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Abstract Diabetes mellitus is among the leading global health concerns, causing over 1.5 million deaths alongside other significant comorbidities and complications. Conventional diagnosis involves estimating fasting, random blood glucose levels and glucose tolerance test. For monitoring purposes, long-term glycaemic control has been achieved through the measurement of glycated haemoglobin (HbA1c) which is considered reliable and preferred tool. However, its estimation could be affected by haemoglobin types like HbA0, HbA2, and HbF concentrations whose magnitude remains unclear as well as other haematological parameters. As such, the current study determined the association between HbA1c and haemoglobin types and determined correlation between haemoglobin types and haematological parameters among patients with type 2 diabetes mellitus (T2DM) compared to healthy non-diabetic participants. In this cross-sectional study, participants [n = 144 (72 per group), ages 23–80 years] were recruited and the desired parameter measured. HbA1c and other Haemoglobin variants were measured using ion-exchange high-performance liquid chromatography (HPLC) by the Bio-Rad D-10 machine (Bio-Rad Laboratories, Inc). Haematological parameters were measured using the Celtac G MEK-i machine (Nihon Kohden Europe). SPSS version 27 (IBM Corporation, Chicago, Illinois, United States) was used for the analysis. Chi-square (χ2) analysis, Mann-Whitney U test, Binary logistic regression and Pearson correlation were used to determine the differences between proportions, compare laboratory characteristics, associations and correlations respectively. With non-diabetics as the reference group, HbA1c was associated with increased HbA0 [OR = 1.509, 95% CI = 1.020–1.099, p = 0.003] and increased HbA2 [OR = 3.893, 95% CI = 2.161–7.014, p = 0.001]. However, there was no significant association between HbA1c and HbF [OR = 2.062, 95% CI = 0.873–4.875, p = 0.099]. Further, haematocrit (HCT) had a negative correlation with HbAO and a positive correlation with HbAS in participants with controlled diabetes. Mean cell volume (MCV) and mean cell haemoglobin (MCH) had a negative correlation with HbF. MCHC (mean cell haemoglobin concentration) had a negative correlation with HbA2 in participant with uncontrolled diabetes. The study concluded that levels of various haemoglobin types should be considered while monitoring glycaemic control through HbA1c. Additionally, MCHC should be considered in individuals with high concentration of HbA2 among T2DM patients while interpretating results for HbA1c.

Abstract Background In Plasmodium falciparum infection, clinical conditions such as anaemia, thrombocytopenia and leukocytosis are common. Mutation in haemoglobin sub-unit beta gene (HBB) may be a genetic factor responsible for these haematological changes during infection. However, the contributions of the carriage of different HBB genotypes on these changes remain largely unknown. Methodology In this cross-sectional study, we evaluated haematological abnormalities in P. falciparum-infected children (n = 217, aged 1–192 months) with different haemoglobin sub-unit beta (HBB) genotypes (HbAA, HbAS and HbSS). Children with acute febrile conditions were recruited at Jaramogi Oginga Odinga Teaching and Referral Hospital at the outpatient clinic. Haematological parameters were determined using Beckman Coulter counter ACTdiff2™ while HBB genotyping was done using TaqMan® SNP genotyping assay. Chi-square (χ2) was used to determine differences between proportions. Differences in haematological parameters were compared across groups using Kruskal Wallis test and between groups using Mann Whitney U test. Partial correlation test was used to determine correlation between haematological parameters and sickle cell genotypes while controlling for age and sex. Results Haemoglobin (Hb), [median (IQR); 7.3 (1.3), P = 0.001], haematocrit (HCT), [median (IQR); 26.4 (4.4), P = 0.009], red blood cells (RBC), [median (IQR); 3.2 (1.7), P = 0.048] were markedly reduced in HbSS, however, red cell distribution with (RDW) [median (IQR); 14.9 (3.3), P = 0.030] was increased in malaria infected children with HbSS. Severe anaemia was highest in HbSS (23.1%) followed by HbAA (8.6%) and HbAS (7.1%). There were no differences in platelet count (P = 0.399) hence no severe thrombocytopeania across the genotypes. Leukocytosis was highest in HbSS (69.2%), 42% in HbAS and 31% in HbAA. The RBC, HCT and Hb had negative correlation with RDW in HbSS in malarial-infected children (r = − 0.725, P = 0.008), (r = − 0.718, P = 0.009) and (r = − 0.792, P = 0.002), respectively. Conclusion Our study reveals that anaemia is the most common abnormality in malaria-infected children with carriage of HbSS. The RBC, HCT and Hb concentration decrease with increase in RDW levels in infected children with carriage of HbSS compared to other HBB genotypes. Therefore, carriage of HbSS genotype is correlated with severity of haematological abnormalities.