Key result
HeartLogic detects HF decompensations with high sensitivity but lacks randomized data for hospitalization and mortality.
Why the study?
Although the HeartLogic telemonitoring algorithm demonstrates high sensitivity for detecting heart failure decompensations, its effects on hospitalisation and mortality have not yet been corroborated in randomised clinical trials.
Does the HeartLogic algorithm improve the detection of heart failure decompensations and reduce hospitalisation and mortality in patients with heart failure?
Does the HeartLogic algorithm improve the detection of heart failure decompensations and reduce hospitalisation and mortality in patients with heart failure?
The HeartLogic algorithm offers a highly sensitive multiparametric telemonitoring approach for detecting heart failure decompensations, though RCT evidence for hard clinical outcomes is still needed.
Telemonitoring through multiple variables measured on cardiac devices has the potential to improve the follow-up of patients with heart failure. The HeartLogic algorithm (Boston Scientific), implemented in some implantable cardiac defibrillators and cardiac resynchronisation therapy, allows monitoring of the nocturnal heart rate, respiratory movements, thoracic impedance, physical activity and the intensity of heart tones, with the aim of predicting major clinical events. Although HeartLogic has demonstrated high sensitivity for the detection of heart failure decompensations, its effects on hospitalisation and mortality in randomised clinical trials has not yet been corroborated. This review details how the HeartLogic algorithm works, compiles available evidence from clinical studies, and discusses its application in daily clinical practice.
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López‐Azor et al. (2022) conducted a review in Heart failure. HeartLogic algorithm was evaluated. The HeartLogic algorithm demonstrates high sensitivity for detecting heart failure decompensations, though its effects on hospitalization and mortality lack corroboration from randomized trials.
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