Differentiating Kawasaki Disease and Multisystem Inflammatory Syndrome in Children Using Blood Composite Scores: Insights into Clinical Outcomes and Predictive Indices.

IF 1.5 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS
Pediatric Cardiology Pub Date : 2025-06-01 Epub Date: 2025-01-28 DOI:10.1007/s00246-025-03785-w
Kadir Ulu, Şengül Çağlayan, Taner Coşkuner, Ebru Oğultekin Vazgeçer, Taliha Öner, Betül Sözeri
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引用次数: 0

Abstract

The study sought to assess the clinical utility of complete blood count-derived composite scores, suggesting their potential as markers of inflammation and disease severity in Kawasaki disease (KD) and multisystem inflammatory syndrome in children (MIS-C) with Kawasaki-like features. This retrospective study analyzed data from 71 KD and 73 MIS-C patients and 70 healthy controls. The KD group showed a higher rate of coronary involvement (26.7% vs. 10.9%), while the MIS-C group had a higher intensive care unit (ICU) admission rate (34.2% vs. 2.8%). Platelet counts, lymphocyte counts, mean platelet volume (MPV), MPV/Lymphocyte (MPVLR), and MPV/Platelet (MPVPR) ratios demonstrated the highest specificities in distinguishing MIS-C than KD (84.5%, 83.1%, 91.1%, 88.7%, and 88.7%, respectively). Monocyte counts, MPV, and MPVPR demonstrated the highest specificities to predictive ICU admission in the MIS-C group (83.3%, 89.6%, and 89.6%, respectively). Lymphocyte counts, platelet/lymphocyte ratio (PLR), neutrophil/lymphocyte ratio (NLR), MPVLR, and Systemic Immune-Inflammation Index (SII) parameters were found to have high negative predictive values for predicting KD patients without coronary artery lesions (CALs) (85.7%, 86.1%, 87.1%, 87.1%, and 85.7%, respectively)., Systemic Inflammation Response Index (SIRI), MPVPR, and CRP were independently predictive of ICU admission in the MIS-C group, and lymphocyte count and IVIG resistance were also identified as significant predictors of CALs in the KD group. NLR, MPVLR, MPVPR, and NPR indices effectively differentiate MIS-C from KD and predict ICU admission in MIS-C. NLR, PLR, MPVLR, and SII are valuable in excluding CALs in KD with high negative predictive values. In addition, SIRI and MPVLR were independent predictors of ICU admission in MIS-C, and lymphocyte count was identified as an independent predictor of CALs in KD.

使用血液综合评分区分儿童川崎病和多系统炎症综合征:对临床结果和预测指标的见解
该研究旨在评估全血细胞计数衍生的综合评分的临床效用,表明它们可能作为川崎病(KD)和具有川崎样特征的儿童多系统炎症综合征(MIS-C)炎症和疾病严重程度的标志物。本回顾性研究分析了71例KD和73例MIS-C患者以及70例健康对照者的数据。KD组冠脉受累率较高(26.7%比10.9%),而MIS-C组重症监护病房(ICU)入院率较高(34.2%比2.8%)。血小板计数、淋巴细胞计数、平均血小板体积(MPV)、MPV/淋巴细胞(MPVLR)和MPV/血小板(MPVPR)比值在区分misc方面比KD具有最高的特异性(分别为84.5%、83.1%、91.1%、88.7%和88.7%)。单核细胞计数、MPV和MPVPR在预测MIS-C组ICU入院方面表现出最高的特异性(分别为83.3%、89.6%和89.6%)。淋巴细胞计数、血小板/淋巴细胞比值(PLR)、中性粒细胞/淋巴细胞比值(NLR)、MPVLR和全身免疫炎症指数(SII)参数对预测无冠状动脉病变(CALs)的KD患者具有很高的阴性预测值(分别为85.7%、86.1%、87.1%、87.1%和85.7%)。在MIS-C组中,全身炎症反应指数(SIRI)、MPVPR和CRP是预测ICU入院的独立指标,而在KD组中,淋巴细胞计数和IVIG耐药性也被认为是预测CALs的重要指标。NLR、MPVLR、MPVPR和NPR指标可有效区分MIS-C和KD,并预测MIS-C的ICU入住情况。NLR、PLR、MPVLR和SII在排除具有高阴性预测值的KD的CALs方面有价值。此外,SIRI和MPVLR是MIS-C患者ICU入院的独立预测因子,淋巴细胞计数被确定为KD患者CALs的独立预测因子。
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来源期刊
Pediatric Cardiology
Pediatric Cardiology 医学-小儿科
CiteScore
3.30
自引率
6.20%
发文量
258
审稿时长
12 months
期刊介绍: The editor of Pediatric Cardiology welcomes original manuscripts concerning all aspects of heart disease in infants, children, and adolescents, including embryology and anatomy, physiology and pharmacology, biochemistry, pathology, genetics, radiology, clinical aspects, investigative cardiology, electrophysiology and echocardiography, and cardiac surgery. Articles which may include original articles, review articles, letters to the editor etc., must be written in English and must be submitted solely to Pediatric Cardiology.
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