Literature DB >> 21417868

Diagnostic methods for fungal infections in pediatric patients: microbiological, serological and molecular methods.

Yasemin Oz1, Nuri Kiraz.   

Abstract

Although invasive fungal infections (IFIs) are relatively rare, they are important causes of morbidity and mortality in immunocompromised pediatric patients. Early and precise diagnosis of IFI is important to allow antifungal treatment to be started in time and to reduce the unnecessary use of toxic antifungal agents. Although traditional approaches such as direct microscopic examination, histopathological evaluation and cultivation are still gold standard, the diagnosis of IFI is generally difficult because of inadequate sensitivity and specificity with these tests. Commercial systems detecting the Aspergillus cell wall antigen galactomannan and 1,3-β-D-glucan are seen as the most convenient nonculture methods for the diagnosis of the IFI and monitoring of antifungal treatment. Several molecular methods have been described for the diagnosis of opportunistic mycoses. However, they have not been standardized and have only been used in experimental studies.

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Year:  2011        PMID: 21417868     DOI: 10.1586/eri.10.168

Source DB:  PubMed          Journal:  Expert Rev Anti Infect Ther        ISSN: 1478-7210            Impact factor:   5.091


  9 in total

1.  β-D-Glucan Screening for Detection of Invasive Fungal Disease in Children Undergoing Allogeneic Hematopoietic Stem Cell Transplantation.

Authors:  Antonia Koltze; Peter Rath; Stefan Schöning; Jörg Steinmann; Thomas A Wichelhaus; Peter Bader; Konrad Bochennek; Thomas Lehrnbecher
Journal:  J Clin Microbiol       Date:  2015-06-03       Impact factor: 5.948

Review 2.  Advances and challenges in biosensor-based diagnosis of infectious diseases.

Authors:  Mandy L Y Sin; Kathleen E Mach; Pak Kin Wong; Joseph C Liao
Journal:  Expert Rev Mol Diagn       Date:  2014-02-13       Impact factor: 5.225

3.  TUBERCULOSIS INFECTION MIGHT INCREASE THE RISK OF INVASIVE CANDIDIASIS IN AN IMMUNOCOMPETENT PATIENT.

Authors:  Xiao-Hua Chen; Yun-Chao Gao; Yi Zhang; Zheng-Hao Tang; Yong-Sheng Yu; Guo-Qing Zang
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2015 May-Jun       Impact factor: 1.846

4.  Combination of C-Reactive Protein and Procalcitonin in Distinguishing Fungal from Bacterial Infections Early in Immunocompromised Children.

Authors:  Yingli Liu; Xiaoli Zhang; Tianfang Yue; Yanlai Tang; Zhiyong Ke; Yu Li; Xuequn Luo; Libin Huang
Journal:  Antibiotics (Basel)       Date:  2022-05-29

5.  FungiQuant: a broad-coverage fungal quantitative real-time PCR assay.

Authors:  Cindy M Liu; Sergey Kachur; Michael G Dwan; Alison G Abraham; Maliha Aziz; Po-Ren Hsueh; Yu-Tsung Huang; Joseph D Busch; Louis J Lamit; Catherine A Gehring; Paul Keim; Lance B Price
Journal:  BMC Microbiol       Date:  2012-11-08       Impact factor: 3.605

6.  (1-3)-β-D-Glucan vs Galactomannan Antigen in Diagnosing Invasive Fungal Infections (IFIs).

Authors:  C Fontana; R Gaziano; M Favaro; Ia Casalinuovo; Es Pistoia; P Di Francesco
Journal:  Open Microbiol J       Date:  2012-08-24

7.  Detection of Aspergillus flavus and A. fumigatus in Bronchoalveolar Lavage Specimens of Hematopoietic Stem Cell Transplants and Hematological Malignancies Patients by Real-Time Polymerase Chain Reaction, Nested PCR and Mycological Assays.

Authors:  Hossein Zarrinfar; Hossein Mirhendi; Abdolmajid Fata; Hossein Khodadadi; Parivash Kordbacheh
Journal:  Jundishapur J Microbiol       Date:  2014-12-17       Impact factor: 0.747

Review 8.  Diagnostic Approaches for Invasive Aspergillosis-Specific Considerations in the Pediatric Population.

Authors:  Thomas Lehrnbecher; Angela Hassler; Andreas H Groll; Konrad Bochennek
Journal:  Front Microbiol       Date:  2018-03-26       Impact factor: 5.640

Review 9.  Iron Assimilation during Emerging Infections Caused by Opportunistic Fungi with emphasis on Mucorales and the Development of Antifungal Resistance.

Authors:  Felicia Adelina Stanford; Kerstin Voigt
Journal:  Genes (Basel)       Date:  2020-10-30       Impact factor: 4.096

  9 in total

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