Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2022
A multivariate analysis of the risk of iron deficiency in plateletpheresis donors based on logistic regression.
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Li Chunyan, Feng Qing, Zhang Jun, Xie Xinyou
Аннотация
BACKGROUND: The purpose of this study was to analyze the application of individual factors, blood cell related indicators, and blood donation frequency in predicting the risk of iron deficiency of plateletpheresis donors.
METHODS: A total of 801 plateletpheresis donors were included in this study. The relationship between risk factors and iron deficiency was retrospectively analyzed by univariate analysis and logistic regression analysis. The application of Hb, MCHC, RDW-CV and blood donation frequency combined prediction of iron deficiency risk among plateletpheresis donors was evaluated.
RESULT: The rate of iron deficiency in this study was 31.5 % (241/766). The age, gender (the ratio of male donors), red blood cell related indicators, blood donation frequency were statistically different between the normal and iron deficiency group (all P < 0.05). Age, gender, the reciprocal of Hb and MCHC, RDW-CV, total number of blood donation and number of plateletpheresis donation in the past year, these indicators to predict the risk of iron deficiency area under the curve (AUC) were 0.558, 0.672, 0.785, 0.717, 0.599, 0.621, 0.646, respectively. The AUC of these indicators combined to predict the risk of iron deficiency was 0.877, higher than all single indicators. The sensitivity and specificity of these indicators combined in prediction of iron deficiency were 88.89 % and 81.57 %, respectively.
CONCLUSION: Age, gender, the reciprocal of Hb and MCHC, RDV-CV, blood donation frequency are associated with the risk of iron deficiency in plateletpheresis donors. The combination of these indicators has high value in predicting the risk of iron deficiency.
METHODS: A total of 801 plateletpheresis donors were included in this study. The relationship between risk factors and iron deficiency was retrospectively analyzed by univariate analysis and logistic regression analysis. The application of Hb, MCHC, RDW-CV and blood donation frequency combined prediction of iron deficiency risk among plateletpheresis donors was evaluated.
RESULT: The rate of iron deficiency in this study was 31.5 % (241/766). The age, gender (the ratio of male donors), red blood cell related indicators, blood donation frequency were statistically different between the normal and iron deficiency group (all P < 0.05). Age, gender, the reciprocal of Hb and MCHC, RDW-CV, total number of blood donation and number of plateletpheresis donation in the past year, these indicators to predict the risk of iron deficiency area under the curve (AUC) were 0.558, 0.672, 0.785, 0.717, 0.599, 0.621, 0.646, respectively. The AUC of these indicators combined to predict the risk of iron deficiency was 0.877, higher than all single indicators. The sensitivity and specificity of these indicators combined in prediction of iron deficiency were 88.89 % and 81.57 %, respectively.
CONCLUSION: Age, gender, the reciprocal of Hb and MCHC, RDV-CV, blood donation frequency are associated with the risk of iron deficiency in plateletpheresis donors. The combination of these indicators has high value in predicting the risk of iron deficiency.