Asil Serkan, Murat Ender, Taşkan Hatice, Barış Veysel Özgür, Görmel Suat, Yaşar Salim, Çelik Murat, Yüksel Uygar Çağdaş, Kabul Hasan Kutsi, Barçın Cem
Department of Cardiology, Gülhane Training and Research Hospital, 06010 Ankara, Turkey.
Department of Cardiology, Gaziantep Dr. Ersin Arslan Training and Research Hospital, 27010 Gaziantep, Turkey.
Int J Environ Res Public Health. 2021 Oct 14;18(20):10763. doi: 10.3390/ijerph182010763.
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.
This study aimed to investigate the association of these anthropometric measurements, especially neck circumference (NC), with the SCORE risk chart.
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.
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) : 0.026, 36(3)-39(4) (IQR) < 0.001, 36(3)-40(4) (IQR) < 0.001), (moderate-high and very high 38(4) vs. 39(4) (IQR) : 0.02, 38(4) vs. 40(4) (IQR) < 0.001, 39(4) vs. 40(4) (IQR) > 0.05). NC was found to have the strongest correlation with SCORE than the other anthropometric measurements.
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.
降低心血管疾病（CVD）相关死亡率的最重要方法是根据患者的风险状况进行适当治疗。为此，欧洲使用SCORE风险模型。除了这些风险模型外，一些人体测量指标也已知与CVD风险及风险因素相关。
本研究旨在探讨这些人体测量指标，尤其是颈围（NC）与SCORE风险图表之间的关联。
本研究计划为横断面研究。研究人群根据其SCORE风险值进行分类。研究了NC及其他人体测量指标与SCORE风险所指示的总心血管风险之间的关系。
本研究共纳入232例患者。参与研究的患者根据SCORE十年总心血管死亡率风险分为四组。结果显示，SCORE低风险和中风险组的NC在统计学上显著低于所有其他SCORE风险组（低-高风险组和极高风险组：36(3)-38(4)（四分位间距）：0.026，36(3)-39(4)（四分位间距）<0.001，36(3)-40(4)（四分位间距）<0.001），（中-高风险组和极高风险组：38(4) 对 39(4)（四分位间距）：0.02，38(4) 对 40(4)（四分位间距）<0.001，39(4) 对 40(4)（四分位间距）>0.05）。发现NC与SCORE的相关性比其他人体测量指标更强。
颈围与显示十年心血管死亡率风险的SCORE风险模型密切相关，可用于临床实践中预测CVD风险。
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