Di Gioia Giuseppe, Buzzelli Lorenzo, Maestrini Viviana, Nenna Antonio, Monosilio Sara, Squeo Maria Rosaria, Lemme Erika, Pelliccia Antonio
Department of Cardiology, Institute of Sport Medicine and Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1, 00197 Rome, Italy.
Department of Cardiovascular Sciences, Fondazione Policlinico Universitario Campus Bio-Medico, Via Alvaro del Portillo, 200, 00128 Rome, Italy.
J Clin Med. 2023 Nov 30;12(23):7449. doi: 10.3390/jcm12237449.
Dyslipidemia is a major risk factor for atherosclerosis. Identification of dyslipidemia in athletes has raised interest in establishing preventive strategies and reducing cardiovascular (CV) events. Nowadays, targets or "scores" for athletes are undefined. The aim of our study was to create a "Lipid Athlete Score" based on lipid parameters and derive score indexes to identify high-risk athletes. We retrospectively enrolled 957 Olympic athletes practicing different sporting disciplines (power, skills, endurance, and mixed), analyzing their CV profiles and anthropometrics; 55.4% were male, the mean age was 27.1 ± 5 years, and the mean body mass index (BMI) was 23.1 ± 3.2 kg/m. Three hundred and forty-three athletes (35.8%) were dyslipidemic (LDL ≥ 115 mg/dL or LDL/HDL ≥ 1.90). Multivariate analysis revealed the following: male = 0.001, OR 1.88 [0.41-2.51], familiarity for dyslipidemia = 0.001, OR 2.82 [1.72-4.59], BMI ≥ 30 kg/m = 0.001, OR 2.53 [1.46-4.38], and fat mass = 0.001, OR 2.29 [1.38-3.80] were significant. Endurance athletes presented the lowest CV risk. We proposed a lipid athlete score including major (LDL ≥ 115 mg/dL and LDL/HDL ≥ 1.90) and minor criteria (male, BMI > 30 kg/m or fat mass >22% for males and 32% for females, familiarity for dyslipidemia, and conventional CV risk factors). Twelve athletes (1.2%) were at high risk, 150 athletes (15.7%) at medium risk, 171 athletes (17.9%) at low risk, and 624 (65.2%) were at no risk. Dyslipidemia is very common in elite athletes. We have defined a specific lipid athlete score based on lipid parameters and derived score indexes for the stratification of risk. In accordance with this tool, a substantial proportion of athletes (16.9%) were at medium-to-high risk and need early preventive strategies to improve their lipid profiles and reduce the future development of atherosclerotic CV diseases.
血脂异常是动脉粥样硬化的主要危险因素。运动员血脂异常的识别引发了人们对制定预防策略和减少心血管(CV)事件的兴趣。如今,针对运动员的目标或“评分”尚未明确。我们研究的目的是基于血脂参数创建一个“运动员血脂评分”,并得出评分指数以识别高危运动员。我们回顾性纳入了957名从事不同体育项目(力量、技巧、耐力和混合项目)的奥运会运动员,分析他们的心血管状况和人体测量数据;其中55.4%为男性,平均年龄为27.1±5岁,平均体重指数(BMI)为23.1±3.2kg/m²。343名运动员(35.8%)存在血脂异常(低密度脂蛋白≥115mg/dL或低密度脂蛋白/高密度脂蛋白≥1.90)。多变量分析显示以下因素具有显著性:男性=0.001,比值比1.88[0.41 - 2.51];有血脂异常家族史=0.001,比值比2.82[1.72 - 4.59];BMI≥30kg/m²=0.001,比值比2.53[1.46 - 4.38];体脂=0.001,比值比2.29[1.38 - 3.80]。耐力运动员的心血管风险最低。我们提出了一个运动员血脂评分,包括主要标准(低密度脂蛋白≥115mg/dL和低密度脂蛋白/高密度脂蛋白≥1.90)和次要标准(男性、BMI>30kg/m²或男性体脂>22%、女性体脂>32%、有血脂异常家族史以及传统心血管危险因素)。12名运动员(1.2%)处于高危,150名运动员(15.7%)处于中危,171名运动员(17.9%)处于低危,624名(65.2%)无风险。血脂异常在精英运动员中非常常见。我们基于血脂参数定义了一个特定的运动员血脂评分,并得出了用于风险分层的评分指数。根据这个工具,相当一部分运动员(16.9%)处于中高风险,需要早期预防策略来改善他们的血脂状况,减少未来动脉粥样硬化性心血管疾病的发生。