Kawasaki disease is an acute systemic vasculitis that predominantly affects preschool-aged children. It has a predilection to coronary arteries, and its precise etiology is still unknown. Many infectious agents, including viruses and bacteria, have been suggested as potential causes of the disease. Here, we report a patient who met the diagnostic criteria of Kawasaki disease during concomitant Epstein-Barr virus and varicella-zoster virus infections, and we discuss the possible roles of these viruses in etiology.
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Development and Validation of KCPREDICT: A Deep Learning Model for Early Detection of Coronary Artery Lesions in Kawasaki Disease Patients.
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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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Department of Pediatrics, Sichuan Provincial Women's and Children's Hospital/Affiliated Women's and Children's Hospital of Chengdu Medical College, Chengdu 610045, China.
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