Self-Management Data and Disease Progression in Chronic Kidney Disease

Overview

This study evaluates disease progression and management characteristics in patients with chronic kidney disease (CKD) using an integrated mobile application and hospital information system (HIS) clinical data. The main goals of this study are: 1. To observe patient self-management recording performance and adherence (continuity of recording blood pressure, blood glucose, medication, and diet). 2. To explore associations between integrated self-management data and disease progression or acute exacerbations (e.g., acute kidney injury, hyperkalemia). 3. To gather foundational evidence for optimizing and improving future digital health applications for CKD management. Participants will be recruited from outpatient clinics at Chungnam National University Hospital and followed prospectively for 1 year with regular follow-up visits.

This is a single-center, non-interventional, prospective observational study designed to collect clinical laboratory data and patient-generated self-management records in adults requiring chronic kidney disease (CKD) management. Participants will undergo prospective observation for 1 year, involving 7 scheduled regular outpatient visits at 2-month intervals. Data Collection: 1. Patient-Generated Data: Participants will record home blood pressure (twice daily), blood glucose (twice daily, if applicable), medication intake, and diet logs (photographs taken 5 days prior to each visit) via a mobile application. 2. Clinical Data: Clinical metrics including blood pressure, body weight, height, body mass index (BMI), routine lab results (chemistry, hematology, urinalysis), body composition analysis (BIA), ECG, and medication history will be extracted from the hospital information system (HIS). All clinical evaluations follow routine standard-of-care procedures, with no additional research-specific invasive procedures performed. 3. User Experience: Satisfaction surveys regarding the CKD management app will be administered at 4, 8, and 12 months. Statistical Analysis: Continuous variables will be analyzed using one-way ANOVA, and categorical variables will be evaluated using chi-square tests. Associations between self-management adherence patterns, clinical metrics, and disease progression will be assessed.