How Eko algorithm could save heart failure patients

By Published On: February 1, 2022Last Updated: February 1, 2022
How Eko algorithm could save heart failure patients

A new study has shown the efficacy of the AI-driven Eko Smart Stethoscope in screening for heart failure in seconds.

Imperial College London and the NHS partnered on the study to test the device, developed by the US health tech company of the same name.

Eko’s low ejection fraction algorithm (ELEFT) detects a weakened heart pump, which is present in about half of heart failure patients.

It was developed in collaboration with the Mayo Clinic and will be submitted to the FDA under “Breakthrough Designation” for formal review later this year.

Dr. Nicholas Peters, professor of cardiology, Imperial College London, said: “This tool allows healthcare professionals to reliably rule in or rule out heart failure at the point of care.

“The result will be earlier diagnosis and treatment and the avoidance of unnecessary and expensive tests for those in whom heart failure is ruled out. This means better and more cost-effective healthcare. It’s a total game-changer.”

Diagnosis of heart failure is a significant challenge given that heart failure symptoms are also associated with many other conditions and detection often requires a series of expensive tests.

Using the Eko DUO ECG + Digital Stethoscope with ELEFT, heart failure caused by a weakened heart pump can be detected in seconds during a stethoscope exam.

Dr. Patrick Bachtiger, lead author and a clinical research fellow at the UK’s National Heart and Lung Institute, said: “The superhuman capability to screen patients at any point of care, including before surgery, should challenge the unacceptable reality that 80 per cent of patients with heart failure are currently diagnosed through an emergency hospital admission.

“The current clinical pathway simply misses too many patients, leaving them undiagnosed until very sick. This tool can save time and money and unlock major benefits for patients through early diagnosis and effective treatments.”

In the study, the algorithm’s performance at detecting a weak heart pump was excellent compared to the current gold standard of echocardiography. When 15-second recordings were taken with the DUO at one chest location, the algorithm was 81 per cent accurate at identifying normal and impaired heart pumping function. Accuracy went up to 86 per cent when two recording locations were used.

“This is a landmark study for multiple reasons,” said Dr. Adam Saltman, CMO at Eko. “The investigators showed that the low ejection fraction detection algorithm can quickly, easily, and effectively identify the patients who have impaired heart pumping function, even if those patients don’t yet have symptoms.”

Eko, a digital health company, is advancing how healthcare professionals detect and monitor heart and lung disease with its innovative suite of digital tools, patient and provider software, and AI-powered analysis.

Its FDA-cleared platform is used by hundreds of thousands of healthcare professionals worldwide, allowing them to detect earlier and with higher accuracy, diagnose with more confidence, manage treatment effectively, and ultimately give their patients the best care possible.

Eko is headquartered in Oakland, California, with over US$125 million in funding from Highland Capital Partners, Questa Capital, Artis Ventures, DigiTx Partners, NTTVC, Morningside Technology Ventures Limited, Mayo Clinic, Sutter Health, and others.

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