Ammonia Predicts Prognosis in Hepatitis B Virus‐Related Liver Failure
By LabMedica International staff writers Posted on 24 Sep 2020 |

Image: The Vitros 350 clinical chemistry system (Photo courtesy of Ortho Clinical Diagnostic).
Acute‐on‐chronic liver failure (ACLF) is the rapid deterioration of liver function in chronic liver disease often associated with the development of serious complications such as hepatorenal syndrome and hepatic encephalopathy within a short period of time.
Hepatic encephalopathy (HE) is a common feature of acute liver failure and has been reported to be associated with poor outcomes. Ammonia is thought to be central to the pathogenesis of HE, but its role in hepatitis B virus‐related acute‐on‐chronic liver failure (HBV‐ACLF) is unclear.
Clinical Laboratorians at the Zhejiang University (Hangzhou, China) recruited all 127 patients with HBV‐ACLF, defined as total bilirubin (TBIL) ≥ 205 μmol/L and international normalized ratio (INR) ≥ 1.5 according to COSSH‐ACLF criteria, who were treated at their institution between July 2018 and February 2020 for a retrospective study.
Laboratory parameters included total protein, albumin, alanine aminotransferase, aspartate aminotransferase, creatinine, TBIL, arterial ammonia, INR, white blood cell count, platelet count, and blood urea nitrogen. Arterial ammonia was estimated within 24 hours of admission using a Vitros 350 dry chemistry system (Ortho Clinical Diagnostic, Rochester, NY, USA) in heparinized plasma.
The scientists reported that the median ammonia level at enrollment was 55.0 (interquartile range, 36.0‐76.0) and 77 patients (60.6%) had high ammonia at the time of admission. Ammonia level was found to be positively correlated to model for end-stage liver disease (MELD) score and COSSH‐ACLF score. In the study population, there were 61 patients with cirrhosis and 66 patients without cirrhosis. No significant difference between the two groups except that the age of the cirrhosis group was higher than that of the non‐cirrhosis group.
Among the 127 participants, 87 survived and 40 died, representing a 28‐day mortality rate of 31.5%. The mean MELD score, TBIL, INR, white blood cell count, ammonia, and COSSH‐ACLF score were higher among non‐surviving participants; however, the mean age, gender ratio, total protein, albumin, alanine aminotransferase, aspartate aminotransferase, creatinine, blood urea nitrogen, and platelet count were not significantly different between survivors and non‐survivors. Dividing patients according to the ammonia cut‐off value of 73 μmol/L revealed higher ammonia level to be associated with higher alanine aminotransferase, INR, mortality rate, COSSH‐ACLF score and MELD score.
The authors concluded that their results suggest that high ammonia level at admission is an independent factor for predicting short‐term mortality in patients with HBV‐ACLF. Therefore, ammonia levels may represent a therapeutic target for this condition. The study was published on September 11, 2020 in the Journal of Clinical Laboratory Analysis.
Hepatic encephalopathy (HE) is a common feature of acute liver failure and has been reported to be associated with poor outcomes. Ammonia is thought to be central to the pathogenesis of HE, but its role in hepatitis B virus‐related acute‐on‐chronic liver failure (HBV‐ACLF) is unclear.
Clinical Laboratorians at the Zhejiang University (Hangzhou, China) recruited all 127 patients with HBV‐ACLF, defined as total bilirubin (TBIL) ≥ 205 μmol/L and international normalized ratio (INR) ≥ 1.5 according to COSSH‐ACLF criteria, who were treated at their institution between July 2018 and February 2020 for a retrospective study.
Laboratory parameters included total protein, albumin, alanine aminotransferase, aspartate aminotransferase, creatinine, TBIL, arterial ammonia, INR, white blood cell count, platelet count, and blood urea nitrogen. Arterial ammonia was estimated within 24 hours of admission using a Vitros 350 dry chemistry system (Ortho Clinical Diagnostic, Rochester, NY, USA) in heparinized plasma.
The scientists reported that the median ammonia level at enrollment was 55.0 (interquartile range, 36.0‐76.0) and 77 patients (60.6%) had high ammonia at the time of admission. Ammonia level was found to be positively correlated to model for end-stage liver disease (MELD) score and COSSH‐ACLF score. In the study population, there were 61 patients with cirrhosis and 66 patients without cirrhosis. No significant difference between the two groups except that the age of the cirrhosis group was higher than that of the non‐cirrhosis group.
Among the 127 participants, 87 survived and 40 died, representing a 28‐day mortality rate of 31.5%. The mean MELD score, TBIL, INR, white blood cell count, ammonia, and COSSH‐ACLF score were higher among non‐surviving participants; however, the mean age, gender ratio, total protein, albumin, alanine aminotransferase, aspartate aminotransferase, creatinine, blood urea nitrogen, and platelet count were not significantly different between survivors and non‐survivors. Dividing patients according to the ammonia cut‐off value of 73 μmol/L revealed higher ammonia level to be associated with higher alanine aminotransferase, INR, mortality rate, COSSH‐ACLF score and MELD score.
The authors concluded that their results suggest that high ammonia level at admission is an independent factor for predicting short‐term mortality in patients with HBV‐ACLF. Therefore, ammonia levels may represent a therapeutic target for this condition. The study was published on September 11, 2020 in the Journal of Clinical Laboratory Analysis.
Latest Clinical Chem. News
- Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
- Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
- AI-Powered Raman Spectroscopy Method Enables Rapid Drug Detection in Blood
- Novel LC-MS/MS Assay Detects Low Creatinine in Sweat and Saliva
- Biosensing Technology Breakthrough Paves Way for New Methods of Early Disease Detection
- New Saliva Test Rapidly Identifies Paracetamol Overdose
- POC Saliva Testing Device Predicts Heart Failure in 15 Minutes
- Screening Tool Detects Multiple Health Conditions from Single Blood Drop
- Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability
- Rapid Drug Test to Improve Treatment for Patients Presenting to Hospital
- AI Model Detects Cancer at Lightning Speed through Sugar Analyses
- First-Ever Blood-Powered Chip Offers Real-Time Health Monitoring
- New ADLM Guidance Provides Expert Recommendations on Clinical Testing For Respiratory Viral Infections
- 3D Printed Point-Of-Care Mass Spectrometer Outperforms State-Of-The-Art Models
- POC Biomedical Test Spins Water Droplet Using Sound Waves for Cancer Detection
- Highly Reliable Cell-Based Assay Enables Accurate Diagnosis of Endocrine Diseases
Channels
Molecular Diagnostics
view channel
RNA-Based Blood Test Detects Preeclampsia Risk Months Before Symptoms
Preeclampsia remains a major cause of maternal morbidity and mortality, as well as preterm births. Despite current guidelines that aim to identify pregnant women at increased risk of preeclampsia using... Read more
First Of Its Kind Test Uses microRNAs to Predict Toxicity from Cancer Therapy
Many men with early-stage prostate cancer receive stereotactic body radiotherapy (SBRT), a highly precise form of radiation treatment that is completed in just five sessions. Compared to traditional radiation,... Read more
Novel Cell-Based Assay Provides Sensitive and Specific Autoantibody Detection in Demyelination
Anti-myelin-associated glycoprotein (MAG) antibodies serve as markers for an autoimmune demyelinating disorder that affects the peripheral nervous system, leading to sensory impairment. Anti-MAG-IgM antibodies... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
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
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
Handheld Device Deliver Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
Advanced Imaging Reveals Mechanisms Causing Autoimmune Disease
Myasthenia gravis, an autoimmune disease, leads to muscle weakness that can affect a range of muscles, including those needed for basic actions like blinking, smiling, or moving. Researchers have long... Read more
AI Model Effectively Predicts Patient Outcomes in Common Lung Cancer Type
Lung adenocarcinoma, the most common form of non-small cell lung cancer (NSCLC), typically adopts one of six distinct growth patterns, often combining multiple patterns within a single tumor.... Read moreTechnology
view channel
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read more
Innovative, Label-Free Ratiometric Fluorosensor Enables More Sensitive Viral RNA Detection
Viruses present a major global health risk, as demonstrated by recent pandemics, making early detection and identification essential for preventing new outbreaks. While traditional detection methods are... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more