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Related Concept Videos

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT01:25

Imaging Studies for Cardiovascular System VI: Calcium -Scoring CT

Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
Ischemic Stroke l: Introduction01:15

Ischemic Stroke l: Introduction

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Ischemic Heart Disease: Overview01:17

Ischemic Heart Disease: Overview

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Imaging Studies for Cardiovascular System I:Echocardiography

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Related Experiment Video

Updated: Jul 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Screening for myocardial infarction and ischemic stroke: a population-based study.

Devin L Brown1, Lynda D Lisabeth, Stanley J Chetcuti

  • 1Stroke Program, University of Michigan Medical School, Ann Arbor, MI 48109, USA. devinb@umich.edu

Neuroepidemiology
|October 11, 2007
PubMed
Summary

Adding myocardial infarction (MI) surveillance to stroke studies is feasible. Screening for cardiac biomarkers may be more accurate for identifying MI cases than using ICD-9 codes.

Related Experiment Videos

Last Updated: Jul 11, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Cardiovascular epidemiology
  • Public health surveillance

Background:

  • Accurate identification of myocardial infarction (MI) and stroke is crucial for epidemiological insights and vascular disease prevention strategies.
  • Population-based surveillance studies are essential for understanding disease burden and trends.

Purpose of the Study:

  • To assess the feasibility of integrating MI surveillance into an existing population-based stroke surveillance study.
  • To compare the effectiveness of two screening methods for MI ascertainment: ICD-9 codes and cardiac biomarker screening.

Main Methods:

  • A pilot study was conducted, adding MI surveillance to the Brain Attack Surveillance in Corpus Christi (BASIC) Project.
  • Two methods for MI case identification were evaluated: discharge International Classification of Diseases, Ninth Revision (ICD-9) codes and screening for abnormal cardiac biomarkers.

Main Results:

  • The pilot study demonstrated the feasibility of incorporating MI surveillance into community-based stroke surveillance.
  • Screening for abnormal cardiac biomarkers showed potential for greater accuracy and efficiency in identifying MI cases compared to ICD-9 codes.

Conclusions:

  • Integrating MI surveillance into ongoing stroke surveillance programs is a viable approach for enhancing cardiovascular epidemiology.
  • Cardiac biomarker screening presents a promising alternative to ICD-9 codes for more precise and efficient MI case ascertainment in population studies.