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 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 >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<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<0.001] or as a categorical variable [OR (95% CI): 2.873 (2.016–4.094), p<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 The overexpression of lncRNA H19 as a diagnostic marker for coronary artery disease

2019 ◽  
Vol 65 (2) ◽  
pp. 110-117 ◽  
Author(s):  
Yuan Yao ◽  
Gang Xiong ◽  
Xuejun Jiang ◽  
Tao Song
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Diagnostic Marker ◽  
Diagnostic Value ◽  
Curve Analysis ◽  
Expression Level ◽  
Healthy Individuals ◽  
Roc Curve Analysis ◽  
Artery Disease ◽  
Tgf Β1

SUMMARY OBJECTIVE: Our study aimed to investigate the diagnostic value of lncRNA H19 for coronary artery disease (CAD) and to explore its possible mechanisms. Methods: A total of 30 CAD patients and 30 healthy individuals, as well as patients with different cardiovascular diseases, were included in this study. Blood was drawn from each participant to prepare serum samples, and the expression of lncRNA H19 was detected using qRT-PCR. The ROC curve analysis was used to analyze the diagnostic value of H19 for CAD. The effects of patients' basic information and lifestyle on H19 expression were analyzed. The plasma level of TGF-β1 was measured by ELISA. The H19 overexpression in the human primary coronary artery endothelial cell (HCAEC) line was constructed, and the effects of H19 overexpression on the TGF-β1 expression were analyzed using Western blot. The results of H19 expression were specifically upregulated in patients with CAD but not in healthy individuals and patients with other types of cardiovascular diseases. The ROC curve analysis showed that the H19 expression level could be used to predict CAD accurately. Gender, age, and patients' lifestyle had no significant effects on H19 expression, but H19 expression was higher in patients with a longer course of disease in comparison with the controls. H19 expression was positively correlated with the serum level of TGF-β1, and H19 overexpression significantly increased TGF-β1 protein level in HCAEC. Conclusion: H19 overexpression participates in the pathogenesis of CAD by increasing the expression level of TGF-β1, and H19 expression level may serve as a diagnostic marker for CAD.

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 Development and Validation of Tongue Diagnostic Parameters-Based Diagnostic Signatures in Coronary Artery Disease Patients with Clopidogrel Resistance after Percutaneous Coronary Intervention

2020 ◽  
Author(s):  
Bo Liang ◽  
Cai-Hong Liang ◽  
Jia Lu ◽  
Ning Gu
Keyword(s):  
Coronary Artery Disease ◽  
Percutaneous Coronary Intervention ◽  
Coronary Artery ◽  
Roc Curve ◽  
Coronary Intervention ◽  
Roc Curve Analysis ◽  
Clopidogrel Resistance ◽  
Diagnostic Parameters ◽  
Percutaneous Coronary ◽  
Artery Disease

Abstract Background: Credible diagnostic stratification remains a challenge for coronary artery disease (CAD) patients with clopidogrel resistance (CR) after percutaneous coronary intervention (PCI). Tongue Diagnostic parameters (TDP)-based diagnostic signatures might predict the diagnostic. Methods: Clinical and TDP data were obtained from CAD patients with CR after PCI patients and then analyzed. TDP-based diagnostic signatures were developed and validated. Diagnostic prediction was assessed using a receiver operating characteristic (ROC) curve. Results: A total of 101 patients were consecutively identified. Then, TDP were identified as significantly associated with CR diagnostic and were combined with risk factors to develop a model. ROC curve analysis showed that TDP-based diagnostic signatures performed well in diagnosing CR with an area under the ROC curve value of 0.766. Conclusions: This study identified and validated a novel TDP-based diagnostic signatures to reliably distinguish CR diagnosis in CAD patients undergone PCI. Further larger, multicenter prospective studies are desired to validate this model.

Non-fasting samples for estimation of serum lipid levels in patients with coronary artery disease

2014 ◽  
Vol 3 (3) ◽  
pp. 206
Author(s):  
P Srilakshmi ◽  
MF Gopinath ◽  
MVijaya Bhaskar ◽  
K Rambabu ◽  
GSrinivasa Reddy
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Serum Lipid ◽  
Lipid Levels ◽  
Serum Lipid Levels ◽  
Artery Disease

Comparison of the GRACE and TIMI Risk Scores in Predicting the Angiographic Severity of Coronary Artery Disease in Patients with non STelevation Myocardial Infarction

2017 ◽  
Vol 10 (1) ◽  
pp. 45-51
Author(s):  
Sharadindu Shekhar Roy ◽  
STM Abu Azam ◽  
Md Khalequzzaman ◽  
Mohammad Ullah ◽  
Samir Kumar Kundu ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Roc Curve ◽  
Risk Scores ◽  
Cross Sectional ◽  
Timi Score ◽  
Artery Disease ◽  
Vessel Score ◽  
Grace Score

Background: The superiority of the GRACE and TIMI risk scores in predicting the angiographic severity of coronary artery disease in patients with non ST-elevation myocardial infarction (NSTEMI) has not yet been established. This study was done to compare the GRACE and TIMI risk scores in predicting the angiographic severity of coronary artery disease in this group of patients.Method: The cross sectional study done in the Department of Cardiology, NICVD, Dhaka. The patients admitted with NSTEMI were evaluated to calculate the GRACE and TIMI risk score from April, 2015 to April, 2016.Coronary angiogram was done during index hospitalization and the severity of the coronary artery disease was assessed by vessel score and Gensini score.Results: Of 115 patients assessed, a positive correlation of the vessel score and Gensini score was observed with both the GRACE and TIMI risk scores (p=<0.001) and the GRACE score (r=0.59) correlated better than the TIMI score (r=0.52). The GRACE score presented area under the Receiver Operating Characteristic (ROC) curve of 0.844(95% CI = 0.774 – 0.914) significantly superior to the area under the ROC curve of 0.752(95% CI =0.658– 0.846) of the TIMI score for the difference between the two scores.Conclusion: Both the GRACE and TIMI scores had good predictive value in predicting the severity of coronary artery disease in the patients with NSTEMI but when both the scores were compared, the GRACE score was found to be superior and correlated better with the severity of coronary artery disease.Cardiovasc. j. 2017; 10(1): 45-51

Role of 5-HT2A Receptor Gene T102C Polymorphism in Coronary Artery Disease and Serum Lipid Level

2003 ◽  
Vol 33 (4) ◽  
pp. 269
Author(s):  
Jin Ho Choi ◽  
Shu Ying Zhang ◽  
Young Seok Cho ◽  
Kyoung Kook Whang ◽  
Jun Hee Lee ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Serum Lipid ◽  
Lipid Level ◽  
Receptor Gene ◽  
Serum Lipid Level ◽  
T102c Polymorphism ◽  
Artery Disease
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