Citations

Background: Diagnosis of heart failure with preserved ejection fraction (HFpEF) is challenging due to non-diagnostic imaging outputs and discordant clinical features. Using only a single videoclip from a standard transthoracic echocardiogram (TTE), we developed an artificial intelligence (AI) model to differentiate patients with HFpEF from those without HFpEF. In a separate test population, we assessed the model’s ability to predict cardiac mortality. Methods: A 3-dimensional convolutional neural network was developed and trained on apical 4-chamber videoclips to classify patients with HFpEF (cases) versus without HFpEF (controls). Overall and cardiac mortality were obtained from the National Death Index. Results: The model was independently tested in 646 cases and 638 controls from 8 centers in 4 states. Sensitivity (87.8%; 84.5-90.9%) and specificity (81.9%; 78.2-85.6%) were high and sustained in various subgroups, including increased left atrial volume index, average E/e’ ≥15, and pulmonary artery systolic pressure >35 mm Hg. During follow-up (median [IQR] 3.4 [1.7-6.5] years), 540 patients died. There were 135 cardiac deaths attributable to heart failure (47%), coronary artery disease (41%), valve disease (4%), arrhythmia (4%), and others (5%). Compared to a negative output, all-cause mortality was higher in patients with a positive (HR 2.9 [2.4-3.5]) or uncertain output (HR 1.8 [1.2-2.5]), and cardiac mortality (Figure) was also higher in patients with a positive (HR 7.7 [4.5-13.3]) or uncertain output (HR 3.4 [1.4-8.1]). Cardiac mortality differences according to AI model prediction remained after age adjustment (positive: HR 5.9 [3.3-10.4], p<0.001; uncertain: HR 2.8 [1.2-6.8], p=0.02). Conclusion: A novel AI model to detect HFpEF based on a single routinely acquired TTE videoclip also identifies those at increased risk of cardiac mortality.

Introduction: Common genetic variation has been linked to an increased risk of developing dilated cardiomyopathy (DCM). However, the phenotypic profile, outcomes, and biological mechanisms by which such genetic background may predispose individuals to DCM are still unknown. Hypothesis: The primary objectives of this study were to develop a DCM polygenic risk score (PRS) based on prior case control-DCM GWAS and to apply this PRS to a well clinical characterized general population. Methods: The DCM-PRS was derived from 13 DCM risk alleles that were assayed in an unselected cohort (n=1897) of unrelated Olmsted County residents age >45 years who did not have a history of heart failure (HF) or CM and underwent physical examination, echocardiography, and blood analyses. Results: The entire population was equally divided into quartiles based on the DCM-PRS. No significant differences were present in terms of age (median 62 years) and sex (48% male). However, a significant correlation was detected between the DCM-PRS and left ventricle ejection fraction (LVEF) (Beta: -2.68, p<0.001), LV end-systolic diameter (Beta: 0.22, p<0.001), and LV end-diastolic diameter (Beta: 0.14, p=0.01). During a follow-up of 16 years (IQR: 15-17), 47 subjects developed DCM. Using a 3:1 non-DCM vs DCM matched cohort, a logistic regression analysis, found a significant correlation between median DCM-PRS and DCM development [OR=2.27 (1.06, 4.85), p=0.03]. However, there was no association between the DCM-PRS and HF biomarkers (aldosterone, natriuretic peptides, ST2, Galectin-3). Conclusions: DCM-PRS correlates with decreased LVEF, increased LV dimensions, and DCM development in a general population without significant differences in baseline clinical features. The absence of correlation between the DCM-PRS and available HF biomarkers suggests that this genetic background affects LV traits and DCM development independent of these biological mechanisms.

Introduction: Isolated functional tricuspid regurgitation (FTR) in the absence of structural heart disease may develop secondary to elevation in left heart pressures caused by left ventricular diastolic dysfunction (DD), as in heart failure with preserved ejection fraction (HFpEF). FTR may also herald the presence of occult DD or indicate greater risk for new-onset DD. However, prevalence and incidence of diastolic dysfunction (DD) in isolated FTR have not been studied. Aims: Investigate the prevalence and incidence of DD across the different severities of FTR of unclear cause. Methods: Adults with normal EF and without structural heart disease undergoing echocardiography at a tertiary medical center with a repeat study ≥6 months from baseline were identified. Severe DD was defined by ≥3/4 abnormal DD parameters (medial e’, medial E/e’, tricuspid regurgitation velocity, left atrial volume index) and moderate DD by ≥2. Results: Among 30,428 patients (median age 60; 50% women), FTR was absent in 73%, mild in 22%, moderate in 4%, and severe in 0.4%. Severe DD was present in 2%, 5%, 11%, and 13% patients, respectively, (p<.001) and moderate DD in 9%, 19%, 31%, and 48%, respectively (p<.001). The association of DD with increasing FTR was independent of all clinical characteristics. Over median 3.0 (IQR 1.5-5.4) years, incident severe and moderate DD developed more frequently with increasing FTR severity ( Figure) . Findings were confirmed in a propensity-matched subset where patients were matched for age, sex, BMI, atrial fibrillation, and comorbidities and in patients without lung disease or ≥moderate right ventricular enlargement. Conclusions: Patients with FTR of undefined etiology commonly have DD suggesting the presence of underlying left heart disease. Patients without apparent DD or HF at baseline who have FTR remain at significantly increased risk of developing DD over follow-up and may be a target population for therapies to prevent progression to clinical HFpEF.

Introduction: Tricuspid regurgitation is a common echocardiographic finding leading to excess morbidity and mortality in adult population. Hypothesis: Racial and ethnic disparities have been observed in various cardiovascular disorders’ prevalence and natural course, including valvular lesions. However, little is known about the epidemiology and clinical correlations of TR among non-Hispanic Black adults. Methods: To examine risk factors and clinical outcomes in non-Hispanic Black adults with moderate or more severe TR, 685 patients (7%) self-identified as non-Hispanic Black and 9127 (93%) self-identified as non-Hispanic White with a first echocardiographic report of moderate or more severe TR between 2005-2016 were studied. Results: Non-Hispanic Black patients had more severe TR when compared to white patients (25% vs. 20%, p<0.001). After adjusting for age and sex, non-Hispanic Black patients had significantly higher 10-year all-cause mortality (HR=1.34 (1.18, 1.52), p<0.001). Black race remained a risk factor for all-cause mortality even after adjustment for comorbidities like CHF, COPD, DM, CKD, hypertension, and ischemic heart disease (HR=1.23 (1.08, 1.40), p=0.002). Conclusions: Significant racial disparities exist in demographic, clinical and echocardiographic characteristics between non-Hispanic Black and White patients with moderate or more severe TR. Black race is a potential disease modifier leading to excess mortality.

Introduction: Biomarkers can facilitate the prediction of events in primary prevention. Few studies have been conducted in the community setting with analyses that incorporate many biomarkers. Hypothesis: We tested whether a multi biomarker model would outperform clinical factors and individual biomarkers for predicting MACE and Stroke/MI in subjects without known CAD. Methods: A retrospective cohort study assessed composite outcomes MACE (MI, CABG, PCI, stroke, and death) and Stroke/MI. Cox proportional hazard models were fit for individual biomarkers, adjusted for age, gender, BMI, hypertension, CAD, and GFR. Multi biomarker models were developed based on AIC values from the single-biomarker models. Bootstrap tests compared survival C-statistics and relative Integrated Discrimination Index (IDI). Results: 1131 patients in Olmsted County, MN were studied. Median age was 63.1 years, 97.5% were Caucasian, and 52.2% were female. Median BMI was 27.8. Kaplan Meier rates of MACE and Stroke/MI were 29.2% (CI = 26.5-31.8%) and 12.3% (CI = 10.3% - 14.3%), at 10 years. Adjusted NT proBNP models showed a 31% increased risk of MACE/death (HR = 1.31; CI = 1.17-1.46) and a 31% increased risk for stroke/MI (HR = 1.31; CI = 1.08-1.58). Adjusted Ceramide score models showed a 13% increased risk of MACE/death (HR = 1.13; CI = 1.04-1.24) and a 29% increased risk for stroke/MI (HR = 1.29; CI = 1.11-1.51). NT proBNP and the Ceramide score with clinical factors was better than clinical factors alone for MACE/Death (Relative IDI = 29.7%; p = 0.003) and Stroke/MI (Relative IDI = 36.1%; p = 0.034). This combined model did not outperform the strongest single biomarker model for Stroke/MI or MACE/Death. Other biomarkers were not significant when added to the combined model. Discussion: Ceramide score and NT proBNP alone and together improve the prediction of MACE and Stroke/MI in a community primary prevention cohort.

Abstract Purpose: The 2024 ASHP Pharmacy Forecast identifies and contextualizes emerging issues and trends that will influence healthcare, health systems, and the pharmacy profession and provides recommendations to inform long-term strategic planning that should prompt action by pharmacists and health-system leaders. Methods: Drawing on the “wisdom of crowds” concept, a survey was constructed with 6 general themes, each with 6 to 9 focused statements and a seventh theme on preparedness (58 survey items in total). The size of and representation within the survey panel were intended to capture opinions from a wide range of pharmacy leaders. The survey instructed panelists to consider the likelihood of the events/scenarios described in the statements occurring in the next 5 years as being likely, somewhat likely, somewhat unlikely, or very unlikely. Then, survey panelists assessed the preparedness (from very unprepared to very prepared) for 12 of the statements. Results: The 6 survey themes identified were Urgent Public Health Priorities, Responding to the Mental Health Crisis, Achieving Care Equity, New Disease Paradigms and Treatment Innovations, Workforce: Focus on Culture for the Future, and Artificial Intelligence: Can Ethics and Regulators Catch Up? The survey was completed by 250 respondents, yielding an 88% response rate. Analysis of survey results was provided by chapter authors along with strategic recommendations to guide actions for each theme. Conclusion: The focus of the Pharmacy Forecast is on large-scale, long-term trends that will influence healthcare and the pharmacy profession over months and years and not on day-to-day situational dynamics. The report provides insight to stimulate thinking and discussion and provides a starting point to proactively position leaders, their teams, and departments for potential future events and trends.

Objective Tricuspid regurgitation (TR) is a prevalent valve disease associated with significant morbidity and mortality. We aimed to apply machine learning (ML) to assess risk stratification in patients with ≥moderate TR. Methods Patients with ≥moderate TR on echocardiogram between January 2005 and December 2016 were retrospectively included. We used 70% of data to train ML-based survival models including 27 clinical and echocardiographic features to predict mortality over a 3-year period on an independent test set (30%). To account for differences in baseline comorbidities, prediction was performed in groups stratified by increasing Charlson Comorbidity Index (CCI). Permutation feature importance was calculated using the best-performing model separately in these groups. Results Of 13 312 patients, mean age 72 ± 13 years and 7406 (55%) women, 7409 (56%) had moderate, 2646 (20%) had moderate–severe and 3257 (24%) had severe TR. The overall performance for 1-year mortality by 3 ML models was good, c-statistic 0.74–0.75. Interestingly, performance varied between CCI groups, (c-statistic = 0.774 in lowest CCI group and 0.661 in highest CCI group). The performance decreased over 3-year follow-up (average c-index 0.78). Furthermore, the top 10 features contributing to these predictions varied slightly with the CCI group, the top features included heart rate, right ventricular systolic pressure, blood pressure, diuretic use and age. Conclusions Machine learning of common clinical and echocardiographic features can evaluate mortality risk in patients with TR. Further refinement of models and validation in prospective studies are needed before incorporation into the clinical practice.

Abstract Background/Introduction Hypertension (HTN) and metabolic syndrome (MetS) are both leading risk factors for major cardiovascular diseases, which frequently coexist as a complicated cardiometabolic disorder. The cardiac hormone atrial natriuretic peptide (ANP) plays a key role in both blood pressure and metabolic regulation through activation of the guanylyl cyclase-A receptor (GC-A) and the second messenger 3’,5’ cyclic guanosine monophosphate (cGMP). Indeed, ANP decreases blood pressure, induces lipolysis by increasing plasma levels of non-esterified fatty acids (NEFA) and improves insulin-sensitivity. MANP is a new Mayo Clinic designed natriuretic peptide consisting of the native ANP with a 12-amino-acid C-terminus extension and its biological actions are mediated by the GC-A/cGMP pathway. MANP is less susceptible to neprilysin degradation and exert more sustained cGMP dependent biological actions than ANP. Purpose In a proof-of-principle human study, for the first time we aimed to determine the cardiovascular and metabolic properties of MANP, a novel ANP analog, in the clinical setting of HTN with MetS. Methods We conducted a double-blind, placebo-controlled trial in 22 patients (17 receiving MANP) with HTN and MetS involving single subcutaneous injection of MANP (2.5 µg/kg) or placebo (NCT03781739). Blood pressure (BP) and circulating cGMP were monitored for 24 hours post treatment. Circulating metabolic parameters including insulin, glucose, non-esterified fatty acids (NEFA) and insulin resistance (HOMA-IR) and insulin sensitivity (HOMA-IS) indexes were assessed for the first 4 hours post treatment. Results Compared to baseline, MANP increased plasma cGMP at 30 minutes (delta: 4.8 ± 2.0 pmol/mL, P = 0.02) and 1 hour (delta: 2.9 ± 1.3 pmol/mL, P = 0.03) post injection. At 6 hours, systolic BP decreased by 5.7 ± 2.9 mmHg (P = 0.06) in the MANP group, whereas no reduction in BP was observed in placebo group. Among the 17 subjects receiving MANP, lower baseline cGMP levels were associated with greater mean reductions in systolic BP (ρ = 0.66, P = 0.005). After MANP injection, glucose levels decreased at 2 (delta: -4.7 ± 2.1 mg/mL, P = 0.04) and 4 hours (delta: -13.1 ± 3.9 mg/mL, P = 0.003) compared to baseline while insulin levels remained stable. During the first 4 hours post injection, we also observed a trend of increase in insulin sensitivity index (HOMA2-IS) and decrease in insulin resistance index (HOMA2-IR) with MANP, both were opposite to the trends in placebo. At 1 hour post MANP administration, NEFA increased by 108.2 ± 37.4 µM compared to baseline (P = 0.01). Conclusion(s) Our findings support the favorable cardiovascular and metabolic actions of MANP as a potential therapeutic strategy for HTN with MetS.

Abstract Background Transthyretin amyloid cardiomyopathy (ATTR-CM) is an increasingly recognized cause of heart failure (1,2). 99mTc- pyrophosphate cardiac scintigraphy (PYP) enables accurate, noninvasive diagnosis of ATTR-CM when coupled with appropriate clinical and laboratory evaluations to rule out light chain amyloidosis (3,4). High sensitivity cardiac troponin T (hs-cTnT) is routinely assessed for diagnostic purposes when ATTR-CM is suspected in clinical practice. Purpose To investigate the diagnostic performance of hs-cTnT in patients undergoing PYP for suspected ATTR-CM. Methods Observational study of patients undergoing PYP at a United States (US) cardiac amyloidosis referral center from 2013 to September 2022 and with at least one hs-cTnT value available within 1 year. 3-hour planar imaging followed by single photon-emission computed tomography with computed tomography was performed. Final diagnoses of ATTR-CM were validated using all clinical information. The lowest reportable clinical value for hs-cTnT in the US is &lt;6 ng/L (limit of quantitation). Results A total of 1572 patients underwent PYP and had a hs-cTnT value available within the study period. Of these, ATTR-CM was diagnosed in 475 patients (30%). Median (IQR) hs-cTnT was 48 (31-67) ng/L in patients with ATTR-CM and 26 (13-48) ng/L in those without. The area under the curve of hs-cTnT for the diagnosis of ATTR-CM was 0.69 (0.67-0.72). Among patients with a very low hs-cTnT value, i.e. &lt;6 ng/L (n=100, 6.4% of the overall cohort), 7 (7%) patients had a final ATTR-CM diagnosis while 93 (93%) did not. Therefore, a threshold of &lt;6 ng/L demonstrated a negative predictive value (NPV) of 93% (IQR 88, 98) and a sensitivity of 99% (97, 100) for ruling out ATTR-CM. The highest NPV was achieved with a threshold of 12 ng/L; 269 (17%) patients had hs-cTnT below this value and, of those, only 16 (6%) had a final diagnosis of ATTR-CM. This resulted in a NPV of 94% (91, 97) and a sensitivity of 97% (95, 98) for ruling out ATTR-CM. When considering progressively increasing hs-cTnT values as potential thresholds to aid in the prediction of ATTR-CM (Figure), we observed a progressive increase in specificity (above 90% for hs-cTnT values &gt; 95 ng/L), but the positive predictive value (PPV) remained low (below 50%). Conclusions Among patients undergoing PYP for suspected ATTR-CM at a US referral center, a very low hs-cTnT value was present in a minority of patients but demonstrated good performance in ruling out ATTR-CM. The highest NPV (94%) was achieved with a threshold of &lt; 12 ng/L. Higher hs-cTnT values showed a good specificity, but PPV remained low. Therefore, while a very low hs-cTnT might be of help in identifying those at low risk of ATTR-CM, the ubiquitous presence of increased hs-cTnT in many of these patients suggests the need for a multiparametric diagnostic approach to make the diagnosis.hs-cTnT in patients undergoing PYP scan