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
INTEGRA BIOSCIENCES AG

Download Mobile App




Blood Test Quickly Identifies Lethal Form of Sepsis

By LabMedica International staff writers
Posted on 01 Feb 2015
A new nanodiagnostic method using manual application of T2 magnetic resonance (T2MR) to detect Candida species was previously found to have high sensitivity and specificity with rapid time to result. More...


Candida is the most lethal form of common blood stream infections that cause sepsis, a potentially life-threatening illness in which the body has a severe, inflammatory response to a bacterial or fungal infection.

Scientists at Warren Alpert Medical School of Brown University (Providence, RI, USA) working with colleagues from several other institutions conducted a clinical trial from July 31, 2013, to April 24, 2014, at 12 centers. They collected blood specimens from 1,801 hospitalized patients between ages 18 and 95 years old who had a blood culture ordered for routine standard of care.

The teams used the T2Dx instrument that automatically completes all steps in the T2Candida panel after specimen loading. Specifically, T2Dx lyses the red blood cells, concentrates the pathogen cells and cellular debris, lyses the Candida cells by mechanical bead beating, amplifies Candida DNA using a thermostable polymerase (T2Biosystems, Inc.; Lexington, MA, USA) and pan-Candida primers for the intervening transcribed spacer 2 region within the Candida ribosomal DNA operon, and finally, detects amplified product by amplicon-induced agglomeration of supermagnetic particles and T2MR measurement.

The T2 Magnetic Resonance Assay, which includes the T2Candida and the T2Dx instrument, demonstrated an overall sensitivity of 91.1% and an overall specificity of 99.4%. The mean time to positive result for T2Candida was 4.4 hours, compared to 129 hours for blood culture and species identification. The mean time to negative result for T2Candida was 4.2 hours, compared to at least 120 hours for blood culture.

Eleftherios Mylonakis, MD, PhD, the lead author of the study said, “The ability to determine the presence or absence of Candida within hours compared to days is paradigm changing for patients at risk for these infections. It will allow us to move from a 'best-guess' approach in treating high-risk patients, such as cancer and transplant patients and patients in the Intensive Care Unit, to a more informed approach where we can quickly direct the best course of therapy potentially improving patient outcomes and saving lives.” The study was published on January 12, 2015, in the journal Clinical Infectious Diseases.

Related Links:

Warren Alpert Medical School
T2Biosystems, Inc. 



Gold Member
Chagas Disease Test
CHAGAS Cassette
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Cytomegalovirus Test
NovaLisa Cytomegalovirus (CMV) IgG Test
New
Herpes Simplex Virus ELISA
HSV 2 IgG – ELISA
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

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Pathology

view channel
Image: Schematic diagram of multimodal single-cell MSI using tapping-mode scanning probe electrospray ionization (Photo courtesy of Yoichi Otsuka)

New Technology Improves Understanding of Complex Biological Samples

Tissues are composed of a complex mixture of various cell types, which complicates our understanding of their biological roles and the study of diseases. Now, a multi-institutional team of researchers... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.