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Heart Failure Re-admission Risk Estimation Using NICaS System With Comparison to Serum BNP Levels

NCT01765335 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 20

Last updated 2016-07-07

No results posted yet for this study

Summary

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.

Conditions

Interventions

DEVICE

NICaS system

NICaS parameters (cardiac output and total peripheral resistance) and serum BNP levels will be processed in an excel sheet including study reference number to keep confidentiality

Sponsors & Collaborators

  • Tel-Aviv Sourasky Medical Center

    lead OTHER_GOV

Principal Investigators

  • Ofer Havakuk, MD · Tel Aviv Medical Center

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-01-31
Primary Completion
2016-07-31
Completion
2016-07-31

Countries

  • Israel

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01765335 on ClinicalTrials.gov