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Prediction of anemia and estimation of hemoglobin concentration using a smartphone camera

Authors :
Geoffrey Hogan
Caroline P. Meehan
Gregory D. Jay
Selim Suner
İbrahim Ulaş Özturan
Alison B. Chambers
Janette Baird
James Rayner
Source :
PLoS ONE, Vol 16, Iss 7, p e0253495 (2021), PLoS ONE
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

Anemia, defined as a low hemoglobin concentration, has a large impact on the health of the world’s population. We describe the use of a ubiquitous device, the smartphone, to predict hemoglobin concentration and screen for anemia. This was a prospective convenience sample study conducted in Emergency Department (ED) patients of an academic teaching hospital. In an algorithm derivation phase, images of both conjunctiva were obtained from 142 patients in Phase 1 using a smartphone. A region of interest targeting the palpebral conjunctiva was selected from each image. Image-based parameters were extracted and used in stepwise regression analyses to develop a prediction model of estimated hemoglobin (HBc). In Phase 2, a validation model was constructed using data from 202 new ED patients. The final model based on all 344 patients was tested for accuracy in anemia and transfusion thresholds. Hemoglobin concentration ranged from 4.7 to 19.6 g/dL (mean 12.5). In Phase 1, there was a significant association between HBc and laboratory-predicted hemoglobin (HBl) slope = 1.07 (CI = 0.98–1.15), p

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
7
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....c0aed0f81d336e8911b4a7d9a46f6a2b