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
Vicotex

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


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Electrolyte Analyzer
CBS-4000 (CBS-400)
New
Gastrointestinal Panel
Xpert® GI Panel
New
Slide Scanner System
NanoZoomer S540MD
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 Avantect Pancreatic Cancer Test combines epigenomic, genomic, and glycan biomarkers with machine learning to detect pancreatic cancer-associated signals in blood (Photo courtesy of ClearNote Health)

Multiomic Blood Test Supports Noninvasive Monitoring and Subtyping in Pancreatic Cancer

Pancreatic ductal adenocarcinoma remains difficult to detect early and monitor during treatment, particularly in patients with homologous recombination defects. Clinicians also have limited noninvasive... Read more

Immunology

view channel
Image: Although many people harbor latent Epstein-Barr virus (EBV), growing evidence has linked the virus to MS pathobiology (Image Credit: Adobe Stock)

Blood EBV Activity Biomarkers May Predict Multiple Sclerosis Relapse Months Ahead

Predicting relapse in multiple sclerosis (MS) remains difficult, limiting opportunities for timely intervention and monitoring. Although many people harbor latent Epstein-Barr virus (EBV), growing evidence... Read more

Microbiology

view channel
Image: Graphical Abstract (Jose A. Céspedes, Maria I. Montañez, Isabel M. Jiménez, et al. Magnetic nanoparticles enable clinically relevant in vitro diagnosis of beta-lactam allergy. Materials Today Bio (2026). DOI: 10.1016/j.mtbio.2026.103356)

Magnetic Nanoparticles Enable More Sensitive Beta-Lactam Allergy Testing

Penicillin allergy labels are common in clinical practice, yet many are incorrect and can lead to suboptimal antibiotic choices. Although 8%–25% of people report a penicillin allergy, only 1%–10% are truly... Read more

Pathology

view channel
Image: The model combines digitized tumor histopathology, clinical variables, and a 42-gene molecular panel using AI to generate a unified recurrence risk prediction (Image Credit: Shutterstock)

Multimodal AI Improves Breast Cancer Recurrence Risk Prediction Beyond Standard Genomic Testing

Predicting which patients with early-stage breast cancer will develop distant recurrence remains difficult, complicating decisions about long-term therapy and surveillance. Widely used genomic assays are... Read more

Technology

view channel
Image: ADLM recommends that emerging AI tools follow the same professional oversight, quality, validation, and monitoring standards as traditional clinical testing within CLIA’s existing framework (Image Credit: Adobe Stock)

ADLM Calls for CLIA Updates to Support Safe AI Use in Laboratory Medicine

Clinical laboratories increasingly use artificial intelligence to verify, interpret, and report results, but safeguards under the Clinical Laboratory Improvement Amendments (CLIA) were designed in 1992.... Read more

Industry

view channel
Image Credit: Adobe Stock

Mayo Clinic and Thermo Fisher Launch Multi-Omics Venture to Identify Early Disease Signals

Many diseases begin developing years before symptoms emerge, making early detection difficult for healthcare systems and clinical laboratories. Linking molecular changes with longitudinal health data could... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.