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Use of the modified early warning score and serum lactate to prevent cardiopulmonary arrest in hematology-oncology patients: a quality improvement study.

Abstract
This process improvement project aimed to improve the early identification of clinically deteriorating hematology-oncology patients in order to prevent the development of critical illness and to facilitate timely intensive care unit (ICU) transfers. Using failure modes and effects analysis, a protocol employing the Modified Early Warning Score and serum lactate level was implemented to identify deteriorating patients who required the attention of the rapid response team. Control charts revealed a significant decrease in codes and preventable codes, while ICU transfers remained stable. A retrospective analysis to control for age, sex, race, severity of illness, and do not resuscitate status was performed, yielding a codes odds ratio of 0.51 (95% confidence interval = 0.31-0.85) and a preventable codes odds ratio of 0.25 (95% confidence interval = 0.07-0.82). At the study team's institution, implementation of this protocol reduced codes and preventable codes without an associated increase in ICU transfers.
AuthorsRobert S Young, Barbara H Gobel, Mark Schumacher, Jungwha Lee, Charlotta Weaver, Sigmund Weitzman
JournalAmerican journal of medical quality : the official journal of the American College of Medical Quality (Am J Med Qual) 2014 Nov-Dec Vol. 29 Issue 6 Pg. 530-7 ISSN: 1555-824X [Electronic] Netherlands
PMID24202295 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, P.H.S.)
Copyright© 2013 by the American College of Medical Quality.
Chemical References
  • Biomarkers
  • Lactic Acid
Topics
  • Biomarkers (blood)
  • Early Diagnosis
  • Female
  • Healthcare Failure Mode and Effect Analysis
  • Heart Arrest (prevention & control)
  • Hematologic Diseases (complications)
  • Hospital Rapid Response Team
  • Humans
  • Intensive Care Units
  • Lactic Acid (blood)
  • Male
  • Middle Aged
  • Neoplasms (complications)
  • Patient Transfer
  • Quality Improvement
  • Retrospective Studies
  • Severity of Illness Index

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