Clinical predictors of early death from sepsis

Adnan Javed, Faheem W. Guirgis, Sarah A. Sterling, Michael A. Puskarich, Jennifer Bowman, Taylor Robinson, Alan E. Jones

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Purpose Patients with severe sepsis who experience rapid, early deterioration and death are of particular concern. Our objective was to identify predictors of early death in Emergency Department (ED) patients with severe sepsis. Methods Secondary analysis of two prospective studies of adult ED patients with severe sepsis. The primary outcome was early death, defined as death within 24 h of triage. Results Out of 410 severe sepsis admissions, 20 patients experienced early death. These patients demonstrated significantly higher initial lactate (7.3 versus 3.3 mmol/L, p < 0.001) and modified SOFA (mSOFA) scores (10 vs 6, p < 0.001), were less likely to normalize their lactate (p < 0.001), had lower initial pH (p < 0.001), and more frequently had early positive blood cultures (p = 0.021). Multivariable logistic regression identified initial serum lactate level (OR 1.19, 95% CI 1.06–1.35) and mSOFA score (OR 1.17, 95% CI 1.00–1.36) as independent predictors of early death. A repeat lactate ≥ 5 mmol/L had a sensitivity of 55% and specificity of 89% for early death. There were no significant treatment differences between groups. Conclusion Initial serum lactate and mSOFA score were independent predictors of mortality within 24 h of ED admission in patients with severe sepsis.

Original languageEnglish (US)
Pages (from-to)30-34
Number of pages5
JournalJournal of Critical Care
Volume42
DOIs
StatePublished - Dec 2017
Externally publishedYes

Bibliographical note

Funding Information:
Dr. Guirgis ( K23GM115690 ), Dr. Puskarich ( K23GM113041 ), and Dr. Jones ( R01GM103799 ) have received support from the National Institutes of General Medical Sciences . Dr. Puskarich also receives support from the NIH Loan Repayment Program. The authors have no conflicts of interest to disclose.

Publisher Copyright:
© 2017 Elsevier Inc.

Keywords

  • Organ dysfunction
  • Resuscitation
  • Sepsis
  • Shock

Fingerprint

Dive into the research topics of 'Clinical predictors of early death from sepsis'. Together they form a unique fingerprint.

Cite this