Automated cell differential count in sputum is feasible and comparable to manual cell count in identifying eosinophilia
Autor: | Vibeke Backer, Celeste Porsbjerg, Jesper Østrup Nielsen, Morten Hvidtfeldt, Alexander Silberbrandt, Laurits Frøssing, Thomas Hartvig Lindkær Jensen, Deborah Parker |
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Rok vydání: | 2021 |
Předmět: |
Pulmonary and Respiratory Medicine
medicine.medical_specialty Neutrophils Cell Induced sputum Cell Count Leukocyte Count 03 medical and health sciences 0302 clinical medicine Internal medicine medicine Humans Immunology and Allergy Eosinophilia 030212 general & internal medicine Pulmonary Eosinophilia Routine care Asthma business.industry Sputum Gold standard (test) medicine.disease respiratory tract diseases Eosinophils medicine.anatomical_structure 030228 respiratory system Pediatrics Perinatology and Child Health medicine.symptom business |
Zdroj: | Journal of Asthma. 59:552-560 |
ISSN: | 1532-4303 0277-0903 |
Popis: | Cell differential count (CDC) of induced sputum is considered the gold standard for inflammatory phenotyping of asthma but is not implemented in routine care due to its heavy time- and staff demands. Digital Cell Morphology is a technique where digital images of cells are captured and presented preclassified as white blood cells (neutrophils, eosinophils, lymphocytes, macrophages, and unidentified) and nonwhite blood cells for review. With this study, we wanted to assess the accuracy of an automated CDC in identifying the key inflammatory cells in induced sputum.Sputum from 50 patients with asthma was collected and processed using the standard processing protocol with one drop 20% albumin added to hinder cell smudging. Each slide was counted automatically using the CellaVision DM96 and manually by an experienced lab technician. Sputum was classified as eosinophilic or neutrophilic using 3% and 61% cutoffs, respectively.We found a good agreement using intraclass correlation for all target cells, despite significant differences in the cell count rate. The automated CDC had a sensitivity of 65%, a specificity of 93%, and a kappa-coefficient of 0.61 for identification of sputum eosinophilia. In contrast, the automated CDC had a sensitivity of 29%, a specificity of 100%, and a kappa-coefficient of 0.23 for identification of sputum neutrophilia.Automated- and manual cell counts of sputum agree with regards to the key inflammatory cells. The automated cell count had a modest sensitivity but a high specificity for the identification of both neutrophil and eosinophil asthma. |
Databáze: | OpenAIRE |
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