SPEC-AI Nigeria
Trial question
What is the role of artificial intelligence-guided screening for pregnancy-related cardiomyopathy in pregnant and postpartum women?
Study design
Multi-center
Open label
RCT
Population
1195 female patients.
Inclusion criteria: pregnant or postpartum (up to 12 months) women aged 18-49 years.
Key exclusion criteria: complex congenital heart disease; notable cardiac conduction abnormalities; inability to provide informed consent.
Interventions
N=587 AI-guided screening (artificial intelligence-guided screening for cardiomyopathy, using an artificial intelligence-enabled digital stethoscope and ECG).
N=608 usual care (standard 12-lead clinical ECG in addition to usual care as dictated by the managing physician).
Primary outcome
Detection of left ventricular systolic dysfunction, using an AI-enabled digital stethoscope in AI group
4.1%
2%
4.1 %
3.1 %
2.0 %
1.0 %
0.0 %
AI-guided
screening
Usual
care
Significant
increase ▲
NNT = 47
Significant increase in detection of LV systolic dysfunction, using an AI-enabled digital stethoscope in AI group (4.1% vs. 2%; OR 2.12, 95% CI 1.05 to 4.27).
Secondary outcomes
No significant difference in detection of LV systolic dysfunction, using an AI-enabled ECG in AI group (3.4% vs. 2%; OR 1.75, 95% CI 0.85 to 3.62).
No significant difference in adverse cardiovascular outcomes (9.5% vs. 8.7%; OR 1.1, 95% CI 0.74 to 1.64).
Significant increase in all-cause mortality (2% vs. 0.5%; HR 4.2, 95% CI 1.18 to 14.87).
Safety outcomes
No significant difference in adverse events.
Conclusion
In pregnant or postpartum (up to 12 months) women aged 18-49 years, AI-guided screening was superior to usual care with respect to detection of LV systolic dysfunction, using an AI-enabled digital stethoscope in AI group.
Reference
Demilade A Adedinsewo, Andrea Carolina Morales-Lara, Bosede B Afolabi et al. Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial. Nat Med. 2024 Oct;30(10):2897-2906.
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