scholarly journals DISCREPANCY BETWEEN HAEMOGLOBIN, RDW, AND MEAN CORPUSCULAR VALUES IN PATIENTS WITH BETA THALASSEMIA / HEMOGLOBIN E DISEASE AND BETA THALASSEMIA TRAIT

2019 ◽  
Vol 25 (3) ◽  
pp. 343
Author(s):  
Vinisia Setiadji ◽  
Bidasari Lubis ◽  
Adi Koesoema Aman ◽  
Herman Hariman
Keyword(s):  
Beta Thalassemia ◽  
Hemoglobin E ◽  
Thalassemia Trait ◽  
Hemoglobin E Disease

Thalassemia beta / hemoglobin E adalah suatu kondisi dengan heterozigot ganda gen pembawa thalassemia beta dan hemoglobin E. Hal ini menyebabkan kondisi dengan gambaran fenotip yang berat dibandingkan trait thalassemia beta dan trait hemoglobin E. Secara logika, nilai mean corpuscular dari thalassemia beta / hemoglobin E seharusnya memburuk. Pada penelitian ini, kami meneliti sebelas kasus dari dua keluarga dengan anggota menderita thalassemia beta / hemoglobin E.Pada keluarga-1 dua anggota dengan trait thalassemia beta memiliki nilai MCV 68 fL dan 65 fL, dan nilai MCH 21 pg dan 20 pg. Pada keluarga-2 anggota dengan trait thalassemia beta memiliki nilai MCV 60,2 fL dan MCH 18,8 pg. Anak perempuan dari kedua keluarga dengan thalassemia beta / hemoglobin E memiliki nilai mean ± SD MCV 70,8 ± 4,9 fL dan MCH 22.8 ± 2.3 pg, nilai ini signifikan lebih tinggi daripada trait thalassemia beta (p<0.05). Terdapat perbedaan yang signifikan antara nilai hemoglobin dan RDW antara thalassemia beta / hemoglobin E (p=0.001).Kami juga menemukan bahwa nilai MC dari keadaan post-transfusi signifikan lebih tinggi daripada pre-transfusi (p<0.001)Kami menyimpulkan bahwa nilai MC dari thalassemia beta / hemoglobin E secara persisten lebih tinggi daripada trait thalassemia beta. Peran transfusi darah pada pasien dengan thalassemia beta / hemoglobin E tampak memainkan peran dalam diskrepansi pada kasus ini.

Outcomes of pregnancies complicated by beta-thalassemia/hemoglobin E disease

2008 ◽  
Vol 104 (3) ◽  
pp. 203-205 ◽  
Author(s):  
Suchaya Luewan ◽  
Kasemsri Srisupundit ◽  
Theera Tongsong
Keyword(s):  
Beta Thalassemia ◽  
Hemoglobin E ◽  
Hemoglobin E Disease

scholarly journals Prevalence of thalassemia and hemoglobinopathy in antenatal mothers with relation to complete hemogram and high performance liquid chromatography-a hospital based study of Eastern India

2018 ◽  
Vol 6 (3) ◽  
pp. 928
Author(s):  
Anadi Roy Chowdhury ◽  
Manas Talukdar
Keyword(s):  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
High Performance ◽  
Hypochromic Anemia ◽  
Reproductive Age ◽  
Deficiency Anemia ◽  
Beta Thalassemia ◽  
Hemoglobin E ◽  
Thalassemia Trait ◽  
Cell Counter

Background: Iron deficiency anemia (IDA) and Beta thalassemia (BT) are two most common causes of microcytic hypochromic anemia in our country affecting the reproductive age group. It is important to discriminate between these two entities to prevent treatment with iron of individuals with thalassemia trait as well as prevent homozygous transmission of B thalassemia trait (BTT). Aim of the study was to investigate causes of microcytic anemia in antenatal mothers and to find out the role of Cell Counter and High Performance Liquid Chromatography (HPLC) so as to screen BTT and other hemoglobinopathies.Methods: This study was done over a period of six months (May 2017 to October 2017) in the Department of Pathology in R. G. Kar Medical College. We analyzed the blood samples of all antenatal mothers attending Department of Pathology for blood tests and a complete hemogram and hemoglobin A2 (Hb A2) quantitation was done.Results: Total cases evaluated were 2200 of which 442 patients were found to have microcytic hypochromic anemia (MCV<80%, MCH<27). Rest that is 1758 was normal. Of 442 cases of microcytic hypochromic anemia, 205 were found to have IDA, 115 BTT, 112 E trait, 1 case each of Hemoglobin E disease, E-Beta thalassemia and hereditary persistence of fetal hemoglobin (HPFH). Hemoglobinopathies like S trait and Hemoglobin J (Hb J) was found in 4 and 3 cases respectively.Conclusions: In India, Microcytic hypochromic anemia is common and may be due to IDA, BTT or other hemoglobinopathies Cell counter-based parameters and formulas, along with HPLC can be an effective method of thalassemia screening in a society. 

scholarly journals Clinical utility of combined preimplantation genetic testing methods in couples at risk of passing on beta thalassemia/hemoglobin E disease: A retrospective review from a single center

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0225457 ◽  
Author(s):  
Chonthicha Satirapod ◽  
Matchuporn Sukprasert ◽  
Bhakbhoom Panthan ◽  
Angkana Charoenyingwattana ◽  
Pawares Chitayanan ◽  
...  
Keyword(s):  
At Risk ◽  
Genetic Testing ◽  
Retrospective Review ◽  
Clinical Utility ◽  
Beta Thalassemia ◽  
Single Center ◽  
Testing Methods ◽  
Preimplantation Genetic Testing ◽  
Hemoglobin E ◽  
Hemoglobin E Disease

scholarly journals Cerebral thrombosis in beta-thalassemia/hemoglobin E disease.

Stroke ◽  
1990 ◽  
Vol 21 (5) ◽  
pp. 812-816 ◽  
Author(s):  
V Wong ◽  
Y L Yu ◽  
R H Liang ◽  
W K Tso ◽  
A M Li ◽  
...  
Keyword(s):  
Beta Thalassemia ◽  
Cerebral Thrombosis ◽  
Hemoglobin E ◽  
Hemoglobin E Disease

scholarly journals Benefits of chronic blood transfusion in hemoglobin E/β thalassemia with pulmonary arterial hypertension

2014 ◽  
pp. 411 ◽  
Author(s):  
Nonlawan Chueamuangphan ◽  
Jayanton Patumanond ◽  
Wattana Wongtheptien ◽  
Weerasak Nawarawong ◽  
Apichard Sukornthasarn ◽  
...  
Keyword(s):  
Pulmonary Arterial Hypertension ◽  
Blood Transfusion ◽  
Arterial Hypertension ◽  
Beta Thalassemia ◽  
Hemoglobin E ◽  
Pulmonary Arterial

scholarly journals Hemoglobin E disease and glycosylated hemoglobin

2015 ◽  
Vol 19 (5) ◽  
pp. 683 ◽  
Author(s):  
MohammadShafi Kuchay ◽  
Ambrish Mithal ◽  
Niharika Yedla
Keyword(s):  
Glycosylated Hemoglobin ◽  
Hemoglobin E ◽  
Hemoglobin E Disease

scholarly journals Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis of β-Thalassemia Trait from Iron Deficiency Anemia

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Mina Jahangiri ◽  
Fakher Rahim ◽  
Najmaldin Saki ◽  
Amal Saki Malehi
Keyword(s):  
Differential Diagnosis ◽  
Iron Deficiency ◽  
Iron Deficiency Anemia ◽  
Hematological Parameters ◽  
False Positive Rate ◽  
Deficiency Anemia ◽  
Beta Thalassemia ◽  
Bayesian Tree ◽  
Thalassemia Trait ◽  
Cart Algorithm

Objective. Several discriminating techniques have been proposed to discriminate between β-thalassemia trait (βTT) and iron deficiency anemia (IDA). These discrimination techniques are essential clinically, but they are challenging and typically difficult. This study is the first application of the Bayesian tree-based method for differential diagnosis of βTT from IDA. Method. This cross-sectional study included 907 patients with ages over 18 years old and a mean (±SD) age of 25 ± 16.1 with either βTT or IDA. Hematological parameters were measured using a Sysmex KX-21 automated hematology analyzer. Bayesian Logit Treed (BLTREED) and Classification and Regression Trees (CART) were implemented to discriminate βTT from IDA based on the hematological parameters. Results. This study proposes an automatic detection model of beta-thalassemia carriers based on a Bayesian tree-based method. The BLTREED model and CART showed that mean corpuscular volume (MCV) was the main predictor in diagnostic discrimination. According to the test dataset, CART indicated higher sensitivity and negative predictive value than BLTREED for differential diagnosis of βTT from IDA. However, the CART algorithm had a high false-positive rate. Overall, the BLTREED model showed better performance concerning the area under the curve (AUC). Conclusions. The BLTREED model showed excellent diagnostic accuracy for differentiating βTT from IDA. In addition, understanding tree-based methods are easy and do not need statistical experience. Thus, it can help physicians in making the right clinical decision. So, the proposed model could support medical decisions in the differential diagnosis of βTT from IDA to avoid much more expensive, time-consuming laboratory tests, especially in countries with limited recourses or poor health services.

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