CONCLUSIONS
In conclusion, we found it was possible to cluster adult patients
hospitalized with influenza into clinically distinct groups by baseline
characteristics independent of a clinical outcome. Those with
hyperglycaemia and lower oxygen saturation at admission were more likely
to experience adverse events in our cohort, including prolonged
hospitalization. The k-medoids algorithm is a promising approach to
disentangling the heterogeneity surrounding hospital admissions.