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Three-variable stratification tool identifies risk of invasive pulmonary aspergillosis in SFTS patientsNew Tool Helps Identify Fungal Infection Risk in SFTS Patients

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Key Takeaway
Consider using the three-variable tool to prioritize fungal diagnostic work-up in SFTS patients at high risk.

This meta-analysis and systematic review evaluates a three-variable diagnostic stratification tool designed to identify patients at risk of invasive pulmonary aspergillosis (IPA) or SFTS-associated pulmonary aspergillosis (SAPA). The analysis synthesized data from 2,342 patients in the meta-analysis and a single-center cohort of 220 patients. The study found that neurological symptoms showed a clearer pooled association with IPA/SAPA risk compared to other factors. Both ICU admission and corticosteroid use also showed positive but less precise pooled directions of effect regarding infection risk.

A single-center cohort validation of the tool reported an AUC of 0.910 (95% CI, 0.869 to 0.951) and a Brier score of 0.097. In this cohort, IPA/SAPA incidence increased significantly across risk groups: 3.7% in low-risk patients, 22.8% in medium-risk patients, and 83.6% in high-risk patients.

The authors note several limitations, including the lack of individual participant data for the meta-analysis and the use of a single-center retrospective cohort for tool validation. The model is not broadly generalizable at an individual level and should not be used as a standalone basis for antifungal treatment decisions. Clinically, the tool may assist in prioritizing fungal diagnostic work-up and surveillance intensity.

How this fits prior evidence

This meta-analysis addresses a gap in identifying high-risk patients with SFTS who may develop invasive pulmonary aspergillosis or SAPA. While prior coverage noted that systemic corticosteroid therapy can decrease hospital stay and fever duration in children with community-acquired pneumonia, this study specifically examines the association of corticosteroid use with fungal infection risk in SFTS patients.

Researchers analyzed data from over 2,300 patients to evaluate how well certain factors predict the risk of invasive pulmonary aspergillosis (IPA) or similar fungal infections in people with severe fever with thrombocytopenia syndrome (SFTS). The study looked at three main indicators: neurological symptoms, ICU admission, and the use of corticosteroids.

The results showed that neurological symptoms were a clear indicator of increased risk. While ICU admission and corticosteroid use also showed links to higher risk, these findings were less precise. In a smaller group of 220 patients, a specific three-variable tool was tested. This tool showed high accuracy in identifying those at risk, with infection rates rising from 3.7% in low-risk groups to over 83% in high-risk groups.

It is important to note that this tool is meant for risk stratification and does not replace clinical judgment. Because the data used to validate the tool came from a single center, it may not apply perfectly to every patient. This finding helps doctors decide where to focus more intensive testing and monitoring.

What this means for you:
A new three-variable tool can help identify patients at higher risk for fungal infections during SFTS treatment.

Common questions

What factors help predict the risk of a fungal infection?

The study identified three main factors: neurological symptoms, ICU admission, and corticosteroid use. Among these, neurological symptoms showed the clearest link to an increased risk of invasive pulmonary aspergillosis or similar infections in patients with severe fever with thrombocytopenia syndrome.

How accurate is this new diagnostic tool?

In a study of 220 patients, the three-variable tool showed high performance with an AUC of 0.910. The risk of infection was found to increase significantly based on the risk group: 3.7% for low-risk, 22.8% for medium-risk, and 83.6% for high-risk patients.

Can this tool be used to decide if a patient needs antifungal medicine?

No, the tool is not intended as a stand-alone basis for making treatment decisions. It is designed to help doctors prioritize which patients need more intense monitoring and diagnostic testing. You should always consult with a medical professional regarding specific treatment plans.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJul 2026
View Original Abstract ↓
BackgroundThis study aimed to develop and assess a meta-analysis-informed diagnostic stratification tool for invasive pulmonary aspergillosis (IPA) in patients with severe fever with thrombocytopenia syndrome (SFTS).MethodsA systematic review and meta-analysis were conducted to identify bedside clinical factors associated with IPA/SFTS-associated pulmonary aspergillosis (SAPA) in patients with SFTS. Because individual participant data were unavailable, pooled study-level odds ratios were translated into a pragmatic three-variable diagnostic stratification score rather than a conventional individual-level prediction model. The tool was assessed in a separate single-center retrospective cohort of 220 patients with SFTS, among whom 63 (28.6%) met the clinically ascertained IPA/SAPA endpoint.ResultsSix studies involving 2,342 patients with SFTS, including 407 patients with IPA/SAPA, were included in the quantitative meta-analysis. In the primary random-effects analyses, neurological symptoms showed the clearest pooled association with increased IPA/SAPA risk, whereas ICU admission and corticosteroid use showed positive but less precise pooled directions of effect. The final three-variable score assigned 9 points for neurological symptoms, 9 points for ICU admission, and 6 points for corticosteroid use, yielding a total score range of 0–24 points. In the single-center cohort-based assessment, the diagnostic stratification tool showed encouraging discrimination, with an AUC of 0.910 (95% CI, 0.869–0.951) and a Brier score of 0.097 after cohort-based logistic recalibration. The observed IPA/SAPA incidence increased stepwise across low-, medium-, and high-risk groups: 3.7% (4/108), 22.8% (13/57), and 83.6% (46/55), respectively.ConclusionThis meta-analysis-informed diagnostic stratification tool showed encouraging cohort-based risk separation in a single-center retrospective assessment. It may help prioritize fungal diagnostic work-up and surveillance intensity in patients with SFTS and support more targeted diagnostic resource allocation and antifungal stewardship. However, it should not be used as a stand-alone basis for antifungal treatment decisions or as a broadly generalizable individual-level prediction model. External validation, local recalibration, and prospective multicenter evaluation are required before clinical implementation.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=5115813, identifier CRD420251115813.
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