Cost-effectiveness analysis of metagenomic next-generation sequencing versus traditional bacterial cultures for postoperative central nervous system infections in critical care settings: a prospective pilot study

重症监护环境下术后中枢神经系统感染的宏基因组二代测序与传统细菌培养的成本效益分析:一项前瞻性试点研究

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Abstract

BACKGROUND: Early and accurate pathogen identification is crucial for managing central nervous system infections (CNSIs). While Metagenomic Next-Generation Sequencing (mNGS) offers rapid and sensitive pathogen detection, its cost-effectiveness in postoperative neurosurgical patients in critical care settings remains underexplored. Our study aims to investigate the clinical health economic value of mNGS in detecting pathogens of CNSIs after neurosurgery. METHODS: In this prospective pilot study, 60 patients with CNSIs at Beijing Tiantan Hospital ICU (March 2023-January 2024) were randomized 1:1 to mNGS or conventional pathogen culture groups. A decision-tree model compared cost-effectiveness using incremental cost-effectiveness ratios (ICERs). A decision-tree model was used to compare the cost-effectiveness between mNGS and traditional pathogen culture methods using incremental cost-effectiveness ratios (ICERs). RESULTS: From March 2023 to January 2024, 60 patients were included. mNGS demonstrated superior diagnostic efficiency with shorter turnaround time (1 vs 5 days; _P_<0.001) and lower anti-infective costs (¥18,000 vs ¥23,000; _P_=0.02). Despite higher detection costs (¥4,000 vs ¥2,000; _P_<0.001), the ICER of ¥36,700 per additional timely diagnosis suggested cost-effectiveness at China's GDP-based WTP threshold. No significant differences in hospitalization duration or total costs were observed (_P_>0.05). CONCLUSION: mNGS improves diagnostic efficiency and reduces antimicrobial expenditure for postoperative CNSIs in critical care, demonstrating favorable cost-effectiveness when considering clinical outcome gains.

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