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.