Identifying patients at high risk of surgical wound infection: A simple multivariate index of patient susceptibility and wound contamination

Robert W. Haley, David H. Culver, W. Meade Morgan, John W. White, T. Grace Emori, Thomas M. Hooton

Research output: Contribution to journalArticle

549 Citations (Scopus)

Abstract

To predict the likelihood that a patient will develop a surgical wound infection from several risk factors, the authors used information collected on 58,498 patients undergoing operations in 1970 to develop a simple multivariate risk index. Analyzing 10 risk factors with stepwise multiple logistic regression tech niques, they developed a model combining information on four of the risk factors to predict a patient's probability of getting a surgical wound infection. Then, with information collected on another sample of 59,352 surgical patients admitted in 1975-1976, the validity of this index as a predictor of surgical wound infection risk was verified. With the simplified index, a subgroup, consisting of half the surgical patients, can be identified in whom 90% of the surgical wound infections will develop. By the inclusion of factors measuring therisk due to the patient's susceptibility as well as that due to the level of wound contamination, the simplified index predicts surgical wound infection risk about twice as well as the traditional classification of wound contamination (Goodman-Kruskal G=0.67 vs. 0.36, p<0.0001). Use of this new index might substantially increase the efficiency of routine surgical wound infection surveillance and control.

Original languageEnglish (US)
Pages (from-to)206-215
Number of pages10
JournalAmerican Journal of Epidemiology
Volume121
Issue number2
StatePublished - Feb 1985

Fingerprint

Surgical Wound Infection
Wounds and Injuries
Infection Control
Logistic Models

Keywords

  • Costs and cost analysis
  • Cross infection
  • Health services research
  • Health surveys
  • Sampling studies
  • Surgical wound infection

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Epidemiology

Cite this

Identifying patients at high risk of surgical wound infection : A simple multivariate index of patient susceptibility and wound contamination. / Haley, Robert W.; Culver, David H.; Morgan, W. Meade; White, John W.; Emori, T. Grace; Hooton, Thomas M.

In: American Journal of Epidemiology, Vol. 121, No. 2, 02.1985, p. 206-215.

Research output: Contribution to journalArticle

Haley, Robert W. ; Culver, David H. ; Morgan, W. Meade ; White, John W. ; Emori, T. Grace ; Hooton, Thomas M. / Identifying patients at high risk of surgical wound infection : A simple multivariate index of patient susceptibility and wound contamination. In: American Journal of Epidemiology. 1985 ; Vol. 121, No. 2. pp. 206-215.
@article{461a9cfca6d04bdd91b7d75baf7d6fda,
title = "Identifying patients at high risk of surgical wound infection: A simple multivariate index of patient susceptibility and wound contamination",
abstract = "To predict the likelihood that a patient will develop a surgical wound infection from several risk factors, the authors used information collected on 58,498 patients undergoing operations in 1970 to develop a simple multivariate risk index. Analyzing 10 risk factors with stepwise multiple logistic regression tech niques, they developed a model combining information on four of the risk factors to predict a patient's probability of getting a surgical wound infection. Then, with information collected on another sample of 59,352 surgical patients admitted in 1975-1976, the validity of this index as a predictor of surgical wound infection risk was verified. With the simplified index, a subgroup, consisting of half the surgical patients, can be identified in whom 90{\%} of the surgical wound infections will develop. By the inclusion of factors measuring therisk due to the patient's susceptibility as well as that due to the level of wound contamination, the simplified index predicts surgical wound infection risk about twice as well as the traditional classification of wound contamination (Goodman-Kruskal G=0.67 vs. 0.36, p<0.0001). Use of this new index might substantially increase the efficiency of routine surgical wound infection surveillance and control.",
keywords = "Costs and cost analysis, Cross infection, Health services research, Health surveys, Sampling studies, Surgical wound infection",
author = "Haley, {Robert W.} and Culver, {David H.} and Morgan, {W. Meade} and White, {John W.} and Emori, {T. Grace} and Hooton, {Thomas M.}",
year = "1985",
month = "2",
language = "English (US)",
volume = "121",
pages = "206--215",
journal = "American Journal of Epidemiology",
issn = "0002-9262",
publisher = "Oxford University Press",
number = "2",

}

TY - JOUR

T1 - Identifying patients at high risk of surgical wound infection

T2 - A simple multivariate index of patient susceptibility and wound contamination

AU - Haley, Robert W.

AU - Culver, David H.

AU - Morgan, W. Meade

AU - White, John W.

AU - Emori, T. Grace

AU - Hooton, Thomas M.

PY - 1985/2

Y1 - 1985/2

N2 - To predict the likelihood that a patient will develop a surgical wound infection from several risk factors, the authors used information collected on 58,498 patients undergoing operations in 1970 to develop a simple multivariate risk index. Analyzing 10 risk factors with stepwise multiple logistic regression tech niques, they developed a model combining information on four of the risk factors to predict a patient's probability of getting a surgical wound infection. Then, with information collected on another sample of 59,352 surgical patients admitted in 1975-1976, the validity of this index as a predictor of surgical wound infection risk was verified. With the simplified index, a subgroup, consisting of half the surgical patients, can be identified in whom 90% of the surgical wound infections will develop. By the inclusion of factors measuring therisk due to the patient's susceptibility as well as that due to the level of wound contamination, the simplified index predicts surgical wound infection risk about twice as well as the traditional classification of wound contamination (Goodman-Kruskal G=0.67 vs. 0.36, p<0.0001). Use of this new index might substantially increase the efficiency of routine surgical wound infection surveillance and control.

AB - To predict the likelihood that a patient will develop a surgical wound infection from several risk factors, the authors used information collected on 58,498 patients undergoing operations in 1970 to develop a simple multivariate risk index. Analyzing 10 risk factors with stepwise multiple logistic regression tech niques, they developed a model combining information on four of the risk factors to predict a patient's probability of getting a surgical wound infection. Then, with information collected on another sample of 59,352 surgical patients admitted in 1975-1976, the validity of this index as a predictor of surgical wound infection risk was verified. With the simplified index, a subgroup, consisting of half the surgical patients, can be identified in whom 90% of the surgical wound infections will develop. By the inclusion of factors measuring therisk due to the patient's susceptibility as well as that due to the level of wound contamination, the simplified index predicts surgical wound infection risk about twice as well as the traditional classification of wound contamination (Goodman-Kruskal G=0.67 vs. 0.36, p<0.0001). Use of this new index might substantially increase the efficiency of routine surgical wound infection surveillance and control.

KW - Costs and cost analysis

KW - Cross infection

KW - Health services research

KW - Health surveys

KW - Sampling studies

KW - Surgical wound infection

UR - http://www.scopus.com/inward/record.url?scp=0021952010&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0021952010&partnerID=8YFLogxK

M3 - Article

C2 - 4014116

AN - SCOPUS:0021952010

VL - 121

SP - 206

EP - 215

JO - American Journal of Epidemiology

JF - American Journal of Epidemiology

SN - 0002-9262

IS - 2

ER -