Department of Cardiology and UTIC, "Gaetano Fucilo Hospital" Mercato S. Severino, Azienda Ospedaliera Universitaria Integrata di Salerno, Salerno, Italy.
Canopo Centro Studi, Salerno, Italy.
High Blood Press Cardiovasc Prev. 2021 Nov;28(6):597-603. doi: 10.1007/s40292-021-00477-3. Epub 2021 Oct 15.
Cardio-cerebrovascular (CCV) disease contributes significantly to the global burden of disease, with dramatic consequences in terms of mortality and general health. Mitigate CCV risk factors is the key to reduce individual and population risk of CCV events. Evidence-based medicine and epidemiological investigations of risk factors are essential to optimize actions.
To contribute to the knowledge of the burden of risk factors in determining CCV events in the individual patient and in the community.
Clinical data and risk factors were collected through a longitudinal survey (1999) as part of a larger epidemiology and cardiovascular prevention project, namely the "VIP (Valle dell'Irno Prevention) Project". We assessed the incidence of major cardiovascular events (MACE) and for each risk factor we calculated: prevalence, absolute risk, odds ratio (OR), additional risk (AR) = risk of exposed to the risk factor - risk of non-exposed, population attributable risk (PAR) = additional risk * prevalence, population attributable risk fraction (PAF) = PAR/total incidence of the disease.
Comparing the MACE group with the non-MACE group, a statistically significant difference was found for the following: glomerular filtration rate (GFR), glucose and systolic blood pressure (SBP), BMI, diastolic blood pressure (DBP), cholesterol, triglycerides, creatinine and uric acid. GFR, glucose and SBP showed the highest OR. Age, creatinine, glycemia, SBP and uric acid were independent predictor of MACE. When calculating the PAF, the CCV risk factors with the greatest impact on MACE were: SBP (29.6%), triglyceridemia (19.4%) and metabolic syndrome (18.3%).
The burden of risk factors on MACE changes substantially according to whether it is calculated in the single patient or in the population. It is crucial for physicians to take these differences into account when applying their own intervention to reduce CCV events.
心脑血管疾病(CCV)对全球疾病负担的影响巨大,在死亡率和总体健康方面产生了巨大的影响。减轻 CCV 的风险因素是降低个体和人群 CCV 事件风险的关键。循证医学和风险因素的流行病学调查对于优化行动至关重要。
为了了解个体患者和社区中决定 CCV 事件的风险因素的负担。
临床数据和风险因素是通过一项纵向调查(1999 年)收集的,该调查是一个更大的流行病学和心血管预防项目的一部分,即“VIP(Irno 谷预防)项目”。我们评估了主要心血管事件(MACE)的发生率,对于每个风险因素,我们计算了:患病率、绝对风险、优势比(OR)、附加风险(AR)=暴露于风险因素的风险-非暴露于风险因素的风险、人群归因风险(PAR)=附加风险*患病率、人群归因风险分数(PAF)=PAR/疾病总发生率。
将 MACE 组与非 MACE 组进行比较,发现肾小球滤过率(GFR)、血糖和收缩压(SBP)、BMI、舒张压(DBP)、胆固醇、甘油三酯、肌酐和尿酸存在统计学显著差异。GFR、血糖和 SBP 显示出最高的 OR。年龄、肌酐、血糖、SBP 和尿酸是 MACE 的独立预测因素。当计算 PAF 时,对 MACE 影响最大的 CCV 风险因素是:SBP(29.6%)、甘油三酯血症(19.4%)和代谢综合征(18.3%)。
根据在单个患者或人群中计算,风险因素对 MACE 的负担会发生很大变化。医生在应用自己的干预措施来降低 CCV 事件时,必须考虑到这些差异。