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Quantitative study—other
A decision tree incorporating biomarkers and patient characteristics estimates mortality risk for adults with septic shock
  1. Michael Puskarich
  1. Emergency Medicine, University of Mississippi, Jackson, Mississippi, USA
  1. Correspondence to : Dr Michael Puskarich, Emergency Medicine, University of Mississippi, 2500 N State Street, Jackson, Mississippi 39216, USA; mpuskarich{at}

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Commentary on: OpenUrlCrossRefPubMedWeb of Science

Implications for practice and research

  • Wong and colleagues’ study improves on current risk stratification models for sepsis.

  • The study's findings may lead to more homogeneous patient populations enrolled into clinical trials, increasing the chance of successful development of novel therapies for sepsis.

  • There are no immediate practice implications, due to clinically unavailable biomarker tests and a cumbersome algorithm.


Sepsis clinical trials have a history of failure, at least partially due to a tendency to enroll heterogeneous patient groups with mortality rates ranging from 20% to 50%.1 ,2 Current risk stratification models suffer from relatively modest predictive values.3


This was a prospective observational study designed to improve prognostic accuracy for prediction of 28-day mortality in patients with sepsis. An …

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  • Competing interests None.