Analyzing risk factors for surgical site infection following Pilon fracture surgery.
- Author:
Yu LIANG
;
Yue FANG
;
Chong-qi TU
;
Xiang-yu YAO
;
Tian-fu YANG
- Publication Type:Journal Article
- MeSH: Adult; Compartment Syndromes; complications; Female; Humans; Logistic Models; Male; Middle Aged; Operative Time; Risk Factors; Surgical Wound Infection; etiology; Tibial Fractures; surgery
- From: China Journal of Orthopaedics and Traumatology 2014;27(8):650-653
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo study the related risk factors for surgical site infection following Pilon fracture surgery. METH ODS: The data of 561 patients with Pilon fractures treated with open reduction plate osteosynthesis at our institution's trauma centre were collected from January 2006 to December 2012. All the patients were divided into two groups: infection group and non-infection group. In the infection group, there were 23 males and 10 females, ranging in age from 21 to 69 years old, with an average of (45.50±4.40) years old. In the non-infection group, there were 296 males and 232 females, ranging in age from 16 to 76 years old, with an average of (43.50±7.19) years old. The possible risk factors such as age, gender, smoking, diabetes, alcohol abuse, open fractures, compartment syndrome and operative time were studied. The multivariate Logistic regression model was used to analyze the risk, factors.
RESULTSThe infection rate of surgical site after Pilon fracture surgery was 5.88%. There were significant statistical differences between infection group and non-infection group in operative time, open fractures and compartment syndrome. However, multivariate Logistic regression analysis revealed that only operative time was significantly associated with surgical site infection (P=0.005, OR=44.92).
CONCLUSIONOperation time is an independent predictor for post-operative surgical site infection of Pilon fracture treated with open reduction plate osteosynthesis. Though open fracture and compartment syndrome could increase the surgical site infection rate, they could not not be considered as independent predictors.