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Related Experiment Videos

Grading asthma severity: using the APS component of the Apache II system

A C Day1, A P Rankin, J A Judson

  • 1Department of Intensive Care, Middlemore Hospital, Auckland, New Zealand.

Intensive Care Medicine
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

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The Acute Physiology Score (APS) effectively measures the severity of acute asthma attacks. This validated tool allows for better comparison of treatments and outcomes in asthma case series.

Area of Science:

  • Critical Care Medicine
  • Respiratory Medicine
  • Clinical Assessment

Background:

  • Accurate severity measurement is crucial for comparing asthma case series, treatments, and outcomes.
  • The Acute Physiology Score (APS) has been proposed as a potential severity measure for acute asthma.

Purpose of the Study:

  • To evaluate the Acute Physiology Score (APS) as a reliable severity measure for acute, life-threatening asthma attacks.
  • To investigate the relationship between APS, treatment interventions, and patient outcomes in acute asthma.

Main Methods:

  • A prospective study was conducted in the Emergency Departments (ED) and Intensive Care Units (ICUs) of two New Zealand hospitals.
  • Data collected included APS, demographic, treatment, and outcome variables for 64 ICU admissions due to acute asthma.

Related Experiment Videos

  • Patients were stratified by ED APS to examine physiological derangement, treatment intensity, and complications.

    • Main Results:

    • Both treatment intensity (e.g., intravenous salbutamol, IPPV) and rate of improvement (change in APS) were strongly correlated with ED APS.
    • Intensive Care Unit (ICU) length of stay correlated with ICU APS.
    • Stratification by ED APS revealed significant differences in physiological status, treatment, and complications between hospitals.

    Conclusions:

    • The APS is validated as an effective method for quantifying the severity of acute asthma attacks.
    • The APS facilitates objective comparison of treatment efficacy and patient outcomes across different asthma case series by correcting for severity.