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Validation of an Extended Maternal Comorbidity Index for Prediction of Severe Maternal Morbidity
Ann M Bruno1, Grecio J Sandoval, Brenna L Hughes
1University of Utah Health Sciences Center, Salt Lake City, Utah; The George Washington University Biostatistics Center, Washington, DC; the University of North Carolina at Chapel Hill, Chapel Hill, North Carolina; Northwestern University, Chicago, Illinois; the University of Texas Medical Branch, Galveston, and the University of Texas Health Science Center at Houston, Children's Memorial Hermann Hospital, Houston, Texas; the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland; the University of Pittsburgh, Pittsburgh, and the University of Pennsylvania, Philadelphia, Pennsylvania; Brown University, Women and Infants Hospital of Rhode Island, Providence, Rhode Island; Columbia University, New York, New York; Case Western Reserve University, Cleveland, and The Ohio State University, Columbus, Ohio; and the University of Alabama at Birmingham, Birmingham, Alabama.
The expanded maternal comorbidity index developed by Leonard et al uses pre-existing maternal health conditions (eg, hypertension, asthma) to produce a risk score that predicts severe maternal morbidity (SMM). This tool has been adopted into clinical and research use without external validation in a data source not reliant on administrative codes. We assessed the validity of the maternal comorbidity index to predict SMM in a modern obstetric cohort using data derived from detailed medical record abstraction. In this secondary analysis of a multicenter cohort of patients delivering at 17 U.S. hospitals (2019-2020), the maternal comorbidity index risk score was applied to all individuals and the performance of the score to predict SMM was assessed using the area under the receiver operating curve (AUC). Of 20,898 individuals in this cohort, 668 (3.2%) experienced SMM. The AUC for the maternal comorbidity index was 0.72 (95% CI, 0.70-0.74) to predict SMM and 0.83 (95% CI, 0.79-0.86) to predict SMM without transfusion. The expanded maternal comorbidity index for prediction of SMM was externally valid, and findings support the ongoing use of this tool.
The expanded maternal comorbidity index developed by Leonard et al uses pre-existing maternal health conditions (eg, hypertension, asthma) to produce a risk score that predicts severe maternal morbidity (SMM). This tool has been adopted into clinical and research use without external validation in a data source not reliant on administrative codes. We assessed the validity of the maternal comorbidity index to predict SMM in a modern obstetric cohort using data derived from detailed medical record abstraction. In this secondary analysis of a multicenter cohort of patients delivering at 17 U.S. hospitals (2019-2020), the maternal comorbidity index risk score was applied to all individuals and the performance of the score to predict SMM was assessed using the area under the receiver operating curve (AUC). Of 20,898 individuals in this cohort, 668 (3.2%) experienced SMM. The AUC for the maternal comorbidity index was 0.72 (95% CI, 0.70-0.74) to predict SMM and 0.83 (95% CI, 0.79-0.86) to predict SMM without transfusion. The expanded maternal comorbidity index for prediction of SMM was externally valid, and findings support the ongoing use of this tool.
