Author:
Chen Jing,Yang Zhao,Yuan Qun,Guo Li-quan,Xiong Da-xi
Abstract
Abstract
Background
Patients hospitalized with chronic obstructive pulmonary disease (COPD) exacerbations are unable to complete the pulmonary function test reliably due to their poor health conditions. Creating an easy-to-use instrument to identify the Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage will offer valuable information that assists clinicians to choose appropriate clinical care to decrease the mortality in these patients. The objective of this study was to develop a prediction model to identify the GOLD stage in the hospitalized exacerbation of chronic obstructive pulmonary disease (ECOPD) patients.
Methods
This prospective study involved 155 patients hospitalized for ECOPD. All participants completed lung function tests and the collection of blood neutrophils and demographic parameters. Receiver operating characteristic (ROC) curve was plotted based on the data of 155 patients, and was used to analyze the disease severity predictive capability of blood neutrophils and demographic parameters. A support vector regression (SVR) based GOLD stage prediction model was built using the training data set (75%), whose accuracy was then verified by the testing data set (25%).
Results
The percentage of blood neutrophils (denoted as NEU%) combined with the demographic parameters was associated with a higher risk to severe episode of ECOPD. The area under the ROC curve was 0.84. The SVR model managed to predict the GOLD stage with an accuracy of 90.24%. The root-mean-square error (RMSE) of the forced expiratory volume in one second as the percentage of the predicted value (denoted as FEV1%pred) was 8.84%.
Conclusions
The NEU% and demographic parameters are associated with the pulmonary function of the hospitalized ECOPD patients. The established prediction model could assist clinicians in diagnosing GOLD stage and planning appropriate clinical care.
Funder
Suzhou Special Technical Project for Diagnosis and Treatment of Key Clinical Diseases
Publisher
Springer Science and Business Media LLC
Subject
Pulmonary and Respiratory Medicine
Reference32 articles.
1. GOLD. Global strategy for the diagnosis, management and prevention of COPD, global initiative for chronic obstructive lung disease (GOLD);2019. [Update 2019] Available from: http://goldcopd.org. Accessed 5 Feb 2019
2. Adeloye D, Chua S, Lee C, Basquill C, Papana A, Theodoratou E, et al. Global and regional estimates of COPD prevalence: systematic review and meta-analysis. J Glob Health. 2015;5: 020415. https://doi.org/10.7189/jogh.05-020415.
3. Projections of mortality and causes of death, 2015 and 2030. Geneva: World Health Organization; Available from: http://www.who.int/healthinfo/global_burden_disease/projections/en/. Accessed on 11 Sept 2017.
4. Burge S, Wedzicha JA. COPD exacerbations: definitions and classifications. Eur Respir J Suppl. 2003;41:46s–53s.
5. Rubinsztajn R, Przybylowski T, Maskey-Warzechowska M, Karwat K, Chazan R. Exacerbations of chronic obstructive pulmonary disease and quality of life of patients. Adv Exp Med Biol. 2016;884:69–74.
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