Evidence map›Paper›PMID 39217290›Full record

ArticleBMC pregnancy and childbirth2024

Nomogram based on clinical characteristics and ultrasound indicators for predicting severe postpartum hemorrhage in patients with anterior placenta previa combined with previous cesarean section: a retrospective case-control study.

Pin Cao, Lu Ji, Chong Qiao

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Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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5 · Who and what money

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3 authors.

Pin CaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Lu JiDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China.
Chong QiaoDepartment of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, 110004, China. qiaochong2002@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlacental accreta spectrum disorders (PAS) are a high-risk group for severe postpartum hemorrhage (SPPH), with the incidence of PAS increasing annually. Given that cesarean section and anterior placenta previa are the primary risk factors for PAS, therefore, our study aims to investigate the predictive value of clinical characteristics and ultrasound indicators for SPPH in patients with anterior placenta previa combined with previous cesarean section, providing a theoretical basis for early prediction of SPPH.

methodsA total of 450 patients with anterior placenta previa combined with previous cesarean section were retrospectively analyzed at Shengjing Hospital affiliated with China Medical University between January 2018 and March 2022. Clinical data and ultrasound indicators were collected. Patients were categorized into SPPH (blood loss >2000mL, 182 cases) and non-SPPH (blood loss ≤ 2000mL, 268 cases) groups based on the blood loss within 24 h postpartum. The population was randomly divided into training and validation cohorts at a 7:3 ratio. LASSO and multifactorial logistic regression analyses were utilized to identify independent risk factors for SPPH. Accordingly, a nomogram prediction model was constructed, the predictive performance was assessed using receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA).

resultsAmong the 450 patients, 182 experienced SPPH (incidence rate, 40.44%). Preoperative systemic immune-inflammatory index, preoperative D-dimer level, preoperative placenta accreta spectrum ultrasound scoring system (PASUSS) score, and one-step-conservative surgery were identified as independent risk factors for SPPH in patients with anterior placenta previa combined with previous cesarean section. A nomogram was constructed based on these factors. The areas under the ROC curves for the training and validation cohorts were 0.844 (95%CI: 0.801-0.888) and 0.863 (95%CI: 0.803-0.923), respectively. Calibration curves and DCA indicated that this nomogram demonstrated good predictive accuracy.

conclusionsThis nomogram presents an effective and convenient prediction model for identifying SPPH in patients with anterior placenta previa combined with previous cesarean section. It can guide surgical planning and improve prognosis.

Indexed as

Cesarean SectionNomogramsPlacenta PreviaPostpartum HemorrhageAdultCase-Control StudiesChinaFemaleHumansPlacenta AccretaPredictive Value of TestsPregnancyRetrospective StudiesRisk AssessmentRisk FactorsROC CurveAnterior placenta previaPlacental accreta spectrum disordersPrediction modelPrevious cesarean sectionSevere postpartum hemorrhage

Identifiers

PMID39217290
PMCPMC11365194

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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.