Monitoring acute coronary syndrome using national hospital data: an information paper on trends and issues

Publication

Release Date: 22 Dec 2011

Author: AIHW

PDF Report (2.7Mb)

Enter the email address where you would like the PDF sent. This address will not be used for any other purpose.

Acute coronary syndrome (ACS) refers to the spectrum of acute coronary artery diseases spanning acute myocardial infarction (AMI) and unstable angina (UA). They are sudden, severe and life-threatening events. This report reviews the current algorithm for monitoring the incidence of ACS in Australia, presenting a detailed analysis of hospitalisations for AMI and UA. It also presents a range of alternative algorithms for the estimation of ACS incidence. Further work is required to validate these algorithms.

ISBN: 978-1-74249-273-5
Cat. no: CVD 57
Pages: 136

Preliminary material
- Contents
- Acknowledgments
- Abbreviations
- Summary
Body section
- 1 Introduction
  - 1.1 Background
  - 1.2 Objectives
  - 1.3 Structure of report
- 2 Background
  - 2.1 What do we mean by acute coronary syndrome (ACS)?
    - Acute myocardial infarction
    - What is unstable angina?
  - 2.2 Why monitor ACS events on a national level?
  - 2.3 How do we currently monitor ACS events?
  - 2.4 Why review the current method of estimating ACS events?
- 3 Data sources, codes and methods
  - 3.1 National Hospital Morbidity Database
    - Diagnosis codes for ACS events
  - 3.2 National Mortality Database
  - 3.3 Statistical methods
- 4 Issues that impact on monitoring ACS events using national hospital data
  - 4.1 Changes to coding and coding standards
  - 4.2 Changes in diagnostic tests
  - 4.3 Changes in clinical practice
  - 4.4 Monitoring ACS rather than acute myocardial infarction
- 5 Trends in hospitalisations for ACS
  - 5.1 Overview
    - Trends in acute myocardial infarction hospitalisations
      - Age and sex
      - Type of acute myocardial infarction
    - Trends in unstable angina hospitalisations
      - Age and sex
    - Trends in chest pain hospitalisations
  - 5.2 Length of stay
    - Length of stay for acute myocardial infarction hospitalisations
    - Length of stay for unstable angina hospitalisations
    - Length of stay for chest pain hospitalisations
  - 5.3 Urgency of admission
  - 5.4 Transfers
    - Transfers to another acute care hospital
      - Acute myocardial infarction
      - Unstable angina
      - Chest pain
    - Transfers from another acute care hospital
      - Acute myocardial infarction
      - Unstable angina
      - Chest pain
  - 5.5 ACS hospitalisations ending in death
  - 5.6 Region of hospital
    - Transfers by region
    - Length of stay by region
    - Length of stay for transfers by region
  - 5.7 Procedures for ACS events
    - By length of stay
    - Transfers
    - Trends in procedure use
- 6 Deaths
- 7 Alternative algorithms
  - 7.1 Options for consideration
  - 7.2 ACS events
  - 7.3 Case-fatality
  - 7.4 Main points to note from the alternative algorithms
- 8 Discussion and recommendations
  - Monitoring ACS events at a national level
  - The impact of change on national hospital data
  - Trends in deaths that affect the estimation of fatal ACS events
  - Alternative algorithms for estimating ACS events and case-fatality rates from existing administrative data
  - Further work required
End matter
- Appendix A: ICD-10-AM and ACHI codes
  - ICD-10-AM (6th edition) codes for AMI and unstable angina (UA)
    - I21 Acute myocardial infarction (AMI)
    - I22 Subsequent myocardial infarction
  - ACHI (ICD-10-AM 6th edition) codes for cardiac procedures
- Appendix B: Statistical methods
  - Rates
  - Age-standardised rates
    - Direct age-standardisation
    - Population for standardisation
  - Totals
- Appendix C: Detailed tables
  - Overview
  - Length of stay
  - Urgency of admission
  - Transfers
  - Deaths in hospital
  - Remoteness of hospital
  - Procedures
  - Deaths
- Glossary
- References
- List of tables
- List of figures

Find reports & data by topic

Featured reports

Featured

Monitoring acute coronary syndrome using national hospital data: an information paper on trends and issues

Table of contents

AIHW

Feedback