Poster (Scientific congresses and symposiums)
Are asthma symptom intensity scales better than biomarkers for diagnosing asthma? A prospective observational study
Louis, Gilles; SCHLEICH, FLorence; Guillaume, Michèle et al.
2021ERS International Congress 2021 (Virtual)
 

Files


Full Text
E-poster Asthma Symptom VAS diagnosis ERS GL PDF.pdf
Publisher postprint (2.48 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Asthma; Diagnosis; Visual analogue scale (VAS); Patient-reported outcome measure (PROM)
Abstract :
[en] Background: Misdiagnosis of asthma in primary care (PC) has been reported in the literature, producing adverse consequences to patients’ health-related quality of life and to health care systems. Aims and objectives: Our main objective was to explore the diagnostic power of each classical symptoms of asthma, measured through visual analogue scales (VAS), and to compare them with classic biomarkers. Methods: We conducted a prospective observational study (01/03/18 - 31/12/19) including 177 patients with suspected asthma recruited from the University asthma clinic of Liège (Belgium). They were asked to rate the intensity level of the 5 classic asthma symptoms (cough, chest tightness, secretion, dyspnea & wheezing) using VAS. Predicting values (PV) of symptom intensity, biomarkers (blood eosinophils, total serum IgE, FeNO) and spirometric indices to make asthma diagnosis (GINA criteria) were assessed by ROC curves. Results: Among the 177 patients 107 had a confirmed asthma diagnosis. The area under the curve (AUC) of the ROC curves showed that wheezing was the symptom which predicted the best the presence of asthma (AUC=0.64 ;95% CI: 0.56 - 0.72). None of the biomarkers had sufficient PV. FEV1/FVC ratio, and to a lesser extent FEV1, had significant PV, with an AUC equal to 0.75 (0.67-0.82) and 0.71 (0.64-0.79) respectively. Combining wheezing with FEV1 and FEV1/FVC provided a good discriminative capacity with an AUC of 0.79 (0.72-0.85) (p<0.001). Conclusion: Combining wheezing to spirometry yields very good PV for correct diagnosis. Our model should now be tested and validated in a PC setting, because it offers a quick and minimally invasive way to diagnose asthma.
Disciplines :
Public health, health care sciences & services
Author, co-author :
Louis, Gilles  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Santé publique : aspects spécifiques
SCHLEICH, FLorence ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Service de pneumologie - allergologie
Guillaume, Michèle ;  Université de Liège - ULiège > Département des sciences de la santé publique > Epidémiologie nutritionnelle
Donneau, Anne-Françoise ;  Université de Liège - ULiège > Département des sciences de la santé publique > Biostatistique
Nekoee Zahraei, Halehsadat ;  Université de Liège - ULiège > Département des sciences de la santé publique > Biostatistique
HENKET, Monique ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Clinique de l'asthme
PAULUS, Virginie ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Clinique de l'asthme
GUISSARD, Françoise ;  Centre Hospitalier Universitaire de Liège - CHU > Département de médecine interne > Clinique de l'asthme
Louis, Renaud ;  Université de Liège - ULiège > Département des sciences cliniques > Pneumologie - Allergologie
Pétré, Benoît  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Education thérap. du patient au serv. des soins int.
Language :
English
Title :
Are asthma symptom intensity scales better than biomarkers for diagnosing asthma? A prospective observational study
Publication date :
05 September 2021
Event name :
ERS International Congress 2021 (Virtual)
Event date :
du 5 septembre au 8 septembre
Available on ORBi :
since 09 October 2021

Statistics


Number of views
135 (31 by ULiège)
Number of downloads
77 (11 by ULiège)

Bibliography


Similar publications



Contact ORBi