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Drug Dosing in Renal Diseases: Measurement of Serum Creatinine Concentration and Clearance01:25

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In healthy individuals, serum creatinine levels remain stable due to a balance between its constant production—primarily from muscle metabolism—and renal excretion. Creatinine is freely filtered by the glomeruli, making it a valuable marker for estimating renal function. When the glomerular filtration rate (GFR) decreases, the kidneys can only eliminate less creatinine, causing serum levels to rise.Serum creatinine concentration is widely used to estimate creatinine clearance...
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Renal clearance is a crucial parameter in pharmacokinetics that quantifies the rate at which the kidneys excrete a drug. It represents a constant fraction of the central volume of distribution containing the drug that the kidney eliminates per unit of time.
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Factors Affecting Renal Clearance: Renal Impairment01:17

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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.
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Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration01:28

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Glomerular filtration rate (GFR) can be estimated from serum creatinine using the modification of diet in renal disease (MDRD) formula or the chronic kidney disease–epidemiology collaboration (CKD–EPI) equation. Both methods are widely used in clinical practice to assess kidney function and guide treatment decisions.The MDRD equation does not require weight or height measurements and is normalized to the body surface area of 1.73 m², considered the average adult surface area.
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Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

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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.
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Renal Drug Clearance: Comparison Between Renal Excretion Methods01:08

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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.
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A simple scoring method to predict augmented renal clearance in haematologic malignancies.

Kazuki Saito1, Satomi Kamio1, Kanako Ito1

  • 1Department of Pharmacy, National Hospital Organization Sendai Medical Center, Sendai, Japan.

Journal of Clinical Pharmacy and Therapeutics
|June 5, 2020
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Augmented renal clearance (ARC) is common in patients with hematologic malignancies. A new scoring system identifies high-risk patients using age, leukemia, and serum creatinine levels.

Keywords:
augmented renal clearancehaematologic malignanciesrisk factorsscoring method

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Area of Science:

  • Pharmacology
  • Nephrology
  • Oncology

Background:

  • Augmented renal clearance (ARC), defined as creatinine clearance exceeding 130 mL/min/1.73 m², is frequently observed in critically ill patients.
  • Recent studies suggest ARC also occurs in patients with hematologic malignancies, but risk factors and predictive methods are unknown.

Purpose of the Study:

  • To identify risk factors for ARC in patients with hematologic malignancies.
  • To develop and validate a scoring system for predicting ARC in this patient population.

Main Methods:

  • A retrospective, observational cohort study at Sendai Medical Center involving 133 patients in the analysis cohort and 41 in the validation cohort.
  • ARC was defined by vancomycin serum concentrations being lower than calculated values at a creatinine clearance of 130 mL/min/1.73 m².
  • Risk factors were explored, and a predictive scoring method was developed and validated.

Main Results:

  • Multivariate analysis identified young age (≤50 years), leukemia, and low serum creatinine as significant risk factors for ARC.
  • A scoring system was established: age ≤50 years (3 points), 50 < age ≤65 years (1 point), leukemia (2 points), low serum creatinine (2 points).
  • A score of ≥5 points indicated high risk for ARC, achieving 60.0% sensitivity and 89.7% specificity in the analysis cohort, and 90.0% sensitivity and 90.9% specificity in the validation cohort.

Conclusions:

  • A novel scoring method effectively predicts ARC in patients with hematologic malignancies.
  • This scoring system serves as a simple and useful screening tool for identifying patients at high risk of ARC.