Related Experiment Video
Updated: Jul 13, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
Discriminative aspects of SF-36 and QQL-EPM related to asthma control
Maria Alenita Oliveira1, Ana Luisa Godoy Fernandes, Lucia Ande Santos
1Lung Division, Department of Medicine, Federal University of São Paulo (UNIFESP-EPM), São Paulo, SP, Brazil.
Aim:
To study any discriminative properties of SF-36 and QQL-EPM in stable and non-controlled moderate asthmatic patients.
Methods:
A total of 63 asthmatic patients were assessed regarding asthma symptoms, FEV1 % predicted value, PEF, ED visits and hospitalizations, QQL-EPM and SF-36 questionnaires.
Results:
QQL-EPM highlighted significance in all domains to distinguish stable from non-controlled patients (p = 0.0001) while SF-36 was only significant in 3 of its 7 domains (p = 0.009).
Conclusion:
The study showed that the specific quality of life questionnaire for asthma (QQL-EPM) demonstrates better discriminative properties that characterize asthma control when compared with the more generic SF-36 questionnaire.
Related Concept Videos
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma I: Introduction
Asthma-III: Symptoms and Complications
Classification of Asthma
Asthma III: Clinical Manifestations
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma-I: Introduction
