Logistic regression analysis of risk factors of multiple drug-resistant infections in neonatal intensive care unit

VernacularTitle:新生儿重症监护病房多重耐药菌感染危险因素logistic回归分析
Author: Zhaoyun XIE ; Yun XIONG ; Jing SUN ; Yang HU ; Yaofu LI
Publication Type:Journal Article
Keywords: neonatal intensive care unit; multiple drug-resistant infection; risk factor; logistic regression analysis
From: Journal of Clinical Pediatrics 2016;34(9):641-644
CountryChina
Language:Chinese
Abstract: Objective To analyze risk factors of multiple drug-resistant infections in neonatal intensive care unit (NICU). Methods The clinical data from 284 hospitalized pediatric patients were retrospectively analyzed from June 2011 to July 2015 . The differences between 59 cases with multiple drug-resistant infections and 225 cases with non-multiple drug-resistant infections were compared and analyzed by logistic regression. Results All of 284 cases were single birth. Fifty-nine cases ( 13 . 13 ± 9 . 03 days old) had multiple drug-resistant infections, in which 42 were males and 17 were females. Two hundred and twenty-ifve cases ( 14 . 21 ± 8 . 34 days old) had non-multiple drug-resistant infections, in which 175 cases of males and 50 cases of females. Single factor analysis showed that 8 factors, including gestational age, birth weight, days in hospital, Apgar score at birth, mechanical ventilation, parenteral nutrition, and the categories and duration of use of antimicrobial agents, were the risk factors of multiple drug-resistant infections (P?