医学
痰
支气管扩张
阿兹屈南
安慰剂
内科学
抗生素
胃肠病学
肺结核
肺
病理
替代医学
抗生素耐药性
亚胺培南
微生物学
生物
作者
Megan Crichton,Mike Lonergan,Alan F. Barker,Oriol Sibila,Pieter Goeminne,Amelia Shoemark,James D. Chalmers
出处
期刊:The European respiratory journal
[European Respiratory Society]
日期:2020-04-07
卷期号:56 (1): 2000608-2000608
被引量:30
标识
DOI:10.1183/13993003.00608-2020
摘要
Introduction Inhaled antibiotics may improve symptom scores, but it is not known which specific symptoms improve with therapy. Item-level analysis of questionnaire data may allow us to identify which specific symptoms respond best to treatment. Methods Post hoc analysis of the AIR-BX1 studies and two trials of inhaled aztreonam versus placebo in bronchiectasis. Individual items from the quality of life bronchiectasis (QOL-B) respiratory symptom scale, were extracted as representing severity of nine distinct symptoms. Generalised linear models were used to evaluate changes in symptoms with treatment versus placebo from baseline to end of first on-treatment cycle and mixed models were used to evaluate changes across the full 16-week trial. Results Aztreonam improved cough (difference 0.22, 95% CI 0.08–0.37; p=0.002), sputum production (0.30, 95% CI 0.15–0.44; p<0.0001) and sputum colour (0.29, 95% CI 0.15–0.43; p<0.0001) versus placebo equating to a 20% improvement in cough and 25% improvement in sputum production and colour. Similar results were observed for cough, sputum production and sputum purulence across the trial duration (all p<0.05). Patients with higher sputum production and sputum colour scores had a greater response on the overall QOL-B (difference 4.82, 95% CI 1.12–8.53; p=0.011 for sputum production and 5.02, 95% CI 1.19–8.86; p=0.01 for sputum colour). In contrast, treating patients who had lower levels of bronchitic symptoms resulted in shorter time to next exacerbation (hazard ratio 1.83, 95% CI 1.02–3.28; p=0.042). Conclusion Baseline bronchitic symptoms predict response to inhaled aztreonam in bronchiectasis. More sensitive tools to measure bronchitic symptoms may be useful to better identify inhaled antibiotic responders and to evaluate patient response to treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI