Risk factors for postoperative nosocomial infections in the department of otorhinolaryngology
10.16718/j.1009-7708.2018.01.001
- VernacularTitle:耳鼻喉科患者手术后医院感染相关因素分析
- Author:
Liping QIU
1
;
Xiulan QIU
Author Information
1. 福建医科大学附属第二医院耳鼻喉科
- Keywords:
otorhinolaryngology,operation;
nosocomial infection;
risk factor
- From:
Chinese Journal of Infection and Chemotherapy
2018;18(1):1-5
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk factors for postoperative nosocomial infections in the department of otorhinolaryngology,and provide guidance on improving the quality of life for patients.Methods The clinical data of the patients tmdergoing surgical procedure in the department of otorhinolaryngology form January 2011 to December 2016 were reviewed to identify the potential risk factors of nosocomial infections.Chi-square test and multivariate logistic regression model were used for the analysis.Results A total of 152 (2.25％) cases of nosocomial infection were identified in 6 753 cases of surgical operation.Univariate analysis revealed that sex,age,length of stay,patient referral,class of surgical wounds,length of operation,and complications were related to postoperative nosocomial infections.The patients without nosocomial infection showed higher cure rate than those complicated with nosocomial infection (P＜0.05).Multivariate logistic regression analysis identified that male (OR=2.831,95％ CI:1.758-4.558),older (OR=5.833,95％ CI:4.491-7.577),patient referral (OR=1.790,95％ CI:1.008-3.178),higher class of surgical wound contamination (OR=34.866 for Class Ⅰ,OR=2 120.995 for Class Ⅱ,and OR=43 917.453 for Class Ⅲ wounds),and longer length of operation (OR=9.384,95％ CI:18.168-47.525) were the independent risk factors for postoperative nosocomial infections in the department of otorhinolaryngology.Conclusions Multiple risk factors are associated with postoperative nosocomial infections in the department of otorhinolaryngology.Integrated measures must be taken for prevention and control of nosocomial infections based on the specific conditions of the patient.
