When patient-reported respiratory symptoms shed light on pathophysiology in adult asthma: a cross-sectional study

Autores da FMUP

• Bernardo Manuel De Sousa Pinto

  Autor

Participantes de fora da FMUP

• Louis, Gilles
• Petre, Benoit
• Bousquet, Jean
• Van Ganse, Eric
• Schleich, Florence
• Louis, Renaud

Unidades de investigação

• Laboratório Associado RISE- Rede de Investigação em Saúde

  

  Investigador

  Fernando Carlos De Landér Schmitt

• Medicina da Comunidade, Informação e Decisão em Saúde

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

Abstract

While studies have demonstrated the impact of asthma symptoms on quality of life, very few studies have investigated the relationship between detailed asthma symptoms, as reported by the patient, and lung function and inflammation. A cross-sectional study was conducted on treated (ICS/LABA) adult (> 18 years) asthma patients recruited from the Liege University Hospital Asthma Clinic (Belgium) between 2018 and 2023 (n = 505). The intensity of asthma symptoms (dyspnea, wheezing, chest tightness, cough, and airway secretion) was measured using five-point Likert scales (5 expressing the greatest intensity). Multiple linear regression models including all independent variables were carried out to evaluate whether lung function and inflammatory parameters were independently associated with distinct symptoms. Cough associated with female gender (p < 0.05), smoking (p < 0.01), low FeNO (p < 0.05) and FEV1% pred. (p < 0.05), and high blood and sputum eosinophils (p < 0.05 for both). Airway secretion associated with smoking (p < 0.05). Chest tightness associated with young age (p < 0.001), female gender (p < 0.05) and low FEV1% pred. (p < 0.01). Dyspnea associated with female gender (p < 0.001), high BMI (p < 0.05), low FEV1% pred. (p < 0.0001) and high FEV1/FVC % (p < 0.01). Wheezing associated with young age (p < 0.01), high BMI (p < 0.05), smoking (p < 0.01), low FEV1% pred. (p < 0.0001) and high FEV1/FVC % (p < 0.05). Different respiratory symptoms are associated with distinct demographic, functional and inflammatory features paving the way for personalized therapeutic interventions.

Keywords

• Asthma; Symptoms; PROMs; Lung function; Inflammation