Gander Jennifer C, Sui Xuemei, Hébert James R, Lavie Carl J, Hazlett Linda J, Cai Bo, Blair Steven N
Department of Surgery, Emory University School of Medicine, Atlanta, GA, United States.
Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
Prev Med Rep. 2017 May 18;7:30-37. doi: 10.1016/j.pmedr.2017.05.008. eCollection 2017 Sep.
The Framingham Risk Score (FRS) was developed to quantify a patient's coronary heart disease (CHD) risk. Non-exercise estimated CRF (e-CRF) may provide a clinically practical method for describing cardiorespiratory fitness. We computed e-CRF and tested its association with the FRS and CHD. Male participants (n = 29,854) in the Aerobics Center Longitudinal Study (ACLS) who completed a baseline examination between 1979-2002 were followed for 12 years to determine incident CHD defined by self-report of myocardial infarction, revascularization, or CHD mortality. e-CRF was defined from a 7-item scale and categorized using age-specific tertiles. Multivariable survival analysis determined associations between FRS, e-CRF, and CHD. Interaction between e-CRF and FRS was tested by stratified analysis by 'low' and 'moderate or high' 10-year CHD risk. Men with high e-CRF were significantly (p-value < 0.0001) younger, and less likely to be smokers, compared to men with low e-CRF. Multivariable survival analysis reported men with high e-CRF were 29% (HR = 0.71; 95% 0.56, 0.88) less likely to experience a CHD event compared to men with low e-CRF. Stratified analyses showed men with 'low' 10-year FRS predicted CHD risk and high e-CRF had a 28% (HR = 0.72; 95% CI 0.57, 0.91) lower CHD-mortality risk compared to men with low e-CRF, no association was found in this group and men with moderate e-CRF. Men who were more fit had a decreased risk for CHD compared to men in the lowest third of fitness. Estimated CRF may add clinical value to the FRS and help clinicians better predict long-term CHD risk.
弗雷明汉风险评分(FRS)旨在量化患者患冠心病(CHD)的风险。非运动估计心肺适能(e-CRF)可为描述心肺健康状况提供一种临床实用方法。我们计算了e-CRF,并测试了其与FRS及CHD的关联。对有氧运动中心纵向研究(ACLS)中1979年至2002年间完成基线检查的男性参与者(n = 29,854)进行了12年的随访,以确定由心肌梗死、血运重建或CHD死亡率的自我报告所定义的CHD发病情况。e-CRF由一个7项量表定义,并按年龄特异性三分位数进行分类。多变量生存分析确定了FRS、e-CRF与CHD之间的关联。通过按10年CHD低风险和中高风险进行分层分析,测试了e-CRF与FRS之间的相互作用。与低e-CRF的男性相比,高e-CRF的男性明显更年轻(p值<0.0001),且吸烟的可能性更小。多变量生存分析报告称,与低e-CRF的男性相比,高e-CRF 的男性发生CHD事件的可能性低29%(风险比=0.71;95%置信区间0.56,0.88)。分层分析显示,10年FRS低的男性预测有CHD风险,与低e-CRF的男性相比,高e-CRF的男性CHD死亡率风险低28%(风险比=0.72;95%置信区间0.57,0.91),在该组以及中e-CRF的男性中未发现关联。与处于最低三分位健康水平的男性相比,健康状况更好的男性患CHD的风险降低。估计的CRF可能会为FRS增加临床价值,并帮助临床医生更好地预测CHD的长期风险。