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Sanches Santos Rizzo Zuttion M, Parimon T, Bora SA, Yao C, Lagree K, Gao CA, Wunderink RG, Kitsios GD, Morris A, Zhang Y, McVerry BJ, Modes ME, Marchevsky AM, Stripp BR, Soto CM, Wang Y, Merene K, Cho S, Victor BL, Vujkovic-Cvijin I, Gupta S, Cassel SL, Sutterwala FS, Devkota S, Underhill DM, Chen P. Antibiotic use during influenza infection augments lung eosinophils that impair immunity against secondary bacterial pneumonia. J Clin Invest 2024; 134:e180986. [PMID: 39255040 PMCID: PMC11527449 DOI: 10.1172/jci180986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 09/06/2024] [Indexed: 09/12/2024] Open
Abstract
A leading cause of mortality after influenza infection is the development of a secondary bacterial pneumonia. In the absence of a bacterial superinfection, prescribing antibacterial therapies is not indicated but has become a common clinical practice for those presenting with a respiratory viral illness. In a murine model, we found that antibiotic use during influenza infection impaired the lung innate immunologic defenses toward a secondary challenge with methicillin-resistant Staphylococcus aureus (MRSA). Antibiotics augment lung eosinophils, which have inhibitory effects on macrophage function through the release of major basic protein. Moreover, we demonstrated that antibiotic treatment during influenza infection caused a fungal dysbiosis that drove lung eosinophilia and impaired MRSA clearance. Finally, we evaluated 3 cohorts of hospitalized patients and found that eosinophils positively correlated with antibiotic use, systemic inflammation, and worsened outcomes. Altogether, our work demonstrates a detrimental effect of antibiotic treatment during influenza infection that has harmful immunologic consequences via recruitment of eosinophils to the lungs, thereby increasing the risk of developing a secondary bacterial infection.
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Affiliation(s)
| | | | | | - Changfu Yao
- Department of Medicine
- Women’s Guild Lung Institute
| | - Katherine Lagree
- Department of Biomedical Sciences
- Widjaja Foundation Inflammatory Bowel Disease Institute, and
- Karsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Catherine A. Gao
- Division of Pulmonary and Critical Care, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Richard G. Wunderink
- Division of Pulmonary and Critical Care, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Georgios D. Kitsios
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine and
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Alison Morris
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine and
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine and
| | - Bryan J. McVerry
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine and
- Center for Medicine and the Microbiome, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | | | | | - Barry R. Stripp
- Department of Medicine
- Women’s Guild Lung Institute
- Department of Biomedical Sciences
| | | | - Ying Wang
- Department of Medicine
- Women’s Guild Lung Institute
| | | | - Silvia Cho
- Department of Medicine
- Women’s Guild Lung Institute
| | | | - Ivan Vujkovic-Cvijin
- Department of Medicine
- Department of Biomedical Sciences
- Widjaja Foundation Inflammatory Bowel Disease Institute, and
- Karsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Suman Gupta
- Department of Medicine
- Women’s Guild Lung Institute
| | | | | | - Suzanne Devkota
- Department of Medicine
- Department of Biomedical Sciences
- Widjaja Foundation Inflammatory Bowel Disease Institute, and
- Karsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
- Human Microbiome Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - David M. Underhill
- Department of Biomedical Sciences
- Widjaja Foundation Inflammatory Bowel Disease Institute, and
- Karsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Peter Chen
- Department of Medicine
- Women’s Guild Lung Institute
- Department of Biomedical Sciences
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He D, Li F, Wang J, Zhuo C, Zou G. Antibiotic prescription for children with acute respiratory tract infections in rural primary healthcare in Guangdong province, China: a cross-sectional study. BMJ Open 2023; 13:e068545. [PMID: 37963693 PMCID: PMC10649702 DOI: 10.1136/bmjopen-2022-068545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
OBJECTIVES The objective of this study is to understand the characteristics and patterns of the first antibiotic prescriptions for children with acute respiratory infections (ARIs) in rural primary healthcare (PHC) in Guangdong province, China. DESIGN Cross-sectional study. SETTING AND PARTICIPANTS We used prescription data generated from the electronic medical record system of 37 township hospitals in two counties of Shaoguan City, Guangdong province. 46 699 first prescriptions for ARIs in children aged 0-18 years were screened from 444 979 outpatient prescriptions recorded between November 2017 and October 2018. OUTCOME MEASURES Descriptive analyses were used to report sociodemographic characteristics and antibiotic prescribing profiles. χ2 analysis and binary logistic regression were used to analyse the factors associated with antibiotic prescriptions in children. RESULTS Of the 46 699 sampled cases, 83.00% (n=38 759) received at least one antibiotic as part of their first prescription. Of the 38 759 sampled cases treated with antibiotics, 40.76% (n=15 799), 56.15% (n=21 762) and 31.59% (n=12 244) received parenteral antibiotics, broad-spectrum antibiotics and two or more kinds of antibiotics, respectively. Multivariable analysis showed that children aged ≤5 years were less likely to be prescribed with antibiotics than those aged 16-18 years (OR 0.545, p<0.001). Those with health insurance were more likely to be prescribed with antibiotics than those without health insurance (OR 1.677, p<0.001). CONCLUSIONS Misuse and overuse of antibiotics were found in the prescriptions of children with ARIs in rural PHC. Antibiotic stewardship programme should be established to reduce the level of antibiotic prescriptions among children with ARIs in rural PHC, especially regarding the prescriptions of broad-spectrum antibiotics and parenteral antibiotics, tailored to different ages, sex and health insurance groups.
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Affiliation(s)
- Diqiong He
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Feifeng Li
- State Key Laboratory of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiong Wang
- State Key Laboratory of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chao Zhuo
- State Key Laboratory of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guanyang Zou
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, China
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Gessner A, Klimek L, Kuchar E, Stelzmueller I, Fal AM, Kardos P. Potential Saving of Antibiotics for Respiratory Infections in Several European Countries: Insights from Market Research Data. Antibiotics (Basel) 2023; 12:1174. [PMID: 37508270 PMCID: PMC10376894 DOI: 10.3390/antibiotics12071174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/29/2023] [Accepted: 07/02/2023] [Indexed: 07/30/2023] Open
Abstract
Antibiotics represent an essential pillar in the treatment of respiratory infections (RI). Overuse of antibiotics in avoidable cases and inappropriate application in bacterial infections facilitate treatment resistance, threatening their effectiveness and causing a significant healthcare challenge. We therefore assessed the savings potential for antibiotics in ambulant care of selected RI (bronchitis and cough, pharyngitis, rhinosinusitis) in several European countries based on market research data for the year 2019. Number of antibiotic packages sold in pharmacies varied, with highest values in Serbia and France, and lowest in Sweden and Switzerland. Selected RI contributed nearly half of overall ambulant antibiotic prescriptions, with around one fifth given for bronchitis and cough; the vast majority was estimated to be of viral origin with potentially avoidable antibiotic use. Antibiotic consumption for selected RI in eight European countries (Austria, Belgium, the Czech Republic, France, Germany, Poland, Slovakia, and Switzerland) amounted to nearly 100 million, with an overall savings potential between 66.2 and 83.7 million packages. The highest estimated volume of avoidable antibiotics was in France (44.7 million, 0.80 per capita), and lowest in Switzerland (1.4 million, 0.18 per capita). Due to substantial savings potential, prudent use of antibiotics and adequate application of alternatives should be promoted in daily practice.
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Affiliation(s)
- André Gessner
- Institute for Clinical Microbiology and Hygiene, University Clinic Regensburg, 93053 Regensburg, Germany
| | - Ludger Klimek
- Centre for Rhinology and Allergology, 65183 Wiesbaden, Germany
| | - Ernest Kuchar
- Department of Pediatrics with Clinical Assessment Unit, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Ingrid Stelzmueller
- Private Practice for Pulmonology, Internal Medicine and Pneumology, 5020 Salzburg, Austria
| | - Andrzej M Fal
- Department of Allergy, Lung Diseases, and Internal Medicine, Central Clinical Hospital, Ministry of Interior, 02-507 Warsaw, Poland
| | - Peter Kardos
- Lung Centre Frankfurt Maingau-Hospital, 60316 Frankfurt am Main, Germany
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Davido B, Lemarie B, Gault E, Dumoulin J, D'anglejan E, Beaune S, De Truchis P. Interest of Absolute Eosinopenia as a Marker of Influenza in Outpatients during the Fall-Winter Seasons 2016-2018 in the Greater Paris Area: The SUPERFLUOUS Study. Diagnostics (Basel) 2023; 13:2115. [PMID: 37371009 DOI: 10.3390/diagnostics13122115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/24/2023] [Accepted: 06/17/2023] [Indexed: 06/29/2023] Open
Abstract
INTRODUCTION Prior to the emergence of COVID-19, when influenza was the predominant cause of viral respiratory tract infections (VRTIs), this study aimed to analyze the distinct biological abnormalities associated with influenza in outpatient settings. METHODS A multicenter retrospective study was conducted among outpatients, with the majority seeking consultation at the emergency department, who tested positive for VRTIs using RT-PCR between 2016 and 2018. Patient characteristics were compared between influenza (A and B types) and non-influenza viruses, and predictors of influenza were identified using two different models focusing on absolute eosinopenia (0/mm3) and lymphocyte count <800/mm3. RESULTS Among 590 VRTIs, 116 (19.7%) were identified as outpatients, including 88 cases of influenza. Multivariable logistic regression analysis revealed the following predictors of influenza: in the first model, winter season (adjusted odds ratio [aOR] 7.1, 95% confidence interval [CI] 1.12-45.08) and absolute eosinopenia (aOR 6.16, 95% CI 1.14-33.24); in the second model, winter season (aOR 9.08, 95% CI 1.49-55.40) and lymphocyte count <800/mm3 (aOR 7.37, 95% CI 1.86-29.20). Absolute eosinopenia exhibited the highest specificity and positive predictive value (92% and 92.3%, respectively). CONCLUSION During the winter season, specific biological abnormalities can aid physicians in identifying influenza cases and guide the appropriate use of antiviral therapy when rapid molecular tests are not readily available.
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Affiliation(s)
- Benjamin Davido
- Maladies Infectieuses, Hôpital Raymond Poincaré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92380 Garches, France
- UMR1173, Université Versailles St-Quentin, Université Paris-Saclay, 78180 Montigny-Le-Bretonneux, France
| | - Benoit Lemarie
- Maladies Infectieuses, Hôpital Raymond Poincaré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92380 Garches, France
| | - Elyanne Gault
- UMR1173, Université Versailles St-Quentin, Université Paris-Saclay, 78180 Montigny-Le-Bretonneux, France
- Virologie, Hôpital Ambroise-Paré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92100 Boulogne-Billancourt, France
| | - Jennifer Dumoulin
- Pneumologie, Hôpital Ambroise Paré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92100 Boulogne-Billancourt, France
| | - Emma D'anglejan
- Maladies Infectieuses, Hôpital Raymond Poincaré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92380 Garches, France
| | - Sebastien Beaune
- Service d'Accueil des Urgences, Hôpital Ambroise Paré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92100 Boulogne-Billancourt, France
| | - Pierre De Truchis
- Maladies Infectieuses, Hôpital Raymond Poincaré, Assistance Publique des Hôpitaux de Paris (AP-HP), 92380 Garches, France
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Brigadoi G, Gastaldi A, Moi M, Barbieri E, Rossin S, Biffi A, Cantarutti A, Giaquinto C, Da Dalt L, Donà D. Point-of-Care and Rapid Tests for the Etiological Diagnosis of Respiratory Tract Infections in Children: A Systematic Review and Meta-Analysis. Antibiotics (Basel) 2022; 11:1192. [PMID: 36139971 PMCID: PMC9494981 DOI: 10.3390/antibiotics11091192] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/29/2022] [Accepted: 08/30/2022] [Indexed: 12/01/2022] Open
Abstract
Fever is one of the most common causes of medical evaluation of children, and early discrimination between viral and bacterial infection is essential to reduce inappropriate prescriptions. This study aims to systematically review the effects of point-of-care tests (POCTs) and rapid tests for respiratory tract infections on changing antibiotic prescription rate, length of stay, duration of therapy, and healthcare costs. Embase, MEDLINE, and Cochrane Library databases were systematically searched. All randomized control trials and non-randomized observational studies meeting inclusion criteria were evaluated using the NIH assessment tool. A meta-analysis was performed to assess the effects of rapid influenza diagnostic tests and film-array respiratory panel implementation on selected outcomes. From a total of 6440 studies, 57 were eligible for the review. The analysis was stratified by setting and POCT/rapid test type. The most frequent POCTs or rapid tests implemented were the Rapid Influenza Diagnostic Test and film-array and for those types of test a separate meta-analysis assessed a significant reduction in antibiotic prescription and an improvement in oseltamivir prescription. Implementing POCTs and rapid tests to discriminate between viral and bacterial infections for respiratory pathogens is valuable for improving appropriate antimicrobial prescriptions. However, more studies are needed to assess these findings in pediatric settings.
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Affiliation(s)
- Giulia Brigadoi
- Department for Women’s and Children’s Health, University of Padua, Via Giustiniani 3, 35128 Padua, Italy
| | - Andrea Gastaldi
- Department of Pediatrics, Women’s and Children’s Health, University of Verona, Piazz. Stefani 1, 37126 Verona, Italy
| | - Marco Moi
- Department for Women’s and Children’s Health, University of Padua, Via Giustiniani 3, 35128 Padua, Italy
| | - Elisa Barbieri
- Division of Pediatric Infectious Diseases, Department for Women’s and Children’s Health, University of Padua, Via Giustiniani 3, 35128 Padua, Italy
| | - Sara Rossin
- Pediatric Emergency Department, Department for Woman and Child Health, University of Padua, Via Giustiani 3, 35128 Padua, Italy
| | - Annalisa Biffi
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
| | - Anna Cantarutti
- Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
- National Centre for Healthcare Research and Pharmacoepidemiology, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, 20126 Milan, Italy
| | - Carlo Giaquinto
- Division of Pediatric Infectious Diseases, Department for Women’s and Children’s Health, University of Padua, Via Giustiniani 3, 35128 Padua, Italy
| | - Liviana Da Dalt
- Pediatric Emergency Department, Department for Woman and Child Health, University of Padua, Via Giustiani 3, 35128 Padua, Italy
| | - Daniele Donà
- Division of Pediatric Infectious Diseases, Department for Women’s and Children’s Health, University of Padua, Via Giustiniani 3, 35128 Padua, Italy
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Goldstein E, Fireman BH, Klein NP, Lipsitch M, Ray GT. Antibiotic prescribing across age groups in the Kaiser Permanente Northern California population in association with different diagnoses, and with influenza incidence, 2010-2018. Epidemiol Infect 2022; 150:e85. [PMID: 35506177 PMCID: PMC9074113 DOI: 10.1017/s0950268822000371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 02/14/2022] [Accepted: 02/18/2022] [Indexed: 11/15/2022] Open
Abstract
There is limited information on the volume of antibiotic prescribing that is influenza-associated, resulting from influenza infections and their complications (such as streptococcal pharyngitis and otitis media). Here, we estimated age/diagnosis-specific proportions of antibiotic prescriptions (fills) for the Kaiser Permanente Northern California population during 2010-2018 that were influenza-associated. The proportion of influenza-associated antibiotic prescribing among all antibiotic prescribing was higher in children aged 5-17 years compared to children aged under 5 years, ranging from 1.4% [95% CI (0.7-2.1)] in aged <1 year to 2.7% (1.9-3.4) in aged 15-17 years. For adults aged over 20 years, the proportion of influenza-associated antibiotic prescribing among all antibiotic prescribing was lower, ranging from 0.7% (0.5-1) for aged 25-29 years to 1.6% (1.2-1.9) for aged 60-64 years. Most of the influenza-associated antibiotic prescribing in children aged under 10 years was for ear infections, while for age groups over 25 years, 45-84% of influenza-associated antibiotic prescribing was for respiratory diagnoses without a bacterial indication. This suggests a modest benefit of increasing influenza vaccination coverage for reducing antibiotic prescribing, as well as the potential benefit of other measures to reduce unnecessary antibiotic prescribing for respiratory diagnoses with no bacterial indication in persons aged over 25 years, both of which may further contribute to the mitigation of antimicrobial resistance.
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Affiliation(s)
- Edward Goldstein
- Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | | | - Nicola P. Klein
- Kaiser Permanente Division of Research, Oakland, CA 94612 USA
- Kaiser Permanente Vaccine Study Center, Oakland, CA 94612 USA
| | - Marc Lipsitch
- Department of Epidemiology, Center for Communicable Disease Dynamics, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115 USA
| | - G. Thomas Ray
- Kaiser Permanente Division of Research, Oakland, CA 94612 USA
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Yang M, Liu X, Hu Q, Li J, Fu S, Chen D, Wu Y, Luo A, Zhang X, Feng R, Xu G, Liu C, Jiang H, Liu W. Eosinopenia as a biomarker for antibiotic use in COPD exacerbations: protocol for a retrospective hospital-based cohort study. BMJ Open 2022; 12:e051939. [PMID: 35058259 PMCID: PMC8783821 DOI: 10.1136/bmjopen-2021-051939] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
INTRODUCTION The acute exacerbation of chronic obstructive pulmonary disease (AECOPD) has a seriously negative impact on patients' healths condition and disease progression. Bacterial infection is closely related to AECOPD, and antibiotics are frequently used in clinical practice. The lack of specific biomarkers for rational antibiotics use always leads to antibiotics abuse in chronic obstructive pulmonary disease (COPD) flare-ups. Eosinopenia has been considered to be related to increased bacterial load of potentially pathogenic organisms at the onset of COPD exacerbations. Therefore, this study aims to investigate whether eosinopenia could be used as a reference for the use of antibiotics in AECOPD. METHODS AND ANALYSIS In this study, a hospital-based retrospective cohort design will be adopted to analyse the clinical data of inpatients who are primarily diagnosed with AECOPD in West China Hospital of Sichuan University from 1 January 2010 to 31 December 2020. Relevant data will be extracted from the Clinical Big Data Platform for Scientific Research in West China Hospital, including demographic characteristics, blood eosinophil count, procalcitonin, C reactive protein, microbial cultivation, antibiotics use, length of hospital stay, non-invasive ventilation use, intensive care unit transfer and mortality, etc. The collected data will be described and inferred by corresponding statistical methods according to the data type and their distributions. Multiple binary logistic regression models will be used to analyse the relationship between blood eosinophil count and bacterial infection. The antibiotics use, and patient morbidity and mortality will be compared between patients with or without eosinopenia. ETHICS AND DISSEMINATION This study has been approved by the Biomedical Ethics Review Board of West China Hospital of Sichuan University (Approval No. 2020-1056). And the research results will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER ChiCTR2000039379.
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Affiliation(s)
- Mei Yang
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Xuemei Liu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
- Department of Pulmonary Diseases, State Key Laboratory of Biotherapy of China, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Qiongqiong Hu
- West China School of Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Junjie Li
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Sijia Fu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Daohong Chen
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Yanqing Wu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Ai Luo
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Xiawei Zhang
- Respiratory Medicine Unit and National Institute for Health Research, Nuffield Department of Medicine Experimental Medicine, Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Ruizhi Feng
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Guo Xu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Can Liu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Hongli Jiang
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Wei Liu
- Division of Pulmonary Diseases, Department of Integrated Traditional and Western Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
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