Groth T L, Ljunghall S, de Verdier C H
Scand J Clin Lab Invest. 1983 Dec;43(8):699-707.
The conventional upper 95 percentile references limit of serum calcium does not necessarily constitute an optimal decision limit in screening for patients with hyperparathyroidism. The design of optimal screening procedures has to consider (a) the prevalence of disease; (b) the relative importance of making correct classifications of patients; and (c) the influence of analytical imprecision and inaccuracy. Based on serum calcium determinations from three reference sample groups (healthy individuals, patients with hyperparathyroidism, and patients with hypercalcaemia due to malignant disease) optimal decision limits were calculated for different screening situations. Optimum was defined in terms of estimated 'costs' due to misclassification. Different values for disease prevalence were used, as well as different weighting factors reflecting the importance related to correct classification of healthy and pathological patients. For a disease prevalence of 5% the optimal decision limit varies between 2.59 and 2.65 mmol/l for a weighting ratio false positives to false negatives of between 1:5 to 5:1. For a prevalence of 0.1% the corresponding range was 2.67-2.72 mmol/l. Compared to classification on the basis of the conventional upper reference limit, the application of optimal decision limits means significantly lower costs due to misclassification. Analytical bias then has to be kept stable within +/- 0.01 mmol/l. Inter-laboratory analytical variation also has to be reduced to the same level in order to make it possible to transfer reference values, decision limits and single patient values to other laboratories.
血清钙的传统上95百分位数参考限值不一定构成甲状旁腺功能亢进症患者筛查中的最佳判定限值。最佳筛查程序的设计必须考虑:(a)疾病的患病率;(b)对患者进行正确分类的相对重要性;以及(c)分析不精密度和不准确的影响。基于来自三个参考样本组(健康个体、甲状旁腺功能亢进症患者以及因恶性疾病导致高钙血症的患者)的血清钙测定结果,针对不同的筛查情况计算了最佳判定限值。最佳值是根据误分类导致的估计“成本”来定义的。使用了不同的疾病患病率值,以及反映与健康和患病患者正确分类相关重要性的不同加权因子。对于5%的疾病患病率,当假阳性与假阴性的加权比在1:5至5:1之间时,最佳判定限值在2.59至2.65毫摩尔/升之间变化。对于0.1%的患病率,相应范围为2.67 - 2.72毫摩尔/升。与基于传统上参考限值进行分类相比,应用最佳判定限值意味着因误分类导致的成本显著降低。然后分析偏差必须保持在±0.01毫摩尔/升以内稳定。实验室间分析变异也必须降低到相同水平,以便能够将参考值、判定限值和单个患者值转移到其他实验室。