Epidemiology and outcomes of pediatric autosomal recessive polycystic kidney disease in the Middle East and North Africa.
Mohamed A SalmanAhmed ElgebalyNeveen A SolimanPublished in: Pediatric nephrology (Berlin, Germany) (2024)
The incidence of rare diseases is expected to be comparatively higher in the Middle East and North Africa (MENA) region than in other parts of the world, attributed to the high prevalence of consanguinity. Most MENA countries share social and economic statuses, cultural relativism, religious beliefs, and healthcare policies. Polycystic kidney diseases (PKDs) are the most common genetic causes of kidney failure, accounting for nearly 8.0% of dialysis cases. The development of PKDs is linked to variants in several genes, including PKD1, PKD2, PKHD1, DZIP1L, and CYS1. Autosomal recessive PKD (ARPKD) is the less common yet aggressive form of PKD. ARPKD has an estimated incidence between 1:10,000 and 1:40,000. Most patients with ARPKD require kidney replacement therapy earlier than patients with autosomal dominant polycystic kidney disease (ADPKD), often in their early years of life. This review gathered data from published research studies and reviews of ARPKD, highlighting the epidemiology, phenotypic presentation, investigations, genetic analysis, outcomes, and management. Although limited data are available, the published literature suggests that the incidence of ARPKD may be higher in the MENA region due to consanguineous marriages. Patients with ARPKD from the MENA region usually present at a later disease stage and have a relatively short time to progress to kidney failure. Limited data are available regarding the management practice in the region, which warrants further investigations.
Keyphrases
- polycystic kidney disease
- risk factors
- healthcare
- replacement therapy
- electronic health record
- systematic review
- big data
- genome wide
- primary care
- copy number
- intellectual disability
- public health
- tertiary care
- smoking cessation
- chronic kidney disease
- mental health
- randomized controlled trial
- type diabetes
- adipose tissue
- data analysis
- gene expression
- transcription factor
- autism spectrum disorder
- social media
- meta analyses
- case report
- weight loss
- deep learning
- health information
- artificial intelligence
- bioinformatics analysis