Brink S, van Schalkwyk D J
S Afr Med J. 1982 Mar 20;61(12):432-4.
The prognostic value of serum ferritin (SF) as a predictor of bone marrow iron stores (BMS) was evaluated in an attempt to use SF and other readily available clinical and laboratory parameters in the more accurate prediction of BMS without bone marrow aspiration. The results of routine haematological studies of 1000 patients referred for a bone marrow examination as part of their diagnostic evaluation at Tygerberg Hospital were statistically analysed. Significant associations were found. The CHAID programme of automatic interaction detection as developed by Kass was used to determine the optimum classification. A statistical model in the form of a dendrogram has been computed for this hospital population and this laboratory for future predictions of BMS using only the values for SF and mean corpuscular volume. The predictions were statistically very highly significant, especially in patients with iron deficiencies.
为了在不进行骨髓穿刺的情况下，利用血清铁蛋白（SF）及其他易于获得的临床和实验室参数更准确地预测骨髓铁储备（BMS），对血清铁蛋白作为骨髓铁储备预测指标的预后价值进行了评估。对泰格堡医院1000例因诊断评估而接受骨髓检查的患者的常规血液学研究结果进行了统计分析。发现了显著关联。使用Kass开发的自动交互检测CHAID程序来确定最佳分类。已为该医院人群和该实验室计算了以树状图形式呈现的统计模型，以便未来仅使用SF值和平均红细胞体积来预测BMS。这些预测在统计学上具有非常高度的显著性，尤其是在缺铁患者中。
