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Related Concept Videos

Asthma: Pathogenesis and Management01:20

Asthma: Pathogenesis and Management

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.
Asthma-II: Pathophysiology and Classification01:26

Asthma-II: Pathophysiology and Classification

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:
Asthma-III: Symptoms and Complications01:24

Asthma-III: Symptoms and Complications

Asthma, a common chronic respiratory condition, is classified considering the frequency and severity of symptoms alongside lung function impairment. Understanding this classification is essential for appropriate treatment and management. Here's a detailed look at the classification of asthma and its clinical features and complications:
Classification of Asthma
Asthma-IV: Diagnostic and Management01:30

Asthma-IV: Diagnostic and Management

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:
Asthma-IV: Nursing Management01:30

Asthma-IV: Nursing Management

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...
Asthma III: Clinical Manifestations01:13

Asthma III: Clinical Manifestations

Asthma presents with a characteristic pattern of episodic respiratory symptoms that reflect underlying airway inflammation, bronchoconstriction, and mucus hypersecretion. Although severity varies among individuals, certain clinical manifestations are considered hallmarks of the disorder and often guide diagnosis and assessment.Respiratory SymptomsA persistent cough is one of the most common early features of asthma. It is frequently dry and tends to worsen at night or in the early morning,...

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Bronchial Thermoplasty: A Novel Therapeutic Approach to Severe Asthma
14:39

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Data management procedures in the Asthma Clinical Research Network.

R M Pogash1, S J Boehmer, P E Forand

  • 1Department of Health Evaluation Sciences, College of Medicine, Pennsylvania State University, Hershey, PA 17033, USA.

Controlled Clinical Trials
|December 1, 2001
PubMed
Summary

Effective data management is crucial for high-quality multicenter clinical trial data. This study details the Asthma Clinical Research Network

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Area of Science:

  • Clinical Trials
  • Data Management
  • Health Informatics

Background:

  • High-quality data is critical for the success of multicenter clinical trials.
  • Robust data management processes are essential to ensure data integrity and reliability.
  • The Asthma Clinical Research Network (ACRN) required a comprehensive data management system.

Purpose of the Study:

  • To describe the data management processes and systems developed by the ACRN data coordinating center.
  • To outline a system for handling clinical trial data from collection through statistical analysis.
  • To detail methods for monitoring and reporting data quality in a multicenter setting.

Main Methods:

  • Development of a distributed database management system with modular applications.
  • Implementation of combined manual and electronic processes for data handling.
  • Establishment of procedures for data entry, tracking, verification, validation, and editing.

Main Results:

  • A functional data management system was successfully implemented.
  • The system integrated manual and electronic components for efficient data processing.
  • Processes for continuous data quality monitoring and reporting were established.

Conclusions:

  • Well-designed data management is fundamental to ensuring data quality in multicenter clinical trials.
  • The described system provides a framework for effective data processing and quality control.
  • The ACRN data management approach supports reliable statistical analysis and trial outcomes.