Abstract

ABSTRACT Introduction: Kawasaki Disease (KD) is an acute self-limiting systemic vasculitis involving medium and small-sized arteries. It may soon replace rheumatic fever to become the most common cause of acquired heart disease in Indian children. Coronary Artery Aneurysm (CAA) which can develop in 15-25% of untreated children remains the most dreaded complication of KD. Predicting the risk of CAA and taking timely measures can help in reducing the fatality of the condition. Aim: To study the spectrum of cardiovascular complications in patients with KD and also to assess associated risk factors for developing CAA in the patients under study. Materials and Methods: This prospective clinical study was carried out in the Paediatric Medicine Ward, Burdwan Medical College and Hospital, West Bengal, Eastern India, from 1st January, 2020 to 31st May, 2021. Total 52 children diagnosed with KD, aged between one month to 12 years, were included and followed-up for six months. Data regarding demographic variables, duration of fever, Intravenous Immunoglobulin (IVIG) resistance, hepatomegaly, neutrophilia, thrombocytopenia, haematocrit, Erythrocyte Sedimentation Rate (ESR), C-Reactive Protein (CRP), hepatic transaminases (alanine transaminase, aspartate amino-transferase), hyponatremia, hypoalbuminemia, and N-terminal-brain natriuretic peptide (NT-proBNP) were collected. Univariate and multivariate regression analyses were done using these variables for assessment of risk factors. Results: In the present study, out of 52 children, 28 (53.85%) were males and 24 (46.15%) were females with mean age of 3.74±2.55 years. Cardiovascular complications were observed in 27 (51.92%) patients, of whom 19 (35.54%) had CAA. Duration of fever ≥10 days, IVIG resistance, thrombocytopenia, low hematocrit, Alanine Transaminase (ALT) ≥100 U/L, hypoalbuminemia, and raised NT-proBNP were proven to be significant risk factors for development of CAA on univariate analysis. Thrombocytopenia and raised NT-proBNP came across as significant on binary logistic regression analysis. Conclusion: In this study, one or more types of cardiovascular abnormalities were present in 51.92% cases. Seven risk factors were identified to be significant in development of CAA on univariate analysis and among them two were proven significant in binary logistic regression.

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