贵州医科大学学报2024,Vol.49Issue(3) :397-402,416.DOI:10.19367/j.cnki.2096-8388.2024.03.011

阿尔茨海默病合并深部感染患者的病原菌分布规律及耐药性特点

Distribution patterns and drug resistance characteristics of pathogenic bacteria in inpatients with Alzheimer's disease complicated with deep infection

姚昌昊 唐琴 周晓明 康颖倩
贵州医科大学学报2024,Vol.49Issue(3) :397-402,416.DOI:10.19367/j.cnki.2096-8388.2024.03.011

阿尔茨海默病合并深部感染患者的病原菌分布规律及耐药性特点

Distribution patterns and drug resistance characteristics of pathogenic bacteria in inpatients with Alzheimer's disease complicated with deep infection

姚昌昊 1唐琴 2周晓明 3康颖倩1
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作者信息

  • 1. 贵州医科大学基础医学院微生物学教研室,贵州贵阳 550025;贵州省普通高校病原生物学特色重点实验室,贵州贵阳 550025;贵州医科大学环境污染与疾病监控教育部重点实验室,贵州贵阳 550025
  • 2. 成都市第四人民医院检验科,四川成都 610036
  • 3. 贵阳市妇幼保健院质控科,贵州贵阳 550003
  • 折叠

摘要

目的 探讨阿尔茨海默病(AD)合并深部感染住院患者的病原菌分布规律及耐药性特点.方法 选取AD合并深部感染患者350例为研究对象,收集患者的痰液(n=244)、尿液(n=83)、血液(n=20)及其它分泌物(n=3)标本350份分离培养得纯菌落,采用全自动微生物鉴定系统对纯菌落进行菌种鉴定;收集164例临床体征表现典型的AD合并肺部感染患者的痰标本进行分离培养得纯菌落,采用全自动微生物鉴定系统对纯菌落进行菌种鉴定,并对该164例患者的基础疾病和死亡情况进行统计;选取AD合并肺部感染排名前5的155株主要菌株进行药物敏感试验;同时收集上述菌株来源患者的肺部影像学资料.结果 350份AD合并深部感染患者的标本中培养出病原菌397株,数量最多的细菌是铜绿假单胞菌(23.93%),数量最多的真菌是白念珠菌(5.04%);AD合并肺部感染的患者常常伴有多种基础疾病,伴有糖尿病的患者占比居首位(53.66%),其次是伴有高血压病的患者占比(47.56%);药敏检测结果显示,鲍曼不动杆菌对哌拉西林/他唑巴坦耐药率最高(47.36%),大肠埃希菌对环丙沙星耐药率最高(44.44%),铜绿假单胞菌对庆大霉素耐药率最高(59.25%),金黄色葡萄球菌对头孢吡肟耐药率最高(70.58%),肺炎克雷伯菌对头孢吡肟耐药率最高(38.29%);对AD合并肺部感染患者的常见影像学表现以小叶性肺炎居多,间质性肺炎及肺脓肿情况少见.结论 AD合并深部感染患者的病原菌以革兰阴性菌居多,感染部位以肺部感染最高,菌株对环丙沙星、左氧氟沙星、头孢他啶、头孢吡肟及庆大霉素耐药率较高.

Abstract

Objective To investigate the distribution patterns and drug resistance characteristic of pathogenic bacteria in inpatients with Alzheimer's disease(AD)complicated with deep infection.Methods A total of 350 patients with AD complicated with deep infection were selected as research subjects.A total of 350 samples were collected,including sputum(n=244),urine(n=83),blood(n=20),and other secretion(n=3)specimens from the patients to isolate and culture pure bacterial colonies.Automated microbial identification system was applied to identify bacteria species in pure colonies.Sputum samples were collected from 164 patients who had typical AD clinical signs and pulmonary infection,then isolated,cultured for obtaining pure colonies.The bacterial species in pure colonies were identified using automated microbial identification system.Statistics was performed on the underlying diseases and death status of the 164 patients.A total of 155 major strains which ranked the top 5 from the patients with AD complicated with pulmonary infections were selected for drug sensitivity testing,and their pulmonary imaging data were collected.Results A total of 397 strains of pathogenic bacteria were cultured from 350 samples of the patients with AD complicated with deep infection.The most abundant bacterium was Pseudomonas aeruginosa(23.93%),and the most abundant fungus was Candida albicans(5.04%).The patients with AD complicated by pulmonary infection often had multiple underlying diseases.Patients with diabetes accounted for the first place(53.66%),followed by the patients with hypertension(47.56%).Drug sensitivity test results showed that Acinetobacter baumannii had the highest resistance rate to piperacillin/tazobactam(47.36%),and Escherichia coli had the highest resistance rate to ciprofloxacin(44.44%).P.aeruginosa had the highest resistance rate to gentamicin(59.25%),and Staphylococcus aureus had the highest resistance rate to cephalosporin(70.58%).Klebsiella pneumoniae had the highest resistance rate to cefepime(38.29%).The common imaging manifestations of the patients with AD complicated with pulmonary infection were mainly lobular pneumonia,while interstitial pneumonia and pulmonary abscess were rare.Conclusion The majority of pathogenic bacteria in patients with AD complicated with deep infections are gram-negative bacteria,and the most common site of infection is in the lung.These strains have a high resistance rate to ciprofloxacin,levofloxacin,ceftazidime,cefepime,and gentamicin.

关键词

阿尔茨海默病/深部感染/病原菌/种类/构成比/耐药性

Key words

Alzheimer disease/deep infection/pathogenic bacteria/species/constituent ratio/drug resistance

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基金项目

国家自然科学基金(32060034)

高等学校学科创新引智计划(111计划)(D20009)

贵州省高层次创新型人才(黔科合平台人才-GCC[2022]036-1)

出版年

2024
贵州医科大学学报
贵阳医学院

贵州医科大学学报

CSTPCD
影响因子:0.827
ISSN:2096-8388
参考文献量22
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