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




Mean Platelet Volume Determines Crimean-Congo Hemorrhagic Fever Prognosis

By LabMedica International staff writers
Posted on 28 Sep 2015
Crimean-Congo hemorrhagic fever virus (CCHF), a Nairovirus within the family Bunyaviridae, causes severe disease and pancytopenia, organ failures and disseminated intravascular coagulation may occur as a result of CCHF infection.

Changes in the mean platelet volume (MPV), neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) in patients that have recovered from non-fatal CCHF can be predictors for the duration of hospitalization and prognosis.

Scientists at the Recep Tayyip Erdogan University (Rize, Turkey) studied a total of 50 CCHF patients including 27 males and 23 females and a similar age group of 47 healthy individuals including 27 males and 20 females) were included in the study. More...
Hematologic and biochemical tests inclusive of C-reactive protein were conducted on patients and controls. Blood samples were checked for CCHF nucleic acids by real-time reverse transcriptase polymerase chain reaction (RT-PCR).

Biochemical tests were performed using photometric assays using the Abbott Architect c16000 analyzer (Abbott Diagnostics; Abbott Park, IL, USA). Hematological tests for hemoglobin, platelets, white blood cell counts (WBC), and MPV were performed using the Abbott Cell-Dyn Ruby analyzer. The C-reactive protein (CRP) test was performed using the nephelometric method in the Coulter Image 800 autoanalyzer (Beckman Coulter; Fullerton, CA, USA).

The MPV was statistically higher at 8.4 fL (range 6.4 to 9.4 fL) in patients than that of controls at 7.0 fL (range 6.0 to 8.7 fL). The NLR and PLR were similar in both groups. The predictors of the length of hospitalization included decreased white blood (WBC) cell and platelet counts, together with elevated prothrombin time (PT), creatinine and glucose levels. Bicytopenia and pancytopenia could also be seen in patients with CCHF. In severe cases, neutropenia and severe thrombocytopenia are also frequently encountered.

The authors concluded that the MPV was higher in patients, but NLR and PLR were similar in both groups. The MPV, NLR and PLR did not serve as predictors of hospitalization length. However, elevation of PT, creatinine, glucose, along with decreased WBC and platelets counts were found to be predictors of hospitalization period. The study was published in the September 2015 issue of Journal of Microbiology and Infectious Diseases.

Related Links:

Recep Tayyip Erdogan University
Abbott Diagnostics 
Beckman Coulter



Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
βeta-Hydroxybutyrate Reagent
β-Hydroxybutyrate LiquiColor®
Gold Member
Fully-auto Specific Protein (Nephelometry) Analyzer
PA240
Gold Member
NEW PRODUCT : SILICONE WASHING MACHINE TRAY COVER WITH VICOLAB SILICONE NET VICOLAB®
REGISTRED 682.9
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.