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. 2020 Aug 24;76(2):533–550. doi: 10.1111/all.14496

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© 2020 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.

This article is being made freely available through PubMed Central as part of the COVID-19 public health emergency response. It can be used for unrestricted research re-use and analysis in any form or by any means with acknowledgement of the original source, for the duration of the public health emergency.

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Principal Component Analysis (PCA). Principal Component Analysis (PCA) was used for dimensionality reduction and visualization of the patients. All patients were included in the analysis; parameters including laboratory results on admission, age, and affected lobe numbers were used in the analysis; results are represented by colored dots separated by three groups of severity. Despite no clear separation between the three groups, there was a clear trajectory from "nonsevere" toward "nonsurvived" via " survived severe"