感染後2年後のCOVID-19状態の予測モデルの開発と内部検証 - CORFU研究の結果

Dorthe Odyl Klein1,2, Nick Wilmes3,4, Sophie F Waardenburg5,6,7

  • 1Department of Clinical Epidemiology and Medical Technology Assessment (KEMTA), Maastricht University Medical Center+ (MUMC+), P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands. dorthe.klein@mumc.nl.

PubMed
まとめ

新しいモデルは,感染後2年後のCOVID-19状態 (PCC) を予測する. 性別,BMI,初期疾患の重症度,併発性疾患などの要因を用いて,長期COVIDのリスクのある個人を特定します.

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