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03:13
Technical Refinement of a Bilateral Renal Ischemia-Reperfusion Mouse Model for Acute Kidney Injury Research
Published on: November 3, 2023
[Analgesia and renal insufficiency].
Vincent Bourquin1, Pierre-Auguste Petignat, Marie Besson
1Service de néphrologie, HUG, 1211 Genève 14. vincent.bourquin@hcuge.ch
Revue Medicale Suisse
|November 26, 2008
Summary
Managing pain in chronic kidney disease (CKD) is challenging due to aging populations. This study offers an algorithm for selecting appropriate analgesics and adjusting dosages for CKD patients with varying renal failure degrees.
Area of Science:
- Nephrology
- Pharmacology
- Geriatrics
Context:
- Increasing prevalence of chronic kidney disease (CKD) with global population aging.
- Challenges in drug prescription and management for CKD patients.
- Limited research on analgesic dosing adjustments in renal impairment.
Purpose:
- To propose a literature-based algorithm for analgesic selection in CKD patients.
- To guide appropriate drug dosing based on the degree of renal failure.
- To address pain management challenges in the growing CKD population.
Summary:
- The study introduces an algorithm to aid in selecting the correct analgesic for patients with chronic kidney disease.
- It details drug dosing adjustments for commonly used analgesics: acetaminophen, nonsteroidal anti-inflammatory drugs (NSAIDs), and opioids.
- The algorithm considers the specific degree of renal failure in each patient.
Impact:
- Facilitates safer and more effective pain management for individuals with chronic kidney disease.
- Provides clinicians with a practical tool for optimizing analgesic therapy in renal impairment.
- Contributes to improved patient outcomes and quality of life for the aging CKD population.
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