GLP-1 RA for cardiometabolic risk reduction in obesity - How do we best describe benefit and value?

How do we assess the overall benefit and value of GLP1-RAs? Current clinical trials often focus narrowly on individual atherosclerotic cardiovascular endpoints like MACE, potentially missing broader GLP-1 RA benefits across multiple comorbidities. Herein, we set out a framework for expanding outcome analyses in large trials that we believe will provide a more holistic understanding of GLP-1 RA benefits across the cardio-kidney-metabolic (CKM) spectrum, guiding patient care, guidelines, and insurance coverage decisions.

Advanced methods for gene network identification and noise decomposition from single-cell data.

Central to analyzing noisy gene expression systems is solving the Chemical Master Equation (CME), which characterizes the probability evolution of the reacting species' copy numbers. Solving CMEs for high-dimensional systems suffers from the curse of dimensionality. Here, we propose a computational method for improved scalability through a divide-and-conquer strategy that optimally decomposes the whole system into a leader system and several conditionally independent follower subsystems. The CME is solved by combining Monte Carlo estimation for the leader system with stochastic filtering procedures for the follower subsystems. We demonstrate this method with high-dimensional numerical examples and apply it to identify a yeast transcription system at the single-cell resolution, leveraging mRNA time-course experimental data. The identification results enable an accurate examination of the heterogeneity in rate parameters among isogenic cells. To validate this result, we develop a noise decomposition technique exploiting time-course data but requiring no supplementary components, e.g., dual-reporters.

Frailty and Metabolic Vulnerability in Heart Failure: A Community Cohort Study.

BACKGROUND: Frailty is common in heart failure (HF) and is associated with death but not routinely captured clinically. Frailty is linked with inflammation and malnutrition, which can be assessed by a novel plasma multimarker score: the metabolic vulnerability index (MVX). We sought to evaluate the associations between frailty and MVX and their prognostic impact. METHODS AND RESULTS: In an HF community cohort (2003-2012), we measured frailty as a proportion of deficits present out of 32 physical limitations and comorbidities, MVX by nuclear magnetic resonance spectroscopy, and collected extensive longitudinal clinical data. Patients were categorized by frailty score (≤0.14, >0.14 and ≤0.27, >0.27) and MVX score (≤50, >50 and ≤60, >60 and ≤70, >70). Cox models estimated associations of frailty and MVX with death, adjusted for Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score and NT-proBNP (N-terminal pro-B-type natriuretic peptide). Uno's C-statistic measured the incremental value of MVX beyond frailty and clinical factors. Weibull's accelerated failure time regression assessed whether MVX mediated the association between frailty and death. We studied 985 patients (median age, 77; 48% women). Frailty and MVX were weakly correlated (Spearman's ρ=0.21). The highest frailty group experienced an increased rate of death, independent of MVX, MAGGIC score, and NT-proBNP (hazard ratio, 3.3 [95% CI, 2.5-4.2]). Frailty improved Uno's c-statistic beyond MAGGIC score and NT-proBNP (0.69-0.73). MVX only mediated 3.3% and 4.5% of the association between high and medium frailty groups and death, respectively. CONCLUSIONS: In this HF cohort, frailty and MVX are weakly correlated. Both independently contribute to stratifying the risk of death, suggesting that they capture distinct domains of vulnerability in HF.

Optimizing outcomes: Impact of palliative care consultation timing in the cardiovascular intensive care unit.

BACKGROUND: ICU patients and their families experience significant stress due to illness severity and prognostic uncertainty, making palliative care (PC) integral for symptom management, family support, and end-of-life care goals. The impact of PC in the Cardiac Intensive Care Unit (CICU) remains unstudied. OBJECTIVE: We explore the impact of early palliative care consultation (PCC) on patient outcomes in the CICU, including mortality, length of stay, and family meeting frequency. METHODS: This retrospective study at MedStar Washington Hospital Center included 209 adult patients admitted to the CICU between December 2021 and June 2022 receiving PCC. We compared outcomes between those receiving early (<72 h) and late (>72 h) PCC, including mortality, length of stay, and family meeting frequency. Statistical analysis included Wilcoxon rank sum tests, Chi-squared tests, Fisher's exact test, and Poisson regression models. RESULTS: The study included 209 patients admitted to the (M age = 68 years, SD = 14; 45 % female; 62 % Black, 30 % White) who received PCC, most (79 %) within 72 h. Early PCC was associated with shorter CICU stays (median, 3 vs. 5.5 days; p = 0.005). Early PCC patients had higher odds of family meetings (IRR=3.59; p < 0.001) and experienced a change in code status sooner (median 1 day vs. 3 days, p < 0.001). Late PCC patients were more likely to undergo tracheostomy (13.6% vs. 2.4 %; p = 0.007), cardioversion (9.1% vs. 1.8 %; p = 0.037), and have PEG tubes placed (13.6% vs. 2.4 %; p = 0.007). CONCLUSIONS: Early PCC in the CICU is associated with shorter CICU stays, fewer procedures, and more frequent family meetings.

Characterization of Myocardial Injury With High-Sensitivity Troponin.

BACKGROUND: High-sensitivity troponin I, cardiac form (hs-cTnI) accelerates the assessment of acute coronary syndrome. Little has been documented about its performance, how it relates to different types of myocardial injury, and its impact on morbidity and mortality. This study sought to expand understanding of hs-cTnI by characterizing types of myocardial injury, the impact of comorbidities, and 30-day outcomes. METHODS: The study retrospectively evaluated 1,975 patients with hs-cTnI levels obtained in the emergency department or inpatient setting from June to September 2020. Troponin was considered elevated if it was higher than the 99th percentile for either sex. Charts were reviewed to determine the presence of myocardial injury. Troponin elevation was adjusted for demographics, comorbidities, and kidney dysfunction. Thirty-day mortality and readmission rates were calculated. RESULTS: Of 1,975 patients, 468 (24%) had elevated hs-cTnI, and 330 (17%) had at least 1 type of myocardial injury, type 2 myocardial infarction being the most frequent. Sensitivity and specificity using the 99th percentile as a cutoff were 99% and 92%, respectively. The average maximum hs-cTnI level was significantly higher for type 1 myocardial infarction (P < .001). Being male, Black, non-Hispanic, and a hospital inpatient were all associated with higher initial and peak hs-cTnI levels (P < .001). Elevated hs-cTnI level, age, heart disease, kidney dysfunction, and inpatient status were predictive of 30-day mortality on multivariate analysis. CONCLUSION: Elevated hs-cTnI levels in emergency department and inpatient settings occurs most commonly because of type 2 myocardial infarction. Maximum hs-cTnI level is associated with the patient's particular type of myocardial injury, certain demographics, and cardiovascular comorbidities, and it may be a predictor of 30-day outcomes.