Kotwal J, Saxena R, Choudhry V P, Dwivedi S N, Bhargava M
Department of Haematology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, India.
Natl Med J India. 1999 Nov-Dec;12(6):266-7.
Microcytosis is a common red cell change seen in anaemias of varied aetiology. These include iron deficiency, thalassaemia, chronic disease and sideroblastic anaemias. The microcytosis of heterozygous beta-thalassaemia needs to be distinguished from non-thalassaemic microcytosis for its role in thalassaemia control. Red cell indices derived from automated red cell analysers have been used to discriminate between microcytic patients with a high probability of thalassaemia minor from those with a low probability. There is a controversy on the choice of red cell indices to be used and the cut-off values for this distinction, because the prevalence of iron deficiency as a cause of non-thalassaemic microcytosis is variable. Since no Indian study using receiver operator characteristic (ROC) curves was available to determine the above, we conducted this study.
Red cell indices (mean corpuscular volume, total red blood cell count, red cell distribution width, linear discriminant function), serum iron, total iron binding capacity and haemoglobin A2 were estimated in 640 adults with microcytosis (mean corpuscular volume 80 fl). The ROC curves were plotted in all.
Total red blood cell count was observed to be the most efficient single test followed by linear discriminant function and Bessman index. Mean corpuscular volume had the least efficacy. The cut-off values obtained for the Indian population were mean corpuscular volume < or = 76 fl, total red blood cell count > or = 4.9 x 10(12)/L and red cell distribution width > or = 18% and a positive linear discriminant function. These were different from those observed in the West, possibly because of the high prevalence of iron deficiency in India.
In countries with a high prevalence of iron deficiency, cut-off values for red cell indices should be recalculated using ROC curves.
小红细胞症是多种病因所致贫血中常见的红细胞变化。这些病因包括缺铁、地中海贫血、慢性病和铁粒幼细胞性贫血。由于杂合子β地中海贫血的小红细胞症在控制地中海贫血方面的作用,需要将其与非地中海贫血性小红细胞症相区分。自动红细胞分析仪得出的红细胞指数已被用于区分轻型地中海贫血可能性高的小红细胞症患者和可能性低的患者。对于用于区分的红细胞指数的选择以及临界值存在争议,因为缺铁作为非地中海贫血性小红细胞症病因的患病率各不相同。由于尚无印度使用受试者工作特征(ROC)曲线的研究来确定上述内容,我们开展了本研究。
对640名平均红细胞体积(MCV)<80fl的小红细胞症成年患者进行红细胞指数(平均红细胞体积、总红细胞计数、红细胞分布宽度、线性判别函数)、血清铁、总铁结合力和血红蛋白A2的评估。绘制了所有受试者的ROC曲线。
观察到总红细胞计数是最有效的单项检测,其次是线性判别函数和贝斯曼指数。平均红细胞体积的效能最低。印度人群得出的临界值为平均红细胞体积≤76fl、总红细胞计数≥4.9×10¹²/L、红细胞分布宽度≥18%以及线性判别函数为阳性。这些与西方观察到的不同,可能是因为印度缺铁的患病率较高。
在缺铁患病率高的国家,应使用ROC曲线重新计算红细胞指数的临界值。