Bioimpedance Spectroscopy for the Evaluation of Heart Failure
BIS-HF
1 other identifier
observational
150
1 country
1
Brief Summary
Despite impressive improvements in treatment strategies, heart failure (HF) morbidity and mortality remains substantially high worldwide. Pulmonary congestion is considered the leading cause for hospital admissions and death among patients with HF. Physical examination is crucial for titrating medical treatment in these patients, but despite a good specificity it is not sensitive enough to detect early elevated cardiac filling pressures. The N-terminal pro-B-type natriuretic peptide (NT-proBNP) is a recognized powerful predictor for HF prognosis. Recently, cardiotrophin-1 and galectin-3 have been proposed as new relevant biomarkers for HF evaluation. Echocardiography can be also used to noninvasively measure left ventricular filling pressures. Lung ultrasound (LUS) through interstitial B-line evaluation has been recently proposed as a bed-side, noninvasive tool to assess interstitial lung water. B-lines correlate with NT-proBNP and E/e' levels in patients with acute dyspnea, chronic HF or after a stress test. LUS can also identify clinically silent pulmonary edema, suggesting that it may complement clinical evaluation to improve hemodynamic profiling and treatment optimization. Biompedance is a bedside method for total body fluid status assessment. It defines individual fluid status/compartments/overload on the basis of an individual's normal extracellular volume and body composition. Recent studies indicate that bioimpedance-derived fluid overload indices are independent predictors of mortality in renal failure patients. To date, no study has evaluated bioimpedance performance for fluid assessment in HF patients. The investigators aim to cross-sectionally compare bioimpedance parameters with clinical evaluation, LUS, cardiac biomarkers, and echocardiographic characteristics, in a cohort of incident consecutive patients with HF. Two years patients' survival will be evaluated to propose the best evaluative algorithm and rank the various methods for prognostic significance.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started May 2016
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 12, 2016
CompletedStudy Start
First participant enrolled
May 1, 2016
CompletedFirst Posted
Study publicly available on registry
May 6, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2020
CompletedJanuary 26, 2021
January 1, 2021
4 years
April 12, 2016
January 23, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
The relationship between bioimpedance derived parameters (TBW, ICW, ECW, RFO), clinical assessment, lung congestion (as assessed by lung ultrasonography), echocardiography and different cardiac biomarkers.
2 years
Secondary Outcomes (3)
The impact of baseline bioimpedance characteristics (TBW, ICW, ECW, RFO) on all-cause mortality.
2 years
The impact of baseline bioimpedance characteristics (TBW, ICW, ECW, RFO) on fatal and non-fatal cardiovascular events.
2 years
The impact of baseline bioimpedance characteristics (TBW, ICW, ECW, RFO) on hospitalizations.
2 years
Interventions
The technique involves attaching electrodes to the patient's forearm and ipsilateral ankle, with the patient in a supine position. The BCM® measures the body resistance and reactance to electrical currents of 50 discrete frequencies, ranging between 5 and 1000 kHz. Based on a fluid model using these resistances, the extracellular water (ECW), the intracellular water (ICW) and the total body water (TBW) are calculated. All calculations are automatically performed by the software of the BCM® device. Absolute fluid overload (AFO) is is defined as the difference between the expected patient's ECW under normal physiological conditions and the actual ECW, whereas the relative fluid overload (RFO) is defined as the absolute fluid overload AFO to ECW ratio.
Examinations will be performed in the supine position. Scanning of the anterior and lateral chest will be performed on both sides of the chest, from the second to the fourth (on the right side to the fifth) intercostal spaces, at parasternal to mid-axillary lines. B-lines will be recorded in each intercostal space and were defined as a hyperechoic, coherent US bundle at narrow basis going from the transducer to the limit of the screen. B-lines starting from the pleural line can be either localized or scattered to the whole lung and be present as isolated or multiple artifacts (with a distance 7 mm between 2 artifacts). The sum of B-lines produces a score reflecting the extent of lung water accumulation (0 being no detectable B-line).
All echocardiographic measurements will be carried out according to the recommendations of the American Society of Echocardiography by an observer unaware of the lung ultrasound and bioimpedance results. Echocardiographic evaluation will provide information about cardiac anatomy (e.g. volumes, geometry, mass) and function (e.g. left ventricular function and wall motion, valvular function, right ventricular function, pulmonary artery pressure, pericardium).
Eligibility Criteria
Patients with Heart Failure
You may qualify if:
- age ≥18 years;
- HF diagnosis regardless of cause as defined by the Framingham criteria and satisfying the European Society of Cardiology guidelines;
You may not qualify if:
- metallic joint prostheses, cardiac stent or pacemakers, decompensated cirrhosis, pregnancy and limb amputations (due to bioimpedance technique limitations);
- no prior diagnosis of pulmonary fibrosis (due to lung ultrasonography limitations);
- absence of congenital heart disease
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Dr. CI Parhon
Iași, Romania
Related Publications (1)
Siriopol D, Popa R, Mihaila M, Rusu F, Sascau R, Statescu C, Catalina Z, Vasiliu V, Bucur A, Neamtu A, Siriopol I, Cianga P, Kanbay M, Covic A. Application of survival classification and regression tree analysis for identification of subgroups of risk in patients with heart failure and reduced left ventricular ejection fraction. Int J Cardiovasc Imaging. 2021 Jun;37(6):1853-1861. doi: 10.1007/s10554-021-02159-6. Epub 2021 Jan 16.
PMID: 33454896DERIVED
Biospecimen
Serum
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
April 12, 2016
First Posted
May 6, 2016
Study Start
May 1, 2016
Primary Completion
May 1, 2020
Study Completion
May 1, 2020
Last Updated
January 26, 2021
Record last verified: 2021-01
Data Sharing
- IPD Sharing
- Will share