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. 2022 Nov 10;12:19220. doi: 10.1038/s41598-022-23553-7

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Longitudinal measurements of blood parameters in mild and moderate patients who would deteriorate and in those who would not deteriorate. Patients with COVID-19, collected in Sheba Medical Center, were aligned to t = 0 by the day of their first deterioration from a mild or moderate status to a severe status (red), or by the end of follow-up for patients who did not deteriorate (green). Summary boxplots, show 25th, 50th, and 75th percentiles of pooled daily (a) CRP values of 581 continually non-severe and 207 potentially severe patients, (b) LDH values of 591 non-severe and 206 severe patients, (c) absolute neutrophil counts of 595 non-severe and 208 severe patients, (d) NLR values of 595 non-severe and 208 severe patients. Locally Weighted Scatterplot Smoothing (lowess), with 95% confidence intervals are shown in continuous lines and light bands around them. Asterisks represent the level of significance of the differences between the daily status groups, determined by the p-values of the Kruskall-Wallis test, *< 0.05, **< 0.01, ***< 0.001. The test for difference was applied to the values collected at each day, separately (e.g., test whether the values between − 24 h and 0 are different, test whether the values between − 48 and − 24 h are different, etc.).