We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
Sekisui Diagnostics

Download Mobile App




Fragmented Red Blood Cell Measurement Automated

By LabMedica International staff writers
Posted on 02 Jul 2012
The laboratory diagnosis of thrombotic microangiopathies (TMA) or disorders that may mimic their features remains difficult. More...


The detection of schistocytes on the blood smear is a cornerstone finding to assess the diagnosis, but microscopic evaluation of schistocytes is still problematic with wide inter-observer variations.

Hematologists at the University Hospital (Nancy, France) conducted studies comparing automated and microscopic counts of Fragmented Red Blood Cells (FRC) and schistocytes. The data came from the day-to-day analysis of more than 90,000 peripheral blood (PB) samples for 10 years in four centers. More than 900 patients were examined because of a clinical suspicion of TMA and 17 samples were derived from preterm newborns who were supposed to give the highest FRC counts among nonpathologic samples.

FRC were counted by automated direct measurement using the two automated analyzers (ABCC): the ADVIA 120 analyzer (Siemens; Tarrytown, NY, USA) and the XE-2100 analyzer (Sysmex; Kobe, Japan). Schistocyte counting was carried out from May-Grünwald-Giemsa-stained PB smears. The reference range for FRC was less than 0.3% for the ADVIA and less than 0.5% for the Sysmex XE-2100.

The correlation coefficient for Siemens devices was around 0.7. The main problem resulted from an overestimation of FRC as compared to schistocytes from 0.4% to 0.5% for a count of schistocyte ranging from 0% to 1.5%. Conversely, the scientists observed an underestimation of FRC as compared to schistocytes subsequent to this 1.5% threshold. For the Sysmex XE-2100 counter, the overestimation of the FRC was more pronounced, at less 0.8%, and increased slightly with high schistocyte percentages. The presence of FRC below a threshold determined at 1% for both automated analyzers had a negative predictive value (PV) close to 100% to exclude the presence of schistocyte on the blood smear, but in relationship with a poor positive PV value.

The authors concluded that that systematic quantification of FRC might improve the laboratorians' ability to exclude samples with schistocytes. This should be especially useful among patients in whom TMA diagnosis is suspected. However, several limitations deserve consideration such as few false-negative FRC counts in a context of macrocytosis, great lack of specificity. Hence, a PB smear examination was still advised for the validation of the count if needed. The study was published on June 14, 2012, in the International Journal of Laboratory Hematology.

Related Links:

University Hospital
Siemens
Sysmex



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Electrolyte Analyzer
BKE-B
Gold Member
Quantitative POC Immunoassay Analyzer
EASY READER+
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: The test combines RNA signals from the tumor-immune microenvironment to predict treatment response, rather than relying on a single marker such as PD-L1 expression.(Image Credit: Adobe Stock)

RNA-Based Test Predicts Immunotherapy Response in Non-Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) represents the largest U.S. patient population eligible for immune checkpoint inhibitor therapy. Treatment selection often relies on PD-L1 expression, but a single protein... Read more

Immunology

view channel
Image Credit: Adobe Stock

Immune Profiling Identifies Early Maternal Autoantibodies Linked to Preterm Birth Risk

A typical pregnancy lasts about 40 weeks, but labor begins prematurely in roughly one in 10 pregnancies. Preterm birth is the leading cause of newborn death worldwide, yet its underlying causes and which... Read more

Technology

view channel
Image: The laser-based photoacoustic spectroscopy setup consists of a Mid-IR laser equipped with three QCL modules covering wavelengths from 5.6 μm to 12.9 μm, two silver coated mirrors (SCM), a dichroic mirror (DM) with a transmittance of 90%, a thermal power sensor head (PM) to monitor the output laser power, a mechanical chopper (MC) for frequency modulation and a CEPAS-detector with a self-designed swab holder (SH). (Credit: Graunke, T., Scholz, T., Pieniak, M. et al. Scientific Reports (2026). https://doi.org/10.1038/s41598-026-68298-9)

Laser-Based Swab Analysis Shows Promise for Detecting Disease-Linked Odor Patterns

Disease-related changes in volatile organic compounds can alter body odor, producing measurable patterns in exhaled breath and bodily fluids. Current analytical methods can be complex, time-consuming,... Read more

Industry

view channel
Image: NeoGenomics selected Indica Labs’ HALO AP platform to eable its digital pathology operations through a scalable, cloud-based framework (Photo courtesy of Indica Labs)

Expanded Partnership Scales AI-Powered Digital Pathology for Oncology

Oncology diagnostics rely on pathology and biomarker information to guide personalized treatment. As computational pathology and artificial intelligence (AI) expand insights from tissue analysis, laboratories... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.