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The AENEAS study: the Application of an Electronic Nose in the Early detection of ASpergillosis.

The AENEAS study: the Application of an Electronic Nose in the Early detection of ASpergillosis.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON23757
Enrollment
90
Registered
2010-01-16
Start date
2010-10-01
Completion date
Unknown
Last updated
2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

invasive pulmonary aspergillosis

Interventions

Exhaled breath analysis using an electronic nose and gas chromatography-mass spectometry.

Sponsors

AMC, Amsterdam
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients that: 1. Are 18 years of age or older; 2. Will undergo treatment for a hematological malignancy expected to result in grade 4 neutropenia (according to CTCAE 3.0, i.e. <0.5 x 109 neutrophils/L) of prolonged duration (i.e., more than 7 days), e.g. hematopoietic stem cell transplantation or induction/consolidation treatment for acute myeloid leukaemia; 3. Have given written informed consent. If the neutropenic episode is part of a sequence of prolonged neutropenias, the informed consent will apply to all neutropenic episodes. The moment anti-mold treatment is started, the patient will go off-protocol after analysis of exhaled air using the eNose.

Exclusion criteria

Exclusion criteria: 1. A previously diagnosed invasive mycosis; 2. The inability to perform the breathing manoeuvre needed for eNose-analysis of exhaled air.

Design outcomes

Primary

MeasureTime frame
The accuracy with which an eNose can discriminate between patients with probable or proven invasive pulmonary aspergillosis and neutropenic controls with fever, as measured by the cross-validated values of the sensitivity, specificity and accuracy of the predictive algorithm.

Secondary

MeasureTime frame
The accuracy in discriminating neutropenic controls with fever from healthy volunteers using the algorithm derived for the primary endpoint, as measured by the cross-validated values of the sensitivity, specificity and accuracy of the predictive algorithm.

Contacts

Public ContactKoen Heer, de

P.O. Box 22660

K.deHeer@amc.nl+31 (0)20 5665785

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)