Comparison of glomerular filtration rate estimating equations in Indian geriatric patients with cancer.

Authors

null

Vikram Gota

ACTREC, Tata Memorial Centre, Navi Mumbai, India

Vikram Gota , Khushboo A Gandhi , Renita Castelino , Sharath Kumar , Ashish Chavan , Aditi Shirsat , Abhijith Rajaram Rao , Anita Kumar , Anupa Pillai , Arshiya Sehgal , Anant Ramaswamy , Ratan Dhekale , Jyoti Krishnamurthy , Shripad Dinanath Banavali , Rajendra A. Badwe , Kumar Prabhash , Vanita Noronha , Shreya Gattani

Organizations

ACTREC, Tata Memorial Centre, Navi Mumbai, India, ACTREC, Tata Memorial Centre, Mumbai, India, Tata Memorial Hospital (HBNI), Mumbai, India, Tata Memorial Hospital, Mumbai, India, Tata Memorial Centre (HBNI), Mumbai, India, Tata Memorial Centre, Mumbai, India

Research Funding

Other
ICMR-CARE grant number - 55/4/13/CARE-CP/2018-NCD

Background: Accurate estimation of glomerular filtration rate (eGFR) is essential for dose calculation of certain anticancer drugs. It is particularly important in older cancer patients because of age-related compromise in renal function. 99mTc-DTPA plasma clearance for GFR measurement poses practical difficulties in the elderly and is expensive. Therefore, we investigated the predictive accuracy of eight commonly used eGFR equations against 99mTc-DTPA plasma clearance as the gold standard in Indian geriatric oncology population. Methods: A cross-sectional study was conducted in the geriatric oncology clinic of Tata Memorial Hospital, India, from June 2021 to November 2022. Age, sex, weight, BUN and serum creatinine were obtained from the hospital records. Serum cystatin C was estimated using sandwich ELISA (Sigma, Germany). GFR was estimated using Cockcroft-Gault (CG); 6 variable MDRD; 4 variable MDRD; CKD-EPI creatinine; CKD-EPI cystatin; CKD-EPI creatinine-cystatin; BIS 1; and BIS 2 equations. GFR was also measured by 99mTc-DTPA plasma technique (Gates’ method). The agreement between different eGFR methods and the measured GFR was analyzed using Bland-Altman test. Results: Out of 311 enrolled patients, 276 patients having full covariate data required for estimation of eGFR by all eight equations were included in the analysis. Majority were males (N = 214). Median age (range) of the patients was 68 (60 – 88) years. Median of measured GFR using 99mTc-DTPA was 71 (17 – 141) ml/min. The performance i.e., bias and 95% Limit of Agreement (LoA) of eGFR equations against measured GFR is shown in table 1. Overall, the BIS 2 equation with least bias of 0.854 and narrowest 95% LoA (-31.23 to 32.94) had the highest agreement with ‘gold standard’. In fact, BIS 2 performed consistently well across age (60-70, 71-80, 81-90) and BMI (≤18.5, 18.6-24.9, ≥25) groups (data not shown). BIS 2 was followed by CKD-EPIcr-cys and CKD-EPIcys with best estimates of bias and 95% LoA (Table 1). Interestingly, all three equations have cystatin C as a covariate. 4vMDRD had the highest bias (-24.08) and least agreement with DTPA (-86.52 – 38.36). Post hoc analysis showed that 59/115 (51.3%) patients who were cisplatin-ineligible (GFR < 60) based on CG were cisplatin-eligible based on BIS 2, while 19/161 (11.8%) patients who were cisplatin-eligible based on CG were actually ineligible as per BIS 2. Conclusions: Equations derived using cystatin C in general, and BIS 2 in particular, have highest predictive accuracy for GFR estimation in older cancer patients.

Bias and limits of agreement of eGFR equations with respect to measured GFR.

(n = 276)CG6vMDRD4vMDRDCKD-EPIcrCKD-EPIcysCKD-EPIcr-cysBIS 1BIS 2
Bias (Lower LoA – Higher LoA)1.741 (-45.45 to 48.94)-3.365 (-52.0 to 45.27)-24.08 (-86.52 to 38.36)-14.00 (-55.50 to 27.50)5.825 (-35.07 to 46.72)-3.436 (-42.98 to 36.11)-10.50 (-56.39 to 35.39)0.854 (-31.23 to 32.94)

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Symptoms and Survivorship

Track

Symptom Science and Palliative Care

Sub Track

Geriatric Models of Care

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e24025)

DOI

10.1200/JCO.2023.41.16_suppl.e24025

Abstract #

e24025

Abstract Disclosures

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