A contemporary perspective on predicting early postpartum hemorrhage: risk factor stratification for developing a predictive scoring system

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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; Moscow

Irina 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; Moscow

Dzhamilia 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, Moscow

Yulia 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; Moscow

Anastasia 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, Moscow

Nikolay 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

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