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Persistent mucus plugs in proximal airways are consequential for airflow limitation in asthma
Brendan K. Huang, Brett M. Elicker, Travis S. Henry, Kimberly G. Kallianos, Lewis D. Hahn, Monica Tang, Franklin Heng, Charles E. McCulloch, Nirav R. Bhakta, Sharmila Majumdar, Jiwoong Choi, Loren C. Denlinger, Sean B. Fain, Annette T. Hastie, Eric A. Hoffman, Elliot Israel, Nizar N. Jarjour, Bruce D. Levy, Dave T. Mauger, Kaharu Sumino, Sally E. Wenzel, Mario Castro, Prescott G. Woodruff, John V. Fahy, for the NHLBI Severe Asthma Research Program (SARP)
Brendan K. Huang, Brett M. Elicker, Travis S. Henry, Kimberly G. Kallianos, Lewis D. Hahn, Monica Tang, Franklin Heng, Charles E. McCulloch, Nirav R. Bhakta, Sharmila Majumdar, Jiwoong Choi, Loren C. Denlinger, Sean B. Fain, Annette T. Hastie, Eric A. Hoffman, Elliot Israel, Nizar N. Jarjour, Bruce D. Levy, Dave T. Mauger, Kaharu Sumino, Sally E. Wenzel, Mario Castro, Prescott G. Woodruff, John V. Fahy, for the NHLBI Severe Asthma Research Program (SARP)
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Clinical Research and Public Health Pulmonology

Persistent mucus plugs in proximal airways are consequential for airflow limitation in asthma

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Abstract

BACKGROUND Information about the size, airway location, and longitudinal behavior of mucus plugs in asthma is needed to understand their role in mechanisms of airflow obstruction and to rationally design muco-active treatments.METHODS CT lung scans from 57 patients with asthma were analyzed to quantify mucus plug size and airway location, and paired CT scans obtained 3 years apart were analyzed to determine plug behavior over time. Radiologist annotations of mucus plugs were incorporated in an image-processing pipeline to generate size and location information that was related to measures of airflow.RESULTS The length distribution of 778 annotated mucus plugs was multimodal, and a 12 mm length defined short (“stubby”, ≤12 mm) and long (“stringy”, >12 mm) plug phenotypes. High mucus plug burden was disproportionately attributable to stringy mucus plugs. Mucus plugs localized predominantly to airway generations 6–9, and 47% of plugs in baseline scans persisted in the same airway for 3 years and fluctuated in length and volume. Mucus plugs in larger proximal generations had greater effects on spirometry measures than plugs in smaller distal generations, and a model of airflow that estimates the increased airway resistance attributable to plugs predicted a greater effect for proximal generations and more numerous mucus plugs.CONCLUSION Persistent mucus plugs in proximal airway generations occur in asthma and demonstrate a stochastic process of formation and resolution over time. Proximal airway mucus plugs are consequential for airflow and are in locations amenable to treatment by inhaled muco-active drugs or bronchoscopy.TRIAL REGISTRATION Clinicaltrials.gov; NCT01718197, NCT01606826, NCT01750411, NCT01761058, NCT01761630, NCT01716494, and NCT01760915.FUNDING AstraZeneca, Boehringer-Ingelheim, Genentech, GlaxoSmithKline, Sanofi–Genzyme–Regeneron, and TEVA provided financial support for study activities at the Coordinating and Clinical Centers beyond the third year of patient follow-up. These companies had no role in study design or data analysis, and the only restriction on the funds was that they be used to support the SARP initiative.

Authors

Brendan K. Huang, Brett M. Elicker, Travis S. Henry, Kimberly G. Kallianos, Lewis D. Hahn, Monica Tang, Franklin Heng, Charles E. McCulloch, Nirav R. Bhakta, Sharmila Majumdar, Jiwoong Choi, Loren C. Denlinger, Sean B. Fain, Annette T. Hastie, Eric A. Hoffman, Elliot Israel, Nizar N. Jarjour, Bruce D. Levy, Dave T. Mauger, Kaharu Sumino, Sally E. Wenzel, Mario Castro, Prescott G. Woodruff, John V. Fahy, for the NHLBI Severe Asthma Research Program (SARP)

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Figure 6

Mucus plugs are associated with an increase in modeled airway resistance and in measured air trapping in lung regions distal to mucus-occluded airways.

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Mucus plugs are associated with an increase in modeled airway resistance...
(A) Schematic illustrating computation of resistance score (RS) by incorporating mucus plugging into the airway tree. The airway tree is divided into different segments with an effective resistance Rn given by the length and radius of the airway at that location. After combining all segments, the net resistance of the airway tree in the presence of plugging (Rp) is compared with the resistance of the native airway tree in the absence of plugs (Ra) to yield the increased percentage in airway resistance RS = (100 × [Rp – Ra]/Ra) due to plugs. (B) Estimation of obstructed lung volume percentage (OLVP). The voxel volume of the lung region distal to a mucus occluded airway (Vo) was divided by the total voxel volume in the lobe (Vt) to generate the estimated obstructed lung volume percentage (100 × Vo/Vt). (C) Distribution of RS for patients at baseline (n = 54). (D) Relationship between predicted RS and FEV1 at baseline. (E) Relationship between changes in predicted RS and changes in FEV1 over 3 years for matched patients (n = 40). (F) Distribution of OLVP per patient at baseline (n = 53). (G) Relationship between OLVP and FEV1 at baseline. (H) Relationship between changes in predicted OLVP and changes in FEV1 over 3 years for matched patients (n = 40). Sensitivity analysis of outlier point (ΔRS = 201, ΔFEV1 = –14%) shows similar correlation coefficient (rs = –0.50, P = 0.001 with outlier included and rs = –0.46, P = 0.003 with outlier excluded). (I) Distribution of OLVP per lobe at baseline (n = 260). (J) Relationship between OLVP and disease probability measure functional small airways disease (DPM-fSAD) per lobe at baseline. (K) Relationship between changes in OLVP and DPM-fSAD per lobe over 3 years (n = 195). rs denotes Spearman correlation coefficient. Statistical results of linear mixed model and multivariate regression are shown in Table 4.

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