External Validation of the Clinical Obstetric Comorbidity Index across a Diverse Health System

The clinically-modified obstetric comorbidity index (OB-CMI) is a comorbidity-based scoring system that has been validated to predict severe maternal morbidity (SMM) in a single tertiary, academic hospital using an internal SMM definition. We aimed to validate the OB-CMI for the prediction of SMM as defined by the CDC during delivery admissions across a diverse health system.This is a retrospective cohort study evaluating all deliveries in a large health system encompassing academic and community hospitals. Data from 2019 to 2021 were extracted from the electronic health record (EHR) and validated with chart review. An OB-CMI score was calculated for each patient using established diagnosis codes and EHR data. The primary outcome was nontransfusion SMM (defined by the CDC) during the delivery admission. Patient characteristics were evaluated by the hospital, and hospital-specific receiver-operator characteristic (ROC) curves were constructed and compared.In total, 42,130 deliveries were included with significant differences in all demographic, clinical, and obstetric characteristics across the hospitals including age, BMI, race/ethnicity, insurance type, preterm birth, and preeclampsia rates. Median OB-CMI score and rate of elevated OB-CMI score (≥6) were also significantly different. ROC curves for OB-CMI and SMM for each hospital are noted in the figure with an area under the curve range from 0.77 to 0.83, and no significant differences across hospitals (<i>p</i> = 0.32).In a large cohort of patients delivering across a diverse hospital system, the clinical OB-CMI score similarly predicted SMM despite differences in demographic and clinical characteristics among the hospitals. This validation of the OB-CMI supports the use of this scoring system in variegated clinical settings, which can inform widescale uptake and clinical integration of OB-CMI scoring to improve obstetric risk stratification. · The clinically-modified OB-CMI consistently predicted nontransfusion SMM across multiple hospitals.. · This OB-CMI can be used for obstetric risk stratification across different clinical settings.. · Future research should explore the impact of using the OB-CMI to mitigate risk in clinical practice..

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Publication Details

Journal
American Journal of Perinatology
Published
2025-04-02
DOI
https://doi.org/10.1055/a-2572-1727
Citations
1
Primary Topic
Maternal and fetal healthcare
Type
article
Field-Weighted Citation Impact
3.49
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article

External Validation of the Clinical Obstetric Comorbidity Index across a Diverse Health System

Adina R. Kern‐Goldberger, Lisa Danielle Levine, Sindhu Kikkeri Srinivas, Michael O. Harhay
1 citations
American Journal of Perinatology
Maternal and fetal healthcare
3.49
article

External Validation of the Clinical Obstetric Comorbidity Index across a Diverse Health System

Adina R. Kern‐Goldberger, Lisa Danielle Levine, Sindhu Kikkeri Srinivas, Michael O. Harhay
article en
1 citations

Abstract

The clinically-modified obstetric comorbidity index (OB-CMI) is a comorbidity-based scoring system that has been validated to predict severe maternal morbidity (SMM) in a single tertiary, academic hospital using an internal SMM definition. We aimed to validate the OB-CMI for the prediction of SMM as defined by the CDC during delivery admissions across a diverse health system.This is a retrospective cohort study evaluating all deliveries in a large health system encompassing academic and community hospitals. Data from 2019 to 2021 were extracted from the electronic health record (EHR) and validated with chart review. An OB-CMI score was calculated for each patient using established diagnosis codes and EHR data. The primary outcome was nontransfusion SMM (defined by the CDC) during the delivery admission. Patient characteristics were evaluated by the hospital, and hospital-specific receiver-operator characteristic (ROC) curves were constructed and compared.In total, 42,130 deliveries were included with significant differences in all demographic, clinical, and obstetric characteristics across the hospitals including age, BMI, race/ethnicity, insurance type, preterm birth, and preeclampsia rates. Median OB-CMI score and rate of elevated OB-CMI score (≥6) were also significantly different. ROC curves for OB-CMI and SMM for each hospital are noted in the figure with an area under the curve range from 0.77 to 0.83, and no significant differences across hospitals (<i>p</i> = 0.32).In a large cohort of patients delivering across a diverse hospital system, the clinical OB-CMI score similarly predicted SMM despite differences in demographic and clinical characteristics among the hospitals. This validation of the OB-CMI supports the use of this scoring system in variegated clinical settings, which can inform widescale uptake and clinical integration of OB-CMI scoring to improve obstetric risk stratification. · The clinically-modified OB-CMI consistently predicted nontransfusion SMM across multiple hospitals.. · This OB-CMI can be used for obstetric risk stratification across different clinical settings.. · Future research should explore the impact of using the OB-CMI to mitigate risk in clinical practice..

American Journal of PerinatologyVol. 43(02)
Cleveland Clinic (US), Hospital of the University of Pennsylvania (US), Cleveland Foundation (US), Cleveland Clinic Lerner College of Medicine (US), Case Western Reserve University (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 11%
Maternal and fetal healthcare
3.49
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