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Back to the "Gold Standard": How Precise is Hematocrit Detection Today?


Livshits, Leonid; Bilu, Tal; Peretz, Sari; Bogdanova, Anna; Gassmann, Max; Eitam, Harel; Koren, Ariel; Levin, Carina (2022). Back to the "Gold Standard": How Precise is Hematocrit Detection Today? Mediterranean Journal of Hematology and Infectious Diseases, 14(1):e2022049.

Abstract

Introduction: The commonly used method for hematocrit detection, by visual examination of microcapillary tube, known as "micro-HCT", is subjective but remains one of the key sources for fast hematocrit evaluation. Analytical automation techniques have increased the standardization of RBC index detection; however, indirect hematocrit measurements by blood analyzer, the automated HCT, do not correlate well with "micro-HCT" results in patients with hematological pathologies. We aimed to overcome those disadvantages in "micro-HCT" analysis using "ImageJ" processing software.

Methods: 223 blood samples from the "general population" and 19 from sickle cell disease patients were examined in parallel for hematocrit values using the automated HCT, standard "micro-HCT," and "ImageJ" micro-HCT methods.

Results: For the "general population" samples, the "ImageJ" values were significantly higher than the corresponding values evaluated by standard "micro-HCT" and automated HCT, except for the 0 to 2 month old newborns, in which the automated HCT results were similar to the "ImageJ" evaluated HCT. Similar to the "general population" cohort, we found significantly higher values measured by "ImageJ" compared to either "micro-HCT" or the automated HCT in SCD patients. Correspondent differences for the MCV and MCHC were also found.

Discussion: This study introduces the "micro-HCT" assessment technique using the image-analysis module of "ImageJ" software. This procedure allows overcoming most of the data errors associated with the standard "micro-HCT" evaluation and can replace the use of complicated and expensive automated equipment. The presented results may also be used to develop new standards for calculating hematocrit and associated parameters for routine clinical practice.

Keywords: Image analysis; Microcapillary hematocrit; RBC indices.

Abstract

Introduction: The commonly used method for hematocrit detection, by visual examination of microcapillary tube, known as "micro-HCT", is subjective but remains one of the key sources for fast hematocrit evaluation. Analytical automation techniques have increased the standardization of RBC index detection; however, indirect hematocrit measurements by blood analyzer, the automated HCT, do not correlate well with "micro-HCT" results in patients with hematological pathologies. We aimed to overcome those disadvantages in "micro-HCT" analysis using "ImageJ" processing software.

Methods: 223 blood samples from the "general population" and 19 from sickle cell disease patients were examined in parallel for hematocrit values using the automated HCT, standard "micro-HCT," and "ImageJ" micro-HCT methods.

Results: For the "general population" samples, the "ImageJ" values were significantly higher than the corresponding values evaluated by standard "micro-HCT" and automated HCT, except for the 0 to 2 month old newborns, in which the automated HCT results were similar to the "ImageJ" evaluated HCT. Similar to the "general population" cohort, we found significantly higher values measured by "ImageJ" compared to either "micro-HCT" or the automated HCT in SCD patients. Correspondent differences for the MCV and MCHC were also found.

Discussion: This study introduces the "micro-HCT" assessment technique using the image-analysis module of "ImageJ" software. This procedure allows overcoming most of the data errors associated with the standard "micro-HCT" evaluation and can replace the use of complicated and expensive automated equipment. The presented results may also be used to develop new standards for calculating hematocrit and associated parameters for routine clinical practice.

Keywords: Image analysis; Microcapillary hematocrit; RBC indices.

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Item Type:Journal Article, not_refereed, original work
Communities & Collections:04 Faculty of Medicine > Zurich Center for Integrative Human Physiology (ZIHP)
05 Vetsuisse Faculty > Veterinärwissenschaftliches Institut > Institute of Veterinary Physiology
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Health Sciences > Hematology
Health Sciences > Infectious Diseases
Uncontrolled Keywords:Infectious Diseases, Hematology
Language:English
Date:29 June 2022
Deposited On:04 Nov 2022 08:26
Last Modified:27 Jun 2024 01:40
Publisher:Catholic University
ISSN:2035-3006
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.4084/mjhid.2022.049
PubMed ID:35865397
  • Content: Published Version
  • Licence: Creative Commons: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)