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C22 COPD PHENOTYPES: Empiric Characterization Of Distinct COPD Subphenotypes: The Lower Risk Groups
Using electronic health record (EHR) data collected for routine clinical use, we may identify distinct subgroups of COPD patients. Recursive Paritioning yielded a decision tree that used six laboratory variables (hemoglobin, albumin, creatinine, red cell distribution width (RDW), mean corpuscular he...
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Published in: | American journal of respiratory and critical care medicine 2017-01, Vol.195 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | Using electronic health record (EHR) data collected for routine clinical use, we may identify distinct subgroups of COPD patients. Recursive Paritioning yielded a decision tree that used six laboratory variables (hemoglobin, albumin, creatinine, red cell distribution width (RDW), mean corpuscular hemoglobin (MCH), and absolute neutrophil count (ANC)) to divide the cohort into 5 groups. |
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ISSN: | 1073-449X 1535-4970 |