Clinical application and drug-use-guidance value of metagenomic next-generation sequencing in central nervous system infection

被引:0
作者
Lin, Ke [1 ,2 ]
Zhang, Hao-Cheng [1 ,2 ]
Zhang, Yi [1 ,2 ]
Zhou, Yang [1 ,2 ]
Fu, Zhang-Fan [1 ,2 ]
Wang, Hong-Yu [1 ,2 ]
Zhao, Yuan-Han [1 ,2 ]
Qiu, Chao [1 ,2 ,3 ,4 ]
Fan, Ming-Xiang [5 ]
Song, Jie-Yu [1 ,2 ]
Ai, Jing-Wen [1 ,2 ,8 ]
Zhang, Wen-Hong [1 ,2 ,3 ,4 ,6 ,7 ]
机构
[1] Fudan Univ, Huashan Hosp, Dept Infect Dis, Natl Med Ctr Infect Dis, Shanghai 200040, Peoples R China
[2] Fudan Univ, Shanghai Key Lab Infect Dis & Biosafety Emergency, Shanghai 200040, Peoples R China
[3] Fudan Univ, Shanghai Med Coll, Key Lab Med Mol Virol MOE MOH, Shanghai 200032, Peoples R China
[4] Fudan Univ, Inst Biomed Sci, Shanghai Med Coll, Shanghai 200032, Peoples R China
[5] Tongji Univ, Tongji Hosp, Sch Med, Dept Urol, Shanghai 200065, Peoples R China
[6] Fudan Univ, Sch Life Sci, State Key Lab Genet Engn, Shanghai 200438, Peoples R China
[7] Fudan Univ, Huashan Hosp, Natl Clin Res Ctr Aging & Med, Shanghai 200040, Peoples R China
[8] Fudan Univ, Huashan Hosp, Dis Infect Dis, 12 Wulumuqi Zhong Rd, Shanghai 200040, Peoples R China
来源
AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH | 2023年 / 15卷 / 01期
基金
中国国家自然科学基金;
关键词
Metagenomic next-generation sequencing; central nervous system infection; drug intensity; prognosis; diagnose; CRYPTOCOCCAL MENINGITIS; BACTERIAL-MENINGITIS; DIAGNOSIS; ADULTS;
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objective: Timely and precise etiology diagnosis is crucial for optimized medication regimens and better prognosis in central nervous system infections (CNS infections). We aimed to analyze the impact of mNGS tests on the management of patients with CNS infections. Methods: We conducted a single-center retrospective cohort study to analyze the value of mNGS in clinical applications. Three hundred sixty-nine patients with a CNS infection diagnosis were enrolled, and their clinical data were collected. CDI and DDI were defined in our study to describe the intensity of drug use in different groups. We used LOH and mRS to evaluate if the application of mNGS can benefit CNS infected patients. Results: mNGS reported a 91.67% sensitivity in culture-positive patients and an 88.24% specificity compared with the final diagnoses. Patients who participated with the mNGS test had less drug use, both total (58.77 vs. 81.18) and daily (22.6 vs. 28.12, P < 0.1, McNemar) intensity of drug use, and length of hospital-ization (23.14 vs. 24.29). Patients with a consciousness grading 1 and 3 had a decrease in CDI (Grade 1, 86.49 vs. 173.37; Grade 3, 48.18 vs. 68.21), DDI (Grade 1, 1.52 vs. 2.72; Grade 3, 2.3 vs. 2.45), and LOH (Grade 1, 32 vs. 40; Grade 3, 21 vs. 23) with the application of mNGS. Patients infected with bacteria in the CNS had a reduced CDI, DDI, and LOH in the mNGS group. This was compared with the TraE group that had 49% of patients altered medication plans, and 24.7% of patients reduced drug intensity four days after mNGS reports. This was because of the reduction of drug types. Conclusion: mNGS showed its high sensitivity and specificity characteristics. mNGS may assist clinicians with more rational medication regimens and reduce the drug intensity for patients. The primary way of achieving this is to reduce the variety of drugs, especially for severe patients and bacterial infections. mNGS has the ability of improving the prognosis of CNS infected patients.
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页码:47 / +
页数:18
相关论文
共 24 条
[1]  
[Anonymous], GLOB BURD MEN
[2]  
Bahr NC, 2018, LANCET INFECT DIS, V18, P68, DOI [10.1016/s1473-3099(17)30474-7, 10.1016/S1473-3099(17)30474-7]
[3]   Adjunctive Dexamethasone in HIV-Associated Cryptococcal Meningitis [J].
Beardsley, J. ;
Wolbers, M. ;
Kibengo, F. M. ;
Ggayi, A. -B. M. ;
Kamali, A. ;
Cuc, N. T. K. ;
Binh, T. Q. ;
Chau, N. V. V. ;
Farrar, J. ;
Merson, L. ;
Phuong, L. ;
Thwaites, G. ;
Van Kinh, N. ;
Thuy, P. T. ;
Chierakul, W. ;
Siriboon, S. ;
Thiansukhon, E. ;
Onsanit, S. ;
Supphamongkholchaikul, W. ;
Chan, A. K. ;
Heyderman, R. ;
Mwinjiwa, E. ;
van Oosterhout, J. J. ;
Imran, D. ;
Basri, H. ;
Mayxay, M. ;
Dance, D. ;
Phimmasone, P. ;
Rattanavong, S. ;
Lalloo, D. G. ;
Day, J. N. .
NEW ENGLAND JOURNAL OF MEDICINE, 2016, 374 (06) :542-554
[4]   Community-acquired bacterial meningitis in adults in the Netherlands, 2006-14: a prospective cohort study [J].
Bijlsma, Merijn W. ;
Brouwer, Matthijs C. ;
Kasanmoentalib, E. Soemirien ;
Kloek, Anne T. ;
Lucas, Marjolein J. ;
Tanck, Michael W. ;
van der Ende, Arie ;
van de Beek, Diederik .
LANCET INFECTIOUS DISEASES, 2016, 16 (03) :339-347
[5]   CNS infection and immune privilege [J].
Forrester, John V. ;
McMenamin, Paul G. ;
Dando, Samantha J. .
NATURE REVIEWS NEUROSCIENCE, 2018, 19 (11) :655-671
[6]   Using Rapid Diagnostic Tests to Optimize Antimicrobial Selection in Antimicrobial Stewardship Programs [J].
Goff, Debra A. ;
Jankowski, Christopher ;
Tenover, Fred C. .
PHARMACOTHERAPY, 2012, 32 (08) :677-687
[7]  
Guo BF, 2021, CLIN UTILITY METAGEN
[8]   Detection of pediatric bacterial meningitis pathogens from cerebrospinal fluid by next-generation sequencing technology [J].
Guo, Ling-yun ;
Li, Yong-jun ;
Liu, Lin-lin ;
Wu, Hong-long ;
Zhou, Jia-li ;
Zhang, Ye ;
Feng, Wen-ya ;
Zhu, Liang ;
Hu, Bing ;
Hu, Hui-li ;
Chen, Tian-ming ;
Guo, Xin ;
Chen, He-ying ;
Yang, Yong-hong ;
Liu, Gang .
JOURNAL OF INFECTION, 2019, 78 (04) :332-335
[9]   A metagenomics-based diagnostic approach for central nervous system infections in hospital acute care setting [J].
Hasan, Mohammad Rubayet ;
Sundararaju, Sathyavathi ;
Tang, Patrick ;
Tsui, Kin-Ming ;
Lopez, Andres Perez ;
Janahi, Mohammad ;
Tan, Rusung ;
Tilley, Peter .
SCIENTIFIC REPORTS, 2020, 10 (01)
[10]   Acute bacterial meningitis in adults [J].
McGill, Fiona ;
Heyderman, Robert S. ;
Panagiotou, Stavros ;
Tunkel, Allan R. ;
Solomon, Tom .
LANCET, 2016, 388 (10063) :3036-3047