Recurrence of Severe Maternal Morbidity and Transfusion During Delivery Hospitalisations: A Retrospective Cohort Study.

ABSTRACT Objective Design Population Methods Results Conclusion To determine risks for non‐transfusion severe maternal morbidity and transfusion during a second delivery hospitalisation based on clinical risk factors and obstetric complications from an index, first delivery hospitalisation.Retrospective cohort.Delivery hospitalisations in the 2010–2017 New York State Inpatient Database.Patients with a first index delivery hospitalisation followed by a second delivery hospitalisation during the study period were included. Clinical risk factors and obstetric complications were obtained from the first index delivery hospitalisation. Adjusted logistic regression models for non‐transfusion severe maternal morbidity during the second delivery were performed with adjusted (aORs) odds ratios as measures of effect. These analyses were then repeated for the outcome of transfusion.Of 624 500 paired delivery hospitalisations to 312 250 women, severe maternal morbidity occurred among 0.85% of second deliveries (n = 2672). When adjusted analysis was performed, several clinical factors were associated with severe maternal morbidity in a subsequent pregnancy, including severe maternal morbidity during the index pregnancy (aOR 8.4, 95% CI 7.0, 9.9), transfusion (aOR 2.0, 95% CI 1.6, 2.4) and pregestational diabetes (aOR 2.2, 95% 1.6, 2.9). When analyses were repeated for transfusion, several factors were associated with increased risk, including severe maternal morbidity (aOR 1.5, 95% CI 1.2, 1.8), index transfusion (aOR 6.3, 95% CI 5.6, 7.0), chronic heart disease (aOR 1.6, 95% 1.4, 1.9) and pregestational diabetes (aOR 1.7, 95% 1.3, 2.2).Many obstetric complications and chronic conditions identified during an index delivery hospitalisation are associated with severe morbidity during a second, subsequent delivery. Index severe maternal morbidity is associated with the highest odds. These findings may be of use in patient counselling and risk stratification. [ABSTRACT FROM AUTHOR]