Evidence map›Paper›PMID 41249993›Full record

ArticleBMC pregnancy and childbirth2025

Association between obstetric comorbidity index and complications of vaginal delivery: a large cross-sectional study from China.

Xin Shen, Ge Mu, Liu Yang, Hong Li, Yani Su

Abstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xin ShenMedical Record Center, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.
Ge MuBig Data Center, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China.
Liu YangShaanxi Provincial Health Information Center, Xi'an, Shaanxi, 710003, China.
Hong LiObstetrics department, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China. Lihongspph0609@126.com.
Yani SuBig Data Center, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, 710068, China. 15389078337@qq.com.

Funding

Natural Science Basic Research Program of Shaanxi Program No. 2024JC-YBQN-0913Scientific and technological personnel support program of Shaanxi Provincial People's Hospital Program No. 2022JY-40
6 · The paper itself

Abstract

backgroundThe incidence of vaginal delivery complications (VDCs) has been increasing globally in recent years, posing a significant threat to maternal and neonatal health. The obstetric comorbidity index (OB-CMI) is a widely recognized tool that quantifies the burden of maternal comorbidities and predicts severe maternal morbidity or mortality during delivery and puerperium. However, it remains unclear whether there is an association between OB-CMI and VDCs.

objectiveThe purpose of this study was to investigate the prevalence and spectrum of VDCs, and to explore the association between OB-CMI and VDCs.

methodsThis population-based cross-sectional study used data from the Shaanxi Province inpatients sample spanning from 2019 to 2022. We extracted all vaginal delivery data. Subsequently, maternal age and 20 comorbid conditions were assessed and weighted. The outcomes were the occurrence of VDCs. Cases of OB-CMI and VDCs were identified using the 10th Revision of the International Classification of Diseases (ICD-10) codes. The associations between OB-CMI and VDCs were estimated using logistic regression models, with both crude and adjusted models (for age, level of medical institution, and route of admission).

resultsA total of 536,362 women undergoing vaginal delivery were included in the study. The overall prevalence of VDCs in Shaanxi province, China, from 2019 to 2022 was 11.86%. The top five complications of vaginal delivery were retained placenta and membranes without hemorrhage, other obstetric injuries, postpartum hemorrhage, other complications of labor and delivery not classifiable elsewhere, and perineal lacerations during childbirth, collectively accounting for 99.3% of vaginal delivery complications. For each one-point increase in OB-CMI, there was a 10% increase of VDC incidence after adjustment. Among the different categories of VDCs, OB-CMI was associated with other obstetric lacerations (P = 0.002), postpartum hemorrhage (P < 0.001), retained placenta and fetal Membranes (P < 0.001), but not with perineal laceration (P = 0.175).

conclusionsThe OB-CMI is associated with increased risk of VDCs, indicating its potential to inform prenatal counseling and facilitate personalized delivery planning. Women with an OB-CMI score greater than 7 should be closely supervised during vaginal delivery, and vaginal delivery is not recommended for women with an OB-CMI score greater than 10.

Indexed as

Delivery, ObstetricObstetric Labor ComplicationsAdultChinaComorbidityCross-Sectional StudiesFemaleHumansPregnancyPrevalenceRisk FactorsChinaEvaluationObstetric comorbidity indexPrevalenceVaginal delivery complications

Identifiers

PMID41249993
PMCPMC12625260

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.