ClinicalTrials.Veeva

Menu

Oscillation Mechanics of the Respiratory System Asbestos Exposed: Early Diagnosis

R

Rio de Janeiro State University

Status

Unknown

Conditions

Asbestosis

Treatments

Other: evaluated lung function

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

Inhalation of dust containing asbestos results in a process of interstitial pulmonary fibrosis called asbestosis. The Forced Oscillation Technique (FOT) evaluates the respiratory mechanics describing resistive, elastic and inertial properties. We believe that this technique may contribute to the early diagnosis of asbestosis.

Full description

The aims of this study were (1) to use the FOT to analyze how respiratory mechanics is affected in patients with asbestos exposed, (2) to identify the best FOT parameters for the diagnosis of respiratory changes in these patients (3) Assess whether the presence of obstructive changes is associated with the smoking habit.The control group (CG) included 24 subjects with normal spirometric data and without a history of smoking or pulmonary disease formed by workers and students UERJ and FioCruz. Volunteers with asbestos exposure were from the Department of CESTEH/ FioCruz, totaling 24 exposed and 7 with diagnoses of asbestosis.

The diagnosis of asbestosis was established based on a history of substantial exposure to asbestos dusts and compatible radiological features, together with exclusion of other competing diagnoses.

The tests included a standardized questionnaire on respiratory symptoms, clinical evaluation; Plain radiography of the chest; FOT, plethysmography and spirometry, in that order.

Enrollment

2 estimated patients

Sex

All

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • diagnosis of asbestosis

Exclusion criteria

  • other diseases

Trial contacts and locations

1

Loading...

Central trial contact

Paula Sá, research

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2026 Veeva Systems