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Risk factors for peripartum hysterectomy among women with postpartum haemorrhage: analysis of data from the WOMAN trial

BMC Pregnancy and Childbirth volume 18, Article number: 186 (2018) Cite this article

Abstract

Background

Peripartum hysterectomy can cause significant morbidity and mortality. Most studies of peripartum hysterectomy are from high income countries. This cohort study examined risk factors for peripartum hysterectomy using data from Africa, Asia, Europe and the Americas.

Methods

We used data from the World Maternal Antifibrinolytic (WOMAN) trial carried out in 193 hospitals in 21 countries. Peripartum hysterectomy was defined as hysterectomy within 6 weeks of delivery as a complication of postpartum haemorrhage. Univariable and multivariable random effects logistic regression models were used to analyse risk factors. A hierarchical conceptual framework guided our multivariable analysis.

Results

Five percent of women had a hysterectomy (1020/20,017). Haemorrhage from placenta praevia/accreta carried a higher risk of hysterectomy (17%) than surgical trauma/tears (5%) and uterine atony (3%). The adjusted odds ratio (AOR) for hysterectomy in women with placenta praevia/accreta was 3.2 (95% CI: 2.7–3.8), compared to uterine atony. The risk of hysterectomy increased with maternal age. Caesarean section was associated with fourfold higher odds of hysterectomy than vaginal delivery (AOR 4.3, 95% CI: 3.6–5.0). Mothers in Asia had a higher hysterectomy incidence (7%) than mothers in Africa (5%) (AOR: 1.2, 95% CI: 0.9–1.7).

Conclusions

Placenta praevia/accreta is associated with a higher risk of peripartum hysterectomy. Other risk factors for hysterectomy are advanced maternal age, caesarean section and giving birth in Asia.

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Background

Peripartum hysterectomy is performed at the time of delivery, or at any time from delivery to discharge from the same hospitalisation. The main indication for peripartum hysterectomy is severe uterine haemorrhage that cannot be controlled by conservative measures [1]. Peripartum hysterectomy is a “near-miss” maternal event - an intervention performed in life threatening obstetric situations to prevent death [2]. It results in the loss of fertility and is associated with significant maternal morbidity and mortality [3].

Worldwide, the rate of peripartum hysterectomy varies widely. In high income countries less than one in 1000 deliveries is complicated by peripartum hysterectomy [4,5,6,7,8,9,10], whereas in Nigeria [11] and Pakistan [12] the incidence is 4 and 11 per 1000 deliveries, respectively. The rate of emergency peripartum hysterectomy has been increasing over time [7,8,9, 13,14,15]. In USA, it increased by 12% between 1998 and 2003 [9] and by 15% between 1995 and 2007 [13].

The risk factors for peripartum hysterectomy are advanced maternal age, abnormal placentation, higher parity, and caesarean delivery in previous or current pregnancy [1, 16]. An increased risk of hysterectomy associated with placental pathologies and caesarean sections has been reported in several studies [5,6,7, 9, 10, 15, 17].

Individual studies on peripartum hysterectomy have small sample sizes, and the definition of peripartum hysterectomy varies across studies making comparisons difficult [16]. Systematic reviews often exclude studies conducted in underdeveloped nations [16, 18], or have an underrepresentation of women in poor countries [1]. In this study we used data from a large multinational clinical trial, in which most women were from Africa and Asia. The objective of this study was to i) determine the association between placenta praevia/accreta and the risk of emergency hysterectomy and ii) investigate the association between demographic and delivery-related risk factors and emergency hysterectomy.

Methods

Study design and data source

This is a cohort study using data from the World Maternal Antifibrinolytic (WOMAN) trial, which was a large, randomised, double blinded, placebo controlled trial conducted in 193 hospitals in 21 countries [19]. Women diagnosed with postpartum haemorrhage (PPH) were randomised to receive tranexamic acid or placebo. Baseline data were recorded in an entry form prior to randomisation and outcome data collected at death, discharge from hospital or 42 days following randomisation, whichever occurred first [20]. All women with a completed outcome form were included in our cohort study, irrespective of the trial arm they were randomised to.

Our study outcome was defined as hysterectomy performed before discharge or within 6 weeks of delivery. The primary exposure of interest was placenta praevia/accreta as cause of haemorrhage. Other risk factors evaluated in this study include, maternal age, geographic region, delivery in study hospital, administration of prophylactic uterotonics, type of delivery, full delivery of placenta, systolic blood pressure (SBP), estimated volume of blood loss, and clinical signs of haemodynamic instability. Countries were categorised into three geographic regions as follows: Africa - Burkina Faso, Cameroon, Cote d’Ivoire, Democratic Republic of Congo, Egypt, Ethiopia, Ghana, Kenya, Nigeria, Sudan, Tanzania, Uganda and Zambia; Asia - Bangladesh, Nepal, Pakistan, Papua New Guinea; Europe and the Americas - Albania, Colombia, Jamaica and United Kingdom.

Statistical analyses

Stata 14 was used for all statistical analyses [21]. We used frequencies and percentages to describe the characteristics of the study population. For variables with more than 1% missing data (uterotonics administered prophylactically), we explored to check if missingness was random. To account for clustering of subjects at the hospital level, we fitted random effects logistic regression models adjusting for hospital. We included age as a forced variable, a priori, for all univariable analyses.

Drawing on prior knowledge, we hypothesized variables that might be confounders and those that might be in the causal pathway between our primary exposure and outcome [22]. We excluded full delivery of placenta from multivariable models since any placental pathology would affect its delivery. Variables reflecting haemodynamic status such as blood pressure and blood loss volume were identified as mediators, because cause of haemorrhage can influence these variables and subsequently the need for hysterectomy. The hierarchical conceptual framework shown in Fig. 1 guided our analysis.

Fig. 1
figure 1

Hierarchical conceptual framework of risk factors for hysterectomy in women with postpartum haemorrhage

Full size image

A forward approach was used to build multivariable models. Exposure variables in model 1 were cause of PPH, age, geographic region, delivery in study hospital, administration of prophylactic uterotonics and type of delivery. Model 2 included variables in model 1 plus systolic blood pressure, estimated volume of blood loss and clinical signs of haemodynamic instability. For each hierarchy, the association between cause of haemorrhage and hysterectomy was adjusted by adding variables one at a time, based on the magnitude of effect in crude analysis. As each variable was added to the model, we assessed for collinearity. After fitting a preliminary final model, negative confounding was explored by including variables that were initially excluded. A variable was a negative confounder if it did not show an association at univariable analysis, but became associated with the outcome at multivariable analysis (p < 0.05). Once a full model was identified, for each hierarchy, risk factors were evaluated statistically using the likelihood ratio test.

Results

Table 1 shows characteristics of the 20,021 study participants. The mean maternal age was 28 years (standard deviation: 6 years). Sixty four percent of mothers were from Africa and 31% from Asia. The most common cause of postpartum haemorrhage was uterine atony (64%), followed by surgical trauma (18%) and placenta praevia/accreta (9%). Most mothers (88%) gave birth at study hospitals, whereas 12% gave birth in other settings and were referred to study sites after PPH onset. Seventy one percent of mothers delivered vaginally and 29% had caesarean sections.

Table 1 Baseline characteristics of women with postpartum haemorrhage (N = 20,021)
Full size table

There were 484 women with missing data for uterotonic prophylaxis. They had a higher risk of hysterectomy (odds ratio 1.5, 95% CI: 1.0–2.1, p = 0.04) compared to women with data for uterotonic prophylaxis. Among the women with missing data for uterotonic prophylaxis, 468 (97%) gave birth in a setting other than the study sites. The remaining exposure variables had less than 1 % missing data. Four women had missing outcome data.

The risk of peripartum hysterectomy within 6 weeks of PPH diagnosis was 5% (1020/20,017). The risk of hysterectomy for uterine atony, surgical trauma/tears and placenta praevia/accreta was three, five and 17 %, respectively (Table 2). The incidence of hysterectomy was 1% in mothers under 20 years and 13% in mothers who were 40 and above. The risk of hysterectomy varied by geographic region: 7% in Asia and 5% in Africa. Women having caesarean sections had a higher risk of hysterectomy (11%) than women who delivered vaginally (3%). The age-adjusted odds ratio for placenta praevia/accreta and hysterectomy was 4.9 (95% CI: 4.1–5.8) compared to uterine atony.

Table 2 Univariable analysis of risk factors for hysterectomy in women with postpartum haemorrhage
Full size table

The timing of hysterectomy differed by cause of bleeding. The median time between PPH diagnosis and hysterectomy was 0.6 h for placenta praevia/accreta, compared to ≥1.3 h for uterine atony, surgical trauma/tears and other/unknown causes of PPH. The median time between PPH diagnosis and hysterectomy was shorter in Asia (0.8 h) than in Africa (1.6 h). The time from PPH to hysterectomy in Asia was 0.5 h for placenta praevia/accreta, 0.9 h for surgical trauma/tears and 1.0 h for uterine atony. The time from PPH to hysterectomy in Africa was 1.3 h for placenta praevia/accreta, 1.9 h for surgical trauma and 1.8 h for uterine atony.

Table 3 shows adjusted odds ratios (AOR) for the association between exposure variables and hysterectomy. Placenta praevia/accreta was associated with a threefold higher risk of peripartum hysterectomy than uterine atony (AOR 3.2, 95% CI: 2.7–3.8). The AORs for hysterectomy and maternal age was 1.6 (95% CI: 0.9–2.9) in 20–29 years, 4.0 (95% CI: 2.2–7.1) in 30–39 years and 7.6 (95% CI: 4.0–14.3) in ≥40 years compared to < 20 years. Mothers in Asia had a 23% higher risk of hysterectomy than mothers in Africa, although the estimate was imprecise in model 1. After adjusting for variables in model 2 the odds ratio for hysterectomy in women giving birth in Asia was 2.2 (95% CI: 1.5–3.1) compared to women giving birth in Africa. The odds of hysterectomy was fourfold higher in women having caesarean sections than in women delivering vaginally (AOR 4.3, 95% CI: 3.6–5.0). There was strong evidence that the association between type of delivery and hysterectomy varied by cause of haemorrhage (p-value for interaction < 0.001). The adjusted odds ratio for caesarean section and hysterectomy was 10.0 (95% CI: 6.2–16.0) in women with placenta praevia/accreta, 3.4 (95% CI: 2.8–4.3) in women with uterine atony and 3.7 (95% CI: 2.6–5.2) in women with surgical trauma/tears. Place of delivery was a negative confounder, that was not associated with hysterectomy on univariable analysis but became associated on multivariable analysis. Women who delivered somewhere other than study hospitals were one and half times more likely to undergo hysterectomy (AOR 1.6, 95% CI: 1.3–2.1).

Table 3 Adjusted odds ratios for risk factors of hysterectomy in women with postpartum haemorrhage
Full size table

In our cohort of 20,021 women, 483 (2%) died. Mortality from postpartum haemorrhage was 3% (375/12,718) in Africa, 2% in Asia (106/6173) and 0.2% (2/1130) in Europe and the Americas. Out of 1020 mothers who had hysterectomies, 163 died. The overall case fatality rate was 16 per 100 hysterectomies. Death rate among hysterectomy cases was higher in Africa than in Asia, and Europe and the Americas: 20 compared to 11 and 7 per 100 hysterectomies, respectively.

The following sensitivity analyses were carried out and they did not change the results of the main analysis: i) Women who died before having a hysterectomy were excluded from multivariable analysis, ii) Women with SBP ≤30 mmHg were excluded from final models, and iii) Sensitivity analysis for missing data for uterotonic prophylaxis was carried out by assessing odds ratios in extreme situations, when all women with missing data received uterotonic prophylaxis and vice versa.

Discussion

Our study shows that haemorrhage from placenta praevia/accreta increases the risk of peripartum hysterectomy. Other risk factors for hysterectomy are advanced maternal age, having a caesarean section and giving birth in Asia.

Our results should be interpreted in light of the study strengths and limitations. Data collection was complete and there was minimal missing data. The prospective collection of exposure data minimised recall and observer bias. The outcome, hysterectomy was an objective ascertainable variable unlikely to be misclassified. Measurement error may have occurred with age, SBP and volume of blood loss. In areas without legally enforced birth registration (e.g. some African and Asian countries), it can be argued that some women did not know their age reliably. Nonetheless, any misclassification was likely to be non-differential with minimal effect on result interpretation.

This study had a large sample size. Women were recruited from Africa and Asia where the incidence of PPH is high, thus increasing the study’s statistical power. Our results are generalizable to women with postpartum haemorrhage in low and middle income countries. However it is worth mentioning that the study sites were selected based on their ability to conduct a trial and the level of obstetric service available. Women, who deliver in hospitals involved in a multinational clinical trial, or are referred to them, may not be representative of all women who have PPH. Especially in regards to Africa and Asia, these women may be better off socioeconomically and medically, and our study may have excluded rural and poor women in these regions.

For multivariable analysis, we used sequential modelling of groups of risk factors according to their occurrence. This prevented adjusting for potential causal intermediates and allowed separation of confounding and mediating factors. We also adjusted for clustering at the hospital level. However, unmeasured confounding may have resulted from lack of data on risk factors such as parity and prior caesarean section. A further limitation of our study was the reporting of placenta praevia and accreta as one variable; it would have been informative to investigate each separately.

Our finding, of an increased risk of hysterectomy with abnormal placentation is consistent with other literature [1, 5, 7, 15, 16, 23]. In placenta accreta, the placental tissue invades the myometrium. After birth, it remains attached firmly to the uterine wall causing severe blood loss. The time to attempt conservative management is limited in placenta accreta, and obstetricians may proceed to hysterectomy directly. This is reflected by a shorter time gap between PPH diagnosis and hysterectomy in women with placenta praevia/accreta compared to other causes of haemorrhage. This pattern persisted after exclusion of women who were referred to study hospitals from elsewhere, to account for travel time. Some obstetricians opt for a conservative mode of treatment in abnormal placentation and leave the placenta in situ; however, this can lead to sepsis and secondary haemorrhage and ultimately hysterectomy [24]. Furthermore, haemostatic interventions in placenta praevia/accreta are associated with adverse effects. Radiological balloons, embolization and B-Lynch sutures can cause thrombosis, ischemia and neurological complications [24]. Risk factors for placenta accreta include previous caesarean section, other previous uterine surgery and advanced maternal age [25]. Caesarean section results in scarring of the uterus, which in later pregnancies predisposes to abnormal placentation [26]. The main indication for peripartum hysterectomy has shifted in recent decades from uterine atony to placenta accreta, in conjunction with a rise in caesarean delivery rates [27].

After adjusting for confounders, we found a higher risk of hysterectomy in older mothers. A lower threshold for hysterectomy in older women, who are likely to have more children, may explain this finding. We also found that having a caesarean section increases mothers’ risk of hysterectomy. One possible explanation for this observation is a lower threshold for hysterectomy during caesarean section, when the patient is already in the operating room and the uterus is readily accessible [18, 28]. In contrast, practitioners may be more likely to try other methods to control haemorrhage in vaginal deliveries because the uterus is not readily available for removal. Another explanation is that mothers undergo prenatal scanning with ultrasonography and magnetic resonance imaging [29]. Women with a prenatal diagnosis of placenta praevia/accreta are selected for caesarean section and may inevitably require a hysterectomy. In our cohort, the risk of hysterectomy associated with caesarean section varied by cause of haemorrhage. We found evidence that women with placenta praevia/accreta had a higher risk of hysterectomy associated with caesarean section than women with other causes of PPH.

Our results showed that mothers in Asia have a higher risk of hysterectomy than mothers in Africa. Caesarean section, which is a risk factor for hysterectomy, is carried out more frequently in Asia than in Africa [30]. The low rates of caesarean delivery in sub-Saharan Africa are presumably due to low levels of access to emergency surgical care, lack of skilled workers and poor infrastructure [31]. In the WOMAN trial, 25% of the deliveries in Africa were caesarean sections, compared to 37% in Asia and 32% in Europe and Americas. However, after adjusting for type of delivery and other potential confounders, the risk of hysterectomy remained high in Asia compared to other regions. This finding may be due to regional differences in obstetric practices and management of PPH. Although the risk of hysterectomy was higher in Asia than in Africa, mortality was lower (3% in Africa and 2% in Asia). Analysis of maternal mortality using country specific data found higher number of maternal deaths in Africa than in Asia [32]. It is possible that by carrying out hysterectomies promptly more lives are saved in Asia, and fewer mothers die from postpartum haemorrhage.

Conclusions

Our study found a strong association between placenta praevia/accreta and peripartum hysterectomy. Other significant risk factors include advanced maternal age, caesarean section and giving birth in Asia. Preventing avoidable causes of placenta accreta such as unnecessary caesarean sections is recommended. Further research is warranted to understand how maternal demographics and local culture affect decision making in emergency obstetric situations.

Abbreviations

AOR:

Adjusted odds ratio

CI:

Confidence interval

PPH:

Postpartum haemorrhage

SBP:

Systolic blood pressure

SD:

Standard deviation

WOMAN:

World Maternal Antifibrinolytic

References

  1. van den Akker T, Brobbel C, Dekkers OM, Bloemenkamp KW. Prevalence, indications, risk indicators, and outcomes of emergency peripartum hysterectomy worldwide: a systematic review and meta-analysis. Obstet Gynecol. 2016;128(6):1281–94.

    Article  PubMed  Google Scholar 

  2. Pattinson RC, Hall M. Near misses: a useful adjunct to maternal death enquiries. Br Med Bull. 2003;67:231–43.

    Article  PubMed  CAS  Google Scholar 

  3. Wright JD, Devine P, Shah M, Gaddipati S, Lewin SN, Simpson LL, et al. Morbidity and mortality of peripartum hysterectomy. Obstet Gynecol. 2010;115(6):1187–93.

    Article  PubMed  Google Scholar 

  4. Sakse A, Weber T, Nickelsen C, Secher NJ. Peripartum hysterectomy in Denmark 1995-2004. Acta Obstet Gynecol Scand. 2007;86(12):1472–5.

    Article  PubMed  Google Scholar 

  5. Campbell SM, Corcoran P, Manning E, Greene RA. Peripartum hysterectomy incidence, risk factors and clinical characteristics in Ireland. Eur J Obstet Gynecol Reprod Biol. 2016;207:56–61.

    Article  PubMed  Google Scholar 

  6. Knight M, Kurinczuk JJ, Spark P, Brocklehurst P. Cesarean delivery and peripartum hysterectomy. Obstet Gynecol 2008;111(1):97–105.

  7. Sahin S, Guzin K, Eroglu M, Kayabasoglu F, Yasartekin MS. Emergency peripartum hysterectomy: our 12-year experience. Arch Gynecol Obstet. 2014;289(5):953–8.

    Article  PubMed  Google Scholar 

  8. Wen SW, Huang L, Liston R, Heaman M, Baskett T, Rusen ID, et al. Severe maternal morbidity in Canada, 1991-2001. CMAJ. 2005;173(7):759–64.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Whiteman MK, Kuklina E, Hillis SD, Jamieson DJ, Meikle SF, Posner SF, et al. Incidence and determinants of peripartum hysterectomy. Obstet Gynecol. 2006;108(6):1486–92.

    Article  PubMed  Google Scholar 

  10. Awan N, Bennett MJ, Walters WA. Emergency peripartum hysterectomy: a 10-year review at the Royal Hospital for women, Sydney. Aust N Z J Obstet Gynaecol. 2011;51(3):210–5.

    Article  PubMed  Google Scholar 

  11. Omole-Ohonsi A, Olayinka HT. Emergency peripartum hysterectomy in a developing country. J Obstet Gynaecol Can. 2012;34(10):954–60.

    Article  PubMed  Google Scholar 

  12. Khan B, Khan B, Sultana R, Bashir R, Deeba FA. Ten year review of emergency peripartum hysterectomy in a tertiary care hospital. J Ayub Med Coll Abbottabad. 2012;24(1):14–7.

    Google Scholar 

  13. Bateman BT, Mhyre JM, Callaghan WM, Kuklina EV. Peripartum hysterectomy in the United States: nationwide 14 year experience. Am J Obstet Gynecol. 2012;206(1):63.e1–8.

    Article  Google Scholar 

  14. Yoong W, Massiah N, Oluwu A. Obstetric hysterectomy: changing trends over 20 years in a multiethnic high risk population. Arch Gynecol Obstet. 2006;274(1):37–40.

    Article  PubMed  Google Scholar 

  15. Bodelon C, Bernabe-Ortiz A, Schiff MA, Reed SD. Factors associated with peripartum hysterectomy. Obstet Gynecol. 2009;114(1):115–23.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Rossi AC, Lee RH, Chmait RH. Emergency postpartum hysterectomy for uncontrolled postpartum bleeding: a systematic review. Obstet Gynecol. 2010;115(3):637–44.

    Article  PubMed  Google Scholar 

  17. Kwee A, Bots ML, Visser GH, Bruinse HW. Emergency peripartum hysterectomy: a prospective study in the Netherlands. Eur J Obstet Gynecol Reprod Biol. 2006;124(2):187–92.

    Article  PubMed  Google Scholar 

  18. de la Cruz CZ, Thompson EL, O'Rourke K, Nembhard WN. Cesarean section and the risk of emergency peripartum hysterectomy in high-income countries: a systematic review. Arch Gynecol Obstet. 2015;292(6):1201–15.

    Article  PubMed  Google Scholar 

  19. WOMAN Trial Collaborators. Effect of early tranexamic acid administration on mortality, Hysterectomy, and other morbidities in women with post-partum haemorrhage (WOMAN): an international, randomised, double-blind, placebo-controlled trial. Lancet. 2017;389:2105–16.

  20. Shakur H, Elbourne D, Gulmezoglu M, Alfirevic Z, Ronsmans C, Allen E, et al. The WOMAN trial (world maternal Antifibrinolytic trial): tranexamic acid for the treatment of postpartum haemorrhage: an international randomised, double blind placebo controlled trial. Trials. 2010;11:40.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. StataCorp. Stata Statistical Software: Release 14. College Station: StataCorp LP; 2015.

    Google Scholar 

  22. Victora CG, Huttly SR, Fuchs SC, Olinto MT. The role of conceptual frameworks in epidemiological analysis: a hierarchical approach. Int J Epidemiol. 1997;26(1):224–7.

    Article  PubMed  CAS  Google Scholar 

  23. Machado LS. Emergency peripartum hysterectomy: incidence, indications, risk factors and outcome. N Am J Med Sci. 2011;3(8):358–61.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Chantraine F, Langhoff-Roos J. Abnormally invasive placenta--AIP. Awareness and pro-active management is necessary. Acta Obstet Gynecol Scand. 2013;92(4):369–71.

    Article  PubMed  Google Scholar 

  25. Fitzpatrick KE, Sellers S, Spark P, Kurinczuk JJ, Brocklehurst P, Knight M. Incidence and risk factors for placenta accreta/increta/percreta in the UK: a national case-control study. PLoS One. 2012;7(12):e52893.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Miller DA, Chollet JA, Goodwin TM. Clinical risk factors for placenta previa-placenta accreta. Am J Obstet Gynecol. 1997;177(1):210–4.

    Article  PubMed  CAS  Google Scholar 

  27. Flood KM, Said S, Geary M, Robson M, Fitzpatrick C, Malone FD. Changing trends in peripartum hysterectomy over the last 4 decades. Am J Obstet Gynecol. 2009;200(6):632.e1–6.

    Article  Google Scholar 

  28. Kacmar J, Bhimani L, Boyd M, Shah-Hosseini R, Peipert J. Route of delivery as a risk factor for emergent peripartum hysterectomy: a case-control study. Obstet Gynecol. 2003;102(1):141–5.

    PubMed  Google Scholar 

  29. Palacios-Jaraquemada JM. Diagnosis and management of placenta accreta. Best Pract Res Clin Obstet Gynaecol. 2008;22(6):1133–48.

    Article  PubMed  Google Scholar 

  30. Cavallaro FL, Cresswell JA, Franca GV, Victora CG, Barros AJ, Ronsmans C. Trends in caesarean delivery by country and wealth quintile: cross-sectional surveys in southern Asia and sub-Saharan Africa. Bull World Health Organ. 2013;91(12):914–22d.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Pearson L, Shoo R. Availability and use of emergency obstetric services: Kenya, Rwanda, southern Sudan, and Uganda. Int J Gynaecol Obstet. 2005;88(2):208–15.

    Article  PubMed  CAS  Google Scholar 

  32. WHO, UNICEF, UNFPA, United Nations, World Bank Group. Trends in maternal mortality: 1990 to 2015. Estimates by WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Divisions. Geneva: World Health Organization; 2015.

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Acknowledgements

The WOMAN trial collaborators and all the women who took part.

Funding

Funding for the WOMAN trial was provided by London School of Hygiene & Tropical Medicine, Pfizer, Department of Health (grant number HICF-T2–0510-007), the Wellcome Trust (grant number WT094947), and The Bill & Melinda Gates Foundation (grant number OPP1095618). The funders had no role in study design, data collection, analysis or interpretation, or writing of the manuscript.

Availability of data and materials

The datasets generated and analysed during the current study are not yet publicly available due to ongoing analyses of this recently completed trial. After publication of the planned primary and secondary analyses, the trial data will be made available via our data-sharing portal, The Free Bank of Injury and Emergency Research Data (freeBIRD) website at https://ctu-app.lshtm.ac.uk/freebird/.

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Authors and Affiliations

  1. Clinical Trials Unit, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, UK

    Sumaya Huque, Ian Roberts & Haleema Shakur-Still

  2. Department of Obstetrics and Gynaecology, National Institute of Maternal and Child Health, College of Medicine, University of Ibadan, Orita-Mefa, Ibadan, Nigeria

    Bukola Fawole

  3. Department of Obstetrics and Gynaecology, Rawalpindi Medical University, Rawalpindi, Pakistan

    Rizwana Chaudhri

  4. St George’s University, Cranmer Terrace, London, SW17 0RE, UK

    Sabaratnam Arulkumaran

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Contributions

SH and IR identified the research question. SH was responsible for the statistical analysis plan and data analysis. SH and IR drafted the manuscript. SH, IR, BF, RC, SA and HS-S contributed to the interpretation of the results, critical revisions of the manuscript and approved the final version.

Corresponding author

Correspondence to Ian Roberts.

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Ethics approval and consent to participate

This is a secondary analysis of the WOMAN trial data. The need for ethics approval and consent was waived as per national guidelines. The relevant ethics committees and regulatory agencies approved the consent procedures at each trial site for the original study. We obtained informed consent from women if their physical and mental capacity allowed. If a woman could not give consent, we obtained proxy consent from a relative or representative. If no proxy was available, then if local regulation allowed, we deferred or waived the consent. In these cases, we told the woman about the trial as soon as possible and obtained consent for use of the data collected. The consent procedures are described in detail in the Woman trial protocol.

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The authors declare that they have no competing interests.

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Huque, S., Roberts, I., Fawole, B. et al. Risk factors for peripartum hysterectomy among women with postpartum haemorrhage: analysis of data from the WOMAN trial. BMC Pregnancy Childbirth 18, 186 (2018). https://0-doi-org.brum.beds.ac.uk/10.1186/s12884-018-1829-7

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BMC Pregnancy and Childbirth

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