[Scoring multiple organ failure after severe trauma. Comparison of the Goris, Marshall and Moore scores]

M Grotz1, M von Griensven, M Stalp

  • 1Unfallchirurgische Klinik, Medizinische Hochschule Hannover. grotz@t-online.de

Abstract

Insights

The Moore score is the most precise system for predicting Multiple Organ Failure (MOF) in severely injured patients, offering higher sensitivity and specificity than other MOF scoring systems.

Area of Science:

  • Critical Care Medicine
  • Trauma Surgery
  • Prognostic Scoring Systems

Background:

  • Multiple Organ Failure (MOF) scoring systems are crucial for predicting and defining organ failure in critically ill patients.
  • Comparing the precision of different MOF scoring systems is essential for accurate clinical assessment.

Purpose of the Study:

  • To evaluate and compare the precision of three MOF scoring systems: Goris, Moore, and Marshall.
  • To determine the most accurate MOF scoring system for predicting outcomes in severely injured patients.

Main Methods:

  • Daily ICU data from 301 severely injured patients were collected for 14 days.
  • Three MOF scores (Goris, Moore, Marshall) were calculated, and patients were clinically assessed for MOF daily.
  • Receiver Operating Characteristic (ROC) analysis was used to determine MOF cut-off points, sensitivity, and specificity for each score.

Main Results:

  • The Moore score demonstrated superior performance with 81% sensitivity and 88% specificity in identifying MOF.
  • A Moore score cutoff of >3 points accurately identified MOF in 85% of patients.
  • The Goris and Marshall scores had lower specificity due to the inclusion of parameters like liver and cardiovascular dysfunction, which were less impactful in this cohort.

Conclusions:

  • The Moore score is the preferred system for evaluating MOF in severe trauma due to its high sensitivity and specificity.
  • A Moore score exceeding 3 points reliably indicates the presence of MOF.
  • The Moore score's exclusion of certain parameters (S-GOT, PAH) did not compromise its predictive accuracy in this study.

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