Related Experiment Video

Updated: Aug 3, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.7K

Correlation Between Biomarkers and Age-Adjusted Charlson Comorbidity Index in Patients With COVID-19: A

Surupa S Kurien1, Regi David2, Ravi P Varma3

  • 1Pathology and Laboratory Medicine, Government Medical College & Hospital, Thiruvananthapuram, Thiruvananthapuram, IND.

Cureus
|April 12, 2023
PubMed

Insights

Older age and more comorbidities in COVID-19 patients correlate with altered laboratory markers. This meta-inflammation may explain increased mortality risk in these vulnerable populations.

Area of Science:

  • Infectious Diseases
  • Immunology
  • Geriatric Medicine

Background:

  • Coronaviruses have caused severe outbreaks, including the ongoing COVID-19 pandemic.
  • Comorbidities are linked to inflammation and can worsen COVID-19 severity.
  • Laboratory markers help prioritize COVID-19 patients for care.

Purpose of the Study:

  • To investigate the impact of age and comorbidities on laboratory markers in COVID-19 patients.
  • To understand the relationship between patient demographics and inflammatory markers.

Main Methods:

  • Single-center retrospective study of 387 COVID-19 patients (age >18).
  • Patients categorized by age-adjusted Charlson Comorbidity Index (ACCI) score.
  • Comparison of demographic, clinical, laboratory factors, and outcomes between groups.

Main Results:

  • Patients with higher ACCI scores (Group B) had increased ICU admission and mortality.
  • Group B showed significantly higher mean values for most laboratory markers.
  • A correlation was found between ACCI score and biomarker levels.

Conclusions:

  • Age and number of comorbidities correlate with laboratory markers in COVID-19.
  • Meta-inflammation from aging and comorbidities may drive COVID-19 hyperinflammation.
  • This explains the higher mortality risk in older patients and those with comorbidities.

Keywords:
age-adjusted charlson comorbidity indexbiomarkerscomorbiditycovid-19indiameta-inflammation

More Related Videos

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.4K
Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-1908:48

Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19

Published on: February 16, 2022

3.0K

Related Concept Videos

Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
410
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
15
Coronary Artery Disease III: Clinical Manifestations01:30

Coronary Artery Disease III: Clinical Manifestations

Coronary Artery Disease (CAD) is a primary health risk worldwide, leading to significant morbidity and mortality. The condition arises from the buildup of atherosclerotic plaques within the coronary arteries, resulting in diminished blood supply to the heart muscle.The clinical manifestations of CAD vary widely, from asymptomatic stages to severe, life-threatening conditions. Understanding these manifestations is crucial for early diagnosis and effective management.Angina Pectoris: The Warning...
19
Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.3K
Coronary Artery Disease I: Introduction01:30

Coronary Artery Disease I: Introduction

Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
39
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.5K