Biomedical subjects

James L Januzzi

Publications and source records attributed to James L Januzzi.

3 recordsLinked to original sources

PubMed2026

Racial outcomes in patients with diabetic cardiomyopathy treated with an aldose reductase inhibitor: the ARISE-HF trial.

BACKGROUND: Racial and ethnic differences in diabetic cardiomyopathy (DbCM) exist, with black and Hispanic participants showing poorer health status. It remains unclear whether these differences affect the natural progression of the disease. We aimed to evaluate disease progression in individuals with DbCM, as well as racial differences in the response to AT-001. METHODS: A total of 625 participants with DbCM were randomised to either placebo or AT-001 and followed for 15 months. The primary outcome was change in peak oxygen uptake (peak VO2) and secondary outcomes included Kansas City Cardiomyopathy Questionnaire (KCCQ) and Physical Activity Scale for the Elderly scores. Analyses were stratified by race and ethnicity (black, Hispanic, white). RESULTS: Black and Hispanic participants who received placebo experienced greater declines in peak VO2 (-0.74 and -1.67 mL/kg/min, respectively) compared with white participants (-0.23 mL/kg/min, p=0.005). AT-001 demonstrated a non-statistically significant trend towards slower declines in peak VO2 in black and Hispanic participants (-0.31 and -0.62 mL/kg/min, p=0.29, respectively). Black participants who received placebo had the largest declines in most KCCQ scores. CONCLUSION: Black and Hispanic participants with DbCM experienced faster disease progression, with black participants showing the most pronounced functional and quality of life declines. The effect of AT-001 on peak VO2 changes was not statistically significant with similar effects between racial and ethnic groups (NCT04083339). TRIAL REGISTRATION NUMBER: NCT04083339.

Aged↗

PubMed2026

The effect of zalunfiban on high sensitivity cardiac troponin and the association with clinical outcomes in patients with STEMI.

BACKGROUND: Among individuals with ST-segment elevation myocardial infarction (STEMI), a single subcutaneous injection of the short-acting glycoprotein IIb/IIIa receptor blocker antagonist zalunfiban at first medical contact significantly improved the primary outcome including clinical endpoints. The impact of zalunfiban on Myocardial Infarction (MI) size and association with downstream outcomes remains unclear. METHODS: In a prespecified analysis, we studied results among study participants treated with 2 doses of zalunfiban who had core laboratory measurements concentrations of hs-cTnT. RESULTS: More elevated hs-cTnT concentrations at presentation were associated with less resolution of ST deviation (P = .006) and more frequent Q wave development (P < .001). At coronary angiography more elevated hs-cTnT at presentation was associated with higher thrombus grade and worse epicardial and myocardial perfusion (all P < .05). In multivariable analyses, higher hs-cTnT concentrations at 24 hours were associated with greater adjusted risk for all-cause death (odds ratio [OR] 1.83 per log unit increase; P = .03), cardiovascular death (OR 1.83 per log unit increase; P = .03), heart failure (OR 2.74 per log unit increase; P < .001) or the composite of death and heart failure (P < .001) by 30 days. At 24 hours, those treated with zalunfiban had lower hs-cTnT compared to placebo (P = .04) and across multiples ≥ 10 to ≥ 1,000 times elevation, treatment with zalunfiban resulted in smaller hs-cTnT determined MI size. CONCLUSIONS: Among patients with STEMI, more elevated concentrations of hs-cTnT are associated with worse measures of reperfusion and higher-risk for short-term death or heart failure. A single dose of zalunfiban at first medical contact reduced MI size. TRIAL REGISTRATION: A phase 3 study of zalunfiban in subjects with ST-elevation MI (CELEBRATE); NCT04825743.

Humans↗

PubMed2026

Subgroups and Special Populations in Heart Failure Clinical Trials: Insights From the HFC-ARC Expert Consensus Panel.

In the evolving landscape of heart failure (HF) management, the identification and analysis of subgroups and special populations within clinical trials are crucial for enhancing clinical decision-making, guiding further research, and understanding heterogeneity in study outcomes. This expert consensus document results from the collaborative efforts of the Heart Failure Collaboratory and the Heart Failure Collaboratory Academic Research Consortium, which brought together stakeholders from academia, industry, the U.S. Food and Drug Administration, and patient representatives. The purpose of this assembly was to propose standardized definitions and critical endpoint considerations essential for shaping the design and conduct of clinical trials for drugs and devices in the field of HF. In this context, we propose definitions and endpoints for specific subgroups and special populations in the spectrum of HF. We enhanced the precision, efficacy, and applicability of clinical research and promote more "personalized" approaches to interpretation of clinical trials. Furthermore, we explore the burgeoning field of gene therapy as a promising avenue for addressing the genetic basis of certain cardiomyopathies within these specialized patient groups. We focus especially on methodological considerations for subgroup analyses in large-scale trials, highlighting the importance of proper interpretation of subgroups and best practices for identifying heterogeneity suggestive of differential treatment effects, including when these analyses should be considered hypothesis-generating and requiring subsequent validation. We advocate for a methodical approach to clinical trial design, one that prioritizes the strategic identification of subgroups and employs appropriate statistical methodologies to ensure the reliability and clinical relevance of findings. Through this lens, we envision a pathway toward more personalized and effective treatments for HF, ultimately aiming to improve patient outcomes by leveraging the insights garnered from meticulously designed and comprehensively analyzed clinical trials.

Humans↗