Identification of Auto and Alloantibodies in Patients with Hereditary Haemolyticanaemia (HHA)

Introduction: Hereditary hemolytic anemia (HHA) is a group of rare and varied illnesses caused by anomalies in the metabolism of plasma membranes and/or red blood cells (RBCs), which lead to the premature lysis or clearance of these cells. In Bangladesh, data regarding red cell antibodies (allo as well as autoantibodies) in multiple transfused patients is insufficient. Therefore, this study aimed to identify the auto and alloantibodies among transfused patients with HHA. Methods: This cross-sectional study was conducted in the Department of Immunology, BIRDEM and Armed Forces Institute of Pathology (AFIP), Dhaka Cantonment, Dhaka, Bangladesh for one year period. A total of 300 patients were included with HHA according to selection criteria. Results: Among 300 patients, the majority (35.67%) of them were in the age group 1-10 years. Of all patients 186(62%) were male, and 114(38%) were female. Rh was positive in 96.67% of patients and only 10(3.33%) patients were Rh-negative. In HHA patients, the age of the first transfusion was 3.09±4.89 years. The number of blood units transfused was 75.70±89.03. The antibody was detected in 12(4.0%) patients with HHA. Among HHA patients, only auto-antibody, only alloantibody, or both were detected in 2(0.67%), 6(2.0%), and 4(1.33%) patients respectively. Conclusion: In our study, we found that 4.00% of the subjects have antibodies. The majority of the alloantibodies were anti-E, anti-C, and anti-Kell, which are part of the Rh system. The majority of the autoantibodies were IgG.

Authors

Publication Details

Journal
Scholars Journal of Applied Medical Sciences
Published
2024-12-10
DOI
https://doi.org/10.36347/sjams.2024.v12i12.012
Primary Topic
Blood properties and coagulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Auto and Alloantibodies in Patients with Hereditary Haemolyticanaemia (HHA)

Ashutosh Sarker, Md Moniruzzaman, Mansura Khan, Sanzida Akter et al.
Scholars Journal of Applied Medical Sciences
Blood properties and coagulation
article

Identification of Auto and Alloantibodies in Patients with Hereditary Haemolyticanaemia (HHA)

Ashutosh Sarker, Md Moniruzzaman, Mansura Khan, Sanzida Akter, Mehraj Mahjabeen Mahmud
article en

Abstract

Introduction: Hereditary hemolytic anemia (HHA) is a group of rare and varied illnesses caused by anomalies in the metabolism of plasma membranes and/or red blood cells (RBCs), which lead to the premature lysis or clearance of these cells. In Bangladesh, data regarding red cell antibodies (allo as well as autoantibodies) in multiple transfused patients is insufficient. Therefore, this study aimed to identify the auto and alloantibodies among transfused patients with HHA. Methods: This cross-sectional study was conducted in the Department of Immunology, BIRDEM and Armed Forces Institute of Pathology (AFIP), Dhaka Cantonment, Dhaka, Bangladesh for one year period. A total of 300 patients were included with HHA according to selection criteria. Results: Among 300 patients, the majority (35.67%) of them were in the age group 1-10 years. Of all patients 186(62%) were male, and 114(38%) were female. Rh was positive in 96.67% of patients and only 10(3.33%) patients were Rh-negative. In HHA patients, the age of the first transfusion was 3.09±4.89 years. The number of blood units transfused was 75.70±89.03. The antibody was detected in 12(4.0%) patients with HHA. Among HHA patients, only auto-antibody, only alloantibody, or both were detected in 2(0.67%), 6(2.0%), and 4(1.33%) patients respectively. Conclusion: In our study, we found that 4.00% of the subjects have antibodies. The majority of the alloantibodies were anti-E, anti-C, and anti-Kell, which are part of the Rh system. The majority of the autoantibodies were IgG.

Scholars Journal of Applied Medical SciencesVol. 12(12)
Good health and well-being
Openalex Percentile: Top 58%
Blood properties and coagulation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.