HDL-Cholesterol Predicts Survival in Cirrhotic Patients with Gastrointestinal Bleeding
|
By LabMedica International staff writers Posted on 10 Dec 2020 |

Image: Histopathology of a cirrhotic liver. High-density lipoprotein cholesterol predicts survival in cirrhotic patients with acute gastrointestinal bleeding (Photo courtesy of Loyola University Chicago).
Liver cirrhosis is an important cause of morbidity and mortality as a consequence of continuous liver injuries. Acute gastrointestinal bleeding is a serious complication and critical clinical event in cirrhotic patients. Hepatitis B virus (HBV) is the leading cause of liver cirrhosis in China.
Since the liver plays a crucial role in cholesterol homeostasis, hypercholesterolemia often occurs in patients with chronic liver diseases. The decrease in serum levels of lipids and lipoproteins is highly prevalent in cirrhotic patients, with a prevalence that increases in parallel with the disease severity.
Infectious disease specialists at the Peking University First Hospital (Beijing, China) evaluated from January 2008 to December 2015, consecutive cirrhotic patients with acute gastrointestinal bleeding who were randomly divided into the derivation (n = 629) and validation (n = 314) cohorts. Liver cirrhosis was confirmed either by liver biopsy or by clinical presentations, routine liver function tests and medical imaging techniques. A logistic regression model was established to confirm the association between lipoprotein cholesterol and mortality. Routine biochemical tests were performed in the hospital laboratory. Lipid profiles include triglyceride, cholesterol, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C).
The investigators reported that on ROC analysis, HDL-C showed excellent diagnostic accuracy for six-week mortality, with an area under the receiver operating characteristic curves (AUROC) of 0.847 (95% CI 0.789–0.905). The best cut-off value of HDL-C was 0.54 mmol/L, with a sensitivity of 85.1% and specificity of 74.2%. The laboratory variables significantly associated with 6-week mortality in the univariate analysis were as follows: hepatocellular carcinoma (HCC), packed red blood cells (PRBC) transfusion, hemoglobin (HGB), total leukocyte count (WBC), alanine aminotransferase (ALT), serum sodium (Na), total bilirubin (TBIL), albumin (ALB), cholesterol, HDL-C, LDL-C, serum creatinine (Scr), international normalized ratio (INR), fibrinogen (FIB). Multivariate logistic regression analyses showed that TBIL, HDL-C, Na, and HGB were independently associated with six-week mortality.
The authors concluded that HDL-C is a potential indicator for the prognosis of patients with cirrhosis and acute gastrointestinal bleeding. The new algorithm based on HDL-C allowed an accurate predictive assessment of 6-week mortality after bleeding attack. The study was published on November 16, 2020 in the journal BMC Gastroenterology.
Related Links:
Peking University First Hospital
Since the liver plays a crucial role in cholesterol homeostasis, hypercholesterolemia often occurs in patients with chronic liver diseases. The decrease in serum levels of lipids and lipoproteins is highly prevalent in cirrhotic patients, with a prevalence that increases in parallel with the disease severity.
Infectious disease specialists at the Peking University First Hospital (Beijing, China) evaluated from January 2008 to December 2015, consecutive cirrhotic patients with acute gastrointestinal bleeding who were randomly divided into the derivation (n = 629) and validation (n = 314) cohorts. Liver cirrhosis was confirmed either by liver biopsy or by clinical presentations, routine liver function tests and medical imaging techniques. A logistic regression model was established to confirm the association between lipoprotein cholesterol and mortality. Routine biochemical tests were performed in the hospital laboratory. Lipid profiles include triglyceride, cholesterol, high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C).
The investigators reported that on ROC analysis, HDL-C showed excellent diagnostic accuracy for six-week mortality, with an area under the receiver operating characteristic curves (AUROC) of 0.847 (95% CI 0.789–0.905). The best cut-off value of HDL-C was 0.54 mmol/L, with a sensitivity of 85.1% and specificity of 74.2%. The laboratory variables significantly associated with 6-week mortality in the univariate analysis were as follows: hepatocellular carcinoma (HCC), packed red blood cells (PRBC) transfusion, hemoglobin (HGB), total leukocyte count (WBC), alanine aminotransferase (ALT), serum sodium (Na), total bilirubin (TBIL), albumin (ALB), cholesterol, HDL-C, LDL-C, serum creatinine (Scr), international normalized ratio (INR), fibrinogen (FIB). Multivariate logistic regression analyses showed that TBIL, HDL-C, Na, and HGB were independently associated with six-week mortality.
The authors concluded that HDL-C is a potential indicator for the prognosis of patients with cirrhosis and acute gastrointestinal bleeding. The new algorithm based on HDL-C allowed an accurate predictive assessment of 6-week mortality after bleeding attack. The study was published on November 16, 2020 in the journal BMC Gastroenterology.
Related Links:
Peking University First Hospital
Latest Clinical Chem. News
- FDA-Approved Test Identifies Low Risk of Large Esophageal Varices in Cirrhosis
- Blood Protein Signature Diagnoses Pediatric IBD and Distinguishes Subtypes
- Blood Test Detects More High-Risk Prostate Cancers Than PSA
- Rapid Blood Test Aids Diagnosis of Acute Ischemic Stroke
- Blood-Based Alzheimer’s Testing Platform Offers Rapid Results
- Maternal Blood Biomarkers Identify Risk of Preterm and Early-Term Birth
- Simple Oral Swab Monitors Persistent Inflammation in Primary Ciliary Dyskinesia
- Simple Blood-Based Cholesterol Efflux Assay Identifies High-Risk Coronary Plaque Features
- Plasma Vitamin C Levels Associated with Brain Structure and Connectivity in Aging
- Mass Spectrometry Detects Tumor Metabolites for Cancer Monitoring
- Urinary Biomarker Assay Predicts Kidney Disease Progression Beyond Standard Measures
- Saliva-Based Test Detects Biochemical Signs of Sleep Loss
- Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
- Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
- Urine-Based Test Shows Promise for Autism Screening in Children
- Blood-Based Sensor Detects Early Signs of Alzheimer’s and Parkinson’s
Channels
Molecular Diagnostics
view channel
Ultrasensitive ctDNA Assay Detects MRD in Breast, Colorectal, Renal Cancers
Minimal residual disease testing is increasingly used to guide adjuvant therapy and surveillance in solid tumors, but detecting very low levels of circulating tumor DNA remains challenging in routine practice.... Read more
Female-Specific RNA Biomarker May Help Explain Sex Differences in Immune Disease
Women show distinct susceptibility to infectious diseases and higher rates of autoimmune disorders, yet the molecular drivers remain unclear. This gap has limited sex-specific diagnostic and prognostic tools.... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channel
New Cellular Biomarkers Correlate with Disease Severity in Sjögren Disease
Autoimmune disorders arise when immune responses target self-antigens, driving chronic inflammation and long-term morbidity. In primary Sjögren disease, inflammation of salivary and lacrimal glands leads... Read more
Airway Immune Signature May Predict Tuberculosis Progression Risk
Tuberculosis remains difficult to predict and prevent, despite widespread exposure worldwide. An estimated quarter of the global population has been infected with Mycobacterium tuberculosis, yet only a... Read moreMicrobiology
view channel
Machine Learning Reveals Consistent Gut Microbiome Patterns in Colorectal Cancer
Colorectal cancer has been repeatedly linked to alterations in the gut microbiome, yet findings have often varied across small, heterogeneous studies. Reproducibility has been limited by differing sequencing... Read more
Study Reveals Widespread Community Spread of Drug-Resistant Klebsiella
Multidrug-resistant Klebsiella pneumoniae is an escalating community health concern, driving recurrent urinary tract infections in older adults and complicating first-line antibiotic therapy.... Read more
Stronger Laboratory Services Support Timely Melioidosis Diagnosis Amid Global Spread
Melioidosis, a potentially fatal infection caused by Burkholderia pseudomallei, remains difficult to recognize because its symptoms can mimic tuberculosis and other illnesses. The disease is considered... Read more
Extracellular Vesicle Biomarker May Enable Noninvasive Monitoring of H. pylori
Helicobacter pylori infects an estimated 43.9% of the global population, affecting approximately 4.4 billion people worldwide. In many regions, including Africa, Eastern Europe, and Southeast Asia, prevalence... Read morePathology
view channel
Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
Reliable histologic subtyping guides therapy selection in oncology, yet diagnostic workflows grow more complex as whole-slide imaging and artificial intelligence (AI) expand. A persistent obstacle to clinical... Read more
Study Highlights Biomarker Testing Delays in Lung Cancer Care
Timely biomarker results are critical to match lung cancer patients with targeted therapies or immunotherapies, yet many clinical pathways still delay testing after biopsy. Ordering responsibility, reimbursement... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel
Project Aims to Develop First Single-Cell Assay for ADC Therapies
Antibody-drug conjugates are expanding rapidly in oncology, intensifying the need for biomarker strategies that capture tumor heterogeneity at cellular resolution. Single-cell profiling can delineate cellular... Read more








