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Record W2982093363 · doi:10.1093/eurheartj/ehz745.0386

P3522Vagus nerve stimulation for chronic heart failure: differences in therapy delivery and clinical efficacy in ANTHEM-HF, INOVATE-HF, and NECTAR-HF

2019· article· en· W2982093363 on OpenAlexaff
Inder S. Anand, Marvin A. Konstam, James E. Udelson, Javed Butler, Helmut Klein, John D. Parker, John R. Teerlink, Imad Libbus, Badri Amurthur, Bruce H. KenKnight, Jeffrey L. Ardell, Douglas Gregory, Joseph M. Massaro, Lorenzo A. DiCarlo

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsVagus nerve stimulationMedicineHeart failureInternal medicineEjection fractionCardiologyStimulationHeart rateVagus nerveBlood pressure

Abstract

fetched live from OpenAlex

Abstract Background Vagus Nerve Stimulation (VNS) is meant to deliver Autonomic Regulation Therapy (ART) to neurological targets with sufficient neuromodulation (NM) to ameliorate chronic heart failure (CHF). VNS delivery consists of its intensity (a combination of pulse amplitude, pulse frequency, and pulse duration), polarity, duty cycle (DC; stimulation “on” time and “off” time), and mode (continuous, or intermittent and periodic). In the ANTHEM-HF Pilot Study patients with CHF and reduced ejection fraction (HFrEF), VNS intensity was up-titrated until a change in heart rate (HR) dynamics was objectively confirmed. This did not require any change in GDMT and was associated with significant improvements in LVEF, 6-minute walk distance (6MWD), Minnesota Living with HF (MLWHF) score, and HR variability. Methods Qualitative and quantitative analyses used data from peer-reviewed publications and other sources in the public domain to compare VNS delivery in ANTHEM-HF, INOVATE-HF, and NECTAR-HF. Results (Table): Up-titration of VNS intensity was attempted in all 3 studies. In contrast to ANTHEM-HF, INOVATE-HF aimed only at peripheral neural targets. VNS intensity was delivered at a lower pulse frequency, and had a variable DC as a consequence of R-wave synchronization and only intermittent, periodic stimulation. In NECTAR-HF VNS intensity was delivered at a higher pulse frequency, and this was associated with intolerable adverse off-target effects which restricted VNS up-titration. Significant improvements in EF, 6MWD, MLWHF, and SDNN occurred in ANTHEM-HF relative to the other studies. ANTHEM-HF (n=60) INOVATE-HF (n=436) NECTAR-HF (n=63) Neural Target Central/Peripheral Peripheral Central/Peripheral Delivery Site Left or right CVN Right CVN Right CVN Delivery Intensity: Amplitude (milliamperes) 2.0±0.6 3.9±1.0 1.4±0.8 Frequency (Hertz) 10 1–2 20 Duration (microseconds) 250 500 300 Electrode Polarity (Cathode) Caudal Cephalad Caudal Duty Cycle 23% 25% 17% On Time/Off Time (seconds) 18/62 Variable 10/50 Mode of Delivery Cyclic/Continuous Intermittent/Periodic Cyclic/Continuous Clinical Efficacy at 6 Months: EF 32.4±7.2 to 37.2±10.4 Not available 30.5±6.0 to 32.7±6.4 6MWD 287±66 to 346±78 317±109 to 347±123 Not available MLWHFS 40±14 to 21±10 Not available 44.2±22.2 to 35.8±20.8 SDNN 94±26 to 111±50 Not available 146±48 to 130±52 Values reported as mean ± standard deviation; CVN = Cervical vagus nerve. *p<0.05 versus NECTAR-HF; **p<0.05 versus INOVATE-HF; ***p<0.025 versus NECTAR-HF; ****p<0.001 versus NECTAR-HF (Analysis using two-sample t-test of the means). Conclusion VNS differed in ANTHEM-HF when compared to INOVATE-HF and NECTAR-HF. The neural targets, pulse frequencies for titration, and the DC for NM were different. VNS in ANTHEM-HF was clinically efficacious. The ongoing ANTHEM-HFrEF Pivotal Study uses a similar paradigm. Acknowledgement/Funding LivaNova PLC

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.140
GPT teacher head0.390
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2019
Admission routes1
Has abstractyes

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