Division of Critical Care Medicine, Department of Pediatrics, OU College of Medicine, Oklahoma City, USA. Correspondence to: Dr Neha Gupta, 1200 Everette Drive, Suite 8305, Oklahoma City, OK 73104, USA.
Division of Gastroenterology, Department of Pediatrics, OU College of Medicine, Oklahoma City, USA.
Indian Pediatr. 2022 Feb 15;59(2):120-124. doi: 10.1007/s13312-022-2442-4. Epub 2021 Sep 22.
To differentiate severe/critical coronavirus disease 2019 (COVID-19) infection from multisystem inflammatory syndrome in children (MIS-C).
Single-center chart review comparing characteristics of children with MIS-C and 'severe/critical' COVID-19 infection. Multivariate logistic regression was performed to create predictive models for predicting MIS-C.
Of 68 patients, 28 (41.2%) had MIS-C while 40 (58.8%) had severe/critical COVID-19 infection. MIS-C patients had a higher prevalence of fever, mucocutaneous, cardiac and gastrointestinal involvement and a lower prevalence of respiratory symptoms (P<0.05). Significantly lower hemoglobin, platelet count, serum electrolytes, and significantly elevated inflammatory and coagulation markers were observed in MIS-C cohort. Upon multivariate logistic regression, the best model included C-reactive protein (CRP), platelet count, gastrointestinal and mucocutaneus involvement and absence of respiratory involvement (performance of 0.94). CRP>40 mg/L with either platelet count <150x109 or mucocutaneous involvement had specificity of 97.5% to diagnose MIS-C.
Elevated CRP, thrombocytopenia and mucocutaneous involvement at presentation are helpful in differentiating MIS-C from severe COVID-19.
区分严重/危重新冠病毒病 2019(COVID-19)感染与儿童多系统炎症综合征(MIS-C)。
单中心图表回顾比较了 MIS-C 患儿和“严重/危重症”COVID-19 感染患儿的特征。采用多变量逻辑回归建立预测 MIS-C 的预测模型。
68 例患儿中,28 例(41.2%)为 MIS-C,40 例(58.8%)为严重/危重症 COVID-19 感染。MIS-C 患儿发热、黏膜皮肤、心脏和胃肠道受累的发生率较高,呼吸道症状的发生率较低(P<0.05)。MIS-C 组的血红蛋白、血小板计数、血清电解质明显较低,炎症和凝血标志物明显升高。多变量逻辑回归后,最佳模型包括 C 反应蛋白(CRP)、血小板计数、胃肠道和黏膜皮肤受累以及无呼吸道受累(效能为 0.94)。CRP>40mg/L 伴血小板计数<150x109 或黏膜皮肤受累具有诊断 MIS-C 的特异性 97.5%。
发病时 CRP 升高、血小板减少和黏膜皮肤受累有助于区分 MIS-C 与严重 COVID-19。