Evaluation of high performance liquid chromatography (HPLC) pattern and prevalence of beta-thalassaemia trait among sickle cell disease patients in Lagos, Nigeria

Adeyemo, Titilope A.; Ojewunmi, Oyesola; Oyetunji, Ajoke Idayat

doi:10.11604/pamj.2014.18.71.4239

Cited by 15 publications

(19 citation statements)

References 24 publications

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“…A prevalence of 4.8% among our adult patients is higher than 2% reported for adult patients in Lagos by Akinbami et al, 22 but this disparity may not be significant considering the sample size of the adult patients in both studies. A prevalence of 3.2% in 180 pediatric patients in Lagos reported by Adeyemo et al 23 is much lower than the 10.4% of the 67 paediatric patients of this study. Factors influencing the behavior and decision of patients to go to the hospital can contribute to variation in prevalence rate in hospitalbased studies.…”

Section: Haemoglobins F and A2 In The Study Populationcontrasting

confidence: 70%

THE EFFECT OF ALPHA THALASSEMIA, HBF and HBC ON HAEMATOLOGICAL PARAMETERS OF SICKLE CELL DISEASE PATIENTS IN IBADAN, NIGERIA.

Fasola

Babalola

Brown

et al. 2022

Mediterr J Hematol Infect Dis

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Background: Sickle cell disease is a protean disease with limited data on the phenotypic and genetic variants in Nigeria. This study was conducted to provide baseline data on these variants by characterizing the existing forms of sickle cell disease and correlating these with basic hematological parameters. Methods: Adult and pediatric patients with SCD were recruited from a tertiary health centre in Nigeria. Patients were age and sex matched with healthy controls. Blood samples were obtained for Full Blood Count, phenotyping by High Performance Liquid Chromatography and genotyping for alpha thalassemia by multiplex gap polymerase chain reaction. Data analysis was done using IBM SPSS statistics version 23. Results: A total of 130 patients with sickle cell disease and 117 controls were studied. Alpha thalassemia in the study population was due to a 3.7kb deletion in the alpha globin gene cluster at a prevalence of 45.4% in the patients and 47% in controls. The prevalence of the various existing forms of SCD genotype was: Homozygous S without alpha gene deletion (HbSS)- 39.2%; HbSC - 10.8%; HbSα+1- 35.4%; HbSα+2 - 6.9% and HbSF- 7.7%. HbA2 was significantly elevated in individuals with two alpha gene deletions (HbSα+2). HbF and HbA2 were negatively correlated with each other (r= -0.587, p < 0.001). Individuals with the HbSC genotype followed by HbSα+2 had the best hematological parameters. Conclusions: Hematological parameters varied with hemoglobin genotype. The C hemoglobin and homozygous alpha thalassemia deletion had better ameliorating effect on SCD hematological parameters than the F hemoglobin in this population.

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Section: Haemoglobins F and A2 In The Study Populationcontrasting

confidence: 70%

THE EFFECT OF ALPHA THALASSEMIA, HBF and HBC ON HAEMATOLOGICAL PARAMETERS OF SICKLE CELL DISEASE PATIENTS IN IBADAN, NIGERIA.

Fasola

Babalola

Brown

et al. 2022

Mediterr J Hematol Infect Dis

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“…Numerous techniques are used to screen for sickle cell trait or SCD, such as high-performance liquid chromatography (HPLC), haemoglobin electrophoresis, sickle solubility test, capillary electrophoresis, globin chain electrophoresis and DNA sequencing [19,20]. However, it is essential to emphasise that in conjunction with any of these techniques, evaluation of the peripheral blood smear, as well as correlation with the results of a complete blood count (CBC) are crucial since many of the clinically significant haemoglobin disorders show distinctive peripheral blood findings, and are often co-inherited.…”

Section: Resultsmentioning

confidence: 99%

A One-Year Hospital Based Prospective Study of Sickle Cell Disease from One Capital Area of Kuwait by HPLC

AlDallal¹,

Abdulsalam²

2016

Journal of Hematology and Blood Disorders

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“…Various methods have been developed for screening and diagnosis of SCD, including e.g., laboratory-based methods such as high performance liquid chromatography (HPLC) 6 , isoelectric focusing 7 , and hemoglobin extraction 8 . In addition to these relatively costly laboratory-based methods, there have been SCD diagnostic tests developed for point-of-care (POC) use [9][10][11][12][13][14] .…”

Section: Introductionmentioning

confidence: 99%

Automated screening of sickle cells using a smartphone-based microscope and deep learning

et al. 2020

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Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where the majority of SCD patients reside, more than 50% of the 0.2–0.3 million children born with SCD each year will die from it; many of these deaths are in fact preventable with correct diagnosis and treatment. Here, we present a deep learning framework which can perform automatic screening of sickle cells in blood smears using a smartphone microscope. This framework uses two distinct, complementary deep neural networks. The first neural network enhances and standardizes the blood smear images captured by the smartphone microscope, spatially and spectrally matching the image quality of a laboratory-grade benchtop microscope. The second network acts on the output of the first image enhancement neural network and is used to perform the semantic segmentation between healthy and sickle cells within a blood smear. These segmented images are then used to rapidly determine the SCD diagnosis per patient. We blindly tested this mobile sickle cell detection method using blood smears from 96 unique patients (including 32 SCD patients) that were imaged by our smartphone microscope, and achieved ~98% accuracy, with an area-under-the-curve of 0.998. With its high accuracy, this mobile and cost-effective method has the potential to be used as a screening tool for SCD and other blood cell disorders in resource-limited settings.

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Evaluation of high performance liquid chromatography (HPLC) pattern and prevalence of beta-thalassaemia trait among sickle cell disease patients in Lagos, Nigeria

Cited by 15 publications

References 24 publications

THE EFFECT OF ALPHA THALASSEMIA, HBF and HBC ON HAEMATOLOGICAL PARAMETERS OF SICKLE CELL DISEASE PATIENTS IN IBADAN, NIGERIA.

THE EFFECT OF ALPHA THALASSEMIA, HBF and HBC ON HAEMATOLOGICAL PARAMETERS OF SICKLE CELL DISEASE PATIENTS IN IBADAN, NIGERIA.

A One-Year Hospital Based Prospective Study of Sickle Cell Disease from One Capital Area of Kuwait by HPLC

Automated screening of sickle cells using a smartphone-based microscope and deep learning

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