Related Experiment Videos
Development of the Sternal Wound Infection Prediction Scale
L C Hussey1, B Leeper, L S Hynan
1Dept of Audlt Health Nursing, College of Nursing & Health Professions, University of North Carolina at Charlotte 28223-0001, USA.
Heart & Lung : the Journal of Critical Care
|October 20, 1998
Summary
A new Sternal Wound Infection Prediction Scale (SWIPS-R) was developed to predict sternal wound infection (SWI) after cardiac surgery. The SWIPS-R demonstrated improved accuracy in identifying patients at risk for SWI.
Area of Science:
- Medical Science
- Surgical Outcomes
- Infectious Disease
Background:
- Sternal wound infection (SWI) is a serious complication following cardiac surgery.
- Accurate prediction of SWI risk is crucial for patient management and resource allocation.
Purpose of the Study:
- To develop and validate a reliable instrument for predicting the occurrence of SWI.
- To identify key risk factors associated with SWI development post-cardiac surgery.
Main Methods:
- Retrospective chart review of 185 adult cardiac surgery patients.
- Development of the Sternal Wound Infection Prediction Scale (SWIPS) in two phases, including revision (SWIPS-R) with 21 risk factors.
- Validation of SWIPS and SWIPS-R using cross-validation and multivariate logistic regression analysis.
Main Results:
- The revised scale (SWIPS-R) achieved 72.8% correct predictions of SWI/non-infection.
- A reduced logistic regression model with 9 risk factors correctly classified 76.2% of subjects.
- Both SWIPS-R and the logistic regression model showed excellent classification rates.
Conclusions:
- The SWIPS-R and logistic regression model are promising tools for predicting SWI.
- Further data collection is recommended to enhance the reliability of these predictive instruments.
- These tools can aid in early identification and management of patients at risk for SWI.