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Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis
BACKGROUND: Haemoglobinopathies are one of the most common inherited diseases worldwide. Quantification of haemoglobin A(2) is necessary for the diagnosis of the beta thalassaemia trait. In this context, it is important to have a reliable reference interval for haemoglobin A(2) and a local reference...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AOSIS
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453124/ https://www.ncbi.nlm.nih.gov/pubmed/36091349 http://dx.doi.org/10.4102/ajlm.v11i1.1841 |
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author | Nieuwenhuizen, Cailin Netshidzivhani, Tshiphiri Potgieter, Johan |
author_facet | Nieuwenhuizen, Cailin Netshidzivhani, Tshiphiri Potgieter, Johan |
author_sort | Nieuwenhuizen, Cailin |
collection | PubMed |
description | BACKGROUND: Haemoglobinopathies are one of the most common inherited diseases worldwide. Quantification of haemoglobin A(2) is necessary for the diagnosis of the beta thalassaemia trait. In this context, it is important to have a reliable reference interval for haemoglobin A(2) and a local reference range for South Africa has not been established. OBJECTIVE: This study aimed to establish reference intervals for haemoglobin A(2) using stored patient laboratory data. METHODS: This descriptive study used retrospective data to evaluate haemoglobin A(2) levels determined using high-performance liquid chromatography at the National Health Laboratory Service haematology laboratory in Pretoria, South Africa. All tests performed from 01 October 2012 to 31 December 2020 were screened for inclusion; of these, 144 patients’ data met the selection criteria. The reference interval was calculated using descriptive statistics (mean and standard deviation) with a 95% confidence interval. RESULTS: Analysed data from enrolled patients showed a normal distribution. The mean age of the patients was 40 years (range: 3–84 years). The reference interval for haemoglobin A(2) calculated from this data was 2.3% – 3.6%. The minimum haemoglobin A(2) was 2.3% and the maximum was 3.9% with a mean of 2.95% and a standard deviation of 0.357%. CONCLUSION: A normal reference interval has been established for the population served by the laboratory that will assist with accurate diagnosis of the beta thalassaemia trait. This reference interval may also be useful to other laboratories that employ the same technology, especially smaller laboratories where obtaining a sufficiently large number of normal controls may be challenging. |
format | Online Article Text |
id | pubmed-9453124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AOSIS |
record_format | MEDLINE/PubMed |
spelling | pubmed-94531242022-09-09 Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis Nieuwenhuizen, Cailin Netshidzivhani, Tshiphiri Potgieter, Johan Afr J Lab Med Original Research BACKGROUND: Haemoglobinopathies are one of the most common inherited diseases worldwide. Quantification of haemoglobin A(2) is necessary for the diagnosis of the beta thalassaemia trait. In this context, it is important to have a reliable reference interval for haemoglobin A(2) and a local reference range for South Africa has not been established. OBJECTIVE: This study aimed to establish reference intervals for haemoglobin A(2) using stored patient laboratory data. METHODS: This descriptive study used retrospective data to evaluate haemoglobin A(2) levels determined using high-performance liquid chromatography at the National Health Laboratory Service haematology laboratory in Pretoria, South Africa. All tests performed from 01 October 2012 to 31 December 2020 were screened for inclusion; of these, 144 patients’ data met the selection criteria. The reference interval was calculated using descriptive statistics (mean and standard deviation) with a 95% confidence interval. RESULTS: Analysed data from enrolled patients showed a normal distribution. The mean age of the patients was 40 years (range: 3–84 years). The reference interval for haemoglobin A(2) calculated from this data was 2.3% – 3.6%. The minimum haemoglobin A(2) was 2.3% and the maximum was 3.9% with a mean of 2.95% and a standard deviation of 0.357%. CONCLUSION: A normal reference interval has been established for the population served by the laboratory that will assist with accurate diagnosis of the beta thalassaemia trait. This reference interval may also be useful to other laboratories that employ the same technology, especially smaller laboratories where obtaining a sufficiently large number of normal controls may be challenging. AOSIS 2022-08-12 /pmc/articles/PMC9453124/ /pubmed/36091349 http://dx.doi.org/10.4102/ajlm.v11i1.1841 Text en © 2022. The Authors https://creativecommons.org/licenses/by/4.0/Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License. |
spellingShingle | Original Research Nieuwenhuizen, Cailin Netshidzivhani, Tshiphiri Potgieter, Johan Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title | Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title_full | Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title_fullStr | Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title_full_unstemmed | Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title_short | Establishment of haemoglobin A(2) reference intervals in Pretoria, South Africa: A retrospective secondary data analysis |
title_sort | establishment of haemoglobin a(2) reference intervals in pretoria, south africa: a retrospective secondary data analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453124/ https://www.ncbi.nlm.nih.gov/pubmed/36091349 http://dx.doi.org/10.4102/ajlm.v11i1.1841 |
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