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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.
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.
Abstract:
The timely and rational institution of therapy is a key step towards reducing the global burden of chronic kidney disease (CKD). CKD is a heterogeneous entity with varied aetiologies and diverse trajectories, which include risk of kidney failure but also cardiovascular events and death. Developments in the past decade include substantial progress in CKD risk prediction, driven in part by the accumulation of electronic health records data. In addition, large randomized clinical trials have demonstrated the effectiveness of sodium-glucose co-transporter 2 inhibitors, glucagon-like peptide 1 receptor agonists and mineralocorticoid receptor antagonists in reducing adverse events in CKD, greatly expanding the options for effective therapy. Alongside angiotensin-converting enzyme inhibitors and angiotensin receptor blockers, these classes of medication have been proposed to be the four pillars of CKD pharmacotherapy. However, all of these drug classes are underutilized, even in individuals at high risk. Leveraging prognostic estimates to guide therapy could help clinicians to prescribe CKD-related therapies to those who are most likely to benefit from their use. Risk-based CKD management thus aligns patient risk and care, allowing the prioritization of absolute benefit in determining therapeutic selection and timing. Here, we discuss CKD prognosis tools, evidence-based management and prognosis-guided therapies.
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