Study the Effect of Seasonal Influenza Virus Infection on Patients with Acute Myocardial Infarction and Acute Kidney Injury

2016 ◽  
Vol 19 (2) ◽  
pp. 8-17
Author(s):  
Maysoon Mohammad Najeeb Mohammad Saleem ◽  
2013 ◽  
Vol 24 (9) ◽  
pp. 781-786
Author(s):  
Takeo Matsuyoshi ◽  
Yasusei Okada ◽  
Hiroshi Inagawa ◽  
Naoki Kojima ◽  
Kazumasa Yamaguchi ◽  
...  

2019 ◽  
Vol 34 (Supplement_1) ◽  
Author(s):  
Isidro Torregrosa ◽  
Ma Solis ◽  
Carmen Ramos ◽  
Aurora Perez-Ys ◽  
Andrea Muijsenberg ◽  
...  

2012 ◽  
Vol 61 (6) ◽  
pp. 591-598 ◽  
Author(s):  
Xiuru Guan ◽  
Wei Yang ◽  
Xijuan Sun ◽  
Lanfeng Wang ◽  
Benjiang Ma ◽  
...  

Inflammation ◽  
2008 ◽  
Vol 31 (4) ◽  
pp. 266-272 ◽  
Author(s):  
Xiu-Ru Guan ◽  
Xin Li ◽  
Xiao-Min Xin ◽  
Li-Xin Jiang ◽  
Lan-Ying Cui ◽  
...  

2021 ◽  
Author(s):  
Nischit Baral ◽  
Niranjan Nayak

Influenza is a major cause of hospitalization in all age groups but can cause more severe infections in specific high-risk population. Novel Corona Virus Disease 2019 (COVID-19) pandemic and Influenza virus infection cause similar illness and coexist. Cardiovascular complications due to influenza are important causes of morbidity and mortality in the US, especially in the elderly population (aged more than 65 years). Acute Myocardial Infarction (AMI) is the most serious among the cardiovascular causes of mortality following the attack of influenza, mainly in patients with various co-morbidities like pre-existing coronary artery disease (CAD), diabetes mellitus (DM), hypertension (HTN), and heart failure (HF). We have reviewed the association between influenza virus infection and AMI and extrapolated the beneficial effects of influenza vaccine in preventing AMI and its grave consequences. We have also highlighted about the importance of flu shot during the COVID-19 pandemic.


2021 ◽  
Vol 35 ◽  
pp. 100826
Author(s):  
Ryota Kosaki ◽  
Kohei Wakabayashi ◽  
Shunya Sato ◽  
Hideaki Tanaka ◽  
Kunihiro Ogura ◽  
...  

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.


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