Prediction the Occurrence of Thalassemia With Hematological Phenotype by Diagnosis of Abnormal HbA1c.

IF 2.6 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Journal of Clinical Laboratory Analysis Pub Date : 2024-09-24 DOI:10.1002/jcla.25104
Yafang Wan, Yu Zhang, Tian Li, Shuyue Chen, Changchun Niu
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Abstract

Background: The current investigation aims to analyze the occurrence of thalassemia in patients who participated in hemoglobin A1c (HbA1c) testing in clinical laboratory showing high hemoglobin F (HbF) level (≥ 1.5%) or abnormal Hb peak and predict the main influence factors by using different statistical models.

Methods: The current investigation is a single-center retrospective cohort study. HbA1c concentration was detected by using TOSOH HLC-723G8 glycated hemoglobin analyzer. SNaPshot SNP (Single Nucleotide Polymorphism) typing and AccuCopy technology were employed to detect mutations in thalassemia-related pathogenic genes.

Results: A total of 126 patients endured high HbF levels or abnormal Hb peak during HbA1c detection, and 66.7% of subjects (n = 84) showed thalassemia mutations. Three heterozygosity mutations, including c.52A>T (p.K18*), c.-78A>G, and c.126_129delCTTT(p.F42Lfs*19) present in HBB gene, were also identified. --SEA/αα mutation demonstrated the youngest ages (p < 0.001). 17 M (p < 0.001) and 41/42 M (p < 0.01) mutations with β-thalassemia showed higher HbF levels compared with patients without thalassemia mutations. Except for -α3.7, mutations in thalassemia showed lower levels of mean corpuscular hemoglobin (MCH) and mean corpuscular volume (MCV) compared with patients without thalassemia mutations. Patients with thalassemia mutations showed younger age (p < 0.001), lower Hb (p < 0.001), MCV and MCH levels (p < 0.001), higher red blood cell (RBC) count (p < 0.001), and platelet distribution width (PDW) level (p = 0.007) than patients without thalassemia mutations. Three statistical models indicate MCV is the most valuable independent factor for predicting thalassemia and ROC (receiver operating characteristic) curves analysis of AUC (Area Under the Curve) of 0.855 (95% CI [0.787-0.923], p < 0.001) with MCV.

Conclusion: High HbF level (≥ 1.5%) or abnormal Hb peak present in HbA1c testing indicated high incident rate of thalassemia. MCV is the most valuable independent predicting factor for subjects having thalassemia.

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通过诊断异常 HbA1c 预测地中海贫血症的血液学表型。
研究背景本次调查旨在分析在临床实验室参加血红蛋白A1c(HbA1c)检测并显示血红蛋白F(HbF)水平高(≥1.5%)或Hb峰值异常的患者中地中海贫血的发生率,并通过不同的统计模型预测主要影响因素:本次调查是一项单中心回顾性队列研究。方法:本研究为单中心回顾性队列研究,使用 TOSOH HLC-723G8 糖化血红蛋白分析仪检测 HbA1c 浓度。采用 SNaPshot SNP(单核苷酸多态性)分型和 AccuCopy 技术检测地中海贫血相关致病基因的突变:结果:共有 126 名患者在检测 HbA1c 时出现 HbF 水平过高或 Hb 峰值异常,66.7% 的受试者(n = 84)出现地中海贫血基因突变。此外,还发现了三种杂合突变,包括 HBB 基因中的 c.52A>T (p.K18*)、c.-78A>G 和 c.126_129delCTTT(p.F42Lfs*19)。--与没有地中海贫血基因突变的患者相比,地中海贫血基因突变患者的平均血红蛋白(MCH)和平均血红蛋白容积(MCV)水平较低(p.3.7)。地中海贫血突变患者的年龄更小(p 结论:地中海贫血突变患者的年龄更小(p 结论:地中海贫血突变患者的年龄更小(p 结论):高 HbF 水平(≥ 1.5%)或 HbA1c 检测中出现异常 Hb 峰表明地中海贫血发病率高。MCV 是地中海贫血症患者最有价值的独立预测因素。
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来源期刊
Journal of Clinical Laboratory Analysis
Journal of Clinical Laboratory Analysis 医学-医学实验技术
CiteScore
5.60
自引率
7.40%
发文量
584
审稿时长
6-12 weeks
期刊介绍: Journal of Clinical Laboratory Analysis publishes original articles on newly developing modes of technology and laboratory assays, with emphasis on their application in current and future clinical laboratory testing. This includes reports from the following fields: immunochemistry and toxicology, hematology and hematopathology, immunopathology, molecular diagnostics, microbiology, genetic testing, immunohematology, and clinical chemistry.
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