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
New Molecular Marker Helps Predict Multiple Myeloma Prognosis
Multiple myeloma is a bone marrow cancer marked by resistance to therapy and frequent relapse, complicating long-term disease control. Better molecular markers are needed to refine risk assessment and... Read more
Blood-Based RNA Biomarker Improves Prediction of Alzheimer’s Onset
Timely identification of patients approaching symptomatic Alzheimer’s disease (AD) remains a major clinical challenge, even as blood-based biomarkers continue to advance. Current assays are highly effective... 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
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
Rapid Gastrointestinal PCR Panels Deliver One-Hour Results
Acute infectious gastroenteritis remains a major cause of illness worldwide, especially in young children, older adults, and immunocompromised patients. Nonspecific symptoms such as diarrhea, vomiting,... Read more
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read more
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 morePathology
view channel
AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
Immunotherapy has transformed care for select malignancies, yet predicting which patients with rare cancers are most likely to benefit remains challenging. Clinicians often have only limited biomarkers... Read more
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 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
Partnership Integrates Automated DNA Extraction with Single-Molecule Digital PCR
Countable Labs (Palo Alto, CA, USA) and Promega (Madison, WI, USA) have entered a co-marketing agreement that integrates the Promega Maxwell System for nucleic acid extraction with Countable Labs’ Countable... Read more








