| Literature DB >> 33402928 |
Catherine Nyangabyaki-Twesigye1, Edison Mworozi2, Charles Namisi3, Victoria Nakibuuka1, Joshua Kayiwa4, Robert Ssebunya1, David Aggrey Mukose5.
Abstract
BACKGROUND: With targeted management of neonatal hyperbilirubinaemia in high-income countries, there has been a drastic drop in both the prevalence and mortality. On the contrary, over two-thirds of the global burden of neonatal hyperbilirubinaemia is in Sub-saharan Africa and South East Asia with a high mortality risk of 16-35%. Neonatal hyperbilirubinaemia is not a leading global cause of neonatal mortality, however leads to irreversible neurological damage and death when managed poorly. Three-quarters of the babies admitted to the national referral hospital in Uganda had significant hyperbilirubinaremia; 16.6% of these babies died. We aimed at determining the prevalence, treatment outcome and describing factors associated with hyperbilirubinaemia in neonates admitted to St Francis hospital, Nsambya.Entities:
Keywords: exchange transfusion; hyperbilirubinaemia; neonatal jaundice; phototherapy
Mesh:
Year: 2020 PMID: 33402928 PMCID: PMC7750052 DOI: 10.4314/ahs.v20i1.46
Source DB: PubMed Journal: Afr Health Sci ISSN: 1680-6905 Impact factor: 0.927
Figure 1Study profile of the patients
Socio-demographic characteristics of study participants
| Variable (n) | Total in category | Percentage |
| 16–24 years | 66 | 29.7% |
| ≥25 years | 156 | 71.3% |
| 1 | 108 | 46.2% |
| ≥2 | 126 | 53.9% |
| Hospital | 193 | 88.5% |
| Health centre | 18 | 8.3% |
| Home/TBA | 7 | 3.2% |
| <2.5kgs | 24 | 10.1% |
| ≥2.5kgs | 213 | 89.9% |
| Male | 143 | 65.9% |
| Female | 74 | 34. % |
| Term | 230 | 93.1% |
| Preterm | 17 | 6.9% |
| Compatible | 78 | 52.4% |
| Incompatible | 71 | 47.7% |
| Incompatible | 6 | 4.0% |
| Compatible | 143 | 96.0% |
Where n is ≤ 242 due to missing data for the variable
Factors associated with significant hyperbilirubinaemia
| Variable (n) | Total in | Number (%) | COR (95% | P value | AOR (95% | P |
| 16–24 years | 63 | 11 (17.5) | - | 0.3700 | - | 0.118 |
| =25 years | 153 | 35 (22.9) | 1.40 (0.66, | 7.14 (0.61, | ||
| 1 | 103 | 20 (19.4) | - | 0.3139 | - | 0.251 |
| =2 | 124 | 31 (24.8) | 1.38 (0.73, | 0.42 (0.09, | ||
| Hospital | 189 | 40 (21.2) | - | 0.2582 | - | 0.4534 |
| Health centre | 18 | 6 (33.3) | 1.86 (0.66, | 2.63 (0.24, | ||
| Home | 7 | 3 (42.9) | 2.79 (0.60, | 4.46 (0.26, | ||
| <2.5kgs | 24 | 6 (25.0) | - | 0.8340 | - | 0.140 |
| =2.5kgs | 208 | 48 (23.1) | 0.90 (0.34, | 0.23 (0.03, | ||
| Male | 137 | 34 (24.8) | - | 0.2596 | - | 0.526 |
| Female | 72 | 13 (18.1) | 0.67 (0.32, | 0.60 (0.12, | ||
| Compatible | 75 | 17 (22.7) | - | - | 0.122 | |
| Incompatible | 69 | 27 (39.1) | 0.46 (0.22, | 0.30 (0.06, | ||
| Incompatible | 6 | 3 (50.0) | - | - | 0.202 | |
| Compatible | 138 | 41 (29.7) | 0.42 (0.08, | 0.3100 | 0.11 (0.004, | |
Where n is less than 242 due to missing data for that variable