Faculty Opinions recommendation of Can cardiac computed tomography predict cardiovascular events in asymptomatic type-2 diabetics?: results of a long term follow-up.

Author(s):  
Nathan Wong
2020 ◽  
Author(s):  
Zhijie Jian ◽  
Zhe Liu ◽  
Li Zhou ◽  
Ningning Ding ◽  
Hui Zhang ◽  
...  

Abstract Background: The value of cardiac computed tomography (CT) for screening and risk stratification in patients with type 2 diabetes mellitus (DM) who are at a higher cardiovascular risk is unclear. Thus, this study aim s to investigate the efficacy of cardiac CT in predicting long-term cardiovascular events (CVEVs) in this subset of patients. Methods: Type 2 diabetic with a higher cardiovascular risk who underwent cardiac CT between 2012 and 2014 were included in this study. Cardiac CT was performed, and coronary artery calcium score, location and extent of lesion, stenosis severity, plaque composition, and epicardial adipose tissue (EAT) volume were assessed. The endpoints were a composite of CVEVs (cardiac death, non-fatal myocardial infarction, or coronary revascularization,non-fatal stroke, hospitalization for unstable angina, and hospitalization for congestive heart failure). Potential predictors of CVEVs were identified. Predictive models were created and compared. Results: CVEVs occurred in 26.8% of the patients. Independent predictors of CVEVs included diabetes duration (odds ratio [OR]=10.003), mean creatinine level (OR=3.845), hypertension (OR=3.844), atheroma burden obstructive score (OR=14.060), segment stenosis score (OR=7.912), and EAT volume (OR=7.947). The model including cardiac CT data and clinical parameters improved the prediction of CVEVs, with an area under the receiver operating characteristic curve of 0.912 (95% confidence interval 0.829–0.963; p<0.05) for the prediction of the study endpoints. Conclusion: Cardiac CT showed a great value in risk stratification for patients with diabetes with higher cardiovascular risk. Cardiac CT data may help predict CVEVs and potentially improve outcomes.


2021 ◽  
pp. 1-6
Author(s):  
Kerul Marsonia ◽  
Kedarisetti Kiran Chandra ◽  
M. Hasnat Ali ◽  
Jay Chhablani ◽  
Raja Narayanan

Diabetes ◽  
2021 ◽  
Vol 70 (Supplement 1) ◽  
pp. 564-P
Author(s):  
DANIEL COX ◽  
MATTHEW A. MONCRIEF ◽  
ANTHONY L. MCCALL

2016 ◽  
Vol 97 (2) ◽  
pp. 142-147 ◽  
Author(s):  
Sebastian Nestler ◽  
Patrick Levien ◽  
Andreas Neisius ◽  
Christian Thomas ◽  
Mohammed M. Kamal ◽  
...  

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Lidija Savic ◽  
Igor Mrdovic ◽  
Milika Asanin ◽  
Sanja Stankovic ◽  
Gordana Krljanac ◽  
...  

Background/Aim. The RISK-PCI is a simple score for the prediction of 30-day major adverse cardiovascular events (MACE) and mortality in patients treated with primary PCI (pPCI). The aim of the present study is to evaluate the prognostic performance of the RISK-PCI score in predicting MACE and mortality in the long-term follow-up of STEMI patients treated with pPCI. Method. The present study enrolled 2,096 STEMI patients treated with pPCI included in the RISK-PCI trial. Patients presenting with cardiogenic shock were excluded. The composite end-point MACE comprising cardiovascular mortality, nonfatal reinfarction and stroke. Patients were followed up at 6 years after enrollment. Results. One-year and 6-year MACE occurred in 229 (10.9%) and 285 (13.6%) patients, respectively; and 1-year and 6-year mortality occurred in 128 (6.2%) and 151 (7.2%) patients, respectively. The RISK-PCI score was an independent predictor for 1-year MACE (HR 1.24, 95% CI 1, 18–1.31, p<0.001), 6-year MACE (HR 1.22, 95% CI 1.16–1.28, p<0.001), 1-year mortality (HR 1.21, 95% CI 1.13–1.29, p<0.001), and 6-year mortality (HR 1.23, 95% CI 1.15–1.31, p<0.001). The discrimination of the RISK-PCI score to predict 1-year and 6-year MACE and mortality was good: for 1-year MACE c-statistic 0.78, for 6-year MACE c-statistic 0.75, for 1-year mortality c-statistic 0.87, and for 6-year mortality c-statistic 0.83. The nonsignificant Hosmer–Lemeshow goodness-of-fit estimates for 1-year MACE (p=0.619), 6-year MACE (p=0.319), 1-year mortality (p=0.258), and 6-year mortality (p=0.540) indicated a good calibration of the model. Conclusion. The RISK-PCI score demonstrates good characteristics in the assessment of the risk for the occurrence of MACE and mortality during long-term follow-up after pPCI.


2019 ◽  
Vol 42 (6) ◽  
pp. 592-604
Author(s):  
Hanumantha R. Jogu ◽  
Sameer Arora ◽  
Muthiah Vaduganathan ◽  
Arman Qamar ◽  
Ambarish Pandey ◽  
...  

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