15
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Diagnosis of Legionnaires’ Disease Assisted by Next-Generation Sequencing in a Patient with COVID-19

      letter

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Coinfection in COVID-19 patients is associated with worsening outcome. Among patients with COVID-19, Legionella pneumophila, a common cause of pneumonia, has been reported as a co-occurring respiratory infection. A nonspecific clinical presentation, however, makes an early diagnosis difficult. Bronchoalveolar lavage fluid was collected from a patient suffering from COVID-19 and presenting with pneumonia and sent for metagenomic analysis. Differential abundance analysis was carried out by comparing each taxon reads per million between the bronchoalveolar lavage fluid sample and the negative control. Two replicates of metagenomic sequencing were conducted on bronchoalveolar lavage fluid samples. Within each replicated sequencing, one negative control was sequenced for comparison of taxon abundance in the BALF sample. In both replicates, Legionella pneumophila was the only taxon with significantly higher abundance when compared with the negative control. PCR of the bronchoalveolar further confirmed the presence of L. pneumophila. Several studies have estimated that the incidence of Legionnaires’ disease co-infection in patients with COVID-19 infection is approximately 0% to 1.5%. There are some common characteristics of COVID-19 and co-infection with Legionnaires’ disease, making it difficult to diagnose bacterial infection early. The diagnosis of these cases is important due to the different treatments used. Current diagnostic tests for Legionnaires’ disease include conventional culture, urinary antigen for L. pneumophila serogroup 1, polymerase chain reaction, direct fluorescent antibody stain, and paired serology. The current study demonstrated that metagenomics is a promising approach that facilitated the diagnosis of Legionnaires’ disease.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

          Heng Li (2013)
          Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or long query sequences against a large reference genome such as human. It automatically chooses between local and end-to-end alignments, supports paired-end reads and performs chimeric alignment. The algorithm is robust to sequencing errors and applicable to a wide range of sequence lengths from 70bp to a few megabases. For mapping 100bp sequences, BWA-MEM shows better performance than several state-of-art read aligners to date. Availability and implementation: BWA-MEM is implemented as a component of BWA, which is available at http://github.com/lh3/bwa. Contact: hengli@broadinstitute.org 3 pages and 1 color figure
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Bacterial co-infection and secondary infection in patients with COVID-19: a living rapid review and meta-analysis

            Background Bacterial co-pathogens are commonly identified in viral respiratory infections and are important causes of morbidity and mortality. The prevalence of bacterial infection in patients infected with SARS-CoV-2 is not well understood. Aims To determine the prevalence of bacterial co-infection (at presentation) and secondary infection (after presentation) in patients with COVID-19. Sources We performed a systematic search of MEDLINE, OVID Epub and EMBASE databases for English language literature from 2019 to April 16, 2020. Studies were included if they (a) evaluated patients with confirmed COVID-19 and (b) reported the prevalence of acute bacterial infection. Content Data were extracted by a single reviewer and cross-checked by a second reviewer. The main outcome was the proportion of COVID-19 patients with an acute bacterial infection. Any bacteria detected from non-respiratory-tract or non-bloodstream sources were excluded. Of 1308 studies screened, 24 were eligible and included in the rapid review representing 3338 patients with COVID-19 evaluated for acute bacterial infection. In the meta-analysis, bacterial co-infection (estimated on presentation) was identified in 3.5% of patients (95%CI 0.4–6.7%) and secondary bacterial infection in 14.3% of patients (95%CI 9.6–18.9%). The overall proportion of COVID-19 patients with bacterial infection was 6.9% (95%CI 4.3–9.5%). Bacterial infection was more common in critically ill patients (8.1%, 95%CI 2.3–13.8%). The majority of patients with COVID-19 received antibiotics (71.9%, 95%CI 56.1 to 87.7%). Implications Bacterial co-infection is relatively infrequent in hospitalized patients with COVID-19. The majority of these patients may not require empirical antibacterial treatment.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Bacterial and fungal coinfection among hospitalised patients with COVID-19: A retrospective cohort study in a UK secondary care setting

              Objectives We investigate the incidence of bacterial and fungal co-infection of hospitalised patients with confirmed SARS-CoV-2 in this retrospective observational study across two London hospitals during the first UK wave of COVID-19. Methods A retrospective case-series of hospitalised patients with confirmed SARS-CoV-2 by PCR was analysed across two acute NHS hospitals (February 20–April 20; each isolate reviewed independently in parallel). This was contrasted to a control group of influenza positive patients admitted during 2019/20 flu season. Patient demographics, microbiology, and clinical outcomes were analysed. Results 836 patients with confirmed SARS-CoV-2 were included; 27/836(3.2%) had early confirmed bacterial isolates identified (0-5 days post-admission) rising to 51/836(6.1%) throughout admission. Blood cultures, respiratory samples, pneumococcal or legionella urinary antigens, and respiratory viral PCR panels were obtained from 643(77%), 112(13%), 249(30%), 246(29%) and 250(30%) COVID-19 patients, respectively. A positive blood culture was identified in 60(7.1%) patients, of which 39/60 were classified as contaminants. Bacteraemia secondary to respiratory infection was confirmed in two cases (1 community-acquired K. pneumoniae and 1 ventilator-associated E. cloacae). Line-related bacteraemia was identified in six patients (3 candida, 2 Enterococcus spp. and 1 Pseudomonas aeruginosa). All other community acquired bacteraemias(16) were attributed to non-respiratory infection. Zero concomitant pneumococcal, legionella or influenza infection was detected. A low yield of positive respiratory cultures was identified; S. aureus the most common respiratory pathogen isolated in community-acquired coinfection (4/24;16.7%) with pseudomonas and yeast identified in late-onset infection. Invasive fungal infections (n=3) were attributed to line related infections. Comparable rates of positive co-infection were identified in the control group of confirmed influenza infection; clinically relevant bacteraemias (2/141;1.4%), respiratory cultures (10/38;26.1%) and pneumococcal-positive antigens (1/19;5.2%) were low. Conclusion We find a low frequency of bacterial co-infection in early COVID hospital presentation, and no evidence of concomitant fungal infection, at least in the early phase of COVID-19.
                Bookmark

                Author and article information

                Journal
                Infect Drug Resist
                Infect Drug Resist
                idr
                Infection and Drug Resistance
                Dove
                1178-6973
                20 January 2023
                2023
                : 16
                : 355-362
                Affiliations
                [1 ]Department of Internal Medicine, Taichung Veterans General Hospital , Taichung, Taiwan
                [2 ]Department of Computer Science and Information Engineering, National Chung Cheng University , Chia-Yi, Taiwan
                [3 ]Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital , Taichung, Taiwan
                [4 ]College of Medicine, National Yang Ming Chiao Tung University , Taipei, Taiwan
                [5 ]Ph.D. Program in Translational Medicine, National Chung Hsing University , Taichung, Taiwan
                [6 ]Rong Hsing Research Center for Translational Medicine, National Chung Hsing University , Taichung, Taiwan
                [7 ]Division of Infectious Diseases, Department of Internal Medicine, Taichung Veterans General Hospital , Taichung, Taiwan
                Author notes
                Correspondence: Po-Yu Liu; Chia-Wei Liu, Tel +886 4 2359 2525, Fax +886 4 2359 2525 2111, Email pyliu@vghtc.gov.tw; chiaweiliu35@gmail.com
                [*]

                These authors contributed equally to this work

                Author information
                http://orcid.org/0000-0003-2098-8872
                Article
                396254
                10.2147/IDR.S396254
                9880021
                36714349
                a8e5580c-0392-4106-a283-68d92482a0d9
                © 2023 Huang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 05 November 2022
                : 03 January 2023
                Page count
                Figures: 2, Tables: 3, References: 32, Pages: 8
                Funding
                Funded by: Taiwan’s Ministry of Science and Technology;
                Funded by: Taichung Veterans General Hospital, open-funder-registry 10.13039/501100010101;
                YTH was supported in part by Taiwan’s Ministry of Science and Technology (109-2221-E-194 −038 -MY3). PYL was supported in part by Taiwan’s Ministry of Science and Technology (110-2314-B-075A-011), Taichung Veterans General Hospital (TCVGH-1113901D, TCVGH-1113901C).
                Categories
                Rapid Communication

                Infectious disease & Microbiology
                legionnaires’ disease,covid-19,co-infection,next-generation sequencing

                Comments

                Comment on this article