Publications by authors named "T Fabius"
Article Synopsis
- Patients with Chronic Obstructive Pulmonary Disease (COPD) are at a higher risk for developing lung cancer, but there are currently no reliable biomarkers to detect it early, making new detection methods essential.
- A study called BreathCloud utilized eNose technology to analyze exhaled breath in patients with COPD to see if it could identify early signs of lung cancer over a two-year period.
- Results showed that distinct breath profiles from patients with COPD could effectively differentiate those who later developed lung cancer, achieving high accuracy in predictions (receiver operating characteristic curve values of 0.89 and 0.86).
Airflow from nasal pulse oximetry in the screening of obstructive sleep apnea.
Annu Int Conf IEEE Eng Med Biol Soc
July 2019
Obstructive Sleep Apnea (OSA) is recognized as an increasing health risk, leading to daytime sleepiness and various medical conditions, such as hypertension and heart failure. Polysomnography (PSG), the gold standard to diagnose OSA, is a resource-intensive and expensive investigation confined to the hospital.Portable home monitoring, i.
View Article and Find Full Text PDFPurpose: The study aims to prospectively validate the prognostic value of oximetry alone or combined in a two-step strategy with a questionnaire for the exclusion of obstructive sleep apnea (OSA) in primary care.
Methods: A total of 140 subjects with suspected OSA were included from 54 participating primary care practices. All subjects completed the Philips questionnaire and underwent one night of oximetry prior to referral to a sleep center.
Volumetric capnography might be used to exclude pulmonary embolism (PE) without the need for computed tomography pulmonary angiography. In a pilot study, a new parameter (CapNoPE) combining the amount of carbon dioxide exhaled per breath (carbon dioxide production ( )), the slope of phase 3 of the volumetric capnogram (slope 3) and respiratory rate (RR) showed promising diagnostic accuracy (where CapNoPE=( ×slope 3)/RR). To retrospectively validate CapNoPE for the exclusion of PE, the volumetric capnograms of 205 subjects (68 with PE) were analysed, based on a large multicentre dataset of volumetric capnograms from subjects with suspected PE at the emergency department.
View Article and Find Full Text PDFIntroduction: Obstructive sleep apnea (OSA) is common, and diagnosis requires expensive and laborious testing to assess the apnea hypopnea index (AHI). We performed an analysis to explore the relationship between the oxygen desaturation index (ODI) as measured with pulse oximetry and the AHI in our large portable monitoring (PM) database to find an optimal cutoff value for the ODI in order to be able to exclude AHI ≥ 5 on PM.
Methods: Three thousand four hundred thirteen PM recordings were randomly divided into a training set (N = 2281) and a test set (N = 1132).