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Completed

NCT Number: NCT04598503

Congenital Anomalies and Risk Factors

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.

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Key information

Age range

Up to 4 week

Sex eligibility

All sexes

Study type

Observational

Primary location

Assiut University Children Hospital

Asyut, 71511, Egypt

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • All the babies admitted to the hospital with congenital anomalies during this period were included.

Exclusion criteria

  • All stillbirths were excluded from this study.

Treatment and study plan

full history and clinical examination

Other

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).

Primary outcomes

  1. prevalence of congenital anomalies

    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)

Secondary outcomes

  1. risk factors

    Time frame: 6months

    To determined the risk factors of congenital anomalies by a detailed perinatal, maternal and family history were obtained by interviewing questionnaire.

Sponsors and collaborators

Lead sponsor

Assiut University

Other

Registry information

Official study title

Prevalence, Types and Risk Factors of Congenital Anomalies(A Hospital Based Study)

Important dates

Study start
2017
Primary completion
2018
Study completion
2018
First posted
Oct 22, 2020
Registry last updated
Oct 22, 2020

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.

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