Circulation: Heart Failure最新文献

Background: Despite a shortage of potential donors for heart transplant in the United States, most potential donor hearts are discarded. We evaluated predictors of donor heart acceptance in the United States and applied machine learning methods to improve prediction.

Methods: We included a nationwide (2005-2020) cohort of potential heart donors in the United States (n=73 948) from the Scientific Registry of Transplant Recipients and a more recent (2015-2020) rigorously phenotyped cohort of potential donors from DHS (Donor Heart Study; n=4130). We identified predictors of acceptance for heart transplant in both cohorts using multivariate logistic regression, incorporating time-interaction terms to characterize their varying effects over time. We fit models predicting acceptance for transplant in a 50% training subset of DHS using logistic regression, least absolute shrinkage and selection operator, and random forest algorithms and compared their performance in the remaining 50% (test) of the subset.

Results: Predictors of donor heart acceptance were similar in the nationwide and DHS cohorts. Among these, older age (P value for time interaction, 0.0001) has become increasingly predictive of discard over time while other factors, including those related to drug use, infection, and mild cardiac diagnostic abnormalities, have become less influential (P value for time interaction, <0.05 for all). A random forest model (area under the curve, 0.908; accuracy, 0.831) outperformed other prediction algorithms in the test subset and was used as the basis of a novel web-based prediction tool.

Conclusions: Predictors of donor heart acceptance for transplantation have changed significantly over the last 2 decades, likely reflecting evolving evidence regarding their impact on posttransplant outcomes. Real-time prediction of donor heart acceptance, using our web-based tool, may improve efficiency during donor management and heart allocation.

Background: Home-time is an emerging, patient-centered outcome that represents the amount of time a patient spends alive and outside of health care facility settings, comprising of hospitals, skilled nursing facilities, and acute rehabilitation centers. Studies evaluating home-time in the context of heart failure are limited, and the impact of quality improvement interventions on home-time has not been studied.

Methods: Medicare beneficiaries aged 65 years or older who were hospitalized for heart failure in the Get With the Guidelines-Heart Failure registry between 2019 and 2021 were included. Postdischarge home-time, mortality, and readmission rates at 30 days and 1 year were calculated with the goal of establishing baseline metrics before the initiation of IMPLEMENT-HF, a multicenter quality improvement program aimed at improving heart failure management.

Results: Overall, 66 019 patients were included across 437 sites. Median 30-day and 1-year home-time were 30 (18-30) and 333 (139-362) days, respectively. Only 22.1% of patients experienced 100% home-time in the year after discharge. Older patients spent significantly less time at home, with a median 1-year home-time of 302 (86-359) compared with 345 (211-365) days in patients over 85 and those between 65 and 74 years old, respectively (P<0.001). Black patients also experienced the least amount of home-time with only 328 (151-360) days at 1-year follow-up. Rates of heart failure readmission and all-cause mortality 1-year post-discharge were high at 29.8% and 37.0%, respectively.

Conclusions: In this contemporary multicenter cohort, patients hospitalized with heart failure spent a median of 91.2% of their time in the year after discharge alive and at home, largely driven by high mortality rates. These findings serve as a preimplementation baseline for IMPLEMENT-HF, which will evaluate the impact of targeted heart failure initiatives on home-time and other clinical outcomes.

Background: Chloride plays a crucial role in renal salt sensing. This study investigates whether serum chloride is associated with clinical outcomes and decongestive response to acetazolamide in patients with acute decompensated heart failure.

Methods: This post hoc analysis includes all 519 patients from the ADVOR trial (Acetazolamide in Decompensated Heart Failure With Volume Overload), randomized to intravenous acetazolamide or matching placebo on top of intravenous loop diuretics. The impact of baseline serum chloride on the main trial end points and the treatment effect of acetazolamide was assessed, as was the evolution of serum chloride under decongestive treatment.

Results: Hypochloremia (<96 mmol/L) and hyperchloremia (>106 mmol/L) were present in 80 (15%) and 53 (10%), respectively, at baseline. Hypochloremia was associated with significantly slower decongestion, a longer length of hospital stay, and increased risk of all-cause mortality and heart failure readmissions. Acetazolamide increased the odds of successful decongestion and reduced length of stay irrespectively of baseline serum chloride levels. No statistically significant interaction between serum chloride levels and the effect of acetazolamide on death or heart failure readmissions was observed. The placebo group exhibited a progressive decline in serum chloride, which was effectively prevented by acetazolamide (P<0.001).

Conclusions: Hypochloremia is associated with diuretic resistance and worse clinical outcomes. Add-on acetazolamide therapy improves decongestion across the entire range of serum chloride and prevents the drop in chloride levels caused by loop diuretic monotherapy.

Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT03505788.

Background: Wearable accelerometers can quantify the frequency and intensity of physical activity during everyday life and may provide complementary data to established functional outcome measures on the effect of heart failure therapies on functional limitations.

Methods: In a voluntary substudy of the DETERMINE trials (Dapagliflozin Effect on Exercise Capacity Using a 6-Minute Walk Test in Patients With Heart Failure), patients wore a waist-worn triaxial accelerometer for as long as possible (ideally for 24 h/d for 7 days) at 3 points during the trial, between the screening visit and randomization (baseline data), and during weeks 8 and 14 to 16. Accelerometer outcomes included the change from baseline to week 16 in the total number of steps, time spent in light-to-vigorous physical activity, time spent in moderate-to-vigorous physical activity, movement intensity during walking, number of vector magnitude units' and total activity counts.

Results: Adequate baseline and week 16 accelerometer data were available for 211 of 817 (26%) randomized patients (defined as ≥10 hours of wear time for ≥3 days). Dapagliflozin had a favorable effect on the mean change from baseline at 16 weeks in the number of steps (between-group difference, 778 [95% CI, 240-1315]), time spent in moderate-to-vigorous physical activity (0.16 [95% CI, 0.03-0.29] hours), and in the mean vector magnitude units (25 [95% CI, 0.1-49] counts per minute). There were no between-group differences in the other accelerometer outcomes of interest.

Conclusions: In this exploratory analysis of the DETERMINE trials, dapagliflozin had a beneficial effect on selected accelerometer-based measures of physical activity in patients with heart failure across the entire left ventricular ejection fraction spectrum, yet did not improve 6-minute walk distance, as previously reported. These data suggest that accelerometer-based measurements of everyday activity may provide complementary information to 6-minute walk distance and identify beneficial effects of treatment not detected by 6-minute walk distance.

Registration: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT03877237 and NCT03877224.

Background: Women with heart failure and reduced ejection fraction (HFrEF) have greater symptoms and a lower quality of life compared with men; however, the role of noncardiac mechanisms remains poorly resolved. We hypothesized that differences in skeletal muscle pathology between men and women with HFrEF may explain clinical heterogeneity.

Methods: Muscle biopsies from both men (n=22) and women (n=16) with moderate HFrEF (New York Heart Association classes I-III) and age- and sex-matched controls (n=18 and n=16, respectively) underwent transcriptomics (RNA-sequencing), myofiber structural imaging (histology), and molecular signaling analysis (gene/protein expression), with serum inflammatory profiles analyzed (enzyme-linked immunosorbent assay). Two-way ANOVA was conducted (interaction sex and condition).

Results: RNA-sequencing identified 5629 differentially expressed genes between men and women with HFrEF, with upregulated terms for catabolism and downregulated terms for mitochondria in men. mRNA expression confirmed an effect of sex (P<0.05) on proatrophic genes related to ubiquitin proteasome, autophagy, and myostatin systems (higher in all men versus all women), whereas proanabolic IGF1 expression was higher (P<0.05) in women with HFrEF only. Structurally, women compared with men with HFrEF showed a pro-oxidative phenotype, with smaller but higher numbers of type I fibers, alongside higher muscle capillarity (P_interaction<0.05) and higher type I fiber areal density (P_interaction<0.05). Differences in gene/protein expression of regulators of muscle phenotype were detected between sexes, including HIF1α, ESR1, VEGF (vascular endothelial growth factor), and PGC1α expression (P<0.05), and for upstream circulating factors, including VEGF, IL (interleukin)-6, and IL-8 (P<0.05).

Conclusions: Sex differences in muscle pathology in HFrEF exist, with men showing greater abnormalities compared with women related to the transcriptome, fiber phenotype, capillarity, and circulating factors. These preliminary data question whether muscle pathology is a primary mechanism contributing to greater symptoms in women with HFrEF and highlight the need for further investigation.

Background: Renal dysfunction is common and associated with a poor prognosis in patients with heart failure. However, the association of cardiac structure and function with decline in kidney function in this population is unknown. We aimed to assess the association between individual measures of cardiac structure and function with changes in renal function and renal outcomes in patients with heart failure with preserved ejection fraction.

Methods: Patients enrolled in the PARAGON-HF (Prospective Comparison of Angiotensin Receptor-Neprilysin Inhibitor With Angiotensin-Receptor Blockers Global Outcomes in Heart Failure With Preserved Ejection Fraction) echocardiographic substudy were included. The association between each echocardiographic parameter (expressed in standardized units) and changes over time in estimated glomerular filtration rate was calculated with repeated-measures mixed-effect models. Multivariable Cox proportional hazards models were used to identify individual cardiac parameters associated with the composite renal outcome (≥50% decline in estimated glomerular filtration rate relative to baseline, development of end-stage renal disease, or death attributable to renal causes), after adjusting for covariates.

Results: Among 1097 patients (mean age 74±8 years and 53% women), over a median follow-up of 2.9 years, 28 composite renal events (0.9 per 100 person-years) occurred. Higher left ventricular (LV) mass index and higher E/average e' ratio were associated with significantly more profound annual decline in estimated glomerular filtration rate (for both, -0.4 [95% CI, -0.7 to -0.1] mL/min/1.73 m²/y per 1 higher SD). Higher LV mass index, LV end-diastolic volume index, right ventricular end-diastolic area, and a lower right ventricular fractional area change were each associated with a significantly higher risk for the composite renal outcome.

Conclusions: In the PARAGON-HF echocardiographic substudy, higher LV mass and filling pressures were independently associated with more profound kidney function decline, and higher LV mass and volume, as well as impaired right ventricular structure and function, were each associated with renal events. Assessing these parameters may help identify patients with heart failure with preserved ejection fraction at higher risk for adverse renal events and indicate potential therapeutic targets.

Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01920711.