Literature DB >> 25081986

A systematic review and meta-analysis of diagnostic accuracy of serum 1,3-β-D-glucan for invasive fungal infection: Focus on cutoff levels.

Song He1, Ju-Ping Hang2, Ling Zhang2, Fang Wang2, De-Chun Zhang3, Fang-Hong Gong4.   

Abstract

To assess the diagnostic accuracy of 1,3-β-D-glucan (BDG) assay for diagnosing invasive fungal infections (IFI), we searched the Medline and Embase databases, and studies reporting the performance of BDG assays for the diagnosis of IFI were identified. Our analysis was mainly focused on the cutoff level. Meta-analysis was performed using conventional meta-analytical pooling and bivariate analysis. Our meta-analysis covered 28 individual studies, in which 896 out of 4214 patients were identified as IFI positive. The pooled sensitivity, specificity, diagnostic odds ratio, and area under the summary receiver operating characteristic (AUC-SROC) curve were 0.78 [95% confidence interval (CI), 0.75-0.81], 0.81 (95% CI, 0.80-0.83), 21.88 (95% CI, 12.62-37.93), and 0.8855, respectively. Subgroup analyses indicated that in cohort studies, the cutoff value of BDG at 80 pg/mL had the best diagnostic accuracy, whereas in case-control studies the cutoff value of 20 pg/mL had the best diagnostic accuracy; moreover, the AUC-SROC in cohort studies was lower than that in case-control studies. The cutoff value of 60 pg/mL has the best diagnostic accuracy with the European Organization for Research and Treatment of Cancer/Mycoses Study Group criteria as a reference standard. The 60 pg/mL cutoff value has the best diagnostic accuracy with the Fungitell assay compared to the BDG detection assay. The cutoff value of 20 pg/mL has the best diagnostic accuracy with the Fungitec G-test assay, and the cutoff value of 11 pg/mL has the best diagnostic accuracy with the Wako assay. Serum BDG detection is highly accurate for diagnosing IFIs. As such, 60 pg/mL of BDG level can be used as the best cutoff value to distinguish patients with IFIs from patients without IFI (mainly due to Candida and Aspergillus).
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  1,3-β-d-Glucan (BDG); diagnosis; invasive fungal infection (IFI); meta-analysis; systematic review

Mesh:

Substances:

Year:  2014        PMID: 25081986     DOI: 10.1016/j.jmii.2014.06.009

Source DB:  PubMed          Journal:  J Microbiol Immunol Infect        ISSN: 1684-1182            Impact factor:   4.399


  33 in total

1.  Evaluation of serum (1 → 3)-β-D-glucan clinical performance: kinetic assessment, comparison with galactomannan and evaluation of confounding factors.

Authors:  P Pini; C Bettua; C F Orsi; C Venturelli; F Forghieri; S Bigliardi; L Faglioni; F Luppi; L Serio; M Codeluppi; M Luppi; C Mussini; M Girardis; Elisabetta Blasi
Journal:  Infection       Date:  2015-10-16       Impact factor: 3.553

2.  β-D-Glucan Screening for Detection of Invasive Fungal Disease in Children Undergoing Allogeneic Hematopoietic Stem Cell Transplantation.

Authors:  Antonia Koltze; Peter Rath; Stefan Schöning; Jörg Steinmann; Thomas A Wichelhaus; Peter Bader; Konrad Bochennek; Thomas Lehrnbecher
Journal:  J Clin Microbiol       Date:  2015-06-03       Impact factor: 5.948

3.  Comparable Serum and Plasma 1,3-β-d-Glucan Values Obtained Using the Wako β-Glucan Test in Patients with Probable or Proven Fungal Diseases.

Authors:  Elena De Carolis; Federica Marchionni; Riccardo Torelli; Patrizia Posteraro; Gennaro De Pascale; Simone Carelli; Maurizio Sanguinetti; Brunella Posteraro
Journal:  J Clin Microbiol       Date:  2019-04-26       Impact factor: 5.948

4.  Diagnosing Invasive Pulmonary Aspergillosis in Hematology Patients: a Retrospective Multicenter Evaluation of a Novel Lateral Flow Device.

Authors:  Toine Mercier; Alexander Schauwvlieghe; Elizabeth de Kort; Albert Dunbar; Marijke Reynders; Ellen Guldentops; Bart Rijnders; Paul E Verweij; Katrien Lagrou; Johan Maertens
Journal:  J Clin Microbiol       Date:  2019-03-28       Impact factor: 5.948

5.  Serum and bal beta-D-glucan for the diagnosis of Pneumocystis pneumonia in HIV positive patients.

Authors:  D Salerno; D Mushatt; L Myers; Y Zhuang; N de la Rua; E J Calderon; D A Welsh
Journal:  Respir Med       Date:  2014-11       Impact factor: 3.415

6.  A statistical approach for determination of disk diffusion-based cutoff values for systematic characterization of wild-type and non-wild-type bacterial populations in antimicrobial susceptibility testing.

Authors:  Giorgia Valsesia; Malgorzata Roos; Erik C Böttger; Michael Hombach
Journal:  J Clin Microbiol       Date:  2015-03-11       Impact factor: 5.948

7.  Comparison of Serum Galactomannan and 1,3-Beta-D-Glucan Determination for Early Detection of Invasive Pulmonary Aspergillosis in Critically Ill Patients with Hematological Malignancies and Septic Shock.

Authors:  Tobias Lahmer; Sebastian Rasch; Christopher Schnappauf; Analena Beitz; Roland M Schmid; Wolfgang Huber
Journal:  Mycopathologia       Date:  2016-05-03       Impact factor: 2.574

8.  Comparative Analysis of the Wako β-Glucan Test and the Fungitell Assay for Diagnosis of Candidemia and Pneumocystis jirovecii Pneumonia.

Authors:  Ricarda Friedrich; Elfriede Rappold; Christian Bogdan; Jürgen Held
Journal:  J Clin Microbiol       Date:  2018-08-27       Impact factor: 5.948

9.  Challenges with Utilizing the 1,3-Beta-d-Glucan and Galactomannan Assays To Diagnose Invasive Mold Infections in Immunocompromised Children.

Authors:  Alice J Hsu; Pranita D Tamma; Sean X Zhang
Journal:  J Clin Microbiol       Date:  2021-08-18       Impact factor: 5.948

Review 10.  Core Recommendations for Antifungal Stewardship: A Statement of the Mycoses Study Group Education and Research Consortium.

Authors:  Melissa D Johnson; Russell E Lewis; Elizabeth S Dodds Ashley; Luis Ostrosky-Zeichner; Theoklis Zaoutis; George R Thompson; David R Andes; Thomas J Walsh; Peter G Pappas; Oliver A Cornely; John R Perfect; Dimitrios P Kontoyiannis
Journal:  J Infect Dis       Date:  2020-08-05       Impact factor: 5.226

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