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Abstract Intense intermittent fasting regimens safely reduce weight to a similar extent as caloric restriction. A previous trial reported low-frequency 26-week intermittent fasting reduced homeostatic model assessment of insulin resistance (HOMA-IR) without significant weight loss. During fasting, human growth hormone (HGH) increases substantially, but whether basal HGH modifies the effect of fasting on outcomes of repeated fasting is unknown. In a post hoc analysis of a randomized controlled trial (registration: clinicaltrials.gov, NCT02770313, May 12, 2016), subjects (N = 68) were adults ages 21–70 years with modest cholesterol elevation, ≥1 metabolic syndrome component, available HGH measurements, no chronic disease, and no statin or anti-diabetes medication. Randomization was 1:1 to intermittent fasting (24-hour, water-only, twice-per-week for 4 weeks, then once-per-week for 22 weeks) or 26-week ad libitum control. General linear modeling evaluated the interaction of trial arm with baseline HGH for HOMA-IR changes. Subjects with lower baseline HGH had 26-week HOMA-IR changes (p = 0.003) of −1.04 ± 0.99 for fasting versus 0.60 ± 1.04 for controls. Subjects with higher baseline HGH had HOMA-IR changes (p = 0.26) of −0.69 ± 0.75 (fasting) and −0.42 ± 0.92 (controls). The interaction of fasting with lower baseline HGH was significant (p-interaction=0.004). Results were similar for insulin and glucose. Weight loss at 26 weeks was not significantly different between fasting and controls (−1.74 ± 4.81 kg vs. 0.21 ± 3.50 kg, p = 0.08) and was not correlated with changes in HOMA-IR, insulin, glucose, and HGH. In conclusion, lower baseline HGH modified the effect of low-frequency water-only 24-hour fasting in profoundly reducing HOMA-IR over 26 weeks compared both to controls and to fasting subjects with higher baseline HGH.

IntroductionWater-only fasting for one day or more may provide health benefits independent of weight loss. Human growth hormone (HGH) may play a key role in multiple fasting-triggered mechanisms. Whether HGH changes during fasting are independent of weight loss and how basal HGH and HGH change relate to other fasting-induced changes are unknown.MethodsApparently healthy individuals (N=30) were randomized by Latin square to begin two days with either 24-hour water-only fasting or a control of 24-hour ad libitum eating. On day 2, subjects were crossed over to control (if day 1 was fasting) or fasting (if they ate on day 1). HGH, weight, and other parameters were measured at baseline and at the end of the first and second days.ResultsBaseline HGH had median 0.50 ng/mL for females (n=20) and 0.04 ng/mL for males (n=10), and correlated inversely with weight, glucose, insulin, and triglycerides and positively with changes in insulin and HOMA-IR. The 24-hour fasting-induced HGH change was uncorrelated with weight loss (r= 0.01, p=0.98), but correlated with changes in glucose, HGB, and IGF-1. The percent increase in HGH was greater (p

Background: Intermittent fasting may increase longevity and lower cardiometabolic risk. This study evaluated whether fasting modifies clinical risk scores for mortality [i.e., Intermountain Mortality Risk Score (IMRS)] or chronic diseases [e.g., Pooled Cohort Risk Equations (PCRE), Intermountain Chronic Disease score (ICHRON)]. Methods and results: Subjects (N = 71) completing the WONDERFUL trial were aged 21–70 years, had ≥1 metabolic syndrome criteria, elevated cholesterol, and no anti-diabetes medications, statins, or chronic diseases. The intermittent fasting arm underwent 24-h water-only fasting twice-per-week for 4 weeks and once-per-week for 22 weeks (26 weeks total). Analyses examined the IMRS change score at 26 weeks vs. baseline between intermittent fasting (n = 38) and ad libitum controls (n = 33), and change scores for PCRE, ICHRON, HOMA-IR, and a metabolic syndrome score (MSS). Age averaged 49 years; 65% were female. Intermittent fasting increased IMRS (0.78 ± 2.14 vs. controls: −0.61 ± 2.56; p = 0.010) but interacted with baseline IMRS (p-interaction = 0.010) to reduce HOMA-IR (but not MSS) more in subjects with higher baseline IMRS (median HOMA-IR change: fasters, −0.95; controls, +0.05) vs. lower baseline IMRS (−0.29 vs. −0.32, respectively). Intermittent fasting reduced ICHRON (−0.92 ± 2.96 vs. 0.58 ± 3.07; p = 0.035) and tended to reduce PCRE (−0.20 ± 0.22 vs. −0.14 ± 0.21; p = 0.054). Conclusions: Intermittent fasting increased 1-year IMRS mortality risk, but decreased 10-year chronic disease risk (PCRE and ICHRON). It also reduced HOMA-IR more in subjects with higher baseline IMRS. Increased IMRS suggests fasting may elevate short-term mortality risk as a central trigger for myriad physiological responses that elicit long-term health improvements. Increased IMRS may also reveal short-term fasting-induced safety concerns.

Therapeutic Area: ASCVD/CVD Risk Reduction Background: Lp(a) is an important independent risk factor for ASCVD, and Lp(a) lowering therapies are in development. We evaluated Lp(a) trends to review impact of Lp(a) testing on utilization of lipid lowering therapies. Methods: Lp(a) is an important independent risk factor for ASCVD, and Lp(a) lowering therapies are in development. We evaluated Lp(a) trends to review impact of Lp(a) testing on utilization of lipid lowering therapies. Results: A total of 3,254 patients (pts) without a history of CAD, stroke, or PAD were identified. Pt characteristics are shown in Table 1. Lp(a) was elevated in 32.9% of tests (mild: 9.6%, moderate: 15.2%, severe: 8.1%). Lp(a) assessment was associated with increased statin therapy use (from 417 to 1271; Tables 3 and 4) and Lp(a) testing (Table 2). While relative percent use of moderate intensity statin did not change, there was less use of low intensity and increase use of high intensity statin. Conclusions: In our large healthcare system, Lp(a) testing in a primary prevention population was associated with increased statin therapy and relative decrease in low- but increase in high-intensity statin. Lp(a) elevation is common, i.e., in 1/3 of pts tested, with moderate-severe in 1/6. Given the relative common finding of elevation and familial nature, widespread testing may identify more individuals eligible for lipid lowering therapy.

AimsResidual cardiovascular risk persists despite statin therapy. In REDUCE-IT, icosapent ethyl (IPE) reduced total events, but the mechanisms of benefit are not fully understood. EVAPORATE evaluated the effects of IPE on plaque characteristics by coronary computed tomography angiography (CCTA). Given the conclusion that the IPE-treated patients demonstrate that plaque burden decreases has already been published in the primary study analysis, we aimed to demonstrate whether the use of an analytic technique defined and validated in histological terms could extend the primary study in terms of whether such changes could be reliably seen in less time on drug, at the individual (rather than only at the cohort) level, or both, as neither of these were established by the primary study result.Methods and ResultsEVAPORATE randomized the patients to IPE 4 g/day or placebo. Plaque morphology, including lipid-rich necrotic core (LRNC), fibrous cap thickness, and intraplaque hemorrhage (IPH), was assessed using the ElucidVivo® (Elucid Bioimaging Inc.) on CCTA. The changes in plaque morphology between the treatment groups were analyzed. A neural network to predict treatment assignment was used to infer patient representation that encodes significant morphological changes. Fifty-five patients completed the 18-month visit in EVAPORATE with interpretable images at each of the three time points. The decrease of LRNC between the patients on IPE vs. placebo at 9 months (reduction of 2 mm3 vs. an increase of 41 mm3, p = 0.008), widening at 18 months (6 mm3 vs. 58 mm3 increase, p = 0.015) were observed. While not statistically significant on a univariable basis, reductions in wall thickness and increases in cap thickness motivated multivariable modeling on an individual patient basis. The per-patient response assessment was possible using a multivariable model of lipid-rich phenotype at the 9-month follow-up, p

IntroductionLong-chain omega-3 polyunsaturated fatty acids (OM3 PUFA) are commonly used for cardiovascular disease prevention. High-dose eicosapentaenoic acid (EPA) is reported to reduce major adverse cardiovascular events (MACE); however, a combined EPA and docosahexaenoic acid (DHA) supplementation has not been proven to do so. This study aimed to evaluate the potential interaction between EPA and DHA levels on long-term MACE.MethodsWe studied a cohort of 987 randomly selected subjects enrolled in the INSPIRE biobank registry who underwent coronary angiography. We used rapid throughput liquid chromatography-mass spectrometry to quantify the EPA and DHA plasma levels and examined their impact unadjusted, adjusted for one another, and fully adjusted for comorbidities, EPA + DHA, and the EPA/DHA ratio on long-term (10-year) MACE (all-cause death, myocardial infarction, stroke, heart failure hospitalization).ResultsThe average subject age was 61.5 ± 12.2 years, 57% were male, 41% were obese, 42% had severe coronary artery disease (CAD), and 311 (31.5%) had a MACE. The 10-year MACE unadjusted hazard ratio (HR) for the highest (fourth) vs. lowest (first) quartile (Q) of EPA was HR = 0.48 (95% CI: 0.35, 0.67). The adjustment for DHA changed the HR to 0.30 (CI: 0.19, 0.49), and an additional adjustment for baseline differences changed the HR to 0.36 (CI: 0.22, 0.58). Conversely, unadjusted DHA did not significantly predict MACE, but adjustment for EPA resulted in a 1.81-fold higher risk of MACE (CI: 1.14, 2.90) for Q4 vs. Q1. However, after the adjustment for baseline differences, the risk of MACE was not significant for DHA (HR = 1.37; CI: 0.85, 2.20). An EPA/DHA ratio ≥1 resulted in a lower rate of 10-year MACE outcomes (27% vs. 37%, adjusted p-value = 0.013).ConclusionsHigher levels of EPA, but not DHA, are associated with a lower risk of MACE. When combined with EPA, higher DHA blunts the benefit of EPA and is associated with a higher risk of MACE in the presence of low EPA. These findings can help explain the discrepant results of EPA-only and EPA/DHA mixed clinical supplementation trials.

Abstract Aims This analysis qualitatively describes the impact of hyperkalaemia (HK) and renin‐angiotensin‐aldosterone system inhibitor (RAASi) use on clinical outcomes in patients with heart failure (HF). Methods and results Patients were included if they were ≥18 years old; had a serum potassium result between 1 January 2003 and 3 December 2018; had ≥2 separate, non‐urgent care or emergency department encounters; and had an HF diagnosis. Criteria were met by 52 253 patients; 48 333 had sufficient follow‐up for analysis. Patients were stratified by the presence/absence of HK (serum potassium >5.0 mmol/L) (n = 31 619 and n = 20 634, respectively) and by baseline left ventricular ejection fraction (LVEF) ≤40% or >40%. Compared with patients without HK (no‐HK), those with HK had significantly higher rates of baseline cardiovascular risk factors, prior diagnoses, and greater RAASi use in both baseline and follow‐up periods. Assessed outcomes included RAASi use, rate of 3 year major adverse cardiovascular events (MACE), and individual component rates. Between baseline and follow‐up analyses, the proportion of patients on RAASi decreased by 5% in patients with HK but increased by 20% in no‐HK patients. Overall, MACE and death were consistently highest in the presence of HK without RAASi treatment (63% and 62%, respectively) and lowest in no‐HK but on RAASi (25% and 21%, respectively). After complete multivariable adjustment, these trends were consistent regardless of baseline LVEF. Conclusions In this large, real‐world HF population, HK was common and linked to baseline clinical risk factors, declining use of RAASi treatment, and an increase in future MACE, regardless of baseline LVEF. Both HK and reduced RAASi use were independent predictors of future MACE.

Objectives The Intermountain Risk Score (IMRS), composed using published sex-specific weightings of parameters in the complete blood count (CBC) and basic metabolic profile (BMP), is a validated predictor of mortality. We hypothesised that IMRS calculated from prepandemic CBC and BMP predicts COVID-19 outcomes and that IMRS using laboratory results tested at COVID-19 diagnosis is also predictive.Design Prospective observational cohort study.Setting Primary, secondary, urgent and emergent care, and drive-through testing locations across Utah and in sections of adjacent US states. Viral RNA testing for SARS-CoV-2 was conducted from 3 March to 2 November 2020.Participants Patients aged ≥18 years were evaluated if they had CBC and BMP measured in 2019 and tested positive for COVID-19 in 2020.Primary and secondary outcome measures The primary outcome was a composite of hospitalisation or mortality, with secondary outcomes being hospitalisation and mortality separately.Results Among 3883 patients, 8.2% were hospitalised and 1.6% died. Subjects with low, mild, moderate and high-risk IMRS had the composite endpoint in 3.5% (52/1502), 8.6% (108/1256), 15.5% (152/979) and 28.1% (41/146) of patients, respectively. Compared with low-risk, subjects in mild-risk, moderate-risk and high-risk groups had HR=2.33 (95% CI 1.67 to 3.24), HR=4.01 (95% CI 2.93 to 5.50) and HR=8.34 (95% CI 5.54 to 12.57), respectively. Subjects aged

Objective. To determine factors associated with single antiplatelet (SAP) or dual antiplatelet (DAP) therapy and anticoagulants (AC) use in hospital and after discharge among patients with acute coronary syndrome (ACS). Methods. We evaluated 5,294 ACS patients in the Intermountain Heart Collaborative Study from 2004 to 2009. Multivariable logistic regressions were used to determine predictors of AC or AP use. Results. In hospital, 99% received an AC, 79% DAP, and 19% SAP; 78% had DAP + AC. Coronary stents were the strongest predictors of DAP use in hospital compared to SAP (P

Aims Though statin therapy is known to slow coronary atherosclerosis progression and reduce cardiovascular (CV) events, significant CV risk still remains. In the REDUCE-IT study, icosapent ethyl (IPE) added to statin therapy reduced initial CV events by 25% and total CV events by 30%, but its effects on coronary atherosclerosis progression have not yet been fully investigated. Therefore, this study is to determine whether IPE 4 g/day will result in a greater change from baseline in plaque volume measured by serial multidetector computed tomography than placebo in statin-treated patients. Methods and results EVAPORATE is a randomized, double-blind, placebo-controlled trial. Patients had to have coronary atherosclerosis by coronary computed tomographic angiography (CCTA) (≥1 angiographic stenoses with ≥20% narrowing), on stable statin therapy with low-density lipoprotein cholesterol levels 40–115 mg/dL, and persistently high triglyceride levels (135–499 mg/dL). Patients underwent an interim scan at 9 months and were followed for an additional 9 months with CCTA at 0, 9, and 18 months. Here, we present the protocol-specified interim efficacy results. A total of 80 patients were enrolled, with 67 completing the 9-month visit and having interpretable CCTA at baseline and at 9 months (age = 57 ± 6 years, male = 36, 63%). At the 9-month interim analysis, there was no significant change in low attenuation plaque (LAP) between active and placebo groups (74% vs. 94%, P  = 0.469). However, there was slowing of total non-calcified plaque (sum of LAP, fibrofatty, and fibrous plaque) (35% vs. 43%, P  = 0.010), total plaque (non-calcified + calcified plaque) (15% vs. 26%, P  = 0.0004), fibrous plaque (17% vs. 40%, P  = 0.011), and calcified plaque (−1% vs. 9%, P  = 0.001), after adjustment by baseline plaque, age, sex, diabetes, baseline triglyceride levels, and statin use. Conclusion EVAPORATE is the first study using CCTA to evaluate the effects of IPE as an adjunct to statin therapy on atherosclerotic plaque characteristics in a high-risk CV population with persistently high triglyceride levels. It provides important mechanistic data in regards to the reduction in CV events in the REDUCE-IT clinical trial. ClinicalTrials. govIdentifier NCT029226027. [ABSTRACT FROM AUTHOR]