- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01364636
Accuracy of Urinary NGAL in Predicting CardioRenal Syndrome in Acute Heart Failure at Emergency - CYNDERELA-HF Study (CYNDERELA-HF)
Accuracy of Urinary Neutrophil Gelatinase-Associated Lipocalin (NGAL) in Predicting Cardio-renal Syndrome in Acute Decompensated Heart Failure at Emergency - CYNDERELA-HF Study
Rationale: Heart Failure (HF) elevated prevalence in Brasil and the world; 20-30% AHF patients develop CardioRenal Syndrome (CRS) type 1; Worsening Renal Failure (WRF) is a prognostic marker of mortality in Acute HF;NGAL is a novel biomarker of Acute Kidney Injury released in 2 hours, and addressed in several different clinical scenarios(contrast injury, cardiopulmonary bypass, critical illness.
Hypothesis: Admission NGAL predicts CRS in AHF patients admitted to the Emergency Room (ER).
Primary goal: To evaluate the diagnostic accuracy and the best cutoff value of urinary NGAL to predict the development of CRS type 1 in patients admitted to the Emergency Room.
Secondary goals: 1- To evaluate the prognostic impact of NGAL on in-hospital adverse outcomes (length of hospitalization, death, institution of renal replacement therapy, use of vasoactive drugs, mechanical ventilation).2- Evaluate the prognostic impact of NGAL in adverse outcomes in 30 days, 60 days and 6 months (death, rehospitalization, institution of renal replacement therapy).3- Identify clinical and hemodynamic characteristics of Acute HF that can influence the evolutionary behavior of NGAL levels in 48 hours.4- Identify the association of drugs commonly used for HF management, which might influence the evolutionary behavior of NGAL levels in 48 hours.5-Assess the impact of NGAL results in clinical decision making.
Methods: Observational, prospective, blinded study. Population: Acute HF patients admitted to the ER of Hospital Pró Cardiaco and Hospital Antonio Pedro - Universidade Federal Fluminense.
Statistics: Convenience Sample size (n=180); determination of best cut-off: ROC analysis; Predictive performance of the cut-off: sensibility, specificity, likelihood ratio, predictive value, accuracy; Identification of variables to predict CRS: logistic regression and square-Qui test; Correlations analysis of normally distributed variables: Pearson's linear correlation test; Mean values for normally distributed variables: Mann-Wittney test; Significance on p<0,05; Intra-assay variation analysis.
Study chronogram: Recruitment: 12 months; Results analysis and conclusions: 60 days; Manuscript preparation for paper submission: 30 days.
Study Overview
Status
Conditions
Detailed Description
Rationale: Heart Failure (HF) elevated prevalence in Brasil and the world; 20-30% AHF patients develop CardioRenal Syndrome (CRS) type 1; Worsening Renal Failure (WRF) is a prognostic marker of mortality in Acute HF; available biomarker shows irreversible damage, late in CRS evolution.(creatinine);NGAL is a novel biomarker of Acute Kidney Injury released in 2 hours, and addressed in several different clinical scenarios(contrast injury, cardiopulmonary bypass, critical illness...); Acute HF patient's risk stratification will allow appropriate resource allocation and establishment of criteria for hospital admission and discharge.
Hypothesis: Admission NGAL predicts CRS in AHF patients admitted to the Emergency Room (ER).
Primary goal: To evaluate the diagnostic accuracy and the best cutoff value of urinary NGAL to predict the development of CRS type 1 in patients admitted to the Emergency Room.
Secondary goals: 1- To evaluate the prognostic impact of NGAL on in-hospital adverse outcomes (length of hospitalization, death, institution of renal replacement therapy, use of vasoactive drugs, mechanical ventilation).2- Evaluate the prognostic impact of NGAL in adverse outcomes in 30 days, 60 days and 6 months (death, rehospitalization, institution of renal replacement therapy).3- Identify clinical and hemodynamic characteristics of Acute HF that can influence the evolutionary behavior of NGAL levels in 48 hours.4- Identify the association of drugs commonly used for HF management, which might influence the evolutionary behavior of NGAL levels in 48 hours.5-Assess the impact of NGAL results in clinical decision making.
Methods: Observational, prospective, blinded study. Population: Acute HF patients admitted to the ER of Hospital Pró Cardiaco and Hospital Antonio Pedro - Universidade Federal Fluminense.
Statistics: Convenience Sample size (n=180); determination of best cut-off: ROC analysis; Predictive performance of the cut-off: sensibility, specificity, likelihood ratio, predictive value, accuracy; Identification of variables to predict CRS: logistic regression and square-Qui test; Correlations analysis of normally distributed variables: Pearson's linear correlation test; Mean values for normally distributed variables: Mann-Wittney test; Significance on p<0,05; Intra-assay variation analysis.
Study chronogram: Recruitment: 12 months; Results analysis and conclusions: 60 days; Manuscript preparation for paper submission: 30 days.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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RJ
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Rio de Janeiro, RJ, Brazil, 22280-000
- Hospital Universitario Antonio Pedro
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- acute heart failure according to the Framingham's criteria
- informed consent signed
Exclusion Criteria:
- Acute coronary syndrome
- cardiogenic shock
- terminal renal disease
- transplanted patients
- known nephrotoxicity exposure
- urinary tract infection
- sepsis
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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Acute Heart Failure
Patients admitted to emergency room in Acute Heart Failure at Hospital PróCardíaco and Hospital Universitario Antonio Pedro
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
CardioRenal Syndrome type 1 development
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
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CardioRenal Syndrome type 1 development defined by the elevation of serum creatinine of 0,3mg/dL and/or of 50% of baseline values
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participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
length of hospitalization
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
number of days of the study entry hospitalization
|
participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
|
in-hospital death
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
Death within the study entry hospitalization period
|
participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
|
institution of renal replacement therapy
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
need for any kind of dyalisis procedure.
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participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
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need to use of vasoactive drugs
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
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if the patient was submitted to use of vasoactive drugs as dopamine, dobutamine, noradrenaline, milrinone, and other vasoactive drugs
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participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
|
mechanical ventilation
Time Frame: participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
if the patient was submitted to mechanical ventilation during the hospitalization period
|
participants will be followed for the duration of hospital stay, an expected average of 5 weeks
|
|
death
Time Frame: patients will be followed up to 360 days after hospital discharge
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death after study entry hospitalization discharge
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patients will be followed up to 360 days after hospital discharge
|
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rehospitalization
Time Frame: patients will be followed up to 360 days after hospital discharge
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need to be admitted to any hospital after study entry hospitalization discharge
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patients will be followed up to 360 days after hospital discharge
|
|
institution of renal replacement therapy
Time Frame: patients will be followed up to 360 days after hospital discharge
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need to be submitted to any dyalisis procedure after study entry hospitalization discharge
|
patients will be followed up to 360 days after hospital discharge
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Evandro T Mesquita, PhD, Fluminense Federal University - Cardiovascular Sciences Department, coordinator of post graduation courses; Hospital PróCardíaco - Medical Director
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- CYNDERELA-HF
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