Skip to main content

Risk factors of severe postpartum hemorrhage in pregnant women with placenta previa or low-lying placenta: a retrospective cohort study

Abstract

Background

The severe postpartum hemorrhage (SPPH) leads to dangerous maternal conditions, and its rate is still increasing and the trend in related risk factors is changing. Placenta-related problems remain the high-risk factor for SPPH. The object is to investigate the prevalence and the risk factors of the severe postpartum hemorrhage in pregnant women with placenta previa or low-lying placenta.

Method

A retrospective analysis of pregnant women with placenta previa or low-lying placenta after 28 weeks gestation from May 2018 to May 2023 in the Peking Union Medical College Hospital was conducted. The primary outcome was severe postpartum hemorrhage defined as blood loss ≥ 1000 mL within 24 h of childbirth, or with signs or symptoms of low blood volume requiring transfusion of ≥ 4U of red blood cells. Univariate and multivariate logistic regression were used to identify potential risk factors of severe postpartum hemorrhage and receiver operating curve to evaluate the prediction performance.

Results

Of the 14,964 women, 201 met the inclusive criteria. SPPH rate was 1.3% overall and 18.9% in women with placenta previa or low-lying placenta. Weight (aOR = 0.93, 95%CI 0.87–0.99), increta or percreta placenta (aOR = 7.93, 95%CI 2.53–24.77) were the risk factors. The area under the ROC curve was 0.69(95%CI 0.59–0.80) for increta or percreta placenta alone, and 0.72(95%CI 0.62–0.82) for the combination of times of cesarean sections and anterior placenta.

Conclusions

Placenta accreta spectrum was the key independent risk factor of SPPH in women with placenta previa or low-lying placenta. Antenatal risk assessment of SPPH in these population is highly desirable and optimal intervention could be planned.

Peer Review reports

Background

Postpartum hemorrhage (PPH) is the leading cause of maternal morbidity and mortality globally [1, 2]. Compared to normal postpartum hemorrhage, severe postpartum hemorrhage (SPPH) lead to both severe maternal and infant complications and death [3, 4]. Once severe postpartum hemorrhage is predicted accurately, prompt management may significantly improve the outcomes.

Despite all efforts, the severe postpartum hemorrhage rate is still increasing and the trend in related risk factors is changing [5]. Placenta previa remains the high-risk factor for SPPH. Several studies [6,7,8,9]have investigated the prediction model for PPH in pregnancies with placenta previa or low-lying placenta. However, all studies are at high risk of bias due to the limited sample size [5]. And the definition of SPPH varied from 1000 to 2000 ml blood loss or from 4 to 8U red blood cells transfusion. Thus, there is still a lack of reliable prediction method for the SPPH. The aim of this study is to identify the risk factors for severe postpartum hemorrhage defined by the Chinese guideline [10] in women with placenta previa or low-lying placenta and enable planned intervention to decrease SPPH.

Methods

The retrospective study was performed in women gave birth in the Peking Union Medical College Hospital from May 2018 to May 2023. The inclusive criteria were: maternal age of above 18 years, giving birth after 28 weeks of gestational, with placenta previa or low-lying placenta. Placenta previa is defined as when placenta adjacent to, reached or covered the cervical os according to the last obstetrical ultrasound assessment. It includes placenta previa (placenta completely or partially covering the cervix os) and low-lying placenta (placental edge measuring < 2 cm from the cervical os) [11].

The outcome was severe postpartum hemorrhage defined as blood loss ≥ 1000 mL within 24 h of childbirth, or with signs or symptoms of low blood volume requiring transfusion of ≥ 4U of red blood cells, regardless of the mode of delivery [10]. Placenta accreta spectrum was suspected by the ultrasound or the magnetic resonance imaging, and diagnosed by the failure of placenta detachment during delivery. PAS was classified into accreta, increta, or percreta according to increasing depth of perceived invasion within the myometrium [12].

Based on previous relevant studies and medical files, the data of the maternal characteristics, obstetric-related factors, maternal and neonatal outcomes were collected.

The maternal characteristics were: age, weight (refers to the pre-pregnancy weight), height, gravidity, parity.

The obstetric-related factors were: weight gain during pregnancy, method of conception, fetus number, hematology before delivery (hemoglobin, hematocrit, platelet count, weight blood cell), pregnant complications (hypertensive disorders of pregnancy, gestational diabetes mellitus), times of abortions, mode of abortion, gestational week of delivery, times of previous cesarean sections, type of placenta previa, main position of placenta, type of placenta accreta spectrum.

The maternal and neonatal outcomes were: mode of delivery, uterine artery embolization or ligation, hysterectomy, length of hospital stay, maternal admission to the intensive care unit, premature birth, neonatal asphyxia, neonatal admission to the intensive care unit.

Ethical approval for the study was obtained from the ethics committee of Peking Union Medical College Hospital (reference number, I-22PJ720). Written informed consent was waived due to the non-interventional retrospective nature of the study and impossibility of obtaining patient consent retrospectively.

Medians, interquartile ranges, and Mann–Whitney U test were used for data description and comparision for continuous variables; numbers, percentages and χ2 or Fisher’s exact test for categorical variables. The risk factors were preliminarily analyzed by univariable analysis to explore the relationship. And the multivariate logistic regression was conducted to eliminate the potential confounders and identify the independent risk factors. Statistical software package SPSS 27.0 was used for data analyses.

Results

Study population

A total of 14,964 women gave birth in Peking Union Medical College Hospital from May 2018 to May 2023. There are 201 (1.34%) women had placenta previa or low-lying placenta and the incidence of SPPH (18.9%, 38/201) is much higher than the general population (1.3%). The characteristics and the relevant factors are summarized in Table 1. The median (IQR) maternal age was 35.5 (32.0–38.0) years, median height was 162.0 (160.0-165.0) centimeters, median weight was 59.0(54.8–62.0) kilograms, median gravidity was 2.0 (1.0–3.0) times, median hemoglobin was 119.0( 111.0-127.0) g/L, median platelet count was 194.0(164.5–228.0) *109 g/L; 120 (59.7%) were nulliparous, 82 (40.8%) were preterm birth, 137(68.2%) were with placenta previa and 64(31.8%) with low-lying placenta, 51 (25.4%) were with placenta accreta spectrum and of whom 33(16.4%) with increta or percreta placenta and 18(9.0%) with accreta placenta.

The incidence of SPPH was 42.5% in women with previous cesarean sections in the context of the placenta previa or low-lying placenta, 33.9% in women with anterior-placenta, 54.5% in women with increta or percreta placenta, 73.3% in women with anterior-placenta and previous cesarean sections.

Table 1 Characteristics of the women with placenta previa

Risk factors of SPPH

In the univariate analysis, factors associated with a higher risk of SPPH were: weight, gravidity, parity, gestational week of delivery, times of abortion, times of previous cesarean sections, type of placenta previa, main position of placenta, increta or percreta placenta. In the multivariate analysis, the independent risk factors were increta or percreta placenta (aOR = 7.93, 95%CI 2.53–24.77) and weight (aOR = 0.93, 95%CI 0.87–0.99) (See Table 2).

Table 2 Risk factors for severe postpartum hemorrhage: univariate and multivariate analysis

Receiver operating characteristic curves (ROC)

The ROC curves of different factors to predict SPPH were presented in Fig. 1. The area under the ROC curve was 0.66(95%CI 0.55–0.77) for the times of previous cesarean sections, 0.58(95%CI 0.49–0.68) for type of placenta previa, 0.65(95%CI 0.55–0.75) for main position of placenta, 0.69(95%CI 0.59–0.80) for increta or percreta placenta, and 0.72(95%CI 0.62–0.82) for combination of times of cesarean sections and anterior placenta .

Fig. 1
figure 1

ROC for times of previous cesarean sections, type of placenta previa, main position of placenta, increta or percreta placenta, combination of times of cesarean sections and anterior placenta

Maternal and neonatal outcomes

Maternal and neonatal outcomes were showed in Tables 3 and 4. Women with SPPH had higher rates of uterine artery embolization or ligation, hysterectomy, length of hospital stay and maternal admission to the intensive care unit; their babies had higher rates of premature birth, neonatal asphyxia and neonatal admission to the intensive care unit.

Table 3 Maternal outcomes
Table 4 Neonatal outcomes

Discussion

The temporal most rapid increasing risk factors for SPPH are the placenta-related problems [5, 13]. Our study focused on the high-risk population, namely with placenta previa or low-lying placenta, and investigated the risk factors for SPPH based on this context. Antenatal prediction of SPPH in these population is highly desirable because outcomes are optimized when pregnancies are transferred and deliveries occur at high level maternal care facility.

The rate and definition of SPPH varied according to different nation guidelines. Given the varied individual tolerance, the definition of blood loss ≥ 1000 mL within 24 h of childbirth, or with signs or symptoms of low blood volume requiring transfusion of ≥ 4U of red blood cells are more reliable in Chinese population. The rate of SPPH of our study is 18.9%, which is in accordance with the Asian data in the previous meta-analysis [14].

Women with placenta previa or low-lying placenta are at high risk of adverse outcomes, including PPH [15]. Compared with low-lying placenta, placenta previa have a higher risk of PPH [16, 17]. In terms of SPPH, whether low-lying placenta and placenta previa were statistically significant for SPPH is not consistent [6,7,8,9, 18]. Our study indicated that the severity of placenta previa is not the risk factor for SPPH.

The location of the placenta was studied and the anterior placenta was the risk factor for both SPPH [9] and placenta accreta spectrum [19, 20] in women with placenta previa. Our study demonstrated that the anterior placenta was risk factor in univariate analysis but not independent in multivariate analysis, which may imply that the anterior placenta may cause SPPH through placenta accreta spectrum.

The placenta accreta spectrum underwent the largest increasing change for PPH due to the increasing cesarean delivery rate in China and across the world [5, 13, 21, 22]. Consistent to previous studies [6,7,8,9], our study showed that placenta accreta spectrum was the key independent risk factor for SPPH in women with placenta previa. The risk factors for placenta accreta spectrum in our population were presented in Table S1. and further illustrate that the times of cesarean section and anterior placenta may cause SPPH by increasing the rate of placenta accreta spectrum.

However, the prenatal diagnosis of placenta accreta spectrum and placental implantation degree is complex [23, 24] and the definite diagnosis was made after delivery. And 50-66.7% of the prenatal diagnosis in China are missed [12]. Thus, we analyzed the more available major confounders, the times of cesarean section and anterior placenta, and the AUC of the combined factors was 0.72(95%CI 0.62–0.82) and it was also with moderate performance.

Weight was another independent risk factor and the definition of SPPH considered individual tolerance in our study. It indicated that pregnant women with lower body weight have lower capacity and are more prone to severe postpartum hemorrhage and blood transfusion.

Lower pre-pregnancy weight indicated that patients have poor tolerance to bleeding, making them more susceptible to hemorrhagic shock and in need of blood transfusion. Increta or percreta placenta was the key risk factor for SPPH in pregnancies with placenta previa or low-lying placenta. The times of cesarean section and anterior placenta may cause SPPH through the increasing risk of increta or percreta placenta. These risk factors may be useful to predict the high-risk population. Caution should be exercised for placental accreta spectrum and severe postpartum hemorrhage on the basis of a history of cesarean section combined with low-lying or previa placenta, since clinical detection rate of placental accreta spectrum during pregnancy is unsatisfactory. Timely referral to a qualified hospital for delivery is necessary, and more thorough screening and optimal treatment strategy could be planned to decrease the rate of the SPPH and the maternal-fetal mortality.

The main limitation of our study was that it was a retrospective study in a single center with limited patient number. And our hospital, as a tertiary hospital, received a large number of critically ill obstetric patients transferred from other hospitals in northern China. Potential recall bias might occur when the maternal characteristics (such as pre-pregnancy weight) were collected after referral. It might limit the generalizability of the findings. Secondly, some detailed imaging data were lacking for further analysis. Future large-scale cohort researches and multi-center prospective studies should be performed.

Data availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Abbreviations

PPH:

postpartum hemorrhage

SPPH:

severe postpartum hemorrhage

CS:

cesarean section

aOR:

Adjusted odds ratio

CI:

Confidence interval

ROC:

Receiver operating characteristic curve

References

  1. Practice Bulletin No. 183: Postpartum Hemorrhage. Obstet Gynecol. 2017;130(4):e168–86.

    Article  Google Scholar 

  2. Prevention and Management of Postpartum Haemorrhage. Green-top Guideline 52 Bjog. 2017;124(5):e106–49.

    Google Scholar 

  3. Creanga AA, Berg CJ, Syverson C, Seed K, Bruce FC, Callaghan WM. Pregnancy-related mortality in the United States, 2006–2010. Obstet Gynecol. 2015;125(1):5–12.

    Article  PubMed  Google Scholar 

  4. Tsamantioti E, Sandström A, Muraca GM, Joseph KS, Remaeus K, Razaz N. Severe maternal morbidity surveillance, temporal trends and regional variation: a population-based cohort study. BJOG. 2024;131(6):811–22.

    Article  PubMed  Google Scholar 

  5. Neary C, Naheed S, McLernon DJ, Black M. Predicting risk of postpartum haemorrhage: a systematic review. BJOG. 2021;128(1):46–53.

    Article  PubMed  Google Scholar 

  6. Baba Y, Ohkuchi A, Usui R, Suzuki H, Kuwata T, Matsubara S. Calculating probability of requiring allogeneic blood transfusion using three preoperative risk factors on cesarean section for placenta previa. Arch Gynecol Obstet. 2015;291(2):281–5.

    Article  PubMed  Google Scholar 

  7. Chen C, Liu X, Chen D, Huang S, Yan X, Liu H, et al. A risk model to predict severe postpartum hemorrhage in patients with placenta previa: a single-center retrospective study. Ann Palliat Med. 2019;8(5):611–21.

    Article  PubMed  Google Scholar 

  8. Kim JW, Lee YK, Chin JH, Kim SO, Lee MY, Won HS, et al. Development of a scoring system to predict massive postpartum transfusion in placenta previa totalis. J Anesth. 2017;31(4):593–600.

    Article  PubMed  Google Scholar 

  9. Lee JY, Ahn EH, Kang S, Moon MJ, Jung SH, Chang SW, et al. Scoring model to predict massive post-partum bleeding in pregnancies with placenta previa: a retrospective cohort study. J Obstet Gynaecol Res. 2018;44(1):54–60.

    Article  PubMed  Google Scholar 

  10. Obstetrics Subgroup CSoOaG, Chinese Medical Association. Guidelines for prevention and treatment of postpartum hemorrhage (2023). Chin J Obstet Gynecol. 2023;58(06):401–9.

    Google Scholar 

  11. Obstetrics Subgroup CSoOaG, Chinese Medical Association. Guidelines for the diagnosis and management of placenta previa (2020). Chin J Obstet Gynecol. 2020;55(1):3–8.

    Google Scholar 

  12. Obstetrics Subgroup CSoOaG, Chinese Medical Association. Guideline for diagnosis and treatment of placenta accreta spectrum disorders (2023). Chin J Perinat Med. 2023;26(8):617–27.

    Google Scholar 

  13. Corbetta-Rastelli CM, Friedman AM, Sobhani NC, Arditi B, Goffman D, Wen T. Postpartum Hemorrhage trends and outcomes in the United States, 2000–2019. Obstet Gynecol. 2023;141(1):152–61.

    Article  PubMed  Google Scholar 

  14. Fan D, Xia Q, Liu L, Wu S, Tian G, Wang W, et al. The Incidence of Postpartum Hemorrhage in pregnant women with Placenta Previa: a systematic review and Meta-analysis. PLoS ONE. 2017;12(1):e0170194.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Jain V, Bos H, Bujold E, Guideline. 402: diagnosis and management of Placenta Previa. J Obstet Gynaecol Can. 2020;42(7):906–e171.

    Article  PubMed  Google Scholar 

  16. Bhide A, Prefumo F, Moore J, Hollis B, Thilaganathan B. Placental edge to internal os distance in the late third trimester and mode of delivery in placenta praevia. BJOG. 2003;110(9):860–4.

    Article  PubMed  Google Scholar 

  17. Bi S, Zhang L, Wang Z, Chen J, Tang J, Gong J, et al. Effect of types of placenta previa on maternal and neonatal outcomes: a 10-year retrospective cohort study. Arch Gynecol Obstet. 2021;304(1):65–72.

    Article  PubMed  Google Scholar 

  18. Kayem G, Seco A, Vendittelli F, Crenn Hebert C, Dupont C, Branger B, et al. Risk factors for placenta accreta spectrum disorders in women with any prior cesarean and a placenta previa or low lying: a prospective population-based study. Sci Rep. 2024;14(1):6564.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Liu H, Zhang B, Wang W, Li H, Huang X, Wang J, et al. Effect of placenta location detected by ultrasound on the severity of placenta accreta spectrum in patients with placenta previa and placenta accreta spectrum. BMC Pregnancy Childbirth. 2023;23(1):406.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Jing L, Wei G, Mengfan S, Yanyan H. Effect of site of placentation on pregnancy outcomes in patients with placenta previa. PLoS ONE. 2018;13(7):e0200252.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Liu CN, Yu FB, Xu YZ, Li JS, Guan ZH, Sun MN, et al. Prevalence and risk factors of severe postpartum hemorrhage: a retrospective cohort study. BMC Pregnancy Childbirth. 2021;21(1):332.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Silver RM, Landon MB, Rouse DJ, Leveno KJ, Spong CY, Thom EA, et al. Maternal morbidity associated with multiple repeat cesarean deliveries. Obstet Gynecol. 2006;107(6):1226–32.

    Article  PubMed  Google Scholar 

  23. Cahill AG, Beigi R, Heine RP, Silver RM, Wax JR. Placenta Accreta Spectrum. Am J Obstet Gynecol. 2018;219(6):B2–16.

    Article  PubMed  Google Scholar 

  24. Jauniaux E, Alfirevic Z, Bhide AG, Belfort MA, Burton GJ, Collins SL, et al. Placenta Praevia and Placenta Accreta: diagnosis and management: Green-top Guideline No. 27a. BJOG. 2019;126(1):e1–48.

    PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

The study was supported by National Key Research and Development Program (2022YFC2704505) and Level Hospital Clinical Research Funding(2022-PUMCH-B-075).

Author information

Authors and Affiliations

Authors

Contributions

Jinsong Gao, Huiying Hu, Liying Wang designed the study, participated in the operation, and drafted the manuscript. Liying Wang, Ziyi Chen, Xiaoxu Chen, Pingping Tang, Yifeng Zhong collected the clinical data and performed the statistical analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jinsong Gao.

Ethics declarations

Ethics approval and consent to participate

Ethical approval for the study was obtained from the ethics committee of Peking Union Medical College Hospital (reference number, I-22PJ720). Written informed consent was waived due to the retrospective study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, H., Wang, L., Gao, J. et al. Risk factors of severe postpartum hemorrhage in pregnant women with placenta previa or low-lying placenta: a retrospective cohort study. BMC Pregnancy Childbirth 24, 674 (2024). https://doi.org/10.1186/s12884-024-06876-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12884-024-06876-3

Keywords