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.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Hematological Parameters Predict Severity of Acute Pancreatitis

By LabMedica International staff writers
Posted on 23 Jul 2018
Print article
Image: A blood smear shows size heterogeneity of peripheral red blood cells, known as anisocytosis (Photo courtesy of Dr. Jay Park, MD).
Image: A blood smear shows size heterogeneity of peripheral red blood cells, known as anisocytosis (Photo courtesy of Dr. Jay Park, MD).
Acute pancreatitis (AP) is an acute inflammation of the pancreatic parenchyma induced by activated pancreatic enzymes due to multiple causes. Current severity scores include multiple variables and some of them are only complete within 48 hours of admission.

Until now, no single serum marker is able to predict severity or mortality in AP at admission. Red cell distribution width (RDW) is a routine parameter of the complete blood count test, described as simple, easy, inexpensive and quantitative that measures the size heterogeneity of peripheral red blood cell (RBC), known as anisocytosis.

Gastroenterologists at the University of Coimbra (Coimbra, Portugal) conducted a retrospective case-control study from January 2014 to December 2016, including a total of 312 consecutive admissions with AP. Ninety-one patients with severe AP were identified during the study period (cases) and were compared with patients with mild AP (controls), in the 1:1 proportion.

Biochemical and arterial blood gas (ABG) tests at admission were also registered, including white blood cells (WBC) count, aspartate aminotransferase (AST), alanine aminotransferase (ALT), total bilirubin, platelet count, blood urea nitrogen (BUN), creatinine, international normalized ratio (INR), albumin, lactate dehydrogenase (LDH), serum glucose, hemoglobin, hematocrit, serum amylase, C-reactive protein at 0 hour (CRP0h), CRP at 24 hours (CRP24h), arterial lactate, arterial partial pressure of oxygen, D-dimers, total serum calcium (TSC), RDW at 0 hour (RDW0h), RDW at 24 hour (RDW24h). Additionally, RDW0h-to-TSC ratio and RDW0h-to-platelets ratio were evaluated.

The team found that there was a significant association of severe AP with high BUN (26.6 ± 17.1 versus 19.4 ± 8.8); serum glucose (168.0 ± 72.6 versus 130.9 ± 35.5); RDW0h (14.6 ± 1.3 versus 12.7 ± 0.5); RDW24h (14.3 ± 1.9 versus 12.8 ± 0.5); and RDW0h-to-TSC ratio (1.8 ± 0.4 versus 1.3 ± 0.1). The overall mortality rate was 8.8% (16/182), all cases associated with severe AP, corresponding to a mortality rate of 17.6% (16/91) in the severe AP group. Relatively to mortality in AP and as verified for AP severity, RDW at 0 hours and 24 hours post-admission were the best predictors for mortality in AP, followed by RDW0h-to-TSC ratio.

The authors concluded that RDW is a simple routine parameter, available at admission. The AP cohort showed that RDW0h of greater than 13.0 and RDW0h-to-total serum calcium ratio greater than 1.4 were excellent predictors for severity and RDW0h greater than 14.0 and RDW0h-to-total serum calcium ratio of greater than 1.7 were very-good predictors for mortality, being superior to conventional prognostic scoring systems. The study was published on July 5, 2018, in the journal BMC Gastroenterology.

Related Links:
University of Coimbra

Gold Member
Veterinary Hematology Analyzer
Exigo H400
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Chagas Disease Test
LIAISON Chagas
New
Amoebiasis Test
ELI.H.A Amoeba

Print article

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

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