Analysis of coinfections in patients with hematologic malignancies and COVID-19 by next-generation sequencing of bronchoalveolar lavage fluid

被引:0
|
作者
Shu, Wenxiu [1 ]
Yang, Qianqian [1 ]
Le, Jing [1 ]
Cai, Qianqian [1 ]
Dai, Hui [1 ]
Luo, Liufei [1 ]
Tong, Jiaqi [1 ]
Song, Yanping [1 ]
Chen, Bingrong [1 ]
Tang, Yaodong [2 ]
Jin, Dian [1 ]
机构
[1] Lihuili Hosp, Dept Hematol, Ningbo Med Ctr, Ningbo 315000, Peoples R China
[2] Ningbo Med Ctr, Lihuili Hosp, Dept Resp Med, Ningbo 315000, Peoples R China
关键词
COVID-19; Hematologic malignancy; Coinfection; Next-generation sequencing; EPSTEIN-BARR-VIRUS; PNEUMOCYSTIS PNEUMONIA; LYMPHOMA; DISEASE;
D O I
10.1186/s40001-024-02180-0
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundCoinfections in patients with coronavirus disease 2019 (COVID-19) affect patient prognosis. Patients with hematologic malignancies (HMs) are usually immunosuppressed and may be at high risk of coinfection, but few related data have been reported. Here, we conducted a retrospective study to explore coinfections in patients with HMs and COVID-19 by next-generation sequencing (NGS) of bronchoalveolar lavage fluid (BALF).MethodsThe data of hospitalized patients with pneumonia who underwent NGS analysis of BALF were reviewed. COVID-19 patients with HMs were enrolled in the HM group, and those without HMs were enrolled in the non-HM group. The coinfections of the two groups identified by NGS were analyzed.ResultsFifteen patients were enrolled in the HM group, and 14 patients were enrolled in the non-HM group. The coinfection rates in the HM group and non-HM group were 80.0% and 85.7%, respectively. The percentage of coinfected bacteria in the HM group was significantly lower than that in the non-HM group (20.0% vs 71.4%, p = 0.005). The coinfection rates of fungi and viruses were 60.0% and 35.7%, respectively, in the HM group and 35.7% and 78.6%, respectively, in the non-HM group, with no significant differences. The most common coexisting pathogen in patients with HMs was Pneumocystis jirovecii (33.3%), and the most common coexisting pathogen in patients without HMs was human gammaherpesvirus 4 (50%). Coinfection with herpesviruses occurred frequently in both groups.ConclusionsOur study showed that the majority of hospitalized patients with COVID-19 are likely to be co-infected with other pathogens. Pneumocystis jiroveci and herpesvirus are commonly coinfected pathogens in patients with HMs. Bacterial coinfection is rare in patients with HMs but is more common in patients without HMs.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Optimizing a Metatranscriptomic Next-Generation Sequencing Protocol for Bronchoalveolar Lavage Diagnostics
    Huang, Weihua
    Yin, Changhong
    Wang, Guiqing
    Rosenblum, Jeremy
    Krishnan, Sankaran
    Dimitrova, Nevenka
    Fallon, John T.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2019, 21 (02): : 251 - 260
  • [32] Transcriptome analysis on bronchoalveolar lavage in COVID-19 patients
    Patrucco, Filippo
    Gavelli, Francesco
    Solidoro, Paolo
    MINERVA BIOTECHNOLOGY AND BIOMOLECULAR RESEARCH, 2022, 34 (04): : 143 - 144
  • [33] The Application of Metagenomic Next-Generation Sequencing in Detection of Pathogen in Bronchoalveolar Lavage Fluid and Sputum Samples of Patients with Pulmonary Infection
    Shi, Wanghui
    Zhu, Shanshan
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2021, 2021
  • [34] The diagnostic value of bronchoalveolar lavage fluid metagenomic next-generation sequencing in critically ill patients with respiratory tract infections
    Hu, Xiaohang
    Jiang, Liqing
    Liu, Xiaowei
    Chang, Hong
    Dong, Haixin
    Yan, Jinyan
    Zhou, Xiaoya
    Kong, Min
    MICROBIOLOGY SPECTRUM, 2024, 12 (08):
  • [35] A Preliminary Study on Microbiota Characteristics of Bronchoalveolar Lavage Fluid in Patients with Pulmonary Nodules Based on Metagenomic Next-Generation Sequencing
    Yuan, Qian
    Wang, Xiaojin
    Li, Zhanglin
    Guo, Wenzhuo
    Cheng, Hua
    Cao, Qingdong
    BIOMEDICINES, 2023, 11 (02)
  • [36] High utility of bronchoalveolar lavage fluid metagenomic next-generation sequencing approach for etiological diagnosis of pneumonia
    Jiang, Lingyu
    Han, Lin
    Zhong, Yonglong
    Zhang, Meng
    Li, Jianliang
    Rao, Guanhua
    Xiang, Shulin
    BMC INFECTIOUS DISEASES, 2024, 24 (01)
  • [37] Bronchoalveolar lavage fluid and lung biopsy tissue metagenomic next-generation sequencing in the diagnosis of pulmonary cryptococcosis
    Huang, Jinbao
    Weng, Heng
    Ye, Ling
    Jiang, Meiqin
    Chen, Lulu
    Li, Yangyu
    Li, Hongyan
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2024, 14
  • [38] Proteomic characteristics of bronchoalveolar lavage fluid in critical COVID-19 patients
    Zeng, Hao-Long
    Chen, Di
    Yan, Jingjun
    Yang, Qing
    Han, Qiang-Qiang
    Li, Shu-Sheng
    Cheng, Liming
    FEBS JOURNAL, 2021, 288 (17) : 5190 - 5200
  • [39] CHARACTERIZATION OF HEMATOLOGIC MALIGNANCIES WITH ANCHORED MULTIPLEX PCR AND NEXT-GENERATION SEQUENCING
    Johnson, L.
    Bessette, M.
    Berlin, A.
    Haimes, J.
    Fugere, D.
    Griffin, L.
    Trifilo, K.
    Manoj, N.
    Wang, H.
    Ryan, R.
    Hussaini, M.
    Kudlow, B.
    HAEMATOLOGICA, 2017, 102 : 367 - 367
  • [40] Characterization of Hematologic Malignancies with Anchored Multiplex PCR and Next-Generation Sequencing
    Haimes, J.
    Johnson, L.
    Van Deusen, B.
    Bessette, M.
    Berlin, A.
    Manoj, N.
    Banos, M.
    Reckase, E.
    Trifilo, K.
    Griffin, L. M.
    Licon, A.
    Wang, H.
    Mishkin, S.
    Harrison, T.
    Ryan, R.
    Hussaini, M.
    Stahl, J.
    Kudlow, B.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2017, 19 (02): : S47 - S47