Literature DB >> 35638833

Utility of Serum 1,3-β-d-Glucan Testing for Diagnosis and Prognostication in COVID-19-Associated Pulmonary Aspergillosis.

Matthias Egger1,2, Florian Prüller3, Robert Krause1,2, Juergen Prattes1,4, Martin Hoenigl1,2,5,6.   

Abstract

Entities:  

Keywords:  3-beta-d-glucan; Covid-19; Covid-19-associated pulmonary aspergillosis; ICU; diagnostics; β-d-glucan

Mesh:

Substances:

Year:  2022        PMID: 35638833      PMCID: PMC9241918          DOI: 10.1128/spectrum.01373-22

Source DB:  PubMed          Journal:  Microbiol Spectr        ISSN: 2165-0497


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LETTER

COVID-19-associated pulmonary aspergillosis (CAPA) has emerged as a life-threatening complication in patients admitted to intensive care units (ICUs) for COVID-19-associated acute respiratory failure (ARF). Two recent studies on the prognostic potential of serum 1,3-β-d-glucan (BDG) in ICU patients with COVID-19 ARF (1, 2) found positive serum BDG to be associated with 75% to 90% mortality, versus 42% to 47% mortality in those with negative serum BDG (P < 0.01; adjusted odds ratio of 1.3 per 10-point increase of BDG among patient with CAPA). While in some studies serum BDG results were also utilized as mycological evidence (3), the diagnostic potential of serum BDG for CAPA in ICUs remains controversial and larger analyses are lacking. We conducted a retrospective single center study, analyzing 116 serum samples obtained from 69 consecutive ICU patients admitted with COVID-19 ARF at the University Hospital of Graz, Austria, between March 2020 and April 2021 for BDG (4). BDG was tested according to previously described methods using reagents from the Fungitell assay (Associates of Cape Cod, Falmouth, MA) (5). CAPA cases were classified according to 2020 ECMM/ISHAM consensus criteria (6). Statistical analyses were performed using SPSS 25 (SPSS Inc., Chicago, IL, USA). Sensitivity and specificity for CAPA versus no CAPA were calculated for the manufacturer-recommended BDG cutoff (positive if ≥80 pg/mL). For BDG, receiver operating characteristic (ROC) curve analyses were performed and area under the curve (AUC) values were calculated including 95% confidence intervals (CI) for the outcome mortality in the ICU. Fisher’s exact test was used to compare mortality in those with positive and those with negative BDG test results. A two-sided P value of <0.05 was taken as cutoff for statistical significance. Three patients met criteria for probable CAPA, while 66 patients were classified as not having CAPA. Per-patient sensitivity and specificity of serum BDG for CAPA diagnosis are shown in Table 1. BDG positivity at ICU admission did not predict death in the ICU (AUC, 0.577; 95% CI, 0.44 to 0.71; 60% [6/10] mortality in those with positive BDG versus 42% [25/59] in those with negative BDG [P = 0.33]). For patients with two or more samples obtained, a single positive BDG test at any time point was associated with 75% mortality (6/8) versus 45% (10/22) in those with consistently negative BDG test results (P = 0.23).
TABLE 1

Sensitivity and specificity of serum BDG per patient (i.e., in patients with multiple samples a single positive serum BDG result was sufficient for classification as “BDG positive”), comparing proven/probable/possible CAPA versus no CAPA in ICU patients

CohortProven/probable/possible CAPA vs no CAPA (% [no. positive/total no.])
SensitivitySpecificity
Egger et al.a0 (0/3)85 (56/66)
Dellière et al. (1)44 (20/45)NAb
Ergün et al. (2)74 (29/39)42 (56/133)
Overall sensitivity/specificity56 (49/87)56 (112/199)

Data presented within this work.

NA, not available.

Sensitivity and specificity of serum BDG per patient (i.e., in patients with multiple samples a single positive serum BDG result was sufficient for classification as “BDG positive”), comparing proven/probable/possible CAPA versus no CAPA in ICU patients Data presented within this work. NA, not available. CAPA is characterized by tissue invasive growth in the lungs during early infection. Angioinvasion typically occurs only in later stages of the disease, resulting in limited sensitivity of serum biomarker testing (7). Combining results of our study with those from prior studies (1, 2), per-patient sensitivity and specificity of serum BDG for CAPA were 56% (49/87) and 56% (112/199), respectively. While prevalence of CAPA varies, a median prevalence of 10% (4) and 15% (8) has been reported in the largest multicenter studies conducted to date. When applying calculated sensitivity/specificity to a prevalence of 10% or 15%, the positive predictive values (PPVs) of BDG for CAPA diagnosis are 12% and 18%, respectively, while negative predictive values (NPVs) are 92% and 88%. The PPVs and NPVs were therefore only marginally higher than the disease frequency itself, rendering the diagnostic performance equally effective as picking by chance. While taking into account the relatively small sample size number, we conclude that serum BDG probably has no role in either diagnosing or ruling out CAPA in settings with prevalence rates below 15%. Larger studies are needed to confirm that finding. While BDG measured at the time of ICU admission was also lacking prognostic potential, BDG may, to some extent, predict survival in COVID-19 ICU patients, particularly when measured closer to the fatal event, in its function as a marker of the leaky gut (9, 10).
  10 in total

1.  Risk factors and outcome of pulmonary aspergillosis in critically ill coronavirus disease 2019 patients-a multinational observational study by the European Confederation of Medical Mycology.

Authors:  Juergen Prattes; Joost Wauters; Daniele Roberto Giacobbe; Jon Salmanton-García; Johan Maertens; Marc Bourgeois; Marijke Reynders; Lynn Rutsaert; Niels Van Regenmortel; Piet Lormans; Simon Feys; Alexander Christian Reisinger; Oliver A Cornely; Tobias Lahmer; Maricela Valerio; Laurence Delhaes; Kauser Jabeen; Joerg Steinmann; Mathilde Chamula; Matteo Bassetti; Stefan Hatzl; Riina Rautemaa-Richardson; Philipp Koehler; Katrien Lagrou; Martin Hoenigl
Journal:  Clin Microbiol Infect       Date:  2021-08-26       Impact factor: 8.067

2.  Automation of serum (1→3)-beta-D-glucan testing allows reliable and rapid discrimination of patients with and without candidemia.

Authors:  Florian Prüller; Jasmin Wagner; Reinhard B Raggam; Martin Hoenigl; Harald H Kessler; Martie Truschnig-Wilders; Robert Krause
Journal:  Med Mycol       Date:  2014-06-06       Impact factor: 4.076

3.  Prevalence of putative invasive pulmonary aspergillosis in critically ill patients with COVID-19.

Authors:  Alexandre Alanio; Sarah Dellière; Sofiane Fodil; Stéphane Bretagne; Bruno Mégarbane
Journal:  Lancet Respir Med       Date:  2020-05-20       Impact factor: 30.700

Review 4.  Defining and managing COVID-19-associated pulmonary aspergillosis: the 2020 ECMM/ISHAM consensus criteria for research and clinical guidance.

Authors:  Philipp Koehler; Matteo Bassetti; Arunaloke Chakrabarti; Sharon C A Chen; Arnaldo Lopes Colombo; Martin Hoenigl; Nikolay Klimko; Cornelia Lass-Flörl; Rita O Oladele; Donald C Vinh; Li-Ping Zhu; Boris Böll; Roger Brüggemann; Jean-Pierre Gangneux; John R Perfect; Thomas F Patterson; Thorsten Persigehl; Jacques F Meis; Luis Ostrosky-Zeichner; P Lewis White; Paul E Verweij; Oliver A Cornely
Journal:  Lancet Infect Dis       Date:  2020-12-14       Impact factor: 25.071

Review 5.  Specificity Influences in (1→3)-β-d-Glucan-Supported Diagnosis of Invasive Fungal Disease.

Authors:  Malcolm A Finkelman
Journal:  J Fungi (Basel)       Date:  2020-12-29

6.  Aspergillus Lateral Flow Assay with Digital Reader for the Diagnosis of COVID-19-Associated Pulmonary Aspergillosis (CAPA): a Multicenter Study.

Authors:  Brice Autier; Juergen Prattes; P Lewis White; Maricela Valerio; Marina Machado; Jessica Price; Matthias Egger; Jean-Pierre Gangneux; Martin Hoenigl
Journal:  J Clin Microbiol       Date:  2021-10-13       Impact factor: 5.948

7.  Fungal infections in mechanically ventilated patients with COVID-19 during the first wave: the French multicentre MYCOVID study.

Authors:  Jean-Pierre Gangneux; Eric Dannaoui; Arnaud Fekkar; Charles-Edouard Luyt; Françoise Botterel; Nicolas De Prost; Jean-Marc Tadié; Florian Reizine; Sandrine Houzé; Jean-François Timsit; Xavier Iriart; Béatrice Riu-Poulenc; Boualem Sendid; Saad Nseir; Florence Persat; Florent Wallet; Patrice Le Pape; Emmanuel Canet; Ana Novara; Melek Manai; Estelle Cateau; Arnaud W Thille; Sophie Brun; Yves Cohen; Alexandre Alanio; Bruno Mégarbane; Muriel Cornet; Nicolas Terzi; Lionel Lamhaut; Estelle Sabourin; Guillaume Desoubeaux; Stephan Ehrmann; Christophe Hennequin; Guillaume Voiriot; Gilles Nevez; Cécile Aubron; Valérie Letscher-Bru; Ferhat Meziani; Marion Blaize; Julien Mayaux; Antoine Monsel; Frédérique Boquel; Florence Robert-Gangneux; Yves Le Tulzo; Philippe Seguin; Hélène Guegan; Brice Autier; Matthieu Lesouhaitier; Romain Pelletier; Sorya Belaz; Christine Bonnal; Antoine Berry; Jordan Leroy; Nadine François; Jean-Christophe Richard; Sylvie Paulus; Laurent Argaud; Damien Dupont; Jean Menotti; Florent Morio; Marie Soulié; Carole Schwebel; Cécile Garnaud; Juliette Guitard; Solène Le Gal; Dorothée Quinio; Jeff Morcet; Bruno Laviolle; Jean-Ralph Zahar; Marie-Elisabeth Bougnoux
Journal:  Lancet Respir Med       Date:  2021-11-26       Impact factor: 30.700

8.  Combination of Mycological Criteria: a Better Surrogate to Identify COVID-19-Associated Pulmonary Aspergillosis Patients and Evaluate Prognosis?

Authors:  Sarah Dellière; Emmanuel Dudoignon; Sébastian Voicu; Magalie Collet; Sofiane Fodil; Benoit Plaud; Benjamin Chousterman; Stéphane Bretagne; Elie Azoulay; Alexandre Mebazaa; François Dépret; Bruno Mégarbane; Alexandre Alanio
Journal:  J Clin Microbiol       Date:  2022-01-05       Impact factor: 5.948

9.  Glucan rich nutrition does not increase gut translocation of beta-glucan.

Authors:  Martin Hoenigl; John Lin; Malcolm Finkelman; Yonglong Zhang; Maile Y Karris; Scott L Letendre; Ronald J Ellis; Leah Burke; Byron Richard; Thaidra Gaufin; Stéphane Isnard; Jean-Pierre Routy; Sara Gianella
Journal:  Mycoses       Date:  2020-11-21       Impact factor: 4.377

  10 in total

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