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Related Concept Videos

Acute Respiratory Failure-V01:29

Acute Respiratory Failure-V

The treatment for acute respiratory failure varies based on factors like the underlying cause, overall health, and severity. A collaborative healthcare team is essential for early detection, often through arterial blood gas analysis. Identifying the cause is the primary goal, with treatment strategies adjusted for ventilation/perfusion (V/Q) mismatch, shunting, or diffusion impairment.
Ensure that patients are monitored continuously for their response to therapy, including changes in...
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
Acute Respiratory Failure-II01:21

Acute Respiratory Failure-II

Type I Respiratory Failure, or hypoxemic respiratory failure, occurs when the partial pressure of oxygen (PaO2) in arterial blood falls below 60 mmHg while breathing room air without a corresponding increase in arterial carbon dioxide levels (PaCO2). This condition highlights a significant impairment in the lungs' capacity to oxygenate the blood.
The underlying physiological abnormalities that contribute to hypoxemic respiratory failure include:
Common Respiratory Disorders01:31

Common Respiratory Disorders

Respiratory disorders, a prevalent health concern globally, are generally divided into two primary categories: upper and lower respiratory tract disorders. The categorization is based on the area of the respiratory system they affect.
Upper respiratory disorders impact the airways above the vocal cords, encompassing areas like the nose, sinuses, and throat. Various conditions fall under this category, including the common cold and allergic rhinitis. These disorders can stem from several causes,...
Respiratory Assessment: Purpose and Indications01:19

Respiratory Assessment: Purpose and Indications

Respiratory assessment is a cornerstone of nursing assessments, crucial for the early detection of patient deterioration. This evaluation transcends routine procedures, representing a critical skill nurses must master to ensure optimal patient care.
Objectives and Importance:
The primary goal of respiratory assessment is to evaluate patients at early risk of clinical deterioration. Since respiratory distress often precedes other signs of declining health, breathing patterns and sounds become a...
Pneumonia I: Introduction01:30

Pneumonia I: Introduction

Pneumonia is an acute respiratory infection that targets the lungs, specifically the alveoli. These tiny air sacs, essential for oxygen exchange, become engorged with pus and fluid, severely hindering breathing, decreasing oxygen absorption, and causing significant pain and discomfort during respiration.
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Various factors influence the likelihood of developing pneumonia. Age plays a crucial role, with infants, children under two, and individuals over 65 at increased risk due to their...

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Experimental Model to Evaluate Resolution of Pneumonia
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Published on: February 17, 2023

Statistical Models Addressing Acute Respiratory Diseases: A Scoping Review.

Monique Boese1, Debora Ribeiro Carvalho2, Adriano Marçal Pimenta2

  • 1Nursing Graduate Program, Federal University of Parana, UFPR, Brazil.

Studies in Health Technology and Informatics
|May 23, 2026
PubMed
Summary
This summary is machine-generated.

Statistical models are crucial for managing respiratory diseases globally. This review shows their use in forecasting demand, analyzing epidemics, and predicting patient risk, aiding health management.

Keywords:
Respiratory tract diseaseshealth managementstatistical modelstime factors

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Last Updated: May 24, 2026

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Surfactant Depletion Combined with Injurious Ventilation Results in a Reproducible Model of the Acute Respiratory Distress Syndrome (ARDS)
06:22

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Published on: April 7, 2021

Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Respiratory diseases pose a significant global health burden.
  • Effective health management requires robust tools for surveillance and prediction.
  • Statistical models offer powerful approaches to address these challenges.

Purpose of the Study:

  • To conduct a scoping review on the application of statistical models in respiratory disease management.
  • To synthesize findings on how statistical models are used for demand forecasting, epidemiological analysis, and risk/prognosis prediction.
  • To identify best practices for utilizing statistical models in healthcare settings.

Main Methods:

  • A comprehensive scoping review following Joanna Briggs Institute methodology.
  • Searches conducted across multiple databases (Medline, Web of Science, LILACS, BVS, CINAHL, EBSCO, EMBASE) from August 2024 to June 2025.
  • Inclusion of articles, theses, dissertations, and technical reports (2014-2025) focusing on statistical models for acute respiratory diseases.

Main Results:

  • Twenty-nine studies were analyzed, categorized into demand forecasting (e.g., SEIR models), epidemiological analysis (e.g., time series, Bayesian models), and risk/prognosis (e.g., machine learning).
  • Models were used for pandemic evolution estimation, case/death prediction, resource allocation, transmission pattern inference, and clinical prediction.
  • Key findings emphasize combining diverse methods and data sources, adapting models to local contexts.

Conclusions:

  • Statistical models are vital for effective respiratory disease surveillance, prognosis, and decision-making.
  • Integrating traditional and modern statistical approaches with local data is essential for dynamic health management.
  • Future efforts should focus on model adaptation and multi-source data integration for improved public health outcomes.