局部微生物监测作为确定条件致病菌病原学意义的基础:来自烧伤重症监护病房的数据

Y. Yarets, N. Shevchenko, V. Eremin, V. O. Kovalev
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摘要

目标。评估烧伤重症监护病房感染的病因、微生物关联和抗菌素耐药性。材料与方法。对195例大面积烧伤患者的1322份生物样本进行微生物学研究,包括479份血液样本、82份呼吸样本、326份尿液样本和435份伤口样本。进行药敏试验,计算恒常关联系数(CA)和Jaccard系数。结果:铜绿假单胞菌占23%,鲍曼不动杆菌占19.1%,粪肠球菌占18.6%,肺炎克雷伯菌占8.2%,con(凝血阴性葡萄球菌)占8.2%,金黄色葡萄球菌占7.1%,白色念珠菌占7.1%,非白色念珠菌占3%,其他菌种的分离率均小于2%。其中,非发酵棒菌(NFR)、金黄色葡萄球菌(S. aureus)、肠杆菌(Enterobacterales)、粪肠杆菌(E. faecalis)、非白色念珠菌(Candida non-albicans)的结合率分别为60.0%、88.8%、83.0%、83.3%和65%。耐甲氧西林金黄色葡萄球菌和金黄色葡萄球菌的感染率分别为71%和81%。与金黄色葡萄球菌相比,con对氟喹诺酮类药物和庆大霉素的耐药率分别为42%对23%,46%对29% (χ2 = 6.91;P = 0.086;χ2 = 6.58;P = 0.013)。粪肠球菌对氨基糖苷类药物和氟喹诺酮类药物的耐药率较高(约60%)。所有革兰氏阳性分离株对万古霉素、利奈唑胺、替加环素和替柯planin完全敏感。革兰氏阴性菌(NFR、肺炎克雷伯菌)对青霉素类、头孢菌素类、碳青霉烯类(NFR)和氨基糖苷类的耐药率很高(从60%到100%)。对NFR最有效的抗菌药物是粘菌素。肺炎克雷伯菌分离株对碳青霉烯类药物的耐药率为23%,而其他肠杆菌对碳青霉烯类药物高度敏感。结论通过对烧伤重症监护病房病原菌进行局部微生物监测,可以定性地了解病原菌结构和耐药性。这些数据将作为改进感染控制和抗菌药物管理的基础。
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Local microbiological monitoring as a basis for determining etiological significance of conditional pathogens: data from a burn intensive care unit
Objective. To assess the etiology of infections, microbial associations and antimicrobial resistance in a burn intensive care unit. Materials and Methods. A microbiological study of 1322 biological samples from 195 patients with extensive burns included 479 blood samples, 82 respiratory samples, 326 urine samples, and 435 wound samples. Antimicrobial susceptibility testing was performed, and coefficients of constancy and associativity (CA), as well as the Jaccard coefficient were calculated. Results. The etiology of infections was represented by: Pseudomonas aeruginosa – 23%, Acinetobacter baumannii – 19.1%, Enterococcus faecalis – 18.6%, Klebsiella pneumoniae – 8.2%, CoNS (coagulasenegative staphylococci) – 8.2%, Staphylococcus aureus – 7.1%, Candida albicans – 7.1%, Candida non-albicans – 3%, other species were isolated with a frequency of less than 2%. Majority of the above mentioned pathogens showed high associativity: non-fermenting rods (NFR), S. aureus, Enterobacterales, E. faecalis, Candida non-albicans formed associations in 60.0%, 88.8%, 83.0%, 83.3% and 65% of cases, respectively. The prevalence of methicillin-resistant strains of S. aureus and CoNS was 71% and 81%, respectively. CoNS showed higher resistance to fluoroquinolones and gentamicin compare to S. aureus: 42% vs 23%, 46% vs 29%, respectively (χ2 = 6.91; p = 0.086; χ2 = 6.58; p = 0.013). E. faecalis showed high resistance rates to aminoglycosides and fluoroquinolones (> 60%). All Gram-positive isolates were completely susceptible to vancomycin, linezolid, tigecycline, and teicoplanin. Resistance rates of Gram-negative bacteria (NFR, K. pneumoniae) to penicillins, cephalosporins, carbapenems (for NFR), and aminoglycosides were high (from 60% to 100%). The most active antimicrobial against NFR was colistin. Resistance of K. pneumoniae isolates to carbapenems was 23%, while other enterobacteria were highly susceptible to carbapenems. Conclusions. The implementation of the local microbiological monitoring made it possible to characterize the qualitative pathogen structure and antimicrobial resistance in our burns intensive care unit. This data will serve as the basis for improving of the infection control and antimicrobial stewardship.
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