Interrelated aldosterone and parathyroid hormone mutually modify cardiovascular mortality risk

2015 ◽  
Vol 184 ◽  
pp. 710-716 ◽  
Author(s):  
Andreas Tomaschitz ◽  
Stefan Pilz ◽  
Jutta Rus-Machan ◽  
Andreas Meinitzer ◽  
Vincent M. Brandenburg ◽  
...  
2014 ◽  
Vol 64 (5) ◽  
pp. 472-481 ◽  
Author(s):  
Duck-chul Lee ◽  
Russell R. Pate ◽  
Carl J. Lavie ◽  
Xuemei Sui ◽  
Timothy S. Church ◽  
...  

Author(s):  
Serkan Asil ◽  
Ender Murat ◽  
Hatice Taşkan ◽  
Veysel Özgür Barış ◽  
Suat Görmel ◽  
...  

Introduction: The most important way to reduce CVD-related mortality is to apply appropriate treatment according to the risk status of the patients. For this purpose, the SCORE risk model is used in Europe. In addition to these risk models, some anthropometric measurements are known to be associated with CVD risk and risk factors. Objectives: This study aimed to investigate the association of these anthropometric measurements, especially neck circumference (NC), with the SCORE risk chart. Methods: This was planned as a cross-sectional study. The study population were classified according to their SCORE risk values. The relationship of NC and other anthropometric measurements with the total cardiovascular risk indicated by the SCORE risk was investigated. Results: A total of 232 patients were included in the study. The patients participating in the study were analysed in four groups according to the SCORE ten-year total cardiovascular mortality risk. As a result, the NC was statistically significantly lower among the SCORE low and moderate risk group than all other SCORE risk groups (low-high and very high 36(3)–38(4) (IQR) p: 0.026, 36(3)–39(4) (IQR) p < 0.001, 36(3)–40(4) (IQR) p < 0.001), (moderate-high and very high 38(4) vs. 39(4) (IQR) p: 0.02, 38(4) vs. 40(4) (IQR) p < 0.001, 39(4) vs. 40(4) (IQR) p > 0.05). NC was found to have the strongest correlation with SCORE than the other anthropometric measurements. Conclusions: Neck circumference correlates strongly with the SCORE risk model which shows the ten-year cardiovascular mortality risk and can be used in clinical practice to predict CVD risk.


JAMA ◽  
2005 ◽  
Vol 293 (14) ◽  
pp. 1737 ◽  
Author(s):  
Michael G. Shlipak ◽  
Linda F. Fried ◽  
Mary Cushman ◽  
Teri A. Manolio ◽  
Do Peterson ◽  
...  

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0143839 ◽  
Author(s):  
Abdonas Tamosiunas ◽  
Ricardas Radisauskas ◽  
Jurate Klumbiene ◽  
Gailute Bernotiene ◽  
Janina Petkeviciene ◽  
...  

2020 ◽  
Vol 229 ◽  
pp. 171
Author(s):  
Noraidatulakma Abdullah ◽  
Nor Azian Abdul Murad ◽  
Raihannah Othman ◽  
Azwa Shazwani Kamalul Arifin ◽  
Mohd Raziff Alias ◽  
...  

2015 ◽  
Vol 100 (12) ◽  
pp. 4588-4594 ◽  
Author(s):  
Tomi S. Mikkola ◽  
Pauliina Tuomikoski ◽  
Heli Lyytinen ◽  
Pasi Korhonen ◽  
Fabian Hoti ◽  
...  

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