Risk-directed management of chronic kidney disease

Matthew F Blum1, Brendon L Neuen2, Morgan E Grams3

  • 1University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

PubMed

Insights

Effective chronic kidney disease (CKD) management requires timely therapy. Prognosis tools can guide clinicians to prescribe beneficial CKD treatments to high-risk patients.

Area of Science:

  • Nephrology
  • Pharmacotherapy
  • Health Informatics

Background:

  • Chronic kidney disease (CKD) presents diverse risks, including kidney failure, cardiovascular events, and mortality.
  • Recent advancements include improved CKD risk prediction using electronic health records.
  • New therapeutic options like SGLT2 inhibitors, GLP-1 RAs, and MRAs have emerged.

Purpose of the Study:

  • To review CKD prognosis tools.
  • To discuss evidence-based CKD management strategies.
  • To explore the role of prognosis-guided therapies in optimizing CKD care.

Main Methods:

  • Review of recent clinical trials and electronic health records data.
  • Analysis of pharmacotherapy options for CKD.
  • Discussion of risk prediction models and their clinical application.

Main Results:

  • Significant progress in CKD risk prediction has been achieved.
  • Several drug classes (SGLT2i, GLP-1 RA, MRA) are effective in reducing CKD adverse events.
  • Current evidence-based therapies remain underutilized, even in high-risk populations.

Conclusions:

  • Prognosis-guided therapy can optimize the selection and timing of CKD treatments.
  • Risk-based CKD management aligns patient risk with clinical care for maximum benefit.
  • Integrating prognosis tools into clinical practice is crucial for improving CKD outcomes.

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