scholarly journals Monocyte to high-density lipoprotein ratio was associated with the severity of coronary artery disease: results from a large cohort study

2020 ◽  
Author(s):  
Haoyu Wu ◽  
Lijun Wang ◽  
Jianhua Huo ◽  
Hua Qiang ◽  
Chen Wang ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Operating Characteristic ◽  
Density Lipoprotein ◽  
Curve Analysis ◽  
Gensini Score ◽  
Roc Curve Analysis ◽  
Artery Disease ◽  
Acute Atherothrombosis

Abstract Background: Monocyte to high-density lipoprotein ratio (MHR) was a recently emerged lipid biomarker, might reflect the inflammation level and the lipid profile in a quantitative manner.We aimed to investigate the association of MHR with the severity of coronary artery disease (CAD), and the ability of MHR in predicting severe CAD and acute atherothrombosis events. Methods: A total of 3930 CAD patients and 1020 non-CAD patients presented consecutively to our hospital for coronary angiography. The CAD patients were classified into four groups according to the quartile of the MHR (≤0.28, N=1218; 0.28-0.39, N=1262; 0.39-0.53, N=1209; >0.53, N=1261). CAD severity was quantified according to the Gensini score. A receiver operating characteristic (ROC) curve analysis was also performed to predict severe CAD and acute coronary thrombotic events. Results: MHR was significantly higher in the CAD group than in the non-CAD group (0.45 ± 0.22 vs. 0.35 ± 0.17, p<0.001) and had a significant positive correlation with Gensini score. Compared with lower MHR value, a MHR in the fourth quartile was strongly associated with severe CAD and acute coronary thrombotic event after adjusting for baseline factors. Receiver-operating characteristic (ROC) curve analysis showed that combination of MHR and traditional risk predictors could better predict severe CAD especially acute coronary thrombosis events such as non-ST-elevation myocardial infarction (NSTEMI) and acute ST-segment elevation myocardial infarction (ASTEMI). Conclusions: MHR was positive associated with the prevalence and severity of CAD. Moreover, MHR may be a prognostic marker for acute atherothrombosis events.

scholarly journals Association between plasma big endothelin-1 level and the severity of coronary artery disease in patients with non-ST segment-elevated myocardial infarction

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Lyu ◽  
J Zhu ◽  
L Yu ◽  
Y Yang
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Independent Predictor ◽  
Curve Analysis ◽  
Syntax Score ◽  
Roc Curve Analysis ◽  
St Segment ◽  
Artery Disease

Abstract Background This study aimed to evaluate the association between plasma big endothelin-1 (ET-1) level and the severity of coronary artery disease assessed by the SYNTAX score (SS) in patient with non-ST segment-elevated myocardial infarction (NSTEMI). Methods A total of 766 patients with NSTEMI undergoing coronary angiography were recruited. Patients were divided into divided into three groups: low SS (SS ≤22), intermediate SS (23–32) and high SS group (SS &gt;32). Spearman correlation, smooth curve fitting, logistic regression and Receiver operating characteristic (ROC) curve analysis were performed to evaluated the association between plasma big ET-1 level and the SS. Results There was a significant correlation between the big ET-1 and the SS (r=0.378, p&lt;0.001). Smoothing curve indicated a positive correlation between plasma big ET-1 level and the SS, after adjustment for potential confounders. The ROC curve analysis showed that the area under the curve was 0.695 (0.661–0.727) and the optimal cutoff of plasma big ET-1 level were 0.35pmol/l, with a sensitivity of 68.9% and a specificity of 62.9%. Logistic regression showed that elevated big ET-1 was an independent predictor of intermediate-high SS in patients with NSTEMI, no matter entered as a continuous variable [OR (95% CI): 1.110 (1.053–1.170), p&lt;0.001] or as a categorical variable [OR (95% CI): 2.873 (2.016–4.094), p&lt;0.001]. The association between big ET-1 and intermediate-high SS was consistent across subgroups without significant interactions. Conclusion In patients presenting with NSTEMI, plasma big ET-1 level was significantly correlated with the SS. Elevated plasma big ET-1 level was an independent predictor for intermediate-high SS. FUNDunding Acknowledgement Type of funding sources: None. ROC of big ET-1 for high SYNTAX score

scholarly journals Serum Copper with Coronary Artery Disease in Male and its Relation with Lipid Profile

1970 ◽  
pp. 7-9
Author(s):  
Sifat Jubaira ◽  
Forhadul Haque Mollah ◽  
Tahrim Mehdi ◽  
M Iqbal Arslan
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Acute Myocardial Infarction ◽  
Coronary Artery ◽  
Lipid Profile ◽  
Density Lipoprotein ◽  
Serum Copper ◽  
Copper Level ◽  
Serum Copper Level ◽  
Artery Disease

The study was designed to explore serum copper as a risk factor for coronary artery disease (CAD). In this case-control study 30 healthy controls and 60 diagnosed cases of acute myocardial infarction (AMI) were enrolled. Serum copper concentration and serum lipid profile were measured in all study subjects. Serum copper level was significantly higher in AMI as compared to controls. The concentrations of serum TC, TG, LDL-C level were found to be significantly higher in cases as compared to controls. The concentration serum HDL-C was found to be significantly lower in cases as compared to controls. CAD leads to raised serum copper level and it has positive correlation with TC, TG and LDL-C but negative correlation with HDL-C in males.Keywords: Coronary artery disease; serum copper; acute myocardial infarction; total cholesterol; triglyceride; low density lipoprotein cholesterol. DOI: 10.3329/bjpp.v24i1.5730Bangladesh J Physiol Pharmacol 2008; 24(1&2) : 7-9

scholarly journals Study On The Application Value of Thromboelastic Graph in The Condition Assessment of Patients With Acute Myocardial Infarction

2021 ◽  
Author(s):  
Kaiyang Wang ◽  
Yunjie Teng ◽  
Tingting Wu ◽  
Yitong Ma ◽  
Xiang Xie
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Acute Myocardial Infarction ◽  
Coronary Artery ◽  
Condition Assessment ◽  
Clinical Treatment ◽  
Gensini Score ◽  
Coronary Artery Lesions ◽  
The Difference ◽  
Artery Disease

Abstract Background:To explore the application value of thromboelastic graph (TEG) in the assessment of patients with acute myocardial infarction (AMI).Results: 1.R time (min), K time (min) and LY30(%) in the STEMI group were lower than those in the NSTEMI group, and the differences were statistically significant (P<0.05). The Angle(°) and MA values in the STEMI group were higher than those in the NSTEMI group, and the difference between the two groups was statistically significant (P<0.05). 2.R time(min), K time(min) and LY30(%) gradually decreased with the increase of the number of coronary artery lesions, while Angle(°) and MA value(mm) gradually increased. 3. R time (min), K time (min) and LY30(%) gradually decreased with the aggravation of coronary artery lesions, while Angle(°) and MA value (mm) gradually increased. 4. R time (min), K time (min) and LY30(%) were negatively correlated with Gensini score (r=-0.456, -0.418, -0.483, P<0.001).Angle(°) and MA value(mm) were positively correlated with Gensini score (r=0.531, 0.569, P<0.001).Conclusion: Thromboelastic graph (TEG) can be used as an effective indicator for predicting the condition of patients with acute myocardial infarction (AMI), evaluating the severity of coronary artery disease, and guiding clinical treatment.

scholarly journals Prevalence and association of thyroid disorders with selected risk factors and severity of disease in patients confirmed of Coronary Artery Disease

2020 ◽  
Vol 19 (4) ◽  
pp. 678-684
Author(s):  
EM Samantha Bardara ◽  
Sagarika Ekanayake ◽  
Chandanie Wanigatunge ◽  
Aruna Kapuruge ◽  
GA Sarath Kumara
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Subclinical Hypothyroidism ◽  
Bypass Graft ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Gensini Score ◽  
Anthropometric Data ◽  
Artery Disease ◽  
Lipid Parameters

Objective: Subclinical hypothyroidism (SCH) has been identified as a risk for atherosclerosis and Coronary Artery Disease (CAD). The aim of this study was to determine the prevalence and association between hypothyroidism or subclinical hypothyroidism (SCH) and lipid parameters, anthropometric data and the severity of coronary artery disease (CAD) in patients awaiting Coronary Artery Bypass Graft Surgery (CABG) from a selected center. Method: A cross sectional analytical study was carried out amony patients awaiting CABG in a selected center. Thyroid profile (enzyme immunoassay method), lipoprotein (a) [Lp(a)], C- reactive protein (CRP) (immunoturbidimetric method) were determined and the Gensini score calculated. Lipid parameters and details of current medication were obtained from the medical records and anthropometric data were measured. Results: From a total of 102 patients 3% were on treatment for hypothyroidism and 15% had subclinical hypothyroidism. A significantly high (p= 0.04) percentage of SCH patients (75%) were dyslipidemic. There were no significant differences observed in lipid profiles and Lp(a) among SCH and euthyroid patients when the total sample or dyslipidemic sample was considered. However, a significantly high percentage (58%, p<0.05) of SCH patients on statins had a higher level of low density lipoprotein cholesterol (LDLc) compared to euthyroid dyslipidemic patients. A significant negative (p< 0.05) correlation was observed between thyroid stimulating hormone concentration and high density lipoprotein cholesterol (r= -0.67) in SCH group. No significant differences were observed in anthropometric data, CRP or Gensini score of SCH and euthyroid patients with CAD. Conclusion: The prevalence of dyslipidemia among SCH patients with CAD was significantly high. The patients suffering from SCH exhibited higher levels of LDLc compared to euthyroid patients from both the total and dyslipidemic groups. SCH patients under statin treatment displayed a higher LDLc suggesting a strong association between coronary artery disease and thyroid disease. Bangladesh Journal of Medical Science Vol.19(4) 2020 p.678-684

Relation Between Globulin, Fibrinogen, and Albumin With the Presence and Severity of Coronary Artery Disease

Angiology ◽  
2020 ◽  
pp. 000331972095998
Author(s):  
Bülent Deveci ◽  
Emine Gazi
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Fibrinogen Level ◽  
Pearson Correlation ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Close Relation ◽  
Male Gender ◽  
Gensini Score ◽  
Artery Disease

The albumin to globulin ratio (AGR) is used as a prognostic marker in acute ischemic cardiovascular events. We investigated whether serum AGR, fibrinogen, and fibrinogen to albumin ratio (FAR) are related to the presence and severity of coronary artery disease (CAD). Patients who underwent coronary angiography procedures were analyzed retrospectively. The severity of CAD was assessed by the Gensini score. The study population (3031 patients; 1071 females and 1960 males) was divided into 3 tertiles based on AGR values. Gensini score, lipid levels, diabetes mellitus (DM), hypertension (HT), age, and fibrinogen level were higher in the low AGR group. Pearson correlation analysis showed that AGR ( r = −0.068, P < .001) was negatively and fibrinogen ( r = 0.187, P < .001) was positively correlated with the Gensini score. Male gender, HT, smoking, DM, age, high triglyceride (TG) level, low-density lipoprotein cholesterol (LDL-C) >160 mg/dL, estimated glomerular filtration rate (eGFR) <60 mL/min, and fibrinogen level >3.5 g/L were independent predictors of CAD. Male gender, age, eGFR, DM, LDL-C, TG, and FAR had an independent positive relation to the Gensini score. In conclusion, similar to traditional risk factors, plasma fibrinogen and albumin levels showed a close relation with the presence and severity of CAD.

scholarly journals Relationship between the Severity of Coronary Artery Disease and Cardiovascular Risk Factors in Acute Coronary Syndrome: Based on Tehran Heart Center’s Data Registry

2021 ◽  
Author(s):  
Negar Omidi ◽  
Saeed Sadeghian ◽  
Mojtaba Salarifar ◽  
Arash Jalali ◽  
Seyed Hesameddin Abbasi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Acute Coronary Syndrome ◽  
Coronary Artery ◽  
Family History ◽  
Gensini Score ◽  
Coronary Syndrome ◽  
Artery Disease

Background: Acute coronary syndrome (ACS) is one of the main causes of mortality worldwide. We sought to evaluate the correlation between the severity of coronary artery disease (CAD) and conventional coronary artery risk factors in a large cohort of patients with ACS. Methods: This study included all patients admitted to the coronary care unit with a diagnosis of ACS between 2003 and 2017. The patients were divided into 2 groups: 1) unstable angina and 2) myocardial infarction. The aims of this study were to evaluate the effects of the risk factors and extension of coronary artery stenosis in patients with ACS according to the Gensini score. Results: Of a total 40 319 patients who presented with ACS, 18 862 patients (mean age =60.4±11.14 y, male: 67.2%) underwent conventional coronary angiography and met our criteria to enter the final analysis. The median of the Gensini score was 50 (25–88) in the study population. The multivariable analysis showed that age, sex, diabetes mellitus, hypertension, dyslipidemia, family history, cigarette smoking, opium consumption, and myocardial infarction increased the risk of positive Gensini scores. All the aforementioned risk factors, except cigarette smoking and opium consumption, increased the severity of stenosis in those with positive Gensini scores. The strongest relationship was seen vis-à-vis myocardial infarction, sex, and diabetes mellitus. Conclusion: Our findings suggest that age, sex, diabetes mellitus, dyslipidemia, hypertension, family history, and myocardial infarction have significant effects on the severity of CAD. The obesity paradox in relation to CAD should be taken into consideration and needs further investigation in patients with ACS.

ROC Curve Analysis: An Example Showing the Relationships Among Serum Lipid and Apolipoprotein Concentrations in Identifying Patients with Coronary Artery Disease

1992 ◽  
Vol 38 (8) ◽  
pp. 1425-1428 ◽  
Author(s):  
M H Zweig ◽  
S K Broste ◽  
R A Reinhart
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Roc Curve ◽  
Serum Lipid ◽  
Fundamental Property ◽  
Roc Curves ◽  
Curve Analysis ◽  
Roc Curve Analysis ◽  
Clinical Sensitivity ◽  
Artery Disease

Abstract Clinical accuracy, defined as the ability to discriminate between states of health, is the fundamental property of any diagnostic test or system. It is readily expressed as clinical sensitivity and specificity, and elegantly represented by the receiver operating characteristic (ROC) curve. To demonstrate the use of ROC curves, we reexamine a study of the ability of serum lipid and apolipoprotein measures to discriminate among degrees of coronary artery disease in patients undergoing coronary angiography. ROC curve analysis reveals that none of these indexes is highly accurate, but demonstrates a modest increase in the accuracy of apolipoprotein over lipid indexes.

scholarly journals Relationship Between D-Dimer / Creatinine Ratio and Coronary Artery Disease Severity in Patients with ST-Segment Elevation Myocardial Infarction

2021 ◽  
Author(s):  
Yipin Zhao ◽  
Huawei Wang ◽  
Zebin Lin ◽  
Yingying Ji ◽  
Qingwei Chen
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Coronary Artery ◽  
Independent Predictor ◽  
Gensini Score ◽  
Multivariate Logistic Regression ◽  
Artery Disease ◽  
D Dimer

Backgroundː Previous studies have shown that both serum creatinine and D-dimer levels were associated with atherosclerotic coronary artery disease (CAD). We aimed to determine whether DCR is associated with coronary Gensini score in patients with ST-elevation myocardial infarction (STEMI). Methodsː 337 STEMI patients with complete D-dimer and creatinine and other necessary information were included in the analysis. According to the values of the DCR, patients were divided into the lower DCR group (DCR &le;&thinsp;1.42, n = 173) and the higher DCR group (DFR &gt; 1.42, n = 174), and the differences between the two groups were compared. Multivariate linear and multivariate logistic regression analyses were performed to determine independent predictors of Gensini score. Resultsː High DCR group had higher Gensini score compared with low DCR group (P &lt; 0.05). DCR was positively correlated with Gensini score (r=0.493, P &lt; 0.001). Multiple linear regression analysis showed that Previous MI (r=11.312, P=0.035) and DCR (r=5.129, P&lt;0.001) were independent risk factors associated with Gensini score. Multivariate logistic regression analysis showed that, compared to the group 1, DCR is independent risk factor for Group 2, Group 3, Group 4 (P &lt;0.001). DCR is positively correlated with coronary Gensini score in STEMI patients and can be used as an independent predictor of higher Gensini score. Conclusionsː As a new and useful clinical marker, DCR is positively correlated with coronary Gensini score in STEMI patients and can be used as an independent predictor of higher Gensini score.

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