Ganotakis Emmanuel S, Vrentzos George E, Gazi Irene F, Papadakis John A, Jagroop Anita, Paraskevas Kosmas I, Nair Devaki R, Mikhailidis Dimitri P
Department of Clinical Biochemistry (Vascular Disease Prevention Clinic), Royal Free Hospital and Royal Free University College Medical School, London NW3 2QG, UK.
In Vivo. 2007 Jul-Aug;21(4):685-94.
To determine the correlation between cardiovascular risk calculated using the Framingham equation and the circulating levels of 4 'emerging'predictors of vascular events: fibrinogen (Fib), lipoprotein (a) (Lp(a)), albumin (Alb) and bilirubin (Bil) (F-L-A-B).
A retrospective survey was carried out using patients referred to a specialist university-based clinic. A total of 376 patients with primary dyslipidaemia (209 men), without overt vascular disease, had their cardiovascular risk estimated using the Framingham equation.
Among the men, smokers (n=45) were significantly younger (p =0.014) than non-smokers (n=164). Smokers when compared with non-smokers had significantly higher median Fib levels (3.84 (1.15-5.87) vs. 3.08 (1.44-5.47) g/l; p<0.0001) and lower median Bil levels (8 (3-17) vs. 10 (1-28) micromol/l; p=0.016). When non-smoker men without clinically evident vascular disease were considered, there was a significant positive Fib and negative Alb correlation with calculated risk, whether the family history was considered or not. Moreover in smokers, the only significant correlation was a negative one between Bil and cardiovascular disease risk. Lp(a) correlated with risk for stroke in women non-smokers whether the family history was considered or not, while Alb correlated with risk for stroke in women non-smokers without family history.
Fib, Lp(a), Alb and Bil (F-L-A-B) may be predictors of vascular events in high-risk populations. Prospective studies should evaluate whether the F-L-A-B markers are useful in the assessment of cardiovascular risk load. Such an advantage would make treatment more cost effective by improving patient targeting. The F-L-A-B markers could eventually become targets for new drugs.
确定使用弗雷明汉方程计算的心血管风险与4种“新兴”血管事件预测指标的循环水平之间的相关性,这4种指标为纤维蛋白原(Fib)、脂蛋白(a)[Lp(a)]、白蛋白(Alb)和胆红素(Bil)(F-L-A-B)。
对转诊至一所大学专科诊所的患者进行回顾性调查。共有376例原发性血脂异常患者(209例男性),无明显血管疾病,使用弗雷明汉方程评估其心血管风险。
在男性中,吸烟者(n = 45)比不吸烟者(n = 164)明显年轻(p = 0.014)。与不吸烟者相比,吸烟者的Fib中位数水平显著更高(3.84(1.15 - 5.87)对3.08(1.44 - 5.47)g/l;p < 0.0001),而Bil中位数水平更低(8(3 - 17)对10(1 - 28)μmol/l;p = 0.016)。当考虑无临床明显血管疾病的非吸烟男性时,无论是否考虑家族史,Fib与计算出的风险呈显著正相关,Alb与计算出的风险呈显著负相关。此外,在吸烟者中,唯一显著的相关性是Bil与心血管疾病风险之间的负相关。无论是否考虑家族史,Lp(a)与非吸烟女性的中风风险相关,而Alb与无家族史的非吸烟女性的中风风险相关。
Fib、Lp(a)、Alb和Bil(F-L-A-B)可能是高危人群血管事件的预测指标。前瞻性研究应评估F-L-A-B标志物在评估心血管风险负荷方面是否有用。这样的优势将通过改善患者靶向性使治疗更具成本效益。F-L-A-B标志物最终可能成为新药的靶点。