Evidence map›Paper›PMID 39604902›Full record

ArticleBMC pregnancy and childbirth2024

The obstetrics comorbidity index as a predictive tool for risk-appropriate maternal care.

Allison R McCarter, Regan N Theiler, Megan E Branda, Rebecca M Smith, Emily E Sharpe, Vanessa E Torbenson

Abstract read
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

6 authors.

Allison R McCarterMayo Clinic Department of Obstetrics and Gynecology, 200 1stSt SW, Rochester, MN, 55905, USA.
Regan N TheilerMayo Clinic Department of Obstetrics and Gynecology, 200 1stSt SW, Rochester, MN, 55905, USA.
Megan E BrandaMayo Clinic Department of Quantitative Health Sciences,, 200 1stSt SW, Rochester, MN, 55905, USA.
Rebecca M SmithMayo Clinic Department of Obstetrics and Gynecology, 200 1stSt SW, Rochester, MN, 55905, USA.
Emily E SharpeMayo Clinic Department of Anesthesia, 200 1stSt SW, Rochester, MN, 55905, USA.
Vanessa E TorbensonMayo Clinic Department of Obstetrics and Gynecology, 200 1stSt SW, Rochester, MN, 55905, USA. torbenson.vanessa@mayo.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to assess the correlation between obstetric co-morbidity index (OBCMI) and severe maternal morbidity (SMM) in antepartum obstetrics transfers. By utilizing a population of transfers to a level IV maternal care facility, we hope to demonstrate validity for the use of OBCMI in the triage of transfer to provide risk-appropriate maternal care.

methodsAntepartum obstetrics transfers to a single level IV maternal care facility from 1/1/2016 to 12/31/2020 that resulted in delivery during the same encounter were included in this retrospective study. The components of the OBCMI score were retrospectively collected by manual chart review of transfer and admission notes in the electronic medical record (EMR). SMM was determined via ICD-10 and CPT code extraction from time of transfer through six weeks postpartum and confirmed by the same reviewer. Mode of delivery, length of stay, ICU admission, readmission and reoperation were obtained via institutional databases and manual EMR review.

resultsAmong 561 transfers meeting the inclusion criteria, the median OBCMI was significantly higher for transfers with a maternal-only indication (n = 232) compared to fetal-only( n = 282) (median [IQR], 6 [4-8], 5 [4-6], and 1 [0-2] for maternal-only, maternal-fetal combined (n = 47), and fetal-only; p < 0.001). The prevalence of SMM was 16.8% (39/232), 27.7% (13/47), 2.1% (6/282), p < 0.0001 for those transferred for maternal, fetal and maternal, and fetal only indications respectively. The median (IQR) OBCMI score was 5 (4-8) and 3 (1-5) for those with versus without SMM. A cut-off OBCMI score of ≥ 4 was identified with 81% sensitivity (95% CI 68.6-90.1%) in predicting SMM (P = < .0001) and was noted to be significantly associated with operative delivery, blood transfusion, ICU admission, prolonged hospitalization, and reoperation. Using a cut-off OBCMI score of ≥ 4 on the population transferred for maternal and maternal-fetal combined indications only (279) yielded a specificity of 90.4% and sensitivity of 23.8% (p = 0.024).

conclusionOBCMI was demonstrated to discriminate for SMM in a population of obstetrics transfers to a Level IV maternal care facility. When stratifying for maternal indicated transfers, the ability of OBCMI as a predictive tool decreased. The obtained cutoff OBCMI value of ≥ 4 had high specificity but may miss a significant population that would benefit from transfer. Use of the OBCMI may be too crude of a measure to provide a comprehensive risk assessment to predict SMM and adverse obstetrics outcomes. Further studies that may include newer tools such as machine learning may be necessary to develop a more clinically useful tool.

Indexed as

Pregnancy ComplicationsAdultComorbidityDelivery, ObstetricFemaleHumansLength of StayMaternal Health ServicesPatient TransferPregnancyRetrospective StudiesRisk AssessmentTriageHemorrhageMaternal deathObstetrics comorbidity indexRisk assessmentSevere maternal morbidity

Identifiers

PMID39604902
PMCPMC11600594

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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.