A contemporary perspective on predicting early postpartum hemorrhage: risk factor stratification for developing a predictive scoring system
- Authors: Gutsu V.1,2, Timokhina E.V.1,2, Ignatko I.V.1,2, Sarakhova D.K.2, Popova Y.M.2, Reshetnikov S.G.2, Lyubchich N.I.2, Fedyunina I.A.1,2, Churganova A.A.1, Kovalev N.N.1, Dedova E.N.1
-
Affiliations:
- Sechenov First Moscow State Medical University (Sechenov University)
- City Clinical Hospital n.a. S.S. Yudin
- Issue: Vol 12, No 4 (2025)
- Pages: 462-473
- Section: Original study articles
- URL: https://journals.rcsi.science/2313-8726/article/view/376625
- DOI: https://doi.org/10.17816/aog690539
- EDN: https://elibrary.ru/EAVCFQ
- ID: 376625
Cite item
Abstract
BACKGROUND: Early postpartum hemorrhage is a life-threatening complication that requires emergency care and a multidisciplinary approach. In addition to the main etiological causes of hemorrhage (the 4T concept), the influence of other factors has been identified, the study of which allows for the development of predictive scoring systems, differentiated preventive strategies, and minimization of the risk of early postpartum hemorrhage.
AIM: To identify factors influencing the development of early postpartum hemorrhage, stratify the obtained data, and develop a risk assessment scoring system for this complication.
METHODS: A retrospective case–control study was conducted. The main group (n = 219) included women whose deliveries were complicated by early postpartum hemorrhage, whereas the control group (n = 219) consisted of women without postpartum hemorrhage. A list of potential factors determining the risk of postpartum hemorrhage (comprising 38 parameters in total) was compiled. The effect of each parameter on hemorrhage risk was assessed using odds ratios with 95% confidence intervals, p values for statistical significance, and the Student t test. Logistic regression analysis was used to stratify the impact of predictors on the development of early postpartum hemorrhage.
RESULTS: Statistical analysis identified 25 factors that significantly increased the risk of postpartum hemorrhage. Oligohydramnios at the time of hospitalization increased the risk of postpartum hemorrhage by 1.6 times, polyhydramnios by 1.7 times, premature rupture of membranes by 1.7 times, class I obesity by 1.9 times, class II obesity by 2.2 times, gestational diabetes mellitus by 2.0 times, and the presence of a uterine scar after cesarean delivery or myomectomy by 2.2 times. Using logistic regression analysis and odds ratio data, these predictors were successfully stratified and integrated into a unified scoring system for assessing the risk of early postpartum hemorrhage.
CONCLUSION: The proposed risk stratification score for postpartum hemorrhage serves as a clinical decision support tool in urgent settings, enabling rapid and objective assessment of early postpartum hemorrhage risk, timely implementation of preventive measures, and improvement of maternal outcomes.
About the authors
Vladimir Gutsu
Sechenov First Moscow State Medical University (Sechenov University); City Clinical Hospital n.a. S.S. Yudin
Author for correspondence.
Email: gutsu_vladimir@mail.ru
ORCID iD: 0009-0000-3712-3280
SPIN-code: 5362-3441
Russian Federation, Moscow; Moscow
Elena V. Timokhina
Sechenov First Moscow State Medical University (Sechenov University); City Clinical Hospital n.a. S.S. Yudin
Email: timokhina_e_v@staff.sechenov.ru
ORCID iD: 0000-0001-6628-0023
SPIN-code: 4946-8849
MD, Dr. Sci. (Medicine), Assistant Professor
Russian Federation, Moscow; MoscowIrina V. Ignatko
Sechenov First Moscow State Medical University (Sechenov University); City Clinical Hospital n.a. S.S. Yudin
Email: ignatko_i_v@staff.sechenov.ru
ORCID iD: 0000-0002-9945-3848
SPIN-code: 8073-1817
MD, Dr. Sci. (Medicine), Professor, Corresponding Member of the Russian Academy of Sciences
Russian Federation, Moscow; MoscowDzhamilia Kh. Sarakhova
City Clinical Hospital n.a. S.S. Yudin
Email: SarakhovaDK@zdrav.mos.ru
ORCID iD: 0009-0008-0531-0899
SPIN-code: 9194-9863
MD, Cand. Sci. (Medicine)
Russian Federation, MoscowYulia M. Popova
City Clinical Hospital n.a. S.S. Yudin
Email: yulia.mp@bk.ru
ORCID iD: 0009-0003-7375-5666
SPIN-code: 6889-6038
Russian Federation, Moscow
Stanislav G. Reshetnikov
City Clinical Hospital n.a. S.S. Yudin
Email: dr.reshetnikov@gmail.com
ORCID iD: 0009-0000-3239-1948
Russian Federation, Moscow
Natalya I. Lyubchich
City Clinical Hospital n.a. S.S. Yudin
Email: lubchich@mail.ru
ORCID iD: 0009-0009-7358-9198
Russian Federation, Moscow
Irina A. Fedyunina
Sechenov First Moscow State Medical University (Sechenov University); City Clinical Hospital n.a. S.S. Yudin
Email: fedyunina_i_a@staff.sechenov.ru
ORCID iD: 0000-0002-9661-5338
SPIN-code: 1929-5879
MD, Cand. Sci. (Medicine), Assistant Professor
Russian Federation, Moscow; MoscowAnastasia A. Churganova
Sechenov First Moscow State Medical University (Sechenov University)
Email: churganova_a_a@staff.sechenov.ru
ORCID iD: 0000-0001-9398-9900
SPIN-code: 3872-7167
MD, Cand. Sci. (Medicine), Assistant Professor
Russian Federation, MoscowNikolay N. Kovalev
Sechenov First Moscow State Medical University (Sechenov University)
Email: kov.nickolay@icloud.com
ORCID iD: 0000-0001-6537-8424
Russian Federation, Moscow
Elizaveta N. Dedova
Sechenov First Moscow State Medical University (Sechenov University)
Email: 08liza2004@rambler.ru
ORCID iD: 0009-0009-0687-2962
Russian Federation, Moscow
References
- Post SE, Rood KM, Kiefer MK. Interventions of postpartum hemorrhage. Clin Obstet Gynecol. 2023;66(2):367–383. doi: 10.1097/GRF.0000000000000785
- Baev OR, Davydov AI. Post-partum hemorrhage: obstetric tactics and intensive therapy. Gynecology, Obstetrics and Perinatology. 2011;10(6):65–69. EDN: OPGLUN
- Olenev AS, Novikova VA, Radzinsky VE. World conceptual approaches to reduce maternal mortality. Obstetrics and gynecology. News. Views. Education. 2018;6(S3):5–17. doi: 10.24411/2303-9698-2018-13901 EDN: DLZBIJ
- Say L, Chou D, Gemmill A, et al. Global causes of maternal death: a who systematic analysis. Lancet Glob Health. 2014;2(6):e323–e333. doi: 10.1016/S2214-109X(14)70227-X
- Kurtser MA, Normantovich TO, Grigoryan AM, et al. Immediate and long-term results of temporary balloon occlusion of the common iliac arteries in placental ingrowth. Gynecology, Obstetrics and Perinatology. 2022;21(1):116–122. doi: 10.20953/1726-1678-2022-1-116-122 EDN: ULMDOM
- Serov VN. Prevention of maternal mortality. Russian Journal of Woman and Child Health. 2008;16(1):1–4. (In Russ.) EDN: THWQQJ
- Savelyeva GM, Kurtser MA, Shalina RI. Maternal mortality and ways of its reduction. Akusherstvo i Ginekologiya. 2009;(3):11–14. EDN: KWRWCB
- Bayev OR. Prevention of afterbirth and early postpartum hemorrhage. What drugs are to be used? Akusherstvo i Ginekologiya. 2011;(7-1):16–20. EDN: PFTVBN
- Omotayo MO, Abioye AI, Kuyebi M, Eke AC. Prenatal anemia and postpartum hemorrhage risk: A systematic review and meta-analysis. J Obstet Gynaecol Res. 2021;47(8):2565–2576. doi: 10.1111/jog.14834
- Patek K, Friedman P. Postpartum hemorrhage-epidemiology, risk factors, and causes. Clin Obstet Gynecol. 2023;66(2):344–356. doi: 10.1097/GRF.0000000000000782
- Massoth C, Helmer P, Pecks U, et al. Postpartale hämorrhagie [Postpartum hemorrhage]. Anasthesiol Intensivmed Notfallmed Schmerzther. 2023;58(10):583–597. German. doi: 10.1055/a-2043-4451
- Corvino F, Giurazza F, Vallone M, et al. Postpartum hemorrhage: rescue. Semin Ultrasound CT MR. 2021;42(1):75–84. doi: 10.1053/j.sult.2020.09.001
- Feduniw S, Warzecha D, Szymusik I, Wielgos M. Epidemiology, prevention and management of early postpartum hemorrhage — a systematic review. Ginekol Pol. 2020;91(1):38–44. doi: 10.5603/GP.2020.0009
- Gallos I, Devall A, Martin J, et al. Randomized trial of early detection and treatment of postpartum hemorrhage. N Engl J Med. 2023;389(1):11–21. doi: 10.1056/NEJMoa2303966
- Alexander J, Thomas P, Sanghera J. Treatments for secondary postpartum haemorrhage. Cochrane Database Syst Rev. 2002;(1):CD002867. doi: 10.1002/14651858.CD002867
- Rizvi F, Mackey R, Barrett T, et al. Successful reduction of massive postpartum haemorrhage by use of guidelines and staff education. BJOG. 2004;111(5):495–498. doi: 10.1111/j.1471-0528.2004.00103.x
- Mehrabadi A, Hutcheon JA, Lee L, et al. Epidemiological investigation of a temporal increase in atonic postpartum haemorrhage: a population-based retrospective cohort study. BJOG. 2013;120(7):853–862. doi: 10.1111/1471-0528.12149
- Ende HB, Lozada MJ, Chestnut DH, et al. Risk factors for atonic postpartum hemorrhage: a systematic review and meta-analysis. Obstet Gynecol. 2021;137(2):305–323. doi: 10.1097/AOG.0000000000004228
- Bienstock JL, Eke AC, Hueppchen NA. Postpartum hemorrhage. N Engl J Med. 2021;384(17):1635–1645. doi: 10.1056/NEJMra1513247
- Hirshberg A, Kern-Goldberger AR, Levine LD, et al. Care of critically ill pregnant patients with coronavirus disease 2019: a case series. Am J Obstet Gynecol. 2020;223(2):286–290. doi: 10.1016/j.ajog.2020.04.029
- Auger N, Ukah UV, Wei SQ, et al. Impact of Covid-19 on risk of severe maternal morbidity. Crit Care. 2023;27(1):344. doi: 10.1186/s13054-023-04584-6
- Ye W, Luo C, Huang J, et al. Gestational diabetes mellitus and adverse pregnancy outcomes: systematic review and meta-analysis. BMJ. 2022;377:e067946. doi: 10.1136/bmj-2021-067946
- Susanu C, Hărăbor A, Vasilache IA, et al. Predicting Intra- and Postpartum Hemorrhage through Artificial Intelligence. Medicina (Kaunas). 2024;60(10):1604. doi: 10.3390/medicina60101604
- Yamaguchi T, Kyozuka H, Ito M, et al. Predicting postpartum hemorrhage in women undergoing planned cesarean section: A multicenter retrospective cohort study in Japan. PLoS One. 2024;19(7):e0306488. doi: 10.1371/journal.pone.0306488
- Holcroft S, Karangwa I, Little F, et al. Predictive modelling of postpartum haemorrhage using early risk factors: a comparative analysis of statistical and machine learning models. Int J Environ Res Public Health. 2024;21(5):600. doi: 10.3390/ijerph21050600
Supplementary files


