Establishing the Kidney dIsease in the National guarD (KIND) registry: an opportunity for epidemiological and clinical research in Saudi Arabia.

BACKGROUND: In Saudi Arabia (SA), there has been an alarming increase in the prevalence of chronic kidney diseases (CKD) over the last three decades. Despite being one of the largest countries in the Middle East, renal conditions remain understudied, and there is limited data on their epidemiology and outcomes in SA. OBJECTIVES: To document the experience of establishing a local renal registry assessing the epidemiology of CKD and identifying potential areas for improving the quality and delivery of care for CKD patients. METHODS: This is a multi-center retrospective registry. Potential participants were identified through the ICD-10 codes from five hospitals serving the National Guard affiliates in SA. Patients aged ≥ 18 years treated in any National Guard hospital since 2010 for glomerulonephritis, CKD, or received hemodialysis, peritoneal dialysis, or renal transplant were enrolled. Once enrolled in the registry, patients were followed to the last visit date. RedCap was used to create and host the online registry platform. RESULTS: A total of 2,912 patients were included, and more than half were younger than 60 years old. Two-thirds of the patients were overweight (25%) or obese (37%). Glomerulonephritis was diagnosed in 10% of the patients, and dialysis-dependent and kidney transplant patients accounted for 31.4% and 24.4%, respectively. Hypertension and diabetes mellitus were detected among 52% and 43% of the participants, respectively. Hemodialysis was the most prevalent dialysis method, with patients spending 3.6 ± 0.4 h per session to receive this treatment. One in every five participants had a kidney biopsy taken (21%). Several barriers and facilitators of the success of this registry were identified. CONCLUSIONS: The KIND registry provides much-needed information about CKD in Saudi Arabia and serves as a model for future projects investigating the natural history and progression of the spectrum of renal diseases. Logistic and financial challenges to the sustainability of registries are identified and discussed.

Unplanned Readmissions in Children with Medical Complexity in Saudi Arabia: A Large Multicenter Study.

Background: Children with medical complexity (CMC) account for a substantial proportion of healthcare spending, and one-third of their expenditures are due to readmissions. However, knowledge regarding the healthcare-resource utilization and characteristics of CMC in Saudi Arabia is limited. Objectives: To describe hospitalization patterns and characteristics of Saudi CMC with an unplanned 30-day readmission. Methodology: This retrospective study included Saudi CMC (aged 0-14 years) who had an unplanned 30-day readmission at six tertiary centers in Riyadh, Jeddah, Dammam, Alahsa, and Almadina between January 2016 and December 2020. Hospital-based inclusion criteria focused on CMC with multiple complex chronic conditions (CCCs) and technology assistance (TA) device use. CMC were compared across demographics, clinical characteristics, and hospital-resource utilization. Results: A total of 9139 pediatric patients had unplanned 30-day readmission during the study period, of which 680 (7.4%) met the inclusion criteria. Genetic conditions were the most predominant primary pathology (66.3%), with one-third of cases (33.7%) involving the neuromuscular system. During the index admission, pneumonia was the most common diagnosis (33.1%). Approximately 35.1% of the readmissions were after 2 weeks. Pneumonia accounted for 32.5% of the readmissions. After readmission, 16.9% of patients were diagnosed with another CCC or received a new TA device, and the in-hospital mortality rate was 6.6%. Conclusion: The rate of unplanned 30-day readmissions in children with medical complexity in Saudi Arabia is 7.4%, which is lower than those reported from developed countries. Saudi children with CCCs and TA devices were readmitted approximately within similar post-discharge time and showed distinct hospitalization patterns associated with specific diagnoses. To effectively reduce the risk of 30-day readmissions, targeted measures must be introduced both during the hospitalization period and after discharge.