Panattoni Germana, Desimone Pietro, Toto Federica, Meringolo Federica, Jacomelli Ilaria, Rebecchi Marco, Cicogna Francesco, Calò Leonardo
Division of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.
Department of Cardiology, University of Rome 'Tor Vergata', Viale Oxford, 81, 00133 Rome, Italy.
Eur Heart J Suppl. 2025 Feb 19;27(Suppl 1):i16-i21. doi: 10.1093/eurheartjsupp/suae100. eCollection 2025 Feb.
Cardiovascular diseases (CVDs) remain a major cause of morbidity and mortality worldwide. The European Society of Cardiology Guidelines encourage the use of risk prediction models to enhance an adequate management of cardiovascular risk factors and the implementation of healthy behaviours. In primary prevention, estimating CVD risk is used to identify patients at high risk in order to enhance preventive strategies and decrease the incidence of unfavourable events and pre-mature cardiovascular deaths. Risk models integrate information on several conventional risk factors and estimate individual risk over a 10-year period. In addition to conventional risk factors, emerging non-traditional markers should be considered and mentioned in risk stratification. In secondary prevention, optimal management of patients include evaluation of residual CVD risk. The 10-year risk of recurrent events is not the same for all patients. The identification of high-risk patients is mandatory to prevent recurrent events and to allow to engage intensive treatments and follow-up strategies, representing an opportunity for major public health gain. This review provides a guide to evaluate which CVD risk score is appropriate for use in different settings in clinical practice.
心血管疾病(CVDs)仍是全球发病和死亡的主要原因。欧洲心脏病学会指南鼓励使用风险预测模型,以加强对心血管危险因素的适当管理,并促进健康行为的实施。在一级预防中,估计心血管疾病风险用于识别高危患者,以加强预防策略,减少不良事件的发生率和心血管疾病过早死亡。风险模型整合了多个传统危险因素的信息,并估计10年内的个体风险。除传统危险因素外,在风险分层中应考虑并提及新出现的非传统标志物。在二级预防中,患者的最佳管理包括评估残余心血管疾病风险。所有患者复发性事件的10年风险并不相同。识别高危患者对于预防复发性事件、进行强化治疗和随访策略至关重要,这是实现重大公共卫生效益的一个机会。本综述提供了一个指南,以评估哪种心血管疾病风险评分适用于临床实践中的不同情况。