Kawasaki Disease (KD) is a systemic autoimmune vasculitis that affects small and medium sized vessels. Main complication of Kawasaki Disease is coronary artery aneurism, which has higher risk in case of delayed diagnosis and treatment. Although, complete and incomplete KD cases in different types of immune deficiency diseases have been presented up to date, clinical course of KD in patients with hypogammaglobulinemia (HG) has not been reported. Herein, a case diagnosed as incomplete KD in a child with transient HG of infancy has been reported. Previously reported cases with KD and immunedeficiency have also been summarized. Recurrent infections in case of immunedeficiency may mask KD disease resulting in delay in diagnosis and increased risk of complication. KD should be kept in mind in immunedeficient patients in case of prolonged fever.
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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, Third People's Hospital of Longgang District of Shenzhen, Shenzhen, Guangdong 518020, China.
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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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