Research Journal of Medical Sciences
ISSN: Online 1993-6095ISSN: Print 1815-9346
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Abstract
Chronic kidney disease (CKD) is a significant global health burden associated with adverse outcomes and high healthcare utilization. This longitudinal observational study aimed to investigate CKD progression and healthcare utilization patterns in a cohort of patients with CKD over a one‐year period. A cohort of 100 patients with CKD was followed for one year, with data collected on demographic characteristics, comorbidities, laboratory parameters and healthcare utilization. Linear mixed‐effects models and Cox proportional hazards models were used to analyze CKD progression and identify risk factors. Machine learning models were developed to predict CKD progression and healthcare utilization. The overall eGFR decline was ‐2.4 mL/min/1.73m2/year (95% CI: ‐2.8, ‐2.0; p<0.001), with a faster decline among patients with diabetes (‐3.1 mL/min/1.73 m2/year; 95% CI: ‐3.7, ‐2.5; p<0.001). Albuminuria increased by 28.4 mg/g/year (95% CI: 20.6, 36.2; p<0.001), with a steeper increase in patients with hypertension (35.2 mg/g/year; 95% CI: 25.8, 44.6; p<0.001). Older age, male sex, diabetes, hypertension, lower baseline eGFR and higher baseline albuminuria were significant risk factors for faster CKD progression. Healthcare utilization rates were high and increased with advancing CKD stages. The predictive models demonstrated good performance, with AUC‐ROC values ranging from 0.74 to 0.83. This study highlights the significant burden of CKD progression and healthcare utilization in patients with CKD. The identified risk factors and predictive models could inform personalized management strategies to slow CKD progression and improve patient outcomes. Early identification and management of risk factors, particularly diabetes and hypertension, are crucial in reducing the burden of CKD.
How to cite this article:
Abhishek Kumar Dwivedi, Satyam and Ishita Ghosh. Observational Analysis of Disease Progression and Healthcare Utilization Patterns in Patients with Chronic Kidney Disease: A Longitudinal Study.
DOI: https://doi.org/10.36478/10.36478/makrjms.2024.6.445.450
URL: https://www.makhillpublications.co/view-article/1815-9346/10.36478/makrjms.2024.6.445.450