Unsupervised machine learning to identify subphenotypes among cardiac intensive care unit patients with heart failure.

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 < 0.001]; cardiorenal, 10.3% [adjusted OR 2.11 (1.37-3.32), P < 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 < 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 < 0.001]; iron-deficient, 33.8% [adjusted HR 2.47 (2.00-3.04), P < 0.001]; cardiorenal, 41.2% [adjusted HR 2.41 (1.97-2.95), P < 0.001]; and hypoperfused, 52.3% [adjusted HR 3.43 (2.82-4.18), P < 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.

Advanced Heart Failure Characteristics and Outcomes in Women and Men.

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.

Differences in Donor Heart Acceptance by Race and Gender of Patients on the Transplant Waiting List.

Importance: Barriers to heart transplant must be overcome prior to listing. It is unclear why Black men and women remain less likely to receive a heart transplant after listing than White men and women. Objective: To evaluate whether race or gender of a heart transplant candidate (ie, patient on the transplant waiting list) is associated with the probability of a donor heart being accepted by the transplant center team with each offer. Design, Setting, and Participants: This cohort study used the United Network for Organ Sharing datasets to identify organ acceptance with each offer for US non-Hispanic Black (hereafter, Black) and non-Hispanic White (hereafter, White) adults listed for heart transplant from October 18, 2018, through March 31, 2023. Exposures: Black or White race and gender (men, women) of a heart transplant candidate. Main Outcomes and Measures: The main outcome was heart offer acceptance by the transplant center team. The number of offers to acceptance was assessed using discrete time-to-event analyses, nonparametrically (stratified by race and gender) and parametrically. The hazard probability of offer acceptance for each offer was modeled using generalized linear mixed models adjusted for candidate-, donor-, and offer-level variables. Results: Among 159 177 heart offers with 13 760 donors, there were 14 890 candidates listed for heart transplant; 30.9% were Black, 69.1% were White, 73.6% were men, and 26.4% were women. The cumulative incidence of offer acceptance was highest for White women followed by Black women, White men, and Black men (P < .001). Odds of acceptance were less for Black candidates than for White candidates for the first offer (odds ratio [OR], 0.76; 95% CI, 0.69-0.84) through the 16th offer. Odds of acceptance were higher for women than for men for the first offer (OR, 1.53; 95% CI, 1.39-1.68) through the sixth offer and were lower for the 10th through 31st offers. Conclusions and Relevance: The cumulative incidence of heart offer acceptance by a transplant center team was consistently lower for Black candidates than for White candidates of the same gender and higher for women than for men. These disparities persisted after adjusting for candidate-, donor-, and offer-level variables, possibly suggesting racial and gender bias in the decision-making process. Further investigation of site-level decision-making may reveal strategies for equitable donor heart acceptance.

Cardiac healthcare disparities and electrocardiography (ECG) differences in schizophrenia at end of life.

Schizophrenia is associated with early mortality of 15 to 20 years, and 80 % of deaths are due to cardiovascular disease with a three-times greater risk of sudden-cardiac-death. While lifestyle, medications, genetics, and healthcare disparities are contributing factors, the etiology of this complex process is not fully understood. The aim of this study is to examine cardiac-related healthcare utilization and electrocardiogram (ECG) outcomes in schizophrenia at the end of life (EOL). A cohort of individuals with schizophrenia (SG) (n = 610, ≥50 years) were identified retrospectively from a unified clinical data platform and measures of cardiovascular healthcare utilization were evaluated within a 12-month period prior to death. Similarly, a control group (n = 610) was randomly identified and matched by gender (53 % females) and age of death (72.8 ± 12.4 years). Statistical methods included Cochran-Mantel-Haenszel and mixed-effects logistic & linear regression tests with adjustments for match strata and marital status, race, age, and gender as covariates. Results indicate that SG was more likely to be unmarried, unemployed, or from minority groups (all p < 0.001), and more likely to have diabetes and/or cardiovascular disease (p < 0.001). SG was less likely to receive an ECG (p = 0.001) or cardiac catheterization procedure (p < 0.001). SG had a greater mean QTc (447.2 ms vs. 434.6 ms; p = 0.001) and were twice as likely to have "prolonged QT" on ECG report (p = 0.006). In conclusion, SG had reduced likelihood of cardiac-related healthcare interventions, and despite greater likelihood of prolonged QTc, a recognized biomarker of cardiac risk, ECG was less likely at EOL. Given greater cardiac comorbidity and risk of sudden cardiac death in schizophrenia, improved practice guidelines are needed.

Mortality and Morbidity of Heart Failure Hospitalization in Adult Patients With Congenital Heart Disease.

BACKGROUND: Little is known about outcomes following heart failure (HF) hospitalization among adults with congenital heart disease (CHD) in the United States. We aim to compare the outcomes of HF versus non-HF hospitalizations in adults with CHD. METHODS AND RESULTS: Using a national deidentified administrative claims data set, patients with adult congenital heart disease (ACHD) hospitalized with and without HF (ACHDHF+, ACHDHF-) were characterized to determine the predictors of 90-day and 1-year mortality and quantify the risk of mortality, major adverse cardiac and cerebrovascular events, and health resource use. Cox proportional hazard regression was used to compare ACHDHF+ versus ACHDHF- for risk of events and health resource use. Of 26 454 unique ACHD admissions between January 1, 2010 and December 31, 2020, 5826 (22%) were ACHDHF+ and 20 628 (78%) were ACHDHF-. The ACHD HF+ hospitalizations increased from 6.6% to 14.0% (P<0.0001). Over a mean follow-up period of 2.23 ± 2.19 years, patients with ACHDHF+ had a higher risk of mortality (hazard ratio [HR], 1.86 [95% CI, 1.67-2.07], P<0.001), major adverse cardiac and cerebrovascular events (HR, 1.73 [95% CI, 1.63-1.83], P<0.001) and health resource use including rehospitalization (HR, 1.09 [95% CI, 1.05-1.14], P<0.001) and increased postacute care service use (HR, 1.56 [95% CI, 1.32-1.85], P<0.001). Cardiology clinic visits within 30 days of hospital admission were associated with lower 90-day and 1-year all-cause mortality (odds ratio [OR], 0.62 [95% CI, 0.49-0.78], P<0.001; OR, 0.69 [95% CI, 0.58-0.83], P<0.001, respectively). CONCLUSIONS: HF hospitalization is associated with increased risk of mortality and morbidity with high health resource use in patients with ACHD. Recent cardiology clinic attendance appears to mitigate these risks.

Advanced Heart Failure Characteristics and Outcomes in Commercially Insured U.S. Adults.

BACKGROUND: The characteristics and outcomes of patients with advanced heart failure (HF) have been poorly defined due to challenges in applying the complex advanced HF definition broadly to populations. OBJECTIVES: In this study, the authors sought to apply a validated advanced HF algorithm to a large U.S. administrative claims database and describe the population and use of advanced HF therapies. METHODS: This study included adults with advanced HF identified in the OptumLabs Data Warehouse from 2009 to 2019. The algorithm for advanced HF required 2 hospitalizations for HF plus 1 additional sign of advanced HF in a 12-month period. The association of baseline characteristics with mortality was examined with the use of Cox proportional hazards models. Associations of patient characteristics with advanced therapies were estimated with the use of cause-specific Cox proportional hazard models. RESULTS: In 60,197 patients identified with advanced HF, the mean age was 73 years, 51.5% were men, and 64.3% were non-Hispanic White, 1.9% Asian, 21.2% Black, and 8.2% Hispanic. The median survival with advanced HF was 2.0 years (IQR: 0.4-5.5 years). Differences in mortality and use of advanced therapies by age, sex, and race/ethnicity were observed. Adjusted mortality was higher in patients who were older, male, non-Hispanic White, and from rural areas (P < 0.05 for all). Advanced therapies were used less in older patients and women (P < 0.05 for both). Black patients were more likely to be treated with a left ventricular assist device (P = 0.010) but less likely to receive a heart transplant compared with White patients (P = 0.034). CONCLUSIONS: In U.S. adults with advanced HF, variation in outcomes and use of advanced therapies exist by age, sex, and race/ethnicity.

Dual-Organ Transplantation: Indications, Evaluation, and Outcomes for Heart-Kidney and Heart-Liver Transplantation: A Scientific Statement From the American Heart Association.

Although heart transplantation is the preferred therapy for appropriate patients with advanced heart failure, the presence of concomitant renal or hepatic dysfunction can pose a barrier to isolated heart transplantation. Because donor organ supply limits the availability of organ transplantation, appropriate allocation of this scarce resource is essential; thus, clear guidance for simultaneous heart-kidney transplantation and simultaneous heart-liver transplantation is urgently required. The purposes of this scientific statement are (1) to describe the impact of pretransplantation renal and hepatic dysfunction on posttransplantation outcomes; (2) to discuss the assessment of pretransplantation renal and hepatic dysfunction; (3) to provide an approach to patient selection for simultaneous heart-kidney transplantation and simultaneous heart-liver transplantation and posttransplantation management; and (4) to explore the ethics of multiorgan transplantation.

Changes in Kidney Function After Diagnosis of Advanced Heart Failure.

BACKGROUND: Kidney function and its association with outcomes in patients with advanced heart failure (HF) has not been well-defined. METHODS AND RESULTS: We conducted a retrospective cohort study comprising all adult residents of Olmsted County, Minnesota, with HF who developed advanced HF from 2007 to 2017. Patients were grouped by estimated glomerular filtration rate (eGFR) at advanced HF diagnosis using the 2021 Chronic Kidney Disease Epidemiology Collaboration equation. A linear mixed effects model was fitted to assess the relationship between development of advanced HF and longitudinal eGFR trajectory. A total of 936 patients with advanced HF (mean age 77 years, 55% male, 93.7% White) were included. Twenty-two percent of these patients had an eGFR of <30 at advanced HF diagnosis, 22% had an eGFR of 30-44, 23% had an eGFR of 45-59, and 32% had an eGFR of ≥60 mL/min/1.73 m2. The eGFR decreased faster after advanced HF (7.6% vs 10.9% annual decline before vs after advanced HF), with greater decreases after advanced HF in those with diabetes and preserved ejection fraction. An eGFR of <30 mL/min/1.73 m2 was associated with worse survival after advanced HF compared with an eGFR of ≥60 mL/min/1.73 m2 (adjusted hazard ratio 1.30, 95% confidence interval 1.07-1.57). CONCLUSIONS: eGFR deteriorated faster after patients developed advanced HF. An eGFR of <30 mL/min/1.73 m2 at advanced HF diagnosis was associated with higher mortality.

Trends in Incidence of Chronic Heart Failure in Patients With Rheumatoid Arthritis: A Population-Based Study Validating Different Heart Failure Definitions.

OBJECTIVE: To assess trends in the incidence of heart failure (HF) in patients with incident rheumatoid arthritis (RA) from 1980 to 2009 and to compare different HF definitions in RA. METHODS: The study population comprised Olmsted County, Minnesota residents with incident RA (age ≥ 18 yrs, 1987 American College of Rheumatology criteria met in 1980-2009). All subjects were followed until death, migration, or April 30, 2019. Incident HF events were defined as follows: (1) meeting the Framingham criteria for HF, (2) diagnosis of HF (outpatient or inpatient) by a physician, or (3) International Classification of Diseases, 9th revision (ICD-9), or ICD, 10th revision (ICD-10), codes for HF. Patients with HF prior to the RA incidence/index date were excluded. Cox proportional hazards models were used to compare incident HF events by decade, adjusting for age, sex, and cardiovascular risk factors. HF definitions 2 and 3 were compared to the Framingham criteria. RESULTS: The study included 905 patients with RA (mean age 55.9 years; 68.6% female; median follow-up 13.4 years). The 10-year cumulative incidence of HF events by any chart-reviewed method in the RA cohort in the 1980s was 11.66% (95% CI 7.86-17.29), in the 1990s it was 12.64% (95% CI 9.31-17.17), and in the 2000s it was 7.67% (95% CI 5.36-10.97). The incidence of HF did not change across the decades of RA incidence using any of the HF definitions. Physician diagnosis of HF and ICD-9/10 code-based definitions of HF performed well compared to the Framingham criteria, showing moderate to high sensitivity and specificity. CONCLUSION: The incidence of HF in patients with incident RA in the 2000s vs the 1980s was not statistically significantly different. Physician diagnosis of HF and ICD-9/10 codes for HF performed well against the Framingham criteria.

Cardiovascular Events Among Survivors of Sepsis Hospitalization: A Retrospective Cohort Analysis.

Background Sepsis is associated with an elevated risk of late cardiovascular events among hospital survivors. Methods and Results We included OptumLabs Data Warehouse patients from 2009 to 2019 who survived a medical/nonsurgical hospitalization lasting at least 2 nights. The association between sepsis during hospitalization, based on explicit and implicit discharge International Classification of Diseases, Ninth Revision (ICD-9)/Tenth Revision (ICD-10) diagnosis codes, with subsequent death and rehospitalization was analyzed using Kaplan-Meier survival analysis and multivariable Cox proportional-hazards models. The study population included 2 258 464 survivors of nonsurgical hospitalization (5 396 051 total patient-years of follow-up). A total of 808 673 (35.8%) patients had a sepsis hospitalization, including implicit sepsis only in 448 644, explicit sepsis only in 124 841, and both in 235 188. Patients with sepsis during hospitalization had an elevated risk of all-cause mortality (adjusted hazard ratio [HR], 1.27 [95% CI, 1.25-1.28]; P<0.001), all-cause rehospitalization (adjusted HR, 1.38 [95% CI, 1.37-1.39]; P<0.001), and cardiovascular hospitalization (adjusted HR, 1.43 [95% CI, 1.41-1.44]; P<0.001), especially heart failure hospitalization (adjusted HR, 1.51 [95% CI, 1.49-1.53]). Patients with implicit sepsis had higher risk than those with explicit sepsis. A sensitivity analysis using the first hospitalization yielded concordant results for cardiovascular hospitalization (adjusted HR, 1.78 [95% CI, 1.76-1.78]; P<0.001), as did a propensity-weighted analysis (adjusted HR, 1.52 [95% CI, 1.50-1.54]; P<0.001). Conclusions Survivors of sepsis hospitalization are at elevated risk of early and late post-discharge death as well as cardiovascular and non-cardiovascular rehospitalization. This hazard spans the spectrum of cardiovascular events and may suggest that sepsis is an important cardiovascular risk factor.

Investigating gender-based differential item functioning on the Kansas City Cardiomyopathy Questionnaire (KCCQ) using qualitative content analysis.

PURPOSE: The purpose of this study is to evaluate potential gender-based differences in interpreting the Kansas City Cardiomyopathy Questionnaire (KCCQ-23) and to explore if there are aspects of health-related quality of life (HRQOL) not captured by the KCCQ-23 that are important to assess in men and/or women with heart failure (HF). METHODS: Patients ≥ 22 years of age with clinician-diagnosed HF and left ventricular ejection fraction ≤ 40% were recruited from two academic medical centers to participate in semi-structured concept elicitation and cognitive debriefing interviews. Enrollment was stratified by patient-identified gender (half women/half men). All interviews were conducted over the phone/web and audio recorded. Interviews were transcribed and descriptive qualitative content analysis was used to summarize findings overall and by gender. RESULTS: Twenty-five adults (56% women) diagnosed with HF participated. The average age was 67 years (range: 25-88). Women attributed a wider variety of symptoms to HF than men. Some participants had difficulty differentiating whether their experiences were due to HF, side effects of their medications, or age. We found very little evidence that participants interpreted KCCQ-23 items differently based on gender. CONCLUSIONS: Overall, our findings indicate that interpretation of the KCCQ-23 items were similar in men and women. However, some modifications to items may improve clarity of interpretation for a wide range of patients.

Incident Heart Failure With Mildly Reduced Ejection Fraction: Frequency, Characteristics, and Outcomes.

BACKGROUND: Heart failure (HF) with an ejection fraction (EF) of 41%-49% is recognized as HF with a mildly reduced EF (HFmrEF). However, existing knowledge of the HFmrEF phenotype is based on HF clinical trial and registry cohorts that may be limited by multiple forms of bias. METHODS AND RESULTS: In a community-based, retrospective cohort study, adult residents of Olmsted County, Minnesota, with validated (Framingham criteria) incident HF from 2007 to 2015 were categorized by echocardiographic EF at first HF diagnosis. Among 2035 adults with incident HF, 12.5% had HFmrEF, 29.9% had HF with reduced EF (HFrEF), and 57.6% had HF with preserved EF (HFpEF). Mean age and sex varied by EF group, with HFmrEF (75.6 years, 45.3% female), HFrEF (70.9 years, 36.5% female), and HFpEF (76.9 years, 59.7% female). Most comorbid conditions were more common in HFmrEF vs HFrEF, but similar in HFmrEF and HFpEF. After a mean follow-up of 4.6 ± 3.5 years, adjusting for age, sex, and comorbidities, the risks of hospitalization and cardiovascular mortality did not differ by EF category. Of patients who began as HFmrEF, 26.9% declined to an EF of 40% or less and 44.8% improved to an EF of 50% or greater. CONCLUSIONS: In this community cohort of incident HF, 12.5% have HFmrEF. Clinical characteristics in HFmrEF resemble HFpEF more than HFrEF. Adjusted hospitalization and mortality risks did not vary by EF group. Patients with incident HFmrEF usually transitioned to a different EF category on follow-up.

Activities of Daily Living and Outcomes in Patients with Advanced Heart Failure.

BACKGROUND: Functional debility is associated with worse outcomes in the general heart failure population, but the prevalence of difficulty with activities of daily living and clinical significance once patients develop advanced heart failure requires further examination. METHODS: This was a population-based, retrospective cohort study of Olmsted County, Minnesota adults with advanced heart failure from 2007-2018. Difficulty with 9 activities of daily living was assessed by questionnaire. Predictors of difficulty were assessed by a proportional odds model. Associations of difficulty with activities of daily living with mortality and hospitalization were examined using Cox and Andersen-Gill models. RESULTS: Among 765 patients with advanced heart failure, 565 (73.9%) reported difficulty with activities of daily living at diagnosis. Of those, 257 (45%) had moderate and 148 (26%) had severe difficulty. Independent predictors of difficulty included female sex (odds ratio [OR] 1.73; 95% confidence interval [CI], 1.26-2.36; P = .001), older age (OR per 10-year increase 1.17; 95% CI, 1.05-1.31; P = .005), dementia (OR 1.85; 95% CI, 1.06-3.24; P = .031), depression (OR 1.75; 95% CI, 1.28-2.40; P = .001), and morbid obesity (OR 1.49; 95% CI, 1.04-2.13; P = .031). Estimated 2-year mortality was 61.5%, 64.2%, and 67.6% in patients with no/minimal, moderate, and severe difficulty, respectively. The adjusted hazard ratios (95% CI) for death were 1.08 (0.90-1.28) and 1.17 (0.95-1.43) for moderate and severe difficulty, respectively, vs no/minimal difficulty (P = .33). There were no statistically significant associations of difficulty with activities of daily living and hospitalization risks. CONCLUSIONS: Most patients with advanced heart failure have difficulty completing activities of daily living and are at high risk of mortality regardless of impairment in activities of daily living.

Guideline-Directed Medical Therapy in Newly Diagnosed Heart Failure With Reduced Ejection Fraction in the Community.

BACKGROUND: Guideline-directed medical therapy (GDMT) dramatically improves outcomes in heart failure with reduced ejection fraction (HFrEF). Our goal was to examine GDMT use in community patients with newly diagnosed HFrEF. METHODS AND RESULTS: We performed a population-based, retrospective cohort study of all Olmsted County, Minnesota, residents with newly diagnosed HFrEF (EF ≤ 40%) 2007-2017. We excluded patients with contraindications to medication initiation. We examined the use of beta-blockers, HF beta-blockers (metoprolol succinate, carvedilol, bisoprolol), angiotensin converting enzyme inhibitors (ACEis), angiotensin receptor blockers (ARBs), angiotensin receptor neprilysin inhibitors (ARNIS), and mineralocorticoid receptor antagonists (MRAs) in the first year after HFrEF diagnosis. We used Cox models to evaluate the association of being seen in an HF clinic with the initiation of GDMT. From 2007 to 2017, 1160 patients were diagnosed with HFrEF (mean age 69.7 years, 65.6% men). Most eligible patients received beta-blockers (92.6%) and ACEis/ARBs/ARNIs (87.0%) in the first year. However, only 63.8% of patients were treated with an HF beta-blocker, and few received MRAs (17.6%). In models accounting for the role of an HF clinic in initiation of these medications, being seen in an HF clinic was independently associated with initiation of new GDMT across all medication classes, with a hazard ratio (95% CI) of 1.54 (1.15-2.06) for any beta-blocker, 2.49 (1.95-3.20) for HF beta-blockers, 1.97 (1.46-2.65) for ACEis/ARBs/ARNIs, and 2.14 (1.49-3.08) for MRAs. CONCLUSIONS: In this population-based study, most patients with newly diagnosed HFrEF received beta-blockers and ACEis/ARBs/ARNIs. GDMT use was higher in patients seen in an HF clinic, suggesting the potential benefit of referral to an HF clinic for patients with newly diagnosed HFrEF.

Effect of hospital-at-home vs. traditional brick-and-mortar hospital care in acutely ill adults: study protocol for a pragmatic randomized controlled trial.

BACKGROUND: Delivering acute hospital care to patients at home might reduce costs and improve patient experience. Mayo Clinic's Advanced Care at Home (ACH) program is a novel virtual hybrid model of "Hospital at Home." This pragmatic randomized controlled non-inferiority trial aims to compare two acute care delivery models: ACH vs. traditional brick-and-mortar hospital care in acutely ill patients. METHODS: We aim to enroll 360 acutely ill adult patients (≥18 years) who are admitted to three hospitals in Arizona, Florida, and Wisconsin, two of which are academic medical centers and one is a community-based practice. The eligibility criteria will follow what is used in routine practice determined by local clinical teams, including clinical stability, social stability, health insurance plans, and zip codes. Patients will be randomized 1:1 to ACH or traditional inpatient care, stratified by site. The primary outcome is a composite outcome of all-cause mortality and 30-day readmission. Secondary outcomes include individual outcomes in the composite endpoint, fall with injury, medication errors, emergency room visit, transfer to intensive care unit (ICU), cost, the number of days alive out of hospital, and patient-reported quality of life. A mixed-methods study will be conducted with patients, clinicians, and other staff to investigate their experience. DISCUSSION: The pragmatic trial will examine a novel virtual hybrid model for delivering high-acuity medical care at home. The findings will inform patient selection and future large-scale implementation. TRIAL REGISTRATION: ClinicalTrials.gov NCT05212077. Registered on 27 January 2022.

Health Literacy in Patients Considering a Left Ventricular Assist Device: Findings From the DECIDE-LVAD Trial.

OBJECTIVE: To assess the interaction of health literacy and a shared intervention concerning decision quality in patients considering the destination therapy of left ventricular assist device (DT LVAD) implantation. BACKGROUND: Evidence is limited for the use of decision aids by patients with low health literacy and with life-threatening illnesses. METHODS: We performed a secondary analysis of the DECIDE-LVAD Trial, a randomized, stepped-wedge trial conducted from 2015-2017 in the United States. The intervention was the integration of a formal shared decision-making intervention. The main outcome was decision quality as measured by LVAD knowledge and values-treatment concordance. Two components of health literacy were measured by the Rapid Estimate of Adult Literacy in Medicine and Subjective Numeracy Scale instruments. RESULTS: Of the 228 patients studied, 44% (n = 101) received the formal shared decision-making intervention, and half had low health literacy. Knowledge of LVAD improved for patients with low literacy in the intervention group compared to the control group: the difference in increased knowledge score was 10.6%; P = 0.04. Values-treatment concordance improved significantly for patients with low literacy in the intervention group compared to the control group: the median improvement in values-treatment correlation coefficient was 0.43; P = 0.03. These benefits were not significant in those with adequate literacy (n = 171). Patients with low numeracy (n = 94) did not show significant improvements in either measure of decision quality, and patients with adequate numeracy (n = 134) showed improvement in LVAD knowledge but not in values-treatment concordance. CONCLUSIONS: Patients considering DT LVAD implantation with low literacy showed improvement in decision quality after the integration of a shared decision-making intervention.

Identifying Patients With Advanced Heart Failure Using Administrative Data.

Objective: To develop algorithms to identify patients with advanced heart failure (HF) that can be applied to administrative data. Patients and Methods: In a population-based cohort of all residents of Olmsted County, Minnesota, with greater than or equal to 1 HF billing code 2007-2017 (n=8657), we identified all patients with advanced HF (n=847) by applying the gold standard European Society of Cardiology advanced HF criteria via manual medical review by an HF cardiologist. The advanced HF index date was the date the patient first met all European Society of Cardiology criteria. We subsequently developed candidate algorithms to identify advanced HF using administrative data (billing codes and prescriptions relevant to HF or comorbidities that affect HF outcomes), applied them to the HF cohort, and assessed their ability to identify patients with advanced HF on or after their advanced HF index date. Results: A single hospitalization for HF or ventricular arrhythmias identified all patients with advanced HF (sensitivity, 100%); however, the positive predictive value (PPV) was low (36.4%). More stringent definitions, including additional hospitalizations and/or other signs of advanced HF (hyponatremia, acute kidney injury, hypotension, or high-dose diuretic use), decreased the sensitivity but improved the specificity and PPV. For example, 2 hospitalizations plus 1 sign of advanced HF had a sensitivity of 72.7%, specificity of 89.8%, and PPV of 60.5%. Negative predictive values were high for all algorithms evaluated. Conclusion: Algorithms using administrative data can identify patients with advanced HF with reasonable performance.