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Updated: Dec 12, 2025

Anogenital Distance and Perineal Measurements of the Pelvic Organ Prolapse POP Quantification System
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An Expanded Obstetric Comorbidity Scoring System for Predicting Severe Maternal Morbidity.

Stephanie A Leonard1, Chris J Kennedy, Suzan L Carmichael

  • 1Departments of Obstetrics and Gynecology and Pediatrics and the California Maternal Quality Care Collaborative, Stanford University, Stanford, and the Division of Epidemiology and Biostatistics and the Berkeley Institute for Data Science, University of California, Berkeley, Berkeley, California.

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Summary

A new obstetric comorbidity score was developed to predict severe maternal morbidity. This validated tool improves comparisons of maternal health outcomes across diverse patient populations.

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Area of Science:

  • Obstetrics and Gynecology
  • Maternal Health
  • Health Services Research

Background:

  • Severe maternal morbidity (SMM) poses a significant public health challenge in the U.S.
  • Existing obstetric comorbidity indices may not be consistently applicable across diverse patient discharge data sets.
  • Accurate prediction of SMM is crucial for risk stratification and quality improvement initiatives.

Purpose of the Study:

  • To develop and validate an expanded obstetric comorbidity score for predicting severe maternal morbidity.
  • To ensure the score's consistent application across contemporary U.S. patient discharge data.
  • To enhance the ability to compare SMM rates across populations with varying comorbidity profiles.

Main Methods:

  • Utilized California birth hospitalization data (2016-2017) for score development.
  • Defined SMM using the CDC index and nontransfusion SMM.
  • Employed a targeted causal inference approach with machine learning to identify and rank 27 risk factors based on adjusted risk ratios (aRRs).

Main Results:

  • Developed a scoring system for comorbidities, ranging from 1 to 59 points for SMM.
  • Placenta accreta spectrum had the highest risk (aRR 30.5 for SMM), while gestational diabetes mellitus had the lowest (aRR 1.06 for SMM).
  • The expanded score demonstrated good performance (C-statistics 0.78-0.87) and outperformed prior indices in validation datasets.

Conclusions:

  • An expanded obstetric comorbidity score was successfully developed and validated.
  • The score facilitates improved comparisons of severe maternal morbidity rates across different patient populations.
  • This tool aids in standardizing the assessment of maternal morbidity risk in clinical practice and research.