↓ Skip to main content

Dove Medical Press

Development of a nomogram for predicting in-hospital mortality of patients with exacerbation of chronic obstructive pulmonary disease

Overview of attention for article published in International Journal of Chronic Obstructive Pulmonary Disease, May 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
46 Mendeley
Title
Development of a nomogram for predicting in-hospital mortality of patients with exacerbation of chronic obstructive pulmonary disease
Published in
International Journal of Chronic Obstructive Pulmonary Disease, May 2017
DOI 10.2147/copd.s129714
Pubmed ID
Authors

Yukiyo Sakamoto, Yasuhiro Yamauchi, Hideo Yasunaga, Hideyuki Takeshima, Wakae Hasegawa, Taisuke Jo, Yusuke Sasabuchi, Hiroki Matsui, Kiyohide Fushimi, Takahide Nagase

Abstract

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. 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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Bachelor 5 11%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 6 13%
Unknown 17 37%
Readers by discipline Count As %
Medicine and Dentistry 16 35%
Nursing and Health Professions 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Agricultural and Biological Sciences 2 4%
Environmental Science 1 2%
Other 4 9%
Unknown 17 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2018.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from International Journal of Chronic Obstructive Pulmonary Disease
#2,079
of 2,578 outputs
Outputs of similar age
#249,468
of 324,557 outputs
Outputs of similar age from International Journal of Chronic Obstructive Pulmonary Disease
#61
of 75 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,578 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,557 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.