| Literature DB >> 35222587 |
Akinwumi Ayodeji Akinbodewa1, Adeyemi Ogunleye2, Oluseyi Ademola Adejumo1.
Abstract
INTRODUCTION: Prospective blood donors are routinely screened for blood borne infections but medical illnesses and haemoglobin genotype are overlooked despite a high prevalence of haemoglobin AS among Nigerian donors.Entities:
Keywords: Haemoglobin genotype; Nigeria; blood donor; renal function; sickle cell trait
Mesh:
Year: 2021 PMID: 35222587 PMCID: PMC8843258 DOI: 10.4314/ahs.v21i3.33
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
Demographic and clinical parameters of participants
| Parameters | Frequency (N) | Percentage |
| Gender | ||
| Male | 96 | 94.1% |
| Female | 6 | 5.9% |
| Age group (years) | ||
| 19–24 | 36 | 35.3% |
| 25–29 | 40 | 39.2% |
| 30–34 | 20 | 19.6% |
| >34 | 6 | 5.9% |
| Haemoglobin genotype | ||
| AA | 77 | 75.5% |
| AC | 4 | 3.9% |
| AS | 21 | 20.6% |
| Blood group | ||
| A Rhesus positive | 15 | 14.7% |
| A Rhesus negative | 1 | 1.0% |
| B Rhesus positive | 9 | 8.8% |
| B Rhesus negative | 1 | 1.0% |
| AB Rhesus positive | 0 | 0 |
| AB Rhesus negative | 0 | 0 |
| O Rhesus positive | 73 | 71.6% |
| O Rhesus negative | 3 | 2.9% |
| Renal function classification | ||
| (ml/min/1.73m2) | ||
| >90 | 81 | 79.4% |
| 69–89 | 20 | 19.6% |
| 30–59 | 1 | 1.0% |
Gender distribution of haemoglobin genotype among participants
| Gender | Haemoglobin genotype | Total | ||
| AA | AC | AS | ||
| Male | 74 (77.1%) | 4 (4.2%) | 18 (18.7%) | 96 (100.0%) |
| Female | 3 (50.0%) | 0 (0.0%) | 3 (50.0%) | 6 (100.0%) |
| Total | 77 (75.5%) | 4 (3.9%) | 21 (20.6%) | 102 (100.0%) |
Association between haemoglobin genotype and renal function
| Haemoglobin | eGFR | Mean | Standard | P | 95% Confidence Interval |
| AA | 105.0±18.4 | 5.157 | 4.648 | 0.270 | -4.064 to 14.3778 |
| AS | 99.9±21.2 | ||||
| PCV | |||||
| AA | (mean ± SD) 40.3±2.1 | -0.788 | 0.568 | 0.169 | -1.916 to 0.340 |
| AS | 41.1±2.9 |
P is significant at value < 0.05