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Comment & Response
October 8, 2019

Identifying Sepsis Phenotypes

Author Affiliations
  • 1Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
JAMA. 2019;322(14):1416-1417. doi:10.1001/jama.2019.12591

To the Editor Although the analysis of novel clinical phenotypes for sepsis1 provided a thorough and effective examination of measures in a number of clinical domains, we believe that it did not sufficiently explore the data domain of disease comorbidities. A key component of phenotype, and the physician’s evaluation, involves medical history, and this information, including the interrelationships between comorbidities, must be considered in the development of phenotypes. Newer computational methods offer the opportunity to see the patterns of relationships of disease comorbidities in a more complete and lifelong way than prior comorbidity stratification schema such as the Elixhauser comorbidity index.2