Measuring anatomic severity of disease in emergency general surgery

Shahid Shafi, Michel Aboutanos, Carlos Vidal Ribas Brown, David Ciesla, Mitchell J. Cohen, Marie L. Crandall, Kenji Inaba, Preston R. Miller, Nathan T. Mowery

Research output: Contribution to journalArticlepeer-review

95 Scopus citations

Abstract

BACKGROUND: Currently, there is no established system for assessing disease severity in emergency general surgery (EGS) patients. The purpose of this project was to develop a uniform grading system for measuring anatomic severity of disease in this patient population. METHODS: The Committee on Patient Assessment and Outcomes of the American Association for the Surgery of Trauma developed a proposal by consensus of experts for grading severity of EGS diseases. It was then reviewed and approved by the Board of Managers of the American Association for the Surgery of Trauma. RESULTS: A uniform grading system for measuring anatomic severity of disease in EGS is described, with specific grades for eight commonly encountered gastrointestinal conditions. These grades range from Grade I through Grade V, reflecting an escalating clinical progression from mild disease limited within the organ itself to severe disease that is widespread. CONCLUSION: This article provides a unified grading system for measuring anatomic severity of disease that is essential to advance the science of EGS. Once validated, a description of disease grade should be included in the emerging EGS registries and in research studies involving EGS patients.

Original languageEnglish (US)
Pages (from-to)884-887
Number of pages4
JournalJournal of Trauma and Acute Care Surgery
Volume76
Issue number3
DOIs
StatePublished - Mar 2014

Keywords

  • Grading
  • Patient outcomes
  • Quality of care
  • Scoring
  • Staging

ASJC Scopus subject areas

  • Surgery
  • Critical Care and Intensive Care Medicine

Fingerprint

Dive into the research topics of 'Measuring anatomic severity of disease in emergency general surgery'. Together they form a unique fingerprint.

Cite this