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Recognizing different COVID-19 subphenotypes—the division of populations of patients into more meaningful subgroups driven by clinical features [6,7]—and their severity characterization may assist clinicians during the clinical course, research efforts, and the surveillance system.
JMIR Public Health Surveill 2022;8(3):e30032
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For a clearer characterization of the clusters, Figure 1 shows a radar chart with the variables (ie, hospital stay, outcome measures, and laboratory tests) that showed statistically significant differences among the clusters and a medium or high effect size (η2>0.06) [36].
A web-based cluster assignment tool, based on the results reported here, can be found online [37].
J Med Internet Res 2021;23(5):e25988
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