Anatomical and Clinical Risk Stratification Tool for Mortality Risk Assessment Following Revascularization for Multivessel Coronary Artery Disease

Author(s):  
Eilon Ram ◽  
Tohar Kassif ◽  
Yael Peled ◽  
Yigal Kassif ◽  
Roni Postan Koren ◽  
...  
2001 ◽  
Vol 37 (8) ◽  
pp. 2053-2058 ◽  
Author(s):  
Verghese Mathew ◽  
Michael Farkouh ◽  
Diane E Grill ◽  
Lynn H Urban ◽  
Jack T Cusma ◽  
...  

2021 ◽  
pp. 1-11
Author(s):  
Xingxing S. Cheng ◽  
Daniel J. Watford ◽  
Hiroyuki Arashi ◽  
Margaret R. Stedman ◽  
Glenn M. Chertow ◽  
...  

<b><i>Introduction:</i></b> Current screening algorithms for coronary artery disease (CAD) before kidney transplantation result in many tests but few interventions. <b><i>Objective:</i></b> The aim of this study was to study the utility of 6-minute walk test (6MWT), an office-based test of cardiorespiratory fitness, for risk stratification in this setting. <b><i>Methods:</i></b> We enrolled 360 patients who are near the top of the kidney transplant waitlist at our institution. All patients underwent CAD evaluation irrespective of 6MWT results. We examined the association between 6MWT and time to CAD-related events (defined as cardiac death, revascularization, nonfatal myocardial infarction, and removal from the waitlist for CAD), treating noncardiac death and waitlist removal for non-CAD reasons as competing events. <b><i>Results:</i></b> The 6MWT-based approach designated approximately 45% of patients as “low risk,” whereas a risk factor- or symptom-based approach designated 14 and 81% of patients as “low risk,” respectively. The 6MWT-based approach was not significantly associated with CAD-related events within 1 year (subproportional hazard ratio [sHR] 1.00 [0.90–1.11] per 50 m) but was significantly associated with competing events (sHR 0.70 [0.66–0.75] per 50 m). In a companion analysis, removing waitlist status from consideration, 6MWT result was associated with the development of CAD-related events (sHR 0.92 [0.84–1.00] per 50 m). <b><i>Conclusions:</i></b> The 6MWT designates fewer patients as high risk and in need of further testing (compared to risk factor-based approaches), but its utility as a pure CAD risk stratification tool is modulated by the background waitlist removal rate. CAD screening before kidney transplant should be tailored according to a patient’s actual chance of receiving a transplant.


2011 ◽  
Vol 58 (12) ◽  
pp. 1211-1218 ◽  
Author(s):  
Chang-Wook Nam ◽  
Fabio Mangiacapra ◽  
Robert Entjes ◽  
In-Sung Chung ◽  
Jan-Willem Sels ◽  
...  

Heart ◽  
2017 ◽  
Vol 104 (11) ◽  
pp. 928-935 ◽  
Author(s):  
Simon Winther ◽  
Louise Nissen ◽  
Samuel Emil Schmidt ◽  
Jelmer Sybren Westra ◽  
Laust Dupont Rasmussen ◽  
...  

ObjectiveDiagnosing coronary artery disease (CAD) continues to require substantial healthcare resources. Acoustic analysis of transcutaneous heart sounds of cardiac movement and intracoronary turbulence due to obstructive coronary disease could potentially change this. The aim of this study was thus to test the diagnostic accuracy of a new portable acoustic device for detection of CAD.MethodsWe included 1675 patients consecutively with low to intermediate likelihood of CAD who had been referred for cardiac CT angiography. If significant obstruction was suspected in any coronary segment, patients were referred to invasive angiography and fractional flow reserve (FFR) assessment. Heart sound analysis was performed in all patients. A predefined acoustic CAD-score algorithm was evaluated; subsequently, we developed and validated an updated CAD-score algorithm that included both acoustic features and clinical risk factors. Low risk is indicated by a CAD-score value ≤20.ResultsHaemodynamically significant CAD assessed from FFR was present in 145 (10.0%) patients. In the entire cohort, the predefined CAD-score had a sensitivity of 63% and a specificity of 44%. In total, 50% had an updated CAD-score value ≤20. At this cut-off, sensitivity was 81% (95% CI 73% to 87%), specificity 53% (95% CI 50% to 56%), positive predictive value 16% (95% CI 13% to 18%) and negative predictive value 96% (95% CI 95% to 98%) for diagnosing haemodynamically significant CAD.ConclusionSound-based detection of CAD enables risk stratification superior to clinical risk scores. With a negative predictive value of 96%, this new acoustic rule-out system could potentially supplement clinical assessment to guide decisions on the need for further diagnostic investigation.Trial registration numberClinicalTrials.gov identifier NCT02264717; Results.


2008 ◽  
Vol 4 (1) ◽  
pp. 23
Author(s):  
Stefan Möhlenkamp ◽  
Raimund Erbel ◽  
Gerd Heusch ◽  
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