Adu Patrick, Bennin David, Edzie Richard Ato, Owusu-Poku Ama Gyasiwaah, Hakeem Toniah Umar, Baba Glory Obadiah, Edzie Emmanuel Kobina Mesi
Department of Medical Laboratory Sciences, School of Allied Health Sciences, University of Cape Coast, Cape Coast, Ghana.
Department of Radiology, School of Medical Sciences, University of Cape Coast, Cape Coast, Ghana.
Asian J Transfus Sci. 2020 Jul-Dec;14(2):149-157. doi: 10.4103/ajts.AJTS_112_18. Epub 2020 Dec 19.
Blood donation is frequently associated with iron deficiency. Although iron deficiency is endemic in Ghana, there is a scarcity of data on iron stores in blood donors to inform donor recruitment policy. This study determined the prevalence and factors predictive of depleted iron stores in blood donors.
This cross-sectional study recruited 287 blood donors from three regions in Ghana. Venous blood samples were collected for estimation of C-reactive protein, full blood count, and serum ferritin. Questionnaires were used to capture sociodemographic data. Data were analyzed using SPSS or GraphPad Prism. Multivariate logistic regression and receiver operator characteristics (ROC) analyses were, respectively, used to determine the factors associated with depleted iron stores or sensitivities of calculated red cell indices in predicting depleted iron stores in the participants.
Whereas 27.4% of the blood donors had depleted iron stores (ferritin <15 ng/dL), only 11% took iron supplementation. While ferritin levels significantly increased with age, 49.5% of the blood donors were aged 20-29 years. Whereas 39.5% of participants had never donated blood, 24.9% had donated ≥3 units of whole blood in the past 2 years. Female (adjusted odds ratio [aOR]: 7.407, = 0.005), multiple previous donations (1-2 [aOR: 1.846, = 0.431]; ≥3 [aOR: 6.297, = 0.016]), no iron supplementation (aOR: 17.553, = 0.078), or platelet count ≥150 × 10/L (aOR: 2.689, = 0.354) significantly associated with iron depletion. ROC analyses showed that whereas mean cell hemoglobin (MCH) density (area under the curve [AUC]: 0.735, < 0.01), MCH (AUC: 0.772, < 0.01) or Shine and Lal (AUC: 0.736, < 0.01) fairly predicted iron depletion, combined cell index (AUC: 0.660, < 0.01) or Green and King (AUC: 0.603, < 0.01) indices poorly predicted iron depletion.
More than quarter of voluntary blood donors suffers postdonation sideropenia. Calculated red cell indices should be investigated in different settings to validate usefulness in detecting iron depletion.
献血常与缺铁相关。尽管缺铁在加纳是地方病,但关于献血者铁储备的数据匮乏,难以据此制定献血者招募政策。本研究确定了献血者铁储备耗竭的患病率及预测因素。
这项横断面研究从加纳三个地区招募了287名献血者。采集静脉血样本以测定C反应蛋白、全血细胞计数和血清铁蛋白。使用问卷收集社会人口统计学数据。数据采用SPSS或GraphPad Prism进行分析。多因素逻辑回归和受试者工作特征(ROC)分析分别用于确定与铁储备耗竭相关的因素,或计算得出的红细胞指数在预测参与者铁储备耗竭方面的敏感性。
27.4%的献血者铁储备耗竭(铁蛋白<15 ng/dL),而只有11%的人补充铁剂。虽然铁蛋白水平随年龄显著升高,但49.5%的献血者年龄在20 - 29岁之间。39.5%的参与者从未献过血,24.9%的人在过去2年中捐献了≥3单位全血。女性(调整后的优势比[aOR]:7.407,P = 0.005)、既往多次献血(1 - 2次[aOR:1.846,P = 0.431];≥3次[aOR:6.297,P = 0.016])、未补充铁剂(aOR:17.553,P = 0.078)或血小板计数≥150×10⁹/L(aOR:2.689,P = 0.354)与铁耗竭显著相关。ROC分析表明,平均红细胞血红蛋白(MCH)密度(曲线下面积[AUC]:0.735,P < 0.01)、MCH(AUC:0.772,P < 0.01)或Shine和Lal指数(AUC:0.736,P < 0.01)对铁耗竭有较好的预测作用,而联合细胞指数(AUC:0.660,P < 0.01)或Green和King指数(AUC:0.603,P < 0.01)对铁耗竭的预测作用较差。
超过四分之一的自愿献血者在献血后出现缺铁性贫血。应在不同环境中研究计算得出的红细胞指数,以验证其在检测铁耗竭方面的有用性。