Diagnostic utility of Global and Regional Longitudinal Strain in assessing the degree of stenosis and the affected artery in patients with acute coronary syndrome of the acute myocardial infarction type without ST-segment elevation

1. Description This dataset contains clinical, echocardiographic and coronary angiography data from patients diagnosed with non-ST elevation myocardial infarction (NSTEMI). The objective of the study was to evaluate the diagnostic usefulness of global and regional myocardial strain obtained by speckle-tracking echocardiography to identify the culprit coronary artery and estimate the degree of coronary obstruction, using coronary angiography as the gold standard. The dataset includes demographic variables, cardiovascular risk factors, echocardiographic parameters (global longitudinal strain and regional strain values), and angiographic findings regarding the affected coronary artery and degree of obstruction. The data correspond to 21 patients who underwent echocardiographic strain analysis followed by coronary angiography. The study evaluates the correlation between strain abnormalities and angiographic findings for the following coronary arteries: Left anterior descending artery (LAD) Right coronary artery (RCA) Circumflex artery (LCx) Preliminary analyses indicate that 16 out of 21 patients showed concordance between abnormal regional strain and angiographic identification of the affected artery, while 5 patients did not show concordance. Among patients with angiographic obstruction greater than 70%, most exhibited abnormal regional strain values greater than −14%, suggesting potential diagnostic value of strain imaging. This dataset is shared to support transparency, reproducibility and further analyses related to cardiac imaging biomarkers in ischemic heart disease. 2. Methods This dataset was generated as part of a clinical observational study evaluating myocardial strain in patients diagnosed with NSTEMI. Patients underwent the following procedures: Clinical evaluation Recording of demographic variables (age, sex). Cardiovascular risk factors including diabetes mellitus, hypertension, smoking, dyslipidemia, obesity and sedentary lifestyle. Echocardiographic assessment Speckle-tracking echocardiography was performed to obtain: Global longitudinal strain (GLS) Regional strain values corresponding to myocardial segments supplied by specific coronary arteries. Abnormal strain thresholds were defined as: GLS abnormal: > −18% Regional strain abnormal: > −14% Coronary angiography All patients subsequently underwent coronary angiography. The angiography identified: Culprit coronary artery (LAD, RCA or LCx) Degree of stenosis expressed as percentage obstruction. Data analysis Correlation was evaluated between regional myocardial strain abnormalities and angiographic findings. Special emphasis was placed on identifying: The artery responsible for the infarction The presence of significant obstruction (>70%). 4. Dataset structure The dataset is provided as an Excel spreadsheet (.xlsx) containing individual patient-level data. Variables included: Patient characteristics Patient ID Sex Age Cardiovascular risk factors Diabetes mellitus Hypertension Smoking Dyslipidemia Obesity Sedentary lifestyle Clinical diagnosis NSTEMI diagnosis Echocardiographic variables Global longitudinal strain (GLS) Left ventricular ejection fraction (LVEF) Regional strain values from myocardial segments supplied by: Left anterior descending artery Right coronary artery Circumflex artery Coronary angiography findings Culprit coronary artery Degree of coronary obstruction