AI-guided screening study
Nigeria has the highest reported incidence of peripartum cardiomyopathy mortality (1 in 100 live births) and the highest number of maternal deaths.
In the United States, where rates of peripartum cardiomyopathy are much lower, maternal deaths are nevertheless higher than in other developed countries and have trended up over the past 3 decades; cardiomyopathy is a key contributor.
The investigators enrolled 1,195 women who were pregnant or had given birth in the past 12 months. The patients were from six teaching hospitals in Nigeria (two in the north and four in the south). They were randomly assigned in a 1:1 ratio to the intervention group (587) or the control group (608).
In the intervention group, clinicians used a smart stethoscope to record a phonocardiogram and a single-lead ECG reading in the V2 position and in an angled position on the patient’s chest wall and to record an ECG from the patient’s fingers. The recordings were sent to a Bluetooth-enabled mobile device (tablet or smartphone), which displayed the phonocardiogram and ECG images and that indicated whether the ejection fraction was normal or low. All patients in the intervention group received an echocardiogram.
In the control group, patients received usual care plus a traditional ECG. They were not required to have an echocardiogram because undergoing an echocardiogram is not part of usual care; however, they could receive an echocardiogram if the ECG suggested that they might need further testing.
The mean age of all the patients was 31 years, and all were Black. At study entry, 73% were pregnant, and 26% were post partum. They had similar comorbidities.
The primary outcome, cardiomyopathy (LVEF <50%) was detected in 24 of 587 patients (4.1%) in the intervention group and in 11 of 608 patients (1.8%) in the control group (odds ratio, 2.3; 95% confidence interval, 1.1-4.8; P = .02).
For the detection of LVEF <50%, the sensitivity was 92% and the specificity was 80%. For the detection of LVEF <40% (a secondary outcome), the sensitivity was 100% and the specificity was 79%.
Dr. Adedinsewo is supported by the Mayo Building Interdisciplinary Research Careers in Women’s Health (BIRCWH) Program, which is funded by the National Institutes of Health. The trial was funded by Mayo Clinic (Centers for Digital Health and Community Health and Engagement Research) and in part by the Mayo Clinic BIRCWH Program. Portable ECG, phonocardiogram recordings, and AI predictions using the digital stethoscope were extracted by the Eko Health team and were sent to the coordinating center for analysis. Eko Health had no role in study design, data collection, data analysis, or data interpretation.
A version of this article appeared on Medscape.com.