SUMMARY ESTIMATES OF CHOLESTEROL USED TO PREDICT CORONARY HEART-DISEASE

SUMMARY ESTIMATES OF CHOLESTEROL USED TO PREDICT CORONARY HEART-DISEASE
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DOI:
10.1161/01.cir.67.4.730
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发表时间:
1983-01-01
期刊:
影响因子:
37.8
通讯作者:
MCNAMARA, PM
MCNAMARA, PM
中科院分区:
医学1区
文献类型:
--
作者:
CASTELLI, WP;ABBOTT, RD;MCNAMARA, PM

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总胆固醇和单个脂蛋白类别中胆固醇的比例与[人类]冠心病的关系很复杂。为了帮助简化这些关系,胆固醇值通常合并为 1 个汇总估计值,以形成一个与疾病关系更容易描述的单一风险因素。尽管汇总估计可以方便地表达胆固醇与冠心病的关系,但忽略构成这些估计的胆固醇的联合配置可能会牺牲信息。研究了总胆固醇与高密度脂蛋白胆固醇的比率以及低密度脂蛋白胆固醇与高密度脂蛋白胆固醇的比率的这种可能性的程度。显然,总结估计是结合胆固醇信息的有用表达方式,并且是冠心病的强有力的预测因子。选择使用汇总估计进行筛查的临床医生应该认识到,单一比率估计并不总是像构成估计的胆固醇的联合配置那样提供信息。这种可能性在低密度脂蛋白胆固醇与高密度脂蛋白胆固醇的比率上表现得最为明显,并且随着探索脂蛋白胆固醇关系的能力的提高,这种可能性在未来的研究中可能会变得更加明显。
The relationship of total cholesterol and the proportion of cholesterol in individual lipoprotein classes to coronary heart disease [in humans] are complex. To help simplify these relationships, cholesterol values are often combined into 1 summary estimate to form a single risk factor with a relationship to the disease that is more easily described. Although summary estimates result in convenient expressions relating cholesterols to coronary heart disease, there is the potential for sacrificing information by ignoring the joint configuration of cholesterols that make up these estimates. The extent of this possibility for the ratio of total cholesterol to high-density lipoprotein cholesterol and the ratio of low-density lipoprotein cholesterol to high-density lipoprotein cholesterol was investigated. Apparently, the summary estimates are useful expressions for combining cholesterol information and are strong predictors of coronary heart disease. Clinicians who choose to use a summary estimate for screening purposes should recognize that a single ratio estimate is not always as informative as the joint configuration of the cholesterols that make up the estimate. This possibility is most clearly exhibited for the ratio of low-density lipoprotein cholestrol to high-density lipoprotein cholesterol, and it may become more apparent in future studies as the capabilities of exploring lipoprotein cholesterol relationships improve.