Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study

BACKGROUND

Frailty is common in heart failure (HF) and is associated with death but not routinely captured clinically. Frailty is linked with inflammation and malnutrition, which can be assessed by a novel plasma multimarker score: the metabolic vulnerability index (MVX). We sought to evaluate the associations between frailty and MVX and their prognostic impact.

METHODS AND RESULTS

In an HF community cohort (2003-2012), we measured frailty as a proportion of deficits present out of 32 physical limitations and comorbidities, MVX by nuclear magnetic resonance spectroscopy, and collected extensive longitudinal clinical data. Patients were categorized by frailty score (≤0.14, >0.14 and ≤0.27, >0.27) and MVX score (≤50, >50 and ≤60, >60 and ≤70, >70). Cox models estimated associations of frailty and MVX with death, adjusted for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Uno's C-statistic measured the incremental value of MVX beyond frailty and clinical factors. Weibull's accelerated failure time regression assessed whether MVX mediated the association between frailty and death. We studied 985 patients (median age, 77; 48% women). Frailty and MVX were weakly correlated (Spearman's ρ=0.21). The highest frailty group experienced an increased rate of death, independent of MVX, MAGGIC score, and NT-proBNP (hazard ratio, 3.3 [95% CI, 2.5-4.2]). Frailty improved Uno's c-statistic beyond MAGGIC score and NT-proBNP (0.69-0.73). MVX only mediated 3.3% and 4.5% of the association between high and medium frailty groups and death, respectively.

CONCLUSIONS

In this HF cohort, frailty and MVX are weakly correlated. Both independently contribute to stratifying the risk of death, suggesting that they capture distinct domains of vulnerability in HF.

Lipoprotein insulin resistance score and mortality risk stratification in heart failure

BACKGROUND

Higher total serum cholesterol is associated with lower mortality in heart failure. Evaluating associations between lipoprotein subfractions and mortality among people with heart failure may provide insights into this observation.

METHODS

We prospectively enrolled a community cohort of people with heart failure from 2003 to 2012 and assessed vital status through 2021. Plasma collected at enrollment was used to measure lipoprotein subfractions via nuclear magnetic resonance spectroscopy. A composite score of six lipoprotein subfractions was generated using the lipoprotein insulin resistance index (LP-IR) algorithm. Using covariate-adjusted proportional hazards regression models, we evaluated associations between LP-IR score and all-cause mortality.

RESULTS

Among 1,382 patients with heart failure (median follow-up 13.9 years), a one standard deviation (SD) increment in LP-IR score was associated with lower mortality (hazard ratio [HR]= 0.93, 95% CI: 0.97, 0.99). Among LP-IR parameters, mean high density lipoprotein (HDL) particle size was significantly associated with lower mortality (HR per 1-SD decrement in mean HDL particle size = 0.83, 95% CI: 0.78, 0.89), suggesting the inverse association between LP-IR score and mortality may be driven by smaller mean HDL particle size.

CONCLUSIONS

LP-IR score was inversely associated with mortality among patients with heart failure and may be driven by smaller HDL particle size.

Incremental Value of a Metabolic Risk Score for Heart Failure Mortality: A Population-Based Study

BACKGROUND

Heart failure is heterogeneous syndrome with persistently high mortality. Nuclear magnetic resonance spectroscopy enables high-throughput metabolomics, suitable for precision phenotyping. We aimed to use targeted metabolomics to derive a metabolic risk score (MRS) that improved mortality risk stratification in heart failure.

METHODS

Nuclear magnetic resonance was used to measure 21 metabolites (lipoprotein subspecies, branched-chain amino acids, alanine, GlycA (glycoprotein acetylation), ketone bodies, glucose, and citrate) in plasma collected from a heart failure community cohort. The MRS was derived using least absolute shrinkage and selection operator penalized Cox regression and temporal validation. The association between the MRS and mortality and whether risk stratification was improved over the Meta-Analysis Global Group in Chronic Heart Failure clinical risk score and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels were assessed.

RESULTS

The study included 1382 patients (median age, 78 years, 52% men, 43% reduced ejection fraction) with a 5-year survival rate of 48% (95% CI, 46%-51%). The MRS included 9 metabolites measured. In the validation data set, a 1 standard deviation increase in the MRS was associated with a large increased rate of death (hazard ratio, 2.2 [95% CI, 1.9-2.5]) that remained after adjustment for Meta-Analysis Global Group in Chronic Heart Failure score and NT-proBNP (hazard ratio, 1.6 [95% CI, 1.3-1.9]). These associations did not differ by ejection fraction. The integrated discrimination and net reclassification indices, and Uno's C statistic, indicated that the addition of the MRS improved discrimination over Meta-Analysis Global Group in Chronic Heart Failure and NT-proBNP.

CONCLUSIONS

This MRS developed in a heart failure community cohort was associated with a large excess risk of death and improved risk stratification beyond an established risk score and clinical markers.

The Metabolic Vulnerability Index: A Novel Marker for Mortality Prediction in Heart Failure

BACKGROUND

Inflammation and protein energy malnutrition are associated with heart failure (HF) mortality. The metabolic vulnerability index (MVX) is derived from markers of inflammation and malnutrition and measured by nuclear magnetic resonance spectroscopy. MVX has not been examined in HF.

OBJECTIVES

The authors sought to examine the prognostic value of MVX in patients with HF.

METHODS

The authors prospectively assembled a population-based cohort of patients with HF from 2003 to 2012 and measured MVX scores with a nuclear magnetic resonance scan from plasma collected at enrollment. Patients were divided into 4 MVX score groups and followed until March 31, 2021.

RESULTS

The authors studied 1,382 patients (median age: 78 years; 48% women). The median MVX score was 64.6. Patients with higher MVX were older, more likely to be male, have atrial fibrillation, have higher NYHA functional class, and have HF duration of >18 months. Higher MVX was associated with mortality independent of Meta-analysis Global Group in Chronic Heart Failure score, ejection fraction, and other prognostic biomarkers. Compared to those with the lowest MVX, the HRs for MVX groups 2, 3, and 4 were 1.2 (95% CI: 0.9-1.4), 1.6 (95% CI: 1.3-2.0), and 1.8 (95% CI: 1.4-2.2), respectively (Ptrend < 0.001). Measures of model improvement document the added value of MVX in HF for classifying the risk of death beyond the Meta-analysis Global Group in Chronic Heart Failure score and other biomarkers.

CONCLUSIONS

In this HF community cohort, MVX was strongly associated with mortality independently of established clinical factors and improved mortality risk classification beyond clinically validated markers. These data underscore the potential of MVX to stratify risk in HF.

Circulating ketone bodies and mortality in heart failure: a community cohort study

Background

The relationship between ketone bodies (KB) and mortality in patients with heart failure (HF) syndrome has not been well established.

Objectives

The aim of this study is to assess the distribution of KB in HF, identify clinical correlates, and examine the associations between plasma KB and all-cause mortality in a population-based HF cohort.

Methods

The plasma KB levels were measured by nuclear magnetic resonance spectroscopy. Multivariable linear regression was used to examine associations between clinical correlates and KB levels. Proportional hazard regression was employed to examine associations between KB (represented as both continuous and categorical variables) and mortality, with adjustment for several clinical covariates.

Results

Among the 1,382 HF patients with KB measurements, the median (IQR) age was 78 (68, 84) and 52% were men. The median (IQR) KB was found to be 180 (134, 308) μM. Higher KB levels were associated with advanced HF (NYHA class III-IV) and higher NT-proBNP levels (both P < 0.001). The median follow-up was 13.9 years, and the 5-year mortality rate was 51.8% [95% confidence interval (CI): 49.1%-54.4%]. The risk of death increased when KB levels were higher (HRhigh vs. low group 1.23; 95% CI: 1.05-1.44), independently of a validated clinical risk score. The association between higher KB and mortality differed by ejection fraction (EF) and was noticeably stronger among patients with preserved EF.

Conclusions

Most patients with HF exhibited KB levels that were consistent with those found in healthy adults. Elevated levels of KB were observed in patients with advanced HF. Higher KB levels were found to be associated with an increased risk of death, particularly in patients with preserved EF.

Abstract P524: Metabolic Vulnerability and Frailty for Risk Stratification in Heart Failure: A Community Cohort Study

Introduction: Over 6 million people in the U.S. have heart failure (HF), less than half are expected to survive beyond 5 years. The need to better stratify mortality risk in HF is recognized. Frailty is associated with mortality in HF but not routinely measured clinically. As frailty is linked to inflammation and malnutrition, we hypothesized that the Metabolic Vulnerability Index (MVX) a multimarker score of systemic inflammation (small HDL particles, GlycA) and malnutrition (leucine, valine, isoleucine, citrate), could serve as a biomarker of frailty to predict mortality risk.

Methods: Clinical data and plasma were collected from 1,389 patients from a HF community cohort between 2003-2012. We measured frailty using the Rockwood Index as the proportion of deficits present out of 32 physical limitations and comorbidities. MVX was calculated from the nuclear magnetic resonance LipoProfile® test. Patients were categorized by frailty (0-0.15; 0.16-0.27; 0.28-0.78) and MVX (33.4-50, 50-60, 60-70, 70-85.8) cutpoints. Cox models estimated the association of frailty and MVX assignment with mortality, adjusted for Meta-Analysis Global Group in Chronic HF (MAGGIC) score, a validated clinical risk score for HF mortality.

Results: Frailty and MVX scores were available in 985 patients (median age 77, IQR: 67-84; 48% women). Higher frailty was associated with higher MVX (p-trend < 0.001). The highest frailty and MVX groups experienced large increases in risk of death, after adjustment for MAGGIC score (HR=3.3, 95% CI=2.6-4.2) and (HR=2.7, 95% CI=2.1-3.5), respectively. When adjusted for one another and MAGGIC score, MVX and frailty associations with death were only minimally attenuated: frailty (HR=3.2, 95% CI=2.5-4.0) and MVX (HR=2.4, 95% CI=1.9-3.2) (Figure 1).

Conclusion: In this community cohort of patients with HF, frailty and MVX are positively associated with one another. However, both indicators are independently associated with an increased risk of death and can contribute to risk stratification.

Abstract P177: Circulating Ketone Bodies and Mortality in Heart Failure: A Community Cohort Study

Background: Heart failure (HF) is associated with metabolic alterations, including ketogenesis. However, determinants of ketogenesis and risk of mortality in HF is not defined. Total ketone bodies (KB) include β-hydroxybutyrate, acetoacetate, and acetone and can be measured in plasma by nuclear magnetic resonance (NMR). The aim of this study is to determine the relationship between KB and clinical characteristics in a community HF cohort and to assess the association between KB and all-cause mortality.

Methods: A population-based cohort of 1,389 HF patients was prospectively enrolled between 2003 and 2012. Plasma KB was measured by LP4 NMR LipoProfile ® assay/test on the Vantera® NMR analyzer platform. A conditional inference tree method (ctree R Package) was used to determine optimal KB group cut points. Associations between clinical characteristics and KB were measured with Wilcoxon rank sum test and Pearson’s Chi-squared test. Kaplan-Meier method estimated survival. Cox regression analyses were used to estimate associations between KB concentrations and mortality.

Results: Among the 1,382 HF patients with KB measurements, the median age was 78 years (IQR 68-84) and 52% were men. Median KB was 180 μM (IQR 134-308). Patients were divided into two groups with lower KB (≤471.5 μM) and higher KB (>471.5 μM). Patients with higher KB (N=210) had lower BMI, higher BNP, and were more likely to be in the New York Heart Association class III-IV; however, these patients were less likely to have hyperlipidemia, coronary disease, or diabetes mellitus (P < 0.05). Age, sex, creatinine, ejection fraction, or Meta-Analysis Global Group in Chronic HF (MAGGIC) score did not differ by KB group. Higher KB was associated with worse survival (figure). After adjustment for the MAGGIC score, higher KB was associated with increased risk of mortality (HR 1.3; 95% CI, 1.08-1.48).

Conclusions: In this community HF cohort, higher KB was associated with increased mortality, independent of the MAGGIC score.

Lipoprotein Assessment in the twenty-first Century

Based on decades of both basic science and epidemiologic research, there is overwhelming evidence for the causal relationship between high levels of cholesterol, especially low-density lipoprotein cholesterol and cardiovascular disease. Risk evaluation and monitoring the response to lipid-lowering therapies are heavily dependent on the accurate assessment of plasma lipoproteins in the clinical laboratory. This article provides an update of lipoprotein metabolism as it relates to atherosclerosis and how diagnostic measures of lipids and lipoproteins can serve as markers of cardiovascular risk, with a focus on recent advances in cardiovascular risk marker testing.

Effectiveness and Reach of the Primary Palliative Care for Emergency Medicine (PRIM-ER) Pilot Study: a Qualitative Analysis

BACKGROUND

Palliative care interventions in the ED capture high-risk patients at a time of crisis and can dramatically improve patient-centered outcomes.

OBJECTIVE

To understand the facilitators that contributed to the success of the Primary Palliative Care for Emergency Medicine (PRIM-ER) quality improvement pilot intervention.

DESIGN

Effectiveness was evaluated through semi-structured interviews. Reach outcomes were measured by percent of all full-time emergency providers (physicians, physician assistants, nurses) who completed the intervention education components and baseline survey assessing attitudes and knowledge on end-of-life care.

PARTICIPANTS

Emergency medicine providers affiliated with two medical centers (N = 197). Interviews conducted with six key informants at both institutions.

APPROACH

Interviews were recorded, transcribed, and analyzed using deductive and inductive approaches. Descriptive statistics include reach outcomes and baseline survey results.

KEY RESULTS

Both sites successfully implemented all components of the intervention and achieved a high level (> 75%) of intervention reach. Two themes emerged as facilitators to successful effectiveness facilitators of PRIM-ER: (1) institutional leadership support and (2) leveraging established quality improvement (QI) processes. Institutional support included leveraging leadership with authority to (a) mandate trainings; (b) substitute PRIM-ER education for normally scheduled education; and (c) provide protected time to implement intervention components. Effectiveness was also enhanced by capitalizing on existing QI processes which included (a) leveraging interdisciplinary partnerships and communication plans and (b) monitoring performance improvement data.

CONCLUSIONS

Capitalizing on strong institutional leadership support and established QI processes enhanced the reach and effectiveness of the PRIM-ER pilot. These findings will guide the PRIM-ER researchers in scaling up the intervention in the remaining 33 sites, as well as enhance the planning of other complex quality improvement interventions in clinical settings.

REGISTRATION DETAILS

ClinicalTrials.gov Identifier: NCT03424109; Grant Number: AT009844-01.

Genetic testing and referral patterns of non-BRCA mutation carriers at increased or uncertain risk of ovarian cancer

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Background: While the management of BRCA1/2 is clear, management of non-BRCA mutations with increased risk or uncertain risk of ovarian cancer (OC) is not well established. Previously, we reported that referral to a gynecologic oncologist (GO) resulted in a 30-fold increased uptake of risk reducing surgery (RRS). We aimed to identify trends in genetic testing (GT) and referral to a GO of patients (pts) with such mutations. Methods: In this retrospective cohort study at 3 satellite sites within 1 institution from 2014 to 2018, pts were identified by ICD-10 codes Z15.01, Z15.02, Z15.09, Z15.89, C50.919, Q99.8, and C54.1. Pts with mutations with increased risk of OC ( MLH1, MSH2/6, PMS2, EPCAM (LS genes) , RAD51C/D, BRIP1, STK11) and uncertain risk of OC ( PALB2, ATM, BARD1, NBN) were included; BRCA1/2 and variants of uncertain significance were excluded . Outcomes of interest were patterns of GT and referral to a GO. Chi square and logistic regression were used with p < 0.05. Results: Of 20,000 pts with above ICD-10 codes, 240 pts had genes of interest. Mutations in increased risk of OC included: LS genes, 131; BRIP1, 14; RAD51D, 8; RAD51C, 5; STK11, 1. Mutations associated with uncertain risk of OC were: ATM, 43; PALB2, 23; NBN, 10; BARD1, 5. Pts with known mutations prior establishing care at our institution (N = 69) were less likely to be referred to a GO (22% vs 78%, p = 0.015). Pts with LS genes were more likely to be referred to a GO (52% vs. 25%, p < 0.001), to be tested by a GC (52% vs 25%, p < 0.001), and to be tested for family history (FH) of known mutation (69% vs 30%, p < 0.001). Provider performing GT included: genetic counselor (GC), 66 (28%); medical oncologist, 44 (18%); general obstetrician-gynecologist, 44 (18%); breast surgeon, 6 (3%), and primary care provider, 5 (2%). Of 66 pts tested by a GC, 46 (70%) were referred to GO, vs 48/105 (45%) pts who underwent GT by non-GC (p = 0.001). Reasons for GT among pts were: FH of cancer, 113 (47%); personal history of cancer, 56 (23%); known FH of a mutation, 49 (20%); and unknown indication, 22 (9%). When controlling for age, parity, race, insurance, GT provider, and reasons for GT, mutations with increased risk of OC were associated with referral to a GO (OR 3.55, 95% CI 1.88-6.72), along with pts who were tested by a GC (OR 2.65, 95% CI 1.27-5.51). Conclusions: Only ~30% of pts underwent GT by a GC, which was associated with increased referral to a GO. LS genes are better known and were associated with higher uptake of GO referral. Education of OC risks of these newer mutations among providers performing GT may increase referral to a GO and uptake of RRS.