M Bhargavi, R Karthikeyan, B Kumar
Department of Pharmacy Practice, School of Pharmacy, Sri Balaji Vidyapeeth, Puducherry, IND.
Department of Pharmacy Practice, Ratnam Institute of Pharmacy, Nellore, IND.
Cureus. 2024 Dec 12;16(12):e75574. doi: 10.7759/cureus.75574. eCollection 2024 Dec.
Introduction The success of surgical procedures is becoming more threatened by the advent of multi-drug resistant (MDR) bacterial strains, sometimes known as superbugs. These resistant microorganisms frequently cause post-surgical infections, which raise morbidity, death, and medical expenses. With an emphasis on resistant strains, this seeks to create an antibiogram and a thorough microbiological profile of surgical infections in order to help choose the most effective antimicrobial therapy. The outcomes will lessen the effects of resistant microbial superbugs in surgical settings, optimize the use of antibiotics in turn, and improve infection control techniques. Objectives To identify and isolate the bacterial microbes that trigger post-surgical infections in patients. To determine the antibiotic resistance profiles of these bacterial isolates. To construct a local antibiogram for post-surgical infections, aiding in the appropriate selection of antibiotics. Method A prospective cross-sectional study was carried out in Government General Hospital, Nellore. Based on the sample size, 738 patients were taken. Patients were recruited based on eligibility criteria. A questionnaire was prepared, and details were collected. Gram-staining techniques were used to identify organisms. Biochemical tests were done to confirm the bacteria. Culture sensitivity tests were carried out by disk diffusion method to know the zone of inhibition. A structured antibiogram was developed. Results Of the 738 patients, 324 were found to have Surgical Site Infections (SSI). One-hundredand seventy two females were prone to SSI, which is a high number. Three-hudred and thirty eight organisms were identified among 324 SSI patients, mostly comprised of staphylococcus (28.6%) followed by () (21.3%). The gynecology department comprises more SSI followed by surgical (31.7%). Cephalosporins are commonly used antibiotics before and after surgery. It is found to be resistant to most organisms, whereas Gentamicin is found to be sensitive. Discussion It was evident that the more contaminated the wounds being operated on, the higher the SSI. Compared to scheduled elective surgeries, the infection rate for emergency procedures was nearly twice as high. There was no bacterial growth in 404 patients out of 738. Conclusion This study emphasizes the increasing difficulty in treating surgical infections caused by antibiotic-resistant organisms and the urgent need for accurate, data-driven methods of infection management. It is advised to employ an antibiogram to reduce the spread of resistant organisms because a significant percentage of samples are resistant to the most commonly used medications. National surveillance of microbes resistant to antibiotics must be established.
引言 外科手术的成功正越来越受到多重耐药(MDR)细菌菌株(有时被称为超级细菌)出现的威胁。这些耐药微生物经常导致术后感染,从而增加发病率、死亡率和医疗费用。本文重点关注耐药菌株,旨在创建一份手术感染的抗菌谱和详细的微生物学概况,以帮助选择最有效的抗菌治疗方法。其结果将减轻耐药微生物超级细菌在手术环境中的影响,进而优化抗生素的使用,并改进感染控制技术。
目标 识别并分离引发患者术后感染的细菌微生物。确定这些细菌分离株的抗生素耐药谱。构建一份针对术后感染的本地抗菌谱,以辅助抗生素的合理选择。
方法 在印度内洛尔政府总医院开展了一项前瞻性横断面研究。根据样本量选取了738名患者。根据纳入标准招募患者。编制了一份问卷并收集详细信息。使用革兰氏染色技术识别微生物。进行生化试验以确认细菌。采用纸片扩散法进行培养敏感性试验以了解抑菌圈。制定了一份结构化抗菌谱。
结果 在738名患者中,发现324名患有手术部位感染(SSI)。172名女性易患SSI,这一数字较高。在324名SSI患者中鉴定出338种微生物,其中大多数为葡萄球菌(28.6%),其次是(此处原文缺失相关内容)(21.3%)。妇科的SSI病例较多,其次是外科(31.7%)。头孢菌素是手术前后常用的抗生素。发现它对大多数微生物耐药,而庆大霉素敏感。
讨论 显然,手术伤口污染越严重,SSI发生率越高。与择期手术相比,急诊手术的感染率几乎高出一倍。738名患者中有404名未检测到细菌生长。
结论 本研究强调了治疗由抗生素耐药生物体引起的手术感染的难度日益增加,以及迫切需要准确的、数据驱动的感染管理方法。建议使用抗菌谱来减少耐药生物体的传播,因为相当比例的样本对最常用药物耐药。必须建立全国性的抗生素耐药微生物监测体系。