AF was only associated with CV in the HFpEF subcategory but was associated with stroke in all three HF subtypes. AF appears to be associated with a higher risk of all-cause mortality and HF hospitalization in HFmrEF and HFpEF. With these findings, the paucity of data and treatment guidelines on AF in the HFmrEF subgroup becomes even more significant and warrant further investigations.

Stress hyperglycemia ratio as a prognostic indicator for long-term adverse outcomes in heart failure with preserved ejection fraction

BackgroundRecent studies highlighted that stress hyperglycemia ratio (SHR) is a potential predictor for future risk in heart failure (HF) patients. However, its implications specifically in HF with preserved ejection fraction (HFpEF) are not yet fully elucidated. We aimed to investigate the association between SHR and long-term clinical outcomes in HFpEF patients.MethodsHFpEF patients enrolled between 2015 and 2023, were followed (mean 41 months) for a composite outcome of all-cause, cardiovascular mortality, and HF rehospitalization. SHR was established as the ratio of acute-chronic glycemia from admission blood glucose and glycated hemoglobin. The optimal cut-off for SHR to predict outcomes based on event prediction was determined through ROC analysis, and the cutoff was identified at 0.99. The effect of SHR on adverse risk was examined through the Cox hazards and Kaplan-Meier survival methods. A Pearson correlation analysis was conducted to assess the relationship between SHR and the severity of HF, as indicated by N-terminal pro-brain natriuretic peptide (NT-proBNP) levels. Furthermore, the incremental prognostic value of SHR was further assessed by the integrated discrimination improvement (IDI) and the net reclassification improvement (NRI).ResultsAmong the 400 enrolled patients, 190 individuals (47.5%) encountered composite events over the 41-month follow-up period. SHR was significantly elevated in patients with events compared with those without (p < 0.001). All patients were stratified into high SHR (n = 124) and low SHR (n = 276) groups based on the SHR cutoff. The high SHR group had a significantly higher incidence of adverse events than the low SHR group (log-rank; p < 0.001). Additional analysis indicated a poorer prognosis in patients with low left ventricular EF (LVEF) levels (50 < LVEF < 60) and high SHR (SHR > 0.99) in comparison to the other groups (log-rank p < 0.001). In adjusted analysis, after accounting for age, sex, diabetes, and NT-proBNP, elevated SHR remained independently predictive of adverse outcomes (adjusted HR: 2.34, 95% CI 1.49–3.67; p < 0.001). Furthermore, adding SHR to a model with MAGGIC score provided an incremental improvement in predicting adverse events. Additionally, SHR displayed a slight correlation with NT-proBNP.ConclusionElevated SHR was independently associated with an increased risk for composite events of all-cause, cardiovascular mortality, and HF readmission than those with lower SHR. SHR is a valuable tool for predicting and stratifying long-term adverse risks among HFpEF patients.

Incremental prognostic value of functional impairment assessed by 6-min walking test for the prediction of mortality in heart failure

Natriuretic peptides (NP) are recognized as the most powerful predictors of adverse outcomes in heart failure (HF). We hypothesized that a measure of functional limitation, as assessed by 6-min walking test (6MWT), would improve the accuracy of a prognostic model incorporating a NP. This was a multicenter observational retrospective study. We studied the prognostic value of severe functional impairment (SFI), defined as the inability to perform a 6MWT or a distance walked during a 6MWT < 300 m, in 1696 patients with HF admitted to cardiac rehabilitation. The primary outcome was 1-year all-cause mortality. After adjusting for the baseline multivariable risk model—including age, sex, systolic blood pressure, anemia, renal dysfunction, sodium level, and NT-proBNP—or for the MAGGIC score, SFI had an odds ratio of 2.58 (95% CI 1.72–3.88; p < 0.001) and 3.12 (95% CI 2.16–4.52; p < 0.001), respectively. Adding SFI to the baseline risk model or the MAGGIC score yielded a significant improvement in discrimination and risk classification. Our data suggest that a simple, 6MWT-derived measure of SFI is a strong predictor of death and provide incremental prognostic information over well-established risk markers in HF, including NP, and the MAGGIC score.

Early SGLT2 inhibitor use is associated with improved left atrial strain following acute coronary syndrome

Aim Left atrial (LA) strain, a novel marker of LA function, reliably predicts diastolic dysfunction. SGLT2 inhibitors improve heart failure outcomes, but limited data exists regarding their use in the immediate aftermath of acute coronary syndrome (ACS). We studied the effect of empagliflozin on LA strain in patients with type 2 diabetes (T2D) and ACS. Methods Patients with ACS and T2D were identified and empagliflozin was initiated in eligible patients prior to discharge. Patients not initiated on empagliflozin were analysed as a comparator group. A blinded investigator assessed LA strain using baseline and 3–6 month follow-up echocardiograms. Results Forty-four participants (n = 22 each group) were included. Baseline characteristics and LA strain were similar in the two groups. LA reservoir, conduit and contractile strain increased in empagliflozin group (28.0 ± 8.4% to 34.6 ± 12.2% p < 0.001, 14.5 ± 5.4% to 16.7 ± 7.0% p = 0.034, 13.5 ± 5.2% to 17.9 ± 7.2% p = 0.005, respectively) but remained unchanged in comparison group (29.2 ± 6.7% to 28.8 ± 7.0%, 12.8 ± 4.2% to 13.3 ± 4.7%, 16.7 ± 5.3% to 15.5 ± 4.5%, respectively, p = NS). The difference in change between groups was significant for LA reservoir (p = 0.003) and contractile strain (p = 0.005). Conclusion In patients with ACS and T2D, addition of empagliflozin to standard ACS therapy prior to discharge is associated with improved LA function.

MicroRNAs are associated with cardiac biomarkers, cardiac structure and function and incident outcomes in heart failure.

The association between microRNAs (miRNAs) and established cardiac biomarkers is largely unknown. We aimed to measure the association between plasma miRNAs and N-terminal pro-B-type natriuretic peptide (NT-proBNP), cardiac troponin I, soluble urokinase-type plasminogen activator receptor (suPAR), and galectin-3 with cardiac structure and function and clinical outcomes. We quantified 32 plasma miRNAs using the FirePlex miRNA assay and measured biomarkers in 139 individuals with symptomatic heart failure (HF). We used principal component (PC) analysis and linear regression to evaluate the association between miRNAs and biomarkers with ventricular size and function by echocardiography and Cox modelling for the incidence of a first composite event of HF hospitalization, heart transplant, left ventricular assist device implant, or death. The mean (standard deviation) age at baseline was 64.3 (12.4) years, 33 (24%) were female, and 122 (88%) were White. A total of 45 events occurred over a median follow-up of 368 (interquartile range 234, 494) days. Baseline NT-proBNP (β=-2.0; P=0.001) and miRNA PC2 (β=2.6; P=0.002) were associated with baseline left ventricular ejection fraction. NT-proBNP (β=20.6; P=0.0004), suPAR (β=-39.6; P=0.005), and PC4 (β=21.1; P=0.02) were associated with baseline left ventricular end-diastolic volumes. NT-proBNP [hazard ratio (HR) 1.67, 95% confidence interval (CI) 1.28-2.18, P=0.0002], galectin-3 (HR 2.02, 95% CI 1.05-3.91, P=0.036), PC3 (HR 1.75, 95% CI 1.23-2.49, P=0.002), and PC4 (HR 1.67, 95% CI 1.1-2.52, P=0.016) were independently associated with incident events. Biomarkers and miRNA PCs are associated with cardiac structure and function and incident cardiovascular outcomes. Combining information from miRNAs provides prognostic information beyond biomarkers in HF.

Levels of Circulating Ketone Bodies in Patients Undergoing Cardiac Surgery on Cardiopulmonary Bypass.

Ketone bodies (KBs) are energy-efficient substrates utilized by the heart depending on its metabolic demand and substrate availability. Levels of circulating KBs have been shown to be elevated in acute and chronic cardiovascular disease and are associated with severity of disease in patients with heart failure and functional outcome after myocardial infarction. To investigate whether this pattern similarly applies to patients undergoing cardiac surgery involving cardiopulmonary bypass (CPB), we analysed prospectively collected pre- and postoperative blood samples from 192 cardiac surgery patients and compared levels and perioperative changes in total KBs with Troponin T as a marker of myocardial cell injury. We explored the association of patient characteristics and comorbidities for each of the two biomarkers separately and comparatively. Median levels of KBs decreased significantly over the perioperative period and inversely correlated with changes observed for Troponin T. Associations of patient characteristics with ketone body perioperative course showed notable differences compared to Troponin T, possibly highlighting factors acting as a "driver" for the change in the respective biomarker. We found an inverse correlation between perioperative change in ketone body levels and changes in troponin, indicating a marked decrease in ketone body concentrations in patients exhibiting greater myocardial cell injury. Further investigations aimed at better understanding the role of KBs on perioperative changes are warranted.