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Optimization With SonR Method in the ClinicAl pRactice

Optimization With SonR Method in the ClinicAl pRactice

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02250547
Acronym
OSCAR
Enrollment
278
Registered
2014-09-26
Start date
2012-07-31
Completion date
2017-09-30
Last updated
2017-11-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

CRT Patients

Brief summary

Evaluate the percentage of patients optimized at least once every month by the SonR automatic optimization method, until M6 follow-up, in Heart failure (HF) patients prevalently in sinus rhythm

Detailed description

Thanks to the SonR technology it is possible to adjust the optimal VV and AV delays over time, in a fully automatic, time saving and operator independent way. It is possible to optimize the VV and AV delays in office, during follow-up visits, but also enable the automatic optimization that weekly optimize the AV and VV delays. For the reasons mentioned above, the sponsor expects that the SonR optimization method increases the number of patients optimized systematically at each follow-up The purpose of this study is to evaluate the percentage of patients optimized at least once every month by the SonR automatic optimization method, until M6 follow-up, in HF patients prevalently in sinus rhythm. The primary objective will be evaluated as the percentage of patients successfully optimized every month until M6. A patient is considered successfully optimized by the SonR during one month if at least one Atri-Ventricular (AV) or Ventricular-Ventricular (VV) optimization is completed by the SonR automatic optimization method during the month. Patients eligible for the analysis are those with SonR automatic optimization function enabled and at least 50% of the time in sinus rhythm

Interventions

None listed

Sponsors

LivaNova
Lead SponsorINDUSTRY

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patient eligible for implantation or implanted for less than 6 weeks (primo-implant, replacement, upgrade) with a a Paradym RF SonR CRT-D and SonRtip Atrial Lead, according to current available guidelines (RF=radio frequency) * Patient has signed and dated informed consent (according to the laws and regulations of the country in which the observation is performed)

Exclusion criteria

* Persistent atrial arrhythmias * Already included in another interventional clinical study * Not available for routine follow-up visits * Inability to understand the purpose of the study * Under guardianship * Under18 years old * Drug addiction or abuse * Pregnancy

Design outcomes

Primary

MeasureTime frameDescription
evaluate the percentage of patients optimized at least once every month by the SonR automatic optimization method, until M6 follow-up, in HF patients prevalently in sinus rhythm6 monthsThe primary objective will be evaluated as the percentage of patients successfully optimized every month until M6. A patient is considered successfully optimized by the SonR during one month if at least one AV or VV optimization is completed by the SonR automatic optimization method during the month. Patients eligible for the analysis are those with SonR automatic optimization function enabled and at least 50% of the time in sinus rhythm

Secondary

MeasureTime frameDescription
Percentage of patients with SonR automatic optimization function enabled at each follow-up6MThe number of patients with automatic SonR optimization enabled over the total number of patients at: Implantation, Baseline, M6
Analyze the evolution of optimal AV and VV delays SonR optimized over time6MCompare the mean and the intra-patient AV and VV delays between consecutive follow-ups
Report system-related complications6MReport system-related complications

Countries

Austria, France, Germany, Italy, Portugal, Spain

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026