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Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration

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Renal failure occurs when the kidneys lose their ability to filter waste products from the blood effectively. It can be classified into two types: acute renal failure (ARF) and chronic renal failure (CRF).
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In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
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Related Experiment Video

Updated: Apr 29, 2026

Measuring Frailty in HIV-infected Individuals. Identification of Frail Patients is the First Step to Amelioration and Reversal of Frailty

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Published on: July 24, 2013

Risk Prediction Models for Frailty in Maintenance Hemodialysis Patients: A Systematic Review and Meta-Analysis.

Fan Yang¹, Hua Kang¹, Shuyao Wang¹

¹Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.

Seminars in Dialysis

|April 27, 2026

Summary

This summary is machine-generated.

Frailty is prevalent in 39% of Chinese maintenance hemodialysis patients. Key predictors include age, low albumin, inactivity, comorbidities, poor nutrition, functional decline, female sex, and depression, guiding preventive strategies.

Keywords:

frailty maintenance hemodialysis prediction model systematic review/meta‐analysis

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Frailty Assessment in an Aging Mouse Model

Frailty Assessment in an Aging Mouse Model

Published on: September 23, 2025

Area of Science:

Gerontology and Nephrology
Clinical Epidemiology
Health Services Research

Background:

Frailty is a significant concern among patients undergoing maintenance hemodialysis (MHD).
Accurate risk prediction models are crucial for early intervention in this population.
Existing models for Chinese MHD patients require systematic evaluation.

Conclusions:

Frailty affects 39% of Chinese MHD patients, highlighting a critical public health issue.
Identified predictors provide a foundation for targeted preventive measures.
Frailty prediction models for Chinese MHD patients are nascent; future research should refine model development and validation for clinical application.