scholarly journals Efficacy of aclidinium/formoterol 400/12 µg, analyzed by airflow obstruction severity, age, sex, and exacerbation history: pooled analysis of ACLIFORM and AUGMENT

2019 ◽  
Vol Volume 14 ◽  
pp. 479-491 ◽  
Author(s):  
Anthony D D'Urzo ◽  
Dave Singh ◽  
James F Donohue ◽  
Edward M Kerwin ◽  
Anna Ribera ◽  
...  
2014 ◽  
Vol 15 (1) ◽  
Author(s):  
Jeanne-Marie Perotin ◽  
Damien Adam ◽  
Juliette Vella-Boucaud ◽  
Gonzague Delepine ◽  
Sebastian Sandu ◽  
...  

2019 ◽  
Vol 16 (8) ◽  
pp. 982-989 ◽  
Author(s):  
Surya P. Bhatt ◽  
Sandeep Bodduluri ◽  
Vrishank Raghav ◽  
Nirav R. Bhakta ◽  
Carla G. Wilson ◽  
...  

2019 ◽  
Vol 54 (1) ◽  
pp. 1802262 ◽  
Author(s):  
Dwayne L. Mann ◽  
Philip I. Terrill ◽  
Ali Azarbarzin ◽  
Sara Mariani ◽  
Angelo Franciosini ◽  
...  

Rationale and objectivesNon-invasive quantification of the severity of pharyngeal airflow obstruction would enable recognition of obstructiveversuscentral manifestation of sleep apnoea, and identification of symptomatic individuals with severe airflow obstruction despite a low apnoea–hypopnoea index (AHI). Here we provide a novel method that uses simple airflow-versus-time (“shape”) features from individual breaths on an overnight sleep study to automatically and non-invasively quantify the severity of airflow obstruction without oesophageal catheterisation.Methods41 individuals with suspected/diagnosed obstructive sleep apnoea (AHI range 0–91 events·h−1) underwent overnight polysomnography with gold-standard measures of airflow (oronasal pneumotach: “flow”) and ventilatory drive (calibrated intraoesophageal diaphragm electromyogram: “drive”). Obstruction severity was defined as a continuous variable (flow:drive ratio). Multivariable regression used airflow shape features (inspiratory/expiratory timing, flatness, scooping, fluttering) to estimate flow:drive ratio in 136 264 breaths (performance based on leave-one-patient-out cross-validation). Analysis was repeated using simultaneous nasal pressure recordings in a subset (n=17).ResultsGold-standard obstruction severity (flow:drive ratio) varied widely across individuals independently of AHI. A multivariable model (25 features) estimated obstruction severity breath-by-breath (R2=0.58versusgold-standard, p<0.00001; mean absolute error 22%) and the median obstruction severity across individual patients (R2=0.69, p<0.00001; error 10%). Similar performance was achieved using nasal pressure.ConclusionsThe severity of pharyngeal obstruction can be quantified non-invasively using readily available airflow shape information. Our work overcomes a major hurdle necessary for the recognition and phenotyping of patients with obstructive sleep disordered breathing.


CHEST Journal ◽  
2012 ◽  
Vol 142 (6) ◽  
pp. 1530-1538 ◽  
Author(s):  
Firdaus A.A. Mohamed Hoesein ◽  
Pieter Zanen ◽  
H. Marike Boezen ◽  
Harry J.M. Groen ◽  
Bram van Ginneken ◽  
...  

2004 ◽  
Vol 171 (4S) ◽  
pp. 410-410
Author(s):  
Christian Seitz ◽  
Bob Djavan ◽  
Michael Dobrovits ◽  
Matthias Waldert ◽  
Saeid Alavi ◽  
...  

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