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Myocardial Infarction Protocol PhenX Toolkit

- 4/26/16 - 1 form, 1 itemgroup, 18 items, 1 language
Itemgroup: PhenX - myocardial infarct protocol
This measure assesses if an individual has had a myocardial infarction (MI) through collection of personal history of disease, treatment and procedure histories, and medical record abstraction. ODM derived from: https://cde.nlm.nih.gov Primary source: https://www.phenxtoolkit.org/ Recent publication: Hendershot, T., Pan, H., Haines, J., Harlan, W.R., Marazita, M.L., McCarty, C.A., Ramos, E.M., and Hamilton, C.M. (2015) Using the PhenX toolkit to add standard measures to a study. Curr. Protoc. Hum. Genet. 86:1.21.1-1.21.17. doi: 10.1002/0471142905.hg0121s86 Permission to publish granted by Carol M. Hamilton.

CDASH ECG – Scenario 2 (local processing) - ECG – Scenario 2 (local processing)

- 6/20/18 - 1 form, 3 itemgroups, 16 items, 2 languages
Itemgroups: General information, ECG Information (Local processing), ECG Results
modified from http://www.cdisc.org

Acute coronary syndrome (clinical) DSS 2013- Coronary artery cluster Metadata Online Registry (METeOR)

- 9/4/16 - 1 form, 1 itemgroup, 14 items, 1 language
Itemgroup: Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Coronary artery cluster: This cluster collects information on the characteristics of and interventions performed for the coronary arteries during the current hospitalisation. The coronary arteries included in this cluster are: · Left anterior descending coronary artery · Inferior surface artery · Left circumflex coronary artery · Diagonal coronary artery · Left main coronary artery · Posterior descending artery · Right coronary artery Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute Coronary Syndrome Common Data Elements - Medication

- 9/27/21 - 10 forms, 23 itemgroups, 68 items, 1 language
Itemgroups: Medication, Aspirin, Anticoagulation, Thrombolytics, Clopidogrel, Low molecular weight heparin, Glycoprotein 2b/3a inhibitors, Unfractionated heparin, Beta-Blocker, Statins, ACE Inhibitors, Angiotensin 2 Receptor Antagonists, Warfarin, Prasugrel, Ticagrelor, Bivalirudin, Fondaparinux, Ticlopidine, Dabigatran, Aldosterone Blocking Agent, Rivaroxaban, Dalteparin, Apixaban
Common Data Elements for Acute Coronary Syndrome

Laboratory

2 itemgroups 36 items

Patient history

1 itemgroup 8 items

ACS-Timepoints

1 itemgroup 16 items

Patient data

2 itemgroups 27 items

Procedures

11 itemgroups 45 items

Diagnosis

8 itemgroups 29 items

Acute coronary syndrome (clinical) DSS 2013- Acute coronary syndrome pharmacotherapy data cluster Metadata Online Registry (METeOR)

- 9/2/16 - 1 form, 2 itemgroups, 14 items, 1 language
Itemgroups: Person with acute coronary syndrome, Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Acute coronary syndrome pharmacotherapy data cluster: The pharmacotherapies collected in this data cluster are recommended for the management of acute coronary syndromes (ACS) in the national guidelines. The following pharmacotherapies are collected as part of this data cluster: · Aspirin · Angiotensin converting enzyme (ACE) inhibitor · Angiotensin II receptor blocker · Antithrombin · Beta-blocker · Clopidogrel · Fibrinolytic · Glycoprotein IIb/IIIa receptor antagonist · Statin The pharmacotherapy cluster collects information on the type of pharmacotherapies prescribed and the timing of each prescription.

Acute coronary syndrome (clinical) DSS 2013- Metadata Online Registry (METeOR)

- 9/2/16 - 1 form, 10 itemgroups, 84 items, 1 language
Itemgroups: Acute coronary syndrome clinical event cluster, Emergency department stay, Episode of admitted patient care, Episode of care, Establishment, Health service event, Laboratory standard, Non-admitted patient emergency department service episode, Person with acute coronary syndrome, Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013- The Acute coronary syndrome (ACS) data set specification is not mandated for collection but is recommended as best practice if ACS data are to be collected. This data set specification enables individual hospitals or health service areas to develop collection methods and policies appropriate for their service. The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Some of the data relevant to the management of patients attending hospital with ACS symptoms is specified for collection at follow-up visits with a specialist or as a non-admitted patient. Acute coronary syndromes reflect the spectrum of coronary artery disease resulting in acute myocardial ischaemia, and span unstable angina, non-ST segment elevation myocardial infarction (NSTEMI) and ST-segment elevation myocardial infarction (STEMI). Clinically these diagnoses encompass a wide variation in risk, require complex and time urgent risk stratification and represent a large social and economic burden. The definitions used in this data set specification are designed to underpin the data collected by health professionals in their day-to-day acute care practice. They relate to the realities of an acute clinical consultation for patients presenting with chest pain/discomfort and the need to correctly identify, evaluate and manage patients at increased risk of a coronary event. The data elements specified in this metadata set provide a framework for: • promoting the delivery of evidenced-based acute coronary syndrome management care to patients; • facilitating the ongoing improvement in the quality and safety of acute coronary syndrome management in acute care settings in Australia and New Zealand; • improving the epidemiological and public health understanding of this syndrome; and • supporting acute care services as they develop information systems to complement the above. This is particularly important, as the scientific evidence supporting the development of the data elements within the ACS data set specification indicate that accurate identification of the evolving myocardial infarction patient or the high/intermediate risk patient leading to the implementation of the appropriate management pathway impacts on the patient's outcome. Having a nationally recognised set of definitions in relation to defining a patient's diagnosis, risk status and outcomes is a prerequisite to achieving the above aims. The ACS data set specification is based on the American College of Cardiology (ACC) Data Set for Acute Coronary Syndrome as published in the Journal of the American College of Cardiology in December 2001 (38:2114-30) as well as more recent scientific evidence around the diagnosis of myocardial infarction presented in the National Heart Foundation of Australia/Cardiac Society of Australia and New Zealand Guidelines for the management of acute coronary syndromes (MJA 2006;184;S1-S32). The data elements are alphabetically listed and grouped in a similar manner to the American College of Cardiology's data set format. These features of the Australian ACS data set should ensure that the data is internationally comparable. Many of the data elements in this data set specification may also be used in the collection of other cardiovascular clinical information. Where appropriate, it may be useful if the data definitions in this data set specification were also used to address data definition needs in non-clinical environments such as public health surveys etc. This could allow for qualitative comparisons between data collected in, and aggregated from, clinical settings (i.e. using application of the ACS data set specification), with that collected through other means (e.g. public health surveys, reports). A set of ACS data elements and standardised definitions can inform the development and conduct of future registries at both the national and local level. The working group formed under the National Heart Foundation of Australia (Heart Foundation) and the Cardiac Society of Australia and New Zealand (CSANZ) initiative was diverse and included representation from the following organisations: the Heart Foundation, the CSANZ, the Australasian College of Emergency Medicine, the Australian Institute of Health and Welfare, the Australasian Society of Cardiac & Thoracic Surgeons, Royal Australian College of Physicians (RACP), RACP - Towards a Safer Culture, National Centre for Classification in Health (Brisbane), the NSW Aboriginal Health & Medical Research Council, the George Institute for International Health, the School of Population Health at the University of Western Australia and the National Cardiovascular Monitoring System Advisory Committee. To ensure the broad acceptance of the data set specification, the working group also sought consultation from the heads of cardiology departments, other specialist professional bodies and regional key opinion leaders in the field of acute coronary syndromes. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Electrocardiogram cluster Metadata Online Registry (METeOR)

- 9/4/16 - 1 form, 2 itemgroups, 10 items, 1 language
Itemgroups: Electrocardiogram, Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Electrocardiogram cluster: An electrocardiogram (ECG) measures the electrical activity of the heart over time. The evaluation of an ECG provides important diagnostic information relevant to the risk stratification, diagnosis and management of acute coronary syndromes. The electrocardiogram cluster collects information on the timing of each ECG and specific diagnostic characteristics determined from the ECG: • ECG change type and location • Bundle-branch block status • Q waves status • ST-segment elevation in lead V4R Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Ventricular ejection fraction cluster Metadata Online Registry (METeOR)

- 9/4/16 - 1 form, 2 itemgroups, 6 items, 1 language
Itemgroups: Person, Ventricular ejection fraction test
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Ventricular ejection fraction cluster: The ventricular ejection fraction is the fraction of blood pumped out of a ventricle with each heart beat. Impaired ventricular ejection fraction can be indicative of damage to the heart muscle, such as that sustained during myocardial infarction. The ventricular ejection fraction cluster collects information on the timing, measurement type and results of a ventricular ejection fraction measurement during the current hospital presentation. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Functional stress test cluster Metadata Online Registry (METeOR)

- 9/4/16 - 1 form, 2 itemgroups, 6 items, 1 language
Itemgroups: Functional stress test, Person
Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Functional stress test cluster: A functional stress test evaluates arterial blood flow to the heart muscle during increased cardiac work through physical exercise or pharmacological methods. The functional stress test cluster collects information on the timing, characteristics and results of a functional stress test performed during the current hospital presentation. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

CDASH ECG – Scenario 3 - ECG – Scenario 3 (central information processing)

- 6/20/18 - 1 form, 3 itemgroups, 17 items, 1 language
Itemgroups: General information, ECG Information (Central processing), ECG Results
modified from http://www.cdisc.org

CDASH ECG - Scenario 1 - ECG – Scenario 1

- 6/20/18 - 1 form, 2 itemgroups, 5 items, 1 language
Itemgroups: General information, ECG
modified from http://www.cdisc.org

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