Viewing Study NCT00484952



Ignite Creation Date: 2024-05-05 @ 5:35 PM
Last Modification Date: 2024-10-26 @ 9:33 AM
Study NCT ID: NCT00484952
Status: UNKNOWN
Last Update Posted: 2007-08-01
First Post: 2007-06-11

Brief Title: Surveillance of Hospitalizations Due to Rotavirus Infections Among Children From Israel
Sponsor: Hillel Yaffe Medical Center
Organization: Hillel Yaffe Medical Center

Study Overview

Official Title: Multicenter Study for Surveillance of Hospitalizations Due to Rotavirus-Associated Diarrhea and Estimation of the Economic Burden of Rotavirus Hospitalizations
Status: UNKNOWN
Status Verified Date: 2007-06
Last Known Status: NOT_YET_RECRUITING
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Objectives

1 To determine the burden and characteristics of rotavirus-associated hospitalizations among children under five years of age of northern Israel
2 To identify potential risk factors of rotavirus infections associated with hospitalizations among Jewish and Arab children younger than five years of age

Methods

Study design A two-year prospective study and a nested case control study will be carried out Collection of data Questionnaires will be filled in with demographic characteristics of patients and data on the clinical manifestation of the diarrheal episode leading to hospitalization Stool specimens will be systematically collected from all children hospitalized because of diarrheal diseases and examined for rotavirus and for bacterial and protozoan enteropathogens Positive samples for rotavirus will be tested for G and P genotypes

For the nested case control study additional data will be obtained from parents interviews on variables such as parents education parents age parents occupation no of siblings age of siblings breastfeeding etc to identify potential risk factors for rotavirus diarrhea necessitating hospitalization

Data analysis Methods of descriptive statistics epidemiology will be applied to determine the characteristics of the burden of rotavirus-associated hospitalizations the distribution of diarrhea associated hospitalizations by etiology rates of rotavirus diarrheal diseases in Jewish and Arab children age specific rates of rotavirus infections the percentage of hospitalizations due to rotavirus diarrhea by month etc

For the nested case control study univariate analysis will be first performed using Student t test for continuous variables and chi square test for categorical variables to study the statistical significance of predictive factors of rotavirus diarrheal diseases necessitating hospitalization Multivariate analysis using logistic regression models will be performed to study the independent effect of each variable Odds ratios OR and 95 CI will be computed for each variable Two tailed p 005 will be considered significant
Detailed Description: Rationale Vaccination against rotavirus is the most appropriate mean for prevention and control of rotavirus infections Israel is highly endemic for diarrheal diseases but limited data exist on the burden epidemiology of rotavirus diarrheal diseases Such data are essential to assess the relevance of potential future vaccination against rotavirus-associated gastroenteritis in Israel

Objectives

1 To determine the burden and characteristics of rotavirus-associated hospitalizations among children under five years of age of northern Israel
2 To identify potential risk factors of rotavirus infections associated with hospitalizations among Jewish and Arab children younger than five years of age

Methods

Study design A two-year prospective study and a nested case control study will be carried out Study population About 45000 children aged less than five years residing in the catchment areas of three pediatric wards of sentinel hospitals Laniado - Netanya Carmel - Haifa Hillel Yaffe -Hadera will be under daily surveillance for hospitalizations due to rotavirus diarrheal diseases for two years The catchment area of the 3 hospitals has a good representation of both Jewish and Arab pediatric population During the study period we expect 400 hospitalizations due to diarrheal diseases and 80 hospitalizations due to rotavirus gastroenteritis annually in each of the three hospitals ie 480 cases of rotavirus- diarrheal disease in the two year study 100 subjects hospitalized because of rotavirus associated diarrhea and 100 controls matched by age gender and origin will be recruited for the nested case-control study

Collection of data Questionnaires will be filled in with demographic characteristics of patients and data on the clinical manifestation of the diarrheal episode leading to hospitalization Stool specimens will be systematically collected from all children hospitalized because of diarrheal diseases and examined for rotavirus and for bacterial and protozoan enteropathogens Positive samples for rotavirus will be tested for G and P genotypes

For the nested case control study additional data will be obtained from parents interviews on variables such as parents education parents age parents occupation no of siblings age of siblings breastfeeding etc to identify potential risk factors for rotavirus diarrhea necessitating hospitalization

Data analysis Methods of descriptive statistics epidemiology will be applied to determine the characteristics of the burden of rotavirus-associated hospitalizations the distribution of diarrhea associated hospitalizations by etiology rates of rotavirus diarrheal diseases in Jewish and Arab children age specific rates of rotavirus infections the percentage of hospitalizations due to rotavirus diarrhea by month etc

For the nested case control study univariate analysis will be first performed using Student t test for continuous variables and chi square test for categorical variables to study the statistical significance of predictive factors of rotavirus diarrheal diseases necessitating hospitalization Multivariate analysis using logistic regression models will be performed to study the independent effect of each variable Odds ratios OR and 95 CI will be computed for each variable Two tailed p 005 will be considered significant

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: None
Is a FDA Regulated Device?: None
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None