Development of a nomogram for predicting in-hospital mortality of patients with exacerbation of chronic obstructive pulmonary disease
Received 8 December 2016
Accepted for publication 19 April 2017
Published 29 May 2017 Volume 2017:12 Pages 1605—1611
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Richard Russell
Yukiyo Sakamoto,1 Yasuhiro Yamauchi,1 Hideo Yasunaga,2 Hideyuki Takeshima,1 Wakae Hasegawa,1 Taisuke Jo,1,3 Yusuke Sasabuchi,3 Hiroki Matsui,2 Kiyohide Fushimi,4 Takahide Nagase1
1Department of Respiratory Medicine, Graduate School of Medicine, 2Department of Clinical Epidemiology and Health Economics, School of Public Health, 3Department of Health Services Research, Graduate School of Medicine, University of Tokyo, 4Department of Health Policy and Informatics, Graduate School of Medicine, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
Background and objectives: Patients with chronic obstructive pulmonary disease (COPD) often experience exacerbations of their disease, sometimes requiring hospital admission and being associated with increased mortality. Although previous studies have reported mortality from exacerbations of COPD, there is limited information about prediction of individual in-hospital mortality. We therefore aimed to use data from a nationwide inpatient database in Japan to generate a nomogram for predicting in-hospital mortality from patients’ characteristics on admission.
Methods: We retrospectively collected data on patients with COPD who had been admitted for exacerbations and been discharged between July 1, 2010 and March 31, 2013. We performed multivariable logistic regression analysis to examine factors associated with in-hospital mortality and thereafter used these factors to develop a nomogram for predicting in-hospital prognosis.
Results: The study comprised 3,064 eligible patients. In-hospital death occurred in 209 patients (6.8%). Higher mortality was associated with older age, being male, lower body mass index, disturbance of consciousness, severe dyspnea, history of mechanical ventilation, pneumonia, and having no asthma on admission. We developed a nomogram based on these variables to predict in-hospital mortality. The concordance index of the nomogram was 0.775. Internal validation was performed by a bootstrap method with 50 resamples, and calibration plots were found to be well fitted to predict in-hospital mortality.
Conclusion: We developed a nomogram for predicting in-hospital mortality of exacerbations of COPD. This nomogram could help clinicians to predict risk of in-hospital mortality in individual patients with COPD exacerbation.
Keywords: chronic obstructive pulmonary disease, exacerbation, in-hospital mortality, nomogram
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