Diagnostic Value of Duke Treadmill Score in Predicting Coronary Lesions Severity in Patients with Suspected Stable Coronary Artery Diseases

Mayasari, Ni Made Elva; Arso, Irsad Andi; Maharani, Erika

doi:10.30701/ijc.v37i2.565

Cited by 2 publications

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“…In addition to ease of use, safety, relatively low cost and relatively fast examination, TMT is a filter towards more expensive and invasive examination. 1 However, the sensitivity of the stress test with ECG using the ST segment depression criteria was not very good, only 45-50% . 2 doi: 10.30701/ijc.v40i2.921…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Value Of Qtc Dispersion And And Qt Dispersion Ratio Changes On Stress Test In Detecting Significance Of Coroner Lesion In Stable Angina Pectoris Patients

yeantesa¹,

Rasyid²,

Syafri³

et al. 2019

IJC

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Background : Treadmill exercise test remains an important method and often used in the initial evaluation of patients with chest pain and can be a filter for more expensive invasive diagnostic. Increased QT dispersion (QTD) occurs because of the heterogeneity of ventricular repolarization because transient ischaemia during a treadmill stress test can be a marker of coronary artery disease (CAD) and can improve the accuracy of exercise tests to diagnose CAD, but this parameter is still controversial. Method : This is an analytic observational approach with a cross sectional study. Data was taken retrospectively at the Heart Center Installation at RSUP Dr. M. Djamil Padang, from March to April 2019, stable angina pectoris patient with a positive treadmill stress test who underwent coronary angiography as the subject. Bivariate analysis was performed on changes in QTcD (∆QTcD) and QTdR (∆QTdR) variables on the significance of coronary lesions by the chi-square method, after which a diagnostic test was based on receiver operating curve (ROC) analysis. Study Result : There were 122 subjects and found that older age, male and smoking were more common in groups with significant coronary lesions. Cut off point for ∆QTcD is ≥13 ms with a sensitivity of 87,1% and specificity 85,2% and AUC 95,1%, while ∆QTdR ≥5.5% with sensitivity 85,7% and specificity 81,9% and AUC 90,5% are related to significancy of coronary lesion. Obtained subjects with significant lesions generally had a value of ∆QTcD ≥ 13 ms (p <0.001) and ∆QTdR ≥ 5.5% (p <0.001). Conclusion : The use of ∆QTdR dan ∆QTdR parameters as ECG variables, which are easily obtained in evaluating stress tests, can improve the diagnostic accuracy of exercise tests. In addition, evaluation of ∆QTdR dan ∆QTdR can provide information about the incidence of CAD. Keywords : ∆QTcD, ∆QTdR, Treadmill Exercise Test, Coronary Lession Significancy

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Section: Introductionmentioning

confidence: 99%

Diagnostic Value Of Qtc Dispersion And And Qt Dispersion Ratio Changes On Stress Test In Detecting Significance Of Coroner Lesion In Stable Angina Pectoris Patients

yeantesa¹,

Rasyid²,

Syafri³

et al. 2019

IJC

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“…(Sultradewi Kesuma et al, 2019) Melalui analisis data eksploratif yang dilakukan dengan menggunakan bahasa pemrograman Python, diharapkan pengamatan ini dapat memberikan pengertian yang lebih mendalam mengenai hubungan antara merokok dan risiko terkena penyakit stroke. (Mayasari et al, 2017) Hasil penelitian ini dapat berkontribusi dalam upaya pencegahan, pengelolaan, dan pemahaman yang lebih baik tentang faktor-faktor yang berkontribusi terhadap stroke. (Jumayanti et al, 2020)…”

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Implementasi Bahasa Python Dalam Menganalisis Pengaruh Rokok Terhadap Risiko Pasien Terkena Penyakit Stroke

Kairos Abinaya Susanto,

Darrien Rafael Wijaya,

Matthew Owen

et al. 2023

jupti

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This study discusses the implementation of Python programming language in analyzing the influence of smoking habits on the risk of stroke in patients. The study utilizes the "Stroke Prediction Dataset" from World Health Organization (WHO) as the research data source. By employing exploratory data analysis methods, the study can model statistics, visualize data, and test hypotheses to gather supporting variables in analyzing the impact of smoking on the risk of stroke. The analysis results indicate that smoking significantly contributes to an increased risk of stroke. The relationship between smoking status and stroke risk is also influenced by other factors such as age, gender, and other underlying health conditions like hypertension and heart disease.

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Diagnostic Value of Duke Treadmill Score in Predicting Coronary Lesions Severity in Patients with Suspected Stable Coronary Artery Diseases

Cited by 2 publications

References 0 publications

Diagnostic Value Of Qtc Dispersion And And Qt Dispersion Ratio Changes On Stress Test In Detecting Significance Of Coroner Lesion In Stable Angina Pectoris Patients

Diagnostic Value Of Qtc Dispersion And And Qt Dispersion Ratio Changes On Stress Test In Detecting Significance Of Coroner Lesion In Stable Angina Pectoris Patients

Implementasi Bahasa Python Dalam Menganalisis Pengaruh Rokok Terhadap Risiko Pasien Terkena Penyakit Stroke

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