Prediction Pathway for Severe Asthma Exacerbations

This study identified an essential prediction pathway of severe exacerbation, which involves the influence of chronic rhinosinusitis on the immediate predictors of risk transition from current to future severe asthma exacerbations. Macrolide use was another essential prediction pathway identified. The findings support shared clinical decision-making in severe asthma treatment.

Authors

Institutions

Publication Details

Journal
CHEST Journal
Published
2025-05-19
DOI
https://doi.org/10.1016/j.chest.2025.04.046
Citations
6
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
6.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction Pathway for Severe Asthma Exacerbations

Bassam Mahboub, Matthew Peters, Riyad Al‐Lehebi, Mariko Siyue Koh et al.
6 citations
CHEST Journal
Asthma and respiratory diseases
6.99
article

Prediction Pathway for Severe Asthma Exacerbations

Bassam Mahboub, Matthew Peters, Riyad Al‐Lehebi, Mariko Siyue Koh, Carlos A. Torres-Duque, Andriana Ι. Papaioannou, Liam Gabriel Heaney, Wenjia Chen, Mohsen Sadatsafavi, Jorge Fernando Maspero, Atlanta Chakraborty, Giorgio Walter Canonica, Richard W. Costello, Chin Kook Rhee, John Busby, Michael E. Wechsler, George Christoff, Désirée Larenas‐Linnemann, Peter G. Gibson, Todor A. Popov, Laura Huey Mien Lim, Christer Janson, Eileen Wang, David Price, Paul Pfeffer, Chandra Prakash Yadav, Céline Bergeron, Richard Beasley, Borja G. Cosío, Mona Sulaiman Al-Ahmad, Enrico Marco Heffler, Luis Pérez de Llano, Celeste Porsbjerg, Takashi Iwanaga, Mark Hew, Yah Ru Juang, Nikolaos G. Papadopoulos, David J. Jackson, Saraid Cerda, Elvia Angelica Contreras Contreras, Diahn-Warng Perng
article en
6 citations

Abstract

This study identified an essential prediction pathway of severe exacerbation, which involves the influence of chronic rhinosinusitis on the immediate predictors of risk transition from current to future severe asthma exacerbations. Macrolide use was another essential prediction pathway identified. The findings support shared clinical decision-making in severe asthma treatment.

CHEST JournalVol. 168(2)
Uppsala University (SE), Dubai Health Authority (AE), Humanitas University (IT), Alfaisal University (SA), University of British Columbia (CA), Mexican Social Security Institute (MX), Queen Mary University of London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Universidade de Santiago de Compostela (ES), National and Kapodistrian University of Athens (GR), Singapore General Hospital (SG), Barts Health NHS Trust (GB), University of Michigan (US), Concord Repatriation General Hospital (AU), John Hunter Hospital (AU), Beaumont Hospital (IE), King Fahd Medical City (SA), Bispebjerg Hospital (DK), Vancouver General Hospital (CA), Taipei Veterans General Hospital (TW), Medical University of Sofia (BG), National Jewish Health (US), Hunter Medical Research Institute (AU), Kindai University Hospital (JP), Hospital Médica Sur (MX), University Hospital St. Ivan Rilski (BG), Observational & Pragmatic Research Institute (SG), Fundación Neumológica Colombiana (CO), Monash Health (AU), Duke-NUS Medical School (SG), Ministry of Health (KW), Medical Research Institute of New Zealand (NZ), National University Health System (SG), Hospital Universitario Son Espases (ES), Favaloro Foundation (AR), The Catholic University of Korea Seoul St. Mary's Hospital (KR), Alfred Health (AU), National Defense Medical College (JP), Athens State University (US), University of Colorado Denver (US)
National Medical Research Council
Zero hunger
Openalex Percentile: Top 3%
Asthma and respiratory diseases
6.99
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.