关键词: central nervous system infections cerebrospinal fluid culture diagnosis health economics metagenomic next-generation sequencing

Mesh : Humans High-Throughput Nucleotide Sequencing Central Nervous System Infections Central Nervous System Bacterial Infections Economics, Medical Decision Support Techniques Randomized Controlled Trials as Topic

来  源:   DOI:10.1128/msystems.00581-23   PDF(Pubmed)

Abstract:
OBJECTIVE: Diagnosing and treating postoperative central nervous system infections (PCNSIs) remains challenging due to the low detection rate and time-consuming nature of traditional methods for identifying microorganisms in cerebrospinal fluid. Metagenomic next-generation sequencing (mNGS) technology provides a rapid and comprehensive understanding of microbial composition in PCNSIs by swiftly sequencing and analyzing the microbial genome. The current study aimed to assess the economic impact of using mNGS versus traditional bacterial culture-directed PCNSIs diagnosis and therapy in post-neurosurgical patients from Beijing Tiantan Hospital. mNGS is a relatively expensive test item, and whether it has the corresponding health-economic significance in the clinical application of diagnosing intracranial infection has not been studied clearly. Therefore, the investigators hope to explore the clinical application value of mNGS detection in PCNSIs after neurosurgery.
摘要:
中枢神经系统感染(CNSI)是神经外科手术后常见的并发症,预后较差。传统的微生物培养方法检测率低,耗时长。宏基因组下一代测序(mNGS)已显示出更快的优势,更准确,更全面的临床微生物学。先前的研究表明,mNGS在CNSI的诊断中具有很高的敏感性。mNGS在临床应用中是否具有卫生经济价值还有待研究。我们设计了一个潜在的,单中心,优势随机对照试验比较mNGS与使用决策树模型诊断CNSI的传统方法的成本-效果。总共204名患者将被招募并随机分配到mNGS组或传统方法组。两组患者根据不同的临床表现和检查结果进入不同的决策点。然后,他们将由专家小组在相应的决策点做出治疗决定。主要结果是增量成本效益比,这是回收率每提高1%所增加的成本。次要结果是时间成本的比较,检测成本,两组间与抗生素治疗相关的费用。IMPORTANCE诊断和治疗术后中枢神经系统感染(PCNSI)仍然具有挑战性,因为传统方法用于识别脑脊液中的微生物的低检出率和耗时的性质。宏基因组下一代测序(mNGS)技术通过快速测序和分析微生物基因组,可以快速全面地了解PCNSI中的微生物组成。本研究旨在评估在北京天坛医院神经外科术后患者中使用mNGS与传统细菌培养指导的PCNSI诊断和治疗的经济影响。mNGS是一个相对昂贵的测试项目,在诊断颅内感染的临床应用中是否具有相应的卫生经济意义还没有明确的研究。因此,研究者希望探讨mNGS检测在神经外科术后PCNSI中的临床应用价值。
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