PDF(Pubmed)
Abstract：
UNASSIGNED: Thalassemia is an inherited blood disorder with a defect in the sufficient production of a protein called hemoglobin. We aimed to investigate the simple blood indices of patients with Beta Thalassemia Trait (BTT) and Iron Deficiency Anemia (IDA) to propose a new formula using logistic regression for differentiate two characteristics from each other.
UNASSIGNED: Among the 702 records of the BTT Counseling Center (Khoy, Iran-2022), 292 cases (219 iron deficiency anemia (IDA) and 73 BTT) were eligible for the study. Blood indices such as RBC, HGB, HbA2 described and used to diagnose two types of participants. Blood indices had high multicollinearity that was modified. Logistic regression for blood indices fitted and goodness of fit indices with Area Under ROC curve (AUC) estimated.
UNASSIGNED: The average age of the participants was 24.56 yr. The status of Multicollinearity between independent variables was modified. The HGB, MCV, HbA2, and HbA variables were used in the model and only HbA2 status was significant (P<0.001). According to the output of the model, for each unit increase in HbA2, the chance of having BTT was about 8.5 times higher than IDA. The sensitivity, specificity, AUC curve, and accuracy of the final model were estimated to be 97, 72, 84, and 93%, respectively. A regression formula to differentiate BTT from IDA proposed.
UNASSIGNED: In studies related to the differentiation of the BTT from IDA, the presence of the HbA2 index in the model and prediction is very necessary.
UNASSIGNED: Among the 702 records of the BTT Counseling Center (Khoy, Iran-2022), 292 cases (219 iron deficiency anemia (IDA) and 73 BTT) were eligible for the study. Blood indices such as RBC, HGB, HbA2 described and used to diagnose two types of participants. Blood indices had high multicollinearity that was modified. Logistic regression for blood indices fitted and goodness of fit indices with Area Under ROC curve (AUC) estimated.
UNASSIGNED: The average age of the participants was 24.56 yr. The status of Multicollinearity between independent variables was modified. The HGB, MCV, HbA2, and HbA variables were used in the model and only HbA2 status was significant (P<0.001). According to the output of the model, for each unit increase in HbA2, the chance of having BTT was about 8.5 times higher than IDA. The sensitivity, specificity, AUC curve, and accuracy of the final model were estimated to be 97, 72, 84, and 93%, respectively. A regression formula to differentiate BTT from IDA proposed.
UNASSIGNED: In studies related to the differentiation of the BTT from IDA, the presence of the HbA2 index in the model and prediction is very necessary.
摘要：
■地中海贫血是一种遗传性血液疾病，在一种称为血红蛋白的蛋白质的足够生产方面存在缺陷。我们旨在研究β地中海贫血（BTT）和缺铁性贫血（IDA）患者的简单血液指标，以提出使用逻辑回归来区分两种特征的新公式。
■在BTT咨询中心的702条记录中（Khoy，伊朗-2022)，292例（219例缺铁性贫血（IDA）和73例BTT）符合研究条件。红细胞等血液指标,HGB,HbA2描述并用于诊断两种类型的参与者。血液指标具有高度的多重共线性，并进行了修改。用ROC曲线下面积(AUC)估计的血液指标拟合和拟合优度指数的逻辑回归。
■参与者的平均年龄为24.56岁。修改了自变量之间的多重共线性状态。HGB,MCV,模型中使用HbA2和HbA变量，仅HbA2状态显着（P<0.001）。根据模型的输出，HbA2每增加一个单位，患BTT的机会比IDA高约8.5倍。敏感性,特异性，AUC曲线,最终模型的准确度估计为97、72、84和93%，分别。提出了区分BTT和IDA的回归公式。
■在有关BTT与IDA的区别的研究中，HbA2指数在模型和预测中的存在是非常必要的。
■在BTT咨询中心的702条记录中（Khoy，伊朗-2022)，292例（219例缺铁性贫血（IDA）和73例BTT）符合研究条件。红细胞等血液指标,HGB,HbA2描述并用于诊断两种类型的参与者。血液指标具有高度的多重共线性，并进行了修改。用ROC曲线下面积(AUC)估计的血液指标拟合和拟合优度指数的逻辑回归。
■参与者的平均年龄为24.56岁。修改了自变量之间的多重共线性状态。HGB,MCV,模型中使用HbA2和HbA变量，仅HbA2状态显着（P<0.001）。根据模型的输出，HbA2每增加一个单位，患BTT的机会比IDA高约8.5倍。敏感性,特异性，AUC曲线,最终模型的准确度估计为97、72、84和93%，分别。提出了区分BTT和IDA的回归公式。
■在有关BTT与IDA的区别的研究中，HbA2指数在模型和预测中的存在是非常必要的。
