Dunlay, Shannon M.

BACKGROUND: Validly measuring disease-specific health status is critical in patients with severe tricuspid regurgitation (TR) to quantify the benefit of different interventions. The Kansas City Cardiomyopathy Questionnaire (KCCQ) has been used to assess health status in patients with severe TR, but its content validity in this patient population is unknown, including whether additional questions are needed to supplement the KCCQ. METHODS: Twenty participants with symptomatic severe TR from 2 midwestern clinical sites were interviewed in 2023 using a semistructured guide. The interview guide addressed symptoms, physical and social functioning, and quality of life concepts of the KCCQ, as well as other potential TR symptoms not represented in the KCCQ. Interview transcripts were analyzed using inductive and deductive coding and content analysis, with additional participants recruited until thematic saturation occurred. RESULTS: Mean age of the participants was 80 (41–89), and 75% were female. Shortness of breath and fatigue were reported by virtually all participants (n=20 and n=19, respectively) and had a marked negative impact on their physical and social functioning and quality of life. Lower limb edema was also reported by 10 participants. Although these concepts are captured by the KCCQ, other symptoms were also reported, including appetite loss (n=8) and upper body edema (n=4), but did not seem to markedly affect participants’ function or quality of life. In addition, all participants who experienced these other symptoms reported symptoms that were already captured by the KCCQ. CONCLUSIONS: All participants experienced symptoms captured by the KCCQ, and these symptoms had a substantial impact on their physical and social functioning and quality of life. Although some participants reported additional symptoms not assessed by the KCCQ, their incorporation would only marginally improve content validity. Thus, the current KCCQ appears to be appropriate for capturing the disease-specific health status of patients with severe TR.

Objective Patients with heart failure (HF) perform a variety of self-care activities to control symptoms and minimise the risk of HF decompensations. The objective of this study was to understand how patients build capacity and manage the work of living with HF. Design A qualitative study using semi-structured telephone interviews. The interview guide was informed by the Cumulative Complexity Model, a conceptual framework that focuses on a patient’s workload and their capacity to manage that work. Interview transcripts were analysed using a mixed inductive and deductive coding approach with organisation into larger thematic categories. Setting Southeastern Minnesota USA (11 counties) with capture of data from local community healthcare providers under the auspices of the Rochester Epidemiology Project. Participants Intentional sampling of local patients with HF (n=24, median age 69.5 years, 54% women, 63% rural, 54% preserved ejection fraction) who reported high treatment burden and/ or poor health status on a questionnaire. Results Three major themes emerged: using capacity to manage workload, disruptions resulting in workload exceeding capacity and regaining workload-capacity balance. Participants described routinising the daily tasks associated with living with HF to minimise the associated burden and identified disruptions to their routines, including hospitalisations, emergency room visits, worsening health status and changes in healthcare access. To accommodate disruptions and regain workload-capacity balance, participants decreased workload and/or transferred tasks to others to maximise capacity. Conclusions Participants with HF described managing patient workload in times of stable health, but they sometimes struggled to accommodate disruptions and worsening health status. These findings can inform the design of interventions to minimise workload, maximise capacity and improve quality of life for patients with HF.

Introduction: Psychological resilience is the ability to adapt to significant adversity. Higher resilience has been associated with better quality of life in HF, but its association with outcomes is not known. Herein, we characterize resilience and its association with outcomes in HF. Research Questions/Hypothesis: Greater resilience is associated with better health status and outcomes in high-risk HF. Methods: In a prospective study, adult residents of 11 counties in Southeastern Minnesota with HF who had been hospitalized with decompensated HF or ventricular arrhythmia (“high-risk HF”) in the preceding 1 year were mailed a survey that included questionnaires to assess resilience (Connor Davidson resilience scale, CD-RISC2), health status (KCCQ-12), and other psychosocial constructs in March 2022. Patients were divided into tertiles by resilience scores, and association with outcomes (survival and hospitalization) were examined using Cox proportional hazard regression and Andersen-Gill models, respectively. Results: Among 649 respondents (mean age 76 ± 11.5 years, 40% women, 64.3% HFpEF), patients with greater resilience were older ( p=0.015 ), had lower BMI ( p=0.003 ) and were more often retired or employed (vs disabled or unemployed, p<0.001 ). Greater resilience was moderately correlated with better health status (r=0.33), social support (r=0.27), and health literacy (r=-0.30); and lower treatment burden (r=-0.42), symptom burden (r=-0.41), and fewer depressive symptoms (r=-0.41) ( p<0.001 for all ). At 1-year follow up, patients with the lowest resilience (lowest tertile) were at a significantly increased risk for HF hospitalizations (adjusted HR 2.09, 95% CI 1.06-4.11) and CV mortality (adjusted HR 1.90, 95% CI 1.01-2.57) compared to those with highest resilience. There was no statistically significant association of resilience with risks of all-cause mortality or all-cause hospitalizations after adjustment ( Figures 1A-D ). Conclusion: Higher resilience is associated with better health status and psychosocial profile. Patients with low resilience are at increased risk for HF hospitalizations and CV mortality. Impact of resilience on long term outcomes and response to interventions must be tested in future studies.

ImportanceImproving patients’ health status is a key goal of treating tricuspid regurgitation (TR). The Kansas City Cardiomyopathy Questionnaire (KCCQ) is a heart failure disease-specific health status measure used to capture the health status impact of TR and the benefit of transcatheter tricuspid valve intervention (TTVI), but its validity in this clinical setting is unknown.ObjectiveTo evaluate the psychometric properties of the KCCQ in patients with TR.Design, Setting, and ParticipantsData were pooled from patients with severe TR enrolled in 11 manufacturer-sponsored trials of TTVI. The data were transferred to the US Food and Drug Administration to harmonize and anonymize prior to analysis by an independent center. Data were collected from December 2015 to April 2023, and data analysis was performed from July to October 2023.Main Outcomes and MeasuresPrespecified analyses included evaluation of internal consistency, reproducibility, responsiveness, construct validity, and predictive validity. Outcomes were determined using Cronbach α, score comparisons, intraclass correlation, Cohen d, Spearman correlations with best available reference measures, and association of scores and changes in scores with risk of subsequent clinical events.ResultsThe study cohort was composed of 2693 patients enrolled in either single-arm (n = 1517) or randomized (n = 1176) investigations of TTVI. Mean (SD) patient age was 78.6 (8.0) years, 1658 of 2693 patients (61.6%) were female, and the mean (SD) baseline KCCQ Overall Summary (KCCQ-OS) score was 50 (23). There was strong internal consistency within individual domains (Cronbach α, .77-.83). Among clinically stable patients between 1 and 6 months, there were small mean changes in KCCQ domain and summary scores (differences of −0.1 to 1.9 points), demonstrating reproducibility. In contrast, domain and summary scores of patients who underwent TTVI showed large improvements at 1 month after treatment (mean changes, 12.1-21.4 points), indicating excellent perceived responsiveness. Construct validity was moderately strong when domains were compared with best available reference measures (Spearman correlations, 0.47-0.69). In both cross-sectional and longitudinal analyses, the KCCQ-OS was associated with clinical events, with lower scores associated with an increased risk of mortality (hazard ratio, 1.34 per 10-point decrement; 95% CI, 1.22-1.47) and heart failure hospitalization (hazard ratio, 1.24 per 10-point decrement; 95% CI, 1.17-1.31).Conclusions and RelevanceIn this cohort study, the KCCQ had strong psychometric properties in patients with severe TR, including reliability, responsiveness, and validity. These data support use of the KCCQ in patients with severe TR as a measure of their symptoms, function, and quality of life and also for assessing the impact of interventions, such as TTVI, in rigorously controlled trials.

Abstract Aims Hospitalized patients with heart failure (HF) are a heterogeneous population, with multiple phenotypes proposed. Prior studies have not examined the biological phenotypes of critically ill patients with HF admitted to the contemporary cardiac intensive care unit (CICU). We aimed to leverage unsupervised machine learning to identify previously unknown HF phenotypes in a large and diverse cohort of patients with HF admitted to the CICU. Methods We screened 6008 Mayo Clinic CICU patients with an admission diagnosis of HF from 2007 to 2018 and included those without missing values for common laboratory tests. Consensus k-means clustering was performed based on 10 common admission laboratory values (potassium, chloride, anion gap, blood urea nitrogen, haemoglobin, red blood cell distribution width, mean corpuscular volume, platelet count, white blood cell count and neutrophil-to-lymphocyte ratio). In-hospital mortality was evaluated using logistic regression, and 1 year mortality was evaluated using Cox proportional hazard models after multivariable adjustment. Results Among 4877 CICU patients with HF who had complete admission laboratory data (mean age 69.4 years, 38.4% females), we identified five clusters with divergent demographics, comorbidities, laboratory values, admission diagnoses and use of critical care therapies. We labelled these clusters based on the characteristic laboratory profile of each group: uncomplicated (25.7%), iron-deficient (14.5%), cardiorenal (18.4%), inflamed (22.3%) and hypoperfused (19.2%). In-hospital mortality occurred in 10.7% and differed between the phenotypes: uncomplicated, 2.7% (reference); iron-deficient, 8.1% [adjusted odds ratio (OR) 2.18 (1.38–3.48), P &lt; 0.001]; cardiorenal, 10.3% [adjusted OR 2.11 (1.37–3.32), P &lt; 0.001]; inflamed, 12.5% [adjusted OR 1.79 (1.18–2.76), P = 0.007]; and hypoperfused, 21.9% [adjusted OR 4.32 (2.89–6.62), P &lt; 0.001]. These differences in mortality between phenotypes were consistent when patients were stratified based on demographics, aetiology, admission diagnoses, mortality risk scores, shock severity and systolic function. One-year mortality occurred in 31.5% and differed between the phenotypes: uncomplicated, 11.9% (reference); inflamed, 26.8% [adjusted hazard ratio (HR) 1.56 (1.27–1.92), P &lt; 0.001]; iron-deficient, 33.8% [adjusted HR 2.47 (2.00–3.04), P &lt; 0.001]; cardiorenal, 41.2% [adjusted HR 2.41 (1.97–2.95), P &lt; 0.001]; and hypoperfused, 52.3% [adjusted HR 3.43 (2.82–4.18), P &lt; 0.001]. Similar findings were observed for post-discharge 1 year mortality. Conclusions Unsupervised machine learning clustering can identify multiple distinct clinical HF phenotypes within the CICU population that display differing mortality profiles both in-hospital and at 1 year. Mortality was lowest for the uncomplicated HF phenotype and highest for the hypoperfused phenotype. The inflamed phenotype had comparatively higher in-hospital mortality yet lower post-discharge mortality, suggesting divergent short-term and long-term prognosis.

Background The epidemiology and pathophysiology of heart failure (HF) differ in women and men. Whether these differences extend to the subgroup of patients with advanced HF is not well defined. Methods and Results This is a retrospective cohort study of all adult Olmsted County, Minnesota residents with advanced HF (European Society of Cardiology criteria) from 2007 to 2017. Differences in survival and hospitalization risks in women and men following advanced HF development were examined using Cox proportional hazard regression and Andersen‐Gill models, respectively. Of 936 individuals with advanced HF, 417 (44.6%) were women and 519 (55.4%) were men (self‐reported sex). Time from development of HF to advanced HF was similar in women and men (median 3.2 versus 3.6 years). Women were older at diagnosis (mean age 79 versus 75 years), less often had coronary disease and hyperlipidemia, but more often had hypertension and depression ( P <0.05 for each). Advanced HF with preserved ejection fraction was more prevalent in women than men (60% versus 30%, p<0.001). There were no differences in adjusted risks of all‐cause mortality (hazard ratio [HR], 0.89 [95% CI, 0.77–1.03]), cardiovascular mortality (HR, 0.85 [95% CI, 0.70–1.02]), all‐cause hospitalizations (HR, 1.04 [95% CI, 0.90–1.20]), or HF hospitalizations (HR, 0.91 [95% CI, 0.75–1.11]) between women and men. However, adjusted cardiovascular mortality was lower in women versus men with advanced HF with reduced ejection fraction (HR, 0.72 [95% CI, 0.56–0.93]). Conclusions Women more often present with advanced HF with preserved ejection fraction and men with atherosclerotic disease and advanced HF with reduced ejection fraction. Despite these differences, survival and hospitalization risks are largely comparable in women and men with advanced HF.

Background: Epidemiologic studies have demonstrated that the incidence of heart failure varies by race and ethnicity, with the highest incidence occurring in blacks. However, whether these racial and ethnic variations extend to commercially insured populations and whether differences in early outcomes after diagnosis exist requires further exploration. Methods: We utilized administrative claims data from a large U.S. commercial insurance database to retrospectively identify privately insured and Medicare Advantage patients who were diagnosed with heart failure between 2006 and 2014. Published claims-based algorithms were used to identify patients with incident HF and categorize reasons for hospitalization after diagnosis. Results: Among 148,827 patients with incident heart failure (mean age 72.2 years, 51% women), 70% were white, 15% black, 6% Hispanic, 3% Asian and 6% had unknown race/ ethnicity. The incidence of heart failure during the study period was 3.7 per 1000 person-years and was highest among blacks, followed by whites, Hispanics and Asians (9.9, 3.6, 2.5, and 2.0 per 1000 person-years, respectively). In total, 37% of patients were hospitalized at least once in the first year after diagnosis for a total of 93,358 hospitalizations. HF was the most common reason for hospitalization (13% of all hospitalizations), followed by arrhythmia (5%), sepsis (5%), pneumonia (4%), COPD (3%) and acute renal failure (3%). Reasons for hospitalization were similar across racial and ethnic groups. The rate of hospitalizations was highest the first month after diagnosis and then gradually declined. Black patients had the highest rates of hospitalization, while Asians had the lowest (Figure). Conclusions: Even among a commercially insured population that likely have fewer barriers to care, black patients had a higher incidence of HF and higher rates of hospitalization after initial diagnosis compared with other racial and ethnic groups.

Introduction: Age ≥ 70 is used to exclude patients from cardiac transplantation. Elderly patients may be offered left ventricular assist device (LVAD) therapy as an alternative. It remains poorly defined how they respond to LVAD support. Hypothesis: Elderly patients have LVAD outcomes that are non-inferior to younger patients. Methods: Data on 1,149 continuous-flow LVAD recipients from May 2004 to May 2015 was pooled from the Mechanical Circulatory Support Research Network (MCSRN). Groups were assigned based on Age ≥ 70 (n = 163) and < 70 (n = 986). Results: Patients age ≥ 70 were more likely to be male (91%), have an ischemic cardiomyopathy (71%), atrial fibrillation (41%), hypertension (66%), diabetes (38%) and prior sternotomy (45%). Older patients also had a lower BMI and higher creatinine, 26.7 ± 0.4 v. 29.9 ± 0.5 and 1.46 ± 0.04 v. 1.35 ± 0.02, p < 0.05. The hazard ratio for mortality was highest in elderly patients in the early post-operative period and stabilized over time with no long-term differences in survival, p = 0.18, Figure 1a. Elderly patients had equivalent rates of device thrombosis and stroke, p = 0.47 and 0.44, Figures 1b-c. Survival free of gastrointestinal bleeding (GIB) at 1-year was 58% in elderly patients compared to 69% in younger patients, Figure 1d, p < 0.01. Multivariate cox regression revealed that age ≥ 70 was not a significant predictor of mortality (HR 0.93, 95% CI 0.69 - 1.25, p = 0.62), but pre-operative creatinine (HR 1.54, 95% CI 1.28 - 1.86, p < 0.01) and bilirubin (HR 1.2, 95% CI 1.03 - 1.4, p = 0.02) were. When age was considered a continuous variable, the HR was 1.2 (95% CI 1.07 - 1.3 per 10y, p < 0.01). Conclusions: Elderly patients, age ≥ 70, have equivalent long-term survival after LVAD implantation with similar rates of device thrombosis and stroke. Rates of GIB were higher in the elderly and this finding warrants caution when choosing anti-coagulation protocols in the elderly. Overall age ≥ 70 does not portend a poorer survival after LVAD implant.