Journal Information
Vol. 29. Issue S4.
Special Issue 2023
Pages S92-S95 (December 2023)
Share
Share
Download PDF
More article options
Vol. 29. Issue S4.
Special Issue 2023
Pages S92-S95 (December 2023)
Letter to the Editor
Full text access
Back to the roots of medicine: It's severe asthma patient-reported symptoms that matter!
Visits
555
G. Louisa,
Corresponding author
glouis@uliege.be

Corresponding author.
, F. Schleichb, M. Guillaumea, B. Sousa-Pintoc, J. Bousquetd,e,f, É. Van Ganseg, R. Louisb, B. Pétréa
a Department of Public Health, University of Liège, Belgium
b Department of Pneumology, GIGAI3, University of Liège, Belgium
c Department of Community Medicine, Information and Health Decision Sciences; Faculty of Medicine, University of Porto, Porto, Portugal
d Institute of Allergology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
e Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
f University Hospital Montpellier, France
g Croix Rousse University Hospital, Lyon, France & INSERM U-1290, Lyon, France
This item has received
Article information
Full Text
Bibliography
Download PDF
Statistics
Figures (1)
Tables (1)
Table 1. Multiple linear regression for the relationship between symptom intensity scales and global AQLQ and its 4 dimensions (n = 143).
Special issue
This article is part of special issue:
Vol. 29. Issue S4

Special Issue 2023

More info
Full Text
To the Editor,

Severe asthma can be defined as an “asthma which requires treatment with high-dose inhaled corticosteroids (ICS) + LABA to prevent it from becoming ‘uncontrolled’ or which remains ‘uncontrolled’ despite this therapy”.1 It is an important public health problem strongly associated with a significant health-related quality of life (HRQL) burden 2 and with considerable healthcare costs, almost twice those of non-severe asthmatics.3

Several studies have assessed the factors associated with HRQL in severe asthmatics, demonstrating the key role played by asthma control and comorbidities.2 However, very few studies have assessed the impact of detailed respiratory symptoms on HRQL. A recent study conducted by Louis et al.4 has demonstrated that dyspnoea was the most impactful symptom on the lives of mild asthmatics. However, to the best of our knowledge, no study has ever assessed the impact of specific respiratory symptoms on HRQL in a population of severe asthmatics. Knowing which symptoms are the most impactful on the lives of severe asthmatics is useful for adopting personalised care strategies.

A cross-sectional study was conducted between 2018 and 2022 on a population of T2 high severe adult asthmatics recruited from the Liege University Hospital Asthma Clinic (Belgium) prior to initiation of biologics (n = 143). All had had at least two exacerbations in the 12 months prior to the visit, with baseline FEV1<80 % predicted. T2 high profile was defined as either one of the following characteristics: (i) blood eosinophil count>300/µl, (ii) FeNO>25 ppb, (iii) IgE>76 KU/l with sensitisation to at least one perennial allergen. Lung function testing was performed by spirometry (Spiro bank; MIR, Rome, Italy) to measure expiratory flow rates. FeNO was measured at a flow rate of 50 ml/s (NIOX; Aerocrine, Solna, Sweden) before spirometry. Asthma control was measured using the Asthma Control Test (ACT).5 Symptoms were measured by five-point Likert scales ranging from 1 to 5 (5 expressed the highest intensity). HRQL was measured by the mini asthma quality of life questionnaire (AQLQ) composed of 15 items scored on a seven-point Likert scale ranging from 1 to 7 (7 expressed the highest QOL).6 Median and interquartile range (IQR) were used to describe quantitative variables, while percentages and counts were used for qualitative variables. The associations between symptoms intensity and AQLQ were determined using the Spearman correlation coefficient. Multiple linear regression analyses were performed to identify symptoms independently associated with AQLQ. All statistical analyses were performed using GraphPad Prism software (version 9.4.1) at a significance level of 0.05.

The median age of our patients was 55 (41–65) years and 64 %(92) were female. 61 %(87) were never-smokers, 27 %(39) ex-smokers and 12 %(17) current smokers. The median baseline FEV1 was 71 %(47 %−82 %) predicted and the FEV1/FVC was 74 %(61 %−79 %).

The median global mini-AQLQ was 3.9 (3–5.1) and the median ACT was 12 (9–17)(17 % patients with controlled asthma as shown by ACT≥20). The median values of cough, airway secretion, chest tightness, dyspnoea and wheezing intensity scales were 3(2–4), 3(2–4), 3(2–4), 4(3–4) and 3(2–4), respectively.

For each symptom, a higher intensity score was significantly correlated with low global AQLQ. However, different Spearman correlation coefficients were found depending on the symptoms. Dyspnoea had the strongest correlation with global AQLQ (rs=−0.66; p<0.0001), while airway secretion displayed the weakest correlation (rs=−0.26; p = 0.0014) (Fig. 1). After adjusting for age, sex, BMI, FEV1% predicted, FEV1/FVC% and asthma control, multiple linear regression analysis (MLRA) showed that only dyspnoea was significantly associated with global AQLQ (Table 1). MLRA also revealed that dyspnoea was independently associated with the activity dimension, while airway secretion and cough were associated with the emotive dimension (Table 1). In addition, cough emerged as an independent predictor of the environmental dimension (Table 1).

Fig. 1.

Correlations between global asthma-related quality of life (AQLQ) score and symptom intensity scores.

(0.36MB).
Table 1.

Multiple linear regression for the relationship between symptom intensity scales and global AQLQ and its 4 dimensions (n = 143).

Global AQLQSymptoms dimensionActivity dimensionEmotive dimensionEnvironmental dimension
Regression coefficient  p-value  Regression coefficient  p-value  Regression coefficient  p-value  Regression coefficient  p-value  Regression coefficient  p-value 
Age (years)  −0.009077 *  0.0320  −0.007345  0.0617  −0.01287 **  0.0084  −0.004239  0.5861  −0.01297  0.1318 
Gender (male)  0.04046  0.7725  −0.1170  0.3701  0.1227  0.4462  0.1413  0.5870  0.1084  0.7050 
BMI (kg/m2)  0.009459  0.4580  0.02395 *  0.0453  −0.02744  0.0626  0.02251  0.3421  0.02304  0.3767 
FEV1% predicted  0.001612  0.7504  0.0008127  0.8632  0.007564  0.1954  −0.003597  0.7024  0.0008082  0.9378 
FEV1/FVC%  −0.004356  0.5856  −0.01111  0.1371  −0.005342  0.9970  0.01074  0.4694  −0.01424  0.3839 
FeNO (ppb)  −0.001160  0.5254  0.001071  0.5289  −0.002160  0.3041  −0.002429  0.4741  −0.002546  0.4954 
wheezing intensity score  −0.02593  0.7308  −0.2557 ***  0.0004  0.1140  0.1895  0.06463  0.6443  0.1105  0.4735 
dyspnoea intensity score  −0.1970 *  0.0401  −0.01431  0.8716  −0.5580 ****  <0.0001  −0.2696  0.1287  0.02778  0.8863 
Chest tightness intensity score  −0.1074  0.1649  −0.08728  0.2252  −0.009077  0.9183  −0.1956  0.1733  −0.2348  0.1379 
Airway secretion intensity score  −0.02706  0.6879  0.005607  0.9288  0.03156  0.6834  −0.2934 *  0.0205  0.06485  0.6377 
Cough intensity score  0.1530  0.1196  −0.1309  0.1525  0.06571  0.5589  0.4599 *  0.0125  0.4722 *  0.0196 
ACT  0.1852 ****  <0.0001  0.1792 ****  <0.0001  0.1725 ****  <0.0001  0.1942 ****  <0.0001  0.1917 ****  <0.0001 

Abbreviations: AQLQ, asthma quality of life questionnaire; ACT, asthma control test; BMI, body mass index; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity.; *p<0.05; ** p<0.01; *** p<0.001; **** p<0.0001.

In this study, dyspnoea was the only symptom significantly associated with global AQLQ. It is in line with our recent study4 focusing on mild asthmatics. Whatever the level of severity of the disease, an increase in dyspnoea is a sign that the patient's quality of life is deteriorating, necessitating appropriate healthcare measures. It would be interesting to follow these same patients longitudinally to determine the effect of biologics treatment on the level of respiratory symptoms’ intensity. Even if a recent qualitative study demonstrated the revolutionary effect of biologics on the lives of severe asthmatics,7 drug impact would be enhanced if part of a global approach based on the patient's needs and expectations, as reported through patient-reported outcome measures (PROMs). It is the combination of a precision medicine based on biologics with a PRO-cision medicine 8 that will undoubtedly contribute to improving the health and quality of life of severe asthmatics, as well as the quality and safety of care.

In conclusion, dyspnoea is the most impactful symptom on the lives of severe asthmatics, even if other symptoms - airway hypersecretion and cough - appear to influence independently some of the dimensions of quality of life.

References
[1]
K.F. Chung, S.E. Wenzel, J.L. Brozek, et al.
International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma.
Eur Respir J, 43 (2014), pp. 343-373
[2]
V.M. Mcdonald, S.A. Hiles, K.A. Jones, V.L. Clark, J. Yorke.
Health-related quality of life burden in severe asthma.
Med J Aust, 209 (2018), pp. S28-S33
[3]
W. Chen, A. Safari, J.M. Fitzgerald, D.D. Sin, H. Tavakoli, M. Sadatsafavi.
Economic burden of multimorbidity in patients with severe asthma: a 20-year population-based study.
Thorax, 74 (2019), pp. 1113-1119
[4]
G. Louis, F. Schleich, R. Louis, et al.
How respiratory symptoms impact asthma-related quality of life in mild asthmatics.
[5]
R.A. Nathan, C.A. Sorkness, M. Kosinski, et al.
Development of the Asthma Control Test: a survey for assessing asthma control.
J Allergy Clin Immunol, 113 (2004), pp. 59-65
[6]
E.F. Juniper, G.H. Guyatt, F.M. Cox, P.J. Ferrie, D.R. King.
Development and validation of the Mini Asthma Quality of Life Questionnaire.
Eur Respir J, 14 (1999), pp. 32-38
[7]
J.W. Lanario, L. Cartwright, R.C. Jones, R. Sayers, M.E. Hyland, M. Masoli.
Life-changing”: the experience of super-responders to biologics in severe asthma.
BMC Pulm Med, 22 (2022), pp. 1-10
[8]
R.E. Jensen, CF. Snyder.
PRO-cision medicine: personalizing patient care using patient-reported outcomes.
J Clin Oncol, 34 (2016), pp. 527-529
Copyright © 2023. Sociedade Portuguesa de Pneumologia
Pulmonology
Article options
Tools

Are you a health professional able to prescribe or dispense drugs?