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Abstract Aims Obesity and epicardial adiposity play a role in the pathophysiology of heart failure with preserved ejection fraction (HFpEF), and both are associated with increased filling pressures and reduced exercise capacity. The haemodynamic basis for these observations remains inaccurately defined. We hypothesize that an abundance of epicardial adipose tissue (EAT) within the pericardial sac is associated with haemodynamic signs of pericardial constraint. Methods and results HFpEF patients who underwent invasive heart catheterization with simultaneous echocardiography were included. Right atrial pressure (RAP), right ventricular end‐diastolic pressure, and pulmonary capillary wedge pressure (PCWP) were invasively measured. The presence of a square root sign on the right ventricular pressure waveform and the RAP/PCWP ratio (surrogate parameters for pericardial constraint) were investigated. EAT thickness alongside the right ventricle was measured on echocardiography. Sixty‐four patients were studied, with a mean age of 73 ± 10 years, 64% women, and a mean body mass index (BMI) of 28.6 ± 5.4 kg/m2. In total, 47 patients (73%) had a square root sign. The presence of a square root sign was associated with higher BMI (29.3 vs. 26.7 kg/m2, P = 0.02), higher EAT (4.0 vs. 3.4 mm, P = 0.03), and higher RAP (9 vs. 6 mmHg, P = 0.04). Women had more EAT than men (4.1 vs. 3.5 mm, P = 0.04), despite a comparable BMI. Women with a square root sign had significantly higher EAT (4.3 vs. 3.3 mm, P = 0.02), a higher mean RAP (9 vs. 5 mmHg, P = 0.02), and a higher RAP/PCWP ratio (0.52 vs. 0.26, P = 0.002). In men, such associations were not seen, although there was no significant interaction between men and women (P > 0.05 for all analyses). Conclusions Obesity and epicardial adiposity are associated with haemodynamic signs of pericardial constraint in patients with HFpEF. The pathophysiological and therapeutic implications of this finding need further study.

BACKGROUND: Body mass index (BMI) is a known confounder for natriuretic peptides, but its influence on other biomarkers is less well described. We investigated whether BMI interacts with biomarkers association with prognosis in patients with acute heart failure (AHF). METHODS AND RESULTS: B-type natriuretic peptide (BNP), high-sensitivity cardiac troponin I (hs-cTnI), galectin-3, serum neutrophil gelatinase-associated lipocalin (sNGAL), and urine NGAL were measured serially in patients with AHF during hospitalization in the AKINESIS (Acute Kidney Injury Neutrophil gelatinase-associated lipocalin Evaluation of Symptomatic Heart Failure) study. Cox regression analysis was used to determine the association of biomarkers and their interaction with BMI for 30-day, 90-day and 1-year composite outcomes of death or HF readmission. Among 866 patients, 21.2%, 29.7% and 46.8% had normal (18.5-24.9 kg/m2), overweight (25-29.9 kg/m2) or obese (≥ 30 kg/m2) BMIs on admission, respectively. Admission values of BNP and hs-cTnI were negatively associated with BMI, whereas galectin-3 and sNGAL were positively associated with BMI. Admission BNP and hs-cTnI levels were associated with the composite outcome within 30 days, 90 days and 1 year. Only BNP had a significant interaction with BMI. When BNP was analyzed by BMI category, its association with the composite outcome attenuated at higher BMIs and was no longer significant in obese individuals. Findings were similar when evaluated by the last-measured biomarkers and BMIs. CONCLUSIONS: In patients with AHF, only BNP had a significant interaction with BMI for the outcomes, with its association attenuating as BMI increased; hs-cTnI was prognostic, regardless of BMI.

Abstract Aims Kidney function changes dynamically during AHF treatment, but risk factors for and consequences of worsening renal function (WRF) at hospital admission are uncertain. We aimed to determine the significance of WRF at admission for acute heart failure (AHF). Methods and results We evaluated a subgroup of 406 patients from The Acute Kidney Injury Neutrophil gelatinase–associated lipocalin Evaluation of Symptomatic heart failure Study (AKINESIS) who had serum creatinine measurements available within 3 months before and at the time of admission. Admission WRF was primarily defined as a 0.3 mg/dL or 50% creatinine increase from preadmission. Alternative definitions evaluated were a ≥0.5 mg/dL creatinine increase, ≥25% glomerular filtration rate decrease, and an overall change in creatinine. Predictors of admission WRF were evaluated. Outcomes evaluated were length of hospitalization, a composite of adverse in‐hospital events, and the composite of death or HF readmission at 30, 90, and 365 days. Biomarkers' prognostic ability for these outcomes were evaluated in patients with admission WRF. One‐hundred six patients (26%) had admission WRF. These patients had features of more severe AHF with lower blood pressure, higher BUN, and lower serum sodium concentrations at admission. Higher BNP (odds ratio [OR] per doubling 1.16–1.28, 95% confidence interval [CI] 1.00–1.55) and lower diastolic blood pressure (OR 0.97–0.98, 95% CI 0.96–0.99) were associated with a higher odds for the three definitions of admission WRF. The primary WRF definition was not associated with a longer hospitalization, but alternative WRF definitions were (1.3 to 1.6 days longer, 95% CI 1.0–2.2). WRF across definitions was not associated with a higher odds of adverse in‐hospital events or a higher risk of death or HF readmission. In the subset of patients with WRF, biomarkers were not prognostic for any outcome. Conclusions Admission WRF is common in AHF patients and is associated with an increased length of hospitalization, but not adverse in‐hospital events, death, or HF readmission. Among those with admission WRF, biomarkers did not risk stratify for adverse events.

Abstract Aims Insulin like growth factor binding protein 7 (IGFBP7) is a marker of senescence secretome and a novel biomarker in patients with heart failure (HF). We evaluated the prognostic value of IGFBP7 in patients with heart failure and examined associations to uncover potential new pathophysiological pathways related to increased plasma IGFBP7 concentrations. Methods and results We have measured plasma IGFBP7 concentrations in 2250 subjects with new‐onset or worsening heart failure (BIOSTAT‐CHF cohort). Higher IGFBP7 plasma concentrations were found in older subjects, those with worse kidney function, history of atrial fibrillation, and diabetes mellitus type 2, and in subjects with higher number of HF hospitalizations. Higher IGFBP7 levels also correlate with the levels of several circulating biomarkers, including higher NT‐proBNP, hsTnT, and urea levels. Cox regression analyses showed that higher plasma IGFBP7 concentrations were strongly associated with increased risk of all three main endpoints (hospitalization, all‐cause mortality, and combined hospitalization and mortality) (HR 1.75, 95% CI 1.25–2.46; HR 1.71, 95% CI 1.39–2.11; and HR 1.44, 95% CI 1.23–1.70, respectively). IGFBP7 remained a significant predictor of these endpoints in patients with both reduced and preserved ejection fraction. Likelihood ratio test showed significant improvement of all three risk prediction models, after adding IGFBP7 (P

Abstract Aims No biomarker has achieved widespread acceptance as a surrogate endpoint for early‐phase heart failure (HF) trials. We assessed whether changes over time in a panel of plasma biomarkers were associated with subsequent morbidity/mortality in HF with reduced ejection fraction (HFrEF). Methods and results In 1040 patients with HFrEF from the BIOSTAT‐CHF cohort, we investigated the associations between changes in the plasma concentrations of 30 biomarkers, before (baseline) and after (9 months) attempted optimization of guideline‐recommended therapy, on top of the BIOSTAT risk score and the subsequent risk of HF hospitalization/all‐cause mortality using Cox regression models. C‐statistics were calculated to assess discriminatory power of biomarker changes/month‐nine assessment. Changes in N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP) and WAP four‐disulphide core domain protein HE4 (WAP‐4C) were the only independent predictors of the outcome after adjusting for their baseline plasma concentration, 28 other biomarkers (both baseline and changes), and BIOSTAT risk score at baseline. When adjusting for month‐nine rather than baseline biomarkers concentrations, only changes in NT‐proBNP were independently associated with the outcome. The C‐statistic of the model including the BIOSTAT risk score and NT‐proBNP increased by 4% when changes were considered on top of baseline concentrations and by 1% when changes in NT‐proBNP were considered on top of its month‐nine concentrations and the BIOSTAT risk score. Conclusions Among 30 relevant biomarkers, a change over time was significantly and independently associated with HF hospitalization/all‐cause death only for NT‐proBNP. Changes over time were modestly more prognostic than baseline or end‐values alone. Changes in biomarkers should be further explored as potential surrogate endpoints in early phase HF trials.

Abstract Background A higher protein intake has been associated with a higher muscle mass and lower mortality rates in the general population, but data about protein intake and survival in patients with heart failure (HF) are lacking. Methods We studied the prevalence, predictors, and clinical outcome of estimated protein intake in 2516 patients from the BIOlogy Study to TAilored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) index cohort. Protein intake was calculated in spot urine samples using a validated formula [13.9 + 0.907 * body mass index (BMI) (kg/m2) + 0.0305 * urinary urea nitrogen level (mg/dL)]. Association with mortality was assessed using multivariable Cox regression models. All findings were validated in an independent cohort. Results We included 2282 HF patients (mean age 68 ± 12 years and 27% female). Lower estimated protein intake in HF patients was associated with a lower BMI, but with more signs of congestion. Mortality rate in the lowest quartile was 32%, compared with 18% in the highest quartile (P

Key Points: Question: For individuals undergoing medication treatment for opioid use disorder, can those who will return to opioid use be predicted at the individual level? Findings: In this decision analytical model using a harmonized data set of 2199 adults with opioid use disorder, incorporating treatment entry characteristics and urine drug screen results in the first 3 weeks of treatment improved model performance in predicting return to use. Meaning: These findings suggest that clinicians can use a web-based predictive model to stratify return-to-use risk when delivering care for patients with opioid use disorder. This decision analytical model uses a harmonized data set to develop an individual-level prediction tool to assess the risk of return to use in patients treated for opioid use disorder. Importance: No existing model allows clinicians to predict whether patients might return to opioid use in the early stages of treatment for opioid use disorder. Objective: To develop an individual-level prediction tool for risk of return to use in opioid use disorder. Design, Setting, and Participants: This decision analytical model used predictive modeling with individual-level data harmonized in June 1, 2019, to October 1, 2022, from 3 multicenter, pragmatic, randomized clinical trials of at least 12 weeks' duration within the National Institute on Drug Abuse Clinical Trials Network (CTN) performed between 2006 and 2016. The clinical trials covered a variety of treatment settings, including federally licensed treatment sites, physician practices, and inpatient treatment facilities. All 3 trials enrolled adult participants older than 18 years, with broad pragmatic inclusion and few exclusion criteria except for major medical and unstable psychiatric comorbidities. Intervention: All participants received 1 of 3 medications for opioid use disorder: methadone, buprenorphine, or extended-release naltrexone. Main Outcomes and Measures: Predictive models were developed for return to use, which was defined as 4 consecutive weeks of urine drug screen (UDS) results either missing or positive for nonprescribed opioids by week 12 of treatment. Results: The overall sample included 2199 trial participants (mean [SD] age, 35.3 [10.7] years; 728 women [33.1%] and 1471 men [66.9%]). The final model based on 4 predictors at treatment entry (heroin use days, morphine- and cocaine-positive UDS results, and heroin injection in the past 30 days) yielded an area under the receiver operating characteristic curve (AUROC) of 0.67 (95% CI, 0.62-0.71). Adding UDS in the first 3 treatment weeks improved model performance (AUROC, 0.82; 95% CI, 0.78-0.85). A simplified score (CTN-0094 OUD Return-to-Use Risk Score) provided good clinical risk stratification wherein patients with weekly opioid-negative UDS results in the 3 weeks after treatment initiation had a 13% risk of return to use compared with 85% for those with 3 weeks of opioid-positive or missing UDS results (AUROC, 0.80; 95% CI, 0.76-0.84). Conclusions and Relevance: The prediction model described in this study may be a universal risk measure for return to opioid use by treatment week 3. Interventions to prevent return to regular use should focus on this critical early treatment period. [ABSTRACT FROM AUTHOR]

Background: The six-minute walk test (6MWT) is widely used to measure exercise capacity; however, the magnitude of change that is clinically meaningful for individuals is not well established in heart failure with reduced ejection fraction (HFrEF).Objective: To calculate the minimal clinically important difference (MCID) for change in exercise capacity on the 6MWT in iron-deficient HFrEF populations.Methods: In this pooled secondary analysis of FAIR-HF and CONFIRM-HF trials, mean changes in 6MWT from baseline to weeks 12 and 24 were calculated and calibrated against the Patient Global Assessment (PGA) tool [clinical anchor] to derive MCIDs for improvement and deterioration.Results: Of 760 patients included in the two trials, 6MWT and PGA data were available for 680 (89%) and 656 (86%) patients at weeks 12 and 24, respectively. The mean 6MWT distance at baseline was 281±103m. There was a modest correlation between changes in 6MWT and PGA from baseline to week 12 (r=0.31, p<0.0001) and week 24 (r=0.43, p<0.0001). Respective estimates (95% confidence intervals) for MCID in 6MWT at weeks 12 and 24 were 14m (5;23) and 15m (3;27) for a "little improvement" (vs no change), 20m (10;30) and 24m (12;36) for "moderate improvement" vs a "little improvement", -11m (-32;9.2) and -31m (-53;-8) for a "little deterioration" (vs no change), and -84m (-144;-24) and -69m (-118;-20) for "moderate deterioration" vs a "little deterioration".Conclusions: The MCID for improvement in exercise capacity on the 6MWT was 14-15m in patients with HFrEF and iron deficiency. These MCIDs can aid clinical interpretation of study data. [ABSTRACT FROM AUTHOR]

Abstract Aims Epicardial adipose tissue (EAT) is increasingly recognized as an important factor in the pathophysiology of heart failure (HF). Cardiac magnetic resonance (CMR) imaging is the gold‐standard imaging modality to evaluate EAT size, but in contrast to echocardiography, CMR is costly and not widely available. We investigated EAT thickness on echocardiography in relation to EAT volume on CMR, and we assessed the agreement between observers for measuring echocardiographic EAT. Methods and results Patients with HF and left ventricular ejection fraction >40% were enrolled. All patients underwent CMR imaging and transthoracic‐echocardiography. EAT volume was quantified on CMR short‐axis cine‐stacks. Echocardiographic EAT thickness was measured on parasternal long‐axis and short‐axis views. Linear regression analyses were used to assess the association between EAT volume on CMR and EAT thickness on echocardiography. Intraclass correlation coefficient (ICC) was used to assess the interobserver agreement as well as the intraobserver agreement. EAT on CMR and echocardiography was evaluated in 117 patients (mean age 71 ± 10 years, 49% women and mean left ventricular ejection fraction 54 ± 7%). Mean EAT volume on CMR was 202 ± 64 mL and ranged from 80 to 373 mL. Mean EAT thickness on echocardiography was 3.8 ± 1.5 mm and ranged from 1.7 to 10.2 mm. EAT volume on CMR and EAT thickness on echocardiography were significantly correlated (junior‐observer: r = 0.62, P

Purpose: We quantify the association between visit adherence and visual acuity (VA) in retinal vein occlusions (CRVO)., Methods: The SCORE2 protocol included a visit every 4 weeks (every 28-35 days) during the first year. Visit adherence was measured as follows: number of missed visits, average and longest (avg and max days) visit interval, and average and longest (avg and max missed days) and unintended visit interval. Avg and max missed days were categorized as on time (0 days), late (>0-60 days), and very late (>60 days). The primary outcome was a change in the Early Treatment Diabetic Retinopathy Study (ETDRS) visual acuity letter score (VALS) between baseline study visit and last attended visit during Year 1, using multivariate linear regression models controlling for numerous demographic and clinical factors., Results: After adjustment, for each visit missed, patients lost 3.0 letters (95% CI: -6.2, 0.2) of vision ( p  = .07). On average, the 48 patients who missed at least 1 visit lost 9.4 letters (95% CI: -14.4, -4.3, p  < .001) of vision after adjustment. Average days and maximal intervals between visits were not associated with changes in VALS ( p  > .22) for both comparisons. However, when a visit was missed, the average missed days between missed visits and the max missed interval were both associated with loss of VALS (both variables: 0 days missed as reference, late [1-60 days] -10.8 letters [95% CI: -16.9, -4.7], very late [>60 days] -7.3 letters [95% CI: -14.5, -0.2]; p  = .003 for both)., Conclusions: Visit adherence is associated with VALS outcomes in CRVO patients.