scholarly journals Use of glomerular filtration rate estimating equations for drug dosing in HIV-positive patients

2013 ◽  
Vol 18 (6) ◽  
pp. 793-802 ◽  
Author(s):  
Aghogho A Okparavero ◽  
Hocine Tighiouart ◽  
Zipporah Krishnasami ◽  
Christina M Wyatt ◽  
Hiba Graham ◽  
...  
AIDS ◽  
2013 ◽  
Vol 27 (10) ◽  
pp. 1573-1581 ◽  
Author(s):  
Amandine Gagneux-Brunon ◽  
Pierre Delanaye ◽  
Nicolas Maillard ◽  
Anne Fresard ◽  
Thierry Basset ◽  
...  

2020 ◽  
Vol 105 (9) ◽  
pp. e8.2-e9
Author(s):  
Rachel Boys

AimRenal toxicity causes major morbidity following chemotherapy- abnormal iGFRs may be detected in up to 73.7% of patients.1 Creatinine is universally used as a biomarker to track fluctuating function and to calculate surrogate glomerular filtration rate (GFR) in the form of estimating equations.2 There is concern regarding the suitability of creatinine as a biomarker in this population, and it is proposed that cystatin C as a biomarker alone and also included in estimating equations may offer improved clinical suitability and accuracy.3MethodsIn this prospective, longitudinal study over a period of 18 months, 132 combined isotope GFR (iGFR), creatinine and cystatin C measurements were taken from 48 paediatric oncology patients at a Northern Children’s Hospital. Correlation and agreement analysis was performed for both individual biomarkers and estimating equations. Sensitivity data, along with ROC curve analysis was performed for all biomarkers and estimating equations. Data from three identified patients was isolated to examine individual patient variation over time.ResultsCreatinine identified only 1/32 patients with an abnormal iGFR (<90 ml/min/1.73 m2) compared to cystatin C which identified 12/32. Creatinine values and both estimating equations failed to change significantly over a period of declining iGFR though cystatin C did show a significant inverse increase (p<0.05). Bland Altman analysis for both the creatinine and combined equation showed poor agreement (mean difference -64 ml/min/1.3 m2 and -20 ml/min/1.73 m2 respectively). All biomarkers and equations showed poor sensitivity to detect an abnormal iGFR either below 70 ml/min/1.73 m2 or 90 ml/min/1.73 m2. A transformation factor applied to the equations significantly improved the sensitivity and clinical applicability of all equations. The data from three individual patients failed to reveal any significant intra-patient relationships.ConclusionData from this study cannot support the use of creatinine or cystatin C as a single biomarker to monitor renal function in children undergoing chemotherapy. Newer cystatin C and creatinine combined equations, whilst offering statistical superiority, do not offer the clinical superiority to replace iGFR or provide a tool for accurate dose calculations. A transformation factor can be applied to the results gained from the estimating equations to significantly improve the detection of abnormal iGFR, though work in other patient cohorts is needed to support this. Previous work also supported the use of a transformation factor, though application of their transformation factor to this current cohort failed to replicate the 100% sensitivity findings previously demonstrated4. Three patients were identified from the cohort and their paired iGFR and estimated GFR were monitored prospectively, over a period of approximately a year. Significant variation was observed between iGFR and eGFR at each time point for all three patients and therefore personalisation of GFR estimation from baseline iGFR and demographic data could not be proposed. This requires exploration in a larger cohort with the possible inclusion of additional baseline variables.ReferencesCRUK Survival trends over time in Children’s Cancers. 1.2015. https://www.cancerresearchuk.org/health-professional/cancer-statistics/childrens-cancers/survival#heading-Two Accessed 28th March 2019.NICE ( 2013) CG169 Acute kidney injury: Prevention, detection and management of acute kidney injury up to the point of renal replacement therapy.Barnfield, MC, Burniston, MT, Reid, U, et al. Cystatin C in assessment of glomerular filtration rate in children and young adults suffering from cancer. Nuclear Medicine Communications 2013;34:609–614.Dodgshun, AJ, Quinlan, C, Sullivan, MJ. Cystatin C based equation accurately estimates glomerular filtration rate in children with solid and central nervous system tumours: enough evidence to change practice? Pediatric Blood and Cancer 2016;63:1535–1538.


2018 ◽  
Vol 7 (8) ◽  
pp. 211 ◽  
Author(s):  
Linda Awdishu ◽  
Ana Connor ◽  
Josée Bouchard ◽  
Etienne Macedo ◽  
Glenn Chertow ◽  
...  

Acute kidney injury (AKI) can potentially lead to the accumulation of antimicrobial drugs with significant renal clearance. Drug dosing adjustments are commonly made using the Cockcroft-Gault estimate of creatinine clearance (CLcr). The Modified Jelliffe equation is significantly better at estimating kidney function than the Cockcroft-Gault equation in the setting of AKI. The objective of this study is to assess the degree of antimicrobial dosing discordance using different glomerular filtration rate (GFR) estimating equations. This is a retrospective evaluation of antimicrobial dosing using different estimating equations for kidney function in AKI and comparison to Cockcroft-Gault estimation as a reference. Considering the Cockcroft-Gault estimate as the criterion standard, antimicrobials were appropriately adjusted at most 80.7% of the time. On average, kidney function changed by 30 mL/min over the course of an AKI episode. The median clearance at the peak serum creatinine was 27.4 (9.3–66.3) mL/min for Cockcroft Gault, 19.8 (9.8–47.0) mL/min/1.73 m2 for MDRD and 20.5 (4.9–49.6) mL/min for the Modified Jelliffe equations. The discordance rate for antimicrobial dosing ranged from a minimum of 8.6% to a maximum of 16.4%. In the event of discordance, the dose administered was supra-therapeutic 100% of the time using the Modified Jelliffe equation. Use of estimating equations other than the Cockcroft Gault equation may significantly alter dosing of antimicrobials in AKI.


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