4.6 Article

Phenotypic clusters within sepsis-associated multiple organ dysfunction syndrome

Journal

INTENSIVE CARE MEDICINE
Volume 41, Issue 5, Pages 814-822

Publisher

SPRINGER
DOI: 10.1007/s00134-015-3764-7

Keywords

Sequential organ failure assessment (SOFA); Sepsis; Multiple organ dysfunction syndrome (MODS); Cluster analysis; Phenotyping; Intensive Care Unit outcomes research

Funding

  1. National Institute of General Medical Sciences [1K23GM094465]
  2. Intermountain Research and Medical Foundation

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Sepsis is a devastating condition that is generally treated as a single disease. Identification of meaningfully distinct clusters may improve research, treatment and prognostication among septic patients. We therefore sought to identify clusters among patients with severe sepsis or septic shock. We retrospectively studied all patients with severe sepsis or septic shock admitted directly from the emergency department to the intensive care units (ICUs) of three hospitals, 2006-2013. Using age and Sequential Organ Failure Assessment (SOFA) subscores, we defined clusters utilizing self-organizing maps, a method for representing multidimensional data in intuitive two-dimensional grids to facilitate cluster identification. We identified 2533 patients with severe sepsis or septic shock. Overall mortality was 17 %, with a mean APACHE II score of 24, mean SOFA score of 8 and a mean ICU stay of 5.4 days. Four distinct clusters were identified; (1) shock with elevated creatinine, (2) minimal multi-organ dysfunction syndrome (MODS), (3) shock with hypoxemia and altered mental status, and (4) hepatic disease. Mortality (95 % confidence intervals) for these clusters was 11 (8-14), 12 (11-14), 28 (25-32), and 21 (16-26) %, respectively (p < 0.0001). Regression modeling demonstrated that the clusters differed in the association between clinical outcomes and predictors, including APACHE II score. We identified four distinct clusters of MODS among patients with severe sepsis or septic shock. These clusters may reflect underlying pathophysiological differences and could potentially facilitate tailored treatments or directed research.

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