| Literature DB >> 33568914 |
Bekem Dibaba1, Dejene Edosa1, Mohammedamin Hajure2, Gelawdiwos Gebre3.
Abstract
BACKGROUND: Antepartum hemorrhage is a very serious problem and contributes significantly to maternal and neonatal morbidity and mortality in developing countries including Ethiopia. Identification of risk factors of antepartum hemorrhage will help for prevention and control programs.Entities:
Keywords: 2016; Ethiopia; Suhul; Tigrai; antepartum hemorrhage; risk factors
Year: 2021 PMID: 33568914 PMCID: PMC7869719 DOI: 10.2147/JMDH.S269744
Source DB: PubMed Journal: J Multidiscip Healthc ISSN: 1178-2390
Socio-Demographic Characteristics of Mothers Who Gave Birth at Suhul General Hospital Who Had APH and Had No APH During the Period of 2013–2016 (n=420)
| Characteristics | Case (n=140) (%) | Controls (n=280) (%) | Total (n=420) (%) |
|---|---|---|---|
| 15–24 | 44 (31.4%) | 105 (37.5%) | 149 (35.5%) |
| 25–34 | 36 (25.7%) | 148 (52.9%) | 184 (43.8%) |
| 35–44 | 60 (42.9%) | 27 (9.6%) | 87 (20.7%) |
| 29.76±7.19 | 27±5.55 | 27.9±6.28 | |
| 1. Shire | 62 (44.3%) | 166 (59.3%) | 228 (54.3%) |
| 2. Out of Shire | 78 (55.7%) | 114 (40.7%) | 192 (45.7%) |
Obstetric Characteristics of Mothers Who Gave Birth at Suhul General Hospital Who Had APH and Had No APH at Admission During the Period of 2013–2016
| Variables | Cases | Controls | Variables | Cases | Controls |
|---|---|---|---|---|---|
| 12 (8.57%) | 40 (14.28%) | 130 (92.9%) | 263 (93.9%) | ||
| 26 (18.57%) | 82 (29.3%) | 10 (7.1%) | 16 (5.7%) | ||
| 44 (31.43%) | 109 (38.9%) | 0 | 1 (0.4%) | ||
| 58 (41.43%) | 49 (17.5%) | ||||
| 134 (95.7%) | 268 (95.7%) | ||||
| 76 (54.3%) | 26 (9.3%) | 6 (4.3%) | 12 (4.3%) | ||
| 57 (40.7%) | 227 (81.1%) | ||||
| 7 (5%) | 27 (9.6%) | 139 (99.3%) | 278 (99.3%) | ||
| 1 (0.7%) | 2 (0.7%) | ||||
| 7 (5%) | 14 (5%) | ||||
| 133 (95%) | 266 (95%) | ||||
| 137 (98.7%) | 275 (98.2%) | ||||
| 126 (90%) | 269 (96.1%) | 3 (2.1%) | 5 (1.8%) | ||
| 14 (10%) | 11 (3.9%) | ||||
| 73 (52.1%) | 220 (78.4%) | ||||
| 134 (95.7%) | 276 (98.6%) | 67 (49.9%) | 60 (21.6%) | ||
| 6 (4.3%) | 4 (1.4%) | ||||
| 130 (92.9%) | 262 (93.6%) | 125 (89.3%) | 244 (87.1%) | ||
| 10(7.1%) | 18 (6.4%) | 15 (10.7%) | 36 (12.9%) | ||
| 135 (96.4%) | 271 (96.8) | ||||
| 5 (3.6%) | 9 (3.2%) |
Previous History of Obstetrics Characteristics of Mothers Who Gave Birth at Suhul General Hospital Who Had APH and Had No APH During the Period of 2013–2016
| Variables | Cases | Controls |
|---|---|---|
| History of APH (n=362) | ||
| No | 111 (91.7%) | 223 (92.5%) |
| Yes | 10 (8.3%) | 18 (7.5%) |
| History of PIH (n=362) | ||
| No | 110 (90.9%) | 214 (88.8%) |
| Yes | 11 (9.1%) | 27 (11.2%) |
| History of abortion (n=420) | ||
| No | 104 (74.3%) | 233 (83.2%) |
| Yes | 36 (25.7%) | 47 (16.8%) |
| History of previous cesarean section (n=362) | ||
| No | 86 (71.1%) | 221 (91.7%) |
| Yes | 35 (28.9%) | 20 (8.3%) |
Bivariate and Multivariate Analysis of Factors Associated with APH of Factors Associated with APH Among Mothers Who Gave Birth at Suhul General Hospital Who Had APH and Had No APH During the Period of 2013–2016
| Variables | Cases (n=140) (%) | Controls (n=280) (%) | COR (95% CI) | AOR (95% CI) |
|---|---|---|---|---|
| | 44 (31.4%) | 105 (37.5%) | 1 | 1 |
| | 36 (25.7%) | 148 (52.9%) | 0.58 (0.37–1.03) | 0.50 (0.24–1.04) |
| | 60 (42.9%) | 27 (9.6%) | 5.30 (3.08–9.75) | 4 (1.48–11.12) * |
| | 62 (44.3%) | 166 (59.3%) | 1 | 1 |
| | 78 (55.7%) | 114 (40.7%) | 1.83 (0.36–0.82) | 1.19 (0.69–2.03) |
| | 126 (90%) | 269 (96.1%) | 1 | 1 |
| | 14 (10%) | 11 (3.9%) | 2.72 (1.2–6.15) | 2.03 (0.67–6.10) |
| | 12 (8.57%) | 40 (14.28%) | 1 | 1 |
| | 26 (18.57%) | 82 (29.3%) | 1.06 (0.48–2.30) | 0.37 (0.01–9.81) |
| | 44 (31.43%) | 109 (38.9%) | 1.35 (0.65–2.80) | 0.391 (0.02–10.41) |
| | 58 (41.43%) | 49 (17.5%) | 3.95 (1.89–8.34) | 0.44 (0.02–12.41) |
| | 104 (74.3%) | 233 (83.2%) | 1 | 1 |
| | 36 (25.7%) | 47 (16.8%) | 1.72 (1.51–3.89) | 2 (1.08–3.46)* |
| | 86 (71.1%) | 221 (91.7%) | 1 | 1 |
| | 35 (28.9%) | 20 (8.3%) | 4.5 (2.46–8.22) | 4.7 (2.29–9.69)* |
Note: *Significant variables during multiple logistic regression analysis.