Browsing by Author "Mensah, B.T."
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Item Comparative analysis of glycated haemoglobin, fasting blood glucose and haematological parameters in Type-2 diabetes patients(BMC Research Notes, 2023) Antwi-Baffour, S.; Mensah, B.T.; Armah, D.N.O.; Ali-Mustapha, S.; Annison, L.Objective Diabetes remains a major health problem, and Glycated hemoglobin (HBA1c) and fasting blood glucose (FBG) levels play important roles in its management. Also, chronic hyperglycemia coupled with high HBA1c levels impact inflammation and may alter haematological parameters in diabetes. Hence, the need to assess and correlate HBA1c and FBG levels with selected haematological parameters in patients with type-2 diabetes mellitus as the main objective of this study. The study was cross-sectional involving 384 participants. Five milliliters of blood was collected from each participant and analyzed for HBA1c, FBG levels and full blood count which were correlated statistically. Results From the data obtained and analyzed, there were statistically significant correlations between HBA1c and neutrophil count (p<0.013), plateletcrit (p<0.036), mean platelet volume (p<0.019) and platelet distribution width (p<0.002). There were also significant differences in FBG (p<0.014), neutrophil count (p<0.029), red cell distribution width (p<0.046), mean platelet volume (p<0.032) and platelet distribution width (p<0.013) between diabetes patients with HBA1c less than 7.0% and HBA1c more than or equal to 7.0%. The outcome of the study indicates significant correlation of HBA1c with selected haematological parameters. This could make routine haematological parameters a cost-effective means of predicting poor glucose control in diabetes mellitus patients.Item Haematological parameters and their correlation with the degree of malaria parasitaemia among outpatients attending a polyclinic(Malaria Journal, 2023) Antwi‑Bafour, S.; Mensah, B.T.; Johnson, G.; Armah, D.N.O.; Ali‑Mustapha, S.; Annison, L.Background Malaria is a parasitic disease caused by various species of the blood parasite Plasmodium; of all the para‑ sitic diseases, malaria has the highest prevalence and mortality with an estimated 247 million cases and 619,000 deaths recorded worldwide as of 2021. Malaria causes febrile illness with several changes in blood cell parameters. Some of these changes include leucopenia, thrombocytopenia, and anaemia. If these changes could be correlated with the degree of parasitaemia, it can serve as a guide to physicians when treating malaria. This study was therefore aimed at correlating haematological parameters with levels of parasitaemia during malaria infection. Methods The study was a cross-sectional study involving 89 malaria positive patients. About 5 ml of blood was col‑ lected from each participant who gave his or her informed consent to partake in the study. A full blood count was performed on their samples to determine their haematological parameters using a haematology auto-analyzer. A parasite count was also performed via microscopy to determine the degree of parasitaemia. The data obtained from the study was entered into a database and statistically analysed using Statistical Package for Social Sciences (SPSS) version 23 and Microsoft Excel 2016. Results The study comprised of 89 participants out of which 35 were males and 54 were females with the mean age of 26.15 years. Secondary education participants were the highest with quaternary education the lowest. The highest parasite count recorded was 398,174 parasites/µl of blood, lowest count was 101 with the average being 32,942.32584. There was also a signifcant positive Pearson’s correlation between total WBC and parasitaemia and with the WBC diferentials, neutrophils, lymphocytes and monocytes had positive correlations while eosinophils and basophils had negative correlations. Furthermore, platelets, total RBC’s, haemoglobin, MCH, MCHC and Hct all showed negative correlations. Linear regression also showed a linear relationship between parasite density and the various haematological parameters. Conclusion The linear relationship (correlation) between WBC and MCH were the only signifcant ones at 95% and 99% confdence interval, respectively based on a two-tail t-test. Also, based on the regression analysis, the changes caused by WBC and PLT were the only signifcant changes at 95% confdence level in a two-tailed t-test.