Holme Ingar, Strandberg Timo E, Faergeman Ole, Kastelein John J P, Olsson Anders G, Tikkanen Matti J, Larsen Mogens Lytken, Lindahl Christina, Pedersen Terje R
Centre of Preventive Medicine, Ullevål University Hospital, Oslo, Norway.
Atherosclerosis. 2009 Aug;205(2):522-7. doi: 10.1016/j.atherosclerosis.2009.01.023. Epub 2009 Jan 24.
Very few, if any, studies have assessed the ability of apolipoproteins to predict new-onset of congestive heart failure (HF) in statin-treated patients with coronary heart disease (CHD).
To employ the Incremental Decrease in End points Through Aggressive Lipid Lowering Trial (IDEAL) study database to assess the association of on-treatment lipoprotein components with prediction of HF events and to compare their predictive value with that of established risk factors such as hypertension and diabetes.
We used Cox regression models to study the relationships between on-treatment levels of apolipoproteins A1 and B to subsequent HF. Chi square information value from the log likelihood was used to compare the predictive value of lipoprotein components with established risk factors of HF.
In the IDEAL study, on-treatment apolipoproteins proved to be associated with the occurrence of new-onset HF. Variables related to low-density lipoprotein cholesterol (LDL-C) carried less predictive information than those related to high-density lipoprotein cholesterol (HDL-C), and apoA-1 was the single variable most strongly associated with HF. LDL-C was less predictive than both non-HDL-C (total cholesterol minus HDL-C) and apoB. The ratio of apoB to apoA-1 was most strongly related to HF after adjustment for potential confounders, among which diabetes had a stronger correlation with HF than did hypertension. ApoB/apoA-1 carried approximately 2.2 times more of the statistical information value than that of diabetes. Calculation of the net reclassification improvement index revealed that about 3.7% of the patients had to be reclassified into more correct categories of risk once apoB/apoA-1 was added to the adjustment factors. The reduction in risk by intensive lipid-lowering treatment as compared to usual-dose simvastatin was well predicted by the difference in apoB/apoA-1 on-treatment levels.
The on-treatment ratio of apoB/apoA-1 was the strongest predictor of HF in CHD patients of both IDEAL treatment arms combined, mostly driven by the strong association with apoA-1, whereas LDL-C and non-HDL-C were less able to predict HF outcome. The predictive information value contained within apoB/apoA-1 was about 2.2 times more than that of diabetes. Between-treatment group differences in HF were to a significant extent explained by on-treatment differences in apoB/apoA-1, mostly through the changes in apoB. We argue therefore, on-treatment lipoprotein components contribute to the overall future risk of HF in statin-treated patients with CHD.
极少有研究(如果有的话)评估载脂蛋白对他汀类药物治疗的冠心病(CHD)患者发生充血性心力衰竭(HF)的预测能力。
利用强化降脂降低终点事件(IDEAL)研究数据库,评估治疗期间脂蛋白成分与HF事件预测之间的关联,并将它们的预测价值与高血压和糖尿病等既定危险因素的预测价值进行比较。
我们使用Cox回归模型研究治疗期间载脂蛋白A1和B的水平与随后发生HF之间的关系。使用对数似然比的卡方信息值来比较脂蛋白成分与HF既定危险因素的预测价值。
在IDEAL研究中,治疗期间的载脂蛋白被证明与新发HF的发生有关。与低密度脂蛋白胆固醇(LDL-C)相关的变量携带的预测信息比与高密度脂蛋白胆固醇(HDL-C)相关的变量少,而载脂蛋白A-1是与HF最密切相关的单一变量。LDL-C的预测能力低于非HDL-C(总胆固醇减去HDL-C)和载脂蛋白B。在对潜在混杂因素进行调整后,载脂蛋白B与载脂蛋白A-1的比值与HF的相关性最强,其中糖尿病与HF的相关性比高血压更强。载脂蛋白B/载脂蛋白A-1的统计信息值比糖尿病大约多2.2倍。净重新分类改善指数的计算表明,一旦将载脂蛋白B/载脂蛋白A-1添加到调整因素中,约3.7%的患者必须重新分类到更准确的风险类别中。与常规剂量辛伐他汀相比,强化降脂治疗降低的风险可以通过治疗期间载脂蛋白B/载脂蛋白A-1水平的差异得到很好的预测。
在合并的IDEAL治疗组的CHD患者中,治疗期间载脂蛋白B/载脂蛋白A-1的比值是HF最强的预测指标,主要是由于与载脂蛋白A-1的强关联,而LDL-C和非HDL-C预测HF结局的能力较弱。载脂蛋白B/载脂蛋白A-1包含的预测信息值比糖尿病大约多2.2倍。HF治疗组间差异在很大程度上可以通过治疗期间载脂蛋白B/载脂蛋白A-1的差异来解释,主要是通过载脂蛋白B的变化。因此,我们认为,治疗期间的脂蛋白成分对他汀类药物治疗的CHD患者未来发生HF的总体风险有影响。