摘要
目的探讨糖尿病患者继发创口感染病原菌的分布及药敏耐药情况,为临床抗感染治疗提供用药依据。方法选取该院2011年1月—2013年12月收治的98例糖尿病继发创口感染患者为研究对象,采集上述患者的受损皮肤、头部或足部等部位的伤口分泌物及脓液等作为创口标本,对其进行细菌培养,分离并鉴定病原菌,分析其病原菌分布及药敏耐药情况。结果 98例糖尿病继发创口感染患者共分离培养出病原菌108株。药敏分析结果显示,革兰阳性菌中金黄色葡萄球菌对头孢唑啉、青霉素的耐药率均达100%;凝固酶阴性葡萄球菌对青霉素的耐药率达100%,对头孢唑啉、氨苄西林/舒巴坦的耐药率达93%以上;肠球菌属对四环素、红霉素的耐药率达70%以上,对其它抗菌药物的耐药率较低。革兰阴性杆菌对常用抗菌药物的敏感性较好。结论糖尿病患者创口感染的病原菌以革兰阳性菌为主,应定期开展耐药监测,合理使用抗生素,以提高抗感染治疗效果。
Objective To investigate the distribution of pathogens and drug sensitivity of secondary wound infection in diabetic patients so as to provide a basis of medication for clinical anti-infection treatment. Methods 98 diabetic patients with secondary wound infection admitted in our hospital from January 2011 to December 2013 were selected as the subjects. The wound secretion and fester in the damaged skin, head or feet or other position were collected as the wound specimens and for bacterial culture. The bacteria were isolated and identified. And the distribution and drug sensitivity and resistance of the bacteria were analyzed. Results A total of 108 pathogens were isolated and cultured from the wound secretion and fester of the 98 diabetic patients with secondary wound infection. The drug sensitivity analysis showed that the drug resistance rate of Staphylococcus aureus in Gram-positive bacteria to cefazolin and penicillin reached 100%; and that of coagulase negative staphylococcus to penicillin reached 100%,to cefazolin, ampicillin/sulbactam reached over 93%; the drug resistance rate of enterococcus to tetracycline and erythromycin reached over 70%, but had lower drug resistance rate to other antimicrobial drugs. Gram-negative bacilli had high sensitivity to commonly used antibiotics. Conclusion The pathogens of wound infection in diabetic patients are mainly Gram-positive bacteria.Regularly carrying out drug resistance surveillance and rationally using the antibiotics can improve the anti-infection treatment effect.
出处
《糖尿病新世界》
2015年第2期15-16,共2页
Diabetes New World Magazine
关键词
糖尿病
创口感染
病原菌
药敏分析
Diabetes
Wound infection
Pathogen
Drug sensitivity analysis
