Evidence map›Paper›PMID 38851669›Full record

ArticleBMC pregnancy and childbirth2024

Validation of a modified obstetric comorbidity index for prediction of postpartum adverse events including fetal morbidity - a retrospective cohort study from Qatar.

Fouad Chaalan, Fathima Minisha, Zehra Zaidi, Alaa Babekar, Huda Abullah Hussain Saleh, Zeena Saeed Bu Shurbak, Mariam Al Baloushi, Alaa Alnaama, Husham Ahmed, Isaac Babarinsa and 4 more

Abstract readValidation Study
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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Fouad ChaalanDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Fathima MinishaDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar. fminisha@hamad.qa.
Zehra ZaidiDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Alaa BabekarDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Huda Abullah Hussain SalehDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Zeena Saeed Bu ShurbakDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Mariam Al BaloushiDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Alaa AlnaamaDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Husham AhmedDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Isaac BabarinsaDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Nader Al DewikDepartment of Research, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Abdulrouf PallivalapilaDepartment of Research, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Victor OlagundoyeDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.
Thomas FarrellDepartment of Obstetrics and Gynecology, Women's Wellness and Research Centre, Hamad Medical Corporation, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Obstetric Comorbidity Index (OBCMI) is an internationally validated scoring system for maternal risk factors intended to reliably predict the occurrence of severe maternal morbidity (SMM). This retrospective cohort study applied the OBCMI to pregnant women in Qatar to validate its performance in predicting SMM and cumulative fetal morbidity.

methodsData from 1000 women who delivered in July 2021 in a large tertiary centre was extracted from medical records. The OBCMI index included maternal demographics, pre-existing comorbidities, and various current pregnancy risk factors such as hypertension, including preeclampsia, intrauterine fetal death, prolonged rupture of membranes and unbooked pregnancies. SMM was based on the ACOG consensus definition, and the cumulative fetal morbidity (CFM) included fetal distress in labour, low APGAR and umbilical artery (UA) pH, admission to neonatal intensive care (NICU), and hypoxic-ischemic encephalopathy (HIE). A c-statistic or area under curve (AUC) was calculated to determine the ability of OBCMI to predict SMM and CFM.

resultsThe median OBCMI score for the cohort was 1 (interquartile range- 0 to 2); 50% of women scored 0, while 85% (n = 842) had a score ranging from 0 to 2. Ten women (1%) scored ≥ 7; the highest score was 10. The incidence of SMM was 13%. According to the modified scoring system, the mean OBCMI score in those who developed SMM was 2.18 (± 2.20) compared to a mean of 1.04 (± 1.40) in those who did not (median 1, IQR:1-3 versus median 0, IQR: 0-2; p < 0.001). The incidence of CFM was 11.3%. The incidence of low APGAR score, HIE and NICU admission was nearly 1 in 1000. Around 5% of the babies had fetal distress in labour and low UA pH. For every 1 unit increase in OBCMI score, the odds of SMM increased by 44% (OR 1.44 95% CI 1.30-1.59; p < 0.001; AUC 0.66), and CFM increased by 28% (OR 1.28 95% CI 1.15-1.42; p < 0.001; AUC 0.61). A cut-off score of 4 had a high specificity (> 90%); 1 in 4 and 1 in 6 women with OBCMI score ≥ 4 developed SMM and CFM, respectively.

conclusionThe OBCMI performed moderately well in predicting SMM in pregnant women of Qatar and can be effectively used as a risk assessment tool to red-flag high-risk cases so that appropriate and timely multidisciplinary care can be initiated to reduce SMM and maternal mortality. The index is also helpful in predicting fetal morbidity; however, further prospective studies are required to validate OBCMI for CFM.

Indexed as

Pregnancy ComplicationsAdultCohort StudiesComorbidityFemaleFetal DistressHumansInfant, NewbornPregnancyQatarRetrospective StudiesRisk AssessmentRisk FactorsFetal morbidityMaternal risk assessmentOBCMIObstetric comorbidity indexSevere maternal morbidity

Identifiers

PMID38851669
PMCPMC11161943

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