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First trimester screening for pre-eclampsia and targeted aspirin prophylaxis: a cost-effectiveness cohort study
Diane Nzelu1, Tom Palmer2, Daniel Stott1
1Fetal Medicine Unit, University College London Hospital, Elizabeth Garrett Anderson Institute for Women's Health, London, UK.
Insights
The Fetal Medicine Foundation (FMF) algorithm for first trimester pre-eclampsia screening is more cost-effective than standard care. This method reduces preterm pre-eclampsia cases, saving costs and improving quality-adjusted life years (QALYs).
Area of Science:
- Maternal-fetal medicine
- Health economics
- Clinical screening algorithms
Background:
- Pre-eclampsia poses significant risks to maternal and fetal health.
- Current screening methods, like the NICE guideline, may not be optimally effective.
- Early and accurate screening is crucial for timely intervention and improved outcomes.
Purpose of the Study:
- To evaluate the cost-effectiveness of the Fetal Medicine Foundation (FMF) algorithm for first-trimester pre-eclampsia screening.
- To compare the FMF algorithm with standard care (NICE method) in terms of clinical outcomes and economic impact.
- To assess the role of targeted aspirin prophylaxis in conjunction with screening.
Main Methods:
- A retrospective observational study involving 5957 pregnancies at a London tertiary hospital.
- Comparison of pregnancy outcomes (pre-eclampsia, term pre-eclampsia, preterm pre-eclampsia) using Kruskal-Wallis and Chi-square tests.
- Retrospective application of the FMF algorithm and a decision analytic model to estimate costs and QALYs gained per pregnancy screened.
Main Results:
- The FMF algorithm identified 15.9% screen-positive cases, compared to 12.8% with the NICE method.
- Aspirin was not prescribed in 25% of NICE screen-positive cases.
- The FMF algorithm was associated with 7 fewer cases of preterm pre-eclampsia, a cost saving of £9.06, and a QALY gain of 0.00006 per pregnancy screened.
Conclusions:
- The Fetal Medicine Foundation (FMF) algorithm demonstrates clinical benefit and economic cost savings in first-trimester pre-eclampsia screening.
- Application of the FMF algorithm leads to a reduction in preterm pre-eclampsia.
- This screening approach offers a more cost-effective strategy compared to standard care.
Objective:
Investigate cost-effectiveness of first trimester pre-eclampsia screening using the Fetal Medicine Foundation (FMF) algorithm and targeted aspirin prophylaxis in comparison with standard care.
Design:
Retrospective observational study.
Setting:
London tertiary hospital.
Population:
5957 pregnancies screened for pre-eclampsia using the National Institute for Health and Care Excellence (NICE) method.
Methods:
Differences in pregnancy outcomes between those who developed pre-eclampsia, term pre-eclampsia and preterm pre-eclampsia were compared by the Kruskal-Wallis and Chi-square tests. The FMF algorithm was applied retrospectively to the cohort. A decision analytic model was used to estimate costs and outcomes for pregnancies screened using NICE and those screened using the FMF algorithm. The decision point probabilities were calculated using the included cohort.
Main Outcome Measures:
Incremental healthcare costs and QALY gained per pregnancy screened.
Results:
Of 5957 pregnancies, 12.8% and 15.9% were screen-positive for development of pre-eclampsia using the NICE and FMF methods, respectively. Of those who were screen-positive by NICE recommendations, aspirin was not prescribed in 25%. Across the three groups, namely, pregnancies without pre-eclampsia, term pre-eclampsia and preterm pre-eclampsia there was a statistically significant trend in rates of emergency caesarean (respectively 21%, 43% and 71.4%; P < 0.001), admission to neonatal intensive care unit (NICU) (5.9%, 9.4%, 41%; P < 0.001) and length of stay in NICU. The FMF algorithm was associated with seven fewer cases of preterm pre-eclampsia, cost saving of £9.06 and QALY gain of 0.00006/pregnancy screened.
Conclusions:
Using a conservative approach, application of the FMF algorithm achieved clinical benefit and an economic cost saving.
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