Application of risk assessment indicators in early prevention and control of multidrug-resistant bacterial infections
10.3969/j.issn.1671-8348.2024.08.011
- VernacularTitle:风险评估指标在多重耐药菌感染防控早期的运用
- Author:
Bingwei ZHU
1
;
Yuyu XIAO
Author Information
1. 同济大学附属东方医院医院感染管理科,上海 200120
- Keywords:
infection with multidrug-resistant bacteria;
risk assessment indicators;
ICU;
infection prevention and control
- From:
Chongqing Medicine
2024;53(8):1179-1182
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the risk factors in the early prevention and control of multidrug-re-sistant bacterial infections,and to seek the main risk assessment indicators for early intervention in order to reduce the infection rate and mortality rate of multidrug resistant bacteria in the patients.Methods A retro-spective analysis was conducted on the medical histories of 238 ICU patients with multidrug-resistant bacterial infections discharged from a tertiary comprehensive hospital in Shanghai during 2022.The 4 common risk as-sessment indicators related to multidrug-resistant bacterial infections were obtained.The SPSST statistical software was used to verify the normal distribution,and the correlation analysis among the indicators was con-ducted.The binary logistic regression analysis was used to confirm the reliability of indicator selection. Results All indicators were tested by the descriptive analysis to conform to a normal distribution.The Pear-son's two tailed method was used to conduct the correlation analysis on the death with 4 risk assessment indi-cators of the age,isolation doctor's order,microbiological submitted examination before the first use of thera-peutic antibiotic drugs and basic diseases,which had significant correlation in 95％ confidence interval (CI) (P<0.05).The binary logistic regression was used to verify that "death" was the dependent variable,the age group,isolation doctor's order,microbial submitted examination before the first use of therapeutic antibiotic drugs and underlying diseases were the independent variables,P<0.001,indicating that the model construc-tion was effective.Conclusion The early evaluation aiming at these 4 indicators has a positive effect on clinical prospective tips and standardized diagnosis and treatment behavior.
