Multisystem Inflammatory Syndrome in Children associated with COVID-19 infection attracted attention because some features overlapped with Kawasaki disease. And due to these overlapping features with Kawasaki disease, it has become difficult to diagnose both disorders. Therefore, this study focused on the differences between the patients diagnosed with MIS-C after COVID-19 and Kawasaki patients analyzed, particularly during the pre-pandemic period. In this way, it is aimed to reduce the dilemmas experienced in Diagnosis. In this descriptive study, 98 patients diagnosed with MIS-C throughout the pandemic were compared to 37 patients diagnosed with Kawasaki Disease during the pre-pandemic period.The patients in the MIS-C group were older children and clinically suffered from more headaches, vomiting, diarrhea, abdominal pain, and chest pain than Kawasaki patients. Signs of shock such as hypotension and tachycardia were more remarkable. Also, myocarditis and mitral regurgitation were detected at a higher rate in the MIS-C group. Besides, in the laboratory, lymphopenia, hypoalbuminemia, and creatinine elevation were more apparent.In conclusion, our present study findings support that although the MIS-C and Kawasaki share common features, they present with different clinical and laboratory features. And these differences are thought to be supportive in treatment and patient management.
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http://dx.doi.org/10.1007/s00246-022-02961-6 | DOI Listing |
Clin Exp Nephrol
January 2025
Kawasaki Medical School, Department of Nephrology and Hypertension, Kurashiki, Japan.
Background: Chronic kidney disease (CKD) represents a significant public health challenge, with rates consistently on the rise. Enhancing kidney function prediction could contribute to the early detection, prevention, and management of CKD in clinical practice. We aimed to investigate whether deep learning techniques, especially those suitable for processing missing values, can improve the accuracy of predicting future renal function compared to traditional statistical method, using the Japan Chronic Kidney Disease Database (J-CKD-DB), a nationwide multicenter CKD registry.
View Article and Find Full Text PDFInt J Rheum Dis
January 2025
Pediatric Allergy Immunology Unit, Advanced Pediatrics Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Regen Ther
March 2025
Department of Physiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo 160-8582, Japan.
Introduction: Tau protein plays a pivotal role in the pathogenesis of Alzheimer's disease (AD) and in regulating neuronal excitability. Among tau-coding microtubule associated protein tau () gene mutations, the A152T mutation is reported to increase the risk of AD and neuronal excitability in mouse models.
Methods: To investigate the effects of gene expression and its mutations on neuronal activity in human neurons, we employed genome editing technology to introduce the A152T or P301S mutations into induced pluripotent stem cells (iPSCs).
CEN Case Rep
January 2025
Division of Nephrology and Hypertension, Department of Internal Medicine, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Yokohama, Japan.
Reports of glomerulonephritis associated with lymphoproliferative disorders are common, but reports of minimal change disease (MCD) accompanying non-Hodgkin's lymphoma are rare. Here, we present a case of a 45-year-old woman diagnosed with primary Waldenström's macroglobulinemia (WM) during MCD treatment. Her kidney biopsy revealed endothelial cell injury in parts of the MCD.
View Article and Find Full Text PDFClin Rheumatol
January 2025
Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, 250012, China.
Objective: We aimed to develop a useful nomogram for early identification of Kawasaki disease (KD) children at a high risk of intravenous immunoglobulin (IVIG) resistance and coronary artery lesion (CAL) complications to improve KD management.
Methods: Clinical data from 400 patients treated at our hospital between January 1, 2016, and December 31, 2023, were collected. Lasso regression was utilized to screen risk factors for IVIG resistance and CAL involvement.
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