Development of a Model to Identify Febrile Children at Low Risk for Multisystem Inflammatory Syndrome

Author:

Lubell Tamar R.1,Gorelik Mark2,Abel Dori3,Fischer Avital M.,Apfel Gabriel4,Ryan Katherine1,Wang Tian5,Anderson Brett R.6,Farooqi Kanwal M.6,Dayan Peter S.1

Affiliation:

1. Division of Pediatric Emergency Medicine, Department of Emergency Medicine, Columbia University Vagelos College of Physicians and Surgeons

2. Division of Allergy and Immunology, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian, New York, NY

3. Division of Rheumatology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA

4. Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian

5. Department of Biostatistics, Mailman School of Public Health, Columbia University

6. Department of Pediatrics, Division of Pediatric Cardiology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian, New York, NY.

Abstract

Objectives The case definition for multisystem inflammatory syndrome in children (MIS-C) is broad and encompasses symptoms and signs commonly seen in children with fever. Our aim was to identify clinical predictors that, independently or in combination, identify febrile children presenting to the emergency department (ED) as low risk for MIS-C. Methods We conducted a retrospective single-center study of otherwise healthy children 2 months to 20 years of age presenting to the ED with fever and who had a laboratory evaluation for MIS-C between April 15, 2020, and October 31, 2020. We excluded children with a diagnosis of Kawasaki disease. Our outcome was an MIS-C diagnosis defined by the Centers for Disease Control and Prevention criteria. We conducted multivariable logistic regression analyses to identify variables independently associated with MIS-C. Results Thirty-three patients with and 128 patients without MIS-C were analyzed. Of those with MIS-C, 16 of 33 (48.5%) had hypotension for age, signs of hypoperfusion, or required ionotropic support. Four variables were independently associated with the presence of MIS-C; known or suspected SARS CoV-2 exposure (adjusted odds ratio [aOR], 4.0; 95% confidence interval [CI], 1.4–11.9) and the following 3 symptoms and signs: abdominal pain on history (aOR, 4.8; 95% CI, 1.7–15.0), conjunctival injection (aOR, 15.2; 95% CI, 5.4–48.1), and rash involving the palms or soles (aOR, 12.2; 95% CI, 2.4–69.4). Children were at low risk of MIS-C if none of the 3 symptoms or signs were present (sensitivity 87.9% [95% CI, 71.8–96.6]; specificity 62.5% [53.5–70.9], negative predictive value 95.2% [88.3–98.7]). Of the 4 MIS-C patients without any of these 3 factors, 2 were ill-appearing in the ED and the other 2 had no cardiovascular involvement during their clinical course. Conclusions A combination of 3 clinical symptoms and signs had moderate to high sensitivity and high negative predictive value for identifying febrile children at low risk of MIS-C. If validated, these factors could aid clinicians in determining the need to obtain or forego an MIS-C laboratory evaluation during SARS-CoV-2 prevalent periods in febrile children.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine,Emergency Medicine,Pediatrics, Perinatology and Child Health

Reference27 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3