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Launes C, Camacho J, Pons-Espinal M, López-Labrador FX, Esteva C, Cabrerizo M, Fernández-García MD, Fogeda M, Masa-Calles J, López-Perea N, Echevarría JE, Muñoz-Almagro C, Tarragó D. Hybrid capture shotgun sequencing detected unexpected viruses in the cerebrospinal fluid of children with acute meningitis and encephalitis. Eur J Clin Microbiol Infect Dis 2024; 43:863-873. [PMID: 38438704 PMCID: PMC11108891 DOI: 10.1007/s10096-024-04795-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/26/2024] [Indexed: 03/06/2024]
Abstract
PURPOSE Investigation of undiagnosed cases of infectious neurological diseases, especially in the paediatric population, remains a challenge. This study aimed to enhance understanding of viruses in CSF from children with clinically diagnosed meningitis and/or encephalitis (M/ME) of unknown aetiology using shotgun sequencing enhanced by hybrid capture (HCSS). METHODS A single-centre prospective study was conducted at Sant Joan de Déu University Hospital, Barcelona, involving 40 M/ME episodes of unknown aetiology, recruited from May 2021 to July 2022. All participants had previously tested negative with the FilmArray Meningitis/Encephalitis Panel. HCSS was used to detect viral nucleic acid in the patients' CSF. Sequencing was performed on Illumina NovaSeq platform. Raw sequence data were analysed using CZ ID metagenomics and PikaVirus bioinformatics pipelines. RESULTS Forty episodes of M/ME of unknown aetiology in 39 children were analysed by HCSS. A significant viral detection in 30 CSF samples was obtained, including six parechovirus A, three enterovirus ACD, four polyomavirus 5, three HHV-7, two BKV, one HSV-1, one VZV, two CMV, one EBV, one influenza A virus, one rhinovirus, and 13 HERV-K113 detections. Of these, one sample with BKV, three with HHV-7, one with EBV, and all HERV-K113 were confirmed by specific PCR. The requirement for Intensive Care Unit admission was associated with HCSS detections. CONCLUSION This study highlights HCSS as a powerful tool for the investigation of undiagnosed cases of M/ME. Data generated must be carefully analysed and reasonable precautions must be taken before establishing association of clinical features with unexpected or novel virus findings.
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Affiliation(s)
- Cristian Launes
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Departament de Medicina i Especialitats Medicoquirúrgiques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Juan Camacho
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain
| | - Marina Pons-Espinal
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - F Xavier López-Labrador
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Genomics & Health Department, FISABIO-Public Health Foundation, Valencia, Spain
- Department of Microbiology and Ecology, Medical School, University of Valencia, Valencia, Spain
| | - Cristina Esteva
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - María Cabrerizo
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain
| | - María Dolores Fernández-García
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain
| | | | - Josefa Masa-Calles
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Avda Monforte de Lemos 5, Madrid, Spain
| | - Noemí López-Perea
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro Nacional de Epidemiología, Instituto de Salud Carlos III, Avda Monforte de Lemos 5, Madrid, Spain
| | - Juan Emilio Echevarría
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain
| | - Carmen Muñoz-Almagro
- Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Medicine, Universitat Internacional de Catalunya, Barcelona, Spain
| | - David Tarragó
- CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda- Pozuelo km 2, 28220, Majadahonda, Spain.
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Li Q, Wang R, Xu H, Zhang L, Fu Y, Tian J, Liu M, Feng G, Zeng Y, Chen X, Xie Z. Epidemiology and Disease Burden of Hospitalized Children With Viral Central Nervous System Infections in China, 2016 to 2020. Pediatr Neurol 2023; 138:38-44. [PMID: 36356470 DOI: 10.1016/j.pediatrneurol.2022.09.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 09/14/2022] [Accepted: 09/22/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Viral central nervous system (CNS) infections seriously threaten the life and health of children, with a high mortality and severe sequelae in China and globally. Surveillance of viral CNS infections in children is important, especially in hospitalized children, to facilitate disease evaluation. METHODS In this study, we collected the data on the discharged Face Sheet of Medical Records from database from 2016 to 2020 and analyzed the epidemiologic characteristics and disease burden of hospitalized children (≤18 years old) with viral CNS infections in China. We classified the discharge diagnosis of viral CNS infection as viral encephalitis (VE), viral meningitis (VM), viral meningoencephalitis (VME), viral encephalomyelitis (VEM), and viral meningomyelitis (VMM). RESULTS A total of 42,641 cases of viral CNS infections were included in the database, consisting of 39,279 cases with VE (92.47%), 2011 cases with VM (4.73%), 1189 cases with VME (2.80%), 118 cases with VEM (0.28%), and 44 cases with VMM (0.10%). The number of hospitalized patients with viral CNS infections accounted for 0.74% (42,641 of 5,790,910) of all hospitalized cases. The onset of viral CNS infections presented seasonal characteristic, with peaks in June to July and December to January. Seizures are the most frequent complication of this disorder. Median length of stay and inpatient expenditures for patients with viral CNS infections were 9 days and 1144.36 USD. Causative viruses were identified in 4.33% (1848 of 42,641) of patients. CONCLUSIONS This study will help understand the clinical epidemiology and disease burden of hospitalized children with viral CNS infections in China.
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Affiliation(s)
- Qi Li
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Ran Wang
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Hui Xu
- Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Linlin Zhang
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Yiliang Fu
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Jiao Tian
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Mengjia Liu
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China
| | - Guoshuang Feng
- Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Yueping Zeng
- Medical Record Management Office, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Xiangpeng Chen
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China.
| | - Zhengde Xie
- Beijing Key Laboratory of Pediatric Respiratory Infectious Diseases, Key Laboratory of Major Diseases in Children, Ministry of Education, National Clinical Research Center for Respiratory Diseases, Laboratory of Infection and Virology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China; Research Unit of Critical Infection in Children, 2019RU016, Chinese Academy of Medical Sciences, Beijing, China.
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Karaaslan A, Çetin C, Köle MT, Çağ Y, Tekol SD, Akın Y. Investigation of the Etiological Causes of Central Nervous System Infection in Children with Multiplex PCR. J PEDIAT INF DIS-GER 2022. [DOI: 10.1055/s-0042-1749647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Objective The aim of this study is to investigate the causative agents of central nervous system (CNS) infection in hospitalized pediatric patients by multiplex polymerase chain reaction.
Methods We retrospectively reviewed the medical records of children who underwent lumbar puncture with suspected CNS infection between September 2019 and September 2021. The cerebrospinal fluid (CSF) samples were evaluated by the BioFire FilmArray Meningitis/Encephalitis (ME) Panel.
Results The etiology of the infection was established in 13,02% (n = 25) cases. Human herpesvirus (HHV) type 6 was the most commonly identified pathogen 60% (n = 15), followed by enterovirus 20% (n = 5), Streptococcus pneumoniae 8% (n = 2), Streptococcus agalactiae 4% (n = 1), HHV type 1 4% (n = 1), and Listeria monocytogenes 4% (n = 1). The statistical analysis showed that the age of the group with enterovirus was younger than the age of the group with other causative microorganisms and the group with HHV-6 (respectively p: 0.032; p: 0.011). The hospitalization periods of the group with enterovirus and HHV-6 were shorter than the hospitalization periods of the other causative microorganisms (respectively p: 0.016; p: 0.000) and the absolute neutrophil count values of the group with HHV-6 were lower than the group of other causative microorganisms (p: 0.015).
Conclusion Our study identified HHV-6 as the main cause of CNS infection in Istanbul during coronavirus disease 2019 pandemic when isolation measures were taken. The duration of hospital stay was found to be shorter in CNS infection caused by viral agents. Revealing the causative agent in the CSF is a fast and effective method that prevents unnecessary antibiotic treatment and shortens the hospitalization period of patients.
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Affiliation(s)
- Ayşe Karaaslan
- Department of Pediatric Infectious Diseases, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
| | - Ceren Çetin
- Department of Pediatric Infectious Diseases, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
| | - Mehmet Tolga Köle
- Department of Pediatrics, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
| | - Yakup Çağ
- Department of Pediatrics, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
| | - Serap Demir Tekol
- Department of Microbiology, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
| | - Yasemin Akın
- Department of Pediatrics, University of Health Sciences, Kartal Dr. Lütfi Kırdar City Hospital, Istanbul, Turkey
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