Back to Search
Start Over
Assessment of the lightcycler PCR assay for diagnosis of invasive aspergillosis in paediatric patients with onco-haematological diseases
- Publication Year :
- 2008
-
Abstract
- A reliable diagnosis of invasive aspergillosis (IA) is hampered by the difficulty in obtaining suitable tissue samples. To evaluate the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the LightCycler PCR for the diagnosis of IA, 536 blood samples were collected over a 22-month period from 62 paediatric patients (median age 10 years, range 1-18) considered at risk of IA. The galactomannan antigen (GM) and fungal DNA were assessed on serial blood samples. IA was diagnosed in eight of 62 patients (13%): proven, five, probable, three. Sensitivity, specificity, PPV and NPV of LightCycler PCR varied according to the number of positive samples used to define positivity: 88%; 37%; 17% and 95% for single sample positivity; and 63%, 81%, 33% and 94% for serial sample positivity respectively. The concordance between positivity of LightCycler PCR assay and the diagnosis of IA was 79%. The single positivity of LightCycler PCR assay showed a good sensitivity for the diagnosis of IA in paediatric patients. The high NPV makes LightCycler PCR a promising tool in addition to GM testing to design a strategy of pre-emptive antifungal therapy, although further validation studies are needed.
- Subjects :
- Male
Antifungal
medicine.medical_specialty
Pathology
Adolescent
diagnosis
medicine.drug_class
Concordance
Pcr assay
PCR, invasive aspergillosis, diagnosis
Single sample
Dermatology
Biology
Aspergillosis
Polymerase Chain Reaction
Sensitivity and Specificity
Gastroenterology
Mannans
Predictive Value of Tests
Internal medicine
medicine
Humans
Child
DNA, Fungal
Paediatric patients
invasive aspergillosis
Galactose
Infant
General Medicine
medicine.disease
Galactomannan Antigen
PCR
Infectious Diseases
Child, Preschool
Hematologic Neoplasms
Predictive value of tests
Female
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....743a42c577b6f4e49f21205220759313