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Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.

Pediatr Cardiol

January 2025

Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.

Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.

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Risk factors for long-term severe tricuspid regurgitation following mitral valve replacement: a retrospective study.

BMC Cardiovasc Disord

January 2025

Department of Cardiology, Xuzhou Central Hospital, No.199 Jiefang South Road, Quanshan District, Xuzhou, 221009, People's Republic of China.

Background: The aim of this study is to identify factors associated with the development of long-term severe tricuspid regurgitation (TR) following mitral valve replacement (MVR).

Methods: A retrospective analysis was conducted involving 308 patients who underwent single-valve MVR at Xuzhou Central Hospital between April 2017 and December 2022. Preoperative color Doppler ultrasound indicated that all patients had either no or mild to moderate tricuspid regurgitation.

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Background: Abnormalities of left ventricular (LV) diastolic function are established independent predictors of heart failure (HF) and mortality.

Objectives: To determine whether the association of diastolic function with all-cause mortality is driven by cardiovascular or non-cardiovascular death and if impaired relaxation mitral inflow filling pattern is a risk marker.

Methods: Diastolic function was graded by the Mayo Clinic algorithm utilizing the well characterized prospective Olmsted County Heart Function Study.

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Background: Advanced critical care echocardiography comprises a specific set of qualitative and quantitative point-of-care echocardiography skills, including a reliable, noninvasive method to measure cardiac output. This technique requires echocardiographic measurement of left ventricular outflow tract (LVOT) diameter and LVOT velocity time integral (VTI). Although there is a demand among critical care fellows to learn these advanced techniques, there are no data describing the acquisition of mastery in these skills.

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With the advancement in imaging technology, ECG-gated cardiac multidetector computed tomography (MDCT) has emerged as a tool for the anatomic evaluation of the pulmonary valve and right ventricular outflow tract (RVOT) in human medicine. Currently, the evaluation of the pulmonary valve relies primarily on echocardiographic examination. However, the bi-dimensional nature of this technique and the location/orientation of the pulmonary valve in the thoracic cavity can pose challenges.

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