Clinical Protocol Validation to Identify Prognostic Markers for Critical Care Pediatric Patients (PCL07)
Recruitment status was Recruiting
The purpose of this study is to monitor the respiratory, metabolic and nutritional status of critically ill pediatric patients undergoing mechanical ventilation and to correlate the clinical and physiopathological findings with inflammatory activity measurements in order to identify prognostic biomarkers.
Metabolic Expenditure and Respiratory Function.
Polymorphisms Determinations of the Genes for TNF-alfa(-863 e -308), IL-1ra, LTalfa, IL-6, MIF e IL10.
NF-kappa B Activation.
|Study Design:||Observational Model: Cohort
Time Perspective: Prospective
|Official Title:||Clinical Protocol Validation to Identify Prognostic Markers for Critical Care Pediatric Patients|
- mortality [ Time Frame: two years ] [ Designated as safety issue: Yes ]
- morbidity [ Time Frame: two years ] [ Designated as safety issue: Yes ]
Biospecimen Retention: Samples With DNA
DNA extracts from blood or oral swab
|Study Start Date:||October 2007|
|Estimated Study Completion Date:||January 2012|
|Estimated Primary Completion Date:||December 2011 (Final data collection date for primary outcome measure)|
142 Patients in respiratory failure with a diagnosis of ARDS hospitalized at the ICU.
432 patients in respiratory failure from other causes (ARDS being formally excluded), hospitalized at the same ICU.
626 healthy patients undergoing elective surgery at the Pediatric Surgery Department or recruited from the pediatric ambulatory.
Background: Acute Respiratory Distress Syndrome (ARDS) is a frequent cause of respiratory failure in the pediatric intensive care unit (ICU). Bedside respiratory and metabolic monitoring has reduced both morbidity and mortality of children with ARDS in the ICU, and allowed precise evaluation of the gravity of ARDS in individual patients. Recent advances indicate that some ARDS patients present specific, genetically determined profiles of cytokine production, but it is unclear how these relate to systemic inflammation and the gravity of ARDS. It is necessary to define the correlation between genotype, systemic inflammation and prognosis in this group of patients, ir order to define whether they should be targeted for more aggressive anti-inflammatory and immunomodulatory therapy.
Objectives: 1) To evaluate metabolic expenditure,bioelectrical impedance (BIA) and respiratory function in critically ill children undergoing mechanical ventilation. 2) To correlate the metabolic and respiratory parameters with duration of mechanical ventilation, weaning, nutritional status,Phase angle (PA) of BIA, PRISMI and PIM 2 scores in the same children.3) To determine the presence of polymorphisms in the genes for TNF-alfa (- 308 and -863), IL-1ra, IL-6, MIF, LTalfa, il-10 and CD14 in the same children. 4) To define functional parameters of systemic inflammation, including plasma levels of TNF-alfa, IL-1ra, IL-6 and translocation of NF-kappa B in the same children. 5) To correlate genomic and immunological data with PRISM I and PIM 2 scores, PA and mortality.
Methodology: 1) Study Design: A cohort of patients undergoing mechanical ventilation will be submitted to metabolic and respiratory monitoring, and to monitoring of systemic inflammation by measurement of plasma cytokines and NF-kB translocation in peripheral blood leukocytes; a cross-sectional study of cytokine gene polymorphisms will be carried out int hte same population. 2)Subjects: 1000 children, aged 1 mo to 17 yr. Group A: 200 children with ARDS; Group B: 400 children with respiratory failure unrelated to ARDS; Group C (controls): 400 children undergoing preoperatory exams at surgical ward for elective surgery. 3) Methods: Metabolic monitoring: determination of VCO2, VO2, RQ, EEM through indirect calorimetry. Bioelectrical impedance: determination of resistance, reactance and phase angle. Respiratory monitoring: determination of respiratory parameters through capnography, pulse oxymetry, and assessment of respiratory mechanics. Genomic analysis: restriction site mapping and allele-specific amplification by PCR. Immunological evaluation: measurement of plasma cytokines by luminex multiple essays and analysis of NF-kB activation.
|Contact: Zina Maria A Azevedo, Phdemail@example.com|
|Contact: Daniella B Moore, Phdfirstname.lastname@example.org|
|Instituto Fernandes Figueira||Recruiting|
|Rio de Janeiro, Brazil, 22250-020|
|Contact: Zina Maria A Azevedo, Phd 021-25541873 email@example.com|
|Contact: Daniella B Moore, phd 021-25541731 firstname.lastname@example.org|
|Principal Investigator: Zina Maria A Azevedo, MD PhD|
|Sub-Investigator: Maria Ignez G Elsas, MD PhD|
|Sub-Investigator: Pedro Paulo X Elsas, MD PhD|
|Sub-Investigator: Milton O Moraes, PhD|
|Sub-Investigator: Elisabeth Sampaio, MD PhD|
|Sub-Investigator: Daniella B Moore, MD PhD|
|Sub-Investigator: Zilton M Vasconcelos, PhD|
|Sub-Investigator: Maria Virginia P Dutra, PhD|
|Sub-Investigator: Eloane G Ramos, PhD|
|Sub-Investigator: Vania M Mattos, PhD|
|Sub-Investigator: Marcia C Castro, Msc|
|Sub-Investigator: Luis Fernando P Amêndola, Msc|
|Sub-Investigator: Daniela M Caixeta, M.D.|
|Principal Investigator:||Zina Maria A de Azevedo||Fernandes Figueira Institute - Fiocruz|
|Study Chair:||Daniella B Moore||Fernandes Figueira Institute - Fiocruz|