The new injury severity score: better prediction of functionalrecovery after orthopaedic injury

Alasdair George Sutherland, Andrew Thomas Johnston, James Douglas Hutchison

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

Injury Severity Score (ISS) is the most widely used method of assessing severity of injury in blunt trauma. It has been recognized that, by only allowing the score to consider the worst injury for each body system, ISS underestimates the problems of multiple musculoskeletal injuries. The New ISS (NISS) allows the three most severe injuries to be scored, irrespective of region affected, and may give better prediction of functional recovery in these patients.
A prospective cohort study of 200 patients with musculoskeletal injuries, examining the predictive value of ISS and NISS on functional recovery as measured by patient-derived outcome measures (Short Form-36, Sickness Impact Profile, and Musculoskeletal Function Assessment).
NISS was greater than ISS in 34 patients (17%). NISS showed closer correlation with total scores and subscores of the outcomes measures than did ISS (Spearman's rho ranked test, P < 0.05).
NISS, a simple modification from ISS, better predicts functional outcomes in survivors of musculoskeletal trauma, and offers an improvement in the assessment of effectiveness of trauma care delivery.

Original languageEnglish
Pages (from-to)24-27
Number of pages4
JournalValue in Health
Volume9
Issue number1
Early online date18 Jan 2006
DOIs
Publication statusPublished - 27 Jan 2006

Keywords

  • adolescent
  • adult
  • aged
  • female
  • humans
  • injury severity score
  • male
  • middle aged
  • musculoskeletal diseases
  • musculoskeletal system
  • orthopedics
  • pilot projects
  • predictive value of tests
  • prospective studies
  • recovery of function
  • trauma centers
  • treatment outcome
  • nonpenetrating wounds
  • injury
  • assessment instrument
  • sickness impact profile
  • health-status measure
  • care-unit admission

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