ArticleESC heart failure2021
Multiparameter diagnostic sensor measurements during clinically stable periods and worsening heart failure in ambulatory patients.
Article in ESC heart failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review.ESC heart failure · 2025Pooled it
- Streamlining heart failure patient care with machine learning of thoracic cavity sound data.World journal of cardiology · 2025Review
- Subcutaneous sensors for monitoring congestion and to reduce heart failure hospitalizations-a viable middle ground between deep implantable intravascular monitoring devices and wearable technologies?Heart failure reviews · 2025Review
- Redesign of Implantable Cardiac Device Workflow Improves Remote Monitoring Timeliness and Heart Failure Alert Metrics.Journal of cardiovascular translational research · 2025Article
- Remote Management of Heart Failure in Patients with Implantable Devices.Diagnostics (Basel, Switzerland) · 2024Review
- Association between amount of biventricular pacing and heart failure status measured by a multisensor implantable defibrillator algorithm.Cardiovascular digital health journal · 2024Article
- Clinical Predictive Modeling of Heart Failure: Domain Description, Models' Characteristics and Literature Review.Diagnostics (Basel, Switzerland) · 2024Review
- Predicting worsening heart failure hospitalizations in patients with implantable cardioverter defibrillators: is it all about alerts? A pooled analysis of nine trials.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024Article
- Myocardial Recovery in the Systemic Context: A Philosophic Shift for the Heart Failure Subspecialty to Optimize Patient Care.Methodist DeBakey cardiovascular journal · 2024Review
- PRecision Event Monitoring for PatienTs with Heart Failure using HeartLogic (PREEMPT-HF) study design and enrolment.ESC heart failure · 2023Observational
- Performance of a multisensor implantable defibrillator algorithm for heart failure monitoring related to co-morbidities.ESC heart failure · 2023Article
- HeartLogic™: real-world data-efficiency, resource consumption, and workflow optimization.European heart journal supplements : journal of the European Society of Cardiology · 2023Article
- Decongestive treatment adjustments in heart failure patients remotely monitored with a multiparametric implantable defibrillators algorithm.Clinical cardiology · 2022Article
- Clinical Utility of HeartLogic, a Multiparametric Telemonitoring System, in Heart Failure.Cardiac failure review · 2022Review
- Performance of a HeartLogicFrontiers in cardiovascular medicine · 2022Article
- Multiparameter diagnostic sensor measurements during clinically stable periods and worsening heart failure in ambulatory patients.ESC heart failure · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 9 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThis study aims to characterize the range of implantable device-based sensor values including heart sounds, markers of ventilation, thoracic impedance, activity, and heart rate for patients with heart failure (HF) when patients were deemed to be in clinically stable periods against the time course of acute decompensation and recovery from HF events. METHODS AND
resultsThe MultiSENSE trial followed 900 patients implanted with a COGNIS CRT-D for up to 1 year. Chronic, ambulatory diagnostic sensor data were collected and evaluated during clinically stable periods (CSP: unchanged NYHA classification, no adverse events, and weight change ≤2.27 kg), and in the timeframe leading up to and following HF events (HF admissions or unscheduled visits with intravenous HF treatment). Physiologic sensor data from 1667 CSPs occurring in 676 patients were compared with those data leading up to and following 192 HF events in 106 patients. Overall, the mean age was 66.6 years, and the population were predominantly male (73%). Patients were primarily in NYHA II (67%), with a mean LVEF of 29.6% and median NT-proBNP of 754.5 pg/mL. Sensor values during CSP were poorer in patients who had HF events during the study period than those without HF events, including first heart sound (S1: 2.18 ± 0.84 mG vs. 2.62 ± 0.95 mG, P = 0.002), third heart sound (S3: 1.13 ± 0.36 mG vs. 0.91 ± 0.30 mG, P < 0.001), thoracic impedance (45.66 ± 8.78 Ohm vs. 50.33 ± 8.43 Ohm, P < 0.001), respiratory rate (19.09 ± 3.10 br/min vs. 17.66 ± 2.39 br/min, P = 0.002), night time heart rate (73.39 ± 8.36 b.p.m. vs. 69.56 ± 8.09 b.p.m., P = 0.001), patient activity (1.69 ± 1.84 h vs. 2.56 ± 2.20 h, P = 0.006), and HeartLogic index (11.07 ± 12.14 vs. 5.31 ± 5.13, P = 0.001). Sensor parameters measured worsening status leading up to HF events with recovery of values following treatment.
conclusionsDevice-based physiologic sensors not only revealed progressive worsening leading up to HF events but also differentiated patients at increased risk of HF events when presumed to be clinically stable.
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