| [1] |
Wang C, Xu J, Yang L, et al. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study. Lancet, 2018, 391(10131):1706-1717. doi:10.1016/S0140-6736(18)30841-9.
pmid: 29650248
|
| [2] |
Tisi S, Dickson JL, Horst C, et al. Detection of COPD in the SUMMIT Study lung cancer screening cohort using symptoms and spirometry. Eur Respir J, 2022, 60(6):2200795. doi:10.1183/13993003.00795-2022.
|
| [3] |
Bradley C, Boland A, Clarke L, et al. Diagnosis and treatment outcomes from prebronchodilator spirometry performed alongside lung cancer screening in a Lung Health Check programme. Thorax, 2023, 78(6):543-550. doi:10.1136/thorax-2022-219683.
|
| [4] |
Liu M, Yin D, Wang Y, et al. Comparing the Performance of Two Screening Questionnaires for Chronic Obstructive Pulmonary Disease in the Chinese General Population. Int J Chron Obstruct Pulmon Dis, 2023, 18:541-552. doi:10.2147/COPD.S403603.
|
| [5] |
Yang T, Cai B, Cao B, et al. Exacerbation in patients with stable COPD in China: analysis of a prospective, 52-week, nationwide, observational cohort study (REAL). Ther Adv Respir Dis, 2023, 17: 17534666231167353. doi:10.1177/17534666231167353.
|
| [6] |
Whittaker H, Rubino A, Müllerová H, et al. Frequency and Severity of Exacerbations of COPD Associated with Future Risk of Exacerbations and Mortality: A UK Routine Health Care Data Study. Int J Chron Obstruct Pulmon Dis, 2022, 17:427-437. doi:10.2147/COPD.S346591.
|
| [7] |
Rhodes K, Patel D, Duong ML, et al. Future exacerbations and mortality rates among patients experiencing COPD exacerbations: a meta-analysis of results from the EXACOS/AVOIDEX programme. BMJ Open, 2025, 15(7):e097006. doi:10.1136/bmjopen-2024-097006.
|
| [8] |
Cazzola M, Matera MG. Clinically important deterioration: a composite tool for managing patients with COPD. Respir Med, 2022, 205:107054. doi:10.1016/j.rmed.2022.107054.
|
| [9] |
Newsome SD, Binns C, Kaunzner UW, et al. No evidence of disease activity (NEDA) as a clinical assessment tool for multiple sclerosis: clinician and patient perspectives [Narrative Review]. Neurol Ther, 2023, 12(6):1909-1935. doi:10.1007/s40120-023-00549-7.
pmid: 37819598
|
| [10] |
Deighton C, Rudolf M. How does rheumatoid arthritis need to be managed?. Clin Med (Lond), 2010, 10(2):151-153. doi:10.7861/clinmedicine.10-2-151.
|
| [11] |
Çolak Y, Afzal S, Marott JL, et al. Type-2 inflammation and lung function decline in chronic airway disease in the general population. Thorax, 2024, 79(4):349-358. doi:10.1136/thorax-2023-220972.
pmid: 38195642
|
| [12] |
Ritchie AI, Donaldson GC, Hoffman EA, et al. Structural Predictors of Lung Function Decline in Young Smokers with Normal Spirometry. Am J Respir Crit Care Med, 2024, 209(10):1208-1218. doi:10.1164/rccm.202307-1203OC.
|
| [13] |
Topole E, Biondaro S, Montagna I, et al. Artificial intelligence based software facilitates spirometry quality control in asthma and COPD clinical trials. ERJ Open Res, 2023, 9(1):00292-2022. doi:10.1183/23120541.00292-2022.
|
| [14] |
Wu Y, Xia S, Liang Z, et al. Artificial intelligence in COPD CT images: identification, staging, and quantitation. Respir Res, 2024, 25(1):319. doi:10.1186/s12931-024-02913-z.
|
| [15] |
Hasenstab KA, Yuan N, Retson T, et al. Automated CT staging of chronic obstructive pulmonary disease severity for predicting disease progression and mortality with a deep learning convolutional neural network. Radiol Cardiothorac Imaging, 2021, 3(2):e200477. doi:10.1148/ryct.2021200477.
|
| [16] |
Wu R, de Lara E, Liaqat D, et al. Feasibility of a wearable self-management application for patients with COPD at home: a pilot study. BMC Med Inform Decis Mak, 2024, 24(1):66. doi:10.1186/s12911-024-02461-y.
|