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The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India

BACKGROUND: Clinical guidelines recommend risk stratification of non-ST elevation acute coronary syndrome (NST-ACS) using the GRACE risk score. However, the GRACE risk score is not followed widely in clinical practice due to various reasons. Our primary objectives of this study were to correlate the...

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Autores principales: Kumar, Barun, Kodliwadmath, Ashwin, Upadhyay, Amar Nath, Nath, Ranjit Kumar, Pandit, Neeraj, Wardhan, Harsh, Singh, Anupam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671194/
https://www.ncbi.nlm.nih.gov/pubmed/36204899
http://dx.doi.org/10.4103/aam.aam_85_20
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author Kumar, Barun
Kodliwadmath, Ashwin
Upadhyay, Amar Nath
Nath, Ranjit Kumar
Pandit, Neeraj
Wardhan, Harsh
Singh, Anupam
author_facet Kumar, Barun
Kodliwadmath, Ashwin
Upadhyay, Amar Nath
Nath, Ranjit Kumar
Pandit, Neeraj
Wardhan, Harsh
Singh, Anupam
author_sort Kumar, Barun
collection PubMed
description BACKGROUND: Clinical guidelines recommend risk stratification of non-ST elevation acute coronary syndrome (NST-ACS) using the GRACE risk score. However, the GRACE risk score is not followed widely in clinical practice due to various reasons. Our primary objectives of this study were to correlate the presenting electrocardiogram (ECG) of NST-ACS with coronary angiography (CAG) findings and to identify specific ECG changes that are suggestive of severe coronary artery disease (CAD) thus helping to triage all patients with NST-ACS. MATERIALS AND METHODS: This prospective observational study was undertaken on patients diagnosed with NST-ACS in a medical college hospital, in Northern India over one and a ½ years. The admission ECG of the patients was compared with CAG findings to find out the correlation between the two with respect to severity of CAD. Categorical and quantitative variables were compared using the Chi-square test and independent t-test, respectively. Odds ratio (OR) were calculated using the univariate logistic regression analysis. RESULTS: On comparing the two groups with normal and abnormal ECG, we found that smokers had significantly higher odds of having an abnormal ECG (OR 3.31; 95% confidence interval [CI] [1.29–8.50]). Patients with an abnormal ECG had significantly lower left ventricular ejection fraction compared to those with normal ECG (52.01 ± 10.56 vs. 55.96 ± 6.13%, P = 0.045). The patients with severe CAD on CAG had significantly higher odds of abnormal ECG (OR 3.68, 95% CI [1.2311.04]). Of the specific ECG abnormalities, ST depression and T-wave inversion in same or different leads were significantly associated with severity of CAD (OR 0.13, 95% CI [0.04–0.43], P = 0.001 and OR 0.13, 95% CI [0.03–0.46], P = 0.002, respectively). CONCLUSION: The identification of ECG changes suggestive of high-risk CAD can dictate to transfer such patients without delay to a percutaneous coronary intervention capable hospital for urgent CAG with intent to revascularization, thus helping in risk stratification of NST-ACS at the community level.
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spelling pubmed-96711942022-11-18 The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India Kumar, Barun Kodliwadmath, Ashwin Upadhyay, Amar Nath Nath, Ranjit Kumar Pandit, Neeraj Wardhan, Harsh Singh, Anupam Ann Afr Med Original Article BACKGROUND: Clinical guidelines recommend risk stratification of non-ST elevation acute coronary syndrome (NST-ACS) using the GRACE risk score. However, the GRACE risk score is not followed widely in clinical practice due to various reasons. Our primary objectives of this study were to correlate the presenting electrocardiogram (ECG) of NST-ACS with coronary angiography (CAG) findings and to identify specific ECG changes that are suggestive of severe coronary artery disease (CAD) thus helping to triage all patients with NST-ACS. MATERIALS AND METHODS: This prospective observational study was undertaken on patients diagnosed with NST-ACS in a medical college hospital, in Northern India over one and a ½ years. The admission ECG of the patients was compared with CAG findings to find out the correlation between the two with respect to severity of CAD. Categorical and quantitative variables were compared using the Chi-square test and independent t-test, respectively. Odds ratio (OR) were calculated using the univariate logistic regression analysis. RESULTS: On comparing the two groups with normal and abnormal ECG, we found that smokers had significantly higher odds of having an abnormal ECG (OR 3.31; 95% confidence interval [CI] [1.29–8.50]). Patients with an abnormal ECG had significantly lower left ventricular ejection fraction compared to those with normal ECG (52.01 ± 10.56 vs. 55.96 ± 6.13%, P = 0.045). The patients with severe CAD on CAG had significantly higher odds of abnormal ECG (OR 3.68, 95% CI [1.2311.04]). Of the specific ECG abnormalities, ST depression and T-wave inversion in same or different leads were significantly associated with severity of CAD (OR 0.13, 95% CI [0.04–0.43], P = 0.001 and OR 0.13, 95% CI [0.03–0.46], P = 0.002, respectively). CONCLUSION: The identification of ECG changes suggestive of high-risk CAD can dictate to transfer such patients without delay to a percutaneous coronary intervention capable hospital for urgent CAG with intent to revascularization, thus helping in risk stratification of NST-ACS at the community level. Wolters Kluwer - Medknow 2022 2022-09-26 /pmc/articles/PMC9671194/ /pubmed/36204899 http://dx.doi.org/10.4103/aam.aam_85_20 Text en Copyright: © 2022 Annals of African Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Kumar, Barun
Kodliwadmath, Ashwin
Upadhyay, Amar Nath
Nath, Ranjit Kumar
Pandit, Neeraj
Wardhan, Harsh
Singh, Anupam
The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title_full The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title_fullStr The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title_full_unstemmed The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title_short The Role of 12-Lead Electrocardiogram in the Risk Stratification of Non-St Elevation Acute Coronary Syndrome and the Correlation with Coronary Angiography - The CINCHONA Study - A Prospective Cohort Study in Northern India
title_sort role of 12-lead electrocardiogram in the risk stratification of non-st elevation acute coronary syndrome and the correlation with coronary angiography - the cinchona study - a prospective cohort study in northern india
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671194/
https://www.ncbi.nlm.nih.gov/pubmed/36204899
http://dx.doi.org/10.4103/aam.aam_85_20
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