Literature DB >> 33303580

CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer.

Edward H Williams1, Thomas R Flint2, Claire M Connell1,3, Daniel Giglio4, Hassal Lee5, Taehoon Ha6, Eva Gablenz6, Nicholas J Bird2, James M J Weaver7,8, Harry Potts5, Cameron T Whitley5, Michael A Bookman9, Andy G Lynch1,10,11, Hannah V Meyer6, Simon Tavaré1,12, Tobias Janowitz13,14.   

Abstract

PURPOSE: Management of patients with cancer, specifically carboplatin dosing, requires accurate knowledge of glomerular filtration rate (GFR). Direct measurement of GFR is resource limited. Available models for estimated GFR (eGFR) are optimized for patients without cancer and either isotope dilution mass spectrometry (IDMS)- or non-IDMS-standardized creatinine measurements. We present an eGFR model for patients with cancer compatible with both creatinine measurement methods. EXPERIMENTAL
DESIGN: GFR measurements, biometrics, and IDMS- or non-IDMS-standardized creatinine values were collected for adult patients from three cancer centers. Using statistical modeling, an IDMS and non-IDMS creatinine-compatible eGFR model (CamGFR v2) was developed. Its performance was compared with that of the existing models Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), Modification of Diet in Renal Disease (MDRD), Full Age Spectrum (FAS), Lund-Malmö revised, and CamGFR v1, using statistics for bias, precision, accuracy, and clinical robustness.
RESULTS: A total of 3,083 IDMS- and 4,612 non-IDMS-standardized creatinine measurements were obtained from 7,240 patients. IDMS-standardized creatinine values were lower than non-IDMS-standardized values in within-center comparisons (13.8% lower in Cambridge; P < 0.0001 and 19.3% lower in Manchester; P < 0.0001), and more consistent between centers. CamGFR v2 was the most accurate [root-mean-squared error for IDMS, 14.97 mL/minute (95% confidence interval, 13.84-16.13) and non-IDMS, 15.74 mL/minute (14.86-16.63)], most clinically robust [proportion with >20% error of calculated carboplatin dose for IDMS, 0.12 (0.09-0.14) and non-IDMS, 0.17 (0.15-0.2)], and least biased [median residual for IDMS, 0.73 mL/minute (-0.68 to 2.2) and non-IDMS, -0.43 mL/minute (-1.48 to 0.91)] eGFR model, particularly when eGFR was larger than 60 ml/minute.
CONCLUSIONS: CamGFR v2 can utilize IDMS- and non-IDMS-standardized creatinine measurements and outperforms previous models. CamGFR v2 should be examined prospectively as a practice-changing standard of care for eGFR-based carboplatin dosing. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33303580      PMCID: PMC9097346          DOI: 10.1158/1078-0432.CCR-20-3201

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  40 in total

1.  A formula to estimate the approximate surface area if height and weight be known. 1916.

Authors:  D Du Bois; E F Du Bois
Journal:  Nutrition       Date:  1989 Sep-Oct       Impact factor: 4.008

2.  Randomized trial of carboplatin versus radiotherapy for stage I seminoma: mature results on relapse and contralateral testis cancer rates in MRC TE19/EORTC 30982 study (ISRCTN27163214).

Authors:  R Timothy D Oliver; Graham M Mead; Gordon J S Rustin; Johnathan K Joffe; Nina Aass; Robert Coleman; Rhian Gabe; Philip Pollock; Sally P Stenning
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

3.  The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations.

Authors:  Kearkiat Praditpornsilpa; Natavudh Townamchai; Tawatchai Chaiwatanarat; Khajohn Tiranathanagul; Pisut Katawatin; Paweena Susantitaphong; Thananda Trakarnvanich; Talerngsak Kanjanabuch; Yingyos Avihingsanon; Kriang Tungsanga; Somchai Eiam-Ong
Journal:  Nephrol Dial Transplant       Date:  2011-02-28       Impact factor: 5.992

4.  Comparing glomerular filtration rate equations and the impact of different creatinine assays on the assessment of renal function in cancer patients.

Authors:  Ashley E Garner; Mark C Barnfield; Michael L Waller; Geoff D Hall; Mike P Bosomworth
Journal:  Ann Clin Biochem       Date:  2019-02-21       Impact factor: 2.057

5.  Estimating glomerular filtration rate from serum creatinine and cystatin C.

Authors:  Lesley A Inker; Christopher H Schmid; Hocine Tighiouart; John H Eckfeldt; Harold I Feldman; Tom Greene; John W Kusek; Jane Manzi; Frederick Van Lente; Yaping Lucy Zhang; Josef Coresh; Andrew S Levey
Journal:  N Engl J Med       Date:  2012-07-05       Impact factor: 91.245

6.  Cystatin C as a parameter of glomerular filtration rate in patients with ovarian cancer.

Authors:  Lubomir Bodnar; Gabriel Benedykt Wcislo; Marta Smoter; Agnieszka Gasowska-Bodnar; Rafał Stec; Agnieszka Synowiec; Cezary Szczylik
Journal:  Kidney Blood Press Res       Date:  2010-08-17       Impact factor: 2.687

7.  Dose-toxicity relationship of carboplatin in combination with cyclophosphamide in ovarian cancer patients.

Authors:  B T Sørensen; A Strömgren; P Jakobsen; A Jakobsen
Journal:  Cancer Chemother Pharmacol       Date:  1991       Impact factor: 3.333

8.  NHANES III: influence of race on GFR thresholds and detection of metabolic abnormalities.

Authors:  Robert N Foley; Changchun Wang; Areef Ishani; Allan J Collins
Journal:  J Am Soc Nephrol       Date:  2007-07-26       Impact factor: 10.121

9.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

10.  Cathepsin B, cathepsin H, cathepsin X and cystatin C in sera of patients with early-stage and inflammatory breast cancer.

Authors:  J Decock; N Obermajer; S Vozelj; W Hendrickx; R Paridaens; J Kos
Journal:  Int J Biol Markers       Date:  2008 Jul-Sep       Impact factor: 3.248

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  1 in total

1.  Glomerular filtration rate estimation for carboplatin dosing in patients with gynaecological cancers.

Authors:  A Samani; R Bennett; K Eremeishvili; F Kalofonou; S Whear; A Montes; R Kristeleit; J Krell; I McNeish; S Ghosh; L Tookman
Journal:  ESMO Open       Date:  2022-02-26
  1 in total

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