摘要
目的:分析糖尿病合并侵袭性肺真菌感染(IPFI)的危险因素及预后。方法:选取我院收治的糖尿病合并IPFI患者51例作为观察组,选取同期收治的糖尿病未合并IPFI患者49例作为对照组,对两组资料进行回顾性分析,通过多因素Logistic回归分析侵袭性肺真菌感染的危险因素。结果:白蛋白、血红蛋白、住院时间、广谱抗生素使用时间、体内保留导管、有创机械通气、长期糖皮质激素使用均是侵袭肺真菌感染的危险因素,有统计学意义(P<0.05)。对单因素相关分析结果进行筛选,选择P<0.05者,进行多因素Logistic回归分析,根据向后剔除法筛选变量,结果显示,低蛋白血症、贫血、长期使用广谱抗生素、有创机械通气均是侵袭性肺部真菌感染的独立危险因素,有统计学意义(P<0.05)。结论:糖尿病合并侵袭性肺真菌感染的危险因素较多,预后较差,因此需要有针对性的预防工作和适宜的处理方法。
Objective： To analyze the risk factors and prognosis of diabetes complicated with invasive pulmonary fungal infection （IPFI）. Methods： 51 diabetic patients with IPFI admitted in our hospital were selected as observation group, 49 diabetes patients without IPFU during the same period were chosen as control group. The risk factors of invasive pulmonary fungal infection in the two groups were retrospectively anaiyzed by multivariate Logistic regression analysis. Results： Albumin, hemoglobin, time of hospitalization, time of use of broad-spectrum antibiotics, retention catheter, mechanical ventilation, long-term use of glucocorticoid were risk factors for invasive pulmonary fungal infections, with statistical significance （P 〈 0.05）. The single-factor analysis results were screened and multiple Logistic regression analysis was performed on those with P 〈0.05 according to the backward elimination method for screening variables. The results showed that hypoalbuminemia, anemia, long-term use of broad-spectrum antibiotics, and mechanical ventilation were independent risk factors of invasive pulmonary fungal infection, with statistical significance （P〈0.05）. Conclusion： Diabetes combined with IPFI is with many risk factors and poor prognosis, which calls for targeted prevention and appropriate methods.
作者
田德兴
唐微
肖贞良
但小苹
李小华
TIAN De-xing TANG Wei XIA O Zhen-liang DAN Xiao-ping LI Xiao-hua(Department ofRespiration, Chengdu Military General Hospital, Chengdu, Sichuan, 610083, China)
出处
《现代生物医学进展》
CAS
2017年第12期2252-2255,共4页
Progress in Modern Biomedicine
基金
国家自然科学基金项目(81171869)
关键词
糖尿病
侵袭性肺真菌感染
危险因素
预后
Diabetes mellitus
Iuvasive pulmonary fungal infection
Risk factors
Prognosis
