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Pediatric invasive fungal rhinosinusitis
Perla Villamor1,2, Valeria Arango3, Cristina Cortes4
1Pediatric Otolaryngologist, Hospital Serena del Mar, Cartagena, Colombia.
Insights
Early diagnosis of pediatric invasive fungal rhinosinusitis (PIFR) is crucial for reducing mortality. This study presents an updated clinical algorithm for the optimized diagnosis and management of PIFR in children.
Area of Science:
- Pediatric Infectious Diseases
- Otolaryngology
- Mycology
Background:
- Pediatric invasive fungal rhinosinusitis (PIFR) is a severe and rapidly progressing condition.
- Timely diagnosis of PIFR is critical for improving patient outcomes and reducing mortality.
- Existing diagnostic and management strategies require updates to reflect current knowledge.
Purpose of the Study:
- To develop an updated clinical algorithm for the diagnosis and management of PIFR in pediatric patients.
- To provide healthcare professionals with a standardized approach for identifying and treating PIFR.
- To enhance the early detection and effective treatment of this potentially fatal disease.
Main Methods:
- A comprehensive literature review was performed.
- Searched databases included Cochrane Library, PubMed/MEDLINE, Embase, Scopus, and Google Scholar.
- Included original, full-text articles in English and Spanish published between January 2010 and June 2022.
Main Results:
- Extracted relevant information from selected studies.
- Synthesized findings to identify key diagnostic and management criteria.
- Integrated data to formulate a structured clinical algorithm.
Conclusions:
- The developed algorithm offers an optimized approach to PIFR diagnosis and management.
- Early implementation of the algorithm can significantly improve patient survival rates.
- This updated strategy aims to standardize care for pediatric invasive fungal rhinosinusitis.
Abstract:
Pediatric invasive fungal rhinosinusitis (PIFR) is a rapidly progressive, potentially fatal disease. Previous medical literature demonstrates that its early diagnosis significantly reduces the risk of mortality in these patients. This study aims to present an updated clinical algorithm for optimized diagnosis and management of PIFR. A comprehensive review was conducted with only original, full-text articles published in English and Spanish from Cochrane Library, Pub-Med/MEDLINE, Embase, Scopus, and Google Scholar between January 2010 and June 2022. Relevant information was extracted and then integrated to develop a clinical algorithm for a proper diagnosis and management of PIFR.
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