Cluster analysis identifies patients at risk for long-term mortality in community-acquired pneumonia in CAPNETZ

Rationale Community-acquired pneumonia (CAP) remains a disease with high morbidity and mortality. While tools and scores to predict short-term prognosis of CAP, e.g. the CRB65-Score, have been developed, there is urgent need for early identification of patients at risk for adverse mid- or long-term outcome. Here, we report cluster analysis of CAP-patients clinical attributes at hospital admission with subsequent curation of an attribute panel predicting adverse clinical 31-to-180-day outcome.