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Pulmonary Artery Sensor System Pressure Monitoring to Improve Heart Failure (HF) Outcomes

Pulmonary Artery Sensor System Pressure Monitoring to Improve Heart Failure (HF) Outcomes

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04398654
Enrollment
554
Registered
2020-05-21
Start date
2020-10-02
Completion date
2026-12-09
Last updated
2026-04-07

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

Conditions

Heart Failure

Brief summary

Randomized, parallel group controlled study examines the effect of supporting the Heart failure supply through pulmonary arterial (PA) pressure measurement with the CardioMEMS™ HF system to hard endpoints, safety and quality of life. The target population consists of heart failure (HF) patients who have been predominantly in New York Heart Association (NYHA) Stage III for the past 30 days and at least once in the past 12 months for HF were admitted to hospital. All patients receive basic care, which is based on structured telephone contact (between the care center, patient and family doctor) to optimize guideline compliant therapy. In the intervention group a PA pressure sensor is (CardioMEMS™-HF Sensor) implanted. These patients are structured by specially trained non-medical personnel aftercare with additional inclusion of the PA pressure values: adjusted to the basis of the information collected in PA monitoring the therapy is optimized. The follow-up period until the primary endpoint is 12 months. In addition, data on longtime-mortality is being collected towards the end of the study for all study participants.

Interventions

DEVICECardioMEMSTM HF sensor - pulmonary artery pressure measurement

CardioMEMSTM HF sensor implantation to meassure pulmonary artery pressure. Evaluation of the pressure curves by telemetric transmission and coordination of necessary adjustments of the therapy.

Sponsors

IHF GmbH - Institut für Herzinfarktforschung
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

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

Inclusion criteria

1. Written consent received from the patient or a legal representative after the in-formation has been provided. 2. ≥ 18 years of age. 3. Predominant symptoms in NYHA Stage III in the 30-day period prior to consent to the study. 4. Objectified HF diagnosis for more than three months. 5. Hospitalisation within 12 months prior to inclusion due to deterioration of HF symptoms. 6. Able to tolerate dual antiplatelet therapy or anticoagulation therapy for one month after sensor implantation 7. Patients with reduced left ventricular ejection fraction (LVEF) ≤40% (diagnosed within 6 months prior to inclusion) must be treated with guideline-compliant HF pharmacotherapy; if one class of guideline-compliant medication is not tolerated, appropriate documentation must be supplied; patients must receive and tolerate at least one class of guideline-compliant medication; if no guideline-compliant medication is tolerated at all, the patient may not participate in the study. 8. In patients with preserved LVEF (\>40%; diagnosed within 6 months prior to inclu-sion) comorbidities must be treated in accordance with guideline-compliant medi-cation. 9. Chest circumference (measured at axillary level) of less than 165 cm if BMI \>35 kg/m2. 10. Willing and mentally and physically able to meet the requirements for follow-up and long-term basic care (this includes the long-term willingness of the patient, and of their relatives where relevant, to participate in PA pressure-based monitor-ing). 11. Appropriate domestic situation, defined as being accessible by telephone (via fixed or mobile network) .

Exclusion criteria

1. Enrolment in another study with an active treatment arm. 2. Severe cardiovascular event (e.g. myocardial infarction, open heart surgery, stroke, CRT implantation) in the 2 months prior to admission 3. Therapy-refractory heart failure in ACC/AHA stage D or new therapies that have taken place or are planned in the next 12 months (e.g. implantation of a left ven-tricular assist system / transplantation) 4. Active infection. 5. History of recurrent (\>1 episode) pulmonary embolism and/or deep vein throm-bosis. 6. Continuous or intermittent chronic inotropic therapy. 7. Estimated glomerular filtration rate (eGFR) \<25 ml/min 8. Life expectancy (according to the study physician's assessment) \<12 months. 9. Severe, unrepaired congenital heart defect that would prevent implantation of the sensor. 10. Severe valve vitium with planned intervention in the next 3 months 11. Presence of a mechanical right heart valve. 12. Mental disorder that presumably (in the opinion of the study physician) has a negative impact on patient compliance or consent. 13. Failure of the coordinating physician to approve if the patient is enrolled in an HF disease management program or comparable case management program. 14. Women of childbearing age with a positive pregnancy test at the time of inclusion 15. For the intervention group: Preliminary investigations have shown that the diameter of the pulmonary artery branch intended for implantation is \<7 mm 16. The patient has private health insurance

Design outcomes

Primary

MeasureTime frameDescription
Primary efficacy endpoint: composite of unplanned HF-related rehospitalisations and all-cause death12 monthsComposite endpoint of number of unplanned HF-related rehospitalisations or all-cause death
Primary safety endpoint: device-related complications12 monthsRate of Device / System related complications
Co-primary safety endpoint: sensor failure12 monthsRate of sensor failures

Secondary

MeasureTime frameDescription
Major secondary endpoint: changes in disease-related quality of life6 and 12 monthsChange in quality of life score after 6 and 12 month measured by Kansas City Cardiomyopathy questionnaire. Scores are transformed to a range of 0-100, in which higher scores reflect better health status.
Changes in generic health-related quality of life6 and 12 monthsChange in Quality of Life score after 6 and 12 month measures by EQ-5D questionnaire. The EQ-5D-5L descriptive system comprises the five dimensions (MOBILITY, SELF-CARE, USUAL ACTIVITIES, PAIN / DISCOMFORT and ANXIETY / DEPRESSION), each dimension has five response levels: no problems, slight problems, moderate problems, severe problems, unable to /extreme problems. Responses are coded as single-digit numbers expressing the severity level selected in each dimension (1 - 5, where higher scores indicate more severe problems). The EQ VAS records the respondent's overall current health on a vertical visual analogue scale (0-100), where the endpoints are labelled 'The best health you can imagine - 100' and 'The worst health you can imagine - 0'. The EQ VAS provides a quantitative measure of the patient's perception of their overall health.
HF-related mortality12 monthsRate of HF-related mortality
Cardiovascular Mortality12 monthsRate of cardiovascular mortality
All-cause Mortality12 monthsRate of all-cause mortality
Unplanned HF-related hospitalizations12 monthsRate of HF-related hospitalisations
Unplanned cardiovascular-related hospitalizations12 monthsRate of cardiovascular-related hospitalisations
Unplanned all-cause hospitalizations12 monthsRate of all-cause hospitalisations
Unplanned hospitalizations, other12 monthsNumber of days alive and out of hospital
Non-serious Adverse Events12 monthsRate of non-serious adverse events
Serious Adverse Events12 monthsRate of serious adverse events
Symptoms of heart failure12 monthsPatient-reported symptoms of heart failure, measured by of the KCCQ Symptoms Score
Longterm-mortalityFrom date of randomization of the first patient until date of study termination of the last patient (observation time: between 12 and up to 62 months)All-cause death over the entire duration of the study

Countries

Germany

Contacts

PRINCIPAL_INVESTIGATORStefan Störk, MD

Wuerzburg University Hospital

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 8, 2026