Development of a Predictive Model for Emergency Department Utilization and Unanticipated Hospital Admission in Patients Receiving Cancer Treatment for Solid Tumor Malignancies.

PURPOSE: Unanticipated health care resource utilization, in the form of either emergency department utilization (EDU) or hospital admission (HA), may be an indicator of lower-quality cancer care. The objective of this study was to develop a predictive model for EDU and HAs within 14 days of receipt of systemic therapy for patients with solid tumors. METHODS: We abstracted electronic health data on oncology encounters from all patients receiving systemic therapy for solid tumors from March 1, 2015, to August 21, 2020, in the Duke University Health System. We defined a primary composite outcome of an EDU or HA within 14 days after the encounter and then developed a predictive model for the primary outcome using least absolute shrinkage and selection operator regression. To evaluate the model, we calculated the area under the receiver operator curve and the calibration slope. RESULTS: Twelve thousand eight hundred ninety unique patients with 134,641 oncology encounters were included. Five thousand one hundred fifty of these patients (40.0%) had at least one EDU or HA within 14 days of at least one treatment. Forty-six variables were incorporated into the final model. The top predictors, in order of absolute value of the predictive coefficients, were temperature, systolic blood pressure, cancer group, and marital status. The model's AUC was 0.73 (95% CI, 0.722 to 0.732), indicating good sensitivity and specificity to outcome. CONCLUSION: The model developed in this study demonstrated good sensitivity in identifying patients with solid tumors who are at highest risk for EDU or HA and could be implemented in clinical practice to allow for preventive outpatient interventions.

Eligibility and Projected Benefits of Rapid Initiation of Quadruple Therapy for Newly Diagnosed Heart Failure.

BACKGROUND: U.S. nationwide estimates of the proportion of patients newly diagnosed with heart failure with reduced ejection fraction (HFrEF) eligible for quadruple medical therapy, and the associated benefits of rapid implementation, are not well characterized. OBJECTIVES: This study sought to characterize the degree to which patients newly diagnosed with HFrEF are eligible for quadruple medical therapy, and the projected benefits of in-hospital initiation. METHODS: Among patients hospitalized for newly diagnosed HFrEF in the Get With The Guidelines-Heart Failure registry from 2016 to 2023, eligibility criteria based on regulatory labeling, guidelines, and expert consensus documents were applied for angiotensin receptor-neprilysin inhibitor, beta-blocker, mineralocorticoid receptor antagonist, and sodium-glucose cotransporter 2 inhibitor therapies. Of those eligible, the projected effect of quadruple therapy on 12-month mortality was modeled using treatment effects from pivotal clinical trials utilized by the AHA/ACC/HFSA Guideline for the Management of Heart Failure, and compared with observed outcomes among patients treated with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blockers. RESULTS: Of 33,036 patients newly diagnosed with HFrEF, 27,158 (82%) were eligible for quadruple therapy, and 30,613 (93%) were eligible for ≥3 components. From 2021 to 2023, of patients eligible for quadruple therapy, 15.3% were prescribed quadruple therapy and 41.5% were prescribed triple therapy. Among Medicare beneficiaries eligible for quadruple therapy, 12-month incidence of mortality was 24.7% and HF hospitalization was 22.2%. Applying the relative risk reductions in clinical trials, complete implementation of quadruple therapy by time of discharge was projected to yield absolute risk reductions in 12-month mortality of 10.4% (number needed to treat = 10) compared with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blocker, and 24.8% (number needed to treat = 4) compared with no GDMT. CONCLUSIONS: In this nationwide U.S. cohort of patients hospitalized for newly diagnosed HFrEF, >4 of 5 patients were projected as eligible for quadruple therapy at discharge; yet, <1 in 6 were prescribed it. If clinical trial benefits can be fully realized, in-hospital initiation of quadruple medical therapy for newly diagnosed HFrEF would yield large absolute reductions in mortality.

Recruiting a Diverse Cardiology Physician Workforce.

Importance: Understanding trends in the representation of women and individuals from underrepresented racial and ethnic populations in cardiovascular disease and cardiovascular subspecialty fellowships is essential to improving the diversity of the cardiology workforce. Objective: To examine changes in the representation of women and underrepresented individuals in cardiovascular disease and cardiovascular subspecialty fellowships over time. Design, Setting, and Participants: This cross-sectional study of trainee sex and race and ethnicity in various training programs from 2008 to 2022 used data from the Accreditation Council for Graduate Medical Education's publicly available online source. Participants included all residents, internal medicine residents, general surgery residents, and fellows in cardiovascular disease and cardiovascular subspecialty fellowships. Main Outcomes and Measures: Percentages of women and Black and Hispanic trainees in these programs were calculated for each year. Mann-Kendall tests were used to determine if changes over the years represented a significant trend. Results: Among the 3320 cardiovascular disease trainees in 2022, 848 (25.5%) were women, and 459 (13.8%) were Black or Hispanic, less than the representation among internal medicine trainees at 43.8% and 15.6%, respectively. However, the percentage of women trainees in cardiovascular disease significantly increased from 17.6% in 2008 (P = .001 for time trend) and also increased for interventional cardiology fellowships (from 6.3% in 2008 to 20.1% in 2022; P = .002). Over the same period, the proportion of women in general surgery increased from 27.4% to 45.2% (P < .001). The percentage of Black and Hispanic trainees in internal medicine significantly increased from 8.6% in 2012 (P < .001) while increases in general surgery were not statistically significant (9.7% to 16.1%; P = .35). There were also important increases in the percentages of Black and Hispanic trainees in cardiovascular disease (from 8.3% in 2012; P = .09) and interventional cardiology (3.8% to 13.4%; P = .12). Conclusions and Relevance: In this study, the representation of women in cardiovascular fellowships, including interventional cardiology, increased over recent years. While representation of Black and Hispanic individuals is low in all residencies, including cardiovascular fellowships, recent positive trends are important to recognize and provide hope to drive future efforts.

Applicability of Vericiguat to Patients Hospitalized for Heart Failure in the United States.

BACKGROUND: In January 2021, vericiguat, a soluble guanylate cyclase stimulator, was approved by the U.S. Food and Drug Administration (FDA) to reduce the risk of cardiovascular death and heart failure (HF) hospitalization among patients with a recent worsening HF event based on the VICTORIA (VerICiguaT Global Study in Subjects with Heart Failure with Reduced Ejection Fraction) trial. OBJECTIVES: This study sought to leverage a contemporary U.S. registry of patients hospitalized for heart failure (HF) to characterize patients who may be candidates for vericiguat based on FDA label and the VICTORIA trial eligibility criteria. METHODS: The authors studied patients hospitalized for HF with ejection fraction (EF) <45% across 525 sites in the GWTG-HF (Get With The Guidelines-Heart Failure) registry between January 2014 and December 2020. Approximate FDA label criteria (excluding estimated glomerular filtration rate [eGFR] <15 mL/min/1.73 m2, dialysis, or patients with heart transplantation or durable mechanical circulatory support) and eligibility criteria for the VICTORIA trial were applied to the GWTG-HF cohort. RESULTS: Among 241,057 patients with EF <45% in the GWTG-HF registry, 221,730 (92%) could be candidates for vericiguat under the FDA label and 92,249 (38%) would have been eligible for the VICTORIA trial. The most frequent reasons for ineligibility for the FDA label were eGFR <15 mL/min/1.73 m2 (5.7%) and dialysis (1.6%). Although there were greater proportions of women and Black patients in the GWTG-HF registry, most clinical characteristics were qualitatively similar with patients enrolled in the VICTORIA trial. Among Medicare beneficiaries in the GWTG-HF registry eligible for vericiguat by either FDA label or VICTORIA trial criteria, 12-month postdischarge rates of mortality (36%-37%), HF hospitalization (33%-35%), all-cause hospitalization (64%-66%), and mean health care expenditure (U.S. $25,106-$25,428) were high. CONCLUSIONS: Data from a large, contemporary U.S. registry of patients actively hospitalized for HF with EF <45% suggest that approximately 4 in 10 patients meet the criteria of the VICTORIA trial and that more than 9 in 10 patients are potential candidates for vericiguat based on the FDA label. Contemporary Medicare beneficiaries hospitalized for HF with EF <45% and eligible for vericiguat face high rates of postdischarge mortality and readmission and accrue substantial health care costs.

Machine learning to define phenotypes and outcomes of patients hospitalized for heart failure with preserved ejection fraction: Findings from ASCEND-HF.

BACKGROUND: Heart Failure with Preserved Ejection Fraction (HFpEF) is a heterogenous disease with few therapies proven to provide clinical benefit. Machine learning can characterize distinct phenotypes and compare outcomes among patients with HFpEF who are hospitalized for acute HF. METHODS: We applied hierarchical clustering using demographics, comorbidities, and clinical data on admission to identify distinct clusters in hospitalized HFpEF (ejection fraction >40%) in the ASCEND-HF trial. We separately applied a previously developed latent class analysis (LCA) clustering method and compared in-hospital and long-term outcomes across cluster groups. RESULTS: Of 7141 patients enrolled in the ASCEND-HF trial, 812 (11.4%) were hospitalized for HFpEF and met the criteria for complete case analysis. Hierarchical Cluster 1 included older women with atrial fibrillation (AF). Cluster 2 had elevated resting blood pressure. Cluster 3 had young men with obesity and diabetes. Cluster 4 had low resting blood pressure. Mortality at 180 days was lowest among Cluster 3 (KM event-rate 6.2 [95% CI: 3.5, 10.9]) and highest among Cluster 4 (18.8 [14.6, 24.0], P < .001). Twenty four-hour urine output was higher in Cluster 3 (2700 mL [1800, 3975]) than Cluster 4 (2100 mL [1400, 3055], P < .001). LCA also identified four clusters: A) older White or Asian women, B) younger men with few comorbidities, C) older individuals with AF and renal impairment, and D) patients with obesity and diabetes. Mortality at 180 days was lowest among LCA Cluster B (KM event-rate 5.5 [2.0, 10.3]) and highest among LCA Cluster C (26.3 [19.2, 35.4], P < .001). CONCLUSIONS: In patients hospitalized for HFpEF, cluster analysis demonstrated distinct phenotypes with differing clinical profiles and outcomes.

Risk of obstetric anal sphincter injuries at the time of admission for delivery: A clinical prediction model.

OBJECTIVE: To develop and validate a model to predict obstetric anal sphincter injuries (OASIS) using only information available at the time of admission for labour. DESIGN: A clinical predictive model using a retrospective cohort. SETTING: A US health system containing one community and one tertiary hospital. SAMPLE: A total of 22 873 pregnancy episodes with in-hospital delivery at or beyond 21 weeks of gestation. METHODS: Thirty antepartum risk factors were identified as candidate variables, and a prediction model was built using logistic regression predicting OASIS versus no OASIS. Models were fit using the overall study population and separately using hospital-specific cohorts. Bootstrapping was used for internal validation and external cross-validation was performed between the two hospital cohorts. MAIN OUTCOME MEASURES: Model performance was estimated using the bias-corrected concordance index (c-index), calibration plots and decision curves. RESULTS: Fifteen risk factors were retained in the final model. Decreasing parity, previous caesarean birth and cardiovascular disease increased risk of OASIS, whereas tobacco use and black race decreased risk. The final model from the total study population had good discrimination (c-index 0.77, 95% confidence interval [CI] 0.75-0.78) and was able to accurately predict risks between 0 and 35%, where average risk for OASIS was 3%. The site-specific model fit using patients only from the tertiary hospital had c-stat 0.74 (95% CI 0.72-0.77) on community hospital patients, and the community hospital model was 0.77 (95%CI 0.76-0.80) on the tertiary hospital patients. CONCLUSIONS: OASIS can be accurately predicted based on variables known at the time of admission for labour. These predictions could be useful for selectively implementing OASIS prevention strategies.

Kidney Function and Outcomes in Patients Hospitalized With Heart Failure.

BACKGROUND: Few contemporary data exist evaluating care patterns and outcomes in heart failure (HF) across the spectrum of kidney function. OBJECTIVES: This study sought to characterize differences in quality of care and outcomes in patients hospitalized for HF by degree of kidney dysfunction. METHODS: Guideline-directed medical therapies were evaluated among patients hospitalized with HF at 418 sites in the GWTG-HF (Get With The Guidelines-Heart Failure) registry from 2014 to 2019 by discharge CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration)-derived estimated glomerular filtration rate (eGFR). We additionally evaluated the risk-adjusted association of admission eGFR with in-hospital mortality. RESULTS: Among 365,494 hospitalizations (age 72 ± 15 years, left ventricular ejection fraction [EF]: 43 ± 17%), median discharge eGFR was 51 ml/min/1.73 m2 (interquartile range: 34 to 72 ml/min/1.73 m2), 234,332 (64%) had eGFR <60 ml/min/1.73 m2, and 18,869 (5%) were on dialysis. eGFR distribution remained stable from 2014 to 2019. Among 157,439 patients with HF with reduced EF (≤40%), discharge guideline-directed medical therapies, including beta-blockers, were lowest in discharge eGFR <30 mL/min/1.73 m2 or dialysis (p < 0.001). "Triple therapy" with angiotensin-converting enzyme inhibitor/angiotensin receptor blocker/angiotensin receptor-neprilysin inhibitor + beta-blocker + mineralocorticoid receptor antagonist was used in 38%, 33%, 25%, 15%, 5%, and 3% for eGFR ≥90, 60 to 89, 45 to 59, 30 to 44, <30 ml/min/1.73 m2, and dialysis, respectively; p < 0.001. Mortality was higher in a graded fashion at lower admission eGFR groups (1.1%, 1.5%, 2.0%, 3.0%, 5.0%, and 4.2%, respectively; p < 0.001). Steep covariate-adjusted associations between admission eGFR and mortality were observed across EF subgroups, but was slightly stronger for HF with reduced EF compared with HF with mid-range or preserved EF (pinteraction = 0.045). CONCLUSIONS: Despite facing elevated risks of mortality, patients with comorbid HF with reduced EF and kidney disease are not optimally treated with evidence-based medical therapies, even at levels of eGFR where such therapies would not be contraindicated by kidney dysfunction. Further efforts are required to mitigate risk in comorbid HF and kidney disease.

Prevalence and predictors of no-shows to physical therapy for musculoskeletal conditions.

OBJECTIVES: Chronic pain affects 50 million Americans and is often treated with non-pharmacologic approaches like physical therapy. Developing a no-show prediction model for individuals seeking physical therapy care for musculoskeletal conditions has several benefits including enhancement of workforce efficiency without growing the existing provider pool, delivering guideline adherent care, and identifying those that may benefit from telehealth. The objective of this paper was to quantify the national prevalence of no-shows for patients seeking physical therapy care and to identify individual and organizational factors predicting whether a patient will be a no-show when seeking physical therapy care. DESIGN: Retrospective cohort study. SETTING: Commercial provider of physical therapy within the United States with 828 clinics across 26 states. PARTICIPANTS: Adolescent and adult patients (age cutoffs: 14-117 years) seeking non-pharmacological treatment for musculoskeletal conditions from January 1, 2016, to December 31, 2017 (n = 542,685). Exclusion criteria were a primary complaint not considered an MSK condition or improbable values for height, weight, or body mass index values. The study included 444,995 individuals. PRIMARY AND SECONDARY OUTCOME MEASURES: Prevalence of no-shows for musculoskeletal conditions and predictors of patient no-show. RESULTS: In our population, 73% missed at least 1 appointment for a given physical therapy care episode. Our model had moderate discrimination for no-shows (c-statistic:0.72, all appointments; 0.73, first 7 appointments) and was well calibrated, with predicted and observed no-shows in good agreement. Variables predicting higher no-show rates included insurance type; smoking-status; higher BMI; and more prior cancellations, time between visit and scheduling date, and between current and previous visit. CONCLUSIONS: The high prevalence of no-shows when seeking care for musculoskeletal conditions from physical therapists highlights an inefficiency that, unaddressed, could limit delivery of guideline-adherent care that advocates for earlier use of non-pharmacological treatments for musculoskeletal conditions and result in missed opportunities for using telehealth to deliver physical therapy.

Predicting Recurrent Care Seeking of Physical Therapy for Musculoskeletal Pain Conditions.

OBJECTIVE: Musculoskeletal pain conditions are a leading cause of pain and disability internationally and a common reason to seek health care. Accurate prediction of recurrence of health care seeking due to musculoskeletal conditions could allow for better tailoring of treatment. The aim of this project was to characterize patterns of recurrent physical therapy seeking for musculoskeletal pain conditions and to develop a preliminary prediction model to identify those at increased risk of recurrent care seeking. DESIGN: Retrospective cohort. SETTING: Ambulatory care. SUBJECTS: Patients (n = 578,461) seeking outpatient physical therapy (United States). METHODS: Potential predictor variables were extracted from the electronic medical record, and patients were placed into three different recurrent care categories. Logistic regression models were used to identify individual predictors of recurrent care seeking, and the least absolute shrinkage and selection operator (LASSO) was used to develop multivariate prediction models. RESULTS: The accuracy of models for different definitions of recurrent care ranged from 0.59 to 0.64 (c-statistic), and individual predictors were identified from multivariate models. Predictors of increased risk of recurrent care included receiving workers' compensation and Medicare insurance, having comorbid arthritis, being postoperative at the time of the first episode, age range of 44-64 years, and reporting night sweats or night pain. Predictors of decreased risk of recurrent care included lumbar pain, chronic injury, neck pain, pregnancy, age range of 25-44 years, and smoking. CONCLUSION: This analysis identified a preliminary predictive model for recurrence of care seeking of physical therapy, but model accuracy needs to improve to better guide clinical decision-making.

Associations of methyl donor and methylation inhibitor levels during anti-oxidant therapy in heart failure.

Redox balance and methylation are crucial to homeostasis and are linked by the methionine-homocysteine cycle. We examined whether differences in methylation potential, measured as plasma levels of S-adenosyl methionine (SAM) and S-adenosyl homocysteine (SAH), occur at baseline and during anti-oxidant therapy with the xanthine oxidase inhibitor allopurinol in patients with heart failure with reduced ejection fraction. We analyzed plasma samples collected at baseline and 24 weeks in the Xanthine Oxidase Inhibition for Hyperuricemic Heart Failure Patients (EXACT-HF) study, which randomized patients with heart failure with reduced ejection fraction to allopurinol or placebo. Associations between plasma levels of SAM, SAH, SAM/SAH ratio, and outcomes, including laboratory markers and clinical events, were assessed. Despite randomization, median SAM levels were significantly lower at baseline in the allopurinol group. SAH levels at 24 weeks, and change in SAM from baseline to week 24, were significantly higher in the group of patients randomized to allopurinol compared to the placebo group. A significant correlation was observed between change in SAH levels and change in plasma uric acid (baseline to 24-week changes) in the allopurinol group. There were no significant associations between levels of SAM, SAH, and SAM/SAH ratio and clinical outcomes. Our results demonstrate significant biological variability in SAM and SAH levels at baseline and during treatment with an anti-oxidant and suggest a potential mechanism for the lack of efficacy observed in trials of anti-oxidant therapy. These data also highlight the need to explore personalized therapy for heart failure.

Association between levosimendan, postoperative AKI, and mortality in cardiac surgery: Insights from the LEVO-CTS trial.

OBJECTIVES: We aimed to evaluate the association between levosimendan treatment and acute kidney injury (AKI) as well as assess the clinical sequelae of AKI in cardiac surgery patients with depressed left ventricular function (ejection fraction <35%). METHODS: Patients in the LEVO-CTS trial undergoing on-pump coronary artery bypass grafting (CABG), valve, or CABG/valve surgery were stratified by occurrence and severity of postoperative AKI using the AKIN classification. The association between levosimendan infusion and AKI was modeled using multivariable regression. RESULTS: Among 854 LEVO-CTS patients, 231 (27.0%) experienced postoperative AKI, including 182 (21.3%) with stage 1, 35 (4.1%) with stage 2, and 14 (1.6%) with stage 3 AKI. The rate of AKI was similar between patients receiving levosimendan or placebo. The odds of 30-day mortality significantly increased by AKI stage compared to those without AKI (stage 1: adjusted odds ratio [aOR] 2.0, 95% confidence interval [CI] 0.8-4.9; stage 2: aOR 9.1, 95% CI 3.2-25.7; stage 3: aOR 12.4, 95% CI 3.0-50.4). No association was observed between levosimendan, AKI stage, and odds of 30-day mortality (interaction P = .69). Factors independently associated with AKI included increasing age, body mass index, diabetes, and increasing baseline systolic blood pressure. Increasing baseline eGFR and aldosterone antagonist use were associated with a lower risk of AKI. CONCLUSIONS: Postoperative AKI is common among high-risk patients undergoing cardiac surgery and associated with significantly increased risk of 30-day death or dialysis. Levosimendan was not associated with the risk of AKI.

Elevated Uric Acid Prevalence and Clinical Outcomes in Patients with Heart Failure with Preserved Ejection Fraction: Insights from RELAX.

PURPOSE: We aimed to 1) describe characteristics of patients with heart failure with preserved ejection fraction (HFpEF) enrolled in RELAX stratified by normal or elevated baseline serum uric acid (sUA) level; 2) evaluate the association between sUA level and surrogate clinical measures; and 3) assess associations between changes in sUA level over time and changes in surrogate clinical measures. METHODS: We analyzed 212 patients with HFpEF and normal or elevated (>6 mg/dL) baseline sUA measurements from the RELAX trial. Variables examined included clinical characteristics, cardiopulmonary exercise testing, 6-minute walk testing, quality of life, echocardiography, and serum biomarker testing. Baseline characteristics between groups were compared and scatter plots with quadratic regression lines and linear regression modeling were used to assess the relationship between baseline sUA and clinical measures. Kaplan-Meier curves were used to describe composite death or cardiovascular/renal hospitalization. RESULTS: The prevalence of elevated baseline sUA was 68.9%. Patients with elevated sUA had more baseline comorbidities and poorer functional status on cardiopulmonary exercise testing than those without. After adjustment, significant associations between baseline sUA levels and cystatin C, N-terminal pro B-type natriuretic peptide, high-sensitivity troponin I, and high-sensitivity C-reactive protein were identified. Higher baseline sUA was also associated with worsening peak VO2, 6-minute walk testing, and left ventricular mass. No significant association was found between baseline sUA levels and the composite of death or cardiovascular/renal hospitalization at 24 weeks. CONCLUSION: sUA is an important marker of comorbidities and functional status in patients with HFpEF. Clinical trials of sUA-lowering therapies in patients with HFpEF are promising.

Discordances between predicted and actual risk in obese patients with suspected cardiac ischaemia.

OBJECTIVES: To test the relationship between increasing severity of obesity, calculated risk and observed outcomes. METHODS: Patients with symptoms suggestive of coronary artery disease (CAD) (n=10 003) were stratified according to body mass index (BMI). We compared risk factors, pooled risk scores and physicians' perception of risk. Cox regression tested the association between BMI and (1) presence of obstructive CAD and (2) composite clinical endpoints (death, cardiovascular death, unstable angina hospitalisation and myocardial infarction). RESULTS: BMI was ≥30 kg/m2 in 48% of patients and ≥35 in 20%. Increasingly obese patients were younger, female and non-smoking but with higher prevalence of hypertension, diabetes, black race and sedentary lifestyle. Pooled risk estimates of CAD were highest in those with mid-range BMI. In contrast, physicians' estimation of the likelihood of significant CAD based on clinical impression increased progressively with BMI. For a 10% increase in the Diamond-Forrester probability of CAD, the adjusted OR for obstructive CAD was 1.5 (95% CI 1.4 to 1.5) in patients with BMI <35, but only 1.2 (95% CI 1.1 to 1.3) in those with BMI ≥35 (interaction p<0.001). Framingham Risk Score increased across increasing BMI categories. However, there was a strong and consistent inverse relationship between degree of obesity and all three composite clinical endpoints over a median 25 months of follow-up. CONCLUSIONS: Despite perceptions of higher risk and higher risk scores, increasingly obese patients had obstructive CAD less frequently than predicted and had fewer adverse clinical outcomes. There is a need for risk assessment tools and guidelines that account for obesity. TRIAL REGISTRATION NUMBER: NCT01174550.

Are existing and emerging biomarkers associated with cardiorespiratory fitness in patients with chronic heart failure?

BACKGROUND: Cardiorespiratory fitness (CRF) is closely linked to health status and clinical outcomes in heart failure (HF) patients. We aimed to test whether biomarkers can reflect CRF and its change over time. METHODS: This post hoc analysis used data from ambulatory cohorts of heart failure with reduced ejection fraction (HFrEF) (IRONOUT) and heart failure with preserved ejection fraction (HFpEF) (RELAX). Cardiopulmonary exercise testing, 6-minute walk distance (6MWD), and serum biomarkers were measured at baseline and 16- or 24-week follow-up (for IRONOUT and RELAX respectively). Biomarkers included N-terminal pro-B-type natriuretic peptide (NT-proBNP), soluble ST2, growth differentiation factor-15, and Galectin-3. RESULTS: Analysis included 225 patients with HFrEF and 216 with HFpEF. Baseline peak VO2, VE/VCO2 slope, and 6MWD showed a mild correlation with the doubling of all 4 tested biomarkers in HFrEF and HFpEF. Following multivariable adjustment (including all biomarkers), the only significant association between change in biomarker and functional parameter in HFrEF was change in NT-proBNP and change in VE/VCO2 slope (3.596% increase per doubling, 95% CI 0.779-6.492, P = .012). In HFpEF, a decrease in peak VO2 was associated with an increase in NT-proBNP (-0.726 mL/min/kg per doubling, 95% CI -1.100 to -0.353, P < .001), and a decrease in 6MWD was associated with an increase in growth differentiation factor-15 (-31.606 m per doubling, 95% CI -61.404 to -1.809, P = .038). CONCLUSIONS: In these ambulatory trial cohorts, NT-proBNP was associated with baseline and change in CRF in HFrEF and HFpEF. In contrast, novel biomarkers do not appear suitable as a reliable surrogate for serial assessment of exercise capacity in HF patients given lack of consistent independent association with CRF beyond traditional risk factors and NT-proBNP.

Multilevel factors influencing hepatitis B screening and vaccination among Vietnamese Americans in Atlanta, Georgia.

Chronic hepatitis B virus (HBV) infection may lead to liver cirrhosis, chronic liver disease, and liver cancer. Immunization rates are suboptimal among Asian Americans/Pacific Islanders (AAPIs), who remain disproportionately affected by these illnesses. We investigated socioecological factors affecting HBV prevention among 316 Vietnamese Americans in Atlanta, Georgia. Social and community support of HBV vaccination was associated with screening (OR=1.69, 95% CI [1.21,2.38]), vaccination (OR=1.89, [1.27,2.81]), and intent to vaccinate (OR=1.77, [1.13,2.78]). Misconceptions decreased screening likelihood (OR=0.67, [0.46,0.99]) and vaccination (OR=0.55, [0.35,0.86]). Those able to pay for medical treatment (OR=1.23, [1.01,1.50]) were also more likely immunized, and greater transportation access (OR=1.42, [1.07,1.87]) was associated with greater intention to vaccinate. Multi-level factors facilitated HBV vaccination in this population. Tailored, culturally appropriate communication strategies will positively influence immunization uptake.