Relation between treatable traits, treatment (Tx) choices and symptom control/exacerbation (exac) risk in moderate–severe asthma

<bold>Introduction</bold> Appropriate individualisation of asthma Tx requires identifying relevant determinants of control/risk including Tx effect. <bold>Aim</bold> To quantify effects of baseline characteristics/Tx on symptom control (Asthma Control Questionnaire [ACQ-5]) and exac risk reduction in moderate–severe asthma. <bold>Methods</bold> Exac and ACQ-5 were simulated for 1 year (yr) via time-to-event and longitudinal models (based on data: 6763 patients [pts], 9 studies). Heat maps separated baseline characteristics/Tx effects. To mimic clinical practice, data from a 16000 pt-cohort were modelled to initiate on fluticasone propionate, then stepped-up to fluticasone furoate/vilanterol (FF/VI) or budesonide/formoterol (BUD/FOR) if symptoms were not well controlled (ACQ-5 ≥1.5) in 0.25yr. A log-rank test analysed cumulative exac. <bold>Results</bold> ACQ-5, body mass index (BMI), sex, smoking and forced expiratory volume in 1 second % predicted affect exac risk independently of Tx (p<0.01). Cumulative exac frequency after 1yr was ~11% lower in pts with baseline ACQ-5 ≤0.75 vs >1.5 (p<0.01). Step-up to FF/VI resulted in lower exac rate vs BUD/FOR (14.7% vs 23.9%; p<0.01; Fig 1). At 1yr, 81.1% and 75.7% of pts on FF/VI and BUD/FOR had ACQ-5 ≤1.5 (p<0.01), respectively. <bold>Conclusions</bold> ACQ-5/exac risk are modulated by pt characteristics (BMI, sex), asthma control, lung function and Tx, highlighting personalised asthma management importance. <fig><object-id>erj;64/suppl_68/PA4118/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

Authors

Institutions

Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa4118
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relation between treatable traits, treatment (Tx) choices and symptom control/exacerbation (exac) risk in moderate–severe asthma

Nicolás Roche, Pierluigi Paggiaro, Anurita Majumdar, Maximilian Plank et al.
Asthma and respiratory diseases
article

Relation between treatable traits, treatment (Tx) choices and symptom control/exacerbation (exac) risk in moderate–severe asthma

Nicolás Roche, Pierluigi Paggiaro, Anurita Majumdar, Maximilian Plank, Shalini Girotra, Manish Verma, Janna K. Duong, Sean Oosterholt, Oscar E. Della Pasqua, Gabriel García
article en

Abstract

<bold>Introduction</bold> Appropriate individualisation of asthma Tx requires identifying relevant determinants of control/risk including Tx effect. <bold>Aim</bold> To quantify effects of baseline characteristics/Tx on symptom control (Asthma Control Questionnaire [ACQ-5]) and exac risk reduction in moderate–severe asthma. <bold>Methods</bold> Exac and ACQ-5 were simulated for 1 year (yr) via time-to-event and longitudinal models (based on data: 6763 patients [pts], 9 studies). Heat maps separated baseline characteristics/Tx effects. To mimic clinical practice, data from a 16000 pt-cohort were modelled to initiate on fluticasone propionate, then stepped-up to fluticasone furoate/vilanterol (FF/VI) or budesonide/formoterol (BUD/FOR) if symptoms were not well controlled (ACQ-5 ≥1.5) in 0.25yr. A log-rank test analysed cumulative exac. <bold>Results</bold> ACQ-5, body mass index (BMI), sex, smoking and forced expiratory volume in 1 second % predicted affect exac risk independently of Tx (p<0.01). Cumulative exac frequency after 1yr was ~11% lower in pts with baseline ACQ-5 ≤0.75 vs >1.5 (p<0.01). Step-up to FF/VI resulted in lower exac rate vs BUD/FOR (14.7% vs 23.9%; p<0.01; Fig 1). At 1yr, 81.1% and 75.7% of pts on FF/VI and BUD/FOR had ACQ-5 ≤1.5 (p<0.01), respectively. <bold>Conclusions</bold> ACQ-5/exac risk are modulated by pt characteristics (BMI, sex), asthma control, lung function and Tx, highlighting personalised asthma management importance. <fig><object-id>erj;64/suppl_68/PA4118/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

University of Pisa (IT), Université Paris Cité (FR), Brentwood Hospital (US), Sorbonne Paris Cité (FR), Hôpital Cochin (FR), GlaxoSmithKline (India) (IN), Biochemistry Research Institute of La Plata (AR), Migration Institute of Australia (AU), University College London (GB), University of Newcastle Australia (AU), Singapore University of Social Sciences (SG), Bedford College (GB)
Zero hunger
Openalex Percentile: Top 72%
Asthma and respiratory diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.