| Literature DB >> 31734766 |
Goshgar Mammadov1, Hui Hui Liu1, Wei Xia Chen1, Guo Zhen Fan1, Rui Xue Li1, Fei Fei Liu1, Sama Samadli1, Jing Jing Wang1, Yang Fang Wu1, Huang Huang Luo1, Dong Dong Zhang1, Wei Wei1, Peng Hu2.
Abstract
Coronary artery abnormalities (CAAs) are prominent during the acute Kawasaki disease (KD) episode and represent the major contributors to the long-term prognosis. Several meta-analysis and published scoring systems have identified hepatic dysfunction as an independent predictor of CAA risks. The medical records of 210 KD children were reviewed. Blood samples were collected from all subjects at 24 h pre-therapy and 48 h post-therapy, respectively. Liver function test (LFT) and inflammatory mediators were detected. Multivariate logistic regression analysis was conducted to identify the reliable biomarkers predicting whether CAAs existed or not in KD patients. 90.95% of KD patients had at least 1 abnormal LFT. Hypoalbuminemia was the most prevalent type of hepatic dysfunction, followed by elevated aspartate aminotransferase, low TP, low A/G and hyperbilirubinemia, respectively. The elevated inflammatory mediators (procalcitonin and C-reactive protein) and moderate dose of aspirin played a synthetic role in hepatic dysfunction secondary to KD. However, LFT presented no significant differences between infectious and noninfectious conditions. By a multivariate analysis, a lower albumin/globulin ratio (A/G, OR 13.50, 95% CI 3.944-46.23) served as an independent predictor of CAAs and had a sensitivity of 56.25%, and a specificity of 61.11% at a cutoff value of < 1.48. In conclusion, hepatic dysfunction is a common complication during the acute KD episode, characterized by elevated serum liver enzymes, hypoalbuminemia and hyperbilirubinemia. Systemic inflammation and aspirin, rather than infectious agents, are both the major contributors of hepatic dysfunction secondary to KD. A lower A/G serves as an independent predictor of CAAs.Entities:
Keywords: Coronary artery abnormalities; Hepatic dysfunction; Hypoalbuminemia; Kawasaki disease; Multivariate analysis
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Year: 2019 PMID: 31734766 DOI: 10.1007/s10238-019-00596-1
Source DB: PubMed Journal: Clin Exp Med ISSN: 1591-8890 Impact factor: 3.984