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. 2021 Aug 9;47(9):995–1008. doi: 10.1007/s00134-021-06495-y

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/.

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Fig. 2 — Time course of physiological variables during ICU stay according to the patient's outcome life status at discharge obtained by a polynomial maximum likelihood multilevel model with a random intercept at the patient level and random slope at the time level (see text for description of the model). a and b Lactate; c and d pH; e and f bilirubin; g and h creatinine. Dots represent data from the overall models, error bars represent 95% confidence interval of the model. Blue color represents patients discharged from ICU while red color represents patients died in ICU. The analysis was performed in two ways: (1) temporal trends were modeled from ICU admission (day 0) up to 30 days or ICU discharge/death (left panels a, c, e, g); (2) the time scale was adjusted by subtracting each patient’s ICU discharge/death time (day 0) back to a maximum of 30 days (right panels b, d, f, h)