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      Influence of Comorbidities and Airway Clearance on Mortality and Outcomes of Patients With Severe Bronchiectasis Exacerbations in Taiwan

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          Abstract

          Bronchiectasis is characterized by systemic inflammation and multiple comorbidities. This study aimed to investigate the clinical outcomes based on the bronchiectasis etiology comorbidity index (BACI) score in patients hospitalized for severe bronchiectasis exacerbations. We included non-cystic fibrosis patients hospitalized for severe bronchiectasis exacerbations between January 2008 and December 2016 from the Chang Gung Research Database (CGRD) cohort. The main outcome was the 1-year mortality rate after severe exacerbations. We used the Cox regression model to assess the risk factors of 1-year mortality. Of 1,235 patients who were hospitalized for severe bronchiectasis exacerbations, 641 were in the BACI < 6 group and 594 in the BACI ≥ 6 group. The BACI ≥ 6 group had more previous exacerbations and a lower FEV 1. Pseudomonas aeruginosa (19.1%) was the most common bacterium, followed by Klebsiella pneumoniae (7.5%). Overall, 11.8% of patients had respiratory failure and the hospital mortality was 3.0%. After discharge, compared to the BACI < 6 group, the BACI ≥ 6 group had a significantly higher cumulative incidence of respiratory failure and mortality in a 1-year follow-up. The risk factors for 1-year mortality in a multivariate analysis include age [hazard ratio (HR) 4.38, p = 0.01], being male (HR 4.38, p = 0.01), and systemic corticosteroid usage (HR 6.35, p = 0.001), while airway clearance therapy (ACT) (HR 0.50, p = 0.010) was associated with a lower mortality risk. An increased risk of respiratory failure and mortality in a 1-year follow-up after severe exacerbations was observed in bronchiectasis patients with multimorbidities, particularly older age patients, male patients, and patients with a history of systemic corticosteroid use. ACT could effectively improve the risk for 1-year mortality.

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          Most cited references52

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          Standardisation of spirometry.

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            European Respiratory Society guidelines for the management of adult bronchiectasis.

            Bronchiectasis in adults is a chronic disorder associated with poor quality of life and frequent exacerbations in many patients. There have been no previous international guidelines.The European Respiratory Society guidelines for the management of adult bronchiectasis describe the appropriate investigation and treatment strategies determined by a systematic review of the literature.A multidisciplinary group representing respiratory medicine, microbiology, physiotherapy, thoracic surgery, primary care, methodology and patients considered the most relevant clinical questions (for both clinicians and patients) related to management of bronchiectasis. Nine key clinical questions were generated and a systematic review was conducted to identify published systematic reviews, randomised clinical trials and observational studies that answered these questions. We used the GRADE approach to define the quality of the evidence and the level of recommendations. The resulting guideline addresses the investigation of underlying causes of bronchiectasis, treatment of exacerbations, pathogen eradication, long term antibiotic treatment, anti-inflammatories, mucoactive drugs, bronchodilators, surgical treatment and respiratory physiotherapy.These recommendations can be used to benchmark quality of care for people with bronchiectasis across Europe and to improve outcomes.
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              The bronchiectasis severity index. An international derivation and validation study.

              There are no risk stratification tools for morbidity and mortality in bronchiectasis. Identifying patients at risk of exacerbations, hospital admissions, and mortality is vital for future research. This study describes the derivation and validation of the Bronchiectasis Severity Index (BSI). Derivation of the BSI used data from a prospective cohort study (Edinburgh, UK, 2008-2012) enrolling 608 patients. Cox proportional hazard regression was used to identify independent predictors of mortality and hospitalization over 4-year follow-up. The score was validated in independent cohorts from Dundee, UK (n = 218); Leuven, Belgium (n = 253); Monza, Italy (n = 105); and Newcastle, UK (n = 126). Independent predictors of future hospitalization were prior hospital admissions, Medical Research Council dyspnea score greater than or equal to 4, FEV1 < 30% predicted, Pseudomonas aeruginosa colonization, colonization with other pathogenic organisms, and three or more lobes involved on high-resolution computed tomography. Independent predictors of mortality were older age, low FEV1, lower body mass index, prior hospitalization, and three or more exacerbations in the year before the study. The derived BSI predicted mortality and hospitalization: area under the receiver operator characteristic curve (AUC) 0.80 (95% confidence interval, 0.74-0.86) for mortality and AUC 0.88 (95% confidence interval, 0.84-0.91) for hospitalization, respectively. There was a clear difference in exacerbation frequency and quality of life using the St. George's Respiratory Questionnaire between patients classified as low, intermediate, and high risk by the score (P < 0.0001 for all comparisons). In the validation cohorts, the AUC for mortality ranged from 0.81 to 0.84 and for hospitalization from 0.80 to 0.88. The BSI is a useful clinical predictive tool that identifies patients at risk of future mortality, hospitalization, and exacerbations across healthcare systems.
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                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                21 January 2022
                2021
                : 8
                : 812775
                Affiliations
                [1] 1Department of Thoracic Medicine, Chang Gung Memorial Hospital , Taipei, Taiwan
                [2] 2College of Medicine, Chang Gung University , Taoyuan, Taiwan
                [3] 3Department of Thoracic Medicine, New Taipei City Municipal TuCheng Hospital, Chang Gung Medical Foundation , New Taipei City, Taiwan
                [4] 4Department of Respiratory Care, New Taipei City Municipal TuCheng Hospital, Chang Gung Medical Foundation , New Taipei City, Taiwan
                [5] 5Center for Big Data Analytics and Statistics, Chang Gung Memorial Hospital , Taoyuan, Taiwan
                [6] 6Division of Pulmonary and Critical Care, Department of Internal Medicine, Saint Paul's Hospital , Taoyuan, Taiwan
                [7] 7Biomedical Research Unit, Experimental Studies, National Heart and Lung Institute, Imperial College London, Royal Brompton Hospital , London, United Kingdom
                Author notes

                Edited by: Rodrigo Torres-Castro, University of Chile, Chile

                Reviewed by: Tjip S. van der Werf, University of Groningen, Netherlands; Pieter Goeminne, AZ Nikolaas, Belgium

                *Correspondence: Chun-Hua Wang wchunhua@ 123456ms7.hinet.net

                This article was submitted to Pulmonary Medicine, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2021.812775
                8814605
                35127767
                f8092c5c-a433-468d-8ed9-58ba7d17e100
                Copyright © 2022 Huang, Chung, Lin, Lo, Huang, Huang, Lai, Gan, Ko, Lin, Chung and Wang.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 November 2021
                : 08 December 2021
                Page count
                Figures: 3, Tables: 5, Equations: 0, References: 52, Pages: 12, Words: 8133
                Funding
                Funded by: Chang Gung Memorial Hospital, Linkou, doi 10.13039/501100005795;
                Categories
                Medicine
                Original Research

                bronchiectasis,baci index,severe exacerbation,airway clearance therapy,mortality

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