Objective
To develop and validate a maternal comorbidity index to predict severe maternal morbidity, defined as the occurrence of acute maternal end-organ injury, or mortality.
Methods
Data were derived from the Medicaid Analytic eXtract for the years 2000 to 2007. The primary outcome was defined as the occurrence of maternal end-organ injury or death during the delivery hospitalization through 30 days postpartum. The dataset was randomly divided into a 2/3 development cohort and a 1/3 validation cohort. Using the development cohort, a logistic regression model predicting the primary outcome was created using a stepwise selection algorithm that included 24-candidate comorbid conditions and maternal age. Each of the conditions included in the final model was assigned a weight based on its beta coefficient, and these were used to calculate a maternal comorbidity index.
Results
The cohort included 854,823 completed pregnancies of which 9,901 (1.2%) were complicated by the primary study outcome. The derived score included 20 maternal conditions and maternal age. For each point increase in the score, the odds ratio for the primary outcome was 1.37, 95% Confidence Interval (CI) 1.35 to 1.39. The c-statistic for this model was 0.657, 95% CI 0.647 – 0.666. The derived score performed significantly better than available comorbidity indexes in predicting maternal morbidity and mortality.
Conclusion
This new maternal morbidity index provides a simple measure for summarizing the burden of maternal illness for use in the conduct of epidemiologic, health services, and comparative effectiveness research.