| Literature DB >> 34907788 |
Melaku Desta1, Melaku Admas2, Yordanos Yeshitila3, Belsity Meselu2, Keralem Bishaw2, Moges Assemie2, Nigus Yimer4, Getachew Kassa2.
Abstract
Despite remarkable progress in the reduction of under-five mortality, the rate of perinatal and neonatal mortality is still high especially in developing countries. The adverse outcome associated with preterm birth is one of the major public health challenges in Africa. However, there are limited and inconsistent studies conducted on the effect of preterm birth on adverse perinatal and neonatal outcomes in Ethiopia. Therefore, this systematic review and meta-analysis aimed to investigate the association between preterm birth and its adverse perinatal and neonatal outcomes in Ethiopia. We systematically searched several electronic databases like PubMed, Web of Science, SCOPUS, CINAHL, Google Scholar, African Journals Online databases and Science Direct. All identified observational studies were included. The I1 statistics were used to assess the heterogeneity among the studies. A random-effects model was computed to estimate the pooled effect of preterm birth on adverse perinatal and neonatal outcomes. Thirty-three studies with a total of 20 109 live births were included in the final meta-analysis. Our meta-analysis showed that preterm birth increased the odds of perinatal mortality by 10-folds [POR = 9.56 (95% CI: 5.47, 19.69)] and there was a 5.44-folds risk of stillbirth [Odds Ratio = 5.44 (95% CI: 3.57, 8.28)] among women who gave birth before 37 weeks of gestation. In addition, preterm birth was significantly associated with neonatal hypothermia [OR=3.54 (95% CI: 2.41, 5.21)], neonatal mortality [OR= 3.16 (95% CI: 1.57, 6.34). The sub-group analysis of this meta-analysis showed that there was an increased risk of neonatal sepsis [OR=2.33 (95% CI: 1.15, 4.71)] among preterm babies. Preterm births significantly increased the risk of adverse perinatal and neonatal outcomes in Ethiopia. Therefore, scale-up strategies and improving the quality of maternal and child health care providers should be an area of intervention to reduce adverse outcomes associated with preterm birth. The Federal Ministry of Health and concerned bodies should work towards the prevention of preterm birth and its adverse outcomes.Entities:
Keywords: Ethiopia; adverse outcomes; meta-analysis; perinatal mortality; preterm birth
Mesh:
Year: 2021 PMID: 34907788 PMCID: PMC8802133 DOI: 10.1177/00469580211064125
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 1.730
Figure 1.PRISMA flow diagram of the studies in the systematic review and meta-analysis.
Characteristics of included studies on the effect of preterm birth adverse outcomes.
| Year | Region | Design | Reported Outcomes | Number of Cases with the Outcome | Sample | ||||
|---|---|---|---|---|---|---|---|---|---|
| a | b | C | day | ||||||
| Roro BM et al
| 2018 | Oromia | Case-c | Perinatal mortality | 11 | 7 | 62 | 139 | 219 |
| Yirgu R et al
| 2016 | Amhara | Case-c | Perinatal mortality | 14 | 2 | 88 | 202 | 306 |
| Aragaw YH
| 2016 | Oromia | Cross-s | Perinatal mortality | 23 | 14 | 59 | 925 | 1025 |
| Tesfaye H | 2019 | AA | Case-c | Perinatal mortality | 110 | 89 | 164 | 458 | 821 |
| Getiye and Fentahun
| 2017 | AA | Case-c | Perinatal mortality | 139 | 59 | 211 | 655 | 1064 |
| Tilahun S et al
| 2008 | AA | Cross-s | Perinatal mortality | 35 | 8 | 41 | 179 | 263 |
| Goba GK et al
| 2018 | Tigray | Case-c | Perinatal mortality | 37 | 9 | 89 | 243 | 378 |
| Mihiretu A et al | 2017 | SNNPR | Cross-s | Perinatal mortality | 18 | 10 | 34 | 248 | 310 |
| Berhe T et al
| 2019 | Tigray | Cross-s | Stillbirth | 10 | 62 | 14 | 487 | 570 |
| Tasew H et al
| 2019 | Tigray | Cross-s | Stillbirth | 40 | 68 | 23 | 184 | 315 |
| GSlasie KZ et al
| 2020 | Tigray | Cohort | Stillbirth | 10 | 60 | 13 | 564 | 648 |
| Geyesus T et al
| 2017 | Amhara | Cross-s | Neonatal sepsis | 65 | 27 | 42 | 101 | 251 |
| Getabelew A et al
| 2018 | Oromia | Cross-s | Neonatal sepsis | 46 | 23 | 148 | 31 | 244 |
| Woldu MA et al
| 2014 | Oromia | Cross-s | Neonatal sepsis | 39 | 25 | 178 | 50 | 306 |
| Gebremedhin D et al
| 2016 | Tigray | Case-c | Neonatal sepsis | 29 | 37 | 52 | 112 | 234 |
| Ketema E et al
| 2019 | SNNPR | Case-c | Neonatal sepsis | 40 | 58 | 72 | 165 | 335 |
| Sorsa A et al
| 2019 | Oromia | Cross-s | Neonatal sepsis | 30 | 49 | 68 | 170 | 317 |
| Alemu M et al
| 2019 | Amhara | Case-c | Neonatal sepsis | 50 | 40 | 32 | 124 | 246 |
| Mustafa A et al
| 2020 | SNNPR | Cross-s | Neonatal sepsis | 89 | 52 | 186 | 24 | 351 |
| Weldu Y et al
| 2020 | Tigray | Cross-s | Neonatal sepsis | 54 | 74 | 62 | 127 | 317 |
| Bayih WA et al
| 2019 | Harar | Cross-s | N. hypothermia | 86 | 13 | 181 | 123 | 403 |
| Tasew H et al
| 2018 | Tigray | Case-c | N. hypothermia | 27 | 20 | 61 | 156 | 264 |
| Seyum and Ebrahim
| 2015 | Amhara | Cross-s | N. hypothermia | 49 | 9 | 245 | 118 | 421 |
| Demissie BW et al
| 2018 | AA | Cross-s | N. hypothermia | 155 | 47 | 73 | 81 | 356 |
| Kokeb and Desta
| 2016 | Amhara | Cross-s | Neonatal mortality | 36 | 49 | 36 | 186 | 307 |
| Demisse AG et al
| 2017 | Amhara | Cross-s | Neonatal mortality | 49 | 201 | 48 | 408 | 706 |
| Debelew GT et al
| 2014 | Oromia | Cohort | Neonatal mortality | 20 | 323 | 90 | 3030 | 3463 |
| Farah AE et al
| 2018 | Somali | Cohort | Neonatal mortality | 14 | 143 | 31 | 604 | 792 |
| Orsido TT et al
| 2019 | SNNPR | Cohort | Neonatal mortality | 84 | 128 | 77 | 677 | 966 |
| Mengesha HG et al
| 2016 | Tigray | Cohort | Neonatal mortality | 42 | 51 | 26 | 1033 | 1152 |
| Desalew A et al
| 2020 | Harar | Cohort | Neonatal mortality | 82 | 78 | 233 | 96 | 489 |
| Hadgu FB et al
| 2020 | Tigray | Cross-s | Neonatal mortality | 139 | 292 | 150 | 1190 | 1770 |
| Gudayu TW et al
| 2020 | Amhara | Cohort | Neonatal mortality | 57 | 150 | 30 | 267 | 504 |
Figure 2.Forest pot of association of preterm birth and perinatal mortality: meta-analysis.
Sub-group analysis of the impact of preterm birth on adverse outcomes by study design.
| Outcomes | Design | Included Studies, | POR [95%CI] | I
| P |
|---|---|---|---|---|---|
| Perinatal mortality | Case control | 5 | 9.44 (3.64, 24.4) | 89.6 | <.0001 |
| Cross-sectional | 3 | 8.09 (5.96, 10.9) | 0 | 0.4 | |
| Neonatal sepsis | Case control | 3 | 2.33 (1.15, 4.71) | 79.8 | .05 |
| Cross-sectional | 5 | .9 (.36, 2.29) | 94.1 | <.0001 | |
| Neonatal mortality | Cohort | 6 | 3.20 (1.01, 10.1) | 97.2 | <.0001 |
| Cross-sectional | 3 | 3.12 (2.10, 4.64) | 65 | <.005 |
Figure 3.Forest pot of association of preterm birth and stillbirth in Ethiopia: meta-analysis.
Figure 4.Forest pot of association of preterm birth and neonatal sepsis: meta-analysis.
Figure 5.Pooled odds ratio of association of preterm birth and neonatal hypothermia.
Figure 6.Forest plot of the impact of preterm birth on neonatal mortality: meta-analysis.