Alquaiz J M, Abdulghani H M, Khawaja R A, Shaffi-Ahamed S
Department of Family and Community Medicine, King Khalid University Hospital, King Saud University, College of Medicine, Riyadh, Saudi Arabia ; Chai of Princess Nora for Women's Health Research, King Khalid University Hospital, King Saud University, College of Medicine, Riyadh, Saudi Arabia.
Iran Red Crescent Med J. 2012 Jul;14(7):397-401. Epub 2012 Jul 30.
Iron deficiency is still considered the most common nutritional deficiency worldwide and the most significant negative consequence of iron deficiency is iron deficiency anemia (IDA). This study elucidates if IDA among healthy women of child bearing age could be predicted by various iron parameters, using serum ferritin as a gold standard.
Between January and June 2009 at primary care clinics of a teaching hospital in Saudi Arabia, 112 anemic (Hemoglobin = 120 g/l) subjects participated in the study. Mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), serum ferritin, and hemoglobin electrophoresis were obtained from all participants. Receiver operator characteristic (ROC) curves were used to assess the accuracy of various iron parameters.
With respect to the serum ferritin, the best predictive cut-off value of MCV, MCH and RDW at the most optimal were 76 fl (ROC curve=0.768), 24 Pg (ROC curve=0.72) and 16.1% (ROC curve=0.711), respectively. MCHC was not significant in predicting the iron deficiency in these patients.
IDA can be predicted among women of child bearing age using complete blood count test. MCV, MCH and RDW are the iron parameters of complete blood count test, which is a cost effective, easily accessible and could be useful tool in areas with limited resources and a high prevalence of the disease.
缺铁仍然被认为是全球最常见的营养缺乏症，缺铁最严重的负面后果是缺铁性贫血（IDA）。本研究以血清铁蛋白为金标准，阐明是否可以通过各种铁参数预测育龄健康女性中的IDA。
2009年1月至6月期间，在沙特阿拉伯一家教学医院的初级保健诊所，112名贫血（血红蛋白 = 120 g/l）受试者参与了该研究。从所有参与者中获取平均红细胞体积（MCV）、平均红细胞血红蛋白（MCH）、平均红细胞血红蛋白浓度（MCHC）、红细胞分布宽度（RDW）、血清铁蛋白和血红蛋白电泳结果。采用受试者工作特征（ROC）曲线评估各种铁参数的准确性。
就血清铁蛋白而言，MCV、MCH和RDW在最优化时的最佳预测临界值分别为76 fl（ROC曲线 = 0.768）、24 Pg（ROC曲线 = 0.72）和16.1%（ROC曲线 = 0.711）。MCHC在预测这些患者的缺铁情况时不具有显著性。
使用全血细胞计数检查可以预测育龄女性中的IDA。MCV、MCH和RDW是全血细胞计数检查中的铁参数，在资源有限且该病患病率高的地区，这是一种经济高效、易于获取且可能有用的工具。
