Advancing the Identification of Risk Factors for Invasive Fungal Disease in Children with Cancer
Marlon Barraza1,2, Romina Valenzuela2, Valentina Gutiérrez3,4
1Department of Clinical Pharmacy, Hospital Dr. Luis Calvo Mackenna, Santiago 8010037, Chile.
Adolescent males with cancer experiencing persistent high-risk febrile neutropenia (HRFN) face increased risk of invasive fungal disease (IFD). Early identification of risk factors like critical care transfer can guide targeted antifungal strategies.
Area of Science:
- Pediatric Oncology
- Infectious Diseases
- Mycology
Background:
- Invasive fungal disease (IFD) significantly contributes to morbidity and mortality in immunocompromised pediatric patients.
- Identifying specific risk factors for IFD in children with cancer and febrile neutropenia is crucial for timely intervention.
Purpose of the Study:
- To identify risk factors for invasive fungal disease (IFD) in immunocompromised pediatric cancer patients with persistent high-risk febrile neutropenia (HRFN).
- To develop and validate a predictive model for IFD risk stratification.
Main Methods:
- Multicenter prospective cohort study with nested retrospective analysis.
- Analysis of 174 episodes of persistent HRFN, identifying IFD cases and causative fungi (filamentous vs. yeasts).
- Logistic regression and survival analyses were used to determine significant risk factors.
Main Results:
- Invasive fungal disease (IFD) was confirmed in 19.5% of HRFN episodes.
- Significant risk factors for IFD included male sex (OR 4.04), adolescence (OR 4.65), C-reactive protein ≥ 90 mg/L (OR 3.13), and critical care unit transfer (OR 10.73).
- The predictive model showed strong discrimination (AUC 0.84) with high sensitivity (79.4%) and specificity (82.1%).
Conclusions:
- Adolescents, particularly males with severe clinical conditions and elevated inflammatory markers, are at the highest risk for IFD during HRFN.
- A risk factor-based model can aid in early risk stratification and guide targeted antifungal prophylaxis or therapy.
- External validation is needed to confirm results and optimize clinical applicability.
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