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Author Notes:

melissa.young@emory.edu

Melissa F. Young, Conceptualization, Formal analysis, Funding acquisition, Supervision, Writing – original draft, Writing – review & editing

Kelley Raines, Data curation, Investigation, Validation, Writing – review & editing

Farhad Jameel, Conceptualization, Data curation, Writing – review & editing

Manal Sidi, Data curation, Formal analysis, Investigation, Writing – review & editing

Shaiana Oliveira-Streiff, Conceptualization, Data curation, Formal analysis, Investigation, Writing – review & editing

Paula Nwajei, Data curation, Investigation, Writing – review & editing

Katherine McGlamry, Conceptualization, Data curation, Writing – review & editing

Jiangda Ou, Formal analysis, Validation, Writing – review & editing

Alawode Oladele, Conceptualization, Data curation, Writing – review & editing

Parminder S. Suchdev, Conceptualization, Formal analysis, Writing – review & editing

We thank the dedicated efforts of the Dekalb Board of Health clinical staff, Emory staff, and the participants who volunteered their time. In particular to thank Susan Reines, Gertrude Charles, Beruksew Abebe, Juanita Martin, Chinedu Egbuonu, Naw Taw, Awies Amin, Negasi Endreas, Sandra Hollman. We thank Ralph D. Whitehead, Jr. for technical assistance and advice. We thank Robert Mannino, PhD and Wilbur Lam, MD, PhD for providing training and advice on the smartphone Hgb measurement application. We thank Ted Abney from Masimo for providing training and advice on Masimo Pronto® monitor. We thank Kevin Peacock from Hemocue for providing training and advice on the HemoCue® devices.

The authors have declared that no competing interest exists.

Subjects:

Research Funding:

Supported by the Emory Global Health Institute, Multidisciplinary Global Health Seed Grants. Funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Keywords:

  • Science & Technology
  • Multidisciplinary Sciences
  • Science & Technology - Other Topics
  • NUTRITIONAL-STATUS
  • SEVERE ANEMIA
  • CHILDREN
  • WOMEN
  • HEMOCUE
  • PALLOR
  • INCOME
  • BLOOD

Non-invasive hemoglobin measurement devices require refinement to match diagnostic performance with their high level of usability and acceptability

Journal Title:

PLOS ONE

Volume:

Volume 16, Number 7

Publisher:

, Pages e0254629-e0254629

Type of Work:

Article | Final Publisher PDF

Abstract:

Anemia remains an important global health problem. Inexpensive, accurate, and noninvasive solutions are needed to monitor and evaluate anemia in resource-limited settings. We evaluated the performance of multiple point-of-care hemoglobin devices, including a novel noninvasive smartphone application tested on Apple® and Android® cell phones, Masimo Pronto®, and HemoCue® Hb-301 and Hb-801, against a gold-standard hematology analyzer (reference hemoglobin) using venous blood. We examined correlations between hemoglobin devices and reference hemoglobin, device accuracy (average bias, Bland-Altman plots, clinical performance) and classification bias (sensitivity, specificity) among 299 refugees (10mo-65y) in Atlanta, GA. Semi-structured interviews (n = 19) with participants and staff assessed usability and acceptability. Mean reference hemoglobin was 13.7 g/dL (SD:1.8) with 12.5% anemia. Noninvasive hemoglobin devices were not well correlated with reference hemoglobin (Apple® R2 = 0.08, Android® R2 = 0.11, Masimo Pronto® R2 = 0.29), but stronger correlations were reported with HemoCue® Hb-301 (R2 = 0.87) and Hb-801 (R2 = 0.88). Bias (SD) varied across each device: Apple®: -1.6 g/dL (2.0), Android®: -0.7 g/dL (2.0), Masimo Pronto®: -0.4 g/dL (1.6), HemoCue® Hb-301: +0.4 g/dL (0.7) and HemoCue® Hb-801: +0.2 g/dL (0.6). Clinically acceptable performance (within ± 1 g/dL of reference hemoglobin) was higher for the invasive devices (HemoCue® Hb-301: 90.3%; HemoCue® Hb-801: 93.4%) compared to noninvasive devices (Apple®: 31.5%; Android®: 34.6%; Masimo Pronto®: 49.5%). Sensitivity and specificity were 63.9% and 48.2% for Apple®, 36.1% and 67.6% for Android®, 45.7% and 85.3% for Masimo Pronto®, 54.3% and 97.6% for HemoCue® Hb-301, and 66.7% and 97.6% for HemoCue® Hb-801. Noninvasive devices were considered easy to use and were the preferred method by participants. Among the only studies to compare multiple point-of-care approaches to hemoglobin testing, the diagnostic ability of HemoCue® was comparable to reference hemoglobin, while noninvasive devices had high user acceptability but considerable biases. Improvements in noninvasive device performance and further testing in anemic populations are recommended before broader use.

Copyright information:

© 2021 Young et al

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
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