ArticleAJOG global reports2022
Reviewing the past to inform the future: an 8-year review of severe maternal morbidity.
Article in AJOG global reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors at 1 institution in 1 country.
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Abstract
backgroundMaternal morbidity is becoming a key indicator used to compare health systems in the developed world and also to inform clinical practice.
objectiveThis study aimed to evaluate a single center experience of severe maternal morbidity over an 8-year period. STUDY
designWe conducted a retrospective review of all cases of severe maternal morbidity from 2012 to 2019 at a tertiary level maternity hospital in the Republic of Ireland with approximately 9000 births per year. We examined maternal demographics, pregnancy characteristics, and care requirements. Descriptive statistics were used throughout.
resultsThere were 81,504 maternity cases and 67,894 births during the study period. A total of 504 women had a severe maternal morbidity, giving a rate of 6.1 per 1000 maternity cases overall, peaking in 2017 at 8.8 per 1000. When individual severe maternal morbidity events were evaluated, the rate increased from 6 per 1000 to 9 per 1000 over the 8-year period. There were no differences in maternal age, nationality, or body mass index during the years analyzed. Interestingly, 8.9% (n=45) were multiple gestations, and nearly one-fifth (19.4%; n=98) required escalation of care to a general hospital; of these, 14.0% (n=74) required cardiac or intensive care management. The majority of morbidities manifested in the third trimester (58.7%; n=296) or postnatally (42.8%, n=216). The most common severe maternal morbidities were hypertensive disorders of pregnancy, followed by postpartum hemorrhage and sepsis (45.0%, 44.2%, and 12.7%, respectively).
conclusionWe provide a longitudinal overview of severe maternal morbidity in a large maternity hospital that replicates other international findings. This information can be used for healthcare comparisons and for resource planning and allocation.
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