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Data-driven Clustering Identifies Features Distinguishing Multisystem Inflammatory Syndrome from Acute COVID-19 in Children and Adolescents

Alon Geva,Manish M. Patel,Margaret M. Newhams,Cameron C. Young,Mary Beth F. Son,Michele Kong,Aline B. Maddux,Mark W. Hall,Becky J. Riggs,Aalok R. Singh,John S. Giuliano,Charlotte Hobbs,Laura L. Loftis,Gwenn E. McLaughlin,Stephanie P. Schwartz,Jennifer E. Schuster,Christopher J. Babbitt,Natasha B. Halasa,Shira J. Gertz,Sule Doymaz,Janet R. Hume,Tamara T. Bradford,Katherine Irby,Christopher L. Carroll,John K. McGuire,Keiko M. Tarquinio,Courtney M. Rowan,Elizabeth H. Mack,Natalie Z. Cvijanovich,Julie C. Fitzgerald,Philip C. Spinella,Mary A. Staat,Katharine N. Clouser,Vijaya L. Soma,Heda Dapul,Mia Maamari,Cindy Bowens,Kevin M. Havlin,Peter M. Mourani,Sabrina M. Heidemann,Steven M. Horwitz,Leora R. Feldstein,Mark W. Tenforde,Jane W. Newburger,Kenneth D. Mandl,Adrienne G. Randolph

EClinicalMedicine（2021）

引用 30|浏览38
关键词
COVID-19,Multisystem inflammatory syndrome,Pediatrics,Critical care medicine,Clustering
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