感染性开放性骨折细菌分离谱的前瞻性研究

Macharia Joseph Thuita, Sitati Fred Chumo, Gakuya Edward Muthike
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引用次数: 0

摘要

开放性骨折最常见的并发症是感染,通常会升级为败血症、骨髓炎和截肢。预防性使用抗生素是预防感染最有效的策略之一。流行的细菌分离模式必须指导预防性和经验性治疗的抗生素选择。本研究旨在描述感染性开放性骨折的细菌分离谱。2019年10月至2020年1月,在肯尼亚肯雅塔国家医院进行了一项前瞻性横断面研究。鉴定出66处感染性开放性骨折,并采集脓拭子/感染组织标本进行细菌培养。其他数据是从患者访谈和他们的医院记录中收集的。结果表明,培养基的生长率为79%。革兰氏阴性菌占73%,革兰氏阳性菌占27%。最具优势的细菌分离株是铜绿假单胞菌(34%),其次是金黄色葡萄球菌(27%)、大肠杆菌(20%)、奇异变形杆菌(16%)和肺炎克雷伯菌(3%)。革兰氏阴性菌比革兰氏阳性菌多。优势菌株为铜绿假单胞菌,其次为金黄色葡萄球菌。革兰氏阴性分离株的比例较高,这与文献中广泛记载的情况不一致。预防和经验性治疗的抗生素选择应根据细菌分离株的局部模式进行调整。关键词:细菌分离图谱感染开放性骨折。
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A prospective study of bacterial isolates profile in infected open fractures
The most common complication in open fractures is infection, which often escalates to sepsis, osteomyelitis, and amputations. The use of prophylactic antibiotics is one of the most effective strategies to prevent infection. The prevailing bacterial isolate patterns must guide the choice of antibiotics for both prophylactic and empiric therapy. This study aims to describe the bacterial isolate profiles in infected open fractures. A prospective cross-sectional study was carried out at Kenyatta National Hospital, Kenya, between October 2019 and January 2020. 66 infected open fractures were identified and pus swabs/infected tissue specimens taken for bacterial cultures. Other data were collected from patient interviews and their hospital records. Results revealed that the culture growth rate was 79%. Gram-negative isolates accounted for 73% while Gram-positive isolates were 27%. The most pre-dominant bacterial isolate was Pseudomonas aeruginosa (34%), followed by Staphylococcus aureus (27%), Escherichia coli (20%), Proteus mirabilis (16%) and Klebsiella pneumoniae (3%). There were more gram-negative than gram-positive bacterial isolates. The pre-dominant bacterial isolate was P. aeruginosa followed by S. aureus. The higher proportion of gram negative isolates is in variance with what is widely documented in the literature. The selection of antibiotics for both prophylaxis and empiric therapy should be tailored to the local patterns of bacterial isolates.   Key words: Bacteria isolates profile infected open fractures.
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