scholarly journals Predictive value of the baseline electrocardiogram ST‐segment pattern in cardiogenic shock: Results from the CardShock Study

2018 ◽  
Vol 23 (5) ◽  
Author(s):  
Tuija Javanainen ◽  
Heli Tolppanen ◽  
Johan Lassus ◽  
Markku S. Nieminen ◽  
Alessandro Sionis ◽  
...  
2017 ◽  
pp. 59-63
Author(s):  
Thanh Hung Dieu ◽  
Anh Vu Nguyen

Objects: We assessed the ability of ST-segment elevation in lead aVR to predict left main and/or 3-vessel disease (LM/3VD) in patients with acute coronary syndromes (ACS). Meterial and Method: 410 patients with ACS, who underwent coronary angiography, were evaluated. Results: 131 (31.9%) patients have been LM/3VD. ST segment elevation > 0.05 mV in leads aVR have been an independent predictor LM/3VD with sensitivity, specificity, positive predictive value PPV) and negative predictive value (NPV) 74.0%, 78.1%, 61.4% and 86.5%, respectively (p<0.001). ST segment elevation > 0.05 mV in leads aVR with ST segment depression in leads V4-V6 have related LM/3VD with sensitivity, specificity, PPV and NPV 44.3%, 92.8%, 74.4% and 75.2%, respectively (p<0.001). ST segment elevation > 0.1 mV in leads aVR have related LM/3VD with sensitivity, specificity, PPV and NPV 51.9%, 87.1%, 65.1% and 79.4%, respectively (p<0.001). Conclusions: ST segment elevation > 0.05 mV in leads aVR have been an independent predictor LM/3VD in patients with ACS. Key words: Acute coronary syndromes, ST-segment elevation, aVR


2021 ◽  
Author(s):  
Saraschandra Vallabhajosyula ◽  
Jacob C. Jentzer ◽  
Abhiram Prasad ◽  
Lindsey R. Sangaralingham ◽  
Kianoush Kashani ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Side Gao ◽  
Qingbo Liu ◽  
Hui Chen ◽  
Mengyue Yu ◽  
Hongwei Li

Abstract Background Acute hyperglycemia has been recognized as a robust predictor for occurrence of acute kidney injury (AKI) in nondiabetic patients with acute myocardial infarction (AMI), however, its discriminatory ability for AKI is unclear in diabetic patients after an AMI. Here, we investigated whether stress hyperglycemia ratio (SHR), a novel index with the combined evaluation of acute and chronic glycemic levels, may have a better predictive value of AKI as compared with admission glycemia alone in diabetic patients following AMI. Methods SHR was calculated with admission blood glucose (ABG) divided by the glycated hemoglobin-derived estimated average glucose. A total of 1215 diabetic patients with AMI were enrolled and divided according to SHR tertiles. Baseline characteristics and outcomes were compared. The primary endpoint was AKI and secondary endpoints included all-cause death and cardiogenic shock during hospitalization. The logistic regression analysis was performed to identify potential risk factors. Accuracy was defined with area under the curve (AUC) by a receiver-operating characteristic (ROC) curve analysis. Results In AMI patients with diabetes, the incidence of AKI (4.4%, 7.8%, 13.0%; p < 0.001), all-cause death (2.7%, 3.6%, 6.4%; p = 0.027) and cardiogenic shock (4.9%, 7.6%, 11.6%; p = 0.002) all increased with the rising tertile levels of SHR. After multivariate adjustment, elevated SHR was significantly associated with an increased risk of AKI (odds ratio 3.18, 95% confidence interval: 1.99–5.09, p < 0.001) while ABG was no longer a risk factor of AKI. The SHR was also strongly related to the AKI risk in subgroups of patients. At ROC analysis, SHR accurately predicted AKI in overall (AUC 0.64) and a risk model consisted of SHR, left ventricular ejection fraction, N-terminal B-type natriuretic peptide, and estimated glomerular filtration rate (eGFR) yielded a superior predictive value (AUC 0.83) for AKI. Conclusion The novel index SHR is a better predictor of AKI and in-hospital mortality and morbidity than admission glycemia in AMI patients with diabetes.


2013 ◽  
Vol 35 (3) ◽  
pp. 146-146 ◽  
Author(s):  
Pan-Pan Hao ◽  
Rui Shang ◽  
Yan-Ping Liu ◽  
Gui-Hua Hou ◽  
Ming-Xiang Zhang ◽  
...  

Author(s):  
Saraschandra Vallabhajosyula ◽  
Huzefa M Bhopalwala ◽  
Pranathi R Sundaragiri ◽  
Nakeya Dewaswala ◽  
Wisit Cheungpasitporn ◽  
...  

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