Diagnostic performance of β-(1→3)-D-glucan, two Candida antigen, and five anti-Candida antibody assays in ICU patients with sepsis and high risk for invasive candidiasis: a secondary endpoint of the CandiSep randomized clinical trial
Clinical Snapshot
PICO Framework
| P — Population | 342 sepsis patients at high risk for invasive Candida infection in 18 German intensive care units |
| I — Intervention | Eight biomarker assays: β-(1→3)-D-glucan, two Candida antigen assays (Platelia-Mn, Serion-Mn), and five anti-Candida antibody assays |
| C — Comparator | Clinical diagnosis of invasive Candida infection and candidemia as reference standard |
| O — Outcomes | Diagnostic sensitivity, specificity, area under ROC curve for invasive Candida infection and candidemia detection |
Bottom Line
This diagnostic accuracy study of 342 high-risk ICU patients found that Candida antigen assays (β-D-glucan, mannan) significantly outperformed anti-Candida antibody tests for detecting invasive candidiasis. At manufacturer cutoffs, all assays showed unsatisfactory performance, but optimized thresholds improved diagnostic yield. β-D-glucan achieved 46% sensitivity and 80% specificity for invasive infection using a 3-fold higher cutoff (>280 pg/mL). Antibody assays were influenced by colonization and offered limited diagnostic value. Combining multiple biomarkers provided no advantage over single-test strategies. The study suggests a single optimized antigen assay may be sufficient for clinical use, potentially reducing costs. However, the modest diagnostic performance, small candidemia cohort (n=14), and single-country setting limit immediate clinical implementation. Larger validation studies across diverse populations are needed before widespread adoption of these modified cutoffs.
Key Findings
P Value: Antigen levels significantly elevated in ICI patients (p<0.05), antibody levels not significantly different
Effect Size: At 80% specificity: BDG sensitivity 46% (95% CI: 31.4-60.8%) for ICI, 64% (95% CI: 35.1-87.2%) for candidemia
Primary Outcome: Diagnostic sensitivity and specificity for invasive Candida infection detection
Nnt Or Sensitivity: Optimal cutoffs: BDG >280 pg/mL (3-fold increase), Platelia-Mn >50 pg/mL, Serion-Mn >0.7 U/mL
Confidence Interval: Wide confidence intervals, particularly for candidemia due to small sample size
Clinical Application
Requires laboratory capability for specialized fungal biomarker testing and cutoff optimization Relevant to Australian ICUs; TGA-approved assays available; aligns with ASID guidelines for invasive fungal infection diagnosis; cost considerations for PBS funding of multiple biomarker testing ICU patients with sepsis at high risk for invasive candidiasis
Abstract
Invasive Candida infection (ICI) is the most common fungal infection in critically ill patients. This study analyzed the performance of various biomarkers in sera from the CandiSep trial, a randomized, multicenter trial including 342 sepsis patients at high risk for ICI across 18 German intensive care units. ICI and candidemia were diagnosed in 48 (14.0%) and 14 (4.1%) patients, respectively. Sera collected on 2 consecutive days at sepsis onset were analyzed for β-(1→3)-D-glucan (BDG; Fungitell), mannan (Platelia-Candida-Ag-Plus [Platelia-Mn] and Serion-ELISA-antigen-Candida [Serion-Mn]), and anti-Candida antibodies (Platelia-Candida-Ab-Plus, Serion-ELISA-Candida albicans-IgA/IgM/IgG, and Virclia-Candida albicans-germ-tube-antibody-IgG-Monotest). Only antigen levels (BDG, Platelia-Mn, Serion-Mn), but not anti-Candida antibody levels, were significantly elevated in ICI patients. Antigen levels were unaffected by Candida colonization, while antibody levels were significantly increased. Sensitivity and specificity at the manufacturer's cutoffs were unsatisfactory. Performance improved by adjusting cutoffs: BDG required a 3-fold increase, while all others required lowering. At 80% specificity, sensitivities (95% confidence intervals) for the diagnosis of ICI and candidemia were as follows: BDG (cutoff >280 pg/mL), 46% (31.4-60.8) and 64% (35.1-87.2); Platelia-Mn (cutoff >50 pg/mL), 38% (24.0-52.6) and 64% (35.1-87.2); Serion-Mn (cutoff >0.7 U/mL), 38% (24.0-52.6) and 50% (23.0-77.0), and below 28% and 43% for all antibody assays. Area under the receiver operating characteristic curve comparisons showed no significant differences between antigen assays. Combining biomarkers, either simultaneously or sequentially, offered no diagnostic advantage over single-biomarker use. In conclusion, anti-Candida antibody assays are likely influenced by colonization and have limited diagnostic utility. Antigen assays offer similar diagnostic value but require cutoff optimization. Combining biomarkers did not enhance diagnostic yield in our cohort.IMPORTANCEOur main findings based on our specific ICU cohort were as follows: (i) only Candida antigen levels, not anti-Candida antibody levels, were significantly elevated in ICI and candidemia. (ii) In patients without ICI, Candida colonization was not associated with altered antigen levels, but with elevated antibody levels. (iii) Sensitivity and specificity at the manufacturer's cutoffs were unsatisfactory, and cutoffs should be significantly adjusted. Potential optimal cutoff values are proposed by us. (iv) The evaluated antigen assays demonstrated overall comparable diagnostic performance in this study. (v) Anti-Candida antibody assays did not provide a meaningful diagnostic contribution. (vi) The combination of biomarkers offered no diagnostic advantage over the use of individual biomarkers, neither simultaneously nor sequentially. Our results suggest that the use of a single Candida antigen test with a cohort-adapted cutoff value may be sufficient. Furthermore, avoiding biomarker combinations could potentially reduce healthcare costs. The clinical implications of these findings should be interpreted with caution, given the limited data with associated large confidence intervals for candidemia and the cohort-specific nature of the study. Our results should therefore be confirmed in larger studies and additionally with other patient groups.
References
- 1.Standl, L., Huber, T., Bloos, F., Thomas-Rüddel, D., Träger, J., Kluge, S., Fichtner, F., Simon, P., Kogelmann, K., de Heer, G., Kuhn, S.-O., Jarczak, D., Motsch, J., Hempel, G., Weiler, N., Weyland, A., Drüner, M., Gründling, M., Meybohm, P., Richter, D., Moerer, O., Günther, U., Schädler, D., Zarbock, A., Putensen, C., Castellanos, I., Kurzai, O., Schlattmann, P., Cornely, O. A., Bauer, M., Lehmann, T., Valenza, G., Bogdan, C., & Held, J. (2026). Diagnostic performance of β-(1→3)-D-glucan, two Candida antigen, and five anti-Candida antibody assays in ICU patients with sepsis and high risk for invasive candidiasis: A secondary endpoint of the CandiSep randomized clinical trial. *Journal of Clinical Microbiology*. https://doi.org/10.1128/jcm.01500-25
Related Research
Journal of critical care
Artificial intelligence and computerized decision support in adult intensive care: A systematic review of randomized controlled trials
3 Aug 2026
Current opinion in critical care
Smart feeding: the role of artificial intelligence and integrated nutrition platforms in the ICU
2 Aug 2026
Brain and behavior
Machine Learning-Based Prediction of Poor Outcomes in Intracerebral Hemorrhage: A Systematic Review and Meta-Analysis
1 Aug 2026
This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service