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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.

PurposeTo investigate differences across the visual field (VF) in the rate of glaucomatous progression, the likelihood of defect in four disease severity cross-sections, and comparisons of subgroups in each of between 12 demographic, comorbid, and clinical variables.MethodsTwo long-term glaucoma clinical trials used Humphrey Field Analyzer 24-2 VFs to calculate pointwise deviations from age-matched normal controls. Slopes of glaucomatous progression over time were calculated per participant using linear mixed models. Pointwise differences between subgroups in slopes and cross-sectional categories were tested, adjusting for multiple comparisons using false discovery rate (FDR) and Q values.ResultsPointwise data were available for 1118 patients who had 15,073 VFs. On average, defects were seen at all VF points. Of the 12 variables, six had average pointwise slopes where Subgroup 1 had significantly faster progression than Subgroup 2 at all or many of the 52 VF points: participants who were older (≥65 vs. younger), 52/52; were male, 13/52; had diabetes, 29/52; had hypertension, 46/52; had a larger cup-to-disc ratio (≥0.7), 36/52; or had larger differences in absolute mean deviation (MD) between eyes (>3 dB), 52/52. Cross-sectional patterns at MD severity of -12 to -6.1 dB showed strong midline effects for gender and other patterns for hypertension, cup-to-disc ratio, absolute difference in MD between eyes, and disc notching.ConclusionsThe approach used provides new longitudinal and cross-sectional insights into variation across the VF associated with demographic, comorbid, and clinical variables.Translational relevanceThis exploration and characterization of variable effects in the setting of pointwise VF testing may enable clinicians to anticipate patterns of VF loss based on demographic, comorbid, and clinical associations.

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

BackgroundThe high rate of attrition along the care cascade of infection with human immunodeficiency virus (HIV) results in lost opportunities to provide timely antiretroviral therapy (ART) and to prevent unnecessarily high mortality. This study aims to assess the effectiveness of a structural intervention, the one-stop ("One4All") strategy that streamlines China's HIV care cascade with the intent to improve testing completeness, ART initiation, viral suppression, and mortality.MethodA two-arm, cluster-randomized controlled trial was implemented in twelve county hospitals in Guangxi China to test the effectiveness of the One4All strategy (intervention arm) compared to the current standard of care (SOC; control arm). The twelve study hospitals were selected for homogeneity and allocated one-to-one to the intervention and control arms. All patients screening HIV positive in study hospitals were enrolled. Target study enrollment was 180 participants per arm, 30 participants per hospital. Basic demographic information was collected as well as HIV risk behavior and route of infection. In intervention hospitals, patients then went on to receive point-of-care CD4 testing and in-parallel viral load (VL) testing whereas patients in control hospitals progressed through the usual SOC cascade. The primary outcome measure was testing completeness within 30 days of positive initial HIV screening result. Testing completeness was defined as receipt of all tests, test results, and post-test counseling. The secondary outcome measure was ART initiation (receipt of first ART prescriptions) within 90 days of positive initial HIV screening result. Tertiary outcome measures were viral suppression (≤200 copies/mL) and all-cause mortality at 12 months.DiscussionWe expect that this first-ever, cluster-randomized controlled trial of a bundle of interventions intended to streamline the HIV care cascade in China (the One4All strategy) will provide strong evidence for the benefit of accelerating diagnosis, thorough clinical assessment, and ART initiation via an optimized HIV care cascade. We furthermore anticipate that this evidence will be valuable to policymakers looking to elevate China's overall HIV/AIDS response to meet the UNAIDS 90-90-90 targets and the broader, global goal of eradication of the HIV/AIDS epidemic.Trial registrationClinicalTrials.gov # NCT02084316 . (Registered on March 7, 2014).

Abstract Aims Inflammation is thought to play a role in heart failure (HF) pathophysiology. Neutrophil‐to‐lymphocyte ratio (NLR) is a simple, routinely available measure of inflammation. Its relationship with other inflammatory biomarkers and its association with clinical outcomes in addition to other risk markers have not been comprehensively evaluated in HF patients. Methods We evaluated patients with worsening or new‐onset HF from the BIOlogy Study to Tailored Treatment in Chronic Heart Failure (BIOSTAT‐CHF) study who had available NLR at baseline. The primary outcome was time to all‐cause mortality or HF hospitalization. Outcomes were validated in a separate HF population. Results 1622 patients were evaluated (including 523 ventricular ejection fraction [LVEF]

Abstract Background Muscle wasting and unintentional weight loss (cachexia) have been associated with worse outcomes in heart failure (HF), but timely identification of these adverse phenomena is difficult. Spot urinary creatinine may be an easily accessible marker to assess muscle loss and cachexia. This study investigated the association of urinary creatinine with body composition changes and outcomes in patients with new‐onset or worsening HF (WHF). Methods In BIOSTAT‐CHF, baseline spot urinary creatinine measurements were available in 2315 patients with new‐onset or WHF in an international cohort (index cohort) and a validation cohort of 1431 similar patients from Scotland. Results Median spot urinary creatinine concentrations were 5.2 [2.7–9.6] mmol/L in the index cohort. Median age was 69 ± 12 years and 73% were men. Lower spot urinary creatinine was associated with older age, lower height and weight, worse renal function, more severe HF, and a higher risk of >5% weight loss from baseline to 9 months (odds ratio = 1.23, 95% CI = 1.09–1.39 per log decrease; P = 0.001). Spot urinary creatinine was associated with Evans criteria of cachexia (OR = 1.26 per log decrease, 95% CI = 1.04–1.49; P = 0.016) and clustered with markers of heart failure severity in hierarchical cluster analyses. Lower urinary creatinine was associated with poorer exercise capacity and quality of life (both P

ObjectivesTo establish a prescription opioid registry protocol in a large health system and to describe algorithms to characterize individuals using prescription opioids, opioid use episodes, and concurrent use of sedative/hypnotics.Study designProtocol development and retrospective cohort study.MethodsUsing Kaiser Permanente Northern California (KPNC) electronic health record data, we selected patients using prescription opioids in 2011. Opioid and sedative/hypnotic fills, and physical and psychiatric comorbidity diagnoses, were extracted for years 2008 to 2014. Algorithms were developed to identify each patient's daily opioid and sedative/hypnotic use, and morphine daily-dose equivalent. Opioid episodes were classified as long-term, episodic, or acute. Logistic regression was used to predict characteristics associated with becoming a long-term opioid user.ResultsIn 2011, 18% of KPNC adult members filled at least 1 opioid prescription. Among those patients, 25% used opioids long term and their average duration of use was more than 4 years. Sedative/hypnotics were used by 76% of long-term users. Being older, white, living in a more deprived neighborhood, having a chronic pain diagnosis, and use of sedative/hypnotics were predictors of initiating long-term opioid use.ConclusionsThis study established a population-based opioid registry that is flexible and can be used to address important questions of prescription opioid use. It will be used in future studies to answer a broad range of other critical public health issues relating to prescription opioid use.

PurposeTo describe the design and baseline characteristics of participants in the Study of COmparative Treatments for REtinal Vein Occlusion 2 (SCORE2) and to compare with cohorts from other retinal vein occlusion trials.DesignPhase III prospective, multicenter, randomized clinical trial designed to assess whether intravitreal bevacizumab is noninferior to intravitreal aflibercept for treatment of decreased vision attributable to macular edema associated with central retinal vein occlusion (CRVO) or hemiretinal vein occlusion (HRVO).ParticipantsTotal of 362 participants: 307 with CRVO and 55 with HRVO.MethodsDemographic and study eye characteristics are summarized and compared between CRVO and HRVO study participants.Main outcome measuresBaseline ophthalmic characteristics, including visual acuity and retinal thickness, and medical history characteristics, including hypertension, diabetes mellitus, and coronary artery disease.ResultsThe mean age of participants was 69 years, 76% of participants were white, and 90% were non-Hispanic. There was a racial disparity with respect to disease type, with 38% of HRVO patients being black compared with 11% of CRVO patients (P value adjusted for multiple testing = 0.0001). This is similar to findings from the previous SCORE Study. Comorbidities included hypertension (77%), diabetes mellitus (31%), and coronary artery disease (15%). At baseline, mean visual acuity letter score was 50 (20/100) (range, 19-73 [20/400 to 20/40]), mean optical coherence tomography (OCT)-measured central subfield thickness was 678 μm (range, 300-1203 μm), and mean number of months from diagnosis of macular edema to randomization was 6 (range, 0-104 months). One hundred twenty (33%) SCORE2 participants had been treated previously with anti-vascular endothelial growth factor (anti-VEGF) therapy, with these participants having baseline visual acuity letter score and OCT-measured central subfield thickness similar to those without prior anti-VEGF treatment, but longer mean duration of macular edema before randomization (18 months vs. 1 month for those without prior anti-VEGF treatment; P < 0.0001).ConclusionsThe SCORE2 cohort is a heterogeneous population, including both CRVO and HRVO eyes and both treatment-naïve eyes and eyes treated previously with anti-VEGF, which will allow study results to have broad applicability to CRVO and HRVO patients receiving treatment for macular edema. Similarities of the baseline characteristics of the SCORE2 population to other CRVO trial cohorts will allow meaningful comparisons of outcome results across trials.

ImportanceSubstance use is a major driver of the HIV epidemic and is associated with poor HIV care outcomes. Patient navigation (care coordination with case management) and the use of financial incentives for achieving predetermined outcomes are interventions increasingly promoted to engage patients in substance use disorders treatment and HIV care, but there is little evidence for their efficacy in improving HIV-1 viral suppression rates.ObjectiveTo assess the effect of a structured patient navigation intervention with or without financial incentives to improve HIV-1 viral suppression rates among patients with elevated HIV-1 viral loads and substance use recruited as hospital inpatients.Design, setting, and participantsFrom July 2012 through January 2014, 801 patients with HIV infection and substance use from 11 hospitals across the United States were randomly assigned to receive patient navigation alone (n = 266), patient navigation plus financial incentives (n = 271), or treatment as usual (n = 264). HIV-1 plasma viral load was measured at baseline and at 6 and 12 months.InterventionsPatient navigation included up to 11 sessions of care coordination with case management and motivational interviewing techniques over 6 months. Financial incentives (up to $1160) were provided for achieving targeted behaviors aimed at reducing substance use, increasing engagement in HIV care, and improving HIV outcomes. Treatment as usual was the standard practice at each hospital for linking hospitalized patients to outpatient HIV care and substance use disorders treatment.Main outcomes and measuresThe primary outcome was HIV viral suppression (≤200 copies/mL) relative to viral nonsuppression or death at the 12-month follow-up.ResultsOf 801 patients randomized, 261 (32.6%) were women (mean [SD] age, 44.6 years [10.0 years]). There were no differences in rates of HIV viral suppression versus nonsuppression or death among the 3 groups at 12 months. Eighty-five of 249 patients (34.1%) in the usual-treatment group experienced treatment success compared with 89 of 249 patients (35.7%) in the navigation-only group for a treatment difference of 1.6% (95% CI, -6.8% to 10.0%; P = .80) and compared with 98 of 254 patients (38.6%) in the navigation-plus-incentives group for a treatment difference of 4.5% (95% CI -4.0% to 12.8%; P = .68). The treatment difference between the navigation-only and the navigation-plus-incentives group was -2.8% (95% CI, -11.3% to 5.6%; P = .68).Conclusions and relevanceAmong hospitalized patients with HIV infection and substance use, patient navigation with or without financial incentives did not have a beneficial effect on HIV viral suppression relative to nonsuppression or death at 12 months vs treatment as usual. These findings do not support these interventions in this setting.Trial registrationclinicaltrials.gov Identifier: NCT01612169.

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]

• BMI affects the value of biomarkers and their clinical interpretation in AHF. • In obese BMI, low BNP does not suggest low risk for adverse events. • Hs-cTn predicted poor prognosis without being influenced by BMI. 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). 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. 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. [Display omitted] [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

Abstract Aims Activation of the renin–angiotensin–aldosterone system plays an important role in the pathophysiology of heart failure (HF) and has been associated with poor prognosis. There are limited data on the associations of renin and aldosterone levels with clinical profiles, treatment response, and study outcomes in patients with HF. Methods and results We analysed 2,039 patients with available baseline renin and aldosterone levels in BIOSTAT‐CHF (a systems BIOlogy study to Tailored Treatment in Chronic Heart Failure). The primary outcome was the composite of all‐cause mortality or HF hospitalization. We also investigated changes in renin and aldosterone levels after administration of mineralocorticoid receptor antagonists (MRAs) in a subset of the EPHESUS trial and in an acute HF cohort (PORTO). In BIOSTAT‐CHF study, median renin and aldosterone levels were 85.3 (percentile25–75 = 28–247) μIU/mL and 9.4 (percentile25–75 = 4.4–19.8) ng/dL, respectively. Prior HF admission, lower blood pressure, sodium, poorer renal function, and MRA treatment were associated with higher renin and aldosterone. Higher renin was associated with an increased rate of the primary outcome [highest vs. lowest renin tertile: adjusted‐HR (95% CI) = 1.47 (1.16–1.86), P = 0.002], whereas higher aldosterone was not [highest vs. lowest aldosterone tertile: adjusted‐HR (95% CI) = 1.16 (0.93–1.44), P = 0.19]. Renin and/or aldosterone did not improve the BIOSTAT‐CHF prognostic models. The rise in aldosterone with the use of MRAs was observed in EPHESUS and PORTO studies. Conclusions Circulating levels of renin and aldosterone were associated with both the disease severity and use of MRAs. By reflecting both the disease and its treatments, the prognostic discrimination of these biomarkers was poor. Our data suggest that the “point” measurement of renin and aldosterone in HF is of limited clinical utility.

Abstract Background Patients with opioid use disorder (OUD) frequently present to the emergency department (ED) after overdose, or seeking treatment for general medical conditions, their addiction, withdrawal symptoms, or complications of injection drug use, such as soft tissue infections. ED-initiated buprenorphine has been shown to be effective in increasing patient engagement in treatment compared with brief intervention with a facilitated referral or referral alone. However, adoption into practice has lagged behind need. To address this implementation challenge, we are evaluating the impact of implementation facilitation (IF) on the adoption of ED-initiated buprenorphine for OUD into practice. Methods This protocol describes a study that is being conducted through the National Institute on Drug Abuse’s Center for the Clinical Trials Network. A hybrid type III effectiveness-implementation study design is used to evaluate the effectiveness of a standard educational dissemination strategy versus IF on implementation (primary) and effectiveness (secondary) outcomes in four urban, academic EDs. Sites start with a standard 60-min “Grand Rounds” educational intervention describing the prevalence of ED patients with OUD, the evidence for opioid agonist treatment and for innovative interventions with ED-initiated buprenorphine; followed by a 1-year baseline evaluation period. Using a modified stepped wedge design, sites are randomly assigned to the IF intervention which is guided by the Promoting Action on Research Implementation in Health Services (PARiHS) framework to assess evidence, context, and facilitation-related factors impacting the adoption of ED-initiated buprenorphine. During the 6 months of IF through the 1-year IF evaluation period, external facilitators work with local stakeholders to tailor and refine a bundle of activities to meet the site’s needs. The primary analyses compare the baseline evaluation period to the IF evaluation period (n = 120 patients with untreated OUD enrolled during each period) on (1) rates of provision of ED-initiated buprenorphine by ED providers with referral for ongoing medication (implementation outcome) and (2) rates of patient engagement in addiction treatment on the 30th day after the ED visit (effectiveness outcome). Finally, we will perform a cost-effectiveness analysis (CEA) to determine if the effectiveness benefits are worth the additional costs. Discussion Results will generate novel information regarding the impact of IF as a strategy to promote ED-initiated buprenorphine. Trial registration ClinicalTrials.gov NCT03023930 first posted 1/10/2017, https://clinicaltrials.gov/ct2/show/NCT03023930?term=0069&rank=1

Abstract Background The high rate of attrition along the care cascade of infection with human immunodeficiency virus (HIV) results in lost opportunities to provide timely antiretroviral therapy (ART) and to prevent unnecessarily high mortality. This study aims to assess the effectiveness of a structural intervention, the one-stop (“One4All”) strategy that streamlines China’s HIV care cascade with the intent to improve testing completeness, ART initiation, viral suppression, and mortality. Method A two-arm, cluster-randomized controlled trial was implemented in twelve county hospitals in Guangxi China to test the effectiveness of the One4All strategy (intervention arm) compared to the current standard of care (SOC; control arm). The twelve study hospitals were selected for homogeneity and allocated one-to-one to the intervention and control arms. All patients screening HIV positive in study hospitals were enrolled. Target study enrollment was 180 participants per arm, 30 participants per hospital. Basic demographic information was collected as well as HIV risk behavior and route of infection. In intervention hospitals, patients then went on to receive point-of-care CD4 testing and in-parallel viral load (VL) testing whereas patients in control hospitals progressed through the usual SOC cascade. The primary outcome measure was testing completeness within 30 days of positive initial HIV screening result. Testing completeness was defined as receipt of all tests, test results, and post-test counseling. The secondary outcome measure was ART initiation (receipt of first ART prescriptions) within 90 days of positive initial HIV screening result. Tertiary outcome measures were viral suppression (≤200 copies/mL) and all-cause mortality at 12 months. Discussion We expect that this first-ever, cluster-randomized controlled trial of a bundle of interventions intended to streamline the HIV care cascade in China (the One4All strategy) will provide strong evidence for the benefit of accelerating diagnosis, thorough clinical assessment, and ART initiation via an optimized HIV care cascade. We furthermore anticipate that this evidence will be valuable to policymakers looking to elevate China’s overall HIV/AIDS response to meet the UNAIDS 90-90-90 targets and the broader, global goal of eradication of the HIV/AIDS epidemic. Trial registration ClinicalTrials.gov # NCT02084316 . (Registered on March 7, 2014)

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.

Purpose: To evaluate the association between ellipsoid zone (EZ) on spectral domain optical coherence tomography (SD-OCT) and visual acuity letter score (VALS) in participants with retinal vein occlusion in the Study of Comparative Treatments for Retinal Vein Occlusion 2., Methods: SD-OCT scans of 362 participants were qualitatively assessed at baseline and months 1, 6, 12, and 24 for EZ status as normal, patchy, or absent. The thickness of EZ layer in the central subfield was also obtained using machine learning., Results: EZ assessments were not possible at baseline due to signal blockage in >75% of eyes. At month 1, EZ was normal in 37.6%, patchy in 48.1%, and absent in 14.3%. EZ was measurable in 48.7% with a mean area of 0.07 ± 0.16 mm2. Mean VALS was better in eyes without an EZ defect compared to eyes with an EZ defect (P < 0.0001 at all visits). EZ defect at month 1 was associated with poorer VALS at all follow-up visits (P < 0.0001)., Conclusions: Both qualitative and quantitative assessments of EZ status strongly correlated with VALS. Absence of EZ was associated with poorer VALS at both corresponding and future visits, with larger areas of EZ loss associated with worse VALS., Translational Relevance: Assessment of EZ can be used to identify patients with potentially poor response in eyes with retinal vein occlusion.

Aim: To investigate associations between substance dependence and obesity., Methods: Obesity (body mass index ≥ 30 kg/m 2 ) status and the status of dependence on heroin, stimulant, marijuana, nicotine and alcohol (past-month status for nicotine and past-year status for all others) were identified from the U.S. National Survey on Drug Use and Health (NSDUH, 2015-2017) datasets. SAS Surveylogistic regression was used to estimate adjusted odds ratio (AOR) for the association between each substance dependence and obesity, adjusting for potentially confounding effects of sociodemographic factors and health condition., Results: It was estimated that 10.6 % of noninstitutional U.S. residents aged 12 years or older were nicotine-dependent, 3.0 % alcohol-dependent, 1.0 % marijuana-dependent, 0.6 % stimulant-dependent, and 0.2 % heroin-dependent. Heroin-dependent individuals had 59 % lower odds of obesity relative to their non-dependent counterparts (AOR = 0.41; 95 % CI: 0.28-0.60; p < 0.0001). Lower odds of obesity were also noted for marijuana-dependent (AOR = 0.64; 95 % CI: 0.56-0.73; p < 0.0001), nicotine-dependent (AOR = 0.68; 95 % CI: 0.64-0.72; p < 0.0001) and alcohol-dependent (AOR = 0.77, 95 % CI: 0.69-0.84; p < 0.0001) individuals, but not statistically significant for stimulant-dependent individuals (AOR = 0.84; 95 % CI: 0.68-1.02; p = 0.0825)., Conclusions: Heroin, marijuana, nicotine and alcohol dependence were associated with lower odds of obesity than their non-dependence counterparts. Main findings based on 2015-2017 NSDUH are consistent with findings from our prior report based on clinical trials data from National Institute on Drug Abuse Clinical Trials Network, and other epidemiological evidence in the literature. These findings can alert substance abuse treatment professionals to monitor weight change, especially among weight-concerned substance abusers., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Patients with opioid use disorder (OUD) frequently present to the emergency department (ED) after overdose, or seeking treatment for general medical conditions, their addiction, withdrawal symptoms, or complications of injection drug use, such as soft tissue infections. ED-initiated buprenorphine has been shown to be effective in increasing patient engagement in treatment compared with brief intervention with a facilitated referral or referral alone. However, adoption into practice has lagged behind need. To address this implementation challenge, we are evaluating the impact of implementation facilitation (IF) on the adoption of ED-initiated buprenorphine for OUD into practice., Methods: This protocol describes a study that is being conducted through the National Institute on Drug Abuse's Center for the Clinical Trials Network. A hybrid type III effectiveness-implementation study design is used to evaluate the effectiveness of a standard educational dissemination strategy versus IF on implementation (primary) and effectiveness (secondary) outcomes in four urban, academic EDs. Sites start with a standard 60-min "Grand Rounds" educational intervention describing the prevalence of ED patients with OUD, the evidence for opioid agonist treatment and for innovative interventions with ED-initiated buprenorphine; followed by a 1-year baseline evaluation period. Using a modified stepped wedge design, sites are randomly assigned to the IF intervention which is guided by the Promoting Action on Research Implementation in Health Services (PARiHS) framework to assess evidence, context, and facilitation-related factors impacting the adoption of ED-initiated buprenorphine. During the 6 months of IF through the 1-year IF evaluation period, external facilitators work with local stakeholders to tailor and refine a bundle of activities to meet the site's needs. The primary analyses compare the baseline evaluation period to the IF evaluation period (n = 120 patients with untreated OUD enrolled during each period) on (1) rates of provision of ED-initiated buprenorphine by ED providers with referral for ongoing medication (implementation outcome) and (2) rates of patient engagement in addiction treatment on the 30th day after the ED visit (effectiveness outcome). Finally, we will perform a cost-effectiveness analysis (CEA) to determine if the effectiveness benefits are worth the additional costs., Discussion: Results will generate novel information regarding the impact of IF as a strategy to promote ED-initiated buprenorphine., Trial Registration: ClinicalTrials.gov NCT03023930 first posted 1/10/2017, https://clinicaltrials.gov/ct2/show/NCT03023930?term=0069&rank=1.

Aims: To estimate obesity prevalence among drug-dependent individuals and to compare prevalence across different types of drug dependence., Methods: 1596 opioid- and/or stimulant-dependent participants were extracted from six clinical trials within the National Drug Abuse Treatment Clinical Trials Network of the National Institute on Drug Abuse (NIDA CTN) to estimate obesity prevalence among drug-dependent users. Age-, sex-, and race-matched National Health and Nutrition Examination Survey (NHANES) samples were used as a general population reference. Standardized prevalence ratios (SPRs) were calculated to compare the CTN sample to NHANES as well as to compare within the CTN sample. Logistic regression estimated associations between the type of drug dependence and obesity., Results: The standardized obesity prevalence among the drug-dependent CTN trial participants was 67% of expected for age-, sex- and race-matched NIHANES participants (SPR = 0.67, 95% CI: 0.60-0.74). Obesity was least prevalent among opioid-dependent-only participants (SPR = 0.36, 95% CI: 0.27-0.46 compared to the NHANES, and SPR = 0.33, 95% CI: 0.23-0.46 compared to the stimulant-dependent-only participants). Compared to stimulant-dependent-only users (p < 0.0001), the odds of obesity were 67% lower among opioid-dependent-only users (adjusted odds ratio [AOR] = 0.33, 95% CI: 0.23-0.46) and 33% lower among opioid and stimulant-co-dependent users (AOR = 0.67, 95%CI: 0.49-0.90) after controlling for age, sex, race, education and employment pattern., Conclusions: The prevalence of obesity among drug-dependent clinical trial participants was lower than the general population, and lowest among opioid-dependent-only users, suggesting an inverse relationship between obesity prevalence and drug dependence, most notable among opioid-dependent-only users., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Strategies are needed to identify at-risk patients for adverse events associated with prescription opioids. This study identified prescription opioid misuse in an integrated health system using electronic health record (EHR) data, and examined predictors of misuse and overdose. The sample included patients from an EHR-based registry of adults who used prescription opioids in 2011 in Kaiser Permanente Northern California, a large integrated health care system. We characterized time-at-risk for opioid misuse and overdose, and used Cox proportional hazard models to model predictors of these events from 2011 to 2014. Among 396,452 patients, 2.7% were identified with opioid misuse and 1044 had an overdose event. Older patients were less likely to meet misuse criteria or have an overdose. Whites were more likely to be identified with misuse, but not to have an overdose. Alcohol and drug disorders were related to higher risk of misuse and overdose, with the exception that marijuana disorder was not related to opioid misuse. Higher daily opioid dosages and benzodiazepine use increased the risk of both opioid misuse and overdose. We characterized several risk factors associated with misuse and overdose using EHR-based data, which can be leveraged relatively quickly to inform preventive strategies to address the opioid crisis., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: There are limited data about the extent of DSM-5 substance use disorders (SUDs) among primary care patients., Methods: This study analyzed data from a multisite validation study of a substance use screening instrument conducted in a diverse sample of 2000 adults aged ≥18 years recruited from five primary care practices in four states. Prevalence and correlates of 12-month DSM-5 SUDs were examined., Results: Overall, 75.5% of the sample used any substance, including alcohol (62.0%), tobacco (44.1%), or illicit drugs/nonmedical medications (27.9%) in the past 12 months (marijuana 20.8%, cocaine 7.3%, opioids 4.8%, sedatives 4.1%, heroin 3.9%). The prevalence of any 12-month SUD was 36.0% (mild disorder 14.2%, moderate/severe disorder 21.8%): tobacco 25.3% (mild 11.5%, moderate/severe 13.8%); alcohol 13.9% (mild 6.9%, moderate/severe 7.0%); and any illicit/nonmedical drug 14.0% (mild 4.0%, moderate/severe 10.0%). Among past 12-month users, a high proportion of tobacco or drug users met criteria for a disorder: tobacco use disorder 57.4% (26.1% mild, 31.3% moderate/severe) and any drug use disorder 50.2% (14.3% mild, 35.8% moderate/severe); a lower proportion of alcohol users (22.4%) met criteria for alcohol use disorder (11.1% mild, 11.3% moderate/severe). Over 80% of adults with opioid/heroin use disorder met criteria for a moderate/severe disorder. Younger ages, male sex, and low education were associated with increased odds of having SUD., Conclusion: These findings reveal the high prevalence of SUDs in primary care and underscore the need to identify and address them., (Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: Most substance use disorders (SUD) treatment clinical trials are too short and small to reliably estimate the incidence of rare events like death., Objective: The aim of this study is to estimate the overall mortality rates among a SUD treatment-seeking population by pooling participants from multiple clinical trials conducted through the National Institute on Drug Abuse (NIDA)-sponsored National Drug Abuse Treatment Clinical Trials Network (CTN)., Participants: Drug and or alcohol users (N=9866) who sought treatment and participated in one of the twenty-two CTN trials., Measurements: Data were collected through randomized clinical trials in national community treatment programs for SUD. Pooled analysis was performed to assess age- and gender-standardized mortality rate(s) (SM rate(s)), and mortality ratio(s) (SM ratio(s)) of CTN trial participants compared to the U.S. general population., Results: The age- and gender-SM rate among CTN trials participants was 1403 (95% CI: 862-2074) per 100,000 person years (PY) compared to 542 (95% CI: 541-543) per 100,000 PY among the U.S. general population in 2005. By gender, age-adjusted SM ratio for female CTN trial participants was over five times (SM ratio=5.35, 95% CI: 3.31-8.19)), and for male CTN trial participants, it was over three times (SM ratio=3.39, 95% CI: 2.25-4.90) higher than their gender comparable peers in the U.S. general population., Conclusions: Age and gender-standardized mortality rates and ratios among NIDA CTN SUD treatment-seeking clinical trial participants are higher than the age and gender comparable U.S. general population. The overall mortality rates of CTN trial participants are similar to in-treatment mortality reported in large U.S. and non-U.S. cohorts of opioid users. Future analysis with additional CTN trial participants and risk times will improve the stability of estimates, especially within subgroups based on primary substance of abuse. These SUD mortality rates can be used to facilitate safety monitoring within SUD clinical trials., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: Substance use and its associated use disorders are under-detected and under-treated in primary care. There is a need for a clinically useful brief screening and assessment instrument to identify primary care patients with substance use, sub-threshold substance use disorder (SUD), and SUD to facilitate brief intervention and treatment., Methods: We describe the design of the recently completed National Drug Abuse Treatment Clinical Trials Network's tobacco, alcohol, prescription medications, and substance use/misuse screen and brief assessment tool validation study. Study aims included to: develop a 2-stage screening and brief assessment tool (TAPS Tool) to detect substance use, problem use, and SUD among adult primary care patients; examine the validity of both the screen component and the TAPS Tool by comparing them to reference standard screening and assessment measures of no use, problem use, and SUD; and determine the feasibility and acceptability of the self-administration and interviewer-administration of the tool. The design included a pilot testing phase (n=30) and the main study of 2000 adult primary care participants who were randomly assigned in counter-balanced order to have the interviewer-administration or the self-administration of the TAPS Tool followed by the other administration format. Participants' views of feasibility, acceptability and preference for format of self-administration versus interviewer-administration of the TAPS Tool were assessed. Criterion measures of use and DSM-5 SUDs were administered., Discussion: The TAPS Tool study builds on prior work to develop a 2-stage clinical tool for facilitating the adoption of screening, brief assessment and treatment for SUDs in primary care., Competing Interests: The authors have no financial relationships relevant to this article to disclose. The authors have no conflicts of interest to disclose., (Copyright © 2016 Elsevier Inc. All rights reserved.)

Background: The Affordable Care Act encourages healthcare systems to integrate behavioral and medical healthcare, as well as to employ electronic health records (EHRs) for health information exchange and quality improvement. Pragmatic research paradigms that employ EHRs in research are needed to produce clinical evidence in real-world medical settings for informing learning healthcare systems. Adults with comorbid diabetes and substance use disorders (SUDs) tend to use costly inpatient treatments; however, there is a lack of empirical data on implementing behavioral healthcare to reduce health risk in adults with high-risk diabetes. Given the complexity of high-risk patients' medical problems and the cost of conducting randomized trials, a feasibility project is warranted to guide practical study designs., Methods: We describe the study design, which explores the feasibility of implementing substance use Screening, Brief Intervention, and Referral to Treatment (SBIRT) among adults with high-risk type 2 diabetes mellitus (T2DM) within a home-based primary care setting. Our study includes the development of an integrated EHR datamart to identify eligible patients and collect diabetes healthcare data, and the use of a geographic health information system to understand the social context in patients' communities. Analysis will examine recruitment, proportion of patients receiving brief intervention and/or referrals, substance use, SUD treatment use, diabetes outcomes, and retention., Discussion: By capitalizing on an existing T2DM project that uses home-based primary care, our study results will provide timely clinical information to inform the designs and implementation of future SBIRT studies among adults with multiple medical conditions., (Copyright © 2015 The Authors. Published by Elsevier Inc. All rights reserved.)