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




Increased Probability of Sepsis Mortality Associated with SOFA Score

By LabMedica International staff writers
Posted on 17 Aug 2017
Sepsis-related organ failure assessment score, also known as sequential organ failure assessment score (SOFA score), is used to track a person's status during the stay in an intensive care unit (ICU) to determine the extent of a person's organ function or rate of failure.

The score is based on six different scores, one each for the respiratory, cardiovascular, hepatic, coagulation, renal and neurological systems. More...
Both the mean and highest SOFA scores are predictors of outcome. An increase in SOFA score during the first 24 to 48 hours in the ICU predicts a mortality rate of at least 50% up to 95%. Scores less than nine give predictive mortality at 33% while above 11 can be close to or above 95%.

Scientists at the Diagnostics Engineering & Research GmbH (Dossenheim, Germany) working with their medical colleagues compared sepsis biomarkers with a quick SOFA (qSOFA) for differentiation of sepsis, severe sepsis or septic shock and risk of mortality prediction. The group studied 66 patients admitted with signs of sepsis..Severe sepsis and septic shock were defined according to current guidelines. The qSOFA score was calculated from respiratory rate, Glasgow Coma Scale (GCS) score and systolic blood pressure using the recommended thresholds.

Presepsin (PSEP) and procalcitonin (PCT) were determined using the point of care (POC) assay PATHFAST Presepsin, and the BRAHMS luminescence immune assay. The team reported that discrimination between 30 sepsis (mortality=6.6%) and 36 patients with severe sepsis or septic shock (mortality=36.1%) revealed area under the curve (AUC) values of 0.621, 0.627, 0.731, 0.740 and 0.781 for lactate, PCT, qSOFA, PSEP and the combination qSOFA+PSEP, respectively. Using the threshold ≥2 of qSOFA and ≥500 ng/L of PSEP, the combination qSOFA+PSEP detected 14 non-survivors (93%) and 33/36 (92%) patients of the high-risk group whereas qSOFA alone detected only 10 non-survivors (67%) and 21 patients of the high-risk group (58%).

The authors concluded that their results demonstrated that the qSOFA score is not a standalone criterion for risk stratification in sepsis at admission. Simultaneous assessment by combining qSOFA and PSEP improved the validity significantly. The POC assay PATHFAST Presepsin showed superior performance compared to lactate and PCT. The study was presented at the 69th Annual meeting of American Association for Clinical Chemistry held August 1–3, 2017, in San Diego, CA, USA.

Related Links:
Diagnostics Engineering & Research


Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Benchtop Cooler
PCR-Cooler & PCR-Rack
New
Nutating Mixer
Enduro MiniMix
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

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

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.