Evidence map›Paper›PMID 40325179›Full record

ArticleScientific reports2025

Validation of the obstetric comorbidities index for predicting maternal mortality and severe maternal morbidity in South Korea.

Jin Young Nam

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. 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
–field-weighted citation impact
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.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

1 author.

Jin Young NamDepartment of Healthcare Management, Eulji University, Sanseongdae-ro 553, Sujeong-gu, Seongnam, Gyeonggi-do, South Korea. cellykelly01@gmail.com.ORCID http://orcid.org/0000-0003-0540-8753

Funding

National Research Foundation of Korea 2020R1C1C1013668
6 · The paper itself

Abstract

To validate the Obstetric Comorbidity Index (OB-CMI) and estimate its predictive and discriminative performance for maternal outcomes in the South Korean population. This study used data on births from the National Health Insurance Service Delivery Cohort database in South Korea. The data on pregnant people who gave birth during 2003-2019 were included. The obstetric comorbidities were identified using the Bateman's OB-CMI. The outcomes were severe maternal morbidity (SMM) as defined by the CDC in the US; severe acute maternal morbidity (SAMM), as defined by EURONET; and maternal death within 30 days postpartum. The predictive and discriminative abilities of the index were calculated using the Brier score and area under the receiver operating characteristic curve (AUC). Of 6,527,810 births, 143,392 (2.2%), 84,994 (1.3%), and 555 (< 0.1%) resulted in SMM, SAMM, and maternal death, respectively. The predictive ability and discriminative performance of the OB-CMI were moderate and good (Brier scores of 0.02, 0.01, and 0.00 and AUC of 0.72, 0.68, and 0.78 for SMM, SAMM, and maternal death, respectively). The OB-CMI demonstrated moderate and good predictive and discriminative performance for SMM, SAMM, and maternal mortality in the South Korean population. These findings align with previous research, supporting OB-CMI as a valuable tool for identifying high-risk pregnancies.

Indexed as

Maternal MortalityPregnancy ComplicationsAdultComorbidityDatabases, FactualFemaleHumansPregnancyRepublic of KoreaROC CurveYoung Adult

Identifiers

PMID40325179
PMCPMC12052820

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