To evaluate the influence of the angiotensin-converting enzyme inhibitor, enalapril (2.5 to 40 mg/day), on the prognosis of severe congestive heart failure, defined as New York Heart Association functional class IV, a double-blind study was undertaken in which 253 patients were randomized to receive either placebo (n = 126) or enalapril (n = 127) in addition to conventional treatment, including vasodilators. Follow-up averaged 188 days (range 1 day to 20 months). The reduction in crude mortality within 6 months (primary objective) was 40% in the enalapril-treated group (from 44 to 26%, p = 0.002) and within 1 year 31% (p = 0.001). By the end of the study, 68 subjects in the placebo group and 50 in the enalapril group had died--a reduction of 27% (p = 0.003). The entire reduction in total mortality (50%) was found in patients dying from progressive heart failure, whereas no difference was seen in the incidence of sudden cardiac death. There was a significant improvement in New York Heart Association classification in the enalapril group, together with a reduction in heart size and a reduced requirement for other heart failure medication. It is concluded that the addition of enalapril to conventional therapy in patients with severe congestive heart failure can reduce mortality and improve symptoms. The effect seems to be due to a reduction in death from progression of heart failure.
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http://dx.doi.org/10.1016/s0002-9149(88)80087-0 | DOI Listing |
J Echocardiogr
January 2025
Division of Cardiology, Department of Internal Medicine, Keimyung University Dongsan Medical Center, Keimyung University School of Medicine, 1035 Dalgubeol-Daero, Dalseo-Gu, Daegu, 42601, Republic of Korea.
Background: With the growing number of high-risk pregnant women, echocardiography frequently reveals pericardial effusion (PE). However, the clinical implications of PE are unknown.
Method: We analyzed a cohort of 406 high-risk pregnant women who underwent echocardiography in the third trimester between November 2019 and December 2022.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFTransl Psychiatry
January 2025
Genetic Epidemiology Group, Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
Experiencing a traumatic event may lead to Posttraumatic Stress Disorder (PTSD), including symptoms such as flashbacks and hyperarousal. Individuals suffering from PTSD are at increased risk of cardiovascular disease (CVD), but it is unclear why. This study assesses shared genetic liability and potential causal pathways between PTSD and CVD.
View Article and Find Full Text PDFCardiovasc Diabetol
January 2025
Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Inge Lehmanns Vej 7, Copenhagen, 2100, Denmark.
Background: Glucagon-like peptide-1 receptor agonist (GLP-1RA) treatment reduces cardiovascular events in type 2 diabetes. Yet, the impact of GLP-1RA treatment before ST-segment elevation myocardial infarction (STEMI) on long-term prognosis in patients with type 2 diabetes remains unclear. In patients with STEMI and type 2 diabetes, we aimed to investigate the association between long-term prognosis and GLP-1RA treatment before STEMI.
View Article and Find Full Text PDFBMC Cardiovasc Disord
January 2025
Department of Radiology, Qujing No.1 Hospital, Kirin District Garden Road no. 1, Qujing, 655099, China.
Background: Left ventricular (LV) myocardial contraction patterns can be assessed using LV mechanical dispersion (LVMD), a parameter closely associated with electrical activation patterns. Despite its potential clinical significance, limited research has been conducted on LVMD following myocardial infarction (MI). This study aims to evaluate the predictive value of cardiac magnetic resonance (CMR)-derived LVMD for adverse clinical outcomes and to explore its correlation with myocardial scar heterogeneity.
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