School of Tropical Medicine, Hainan Medical University, Haikou, 571199, Hainan, China.
Hainan Yazhou Bay Seed Laboratory, Sanya Nanfan Research Institute of Hainan University, Sanya, 572025, China.
Sci Rep. 2024 Sep 27;14(1):22068. doi: 10.1038/s41598-024-73258-2.
This study addresses the distribution and antimicrobial resistance of Acinetobacter baumannii (A. baumannii) in a medical facility in Haikou City, aiming to provide essential insights for enhancing in-hospital treatment and prevention strategies. We conducted a retrospective analysis of 513 A. baumannii isolates collected from a tertiary care hospital in Haikou between January 2018 and December 2020, focusing on their antimicrobial resistance patterns. Random Amplified Polymorphic DNA (RAPD) analysis was performed on 48 randomly selected A. baumannii strains. Using Gel-pro4.0 and NTSYSspc2.10 software, we constructed dendrograms to assess the genetic diversity of these strains. Our results indicate that males between 60 and 70 years old are particularly vulnerable to A. baumannii infections, which are most frequently detected in sputum samples, with a detection rate exceeding 70%. Alarmingly, over 50% of the isolates were identified as multi-drug resistant. The RAPD-PCR fingerprinting cluster analysis demonstrated substantial genetic diversity among the strains. Using primer OPA-02 at a 45% similarity coefficient, the strains were categorized into four groups (A-D), with group A being predominant (39 strains). high-prevalence areas like the Neurosurgery and Intensive Care Medicine Wards require enhanced surveillance and targeted interventions to manage Group C infections effectively. Additionally, the varied presence of other groups necessitates customized strategies to address the specific risks in each ward. Similarly, primer 270 at a 52% similarity coefficient classified the strains into five groups (E-I), with group E being most common (36 strains). The study highlights a concerning prevalence of antimicrobial resistance, particularly multi-drug resistance, among A. baumannii strains in the Haikou hospital. The significant genetic diversity, especially within groups A and E, underscores the need for tailored hospital treatment protocols and prevention measures. These findings contribute to the growing body of research on antimicrobial resistance, emphasizing the urgent need for effective management strategies in healthcare settings.
这项研究旨在探讨海口市某医疗机构鲍曼不动杆菌（A.baumannii）的分布和抗菌药物耐药性，为加强院内治疗和预防策略提供重要依据。我们对 2018 年 1 月至 2020 年 12 月期间海口市一家三级医院采集的 513 株 A.baumannii 分离株进行了回顾性分析，重点研究其抗菌药物耐药模式。对 48 株随机选择的 A.baumannii 菌株进行随机扩增 DNA 多态性（RAPD）分析。采用 Gel-pro4.0 和 NTSYSspc2.10 软件构建聚类图，评估这些菌株的遗传多样性。结果表明，60-70 岁的男性易感染 A.baumannii，其痰液标本检出率最高，超过 70%。令人担忧的是，超过 50%的分离株为多重耐药菌。RAPD-PCR 指纹图谱聚类分析显示，菌株间存在较大的遗传多样性。用 OPA-02 引物在 45%相似系数水平上可将菌株分为 4 个群（A-D），以群 A 为主（39 株）。神经外科和重症监护病房等高流行区需要加强监测和采取针对性干预措施，以有效管理群 C 感染。此外，其他群的存在差异，需要针对每个病房的具体风险制定定制策略。同样，用 270 引物在 52%相似系数水平上可将菌株分为 5 个群（E-I），以群 E 为主（36 株）。本研究表明，海口市医院的 A.baumannii 分离株存在令人担忧的抗菌药物耐药率，特别是多重耐药率。A 和 E 群内存在显著的遗传多样性，强调需要制定个体化的医院治疗方案和预防措施。这些发现为抗菌药物耐药性的研究提供了新的证据，强调了在医疗机构中迫切需要实施有效的管理策略。
