Clinical prediction rules for surgical site infection after minor surgery in general practice.
Aust J Gen Pract
; 53(9): 640-646, 2024 09.
Article
em En
| MEDLINE
| ID: mdl-39226598
ABSTRACT
BACKGROUND AND OBJECTIVES:
Surgical site infection (SSI) after dermatological surgery is associated with poor outcomes. Developing clinical prediction rules based on the predicted probability of infection might encourage guided prophylaxis and judicious prescribing. The purpose of this study was to develop a clinical prediction rule based on identified risk factors for SSI in a large general practice patient cohort.METHOD:
We examined a large, pooled dataset from four randomised controlled trials performed in a regional centre of North Queensland, Australia. Multivariable logistic regression identified a prediction model. Bootstrapping was used for internal validation. A scoring system was based on predicted probabilities of infection.RESULTS:
The final prediction rule included age >55 years and the anatomical site, histology and complexity of the excision. The area under the curve was 0.704.DISCUSSION:
Our prediction rule encourages judicious use of prophylaxis in clinical practice.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Infecção da Ferida Cirúrgica
/
Medicina Geral
Limite:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
País/Região como assunto:
Oceania
Idioma:
En
Revista:
Aust J Gen Pract
Ano de publicação:
2024
Tipo de documento:
Article
País de publicação:
Austrália