scholarly journals The Potential of Heart Risk Score to Detect the Existence and Severity of Coronary Artery Disease According to Syntax Score at the Emergency Department

2021 ◽  
Author(s):  
Hamed Bazrafshan drissi ◽  
Fatemeh Dehghani ◽  
Abdolali Zolghadr ◽  
Peyman Izadpanah ◽  
iman Razeghian-Jahromi ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Emergency Department ◽  
Chest Pain ◽  
Coronary Artery ◽  
Risk Score ◽  
Emergency Departments ◽  
Syntax Score ◽  
Coronary Syndrome ◽  
The Mean ◽  
Artery Disease

Abstract Background: Patients presenting with chest pain (CP) at the emergency departments are challenging cases for the physicians to make valid decisions with regard to acute coronary syndrome, which needs urgent medical intervention while the majority of the admitted patients are free from serious cardiac problems. The present study was done to investigate the potential of Heart Risk Score in detecting the existence and severity of coronary artery disease in CP patients based on Syntax score.Methods: Among CP patients who were admitted at the emergency department, 100 participants were selected. Heart Risk Score was calculated for each participant on admission. Two independent cardiologists also calculated the Syntax score after angiography was done for each patient. Statistical analysis was performed to assess the correlation between Heart Risk Score and Syntax score.Results: The median age of participants was 58.42±12.42 with the majority (65%) being male. The mean Heart Risk Score of the patients was 5.76±1.56 (min=3, max=9) and the mean Syntax score was 14.82±11.42(min=0, max=44.5). Pearson correlation coefficient was 0.493 (P<0.001) between Heart Risk Score and Syntax score which was statistically significant (P<0.001). According to our findings a Heart Risk Score of more than 6 has a 52% sensitivity and a 74.7% specificity to detect extensive coronary artery involvement (Syntax score>22).Conclusion: We found that there is a positive and significant correlation between Heart Risk Score and Syntax score which underlines the importance of using Heart Risk Score in emergency departments to reduce unnecessary invasive interventions in patients presenting with chest pain.

Novel Emergency Department Risk Score Discriminates Acute Coronary Syndrome Among Chest Pain Patients With Known Coronary Artery Disease

2016 ◽  
Vol 15 (4) ◽  
pp. 138-144 ◽  
Author(s):  
Matthew T. Crim ◽  
Scott A. Berkowitz ◽  
Mustapha Saheed ◽  
Jason Miller ◽  
Amy Deutschendorf ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Emergency Department ◽  
Acute Coronary Syndrome ◽  
Chest Pain ◽  
Coronary Artery ◽  
Risk Score ◽  
Coronary Syndrome ◽  
Artery Disease ◽  
Pain Patients

scholarly journals Association of GRACE Risk Score with Coronary Artery Disease Complexity in Patients with Acute Coronary Syndrome

2021 ◽  
Vol 10 (10) ◽  
pp. 2210
Author(s):  
Georgios Sofidis ◽  
Nikolaos Otountzidis ◽  
Nikolaos Stalikas ◽  
Efstratios Karagiannidis ◽  
Andreas S. Papazoglou ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Acute Coronary Syndrome ◽  
Coronary Artery ◽  
Syntax Score ◽  
Heart Team ◽  
Characteristic Analysis ◽  
Positive Correlation ◽  
Coronary Syndrome ◽  
Artery Disease ◽  
Grace Score

The GRACE score constitutes a useful tool for risk stratification in patients with acute coronary syndrome (ACS), while the SYNTAX score determines the complexity of coronary artery disease (CAD). This study sought to correlate these scores and assess the accuracy of the GRACE score in predicting the extent of CAD. A total of 539 patients with ACS undergoing coronary angiography were included in this analysis. The patients were classified into those with a SYNTAX score < 33 and a SYNTAX score ≥ 33. Spearman’s correlation and receiver operator characteristic analysis were conducted to investigate the role of the GRACE score as a predictor of the SYNTAX score. There was a significantly positive correlation between the SYNTAX and the GRACE scores (r = 0.32, p < 0.001). The GRACE score predicted severe CAD (SYNTAX ≥ 33) moderately well (the area under the curve was 0.595 (0.522–0.667)). A GRACE score of 126 was documented as the optimal cut-off for the prediction of a SYNTAX score ≥ 33 (sensitivity = 53.5% and specificity = 66%). Therefore, our study reports a significantly positive correlation between the GRACE and the SYNTAX score in patients with ACS. Notably, NSTEMI patients with a high-risk coronary anatomy have higher calculated GRACE scores. A multidisciplinary approach by a heart team could possibly alter the therapeutic approach and management in patients presenting with ACS and a high calculated GRACE score.

scholarly journals Difference in the Mortality Between Weekend and Non-Weekend Coronary Artery Disease Admissions

2017 ◽  
Vol 02 (01) ◽  
pp. 036-041
Author(s):  
M. Sandeep ◽  
K. Satish
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Risk Score ◽  
Wide Spectrum ◽  
P Value ◽  
Coronary Artery Diseases ◽  
Coronary Syndrome ◽  
Artery Disease

AbstractBackground: Acute coronary syndrome requires urgent diagnostic and therapeutic procedures, which may not be uniformly available throughout the week. So, we sought to examine the effects of admission on clinical outcomes in patients with wide spectrum coronary artery diseases.Methods: A retrospective analysis of ICCU Inpatient sample database of 17 months from 2015 to 2016 used to compare differences in in-hospital mortality between patients admitted on a non-weekday versus weekend for wide spectrum ACS which include STEMI, NSTEMI and unstable angina and patients with cardiogenic shock. Out of these 75% had higher TIMI risk score (5-7).Results: Total 2700 patients with ACS were included in the present study with wide spectrum coronary artery diseases. Out of that 20 % (n=541) were admitted in weekends and 79.9% (n=2159) were admitted in non-weekends. Total 804 females admitted on non-weekend had a mean age of 61.05±12 years and 162 females admitted on weekend had mean age 58.5±13.3 years (p value=0.025). Out of 2159 admitted on non-weekend, 1355 were males with mean age of 57.65±15.55 years and 379 were males admitted on weekend out of 541 patients with mean age of 56.85±13.1 years (p value =0.314). In-hospital mortality rate of these patients admitted on non-weekends was 9.4% (n=204) and those admitted on weekends was 5.9% (n=32) with statistically significant difference (95% CI; p= 0.003). The mortality rate of ACS without STEMI in non-weekend group was 8.6% (n=170) which was statistically significant (p = 0.006) with mortality of weekend group 5.3% (n=26).Conclusion: Our study shows that there is no added mortality in patients with coronary artery disease on weekend days compared with non-weekend days. As the patients admitted during non-weekend were elder and sicker than the weekend admissions (having the high risk score), the in-hospital mortality is higher on non-weekends. Efforts to improve health care system should ensure comparable outcomes for patients irrespective of time of hospital admission.

P6435A diagnostic prediction model of coronary artery disease in patient with chest pain using machine learning

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S W Rha ◽  
B G Choi ◽  
S Y Choi ◽  
J K Byun ◽  
J A Cha ◽  
...  
Keyword(s):  
Machine Learning ◽  
Coronary Artery Disease ◽  
Chest Pain ◽  
Coronary Artery ◽  
Prediction Model ◽  
Roc Analysis ◽  
Learning Model ◽  
Coronary Syndrome ◽  
Artery Disease ◽  
Registry Database

Abstract Background Chest pain is a major symptom of coronary artery disease (CAD), which can lead to acute coronary syndrome and sudden cardiac death. Accurate diagnosis of CAD in patients who experience chest pain is crucial to provide appropriate treatment and optimize clinical outcomes. Objective This study was to develop a machine learning model which can predict and diagnose CAD in patients complaining of chest pain based on a large real-world prospective registry database and computing power. Method A total of 10,177 subjects with typical or atypical chest pain who underwent a coronary angiography at the cardiovascular center of our University Hospital, South Korea between November 2004 and May 2014 were evaluated in this study. The generation of the diagnostic prediction model for CAD used the classification application by technical support of MATLAB R2017a. The performance evaluation of the learning model generated by machine learning was evaluated by the area under the curve (AUC) of the receiver-operating characteristic (ROC) analysis. Results The diagnostic prediction model of CAD had been generated according to the user's accessibility such as the general public or clinician (Model 1–4). The performance of the models has ranged from 0.78 to 0.96 by the AUC of ROC analysis. The prediction accuracy of the models ranged from 70.4% to 88.9%. The performance of the diagnostic prediction model of CAD by machine learning improved as the input information increased. Figure 1. Study Flow Chart Conclusion A diagnostic prediction model of CAD using the machine learning method and the registry database was developed. Further studies are needed to verify our results.

scholarly journals Association of Thrombolysis in Myocardial Infarction (TIMI) Risk Score with Angiographic Severity of Coronary Artery Disease In Patients with Non-ST Elevation Acute Coronary Syndrome

2019 ◽  
Vol 15 (2) ◽  
pp. 68-73
Author(s):  
ABK Bashiruddin ◽  
Mohammad Ibrahim Chowdhury ◽  
Biplob Bhattacharjee ◽  
Abul Hossen Shahin ◽  
Syed Ali Ahsan ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Acute Coronary Syndrome ◽  
Coronary Artery ◽  
High Risk ◽  
Risk Score ◽  
Gensini Score ◽  
Coronary Syndrome ◽  
Timi Score ◽  
Artery Disease ◽  
Timi Risk Score

Background: Clinical guidelines recommend that optimal management of acute coronary syndrome (ACS) should include patient risk stratification. Predicting the anatomical extension of coronary artery disease (CAD) is also potentially useful for clinical decision. Objective: The objective of our study was to determine whether the TIMI risk score correlates with the angiographic extent and severity of CAD in patients with NSTE- ACS. Materials and Methods: This was a cross-sectional observational study carried out in the Department of Cardiology, Chattogram Medical College Hospital (CMCH) from September 2017 to May 2018. A total of 200 patients diagnosed with NSTE- Acute Coronary Syndrome were included as sample by purposive sampling method. TIMI risk score for each patient was calculated and the patients were stratified into 3 groups according to the TIMI risk score: low risk (0-2); intermediate risk (3-4); high risk (5-7). The severity of the CAD was assessed by Vessel score and Gensini score. Result: The mean ± SD of the age of study population was 53.7 ±10.8 years (range 37–77) and 142 (71%) were male. Regarding cardiovascular risk factors, 137 (68.5%) patients had diabetes mellitus, 83 (41.5%) had dyslipidaemia, 155 (77.5%) had hypertension, 136 (68%) were current smoker and 70 (35%) had a family history of CAD. The Gensini score was higher in patients at high risk TIMI group (p<0.001). Moreover, there was a signiûcant positive correlation between the TIMI and Gensini score (r=0.446,p<0.001). TIMI score can predict significant CAD moderately well (area under the curve 0.661, p=0.001). Patients with TIMI score > 4 were more likely to have significant three vessel CAD (65.9%) versus those with TIMI risk score 3-4 (17.9%) and TIMI risk score < 3 (2%) (p< 0.001). Conclusion: Study showed the TIMI score is significantly correlated with the extent of CAD as assessed by the Gensini score. It is accurate for predicting severe CAD among NSTE-ACS patients. University Heart Journal Vol. 15, No. 2, Jul 2019; 68-73

scholarly journals Chest Pain in Emergency Department Patients: If the Pain is Relieved by Nitroglycerin, is it More Likely to be Cardiac Chest Pain?

CJEM ◽  
2006 ◽  
Vol 8 (03) ◽  
pp. 164-169 ◽  
Author(s):  
Robert Steele ◽  
Timothy McNaughton ◽  
Melissa McConahy ◽  
John Lam
Keyword(s):  
Coronary Artery Disease ◽  
Emergency Department ◽  
Chest Pain ◽  
Coronary Artery ◽  
Diagnostic Test ◽  
Tertiary Care ◽  
Positive Likelihood Ratio ◽  
Care Hospital ◽  
Artery Disease

ABSTRACT Introduction: It is often believed that chest pain relieved by nitroglycerin is indicative of coronary artery disease origin. Objective: To determine if relief of chest pain with nitroglycerin can be used as a diagnostic test to help differentiate cardiac chest pain and non-cardiac chest pain. Design: Prospective observational cohort study with a 4-week follow-up of patients enrolled. Setting: Academic tertiary care hospital, with 60 000 visits/year. Inclusion criteria: Adult patients presenting to the emergency department with active chest pain who received nitroglycerin and were admitted for chest pain. Exclusion criteria: Patients with acute myocardial infarction diagnosed after obtaining an ECG, patients whose chest pain could not be quantified, those for whom no cardiac work-up was done, or those who received emergent cardiac catheterization. Results: 270 patients were enrolled. Nitroglycerin relieved chest pain in 66% of the subjects. The diagnostic sensitivity of nitroglycerin to determine cardiac chest pain was 72% (64%–80%), and the specificity was 37% (34%–41%). The positive likelihood ratio for having coronary artery disease if nitroglycerin relieved chest pain was 1.1 (0.96–1.34). Telephone follow-up at 4 weeks was performed, with a 95% follow-up rate. Conclusions: Relief of chest pain with nitroglycerin is not a reliable diagnostic test and does not distinguish between cardiac and non-cardiac chest pain.

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