Evidence map›Paper›PMID 37559229›Full record

ArticleAnesthesia and pain medicine2023

Risk factors for severe postpartum hemorrhage requiring blood transfusion after cesarean delivery for twin pregnancy: a nationwide cohort study.

Gi Hyeon Seo, Jong Yeop Kim, Da Yeong Lee, Changjin Lee, Jiyoung Lee

Open access · goldAbstract read
In one paragraph

Article in Anesthesia and pain medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Gi Hyeon SeoHealth Insurance Review and Assessment Service, Wonju, Korea.
Jong Yeop KimDepartment of Anesthesiology and Pain Medicine, Ajou University School of Medicine, Suwon, Korea.
Da Yeong LeeDepartment of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Changjin LeeDepartment of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
Jiyoung LeeDepartment of Anesthesiology and Pain Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.
CHA University Bundang Medical Center · KRAjou University · KRHealth Insurance Review and Assessment Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostpartum hemorrhage (PPH) is a leading cause of maternal morbidity and mortality. Twin pregnancy and cesarean delivery are well-known risk factors for PPH. However, few studies have investigated PPH risk factors in mothers who have undergone cesarean delivery for twin pregnancies. Therefore, this study investigated the risk factors associated with severe PPH after cesarean delivery for twin pregnancies.

methodsWe searched and reviewed the Korean Health Insurance Review and Assessment Service's claims data from July 2008 to June 2021 using the code corresponding to cesarean delivery for twin pregnancy. Severe PPH was defined as hemorrhage requiring red blood cell (RBC) transfusion during the peripartum period. The risk factors associated with severe PPH were identified among the procedure and diagnosis code variables and analyzed using univariate and multivariate logistic regressions.

resultsWe analyzed 31,074 cesarean deliveries for twin pregnancies, and 4,892 patients who underwent cesarean deliveries for twin pregnancies and received RBC transfusions for severe PPH were included. According to the multivariate analysis, placental disorders (odds ratio, 4.50; 95% confidence interval, 4.09- 4.95; P < 0.001), general anesthesia (2.33, 2.18-2.49; P < 0.001), preeclampsia (2.20, 1.99-2.43; P < 0.001), hemolysis, elevated liver enzymes, low platelets (HELLP) syndrome (2.12, 1.22-3.68; P = 0.008), induction failure (1.37, 1.07-1.76; P = 0.014), and hypertension (1.31, 1.18-1.44; P < 0.001) predicted severe PPH.

conclusionsPlacental disorders, hypertensive disorders such as preeclampsia and HELLP syndrome, and induction failure increased the risk of severe PPH after cesarean delivery for twin pregnancy.

Indexed as

Blood transfusionCesarean sectionMorbidityNational cohortPostpartum hemorrhagePregnancy, twin.

Identifiers

PMID37559229
PMCPMC10635857
OpenAlexW4385647802

What OpenQuestion holds

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LicenceCC BY-NC
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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.