Related Experiment Video

Updated: Aug 27, 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

Prediction and verification of the effect of psoriasis on coronary heart disease based on artificial neural network

An-Hai Li1, Meng-Meng Qi2, Wen-Wen Li3

  • 1Department of Dermatology, Qingdao Huangdao District Central Hospital, Qingdao, Shandong, China.

Heliyon
|September 27, 2022
PubMed

Insights

Psoriasis increases coronary heart disease risk. Key factors like age, lipids, and minerals predict complications in psoriasis patients, aiding early detection and prevention.

Area of Science:

  • Cardiology
  • Dermatology
  • Biostatistics

Background:

  • Psoriasis is a significant independent risk factor for coronary heart disease (CHD).
  • Understanding CHD complications in psoriasis patients is crucial for effective management.
  • Early identification of risk factors can prevent adverse cardiovascular events.

Purpose of the Study:

  • To identify independent risk factors for CHD in psoriasis patients.
  • To develop a predictive model for distinguishing psoriasis, CHD, and co-existing psoriasis with CHD.
  • To support clinical diagnosis and prevention strategies for CHD in psoriasis.

Main Methods:

  • Collected data from a case system at Qingdao University.
  • Extracted and analyzed common laboratory indicators.
  • Employed Artificial Neural Network (ANN) and logistic regression for patient classification.

Main Results:

  • The ANN model achieved an accuracy exceeding 79%.
  • Identified independent risk factors for CHD in psoriasis: age, chlorinated, phosphorus, magnesium, low-density lipoprotein, triglycerides, high-density lipoprotein, and total cholesterol.
  • Identified risk factors exacerbating CHD in psoriasis: gender, age, chlorinated, magnesium, triglycerides, and high-density lipoprotein.

Conclusions:

  • The developed approach effectively identifies patients with psoriasis, CHD, or both.
  • The model serves as a valuable clinical support tool for CHD diagnosis and prevention in psoriasis patients.
  • This study highlights specific biomarkers and demographic factors critical for CHD risk assessment in psoriasis.
Abstract

Keywords:
Artificial neural networksCoronary heart diseaseDeep learningMultilayer perceptronPsoriasisRegression

More Related Videos

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients02:28

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients

Published on: March 1, 2024

482
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

Related Concept Videos

Psychoneuroimmunology: Cardiovascular Disease01:27

Psychoneuroimmunology: Cardiovascular Disease

Psychoneuroimmunology (PNI) is a multidisciplinary field that examines how psychological factors, particularly stress, interact with the immune system and impact physical health. Research in PNI has shown that chronic or traumatic stress can disrupt both the hypothalamic-pituitary-adrenal axis and the sympathetic nervous system. These disruptions contribute to serious health conditions, including cardiovascular diseases.
A key area of focus in PNI is the relationship between stress and coronary...
65
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...
47
Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...
25
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...
25
Atherosclerosis I: Introduction01:30

Atherosclerosis I: Introduction

Atherosclerosis is a progressive disorder characterized by the buildup of plaques on the arterial inner wall, causing them to narrow and harden over time. These plaques comprise lipids, calcium, blood components, carbohydrates, and fibrous tissue. The process primarily affects the intima of large and medium-sized arteries, reducing blood flow in any artery.Etiology and risk factorsThe cause of atherosclerosis is multifactorial, involving a complex interplay among endothelial injury, lipid...
44
Atherosclerosis III: Management01:26

Atherosclerosis III: Management

Management of atherosclerosis involves an integrated strategy encompassing pharmacological treatment, surgical interventions, lifestyle changes, and nutrition therapy to address the multifactorial nature of the disease.Pharmacological TherapyA cornerstone of atherosclerosis management is the use of pharmacological agents. Statins, such as atorvastatin, are pivotal in inhibiting HMG-CoA reductase, an enzyme that catalyzes an initial step in cholesterol synthesis in the liver. This reduction in...
24