SCREENING OF UROLOGICAL ANOMALIES ASSOCIATED WITH ANORECTAL MALFORMATIONS IN CHILDREN AT ALEXANDRIA PEDIATRIC SURGERY DEPARTMENT. TWO YEAR EXPERIENCE | ||
| ALEXMED ePosters | ||
| Article 1, Volume 5, Issue 4, December 2023, Pages 9-10 | ||
| Document Type: Preliminary preprint short reports of original research | ||
| DOI: 10.21608/alexpo.2023.240044.1702 | ||
| Authors | ||
| Ahmed Khairi Gabr1; Mohamed Abouheba2; Ahmed Mohamed Oshiba3; MARCO PAUL MGELEKA* 4 | ||
| 1Pediatric Surgery Unit, Department of Surgery,Faculty of Medicine, Alexandria University. | ||
| 2Department of Pediatric Surgery, Faculty of Medicine, Alexandria University | ||
| 3Department of Surgery, Faculty of Medicine | ||
| 4Department of Surgery, faculty of Medicine | ||
| Abstract | ||
| Anorectal malformation is one of the most common congenital anomalies encountered in pediatric surgical practices. Its global incidence is approximately 1 in every 4,000 to 5,000 live births, with a slight male predominance. Approximately over 50% of children with ARM have associated abnormalities, whereby urological anomalies comprise more than half of associated abnormalities with incidence between 30% and 50%. Screening of urological anomalies through a thoroughly genital examination and renal ultrasound imaging at birth or in the neonatal period is crucial to detect associated genitourinary anomalies for early management and avoidance of renal damage. Aim This study aimed to identify and classify the associated urological anomalies with anorectal malformation patients admitted to Pediatric Surgery Department at Alexandria University Children’s Hospital. Patients and Methods A retrospective observational study was conducted in Pediatric Surgery Department at the Alexandria University Children’s Hospital. All patients with anorectal malformations and underwent urological screening between June 2021 and June 2023 were included. Information’s were obtained from the patients’ files. Urological screening methodology used were thoroughly genital examination, renal ultrasound and voiding cystourethrogram (VCUG). Data were fed to the computer and analyzed using IBM SPSS software package version 20.0. | ||
| Keywords | ||
| ARM; HARA; LARA | ||
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