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Related Concept Videos

Mechanical Ventilation I: Indication and Settings01:29

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Mechanical ventilation is a life-saving technique for managing acute respiratory failure and other respiratory complications. The process involves using a machine known as a ventilator to supply oxygen to the lungs and assist in removing carbon dioxide. It serves as a bridge to long-term mechanical ventilation or a temporary measure until ventilatory support is discontinued. The ventilator can maintain this function for a prolonged period, providing critical support for patients until they can...
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Besides the pressure difference between the external environment and the lungs, the airflow rate and ease of pulmonary ventilation are also influenced by three other factors: surface tension of the fluid in the alveoli, compliance of the lungs, and airway resistance.
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Nursing management of pneumonia involves promoting airway patency, facilitating rest and conserving energy, encouraging fluid intake, maintaining nutrition, and educating patients.
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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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Related Experiment Video

Updated: Jan 16, 2026

3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats
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3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

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Risk factors and nomogram for predicting mechanical ventilation in severe pneumonia.

Yong-Jia Chen1, Yu-Fei Zhang1, Da-Lang Huo2

  • 1Department of Hospital Infection Management, The First People's Hospital of Zunyi (The Third Affiliated Hospital of Zunyi Medical University), Zunyi, China.

Frontiers in Medicine
|October 1, 2025
PubMed
Summary

Predicting mechanical ventilation (MV) for severe pneumonia is crucial. A new nomogram using age, oxygenation index, and blood gas values shows promise for early risk stratification in MV prediction.

Keywords:
logistic regressionmechanical ventilationnomogrampredictive modelsevere pneumonia

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Area of Science:

  • Critical Care Medicine
  • Pulmonology
  • Medical Informatics

Background:

  • Severe pneumonia frequently leads to acute respiratory failure, necessitating mechanical ventilation (MV).
  • Early identification of patients requiring MV can improve clinical management and resource allocation.
  • Predictive models for MV in severe pneumonia are essential for timely intervention.

Purpose of the Study:

  • To identify key risk factors for mechanical ventilation (MV) in severe pneumonia patients.
  • To develop and validate a practical nomogram for predicting MV requirement.
  • To aid in early risk stratification and optimize patient management.

Main Methods:

  • Retrospective analysis of 216 severe pneumonia patients (2021-2024).
  • Stratification based on MV use within 24 hours of admission.
  • Multivariable logistic regression to identify predictors and construct a nomogram, validated with ROC curves, bootstrap, calibration, and DCA.

Main Results:

  • Patients requiring MV were older with lower oxygenation index (OI), p(O₂), ScvO₂, and PCT, but higher p(CO₂), p(A-a)O₂, and APACHE II scores.
  • Age, OI, p(O₂), p(CO₂), and p(A-a)O₂ were independent predictors of MV.
  • The nomogram demonstrated excellent predictive performance (AUC=0.819) and calibration (C-index=0.805).

Conclusions:

  • Age, OI, p(O₂), p(CO₂), and p(A-a)O₂ are significant predictors for MV in severe pneumonia.
  • The developed nomogram shows good predictive accuracy, calibration, and clinical utility for early risk stratification.
  • Further prospective multicenter validation is recommended to confirm generalizability.