Validity of TIMI Score for Predicting 14-Day Mortality of Non-ST Elevation Myocardial Infarction Patients

Dileep Kumar1, Tahir Saghir1, Maham Zahid2

  • 1Cardiology, National Institute of Cardiovascular Diseases, Karachi, PAK.

Cureus
|February 10, 2021
PubMed

Insights

The Thrombolysis in Myocardial Infarction (TIMI) risk score effectively predicts 14-day mortality in non-ST elevation myocardial infarction (NSTEMI) patients in Pakistan. This simple score aids in early risk stratification for better patient management.

Area of Science:

  • Cardiology
  • Acute Coronary Syndromes
  • Health Services Research

Background:

  • Accurate risk stratification of non-ST elevation myocardial infarction (NSTEMI) patients upon hospital admission is crucial for effective management.
  • The Thrombolysis in Myocardial Infarction (TIMI) risk score is a validated tool in developed countries for NSTEMI and unstable angina (UA).

Purpose of the Study:

  • To evaluate the predictive validity of the TIMI risk score for 14-day mortality in NSTEMI patients within the Pakistani population.
  • To assess the utility of the TIMI risk score for early risk stratification in a South Asian cohort.

Main Methods:

  • A cross-sectional study involving 300 diagnosed NSTEMI patients in Pakistan.
  • Data collection from medical records, TIMI score calculation, and 14-day outcome recording.
  • Statistical analysis included Receiver Operating Characteristic (ROC) curve analysis and logistic regression.

Main Results:

  • The TIMI risk score demonstrated an Area Under the Curve (AUC) of 0.788 for predicting 14-day mortality.
  • An optimal cutoff of ≥4 was identified with 77.78% sensitivity.
  • Cardiac arrest at presentation and the TIMI risk score were independent predictors of 14-day mortality.

Conclusions:

  • The TIMI risk score is a valuable and straightforward tool for stratifying NSTEMI patients at high risk of 14-day mortality.
  • The score possesses acceptable discriminating ability in the Pakistani NSTEMI population, supporting its use in clinical practice.

Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
536
Acute Coronary Syndrome I: Introduction01:30

Acute Coronary Syndrome I: Introduction

Acute Coronary Syndrome (ACS) encompasses a spectrum of heart conditions caused by sudden obstruction of coronary arteries, typically resulting from the rupture of an atherosclerotic plaque and subsequent thrombus (blood clot) formation. This obstruction can lead to partial or complete blockage of blood flow, causing varying degrees of myocardial ischemia or infarction.ACS includes the following clinical entities:Unstable Angina (UA)Non-ST-Elevation Myocardial Infarction (NSTEMI)ST-Elevation...
286
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...
217
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
393
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...
90