Nomograms for Predicting Coexisting Cardiovascular Disease and Prognosis in Chronic Obstructive Pulmonary Disease: A Study Based on NHANES Data.

Yuanjie Qiu Yan Wang Nirui Shen Qingting Wang Limin Chai Jian Wang Qianqian Zhang Yuqian Chen Jin Liu Danyang Li Huan Chen Manxiang Li

Published in: Canadian respiratory journal (2022)

The nomograms we developed can help clinicians and patients to identify COPD coexisting CVD early and predict the 5-year and 10-year survival rates of COPD patients, which has some clinical practical values.

Keyphrases

end stage renal disease
cardiovascular disease
ejection fraction
newly diagnosed
chronic kidney disease
chronic obstructive pulmonary disease
type diabetes
lung function
metabolic syndrome
palliative care
cystic fibrosis
machine learning
patient reported outcomes
deep learning
cardiovascular events
data analysis