Development and internal validation of a model predicting severe
maternal morbidity using variables available pre-conception and in early
pregnancy: a population-based study
Abstract
Objective: To improve the prediction of maternal end-organ injury or
death using routinely-collected variables from the pre-pregnancy and the
early pregnancy period. Design: Population-based cohort study using
linked administrative health data. Setting: Ontario, Canada, April 1,
2006 to March 31, 2014. Sample: Women aged 18-60 years with a livebirth
or stillbirth, of which one birth was randomly selected per woman.
Methods and main outcome measures: We constructed a CPM for the primary
composite outcome of any maternal end-organ injury or death, arising
between 20 weeks’ gestation and 42 days after the birth hospital
discharge date. Our CPM included variables collected from 12 months
before estimated conception until 19 weeks’ gestation. We developed a
separate CPM for parous women to allow for the inclusion of factors from
previous pregnancy(ies). Results: Of 634,290 women, 1969 experienced the
primary composite outcome (3.1 per 1000). Predictive factors in the main
CPM included maternal world region of origin, chronic medical
conditions, parity, and obstetrical/perinatal issues – with moderate
model discrimination (C-statistic 0.68, 95% CI 0.66-0.69). Among
333,435 parous women, the C-statistic was 0.71 (0.69-0.73) in the model
using variables from the current (index) pregnancy as well as
pre-pregnancy predictors and variables from any previous pregnancy.
Conclusions: A combination of factors ascertained early in pregnancy
through a basic medical history help to identify women at risk for
severe morbidity, who may benefit from targeted preventive and
surveillance strategies including appropriate specialty-based antenatal
care pathways. Further refinement of this model would enable clinical
use.