215 posters, 5 topics, 22 sessions, 596 authors, 283 institutions
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Obstetric Anaesthesia Annual Scientific Meeting 2025
May 15 - 16, 2025 | ICC, 2 Lanyon Place, Belfast BT1 3WH

6781088
Clustering of preconception morbidities in Scotland: a population-based study
Poster Presenter
Authors
Sarjit Singh, Martin Shaw, Lawlor Deborah, Nelson Scott, Rachel Kearns
Affiliations
Part of Topic
Original Research
CLUSTERING OF PRECONCEPTION MORBIDITIES IN SCOTLAND: A POPULATION-BASED STUDY
Sarjit Singh1, Martin F Shaw1, Deborah A Lawlor2, Scott M Nelson1, Rachel J Kearns1
1University of Glasgow, 2University of Bristol
BACKGROUND
• Multimorbidity (MM) is defined as two or more chronic conditions in a person1
• MM is associated with adverse maternal and neonatal outcomes2
• Preconception multimorbidity lacks a consensus definition, with current definitions overlooking shared mechanisms or pathophysiology
• We aimed to identify condition clusters, explore shared mechanisms, and assess associations with adverse maternal / neonatal outcomes
METHODS
• A population-based study of all nulliparous women delivering in Scotland from Jan 2010 to May 2023
• Chronic conditions defined by the Chronic Condition Indicator Refined system3; chronic prescriptions defined as >4 prescriptions for a drug class in 1 year
• Clustering of chronic conditions/prescriptions using Ward’s D2 method4
• Outcomes: maternal/neonatal readmission, critical care admission, or death up to 6 weeks post-delivery
• Statistical analysis: logistic regression adjusting for maternal age, smoking, drug use and ethnicity
RESULTS
• 248,817 nulliparous women delivered in our study period across the whole of Scotland
• 119,014 (47.8%) had a chronic condition / prescription allowing them to be clustered
• We identified 20 distinct clusters
• Most common clusters:
• Cluster 14: Obesity with depression (30,075 25.3%)
• Cluster 12: Isolated obesity (26,387 22.2%)
• Cluster 11: Atopy (10,065 8.46%)
• Adverse outcomes in 7,730 (3.11%) mothers and 45,805 (18.4%) neonates.
• Most adverse events were in cluster 13 (Figure 1):
• Cluster 13 captured endocrine diseases (including diabetes, thyroid, adrenal pathologies and prescriptions)
• Maternal aRR: 3.21 (95% CI: 2.61 - 3.94)
• Neonatal aRR: 3.29 (95% CI: 3.01 - 3.59)
CONCLUSIONS
• We identified 20 clusters of comorbidities
• We observed a disproportionately high likelihood of maternal and neonatal adverse outcomes in women with preconception endocrine disease
• Further work will assess how these clusters of comorbidities interact and aid antenatal risk assessment
Refences
1 – Lee SI,, et al. Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018. BMC Pregnancy Childbirth 2022; 22:120
2 – Brown HK, McKnight A, Aker A. Association between pre-pregnancy multimorbidity and adverse maternal outcomes. Journal of Multimorbidity & Comorbidity 2022
3 – Healthcare Cost and Utilization Project. Chronic Condition Indicator Refined. 2023. https://hcup-us.ahrq.gov/toolssoftware/chronic_icd10/chronic_icd10.jsp
4 – Ward JH. Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 1963 58, 236–244.
