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Clinical value of quantitative echocardiographic features in preterm infants with necrotizing enterocolitis.
Sci Rep
January 2025
Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
This study investigated the correlation between quantitative echocardiographic characteristics within 3 days of birth and necrotizing enterocolitis (NEC) and its severity in preterm infants. A retrospective study was conducted on 168 preterm infants with a gestational age of < 34 weeks. Patients were categorized into NEC and non-NEC groups.
View Article and Find Full Text PDFPredictive Value of the DETECT Algorithm for Pulmonary Arterial Hypertension in Systemic Sclerosis: Findings from an Italian Observational Study.
J Clin Med
January 2025
Rheumatology Unit, Department of Precision and Regenerative Medicine Jonian Area (DiPReMeJ), University of Bari "Aldo Moro", 70124 Bari, Italy.
Pulmonary arterial hypertension (PAH) is a complication of systemic sclerosis (SSc), and several screening algorithms have been proposed for the early detection of PAH in SSc. This study aimed to evaluate the predicting values of the DETECT algorithm for SSc-PAH screening in patients with SSc undergoing right heart catheterization (RHC) based on 2015 ESC/ERS echocardiographic criteria in a real-life setting. Patients fulfilling the 2013 ACR/EULAR classification criteria for SSc and with available data for PAH screening with the DETECT algorithm and the 2015 ESC/ERS echocardiographic criteria were retrospectively enrolled from January to June 2017 and then followed for 5 years.
View Article and Find Full Text PDFRevolutionizing Cardiology: The Role of Artificial Intelligence in Echocardiography.
J Clin Med
January 2025
Guthrie Cortland Medical Center, Cortland, NY 13045, USA.
Artificial intelligence (AI) in echocardiography represents a transformative advancement in cardiology, addressing longstanding challenges in cardiac diagnostics. Echocardiography has traditionally been limited by operator-dependent variability and subjective interpretation, which impact diagnostic reliability. This study evaluates the role of AI, particularly machine learning (ML), in enhancing the accuracy and consistency of echocardiographic image analysis and its potential to complement clinical expertise.
View Article and Find Full Text PDFSupra-Normal Ejection Fraction at Hospital Admission Stratifies Mortality Risk in HFpEF Patients Aged ≥ 70 Years.
J Clin Med
January 2025
Division of Internal Medicine, IRCCS MultiMedica, 20123 Milan, Italy.
During the last few years, significant pathophysiological differences between heart failure (HF) patients with "normal" ejection fraction (EF) (50% to 64%) and those with supra-normal EF (≥65%) have been highlighted. However, these distinct EF phenotypes have been poorly investigated in elderly patients aged ≥70 y. Accordingly, the present study aimed at assessing the clinical and echocardiographic characteristics of a retrospective cohort of elderly HFpEF patients (aged ≥ 70 y), categorized on the basis of "normal" EF (50 to 64%) or "supra-normal" EF (≥65%).
View Article and Find Full Text PDFDifferentiating Apical and Basal Left Ventricular Aneurysms Using Sphericity Index: A Clinical Study.
Medicina (Kaunas)
January 2025
Cardiovascular Institute ''Dedinje'', 11040 Belgrade, Serbia.
: Left ventricular aneurysm (LVA) causes geometric changes, including reduced systolic function and a more spherical shape, which is quantified by the sphericity index (SI), the ratio of the short to long axis in the apical four-chamber view. This study aimed to assess SI's value in A-LVA and B-LVA, identify influencing factors, and evaluate its clinical relevance. : This clinical study included 54 patients with post-infarction LVA and used echocardiography to determine LVA locations (A-LVA near the apex and B-LVA in the basal segments), with SI and other echocardiographic measures assessed in both systole and diastole for the entire cohort and stratified by A-LVA and B-LVA groups.
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