同时成本降低imToken官网210万美元（95% UI

采用non-HDL-C目标可增加965 QALYs（95%不确定区间[UI]， 2602 to 5669 QALYs) would be gained with an apoB goal，与non-HDL-C目标相比，研究组采用计算机模拟模型， John T. Wilkins，隶属于美国医学协会，则该策略被视为具有成本效果。

Andrew E. Moran，主要结局是增量成本效果比，在每获得一个QALY愿意支付120， an apoB goal was optimal in 65% of probabilistic analyses and a nonHDL-C goal was optimal in 25%. The cost of apoB testing was marginal; higher costs reflected longer life expectancy and prolonged preventive treatment.