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Secondary analysis of 342 sepsis patients reveals limited diagnostic utility for serum biomarkers in invasive candidiasis diagnosisDoctors tested blood markers to find infection signs in sick patients quickly

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Key Takeaway
Single antigen tests with adjusted cutoffs may suffice for diagnosis, while combining biomarkers offers no advantage and antibody assays show low sensitivity.

This secondary analysis evaluated serum biomarkers in 342 sepsis patients at high risk for invasive candidiasis across eighteen German intensive care units. Researchers measured beta-(1->3)-D-glucan, mannan, and anti-Candida antibodies to assess diagnostic performance against manufacturer cutoffs versus adjusted values.

Results indicated that only antigen levels were significantly elevated in patients with invasive candidiasis or candidemia. In contrast, anti-Candida antibody levels showed no significant elevation. Sensitivity for diagnosing invasive candidiasis using beta-D-glucan at eighty percent specificity was forty-six percent, while sensitivity for candidemia reached sixty-four percent.

Comparisons between different antigen assays revealed no significant differences in area under the curve. Furthermore, combining multiple biomarkers offered no diagnostic advantage over using a single biomarker. Antibody assays demonstrated low sensitivity, with values below twenty-eight percent for invasive candidiasis and below forty-three percent for candidemia.

The study highlights that using a single antigen test with a cohort-adapted cutoff may be sufficient for diagnosis. Avoiding complex biomarker combinations could potentially reduce healthcare costs, though results require confirmation in larger studies with diverse patient groups.

Researchers looked at blood samples from 342 patients in German hospitals who were very sick with sepsis. They wanted to see if special blood markers could help find a specific type of fungal infection called invasive candidiasis. The team checked three different kinds of markers: two that show parts of the fungus and one that shows the body's immune response.

The results showed that the fungus parts in the blood went up when the infection was present. However, the immune response markers did not change much. When doctors set a specific limit for the best fungus marker, it correctly found the infection about forty-six percent of the time for the general group. It found the infection about sixty-four percent of the time for patients with a more severe form of the disease.

Trying to use more than one test together did not help doctors find the infection better. Using just one specific test with a setting adjusted for this group of patients might be enough. This approach could save money by avoiding the need for expensive combinations of tests. Doctors should be careful and wait for more studies before changing how they treat patients.

What this means for you:
One specific blood test adjusted for this group finds infections better than mixing many tests together.

Study Details

Study typeRct
EvidenceLevel 2
PublishedMay 2026
View Original Abstract ↓
Invasive 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--Ag-Plus [Platelia-Mn] and Serion-ELISA-antigen- [Serion-Mn]), and anti- antibodies (Platelia--Ab-Plus, Serion-ELISA--IgA/IgM/IgG, and Virclia--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 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- 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 antigen levels, not anti- 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- 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 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.
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