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Predictive models in chronic kidney disease: essential tools in clinical practice
Andrea Spasiano1, Claudia Benedetti2, Giovanni Gambaro3
1Dipartimento Universitario di Medicina e Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome.
Current Opinion in Nephrology and Hypertension
|November 8, 2023
Summary
Predicting chronic kidney disease (CKD) progression is crucial for patient management. Current models offer high accuracy, but ongoing research seeks to refine risk assessment for better therapeutic strategies.
Area of Science:
- Nephrology
- Medical Informatics
- Biostatistics
Background:
- Risk prediction is integral to managing chronic kidney disease (CKD).
- Prognostic models aid in crucial clinical decisions like dialysis planning and transplant evaluations.
- Individualized risk assessment is key for effective CKD patient management.
Conclusions:
- Accurate prognosis informs tailored therapies, impacting clinical and psychological outcomes.
- Advancements in disease-modifying treatments offer new possibilities for intervention.
- The field of CKD risk prediction remains dynamic and open to further discovery.
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