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Renal Failure: Dose Adjustments01:11

Renal Failure: Dose Adjustments

161
In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
Reduced renal clearance and elimination rate are common outcomes of renal impairment. These alterations lead to a prolonged elimination half-life and an altered apparent volume of distribution for drugs. As a result, dosage adjustments are typically necessary to maintain optimal drug levels in the body.
However, dosage adjustments...
161
Factors Affecting Renal Clearance: Renal Impairment01:17

Factors Affecting Renal Clearance: Renal Impairment

162
Renal dysfunction significantly impairs the renal clearance of drugs, leading to potential complications in drug therapy. Renal failure, which can be caused by various factors, poses a significant challenge in the elimination of drugs from the body.
One condition associated with renal failure is uremia. Uremia is characterized by impaired glomerular filtration and fluid accumulation in the body. This condition hinders the renal clearance of drugs, resulting in drug accumulation and potential...
162
Renal Drug Clearance: Comparison Between Renal Excretion Methods01:08

Renal Drug Clearance: Comparison Between Renal Excretion Methods

278
Renal clearance is a critical parameter encompassing kidney filtration, secretion, and reabsorption processes. It is calculated using a specific equation to determine the rate at which the kidneys clear a drug.
Renal clearance is often associated with the renal glomerular filtration rate (GFR), which represents the rate at which plasma is filtered through the glomeruli in the kidney. When drug reabsorption is minimal and there is no active secretion, renal clearance is closely related to the...
278
Renal Drug Excretion: Effect of Urine pH, Flow Rate, and Drug pKa01:22

Renal Drug Excretion: Effect of Urine pH, Flow Rate, and Drug pKa

277
The pH of urine, the drug's pKa, and the urine flow rate are vital parameters for drug reabsorption and excretion. Urinary pH varies between 4.6 and 8.0 and is influenced by diet, drug intake, and the patient's pathophysiology. It affects a drug's ionization state and reabsorption. For instance, carbohydrate-rich food produces alkaline urine promoting drug excretion, while proteins and certain medications like ascorbic acid lead to acidic urine enhancing reabsorption.
The pKa of a...
277
One-Compartment Open Model: Urinary Excretion Data and Determination of k01:11

One-Compartment Open Model: Urinary Excretion Data and Determination of k

290
The one-compartment open model leverages urinary excretion data to estimate renal clearance, which gauges the kidney's capacity to expel a drug. This method offers several benefits, including directly measuring drug elimination and assessing the kidney's contribution to overall drug clearance. However, this approach has limitations. It assumes sole renal excretion of the drug, which is not true for all drugs. Accurate urinary excretion and plasma drug concentration measurement can also...
290
Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

203
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
203

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Related Experiment Video

Updated: Sep 14, 2025

Physiology Lab Demonstration: Glomerular Filtration Rate in a Rat
06:58

Physiology Lab Demonstration: Glomerular Filtration Rate in a Rat

Published on: July 26, 2015

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Impact of using different renal function estimation equations on vancomycin dosing.

Laura Gratacós1,2, Dolors Soy-Muner3

  • 1Pharmacy, Hospital Universitario de Girona Doctor Josep Trueta, Girona, Spain lgratacos.girona.ics@gencat.cat.

European Journal of Hospital Pharmacy : Science and Practice
|July 18, 2025
PubMed
Summary
This summary is machine-generated.

The Cockcroft-Gault (CG) formula best predicts vancomycin minimum concentration (Cmin). Renal function estimation equations are not interchangeable for optimizing vancomycin dosage.

Keywords:
Drug MonitoringKidney Failure, ChronicPHARMACISTSPHARMACOKINETICSPHARMACY SERVICE, HOSPITAL

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Area of Science:

  • Pharmacokinetics and Pharmacodynamics
  • Nephrology
  • Infectious Diseases

Background:

  • Accurate estimation of renal function is crucial for optimizing vancomycin dosing.
  • Several formulae exist to estimate renal function, including Cockcroft-Gault (CG), CKD-EPI, and MDRD.
  • The interchangeability of these formulae for vancomycin dosage adjustments requires further investigation.

Purpose of the Study:

  • To compare the accuracy of CG, CKD-EPI, and MDRD formulae in predicting vancomycin minimum concentration (Cmin).
  • To determine if these formulae can be used interchangeably for vancomycin dose optimization.

Main Methods:

  • Observational, retrospective study of hospitalized adult patients receiving intravenous vancomycin.
  • Exclusion criteria included severe renal impairment, high BMI, extracorporeal clearance, and unstable renal function.
  • Bayesian analysis was used to obtain individual pharmacokinetic parameters, including vancomycin clearance (CLvan) estimated by CG, CKD-EPI, and MDRD formulae.
  • Comparison of estimated Cmin (eCmin) with observed Cmin using intraclass correlation coefficient (ICC) and kappa coefficient for Area Under the Curve (AUC) concordance.

Main Results:

  • The CG formula demonstrated statistically significant better agreement with observed Cmin (ICC >0.7) across most subgroups.
  • MDRD and CKD-EPI showed adequate agreement with CG only in patients with serum creatinine (Scr) >1.1 mg/dL.
  • Agreement varied across subgroups, with CG showing superior Cmin prediction in low weight and elderly patients.

Conclusions:

  • The Cockcroft-Gault (CG) formula is the most accurate for predicting vancomycin Cmin.
  • The MDRD formula showed good predictive capacity in specific subgroups (eGFR <60 mL/min, age 46-75 years).
  • Renal function estimation formulae are not interchangeable for optimizing vancomycin dosage, highlighting the importance of selecting the appropriate formula based on patient characteristics.