Accuracy of Urinary NGAL in Predicting CardioRenal Syndrome in Acute Heart Failure at Emergency - CYNDERELA-HF Study

NCT ID: NCT01364636

Last Updated: 2018-03-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

TERMINATED

Total Enrollment

180 participants

Study Classification

OBSERVATIONAL

Study Start Date

2011-02-28

Study Completion Date

2012-09-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

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.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

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.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Cardiorenal Syndrome

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Acute Heart Failure

Patients admitted to emergency room in Acute Heart Failure at Hospital PróCardíaco and Hospital Universitario Antonio Pedro

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Universidade Federal Fluminense

OTHER

Sponsor Role collaborator

Hospital Universitário Antonio Pedro

OTHER

Sponsor Role collaborator

Diagnósticos da América S.A.

UNKNOWN

Sponsor Role collaborator

Pro-Cardiaco Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Department of Cardiovascular Sciences - Fluminense Federal University, Hospital PróCardíaco

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Evandro T Mesquita, PhD

Role: PRINCIPAL_INVESTIGATOR

Fluminense Federal University - Cardiovascular Sciences Department, coordinator of post graduation courses; Hospital PróCardíaco - Medical Director

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Hospital Universitário Antonio Pedro

Rio de Janeiro, Rio de Janeiro, Brazil

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Brazil

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

CYNDERELA-HF

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.