Next Article in Journal
The Entomopathogenic Fungus Beauveria bassiana Shows Its Toxic Side within Insects: Expression of Genes Encoding Secondary Metabolites during Pathogenesis
Previous Article in Journal
Interactions between Core Elements of the Botrytis cinerea Circadian Clock Are Modulated by Light and Different Protein Domains
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Is ß-d-glucan Relevant for the Diagnosis and Follow-Up of Intensive Care Patients with Yeast-Complicated Intra-Abdominal Infection?

1
Surgical ICU, Department of Anesthesiology and Critical Care Medicine, University Hospital of Amiens Picardy, 80054 Amiens, France
2
SSPC Research Unit, University Jules Verne of Picardy, 80054 Amiens, France
3
Biostatistical Unit, Direction de la Recherche Clinique, University Hospital of Amiens Picardy, 80054 Amiens, France
4
Mycology Laboratory, University Hospital of Amiens Picardy, 80054 Amiens, France
*
Author to whom correspondence should be addressed.
J. Fungi 2022, 8(5), 487; https://doi.org/10.3390/jof8050487
Submission received: 20 March 2022 / Revised: 24 April 2022 / Accepted: 4 May 2022 / Published: 6 May 2022
(This article belongs to the Section Fungal Pathogenesis and Disease Control)

Abstract

:
The usefulness of (1,3)-ß-d-glucan (BDG) detection for the diagnosis of intra-abdominal candidiasis and treatment monitoring is unknown. A prospective, single-center study of consecutive patients admitted to an ICU with complicated intra-abdominal infection (IAI) over a 2-year period was conducted. BDG was measured in the peritoneal fluid and serum between day 1 (D1) and D10. Patients with a positive peritoneal fluid yeast culture (YP) were compared to those with a negative yeast culture (YN). The evolution of serum BDG was compared in the two groups. Seventy patients were included (sixty-five analyzed): YP group (n = 19) and YN group (n = 46). Median peritoneal BDG concentration during surgery was 2890 pg.mL−1 [IQR: 942–12,326] in the YP group vs. 1202 pg.mL−1 [IQR: 317–4223] in the YN group (p = 0.13). Initial serum BDG concentration was 130 pg.mL−1 [IQR: 55–259] in the YP group vs. 88 pg.mL−1 [IQR: 44–296] in the YN group (p = 0.78). No difference in evolution of serum BDG concentrations was observed between the groups (p = 0.18). In conclusion, neither peritoneal BDG nor serum BDG appear to be good discriminating markers for the diagnosis of yeast IAI. In addition, monitoring the evolution of serum BDG in yeast IAI did not appear to be of any diagnostic value.

1. Introduction

Intra-abdominal infections (IAIs) are the second most common type of severe infection in the intensive care unit (ICU), with a high mortality rate reaching 30% [1]. In the vast majority of cases, IAIs are polymicrobial in origin. Yeasts are responsible for 13–30% of IAIs according to the literature [2,3,4,5,6]. Although yeast pathogenicity in IAI has been challenged, there is a consensus in favor of treatment, especially in the most severe cases, despite the lack of randomized clinical trials [7,8]. Isolation of yeasts has been associated with mortality in post-operative IAI [9] and, more recently, in community-acquired IAI [10]. However, at the bedside it is difficult to know which patient could benefit from empiric antifungal treatment. It would be possible to treat all ICU patients empirically with an IAI, but this is not reasonable for reasons of (i) patient security, (ii) economic aspects and (iii) antimicrobial stewardship (including antifungal).
Several approaches have been proposed to identify the patients who would benefit from antifungal treatment, including direct examination of peritoneal fluid for yeasts [11] and a predictive score suited to IAI [10,12]. (1-3)-ß-d-glucan (BDG), a component of the yeast cell wall, has been proposed for the diagnosis of candidemia, at a threshold of 80 pg.mL−1 for Fungitell® assay [13,14,15,16]. More recently, the evolution of serum BDG levels was associated with the success or failure of antifungal treatment for candidemia [17]. However, data concerning IAI are scarce and difficult to interpret [18,19]. Furthermore, the use of BDG for the diagnosis of invasive candidiasis has a weak recommendation and a moderate degree of evidence [20].
The aim of this study was to evaluate serum BDG kinetics in a group of patients treated for yeast IAIs compared to a group of patients with yeast-negative IAI. Secondary evaluation criteria included an assessment of the diagnostic performance of initial serum and peritoneal BDG in yeast IAI.

2. Patients and Methods

2.1. Study Design

This was a prospective, observational, cohort study of consecutive patients hospitalized in the ICU with complicated IAI over a 2-year period. Patients with a yeast-positive peritoneal fluid culture (YP) were compared to those with a yeast-negative culture (YN).

2.2. Study Population

All consecutive adult patients hospitalized in the ICU after surgery with a diagnosis of complicated IAI were screened for eligibility. The definition of complicated IAI was made according to previous reports [21,22]. Briefly, complicated intra-abdominal infections extend beyond the source organ into the peritoneal space. They cause peritoneal inflammation and are associated with local or diffuse peritonitis. They can be community-acquired (e.g., appendicitis), nosocomial or post-operative. The diagnosis of complicated infection is made with an association of clinical signs (abdominal pain, fever or hypothermia, nausea or vomiting, etc.), biological signs (elevated or low white blood cell count), a CT scan showing localized or diffuse infection, and surgery with purulent peritoneal fluid coming from the source organ. They can be associated with organ failure.
Non-inclusion criteria included: known allergy to echinocandins; life-expectancy ≤48 h; withdrawal of care order; and red blood cell transfusion in the previous 3 months. Both groups of patients received antimicrobial treatment according to the recent consensus statement [7]. Antifungal treatment with an echinocandin (caspofungin) was given systematically to patients in the YP group.

2.3. Data Collection

The following data were recorded: medical history (Charlson score [23]); type of IAI (localized or generalized, community-acquired or nosocomial, location of the perforation, etiology). SAPS2 [24] and SOFA [25] scores were calculated at inclusion and the SOFA score was calculated daily until day 10 (D10). Daily routine laboratory results were noted until D10. Duration of mechanical ventilation, duration of catecholamine use, ICU length of stay, hospital length of stay, and outcome at D28 (dead or alive) were also recorded. Failure rate was calculated at the end of treatment (D10). This was defined as: any reoperation; death; no improvement of SOFA scores by D5; or modification of antimicrobial or antifungal treatment according to microbiological or mycological examinations.

2.4. (1,3)-ß-d-glucan Assays

A peritoneal sample and blood sample were taken during surgery, and blood samples were taken daily thereafter in a 5 mL dry tube until D10. The tubes were centrifuged at 8000 rpm for 10 min at 5 °C and the serum was aliquoted into Eppendorf® tubes and stored in a freezer at −80 °C until BDG determination. Consumables used were cellulose-free and tested before the study. Clinicians were aware of the results because they were performed all together at the end of the study.
All (1-3)-BDG assays with Fungitell® Trial (Associates of Cape Cod, Inc., East Falmouth, MA, USA) were performed at the same time at the end of the study. It was validated only for the serum sample. Proposed thresholds of the manufacturer are the following: <60 pg.mL−1, low probability of yeast infection; >80 pg.mL−1, high probability of infection.

2.5. Yeast Peritoneal Culture

The peritoneal fluid was collected just at the beginning of surgery before any intervention. It was sent directly to a mycological lab for culture. No other fluid was collected in drains. It was then seeded on 3 specific yeast media: (i) CHROMagar (Becton Dickinson Paris, France) at 35 °C, (ii) Sabouraud with chloramphenicol and gentamicin at 30 °C (Biomerieux, Lyon, France) and (iii) liquid Sabourand with chloramphenicol and gentamicin at 35 °C (Biomerieux, Lyon, France). The identification of fungi was performed by a MALDI-TOF Mass Spectrometry System (Bruker Daltonics®, Billerica, MA, USA) and in vitro antifungal susceptibility testing was determined by the Sensititre YeastOne® (Thermo Fisher, Waltham, MA, USA).

2.6. Endpoints

The primary endpoint was the comparison of serum BDG kinetics between the YP and YN group. Secondary endpoints were the performance of initial serum and peritoneal BDG to diagnose yeast IAI.

2.7. Statistical Analysis

The sample size was calculated to obtain a Cohen effect size of 0.74 for the slopes of BDG between the groups [26]. Thirty patients per group were needed to demonstrate this effect, considered as medium to high according to Cohen’s classification.
The results are presented as mean ± standard deviation (SD) for variables with a normal distribution, and as median and interquartile range [IQR] for variables with a non-normal distribution. Qualitative variables are expressed as percentages with their 95% confidence intervals [CI]. Analysis of variance for repeated measures was used for the primary endpoint. Post-hoc analyses were performed using the Student’s t-test with Bonferroni correction. For the secondary endpoints, initial serum and peritoneal BDG levels were compared using the Wilcoxon test. An ROC curve analysis was carried out to evaluate the performance of serum and peritoneal BDG measurements for the diagnosis of yeast IAI. Demographic characteristics, laboratory test results, and outcomes were compared using the Student’s t-test or Wilcoxon tests depending on the distribution of the variables, and the chi2 test with Yates’ correction if necessary or Fischer’s exact test for qualitative variables. p < 0.05 was considered statistically significant.

3. Results

3.1. Study Population

Seventy patients were screened and five were excluded from the analysis (no peritoneal fluid examination (n = 3), refusal to participate (n = 2)). Sixty-five patients were therefore included in the final analysis (YP group (n = 19), YN group (n = 46)). Mean age was 65.6 ± 12.4 years and 38 (58.5%) were male. Two-thirds of the patients had nosocomial IAI and 73% had generalized infection. Overall mortality at hospital discharge was 29.3% (19/65). The demographic characteristics, type of infection, severity scores, clinical parameters, and main laboratory test results for the YP and YN groups are shown in Table 1. No significant difference was observed between the groups. Twenty-one strains of yeasts were isolated from the peritoneal fluid: 14 Candida albicans, 4 C. glabrata, 2 C. tropicalis, and 1 C. krusei. All these strains were susceptible to caspofungin. Only one patient in the YP group had a positive blood culture on admission to C. albicans.

3.2. Primary and Secondary Endpoints

No difference in the slope for BDG was observed between the YP and YN groups (p = 0.18) (Figure 1). Concerning the secondary endpoints, there was no significant difference in initial values for peritoneal BDG (1202.5 pg.mL−1 [IQR: 317.5–4223.5] YN group vs. 2890.5 pg.mL−1 [IQR: 942.5–12,326.5] YP group; p = 0.135) and serum BDG (88.0 pg.mL−1 [IQR: 44.5–296.0] YN group vs. 130.0 pg.mL−1 [IQR: 54.7–259.7] YP group; p = 0.785) between the two groups (Figure 2). A total of 2 consecutive serum BDG > 80 pg.mL−1 were observed in 15 patients in the YP group (78.9%) and 27 patients in the YN group (57.7%), p = 0.13. A single serum BDG > 200 pg.mL−1 was observed in 14 patients in the YP group (73.7%) and 28 in the YN group (60.9%), p = 0.33.
The ROC curve used to analyze the performance of these two tests for the diagnosis of YP IAI is shown in Figure 3. The area under the curve (AUC) was 0.621 [95% CI: 0.491–0.739] for peritoneal BDG (p = 0.11) and 0.52 [95% CI: 0.394–0.649] for serum BDG (p = 0.77).
The failure rate was 67.7%. The values of initial peritoneal BDG (2049.5 pg.mL−1 [IQR: 514.0–12,805.0] in the failure group vs. 840 pg.mL−1 [IQR: 203.0–4036.5] in the success group; p = 0.124) and initial serum BDG (154 pg.mL−1 [IQR: 54.5–310.5] in the failure group vs. 76 pg.mL−1 [IQR: 31.3–159.5] in the success group; p = 0.06) were not significantly different between the groups. The main outcomes are shown in Table 2. Briefly, mortality was not different between groups. However, the duration of mechanical ventilation and catecholamine use were shorter in the YN group than in the YP group. The success rate at the end of treatment was not significantly higher in the YN group (p = 0.08). There was no difference in initial serum and peritoneal BDG for in-hospital mortality: initial serum BDG was 129 pg.mL−1 [43–270] in the alive group and 93 pg.mL−1 [52–458] in the death group, p = 0.67; initial peritoneal BDG was 1228 pg.mL−1 [251–4953] in the alive group and 2207 pg.mL−1 [788–13,250] in the death group, p = 0.67.

4. Discussion

The main result of this study is the lack of any significant difference in the evolution of BDG between patients with YP IAI and those with YN IAI. Furthermore, neither initial peritoneal nor serum BDG were discriminating factors for the diagnosis of yeast IAI.
Available data about the usefulness of BDG for the diagnosis and monitoring of treatment in yeast-complicated IAI in ICU patients are scarce. The first published study evaluated the usefulness of serum BDG measurements to diagnose blood-culture-negative intra-abdominal candidiasis [19]. The authors found that two consecutive serum levels ≥80 pg.mL−1 had a sensitivity of 95% and specificity of 78% for the diagnosis of yeast IAI [19]. Furthermore, serum BDG was found to decrease in IAI responding to treatment, while it increased in patients with no response to treatment. The first concern was the great variability in serum BDG values whatever the group (uncolonized with Candida, colonized with Candida without antifungal treatment, colonized with Candida receiving preemptive antifungals, or documented yeast IAI). All groups had some patients with serum BDG ≤80 pg.mL−1 and some with serum BDG ≥80 pg.mL−1. It was impossible to know which group a patient was in using only BDG level. In our study, we did not find any difference in serum BDG between YP and YN patients, with serum BDG having a poor diagnostic performance from ROC curves. The slopes for the evolution of serum BDG levels from inclusion to D10 were not different in our study despite systematic antifungal treatment in the YP group. The second study published was a prospective randomized trial evaluating an antifungal drug for the preemptive treatment of patients with gastrointestinal surgery at risk of yeast IAI [27]. The rate of yeast IAI was low (10%), independent of antifungal treatment. However, the slope for serum BDG was positive in patients who will be yeast-infected when compared to a negative slope in those who will not be [27]. The third study was a small retrospective cohort of 33 patients with complicated IAI, of whom 7 were found to be YP [18]. These authors found a significant difference in peritoneal BDG between YP and YN patients (1461 pg.mL−1 in the YP group vs. 224 pg.mL−1 in the YN group). The values for BGD found in our study were much higher in both groups, without any significant difference. In the same way, the variability in peritoneal BDG in this third study was very high, as in our study. The diagnostic performance of BDG measurement could not be evaluated in such a retrospective study with few patients.
One of the main questions about our results is why we observed high peritoneal and serum BDG concentrations, even when yeast cultures were negative. Unlike candidemia, IAIs are often polymicrobial and may involve both bacteria and yeasts [3]. IAI is often due to a perforation of the gut, leading to fecal contamination of the peritoneum. The content of the gut could help us to understand our results. The healthy human mycobiome contains many fungal species, subject to environmental factors [28]. These have a close interaction with their host and dysbiosis of fungal communities has been associated with some diseases [29,30]. Candida species are frequently encountered [31]. However, many other fungal species have also been detected in the gut mycobiome: Saccharomyces, Penicillium, Aspergillus, Cryptococcus, Malassezia, Cladosporium spp. [28]. All of these species may colonize the gut at the same time and be a part of the inoculum in complicated IAI. Moreover, BDG is one of the most stable and common components of the cell wall of yeasts, molds, and dimorphic fungi [32,33]. This could explain why we observed such a high concentration in peritoneal fluid, and why it was higher in the YP group. For this reason, and unlike in candidemia, BDG is not relevant for the diagnosis of yeast IAI in polymycobial infections [13,14,34,35]. As the peritoneum is a semi-permeable membrane, the serum BDG is probably a reflection of peritoneum BDG with high concentrations in both groups.
No difference in mortality was observed between groups in the study. It was not designed to find some mortality differences. However, there was a tendency of higher serum BDG in the failure rate group and no difference was observed between initial serum and peritoneal BDG and mortality. It is difficult to conclude anything on secondary endpoints.
This study was a small, monocentric study. However, the calculated sample size was reached. All patients were consecutive patients under the same surgical team. The risk of misclassification between groups due to the sensitivity to peritoneal culture should be discussed. However, all peritoneal samples were sent to a mycological lab and were seeded on specific media to avoid false negative results. Furthermore, the sensitivity of peritoneal culture to yeast is clearly higher than that of blood culture [36]. A recent study did compare PCR approach to culture-based methods on the peritoneal fluid to detect yeasts’ pathogens. The overall agreement between the PCR assay and the culture method was good (κ = 0.79), and their sensitivities for the diagnosis of intraperitoneal candidiasis were 93.5% and 74.1%, respectively [36]. The measurement of BDG could be another concern. However, all peritoneal and serum specimens were centrifuged and frozen at −80 °C, and all analyses were performed at the same time at the end of the study with the same plates and reagents to limit variability in the analysis. The too-short timing of surveillance could be another bias. However, it is strictly the same as the duration of treatment we used. Another concern is about the treatment of yeast in complicated IAI. Currently, there are no prospective randomized trials on this topic, only retrospective studies with conflicting results. Clinicians should be aware that BDG is not a good marker for yeast IAI for the diagnosis and not follow the treatment with this marker.

5. Conclusions

In conclusion, neither peritoneal BDG nor serum BDG appear to be good discriminating markers for the diagnosis of yeast IAIs. Likewise, monitoring the evolution of serum BDG does not appear to be useful in yeast IAI. Future research should focus on new specific biomarkers for Candida infection rather than on panfungal biomarkers.

Author Contributions

Conceptualization, H.D., S.M., M.D. and T.C.; Formal analysis, H.D., S.M., L.V., F.T. and M.D.; Funding acquisition, H.D.; Investigation, S.M., L.V., P.-Y.M., N.A., F.T. and M.R.; Methodology, H.D. and M.D.; Project administration, H.D.; Resources, T.C.; Supervision, H.D.; Validation, H.D.; Writing—original draft, H.D., M.D. and T.C.; Writing—review and editing, H.D., S.M., L.V., P.-Y.M., N.A., F.T., M.D., M.R. and T.C. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by a local grant of the University Hospital of Amiens Picardy (ID-RCB: 2016-A02085-46).

Institutional Review Board Statement

The study was approved by a national ethics committee review bord (CPP Ile de France II: n°2017-02-03 RIPH 2°, 09 March 2017) and registered at ClinicalTrials.gov (ID: NCT03140748).

Informed Consent Statement

All patients received written information about the study and gave their consent to participate.

Data Availability Statement

All data analyzed during the current study are available by requesting the corresponding author.

Acknowledgments

The authors thank Sandrine Brisset for the CRF filling, the database cleaning and the monitoring of the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. De Waele, J.; Lipman, J.; Sakr, Y.; Marshall, J.C.; Vanhems, P.; Barrera Groba, C.; Leone, M.; Vincent, J.L.; EPIC II Investigators. Abdominal infections in the intensive care unit: Characteristics, treatment and determinants of outcome. BMC Infect. Dis. 2014, 14, 420. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Augustin, P.; Kermarrec, N.; Muller-Serieys, C.; Lasocki, S.; Chosidow, D.; Marmuse, J.P.; Valin, N.; Desmonts, J.M.; Montravers, P. Risk factors for multidrug resistant bacteria and optimization of empirical antibiotic therapy in postoperative peritonitis. Crit. Care 2010, 14, R20. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Blot, S.; Antonelli, M.; Arvaniti, K.; Blot, K.; Creagh-Brown, B.; de Lange, D.; De Waele, J.; Deschepper, M.; Dikmen, Y.; Dimopoulos, G.; et al. Epidemiology of intra-abdominal infection and sepsis in critically ill patients: “AbSeS”, a multinational observational cohort study and ESICM Trials Group Project. Intensive Care Med. 2019, 45, 1703–1717. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Chromik, A.M.; Meiser, A.; Holling, J.; Sulberg, D.; Daigeler, A.; Meurer, K.; Vogelsang, H.; Seelig, M.H.; Uhl, W. Identification of patients at risk for development of tertiary peritonitis on a surgical intensive care unit. J. Gastrointest. Surg. 2009, 13, 1358–1367. [Google Scholar] [CrossRef] [PubMed]
  5. de Ruiter, J.; Weel, J.; Manusama, E.; Kingma, W.P.; van der Voort, P.H. The epidemiology of intra-abdominal flora in critically ill patients with secondary and tertiary abdominal sepsis. Infection 2009, 37, 522–527. [Google Scholar] [CrossRef] [PubMed]
  6. Montravers, P.; Blot, S.; Dimopoulos, G.; Eckmann, S.; Eggimann, P.; Guirao, X.; Paiva, J.A.; Sganga, G.; De Waele, J. Therapeutic management of peritonitis: A comprehensive guide for intensivists. Intensive Care Med. 2016, 42, 1234–1247. [Google Scholar] [CrossRef]
  7. Montravers, P.; Dupont, H.; Leone, M.; Constantin, J.M.; Mertes, P.M.; Laterre, P.F.; Misset, B.; Bru, J.P.; Gauzit, R.; Sotto, A.; et al. Guidelines for management of intra-abdominal infections. Anaesth. Crit. Care Pain Med. 2015, 34, 117–130. [Google Scholar] [CrossRef] [Green Version]
  8. Solomkin, J.S.; Mazuski, J.E.; Bradley, J.S.; Rodvold, K.A.; Goldstein, E.J.C.; Baron, E.J.; O’Neill, P.J.; Chow, A.W.; Dellinger, E.P.; Eachempati, S.R.; et al. Diagnosis and Management of Complicated Intra-abdominal Infection in Adults and Children: Guidelines by the Surgical Infection Society and the Infectious Diseases Society of America. Clin. Infect. Dis. 2010, 50, 133–164. [Google Scholar] [CrossRef] [Green Version]
  9. Montravers, P.; Dupont, H.; Gauzit, R.; Veber, B.; Auboyer, C.; Blin, P.; Hennequin, C.; Martin, C. Candida as a risk factor for mortality in peritonitis. Crit. Care Med. 2006, 34, 646–652. [Google Scholar] [CrossRef]
  10. Dupont, H.; Guilbart, M.; Ntouba, A.; Perquin, M.; Petiot, S.; Regimbeau, J.M.; Chouaki, T.; Mahjoub, Y.; Zogheib, E. Can yeast isolation be predicted in complicated secondary non-postoperative intra-abdominal infections? Crit. Care 2015, 19, 60. [Google Scholar] [CrossRef] [Green Version]
  11. Dupont, H.; Paugam-Burtz, C.; Muller-Serieys, C.; Fierobe, L.; Chosidow, D.; Marmuse, J.P.; Mantz, J.; Desmonts, J.M. Predictive factors of mortality due to polymicrobial peritonitis with Candida isolation in the peritonnael fluid in critically ill patients. Arch. Surg. 2002, 137, 1341–1346. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Dupont, H.; Bourichon, A.; Paugam-Burtz, C.; Mantz, J.; Desmonts, J.M. Can yeast isolation in peritoneal fluid be predicted in intensive care unit patients with peritonitis? Crit. Care Med. 2003, 31, 752–757. [Google Scholar] [CrossRef] [PubMed]
  13. Angebault, C.; Lanternier, F.; Dalle, F.; Schrimpf, C.; Roupie, A.L.; Dupuis, A.; Agathine, A.; Scemla, A.; Paubelle, E.; Caillot, D.; et al. Prospective Evaluation of Serum beta-Glucan Testing in Patients With Probable or Proven Fungal Diseases. Open Forum Infect. Dis. 2016, 3, ofw128. [Google Scholar] [CrossRef] [PubMed]
  14. Koo, S.; Bryar, J.M.; Page, J.H.; Baden, L.R.; Marty, F.M. Diagnostic performance of the (1-->3)-beta-D-glucan assay for invasive fungal disease. Clin. Infect. Dis. 2009, 49, 1650–1659. [Google Scholar] [CrossRef]
  15. Mohr, J.F.; Sims, C.; Paetznick, V.; Rodriguez, J.; Finkelman, M.A.; Rex, J.H.; Ostrosky-Zeichner, L. Prospective survey of (1-->3)-beta-D-glucan and its relationship to invasive candidiasis in the surgical intensive care unit setting. J. Clin. Microbiol. 2011, 49, 58–61. [Google Scholar] [CrossRef] [Green Version]
  16. Presterl, E.; Parschalk, B.; Bauer, E.; Lassnigg, A.; Hajdu, S.; Graninger, W. Invasive fungal infections and (1,3)-beta-D-glucan serum concentrations in long-term intensive care patients. Int. J. Infect. Dis. 2009, 13, 707–712. [Google Scholar] [CrossRef] [Green Version]
  17. Jaijakul, S.; Vazquez, J.A.; Swanson, R.N.; Ostrosky-Zeichner, L. (1,3)-beta-D-glucan as a prognostic marker of treatment response in invasive candidiasis. Clin. Infect. Dis. 2012, 55, 521–526. [Google Scholar] [CrossRef] [Green Version]
  18. Novy, E.; Laithier, F.X.; Machouart, M.C.; Albuisson, E.; Guerci, P.; Losser, M.R. Determination of 1,3-beta-D-glucan in the peritoneal fluid for the diagnosis of intra-abdominal candidiasis in critically ill patients: A pilot study. Minerva Anestesiol. 2018, 84, 1369–1376. [Google Scholar] [CrossRef]
  19. Tissot, F.; Lamoth, F.; Hauser, P.M.; Orasch, C.; Flückiger, U.; Siegemund, M.; Zimmerli, S.; Calandra, T.; Bille, J.; Eggimann, P.; et al. ß-Glucan Antigenemia Anticipates Diagnosis of Blood Culture–Negative Intraabdominal Candidiasis. Am. J. Respir. Crit. Care Med. 2013, 188, 1100–1109. [Google Scholar] [CrossRef]
  20. Bassetti, M.; Marchetti, M.; Chakrabarti, A.; Colizza, S.; Garnacho-Montero, J.; Kett, D.H.; Munoz, P.; Cristini, F.; Andoniadou, A.; Viale, P.; et al. A research agenda on the management of intra-abdominal candidiasis: Results from a consensus of multinational experts. Intensive Care Med. 2013, 39, 2092–2106. [Google Scholar] [CrossRef]
  21. Lopez, N.; Kobayashi, L.; Coimbra, R. A Comprehensive review of abdominal infections. World J. Emerg. Surg. 2011, 6, 7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Menichetti, F.; Sganga, G. Definition and classification of intra-abdominal infections. J. Chemother. 2009, 21, 3–4. [Google Scholar] [CrossRef] [PubMed]
  23. Charlson, M.E.; Pompei, P.; Ales, K.L.; MacKenzie, C.R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis. 1987, 40, 373–383. [Google Scholar] [CrossRef]
  24. Le Gall, J.R.; Lemeshow, S.; Saulnier, F. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. JAMA 1993, 270, 2957–2963. [Google Scholar] [CrossRef]
  25. Vincent, J.L.; Moreno, R.; Takala, J.; Willatts, S.; De Mendonca, A.; Bruining, H.; Reinhart, C.K.; Suter, P.M.; Thijs, L.G. The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure. On behalf of the Working Group on Sepsis-Related Problems of the European Society of Intensive Care Medicine. Intensive Care Med. 1996, 22, 707–710. [Google Scholar] [CrossRef]
  26. Cohen, J. A power primer. Psychol. Bull. 1992, 112, 155–159. [Google Scholar] [CrossRef]
  27. Knitsch, W.; Vincent, J.L.; Utzolino, S.; Francois, B.; Dinya, T.; Dimopoulos, G.; Ozgunes, I.; Valia, J.C.; Eggimann, P.; Leon, C.; et al. A randomized, placebo-controlled trial of preemptive antifungal therapy for the prevention of invasive candidiasis following gastrointestinal surgery for intra-abdominal infections. Clin. Infect. Dis. 2015, 61, 1671–1678. [Google Scholar] [CrossRef] [Green Version]
  28. Hallen-Adams, H.E.; Suhr, M.J. Fungi in the healthy human gastrointestinal tract. Virulence 2017, 8, 352–358. [Google Scholar] [CrossRef]
  29. Paterson, M.J.; Oh, S.; Underhill, D.M. Host-microbe interactions: Commensal fungi in the gut. Curr. Opin. Microbiol. 2017, 40, 131–137. [Google Scholar] [CrossRef]
  30. Chin, V.K.; Yong, V.C.; Chong, P.P.; Amin Nordin, S.; Basir, R.; Abdullah, M. Mycobiome in the Gut: A Multiperspective Review. Mediat. Inflamm. 2020, 2020, 9560684. [Google Scholar] [CrossRef] [Green Version]
  31. Hallen-Adams, H.E.; Kachman, S.D.; Kim, J.; Legge, R.M.; Martínez, I. Fungi inhabiting the healthy human gastrointestinal tract: A diverse and dynamic community. Fungal Ecol. 2015, 15, 9–17. [Google Scholar] [CrossRef] [Green Version]
  32. Ruiz-Herrera, J.; Ortiz-Castellanos, L. Cell wall glucans of fungi. A review. Cell Surf. 2019, 5, 100022. [Google Scholar] [CrossRef] [PubMed]
  33. Gow, N.A.R.; Latge, J.P.; Munro, C.A. The Fungal Cell Wall: Structure, Biosynthesis, and Function. Microbiol. Spectr. 2017, 5. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Alam, F.F.; Mustafa, A.S.; Khan, Z.U. Comparative evaluation of (1, 3)-beta-D-glucan, mannan and anti-mannan antibodies, and Candida species-specific snPCR in patients with candidemia. BMC Infect. Dis. 2007, 7, 103. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Mokaddas, E.; Khan, Z.U.; Ahmad, S.; Nampoory, M.R.N.; Burhamah, M. Value of (1-3)-b-D-glucan, Candida mannan and Candida DNA detection in the diagnosis of candidaemia. Clin. Microbiol. Infect. 2011, 17, 1546–1553. [Google Scholar] [CrossRef] [Green Version]
  36. Corrales, I.; Gimenez, E.; Aguilar, G.; Delgado, C.; Puig, J.; Izquierdo, A.; Belda, J.; Navarro, D. Detection of fungal DNA in peritoneal fluids by a PCR DNA low-density microarray system and quantitation of serum (1-3)-beta-D-glucan in the diagnosis of peritoneal candidiasis. Med. Mycol. 2015, 53, 199–204. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Time course of serum (1,3)-ß-d-glucan concentrations according to yeast positivity of peritoneal fluid in patients with complicated intra-abdominal infections. Values are in pg.mL−1.
Figure 1. Time course of serum (1,3)-ß-d-glucan concentrations according to yeast positivity of peritoneal fluid in patients with complicated intra-abdominal infections. Values are in pg.mL−1.
Jof 08 00487 g001
Figure 2. Initial serum and peritoneal (1,3)-ß-d-glucan concentrations in patients with complicated intra-abdominal infections. Values are in pg.mL−1.
Figure 2. Initial serum and peritoneal (1,3)-ß-d-glucan concentrations in patients with complicated intra-abdominal infections. Values are in pg.mL−1.
Jof 08 00487 g002
Figure 3. ROC curves of initial serum and peritoneal (1,3)-ß-d-glucan concentrations to diagnose intra-abdominal candidiasis.
Figure 3. ROC curves of initial serum and peritoneal (1,3)-ß-d-glucan concentrations to diagnose intra-abdominal candidiasis.
Jof 08 00487 g003
Table 1. Main characteristics of the study population according to peritoneal fluid yeast culture result.
Table 1. Main characteristics of the study population according to peritoneal fluid yeast culture result.
Yeast Negative Peritoneal Culture (n = 46)Yeast Positive Peritoneal Culture (n = 19)p Value
Age (years)69 [59–73]62 [59–71]0.42
Charlson score5.0 [3.5–7.0]5.0 [4.0–6.5]0.83
Sex, male25 (53.2%)14 (73.7%)0.21
SAPS2 score65 [51–74]66 [64–78]0.48
SOFA score14.0 [11.5–16.0]15.0 [11.5–16.0]0.29
Community IAI16 (34.0%)5 (26.3%)0.65
Generalized IAI33 (70.2%)15 (78.9%)0.68
Upper gastro-intestinal tract location14 (29.8%)10 (52.6%)0.35
MAP (mmHg)82 [70–90]77 [74–88]0.42
HR (bpm)100 [85–123]103 [90–114]0.97
Mechanical ventilation43 (91.5%)17 (89.5%)0.99
Procalcitonin (µg.L−1)3.6 [0.8–21.0]4.9 [0.9–25.3]0.89
CRP (mg.L−1)221 [153–299]150 [52–322]0.23
Values shown are median [interquartile range] or n (%). SAPS2: simplified acute physiologic score; SOFA: sepsis-related organ failure assessment; IAI: intra-abdominal infection; MAP: mean arterial pressure; HR: heart rate; CRP: C-reactive protein.
Table 2. Outcome of the patients according to peritoneal fluid yeast culture result.
Table 2. Outcome of the patients according to peritoneal fluid yeast culture result.
Yeast Negative Peritoneal Culture (n = 46)Yeast Positive Peritoneal Culture (n = 19)p Value
Duration of catecholamine use (days)3 [2–5]5 [3–9]0.005
Duration of MV (days)3 [1–6]6 [4–16.5]0.001
Success rate at EOT18 (39.1%)3 (15.8%)0.085
Mortality at day 2810 (21.7%)4 (21.5%)0.95
Mortality at hospital discharge14 (30.4%)5 (26.3%)0.74
Values shown are median [interquartile range] or n (%). MV: mechanical ventilation; EOT: end of treatment (day 10).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Dupont, H.; Malaquin, S.; Villeret, L.; Macq, P.-Y.; Ammenouche, N.; Tinturier, F.; Diouf, M.; Rumbach, M.; Chouaki, T. Is ß-d-glucan Relevant for the Diagnosis and Follow-Up of Intensive Care Patients with Yeast-Complicated Intra-Abdominal Infection? J. Fungi 2022, 8, 487. https://doi.org/10.3390/jof8050487

AMA Style

Dupont H, Malaquin S, Villeret L, Macq P-Y, Ammenouche N, Tinturier F, Diouf M, Rumbach M, Chouaki T. Is ß-d-glucan Relevant for the Diagnosis and Follow-Up of Intensive Care Patients with Yeast-Complicated Intra-Abdominal Infection? Journal of Fungi. 2022; 8(5):487. https://doi.org/10.3390/jof8050487

Chicago/Turabian Style

Dupont, Hervé, Stéphanie Malaquin, Léonie Villeret, Pierre-Yves Macq, Nacim Ammenouche, François Tinturier, Momar Diouf, Matthieu Rumbach, and Taieb Chouaki. 2022. "Is ß-d-glucan Relevant for the Diagnosis and Follow-Up of Intensive Care Patients with Yeast-Complicated Intra-Abdominal Infection?" Journal of Fungi 8, no. 5: 487. https://doi.org/10.3390/jof8050487

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop