New Study Validates CADScor System's Superior Accuracy in Diagnosing Heart Failure

Recent research published in PLOS Digital Health has demonstrated that Acarix AB's CADScor System can effectively diagnose heart failure (HF) with a much lower incidence of false positives compared to standard blood tests. This breakthrough in the use of seismocardiography (SCG) technology marks a significant advancement in patient care and clinical diagnosis for heart-related conditions.

Understanding Heart Failure and Its Diagnosis

Heart failure is a prevalent condition that compromises the heart's ability to pump blood effectively. Affecting millions globally, it is often a leading cause of hospitalization. Traditional diagnostic methods for heart failure include echocardiograms and the NT-proBNP blood test, but these options have their limitations. Echocardiograms require extensive imaging time and can yield operator-dependent results, while blood tests may produce false positives due to various factors unrelated to heart conditions.

The new study, led by researchers from Aalborg University, involved 218 patients who were referred for suspected heart failure. It introduced the CADScor System's innovative SCG-based algorithms, particularly focusing on its capability to detect heart failure and its severity levels.

Key Findings of the Study

The research revealed compelling results regarding the CADScor System's efficacy in identifying different types of heart failure:

1. High Sensitivity: The system achieved an impressive 90.9% sensitivity in detecting heart failure, indicating that it could reliably identify most patients who actually had the condition.
2. Comparative Diagnostic Accuracy: The HFrEF-score, which targets heart failure with reduced ejection fraction, exhibited diagnostic accuracy similar to that of the NT-proBNP blood test (92.9% compared to 94.7% AUC). However, it surpassed it in specificity, achieving a score of 92% against the blood test’s 68.8%. This distinction led to a more than doubling of the positive predictive value (57.7% vs. 27.1%), marking a substantial decrease in false positives.
3. Reducing Unnecessary Referrals: Of the 139 patients referred for possible heart failure, 71 (51%) were determined to be