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Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

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Asthma is a prevalent chronic respiratory condition marked by inflammation and hyperresponsiveness of the airways. Its pathophysiology involves complex interactions among inflammatory pathways, immune responses, and neural mechanisms.
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
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Asthma-I: Introduction01:29

Asthma-I: Introduction

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Asthma is a chronic respiratory ailment that requires careful management due to its varying symptoms and influencing factors. It is characterized by airway inflammation, bronchial hyperresponsiveness, and reversible airflow obstruction, leading to symptoms like wheezing, shortness of breath, chest tightness, and coughing. The symptom frequency and intensity may vary considerably over time. It is also linked to immune system responses to allergens and irritants, highlighting the complex...
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Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

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Asthma is a chronic pulmonary condition involving inflammation of the airways, hyper-reactivity, and reversible obstruction of the airways. This condition can significantly impact a person's quality of life, making breathing difficult and leading to distressing symptoms.
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
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Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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The diagnosis and management of asthma are comprehensive, encompassing clinical assessments, lung function tests, and pharmacological interventions. Here's an overview:
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
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Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

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The nursing management of asthma is a comprehensive approach that relies heavily on the expertise and dedication of healthcare professionals. It involves thorough assessment, accurate diagnosis, strategic planning, effective implementation, and diligent evaluation. By meticulously following this step-by-step process, healthcare professionals play a crucial role in providing the best possible care and treatment for patients with asthma, enhancing their overall health and well-being.
First, in...
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Antiasthma Drugs: Methylxanthines01:24

Antiasthma Drugs: Methylxanthines

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Theophylline, a member of the methylxanthine class of bronchodilators, has long been used in asthma management. While its exact mechanism of action is not fully understood, it is believed to have multiple effects on various cellular processes.
Theophylline is thought to inhibit phosphodiesterase enzymes, increasing intracellular levels of cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP). This rise in cAMP and cGMP concentrations stimulates cardiac function,...
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Related Experiment Video

Updated: Nov 20, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

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Asthma-prone areas modeling using a machine learning model.

Seyed Vahid Razavi-Termeh1, Abolghasem Sadeghi-Niaraki2,3, Soo-Mi Choi4

  • 1Geoinformation Tech. Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, 19697, Tehran, Iran.

Scientific Reports
|January 22, 2021
PubMed
Summary

Asthma prevalence is rising due to environmental factors. This study mapped asthma-prone areas in Tehran, identifying proximity to parks/streets and particulate matter (PM2.5, PM10) as key risk factors.

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Area of Science:

  • Environmental Health
  • Spatial Epidemiology
  • Geographic Information Systems

Background:

  • Increasing global asthma rates linked to population growth, pollution, and lifestyle changes.
  • Need for localized identification of asthma risk factors to inform public health interventions.

Purpose of the Study:

  • To determine asthma-prone areas in Tehran, Iran.
  • To analyze the influence of environmental and spatial factors on asthma occurrence.
  • To create a predictive map of asthma risk.

Main Methods:

  • Development of a spatial database with 872 pediatric asthma cases and 13 environmental variables.
  • Application of a Random Forest (RF) machine learning model and Geographic Information System (GIS).
  • Spatial autocorrelation analysis to assess non-random distribution of asthma cases.

Main Results:

  • Distance to parks and streets, along with PM2.5 and PM10 concentrations, were the most significant factors influencing asthma.
  • Asthma case distribution was found to be spatially clustered, not random.
  • The RF model demonstrated high accuracy, with AUC values of 0.987 for training and 0.921 for testing data.

Conclusions:

  • Environmental and spatial factors, particularly proximity to urban green spaces/roads and air pollution (PM2.5, PM10), are critical determinants of asthma-prone areas in Tehran.
  • The developed RF model accurately predicts asthma risk, providing a valuable tool for targeted public health strategies.
  • Findings highlight the importance of urban planning and air quality management in mitigating asthma burden.