Title
Chronic obstructive pulmonary disease phenotypes using cluster analysis of electronic medical records.
Abstract
Chronic obstructive pulmonary disease is a heterogeneous disease. In this retrospective study, we hypothesize that it is possible to identify clinically relevant phenotypes by applying clustering methods to electronic medical records. We included all the patients >40 years with a diagnosis of chronic obstructive pulmonary disease admitted to the University of New Mexico Hospital between 1 January 2011 and 1 May 2014. We collected admissions, demographics, comorbidities, severity markers and treatments. A total of 3144 patients met the inclusion criteria: 46 percent were >65 years and 52 percent were males. The median Charlson score was 2 (interquartile range: 1-4) and the most frequent comorbidities were depression (36%), congestive heart failure (25%), obesity (19%), cancer (19%) and mild liver disease (18%). Using the sphere exclusion method, nine clusters were obtained: depression-chronic obstructive pulmonary disease, coronary artery disease-chronic obstructive pulmonary disease, cerebrovascular disease-chronic obstructive pulmonary disease, malignancy-chronic obstructive pulmonary disease, advanced malignancy-chronic obstructive pulmonary disease, diabetes mellitus-chronic kidney disease-chronic obstructive pulmonary disease, young age-few comorbidities-high readmission rates-chronic obstructive pulmonary disease, atopy-chronic obstructive pulmonary disease, and advanced disease-chronic obstructive pulmonary disease. These clusters will need to be validated prospectively.
Year
DOI
Venue
2018
10.1177/1460458216675661
HEALTH INFORMATICS JOURNAL
Keywords
Field
DocType
asthma,comorbidity,chronic obstructive pulmonary disease,epidemiology,factor analysis,phenotype
Disease,Nursing,Asthma,Epidemiology,Intensive care medicine,Comorbidity,Medical record,Retrospective cohort study,Medical emergency,Medicine
Journal
Volume
Issue
ISSN
24.0
SP4.0
1460-4582
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Rodrigo Vazquez Guillamet100.34
Oleg Ursu272.88
Gary Iwamoto300.34
Pope L. Moseley400.34
Tudor I Oprea535946.89