OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 19.04.2026, 08:57

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Ein externer Link zum Volltext ist derzeit nicht verfügbar.

Pathogen detection and infection factor analysis of 80patients of recessive infections after tibia fracture surgery

2013·0 Zitationen

0

Zitationen

1

Autoren

2013

Jahr

Abstract

OBJECTIVE To provide reliable basis for the key factors that pathogens causeing infections and reducing the incidence of postoperative infections through the pathogen detection and infection factors analysis of patients with recessive infections after tibia fracture surgery.METHODS A retrospective analysis of the data of 341patients of orthopedic surgery of tibia fracture admitted in the bone surgery department from Jan 2007to Dec 2012was performed.80patients with recessive infection after tibia fracture surgery were subjected to detection of pathogens;then a non-conditional logistic regression analysis of the influencing factors with significant difference was carried out to find out the independent risk factors for infections.RESULTS A total of 45pathogens were detected,and the results showed that,the Staphylococcus aureus,Staphylococcus epidermidis,Propionibacterium acnes,diphtheroids,and coagulase-negative Staphylococci accounted for 37.78%,26.67%,15.56%,13.33%,and 6.67%respectively;the logistic regression analysis revealed that the use of broad-spectrum antibiotics after surgery(β=1.648,OR=4.982),less bacteria and weak pathogenicity(β=1.905,OR=6.338),and local anatomical characteristics(β=1.791,OR=5.676)were the risk factors for the recessive infection after tibia fracture surgery and affected the therapeutic effect of fracture fixation.CONCLUSIONRecessive infection after tibia fracture surgery should not be ignored.It is necessary to strengthen the close observation on the patients′operation sites to find the recessive infections and treat it in a timely manner so as to ensure the safety of patients in treatment.

Ähnliche Arbeiten

Autoren

Institutionen

Themen

Bone fractures and treatmentsOrthopedic Infections and TreatmentsArtificial Intelligence in Healthcare and Education