scholarly journals Evaluation of the Predictive Value of Left Anterior Fascicular Block on Determination of Left Main and/or Proximal Left Anterior Descending Coronary Artery Disease in Patients with Stable Angina: A Propensity Score Matching Analysis

2021 ◽  
Vol 22 (4) ◽  
pp. 287-293
Author(s):  
Ömer Faruk Çırakoğlu ◽  
Sinan Şahin ◽  
Ahmet Seyda Yılmaz
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Stable Angina ◽  
Predictive Value ◽  
Left Main ◽  
Propensity Score Matching Analysis ◽  
Artery Disease

Impact of Pre-Existing Depression in Patients With Coronary Artery Disease Undergoing Percutaneous Coronary Intervention; A Nationwide Cohort Study

2020 ◽  
Author(s):  
Jangho Park ◽  
Sangwoo Park ◽  
Yong-Giun Kim ◽  
Soe Hee Ann ◽  
Hyun Woo Park ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Percutaneous Coronary Intervention ◽  
Coronary Artery ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Coronary Intervention ◽  
Percutaneous Coronary ◽  
All Cause Mortality ◽  
Artery Disease ◽  
The Impact

Abstract The impact of pre-existing depression on mortality in individuals with established coronary artery disease (CAD) remains unclear. We evaluate the clinical implications of pre-existing depression in patients who underwent percutaneous coronary intervention (PCI). Based on National Health Insurance claims data in Korea, patients without a known history of CAD who underwent PCI between 2013 and 2017 were enrolled. The study population was divided into patients with angina (n=50,256) or acute myocardial infarction (AMI; n=40,049). The primary endpoint, defined as all-cause death, was compared between the non-depression and depression groups using propensity score matching analysis. After propensity score matching, there were 4,262 and 2,346 matched pairs of patients with angina and AMI, respectively. During the follow-up period, there was no significant difference in the incidence of all-cause death in the angina (hazard ratio [HR] of depression, 1.013; 95% confidence interval [CI]: 0.893-1.151) and AMI (HR, 0.991; 95% CI: 0.865-1.136) groups. However, angina patients less than 65 years of age with depression had higher all-cause mortality (HR, 1.769; 95% CI: 1.240-2.525). In Korean patients undergoing PCI, pre-existing depression is not associated with poorer clinical outcomes. However, in younger patients with angina, depression is associated with higher all-cause mortality.

Cost-Effectiveness of Screening Strategies for Left Main Coronary Artery Disease in Patients with Stable Angina

1988 ◽  
Vol 8 (4) ◽  
pp. 268-278 ◽  
Author(s):  
Thomas H. Lee ◽  
Tsuguya Fukui ◽  
Milton C. Weinstein ◽  
Anna N.A. Tosteson ◽  
Lee Goldman
Keyword(s):  
Coronary Artery Disease ◽  
Cost Effectiveness ◽  
Coronary Artery ◽  
Stable Angina ◽  
Left Main Coronary Artery ◽  
Left Main ◽  
Main Coronary Artery Disease ◽  
Screening Strategies ◽  
Artery Disease

scholarly journals Pre-existing depression in patients with coronary artery disease undergoing percutaneous coronary intervention

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jangho Park ◽  
Sangwoo Park ◽  
Yong-Giun Kim ◽  
Soe Hee Ann ◽  
Hyun Woo Park ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Percutaneous Coronary Intervention ◽  
Coronary Artery ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Coronary Intervention ◽  
Percutaneous Coronary ◽  
All Cause Mortality ◽  
Artery Disease ◽  
The Impact

AbstractThe impact of pre-existing depression on mortality in individuals with established coronary artery disease (CAD) remains unclear. We evaluate the clinical implications of pre-existing depression in patients who underwent percutaneous coronary intervention (PCI). Based on National Health Insurance claims data in Korea, patients without a known history of CAD who underwent PCI between 2013 and 2017 were enrolled. The study population was divided into patients with angina (n = 50,256) or acute myocardial infarction (AMI; n = 40,049). The primary endpoint, defined as all-cause death, was compared between the non-depression and depression groups using propensity score matching analysis. After propensity score matching, there were 4262 and 2346 matched pairs of patients with angina and AMI, respectively. During the follow-up period, there was no significant difference in the incidence of all-cause death in the angina (hazard ratio [HR] of depression, 1.013; 95% confidence interval [CI] 0.893–1.151) and AMI (HR, 0.991; 95% CI 0.865–1.136) groups. However, angina patients less than 65 years of age with depression had higher all-cause mortality (HR, 1.769; 95% CI 1.240–2.525). In Korean patients undergoing PCI, pre-existing depression is not associated with poorer clinical outcomes. However, in younger patients with angina, depression is associated with higher all-cause mortality.

scholarly journals Comparison of Nearest Neighbor and Caliper Algorithms in Outcome Propensity Score Matching to Study the Relationship between Type 2 Diabetes and Coronary Artery Disease

2021 ◽  
Author(s):  
Sara Sabbaghian Tousi ◽  
Hamed Tabesh ◽  
Azadeh Saki ◽  
Ali Tagipour ◽  
Mohammad Tajfard
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Nearest Neighbor ◽  
Nearest Neighbor Algorithm ◽  
Artery Disease ◽  
The Relationship

Introduction: Propensity score matching (PSM) is a method to reduce the impact of essential and confounders. When the number of confounders is high, there may be a problem of matching, in which, finding matched pairs for the case group is difficult, or impossible. The propensity score (PS) minimizes the effect of the confounders, and it is reduced to one dimension. There are various algorithms in the field of PSM. This study aimed to compared the nearest neighbor and caliper algorithms. Methods: Data obtained in this study were from patients undergoing angiography at Ghaem Hospital in Mashhad, between 2011-12. The study was a retrospective case-control using PSM. In total, 604 patients were included in the case and control groups. A logistic regression model was used to calculate the propensity score and adjust the variables, such as age, gender, Body Mass Index (BMI), systolic blood pressure, smoking status, and triglyceride. Then, the Odds Ratios (ORs) with 95% Confidence Intervals (CIs) for the raw data and two matching algorithms were determined to examine the relationship between type 2 diabetes and coronary artery disease (CAD). Results: Propensity score in the nearest neighbor and caliper algorithms matched the total number of 604 samples, 200 and 178 pairs, respectively. All variables were significantly different between the two groups before matching (P<0.05). The gender was significantly different between the two groups after matching using the nearest neighbor algorithm (P=0.002). No variables created a significant difference between the two groups after matching with the caliper algorithm. Conclusion: Bias reduction in the caliper algorithm was greater than for the nearest neighbor algorithm for all variables except the triglyceride variable.

Evaluation of the predictive value of Gensini score on determination of severity of coronary artery disease in cases with left bundle branch block

2018 ◽  
Vol 27 (5) ◽  
pp. 1297-1301
Author(s):  
Mohammad Hashemi ◽  
Mohammad Karimian ◽  
Peyman Nilforoush ◽  
Marzieh Taheri ◽  
Mohaddeseh Behjati
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Left Bundle Branch Block ◽  
Predictive Value ◽  
Gensini Score ◽  
Bundle Branch Block ◽  
Artery Disease

Coronary collateral function in the transplanted heart: propensity score matching with coronary artery disease

Heart ◽  
2011 ◽  
Vol 97 (7) ◽  
pp. 557-563 ◽  
Author(s):  
T. Rutz ◽  
S. Gloekler ◽  
S. F. de Marchi ◽  
T. Traupe ◽  
P. Meier ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Coronary Collateral ◽  
Artery Disease
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