Tajima Miyu, Shiozawa Yusuke, Kagawa Jiro
Department of Cardiology, University of Tokyo, Tokyo, Japan,
Pediatr Cardiol. 2015 Aug;36(6):1159-65. doi: 10.1007/s00246-015-1136-2. Epub 2015 Mar 10.
It is difficult to accurately predict treatment resistance in Kawasaki disease (KD). Patients considered to be low-risk cases often develop resistance to intravenous immunoglobulin (IVIG). We herein examined whether information from the clinical course of KD could improve the prediction accuracy of a previously reported risk score. We retrospectively reviewed the clinical records of 100 KD patients. The clinical characteristics and laboratory data were compared between IVIG-sensitive and IVIG-resistant patients and also between patients with and without coronary artery aneurysm (CAA). The total incidence of IVIG resistance and CAA development was 34 and 13 %, respectively. Multiple regression analysis identified the early appearance of principal symptoms (≤day 2 of the illness) as a risk factor for IVIG resistance (OR 2.88, 95 % CI 1.11-7.44, p = 0.0041), whereas delayed IVIG administration (≥day 6) (OR 2.23, 95 % CI 0.66-7.64, p = 0.018) and IVIG resistance (OR 9.05, 95 % CI 2.27-36.10, p = 0.015) were independent predictors for CAA development. The addition of the first appearance day of principal symptoms into a previously reported scoring system improved its prediction accuracy for IVIG resistance. KD patients who had presented with any principal symptoms within 2 days of fever onset were at a high risk for IVIG resistance regardless of previously reported risk score. A careful medical history-taking that is focused on the clinical course enables a better prediction of IVIG resistance.
准确预测川崎病(KD)的治疗抵抗性具有一定难度。被认为是低风险病例的患者常常会对静脉注射免疫球蛋白(IVIG)产生抵抗。我们在此研究了来自KD临床病程的信息是否能提高先前报道的风险评分的预测准确性。我们回顾性分析了100例KD患者的临床记录。比较了IVIG敏感型和IVIG抵抗型患者之间以及有和无冠状动脉瘤(CAA)患者之间的临床特征和实验室数据。IVIG抵抗和CAA发生的总发生率分别为34%和13%。多元回归分析确定主要症状的早期出现(疾病≤第2天)是IVIG抵抗的一个危险因素(比值比2.88,95%可信区间1.11 - 7.44,p = 0.0041),而IVIG延迟给药(≥第6天)(比值比2.23,95%可信区间0.66 - 7.64,p = 0.018)和IVIG抵抗(比值比9.05,95%可信区间2.27 - 36.10,p = 0.015)是CAA发生的独立预测因素。将主要症状的首次出现日期添加到先前报道的评分系统中可提高其对IVIG抵抗的预测准确性。发热开始2天内出现任何主要症状的KD患者,无论先前报道的风险评分如何,都有发生IVIG抵抗的高风险。专注于临床病程的仔细病史采集能够更好地预测IVIG抵抗。