Correlation Between Renal Biomarkers, Glomerular Filtration Rate, and Meropenem Clearance in Pediatric Septic Shock

Brandon Vo1, Julie Huynh2, Robert H Mak2

  • 1Department of Biochemistry (BV), University of California Riverside, Riverside, CA.

Insights

Estimated glomerular filtration rate (eGFR) methods showed weak correlation with meropenem clearance in hospitalized children. Renal function in critically ill children, particularly those with sepsis, is highly variable, impacting drug dosing accuracy.

Area of Science:

  • Pediatric Nephrology
  • Clinical Pharmacology
  • Critical Care Medicine

Background:

  • Accurate estimation of renal function is crucial for appropriate drug dosing in pediatric patients, especially those with critical illnesses like sepsis.
  • Meropenem clearance (CL MERO) can be significantly affected by variations in renal function, including acute kidney injury (AKI) and augmented renal clearance (ARC).
  • Existing estimated glomerular filtration rate (eGFR) methods are widely used but their reliability in critically ill children with fluctuating renal function is not well-established.

Purpose of the Study:

  • To evaluate the correlation between various eGFR estimation methods and observed meropenem clearance (CL MERO) in hospitalized children.
  • To identify the accuracy of different eGFR equations in detecting AKI and ARC in this population.
  • To understand the variability of renal function in critically ill children, particularly those with sepsis.

Main Methods:

  • A prospective study involving 27 children (aged 4 weeks to 21 years) receiving meropenem (20mg/kg IV every 8 hours) between 2019 and 2023.
  • Comparison of sepsis cases (n=19) with controls (n=8), measuring plasma meropenem concentrations and renal function biomarkers (serum creatinine [SCr], cystatin C [SCys]).
  • GFR was estimated using multiple methods: eGFR-MS (modified Schwartz/CKD-EPI), eGFR-Cr, eGFR-Cys, eGFR-Avg (Pierce equations), and eGFR-Pot (Pottel).

Main Results:

  • Analysis of 309 meropenem serum concentrations revealed a weak correlation (Spearman Rho 0.073–0.14) between all tested eGFR methods and CL MERO.
  • Significant discordance (41%) was observed between SCr-based and SCys-based eGFR in identifying ARC and AKI.
  • Renal function in critically ill children, especially those with sepsis, demonstrated extreme daily diversity and variability.

Conclusions:

  • Current eGFR estimation methods exhibit poor correlation with actual meropenem clearance in hospitalized children.
  • The high variability and unpredictability of renal function in critically ill children, particularly with sepsis, pose challenges for accurate therapeutic drug monitoring.
  • Further research is needed to develop more reliable methods for assessing renal function in this vulnerable pediatric population to optimize antibiotic therapy.
Abstract

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