Introduction: Despite earlier evidence, the benefit of long-term #β-blockers after myocardial infarction (MI) in patients with preserved or mildly reduced ejection fraction remains unclear in the modern reperfusion era.Methods: We conducted a PRISMA-guided systematic review and meta-analysis by searching the PubMed, Google Scholar, and Cochrane databases, pooling results using a random effects model with 95%… Continue reading Impact of β-blocker therapy after acute myocardial infarction in patients with preserved ejection fraction: a meta-analysis
Category: Cardiology
Lipid ratios as early screening markers of dyslipidemia in normal-BMI university students: a cross-sectional epidemiologic study
Introduction: This study aimed to determine the prevalence of #dyslipidemia and to assess the predictive performance of lipid ratios, specifically the #Atherogenic Index of Plasma (AIP) and the total #cholesterol (TC) to high-density lipoprotein cholesterol (HDL-C) (TC/HDL) ratio, compared to body mass index (BMI) in identifying dyslipidemia among non-obese male university students.Material and methods: A… Continue reading Lipid ratios as early screening markers of dyslipidemia in normal-BMI university students: a cross-sectional epidemiologic study
Bridging the Gap: Using an Asynchronous E-Learning Module to Improve Internal Medicine Residents’ Confidence and Preparedness in Ambulatory Blood Pressure Monitoring Interpretation
Background: Ambulatory blood #pressure monitoring (ABPM) is considered a reference standard for diagnosing #hypertension and is recommended for out-of-office blood pressure assessment, yet internal medicine residents receive limited training in its interpretation. We conducted a needs assessment to identify gaps in hypertension and ABPM education and developed an asynchronous e-learning module to address these deficiencies.… Continue reading Bridging the Gap: Using an Asynchronous E-Learning Module to Improve Internal Medicine Residents’ Confidence and Preparedness in Ambulatory Blood Pressure Monitoring Interpretation
Influence of sex and heart size on cardiovascular adaptations to 2 years of endurance exercise training in sedentary middle-aged adults
Sedentary #ageing is linked to low cardiorespiratory fitness and the development of a small, stiff #heart - risk factors for heart failure. Endurance exercise training reverses the effects of sedentary ageing on the heart when started in middle age; however, blunted training responses of females have been reported. Differences in baseline cardiac size or exercise-induced… Continue reading Influence of sex and heart size on cardiovascular adaptations to 2 years of endurance exercise training in sedentary middle-aged adults
Machine learning prediction of sudden cardiac death incorporating multiple lipid markers: evidence from the Taiwan Chin Shan community cohort
Background: Sudden cardiac death (SCD) is a major contributor to cardiovascular mortality, but reliable long-term risk prediction in community-based populations remains limited. Machine learning (#ML ) offers potential advantages, yet its application to #SCD prediction remains comparatively limited, particularly in community-based populations.Methods: We used data from the Chin-Shan Community Cardiovascular Cohort (CCCC), a prospective community-based… Continue reading Machine learning prediction of sudden cardiac death incorporating multiple lipid markers: evidence from the Taiwan Chin Shan community cohort
Prior Myocardial Infarction and Cognitive Decline: The REGARDS Cohort
Background: Acute myocardial infarction (#MI ) is associated with subsequent #cognitive decline. Whether the detection of prior MI using routine ECG and self-reported history can identify different trajectories of cognitive decline is uncertain. We sought to determine the association between prior MI and longitudinal cognitive assessments within a national, biracial cohort study.Methods: We included participants… Continue reading Prior Myocardial Infarction and Cognitive Decline: The REGARDS Cohort
A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery
Fluid overload is common after neonatal congenital #cardiac surgery (CCS) and is frequently managed with continuous furosemide infusions requiring iterative dose titration. An interpretable prediction model could support more consistent early postoperative dosing decisions. We hypothesized that a novel, interpretable machine learning approach could accurately predict furosemide dosing decisions in neonates following CCS. We identified… Continue reading A Novel, Interpretable Machine Learning Model Predicts Furosemide Dosing After Congenital Cardiac Surgery
Mechanical load inhibits cancer growth in mouse and human hearts
INTRODUCTIONThe #heart is rarely affected by #cancer ; both primary cardiac tumors and metastases are uncommon despite the high vascularization of the myocardium. The mechanisms underlying this resistance remain unclear.RATIONALEMechanical load has been proposed as a major mechanism halting cardiomyocyte proliferation early after birth, thus limiting the regenerative potential of the adult mammalian heart. We… Continue reading Mechanical load inhibits cancer growth in mouse and human hearts
Predictors and Outcomes of Pulmonary Embolism After Coronary Artery Bypass Grafting
Pulmonary embolism ( #PE ) can be a life-threatening complication following coronary artery bypass grafting (#CABG ). However, the impact of PE on short-term outcomes such as readmission and mortality remains poorly characterized. The Nationwide Readmission Database 2016 to 2021 was queried to identify patients with isolated CABG who were readmitted with PE within 30… Continue reading Predictors and Outcomes of Pulmonary Embolism After Coronary Artery Bypass Grafting
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