245 NT-proBNP diagnostic value for diagnosis of isolated diastolic LV dysfunction in ischemic heart disease

2006 ◽  
Vol 5 (1) ◽  
pp. 51-51
Author(s):  
K WITA ◽  
A FILIPECKI ◽  
Z TABOR ◽  
W WROBEL ◽  
M NOWAK ◽  
...  
1991 ◽  
Vol 24 (11) ◽  
pp. 1453-1461
Author(s):  
Shigeaki Sato ◽  
Makoto Ohta ◽  
Michimasa Soejima ◽  
Hiroshi Tanaka ◽  
Kenichi Sugimoto ◽  
...  

Kardiologiia ◽  
2020 ◽  
Vol 60 (8) ◽  
pp. 46-53
Author(s):  
V. A. Brazhnik ◽  
L. O. Minushkina ◽  
N. R. Khasanov ◽  
E. D. Kosmacheva ◽  
M. A. Chichkova ◽  
...  

Aim      To develop a model for evaluating the risk of stroke in patients after exacerbation of ischemic heart disease who were admitted to the hospitals included into a vascular program.Materials and methods This study included 1803 patients with acute coronary syndrome (ACS) from four institutions of Moscow, Kazan, Astrakhan, and Krasnodar where the vascular program was established. Mean age of patients was 64.9±12.78 years, 62,1 % of them were men. The patients were followed up for one year after the discharge from the hospital. External validation of the developed prognostic model was performed on a cohort of patients with ACS included into the RECORD-3 study.Results During the follow-up period, 42 cases of ischemic stroke were observed. The risk of ischemic stroke was associated with the presence of atrial fibrillation (odd ratio (OR) 2.640; р=0.037), diabetes mellitus (OR 2.718; р=0.041), and chronic heart failure (OR 7.049; р=0.011). Protective factors were high-density lipoprotein cholesterol >1 mmol/l (OR 0.629; р=0.041), percutaneous coronary intervention during an index hospitalization (OR 0.412; р=0.042), anticoagulant treatment (OR 0.670; р=0.049), and achieving the blood pressure goal (OR 0.604; р=0.023). The prognostic model developed on the basis of regression analysis showed a good predictive value (area under the ROC curve, 0.780), sensitivity of 80 %, and specificity of 64.6 %. The diagnostic value of other scales for risk assessment was somewhat lower. The area under the ROC curve was 0.692±0.0245 for the GRACE scale and 0.708±0.0334 for CHA2DS2‑VASc. In the external validation of the scale based on data of the RECORD-3 study, the diagnostic value was lower although satisfactory as well (area under the ROC curve, 0.651); sensitivity was 78.9 %, and specificity was 52.3 %.Conclusion      The study resulted in development of a simple clinical scale, which will probably allow identifying groups at risk of stroke more precisely than with standard scales. 


2020 ◽  
Author(s):  
Agnieszka Bielska ◽  
Witold Bauer ◽  
Anna Szalkowska ◽  
Iwona Sidorkiewicz ◽  
Anna Skwarska ◽  
...  

Abstract Background The increasing morbidity and mortality of type 2 diabetic mellitus (T2DM) patients with ischemic heart disease (IHD) highlights an urgent need to identify early biomarkers, which would help to predict individual risk of development of IHD. Here, we postulate that circulating serum-derived miRNAs may serve as potential biomarkers for early IHD diagnosis and help to identify diabetic individuals with a predisposition to undergo IHD. Methods We obtained serum samples from T2DM patients either with IHD or IHD-free and analysed the expression levels of 798 miRNAs using the NanoString nCounter Technology Platform. The prediction of the putative miRNAs targets was performed using the Ingenuity Pathway Analysis (IPA) software. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic value of identified miRNAs. Results Our data showed that 9 miRNAs (miR-1224-5p, miR-1303, miR-3147, miR-4455, miR-498, miR-548b-3p, miR-548d-3p, miR-615-3p, miR-651-5p) were significantly upregulated in T2DM IHD patients compared to T2DM patients without IHD. In patients with upregulated miRNA, functional enrichment analysis of target genes by IPA indicated networks and canonical pathways involved in the pathology of the cardiovascular system. All tested miRNAs showed high diagnostic value (AUC > 0.8). Conclusions Taken together, our findings suggest that circulating miRNAs might have a crucial role in the development of IHD in diabetic patients and may be used as a potential biomarker for early diagnosis.


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