WASHINGTON, D.C. — Oct. 27, 2024 — HeartFlow, Inc., the global leader in non-invasive artificial intelligence (AI) heart care solutions, today announced seven-year data confirming the use of HeartFlow’s AI-enabled fractional flow reserve computed tomography (FFR_CT) and Plaque Analysis in the assessment of long-term risk of coronary artery disease (CAD) in clinically stable, symptomatic patients. The data show the HeartFlow platform provides clinicians with the insights needed to anticipate and mitigate adverse events, including myocardial infarctions, in symptomatic patients with stable chest pain. The data were presented at the 36th annual Transcatheter Cardiovascular Therapeutics® (TCT) conference in Washington, D.C.

ADVANCE-DK is data from a subset of the larger ADVANCE Registry, which prospectively evaluated the use of a coronary computed tomography angiography (CCTA) and FFRCT diagnostic pathway in real-world settings to determine the impact on decision-making, downstream invasive coronary angiography (ICA), revascularization, and major adverse cardiovascular events (MACE). ADVANCE-DK assessed three patient sets: those with normal FFRCT, those with subsequent complete revascularization (CR), and those with subsequent incomplete revascularization (IR).

Seven-year follow-up data from ADVANCE-DK demonstrates the completeness of revascularization predicts clinical outcomes and can be assessed non-invasively using coronary CCTA and FFR_CT.

• Patients with IR, as assessed by FFR_CT, had a higher long-term risk of adverse events than patients whose FFR_CT assessment showed CR or patients who had normal FFR_CT (16.2% IR versus 7.8% CR and 5.7% normal FFR_CT, respectively)
• The combination of plaque quantification and characterization and lesion-specific physiology from FFR_CT is a superior predictor of adverse cardiovascular events, through seven-year follow-up (AUC 0.73 vs 0.63 inclusive of baseline risk variables + CCTA)

“We theorized that by leveraging non-invasive FFR_CT we could identify critical issues that had previously gone unnoticed, such as significant coronary lesions that would likely have been mistakenly categorized as visually insignificant,” said Kristian Tækker Madsen, M.D., cardiologist at University Hospital of Southern Denmark. “The prospective data with long-term follow-up in ADVANCE-DK alongside Plaque Analysis data gave us far more than that. FFR_CT remains valuable for patients across all categories, and the combination of FFR_CT and quantitative plaque data, especially after four years of follow up, can offer providers invaluable insight into a patient’s long-term risks informing more personalized and effective treatment plans.” 

In a separate study, “Usefulness of FFR_CT to Exclude Hemodynamically Significant Lesions in High-Risk NSTE-ACS,” lesion-specific FFR_CT was further validated in patients with non-ST-segment elevation acute coronary syndrome (NSTE-ACS). The authors found that the use of CCTA with or without FFR_CT “would have avoided 54% to 64% of unnecessary invasive assessments” in the high-risk population studied. At the lesion level, FFR_CT far outperformed CCTA alone in identifying significant lesions likely to benefit from revascularization (AUC 0.84 versus 0.65, p<0.01), suggesting an enhanced capability to avoid unnecessary invasive coronary angiography (ICA). The data were published concurrently in the EuroIntervention journal in a peer-reviewed article titled “Usefulness of FFR-CT in Patients with High-risk NSTE-ACS.”¹ 

“The ADVANCE-DK data show that our technologies go beyond identifying the immediate risks of CAD to include long-term residual risks across the spectrum of the disease. Data from patients with high-risk NSTE-ACS further suggest lesion-specific FFR_CT provides an enhanced capability to avoid unnecessary invasive tests. With HeartFlow, clinicians receive actionable insights and data that are currently missing from traditional non-invasive and invasive diagnostic tools,” said Campbell Rogers, M.D., F.A.C.C., Chief Medical Officer of HeartFlow. “We’re grateful to all the participants and investigators who supported the collection of these valuable data as we build upon our clinical evidence demonstrating the value of HeartFlow ONE including FFR_CT Analysis and AI-enabled Plaque Analysis in managing CAD.” 

Cardiovascular diseases are the most common cause of death globally for both men and women, yet four out of five heart attacks and strokes are preventable with lifestyle and nutrition changes if patients at high risk are identified early.1 Understanding plaque burden – where plaque is in the coronary arteries, the amount of plaque, and the type of plaque – is one of the best ways for physicians to identify patients at high risk of death from a heart attack.²

HeartFlow is dedicated to defeating heart disease through partnering with physicians to generate robust, high-quality clinical evidence. HeartFlow has been adopted by more than 1,300 institutions globally and continues to strengthen its commercial presence to make this cutting-edge solution more widely available to an increasingly diverse patient population worldwide.

About HeartFlow, Inc.

HeartFlow is transforming precision coronary care with the only AI-powered, non-invasive integrated heart care solution across the CCTA pathway. As the pioneer of FFR_CT, which is now supported by the ACC/AHA Chest Pain Guideline, HeartFlow continues to advance the diagnosis and management of CAD. HeartFlow’s suite of non-invasive technologies includes its FFR_CT Analysis, RoadMap™ Analysis, and Plaque Analysis. More than 500 peer-reviewed publications have validated our approach and more importantly, our technologies have helped clinicians diagnose and manage over 250,000 patients. For more information, visit www.heartflow.com.

Media Contact
Elliot Levy
media@heartflow.com

Investor Contact
Nick Laudico
VP of Business Development and Investor Relations
nlaudico@heartflow.com

References

1. Meier, D. et al, Usefulness of FFR-CT in Patients with High-risk NSTE-ACS. EuroIntervention. 2024; In press.

2. World Heart Federation. Prevention. Accessed Oct. 25, 2024.

3. Thomsen, C., Characteristics of high-risk coronary plaques identified by computed tomographic angiography and associated prognosis: a systematic review and meta-analysis. EHJ. 2016; 17, 120-129.