中枢神经系统术后颅内感染的影响因素的研究

Research on the Influencing Factors of Intracranial Infection after Central Nervous System Surgery

摘要: 本文主要是要把中枢神经系统术后颅内感染的影响因素和预防办法梳理一下，术后颅内感染是神经外科比较严重的并发症，会大大提高患者的致残率和死亡率。本研究先剖析了病原学特征，指出革兰氏阴性菌占比上升以及多重耐药菌(鲍曼不动杆菌、肺炎克雷伯菌等)流行的严峻现状，接着从患者自身因素(高龄、糖尿病、营养不良等)、手术相关因素(手术时长、植入物使用、脑脊液漏)、术后管理(引流管维护、ICU停留时间)三个方面探究感染的发生机制。在此基础上，本文主要总结了围手术期预防性抗菌药物的合理使用以及集束化护理干预的临床价值，本研究认为，构建一个包含术前、术中、术后的全流程个体化防控体系是降低感染率的关键，未来可以利用人工智能风险预测模型和新型抗菌材料，实现从被动治疗到精准干预的转变，从而为临床实践提供坚实的理论依据。

Abstract: This study aims to systematically review the influencing factors and prevention strategies for postoperative intracranial infection of the central nervous system (CNS). As a severe complication in neurosurgery, postoperative intracranial infection significantly increases patient morbidity and mortality. We first analyze the etiological characteristics, highlighting the rising proportion of Gram-negative bacteria and the severe challenge posed by multidrug-resistant organisms (e.g., Acinetobacter baumannii and Klebsiella pneumoniae). Subsequently, the mechanisms of infection are explored across three dimensions: patient-specific factors (e.g., advanced age, diabetes, malnutrition), surgical variables (e.g., operation duration, use of implants, cerebrospinal fluid leaks), and postoperative management (e.g., drainage tube maintenance, ICU stay). Based on this, the clinical value of rational perioperative prophylactic antibiotic use and bundle care interventions is summarized. This research suggests that establishing a comprehensive, individualized prevention and control system covering the preoperative, intraoperative, and postoperative phases is key to reducing infection rates. Future efforts should leverage AI-based risk prediction models and novel antibacterial materials to transition from reactive treatment to precision intervention, providing a solid theoretical basis for clinical practice.