Heart Failure Clinical Trial
Official title:
Heart Failure Re-admission Risk Estimation Using NICaS System With Comparison to Serum BNP Levels
| Verified date | July 2016 |
| Source | Tel-Aviv Sourasky Medical Center |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | Israel: Ministry of Health |
| Study type | Interventional |
HF represents a major burden in the developed world. Mortality and rehospitalization rates post-discharge in patients admitted with HF may be as high as 15%-30% within 60-90 days, respectively. Given that rehospitalization drives much of the cost associated with HF, there has been increased interest in predicting risk of rehospitalization as a means to control health care costs. These risk stratification models can serve as important clinical tools by helping to identify those patients who are at very high risk may be observed more closely or treated more intensively. The most important predictors for the combined endpoint of death or rehospitalization were admission serum creatinine concentration, systolic blood pressure,admission hemoglobin level, discharge use of ACE-Ior ARBS, and Pulmonary disease. Other independent predictors during hospitalization of readmission and mortality included low admission Kansas City Cardiomyopathy Questionnaire score, high BNP, hyponatremia, tachycardia, hypotension, absence of b-blocker therapy, and history of diabetes and arrhythmias. Nevertheless, both models fail to provide the treating physician a simple decision making tool for predicting which patient is stable enough to be discharged from the hospital without a high risk of readmission. The Non Invasive Cardiac System (NICaS, Israel), calculates the cardiac output by measuring impedance cardiography in a tetra-polar mode, derived from electrodes placed on both wrists or one wrist and the contra-lateral ankle. This simple to operate, non-invasive technique was validated in a few studies to be reliable in estimation of CO compared to traditional, invasive techniques in different settings including HF patients. A previous study demonstrated that parameters derived from this system showed a highly significant correlation to echo estimated EF and serum BNP in chronic HF patients and were equally able to predict complications in this population. Aim:To assess whether the NICaS system can identify high risk HF patient for readmission prior to their discharge compared to serum BNP measurement.
| Status | Completed |
| Enrollment | 20 |
| Est. completion date | July 2016 |
| Est. primary completion date | July 2016 |
| Accepts healthy volunteers | No |
| Gender | Both |
| Age group | 18 Years to 85 Years |
| Eligibility |
Inclusion Criteria: 1. Written informed consent. 2. HF admitted patient from cardiology and internal medicine departments in our institution. Exclusion Criteria: 1. Severe aortic valve regurgitation and/or aortic stenosis. 2. Aortic aneurysm. 3. Heart rate above 130 beats/min. 4. Intra- and extra-cardiac shunts. 5. Severe peripheral vascular disease. 6. Severe pitting edema. 7. Sepsis. 8. Use of hemodialysis. 9. Patients under 18 years of age. |
Endpoint Classification: Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic
| Country | Name | City | State |
|---|---|---|---|
| Israel | Tel Aviv SoUrasky MC | Tel Aviv |
| Lead Sponsor | Collaborator |
|---|---|
| Tel-Aviv Sourasky Medical Center |
Israel,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | HF readmition | To assess whether the NICaS system can identify high risk HF patient for readmission prior to their discharge compared to serum BNP measurement | 3 months | No |
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