| Literature DB >> 31037173 |
Agatha Nkiruka David1, Munirah Yewande Jinadu1,2, Agatha Eileen Wapmuk1, Titilola Abike Gbajabiamila1, Jane Ogoamaka Okwuzu1, Ebiere Clara Herbertson1, Oliver Chukwujekwu Ezechi1.
Abstract
INTRODUCTION: sickle cell disease and HIV infection are prevalent in sub-Saharan Africa. While Haemoglobin S (HbS) contributes to significant morbidity and mortality in the homozygous or double heterozygous states, in the carrier state it confers a survival advantage in disease conditions such as malaria. However the interaction between sickle haemoglobin and HIV infection, especially in children remains largely unknown. This study aimed to assess the prevalence and impact of sickle cell trait on the clinical and laboratory parameters of HIV infected children in Lagos, Nigeria.Entities:
Keywords: HIV; Nigeria; children; sickle cell disease; sickle cell trait
Mesh:
Substances:
Year: 2018 PMID: 31037173 PMCID: PMC6462387 DOI: 10.11604/pamj.2018.31.113.15097
Source DB: PubMed Journal: Pan Afr Med J
socio-demographic characteristics of respondents
| Characteristic | Number of participants (%) n = 208 |
|---|---|
| 1-9 | 114 (54.8) |
| 10-14 | 94 (45.2) |
| Mean ±SD | 8.6 ± 3.2 |
| Male | 108 (51.9) |
| Female | 100 (48.1) |
| Yoruba | 63 (30.3) |
| Igbo | 89 (42.8) |
| Hausa | 9 (4.3) |
| Others | 47 (22.6) |
| Pre-School | 40 (19.2) |
| Primary School | 127 (61.1) |
| Junior Secondary | 36 (17.3) |
| Senior Secondary | 5 (2.4) |
| < Secondary | 42 (23.2) |
| ≥ Secondary | 139 (76.8) |
| < Secondary | 42 (23.5) |
| 137 (76.5) |
baseline clinical and laboratory characteristics of participants
| Characteristic | Mean (± SD) |
|---|---|
| Age at HIV Diagnosis (years): | 3.2 (±2.7) |
| BMI/Weight for Age Z Score | -1.02 (±1.27) |
| Who Clinical Stage at Diagnosis | 2.2 (±0.8) |
| Baseline HIV Viral Load (copies/ml) | 656,183.0 (±1,324,159.2) |
| Baseline CD4 Count (cells/μL): | 886.9 (± 691.6) |
| Baseline Hb (g/dL): | 9.4 (±1.4) |
Figure 1distribution of HB genotypes among participants
relationship between socio-demographic and HIV Characteristics among HbAA and SCT
| Characteristic | SCT (n = 39) | HbAA (n =169) | OR (95% CI) | P value |
|---|---|---|---|---|
| Male | 18 (46.2) | 90 (53.3) | 0.75(0.37-1.51) | 0.424 |
| Female | 21 (53.8) | 79 (46.7) | 1.0 | |
| 1 - 9 | 31 (79.5) | 83(49.1) | 4.0 (1.74 – 9.24) | |
| 10 - 14 | 8 (20.5) | 86 (50.9) | 1.0 | |
| Yoruba | 20 (51.3) | 43 (35.5) | 3.3(1.45 – 7.52) | |
| Igbo | 11 (48.7) | 78 (64.5 | 1.0 | |
| 3.0 | 3.3 | 0.665 | ||
| -1.22 (1.1) | -0.98 (1.3) | 0.310 | ||
| 2.4 (0.8) | 2.2 (0.9) | 0.425 | ||
| 1st Line | 32 (82.1) | 136 (83.4) | 0.91 (0.36 – 2.27) | 0.835 |
| 2nd Line | 7 (17.9) | 27 (16.6) | 1.0 | |
| 6.9 (2.72) | 6.13 (2.99) | 0.248 |
comparison of clinical characteristics amo ng participants with SCT and HbAA
| Characteristic | SCT (n = 39) | HbAA (n =169) | OR (95% CI) | P value |
|---|---|---|---|---|
| Yes | 3 (7.7) | 22 (13.0) | 0.55 (0.16-1.96) | 0.356 |
| No | 36 (92.3) | 147 (87.0) | 1.0 | |
| Yes | 3 (7.7) | 7 (4.1) | 1.93 (0.47-7.82) | 0.350 |
| No | 36 (92.3) | 162 (95.9) | 1.0 | |
| Yes | 1 (2.6) | 6 (3.6) | 0.73 (0.08-6.24) | 0.772 |
| No | 37 (97.4) | 162 (96.4) | 1.0 | |
| Yes | 22 (56.4) | 40 (24.1) | 4.08 (1.97-8.43) | < 0.001 |
| No | 17 (43.6) | 126 (75.9) | 1.0 |
baseline and current virologic and haematologic parameters among participants with SCT and HbAA
| Characteristic | Baseline | Current | ||||
|---|---|---|---|---|---|---|
| SCT (n = 39) | HbAA (n =169) | P value | SCT (n = 39) | HbAA (n =169) | P value | |
| 0.345 | ||||||
| 415,384 | 812,764 | 11,656.5 | 42,834.6 | |||
| (545,026.7) | (1744181.6) | (34,152.9) | (333,679.0) | |||
| 0.468 | 0.557 | |||||
| 870.1 | 894.8 (717.4) | 1,004.0 | 1,058.1 | |||
| (579.3) | (561.2) | (516.8) | ||||
| 9.0 (1.7) | 9.5 (1.4) | 0.319 | 11.2 (1.1) | 11.3 (1.2) | 0.470 | |