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This is a bi-centric, prospective randomized study to evaluate the contribution of rapid echocardioscopy at the patient's bedside to improving the prognosis of patients hospitalized for acute heart failure. The following markers will be evaluated: sST2, Copeptin, chromogranin, NGAL, suPAR and cystatin.
The JECICA study is the first prospective randomized study to evaluate the contribution of rapid echocardioscopy at the patient's bedside to improving the prognosis of patients hospitalized for acute heart failure (paper submitted to the American Heart Journal, Impact Factor 4.15). The serum library set up to consider this ancillary study can now be used.
With it, a comparative analysis of the expression profiles of emerging biological markers will be made according to whether patients received standard management or the "Jet Echo" strategy. The following markers will be evaluated: sST2, Copeptin, chromogranin, NGAL, suPAR and cystatin. This study should help to explain any differences in results observed, consider the development of multiparametric prognostic scores and explore the correlation between biological markers and the evaluation of echocardiographic congestion from a pathophysiological viewpoint.
The results obtained should lead us to improve our usual practices for the management of heart failure patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Jet Echo group | Biological markers from heart failure patients who underwent therapeutic adjustment according to a daily ultrasound scan |
| |
| Conventional management group | Biological markers from heart failure patients who had conventional management. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Evaluation of the evolution of biological markers from the biobank. | Other | The evolution of sST2, copeptin, chromogranin, NGAL, suPAR and cystatin will be evaluated between Day 0 and Month 1 |
| Measure | Description | Time Frame |
|---|---|---|
| Evolution of the emerging biological marker sST2 in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker sST2 in plasma samples from the Jet Echo group. | Quantitative, ng/mL | 1 Month |
| Evolution of the emerging biological marker sST2 in plasma samples from the conventional management group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker sST2 in plasma samples from the conventional management group. | Quantitative, ng/mL | 1 Month |
| Evolution of the emerging biological marker copeptin in plasma samples from the Jet Echo group | Quantitative, pmol/L | Day 0 |
| Evolution of the emerging biological marker copeptin in plasma samples from the Jet Echo group | Quantitative, pmol/L | Month 1 |
| Evolution of the emerging biological marker copeptin in plasma samples from the conventional management group | Quantitative, pmol/L | Day 0 |
| Evolution of the emerging biological marker copeptin in plasma samples from the conventional management group |
| Measure | Description | Time Frame |
|---|---|---|
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Sex | The sex of participants will be noted as Male/Female | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Sex |
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Inclusion Criteria: (General inclusion criteria)
Inclusion criteria for target population:
Exclusion Criteria : (General non-inclusion criteria)
Criteria for non-inclusion regarding associated interfering diseases or conditions:
Exclusion criteria:
- Patient hospitalized for more than (>) 1 month.
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Serum library already constituted from the population of the original JECICA study whose selection criteria are described above (samples available from 169 patients, collected at D0 and at 1 month).
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Nîmes University Hospital | Nîmes | Gard | 30029 | France | ||
| Montpellier University Hospital, Arnaud de Villeneuve |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 17531592 | Background | Brennan JM, Blair JE, Goonewardena S, Ronan A, Shah D, Vasaiwala S, Brooks E, Levy A, Kirkpatrick JN, Spencer KT. A comparison by medicine residents of physical examination versus hand-carried ultrasound for estimation of right atrial pressure. Am J Cardiol. 2007 Jun 1;99(11):1614-6. doi: 10.1016/j.amjcard.2007.01.037. Epub 2007 Apr 18. | |
| 15921804 |
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The samples analyzed in the JECICA2 study come from the serum library already constituted from the population of the original JECICA study, the selection criteria of which are as follows (samples available from 169 patients, collected at D0 and 1 month).
Patients hospitalized for acute heart failure who received at least 40mg of IV furosemide.
Patients with impaired Left Ventricular Ejection Fraction, <50%. Patients with an Nt-ProBNP value >1200pg/ml.
Quantitative, pmol/L |
| Month 1 |
| Evolution of the emerging biological marker chromogranin in plasma samples from the Jet Echo group | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker chromogranin in plasma samples from the Jet Echo group | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker chromogranin in plasma samples from the conventional management group | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker chromogranin in plasma samples from the conventional management group | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker NGAL in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker NGAL in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker NGAL in plasma samples from the conventional management group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker NGAL in plasma samples from the conventional management group. | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker suPAR in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker suPAR in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker suPAR in plasma samples from the conventional management group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker suPAR in plasma samples from the conventional management group. | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker cystatin in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker cystatin in plasma samples from the Jet Echo group. | Quantitative, ng/mL | Month 1 |
| Evolution of the emerging biological marker cystatin in plasma samples from the conventional management group. | Quantitative, ng/mL | Day 0 |
| Evolution of the emerging biological marker cystatin in plasma samples from the conventional management group. | Quantitative, ng/mL | Month 1 |
The sex of participants will be noted as Male/Female |
| Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Age | The age of participants will be noted in years | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Age | The age of participants will be noted in years | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Diuresis | The diuresis of participants will be measured in millilitres | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Diuresis | The diuresis of participants will be measured in millilitres | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Diuresis | The diuresis of participants will be measured in millilitres | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Diuresis | The diuresis of participants will be measured in millilitres | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: blood pressure | The blood pressure of participants will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: blood pressure | The blood pressure of participants will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: blood pressure | The blood pressure of participants will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: blood pressure | The blood pressure of participants will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: heart rate | The heart rate of participants will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: heart rate | The heart rate of participants will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: heart rate | The heart rate of participants will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: heart rate | The heart rate of participants will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: risk factors | Cardiovascular risk factors (hypertension, diabetes, dyslipidemia, heredity) will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: risk factors | Cardiovascular risk factors (hypertension, diabetes, dyslipidemia, heredity) will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: risk factors | Cardiovascular risk factors (hypertension, diabetes, dyslipidemia, heredity) will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: risk factors | Cardiovascular risk factors (hypertension, diabetes, dyslipidemia, heredity) will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: history | The history and etiology of the heart disease (ischemic dilated, rhythmic, valvular, toxic, alcoholic) will be noted. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: history | The history and etiology of the heart disease (ischemic dilated, rhythmic, valvular, toxic, alcoholic) will be noted. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: history | The history and etiology of the heart disease (ischemic dilated, rhythmic, valvular, toxic, alcoholic) will be noted. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: history | The history and etiology of the heart disease (ischemic dilated, rhythmic, valvular, toxic, alcoholic) will be noted. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Left ventricle Ejection Fraction | The Left ventricle Ejection Fraction will be measured as a %. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Left ventricle Ejection Fraction | The Left ventricle Ejection Fraction will be measured as a %. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Left ventricle Ejection Fraction | The Left ventricle Ejection Fraction will be measured as a %. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Left ventricle Ejection Fraction | The Left ventricle Ejection Fraction will be measured as a %. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: renal insufficiency stage | The stage of renal insufficiency (urea, creatinine, Calcium-Dependent Protein Kinase clearance) will be measured. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: renal insufficiency stage | The stage of renal insufficiency (urea, creatinine, Calcium-Dependent Protein Kinase clearance) will be measured. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: renal insufficiency stage | The stage of renal insufficiency (urea, creatinine, Calcium-Dependent Protein Kinase clearance) will be measured. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: renal insufficiency stage | The stage of renal insufficiency (urea, creatinine, Calcium-Dependent Protein Kinase clearance) will be measured. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: New York Heart Association stage | The New York Heart Association stage will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: New York Heart Association stage | The New York Heart Association stage will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: New York Heart Association stage | The New York Heart Association stage will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: New York Heart Association stage | The New York Heart Association stage will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Type of heart failure | The type of heart failure (congestive heart failure/left heart failure/right heart failure) will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Type of heart failure | The type of heart failure (congestive heart failure/left heart failure/right heart failure) will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Type of heart failure | The type of heart failure (congestive heart failure/left heart failure/right heart failure) will be noted | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Type of heart failure | The type of heart failure (congestive heart failure/left heart failure/right heart failure) will be noted | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Type of therapy | The therapy given (Beta-blocker, ACE inhibitor, ARB2, Anti aldosterone, diuretics) and dosage, Implantable cardiac device, pacemaker will be noted. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the Jet Echo group: Type of therapy | The therapy given (Beta-blocker, ACE inhibitor, ARB2, Anti aldosterone, diuretics) and dosage, Implantable cardiac device, pacemaker will be noted. | Month 1 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Type of therapy | The therapy given (Beta-blocker, ACE inhibitor, ARB2, Anti aldosterone, diuretics) and dosage, Implantable cardiac device, pacemaker will be noted. | Day 0 |
| Correlation between emerging biomarkers and clinical symptomatology in the conventional management group: Type of therapy | The therapy given (Beta-blocker, ACE inhibitor, ARB2, Anti aldosterone, diuretics) and dosage, Implantable cardiac device, pacemaker will be noted. | Month 1 |
| Montpellier |
| Hérault |
| 34295 |
| France |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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