Predictive Value of Endocan Based on TIMI Risk Score on Major Adverse Cardiovascular Events After Acute Coronary Syndrome

Angiology ◽  
2018 ◽  
Vol 70 (10) ◽  
pp. 952-959 ◽  
Author(s):  
Mojtaba Ziaee ◽  
Sina Mashayekhi ◽  
Samad Ghaffari ◽  
Javad Mahmoudi ◽  
Parvin Sarbakhsh ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Risk Score ◽  
Troponin I ◽  
Multivariate Logistic Regression Analysis ◽  
Major Adverse Cardiovascular Events ◽  
Hospital Death ◽  
Coronary Syndrome ◽  
Creatine Kinase Mb ◽  
Timi Risk Score

We assessed the prognostic value of serum levels of endocan in patients with the acute coronary syndrome (ACS) through its correlation with the Thrombolysis in Myocardial Infarction (TIMI) risk score and compared the possible association with clinical outcomes. In this prospective cross-sectional study, we enrolled 320 patients with documented ST-segment elevation myocardial infarction (STEMI), non-STEMI (NSTEMI), or unstable angina (UA) who underwent diagnostic coronary angiography. Endocan was measured soon after admission in the emergency department. In-hospital death, heart failure, and recurrent infarction were considered major adverse cardiac events (MACEs). There was a significant positive correlation between endocan level and TIMI risk score and MACE. The optimal cutoff values of endocan to predict clinical end points were 3.45 ng/mL in patients with STEMI and 2.85 ng/mL in patients with UA/NSTEMI. Multivariate logistic regression analysis indicated that endocan independently correlated with MACE. Moreover, cardiac troponin I, creatine kinase-MB, and circulating endocan were found to be independently associated with MACE in patients with ACS. In conclusion, a high endocan level on hospital admission is an independent predictor of worse cardiovascular outcomes and higher TIMI risk score in patients with ACS.

The Study of Serum Calcium to Magnesium Ratio in Patients with Acute Coronary Syndrome in a Tertiary Hospital, Hubli, Karnataka

2021 ◽  
Vol 8 (41) ◽  
pp. 3553-3558
Author(s):  
Uday Subhash Bande ◽  
Kalinga Bommanakatte Eranaik ◽  
Manjunath Shivalingappa Hiremani ◽  
Basawantrao Kailash Patil ◽  
Sushma Shankaragouda Biradar
Keyword(s):  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Roc Analysis ◽  
St Elevation Myocardial Infarction ◽  
P Value ◽  
Operating Characteristics ◽  
Coronary Syndrome ◽  
Function Tests ◽  
Creatine Kinase Mb ◽  
St Elevation

BACKGROUND Cardiovascular diseases are one of the leading causes of morbidity and mortality worldwide. High Ca levels and low Mg levels are associated with increased cardiovascular risk in the general population.1 The balance between Ca and Mg seems to play an important role in homeostasis since Mg is considered as physiologic antagonist of Ca.2 Hence Ca/Mg ratio was considered to study its association with acute coronary syndrome (ACS). METHODS This is a case control study conducted in Karnataka Institute of Medical Sciences, Hubli over a period of 2 years, February 2019 to December 2020. 200 cases and 150 controls were included in the study. The biochemical measurements including complete blood count (CBC), cardiac biomarkers, liver function tests, renal function tests (RFT), serum electrolytes and lipid profile were measured using standard laboratory methods. Student ‘t’ test was used to compare the data. Optimum cut-offs for diagnosis of acute myocardial infarction was calculated using receiver operating characteristics (ROC) analysis. The association among markers was established by calculating Pearson’s correlation. RESULTS Serum Ca/Mg ratio was significantly higher (p value < 0.001) in ACS when compared to control groups. It was also found that Ca/Mg ratio was significantly lower (p value < 0.001) in non-ST elevation myocardial infarction (NSTEMI) when compared to STEMI group. Serum Mg was significantly lower (p value < 0.001) in ACS group when compared to control group. Significant correlation (p value < 0.05) was found between serum Ca/Mg ratio and cardiac markers (CKMB, Troponin-I). ROC analysis of Ca/Mg (4.19) ratios showed optimum cut-offs in diagnosis of AMI. CONCLUSIONS Serum Ca/Mg could be useful adjuvant marker in diagnosis of AMI. The ratio is higher in ST-segment elevation myocardial infarction when compared to non-STsegment myocardial infarction, which could be due to greater decrease in Mg levels when compared Ca in ACS. KEYWORDS ST Elevation Myocardial Infarction (STEMI), Non ST Elevation Myocardial Infarction (NSTEMI), Calcium (Ca), Magnesium (Mg), Acute Coronary Syndrome (ACS), Creatine Kinase-MB (CK-MB).

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

ALGORITHM TO STRATIFY THE RISK OF MYOCARDIAL INFARCTION IN PATIENTS WITH ACUTE CORONARY SYNDROME AT PRIMARY EXAMINATION

2020 ◽  
Vol 65 (6) ◽  
pp. 394-400
Author(s):  
A. S. Pushkin ◽  
D. Shulkin ◽  
L. V. Borisova ◽  
T. A. Akhmedov ◽  
S. A. Rukavishnikova
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Acute Coronary Syndrome ◽  
Troponin I ◽  
Final Diagnosis ◽  
Blood Analysis ◽  
Digital Data ◽  
Control Group ◽  
Laboratory Diagnostics ◽  
Coronary Syndrome

The episode of acute coronary syndrome is most often preceded by the development of systemic and local inflammation, which plays a significant role in the pathogenesis of the disease. General clinical blood analysis, directly or indirectly reflecting systemic pathological processes in the patient’s body based on quantitative and morphological assessment of blood composition, is one of the most affordable methods of laboratory diagnostics in modern public health. Taking into account the growing number of digital data obtained by diagnosticians from analytical systems, there is a growing potential for the use of machine learning methods to increase the effectiveness of provided diagnostic information in the interests of the patient. The aim of this study was to create an algorithm for stratifying the risk of myocardial infarction based on the methods of machine learning in patients with acute coronary syndrome at primary examination. A prospective pilot study was conducted. In total 307 patients with acute coronary syndrome (169 men and 138 women) were examined. The average age of patients was 68.6 ± 12.5 years. Retrospectively, the patients were divided into two groups: the main group - patients with the final diagnosis “Myocardial infarction” and the control group with the diagnosis “Unstable angina pectoris”. All patients at hospitalization at the primary laboratory examination along with the study of the concentration of cardiac troponin I by a highly sensitive method were examined by a general clinical blood analysis on an automatic hematological 5-diff analyzer. As a result of the application of the ensemble method as a method of machine learning and artificial neural networks as 6 independent models of the ensemble it was possible to achieve the area under the ROC curve = 0.77 on the test set when assessing the quality of patient stratification. Taking into account the volume of the training sample in 214 patients and the results of similar studies, the achieved stratification quality can be considered acceptable and promising for further accumulation of the database with the purpose of additional training of the developed algorithm and improvement of the disease prognosis accuracy characteristics.

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