Assiut University Children Hospital
Asyut, 71511, Egypt
NCT Number: NCT04598503
The aim of the study is to determine the prevalence, describe the types and risk factors of congenital anomalies among newborns admitted to Neonatal Intensive Care Unit (NICU) of Assiut University Children Hospital (AUCH). It is a prospective and a case control study was performed and screening of the newborn admitted at NICU of Assiut University Children Hospital during the period of 6 months from 1-12-2017 to the end of 5-2018 the sample was 346 newborns, 173 cases and 173 control. Data were collected using a record checklist and an interviewing questionnaire. Conclusion: The prevalence of congenital anomalies was 22.97%. The most common anomalies were gastrointestinal anomalies (GIT), musculoskeletal anomalies, multiple anomalies and circulatory system anomalies. The risk factors were consanguineous marriage, positive family history, urban areas, full-term and singleton pregnancies.
Looking for future studies?
Notify MeUp to 4 week
All sexes
Observational
Asyut, 71511, Egypt
The aim of the study is to determine the prevalence, describe the types and risk factors of congenital anomalies among newborns admitted to Neonatal Intensive Care Unit (NICU). Study design: This is a prospective case control study was carried out in the neonatal intensive care unit. It is a tertiary care center. The center provides multi-specialist care and serves as a major referral center for hospitals within and outside the city. The study was done during the period of 6 months from December 2017 to May 2018. Patients: All the babies admitted to the hospital with congenital anomalies during this period were included. All stillbirths were excluded from this study. The sample was 346 newborns, 173 cases and 173 control. For each case, a detailed perinatal and maternal and family history were obtained by interviewing questionnaire. Diagnosis of congenital anomalies was based on clinical evaluation of newborn babies by the neonatologist and other appropriate investigations such as radiography, ultrasonography, echocardiography and chromosomal analysis etc... Classification of anomalies is done by systems according to WHO international classification of diseases (ICD10) [10]. Data was entered into excel data sheet and appropriate statistical analysis was performed. The prevalence was calculated by dividing the number of CA during the 6 months (173) by the total number of admission during this period (753). Statistical analysis: Data were analyzed using (SPSS Statistics for Windows, Version 21.0, NY). Descriptive analysis of the whole sample; where data were expressed as mean values and standard deviations for quantitative variables, and numbers and frequencies for qualitative variables. Bivariate analysis was performed to assess associations between various independent variables and the dependent variable (presence of congenital anomalies), chi-square was used to compare the difference in distribution of frequencies among different groups and if number inside the cell was small we used Fisher's Exact Test. Independent sample T-test was used to compare the difference in means among different groups. A significant p value was considered when it less than or equal 0.05.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
For each case, a detailed perinatal and maternal and family history were obtained by interviewing questionnaire. Diagnosis of congenital anomalies was based on clinical evaluation of newborn babies by the neonatologist and other appropriate investigations such as radiography, ultrasonography, echocardiography and chromosomal analysis etc... Classification of anomalies is done by systems according to WHO international classification of diseases (ICD10) [10]. Data was entered into excel data sheet and appropriate statistical analysis was performed. The prevalence was calculated by dividing the number of CA during the 6 months (173) by the total number of admission during this period (753).
Time frame: 6months
The prevalence was calculated by dividing the number of CA during the 6 months (173) by the total number of admission during this period (753) newborns admitted to Neonatal Intensive Care Unit (NICU)
Time frame: 6months
To determined the risk factors of congenital anomalies by a detailed perinatal, maternal and family history were obtained by interviewing questionnaire.
Assiut University
Other
Prevalence, Types and Risk Factors of Congenital Anomalies(A Hospital Based Study)
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT02553148
Cancer, Cardiovascular Disease
Fairfax Station, Virginia, United States
View Trial DetailsNCT07167017
Communication Disorders, Congenital Abnormalities
View Trial DetailsNCT07064356
Congenital Abnormalities, Congenital Anomalies
View Trial DetailsNCT05290701
Congenital Abnormalities, Congenital Anomalies
Leiden, South Holland, Netherlands
View Trial Details