| Literature DB >> 32727171 |
Kyung Ju Lee1,2, Kwan Hong3,4, Hari Hwang1,3, Hijeong Choi5, Sangho Sohn1.
Abstract
OBJECTIVE: Postpartum hemorrhage (PPH) is the leading cause of maternal mortality worldwide and is both unpredictable and inevitable. While uterotonic drugs are routinely recommended, there is ongoing debate on the ideal intervention to control uterine bleeding. This review aims to compare the use of non-pharmacologic treatments with peripartum hysterectomy in cases of life-threatening uncontrolled obstetric hemorrhage. The review's objective is to use a network meta-analysis to help prevent maternal deaths and rank the treatments according to success rates.Entities:
Keywords: Balloon tamponade; Network meta-analysis; Postpartum hemorrhage; Uterine artery embolization
Year: 2020 PMID: 32727171 PMCID: PMC7494765 DOI: 10.5468/ogs.20080
Source DB: PubMed Journal: Obstet Gynecol Sci ISSN: 2287-8572
Fig. 1.PRISMA flow chart of study selection process.
Characteristics of selected studies
| Author | Year of publication | Country | Total number of participants | Type of intervention | Failure rate[ | ||
|---|---|---|---|---|---|---|---|
| Treatment A | Treatment B | Risk A | Risk B | ||||
| Chai and To [ | 2014 | Hong Kong | 80 | Bakri balloon tamponade | General compression suture | 0.26 (0.11–0.46) | 0.36 (0.20–0.55) |
| Feng et al. [ | 2016 | China | 75 | Uterine artery embolization | Uterine strapping General compression suture | 0.12 (0.01–0.36) | 0.14 (0.06–0.25) |
| Guo et al. [ | 2018 | China | 205 | Bakri + vaginal gauze | Bakri balloon tamponade | 0.04 (0.01–0.08) | 0.08 (0.04–0.13) |
| Howard and Grobman [ | 2015 | US | 420 | Bakri balloon tamponade | Uterine artery embolization | 0.10 (0.03–0.23) | 0.15 (0.03–0.38) |
| Yan et al. [ | 2014 | China | 74 | Bakri balloon tamponade | B-lynch | 0.05 (0.00–0.26) | 0.19 (0.06–0.38) |
| Zhao et al. [ | 2014 | China | 87 | Bakri balloon tamponade | B-lynch | 0.00(0.00–0.06) | 0.10 (0.02–0.26) |
CI, confidence intervals.
Failure rate = number of failures/population.
Fig. 2.The summary of each study’s risk of bias. Green positive icons indicate low risk of bias and red negative icons indicate high risk of bias.
Fig. 3.Network diagrams for postpartum hemorrhage treatments. Nodes represent an intervention and their size is proportional to the number of trials comparing this intervention to any other in the network. The lines connecting each pair of interventions represent an indirect comparison and are line widths are proportional to the number of trials making each indirect comparison. (A) Network A compares 1 type of management, and (B) network B compares complex treatment management.
Fig. 4.Forest plot with odd ratios (ORs) and 95% confidence intervals (CIs) from pairwise, indirect and network analysis for postpartum hemorrhage treatments.
Surface under the cumulative ranking curve (SUCRA): rank of ‘network A’ treatment groups and ‘network B’ specific treatments in failure rates
| Intervention | SURCA | Rank |
|---|---|---|
| Network A | ||
| Balloon tamponade | 0.89 | 1 |
| Uterine artery embolization | 0.44 | 2 |
| Surgery | 0.17 | 3 |
| Network B | ||
| Bakri balloon tamponade + vaginal gauze | 0.95 | 1 |
| Bakri balloon tamponade | 0.69 | 2 |
| Embolization | 0.48 | 3 |
| General compression suture | 0.45 | 4 |
| Uterine strapping | 0.34 | 5 |
| B-lynch | 0.09 | 6 |
Fig. 5.Funnel plots of selected studies based on treatment grouping.