Surveillance of Hospitalizations Due to Rotavirus Infections Among Children From Israel
NCT ID: NCT00484952
Last Updated: 2007-08-01
Study Results
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Basic Information
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UNKNOWN
2500 participants
OBSERVATIONAL
2007-09-30
2009-09-30
Brief Summary
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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 \< 0.05 will be considered significant.
Detailed Description
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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 (i.e. 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 \< 0.05 will be considered significant.
Conditions
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Study Design
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DEFINED_POPULATION
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Hospitalization due diarrheal disease within the study period in the pediatric wards participating in the study
* Controls: hospitalization due non-gastrointestinal causes within the study period in the pediatric wards participating in the study
Exclusion Criteria
1 Month
5 Years
ALL
Yes
Sponsors
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Tel Aviv University
OTHER
Laniado Hospital
OTHER
Carmel Medical Center
OTHER
The Meshulash Research and Development Center Kfar Qaraa
UNKNOWN
Ministry of Health, Israel
OTHER_GOV
Hillel Yaffe Medical Center
OTHER_GOV
Principal Investigators
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Dani Cohen, PhD
Role: PRINCIPAL_INVESTIGATOR
Tel Aviv University
Locations
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Carmenl Medical Center
Haifa, , Israel
Laniado Medical Center
Netanya, , Israel
Countries
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Central Contacts
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Facility Contacts
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Moshe Efrat, MD
Role: primary
Uri Robenstien, MD
Role: primary
Other Identifiers
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48/2006
Identifier Type: -
Identifier Source: org_study_id