Heart failure with normal LVEF in BIOSTAT-CHF

AIMS

Several studies have shown that heart failure (HF) drug treatment seems to benefit patients with preserved ejection fraction (HFpEF) and a left ventricular ejection fraction (LVEF) up to 55-60% but not with higher LVEF. Certain HF drugs are now indicated in patients with HFpEF and a LVEF below normal. However, not much is known about patients with a normal LVEF. Therefore, we investigated the prevalence, clinical characteristics and outcome of patients with HF and a normal LVEF.

METHODS AND RESULTS

Normal LVEF was defined according to the Recommendations for Cardiac Chamber Quantification from the American Society of Echocardiography as a LVEF ≥62% for men and ≥ 64% for women. Preserved ejection fraction was defined as a LVEF ≥50% and reduced ejection fraction as a LVEF <50%. In the total cohort of 1568 studied patients with heart failure (mean age 73 years; 33.6% female) 57 patients (3.6%) had a normal LVEF. These patients least likely had a previous myocardial infarction (p < 0.001) or diabetes (p = 0.045), had the lowest Left Ventricular End Diastolic Diameter (p < 0.001), the highest rate of previous HF hospitalization in the last year (p = 0.015), the highest cardiac output (p < 0.001) and were most frequently women (p < 0.001). Patients with a normal LVEF had the lowest risk for the primary combined outcome of all-cause mortality and HF hospitalization.

CONCLUSION

Only 3.6% of patients with HF had a sex-adjusted normal LVEF. Despite the sex-adjusted cut-offs they were more frequently female with less ischemic heart disease, higher cardiac output and better clinical outcomes.

Differences in biomarkers and molecular pathways according to age for patients with HFrEF

Aims 

Elderly patients with heart failure with reduced ejection fraction (HFrEF) have worse prognosis and less often receive guideline-recommended therapies. We aim to better understand the underlying pathophysiological processes associated with ageing in HFrEF potentially leading to targeted therapies in this vulnerable population.

Methods and results 

From a panel of 363 cardiovascular biomarkers available in 1611 patients with HFrEF in the BIOSTAT-CHF index cohort and cross-validated in 823 patients in the BIOSTAT-CHF validation cohort, we tested which biomarkers were dysregulated in patients aged &gt;75 vs. &lt;65 years. Second, pathway overrepresentation analyses were performed to identify biological pathways linked to higher plasma concentrations of biomarkers in elderly vs. younger patients. After adjustment, multiple test correction [false discovery rate (FDR) 1%], and cross-validation, 27/363 biomarkers were associated with older age, 22 positively and 5 negatively. The biomarkers that were positively associated with older age were associated with tumour cell regulation, extra-cellular matrix organization, and inflammatory processes, whereas biomarkers negatively associated with older age were associated with pathways that may point to cell proliferation and tumourigenesis. Among the 27 biomarkers, WFDC2 (WAP four-disulphide core domain protein 2)—that broadly functions as a protease inhibitor—was associated with older age and had the strongest association with all outcomes. No protein-by-sex interaction was observed.

Conclusions 

In elderly HFrEF patients, pathways associated with extra-cellular matrix organization, inflammatory processes, and tumour cell regulation were activated, while pathways associated with tumour proliferation functions were down-regulated. These findings may help in a better understanding of the ageing processes in HFrEF and identify potential therapeutic targets.

Changes in Proteomic Profiles are Related to Changes in BMI and Fat Distribution During 10 Years of Aging

OBJECTIVE

This study investigated how changes in 84 proteins over a 10-year period of aging were related to changes in measures of body fat and distribution over the same period.

METHODS

Cardiovascular candidate proteins were measured using the proximal extension assay technique, along with BMI and waist-hip ratio (WHR), at ages 70, 75, and 80 in 1,016 participants of the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) cohort. Associations of changes in plasma protein levels, BMI, and WHR over time were analyzed using linear mixed models.

RESULTS

Changes in 19 and 16 proteins were significantly associated with changes in BMI and WHR, respectively (P < 0.00059), over the investigated 10-year period. Leptin and fatty acid-binding protein 4 were among the proteins most strongly associated with changes in both BMI and WHR. Four of the proteins significantly tracked with change in BMI (P < 0.00059) but not WHR (P > 0.05): endothelial cell-specific molecule 1, pentraxin-related protein PTX3, ST2 protein (also known as interleukin-1 receptor-like 1), and spondin-1. Five proteins tracked with change in WHR (P < 0.00059) but not BMI (P > 0.05): caspase-8, cathepsin L1, oxidized low-density lipoprotein receptor 1, interleukin-6 receptor subunit alpha, and C-C motif chemokine 20.

CONCLUSIONS

This is the first large longitudinal study of how changes in plasma protein signatures are associated with changes in measures of body fat and distribution over 10 years of aging.