Evaluating the Usefulness of HEAR Score in Stratifying Patients with Suspected Non-ST Elevation Myocardial Infarction: A Retrospective Observational Study

Background: Chest pain is the common reason for admissions to the cardiac emergency department. The challenge is identifying patients with acute coronary syndrome (ACS), where early diagnosis improves outcomes. Based on history, EKG, age, and risk factors, the HEAR score assigns 0-2 points per category. Objectives: To evaluate the usefulness of HEAR SCORE in stratifying patients with suspected Non-ST Elevation Myocardial Infarction (NSTEMI). Method: This retrospective observational study included 195 patients presenting chest pain and suspected NSTEMI at the Department of Emergency Medicine, KIMSHEALTH, Thiruvananthapuram. The outcomes were observed, and the HEAR scores were subsequently applied. Results: A majority (65%) of patients with a HEAR score of 3were discharged.Patients with scores 4 to 6 HEAR (75%) were admitted and evaluated in the hospital.In the 7 group, 60.5% received early intervention.The HEAR scores for discharge, Hospital admission, evaluation, and early intervention are 2.9000, 4.8018, and 6.6591, respectively.These differences are statistically significant with p-value less than < 0.001.The sensitivity and specificity of a HEAR score greater than 3 for hospitalization are 91% and 65%, respectively.Conclusion: HEAR score effectively stratifies NSTEMI risk, minimizing unnecessary Troponin tests and admissions using a 3 cutoff strategy.

Authors

Publication Details

Journal
International Journal of Science and Research (IJSR)
Published
2025-05-19
DOI
https://doi.org/10.21275/sr25428103426
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Usefulness of HEAR Score in Stratifying Patients with Suspected Non-ST Elevation Myocardial Infarction: A Retrospective Observational Study

Sudhir Unni, Arun Kumar M, Jennifer Kabeer, Shalini Sivadasan et al.
International Journal of Science and Research (IJSR)
Cardiac Imaging and Diagnostics
article

Evaluating the Usefulness of HEAR Score in Stratifying Patients with Suspected Non-ST Elevation Myocardial Infarction: A Retrospective Observational Study

Sudhir Unni, Arun Kumar M, Jennifer Kabeer, Shalini Sivadasan, Shih‐Chi Ku, John P Mani, Hashim Abdul Latheef, Mohammed Emath Haneefa
article en

Abstract

Background: Chest pain is the common reason for admissions to the cardiac emergency department. The challenge is identifying patients with acute coronary syndrome (ACS), where early diagnosis improves outcomes. Based on history, EKG, age, and risk factors, the HEAR score assigns 0-2 points per category. Objectives: To evaluate the usefulness of HEAR SCORE in stratifying patients with suspected Non-ST Elevation Myocardial Infarction (NSTEMI). Method: This retrospective observational study included 195 patients presenting chest pain and suspected NSTEMI at the Department of Emergency Medicine, KIMSHEALTH, Thiruvananthapuram. The outcomes were observed, and the HEAR scores were subsequently applied. Results: A majority (65%) of patients with a HEAR score of 3were discharged.Patients with scores 4 to 6 HEAR (75%) were admitted and evaluated in the hospital.In the 7 group, 60.5% received early intervention.The HEAR scores for discharge, Hospital admission, evaluation, and early intervention are 2.9000, 4.8018, and 6.6591, respectively.These differences are statistically significant with p-value less than < 0.001.The sensitivity and specificity of a HEAR score greater than 3 for hospitalization are 91% and 65%, respectively.Conclusion: HEAR score effectively stratifies NSTEMI risk, minimizing unnecessary Troponin tests and admissions using a 3 cutoff strategy.

International Journal of Science and Research (IJSR)Vol. 14(5)
Openalex Percentile: Top 84%
Cardiac Imaging and Diagnostics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.