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A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis
Published on: August 12, 2020
Fungal infection in the very low birthweight infant
1Department of Pediatrics, Division of Neonatology, University of Virginia School of Medicine, Charlottesville, Virginia 22908, USA. davidkaufman@virginia.edu
Purpose Of Review:
Fungal infections are prevalent in very low birthweight (<1500 g) infants and are associated with significant morbidity and mortality. A better understanding of the adherence factors, molecular diagnostics and risk factors for invasive fungal infection are important in treatment and prevention.
Recent Findings:
Animal studies have demonstrated that Candida readily adheres to apical microvilli and the junctions between enterocytes. Although antibiotics facilitate colonization, dissemination occurs with immunosuppression. The INT1 gene is associated with enhanced colonization and dissemination in these animal models. Dissemination is probably caused by yeast cell adherence and invasion, whereas tissue injury may be related to filamentous formation. Polymerase chain reaction techniques have demonstrated promise in neonatal patients and may not only detect bloodstream infection, but fungal infection at other sites. At the time of fungal sepsis, less than 28 weeks' gestation, thrombocytopenia, and previous exposure to broad-spectrum antibiotics continue to be risk factors for infection. Empiric therapy is still being defined and investigated. Fluconazole prophylaxis should be strongly considered in the most immature infants.
Summary:
Preventative strategies against fungal colonization and infection are critical in high-risk very low birthweight infants. Also promising is the ability of molecular diagnostics to detect infection earlier, allowing for prompt treatment, including central venous catheter removal. Identifying the highest risk very low birthweight infants for prophylaxis and empiric therapy may lead to better outcomes. Multicenter clinical trials of fluconazole prophylaxis to confirm its safety and efficacy, and of empiric treatment to test safety and outcomes are urgently needed.
Insights
Fungal infections pose a significant threat to very low birthweight infants. Early detection through molecular diagnostics and targeted prophylaxis, such as fluconazole, are crucial for improving outcomes in these vulnerable neonates.
Area of Science:
- Neonatal Medicine
- Infectious Diseases
- Mycology
Background:
- Fungal infections are a major cause of illness and death in very low birthweight infants (<1500 g).
- Understanding fungal adherence, diagnostics, and risk factors is key for effective prevention and treatment strategies.
Purpose of the Study:
- To review current knowledge on fungal infection in very low birthweight infants.
- To highlight the importance of adherence factors, molecular diagnostics, and risk factors.
- To discuss current and needed preventative and therapeutic approaches.
Main Methods:
- Review of animal studies on Candida adherence and colonization.
- Analysis of molecular diagnostic techniques like polymerase chain reaction (PCR) in neonates.
- Identification of risk factors associated with fungal sepsis in premature infants.
Main Results:
- Candida adheres to enterocytes; antibiotics and immunosuppression facilitate colonization and dissemination.
- The INT1 gene may enhance fungal colonization and dissemination.
- PCR shows promise for early detection of fungal infections in neonates.
- Risk factors for fungal sepsis include prematurity (<28 weeks gestation), thrombocytopenia, and prior broad-spectrum antibiotic exposure.
- Fluconazole prophylaxis is recommended for the most immature infants.
Conclusions:
- Preventative measures are critical for high-risk very low birthweight infants.
- Molecular diagnostics can enable earlier detection and prompt treatment, including catheter removal.
- Identifying high-risk infants for targeted prophylaxis and empiric therapy can improve outcomes.
- Further multicenter trials are needed to confirm the safety and efficacy of fluconazole prophylaxis and empiric treatments.
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