| Literature DB >> 32468086 |
Elie Azoulay1, Lara Zafrani2, Adrien Mirouse2, Etienne Lengliné2, Michael Darmon2, Sylvie Chevret2.
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Year: 2020 PMID: 32468086 PMCID: PMC8830032 DOI: 10.1007/s00134-020-06120-4
Source DB: PubMed Journal: Intensive Care Med ISSN: 0342-4642 Impact factor: 17.440
Fig. 1Patients’ characteristics and results of the hierarchical clustering disclose three distinct clusters. a Patient’s characteristics at the time of ICU admission. b Principal Components Analysis of parameters available at ICU admission. c Factor map showing the distribution of each patient in each cluster