1. Panel estimated Glomerular Filtration Rate (GFR): Statistical considerations for maximizing accuracy in diverse clinical populations.
- Author
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Fino NF, Inker LA, Greene T, Adingwupu OM, Coresh J, Seegmiller J, Shlipak MG, Jafar TH, Kalil R, Costa E Silva VT, Gudnason V, Levey AS, and Haaland B
- Subjects
- Humans, Female, Male, Middle Aged, Aged, Adult, Glomerular Filtration Rate, Cystatin C blood, Creatinine blood, Biomarkers blood
- Abstract
Assessing glomerular filtration rate (GFR) is critical for diagnosis, staging, and management of kidney disease. However, accuracy of estimated GFR (eGFR) is limited by large errors (>30% error present in >10-50% of patients), adversely impacting patient care. Errors often result from variation across populations of non-GFR determinants affecting the filtration markers used to estimate GFR. We hypothesized that combining multiple filtration markers with non-overlapping non-GFR determinants into a panel GFR could improve eGFR accuracy, extending current recognition that adding cystatin C to serum creatinine improves accuracy. Non-GFR determinants of markers can affect the accuracy of eGFR in two ways: first, increased variability in the non-GFR determinants of some filtration markers among application populations compared to the development population may result in outlying values for those markers. Second, systematic differences in the non-GFR determinants of some markers between application and development populations can lead to biased estimates in the application populations. Here, we propose and evaluate methods for estimating GFR based on multiple markers in applications with potentially higher rates of outlying predictors than in development data. We apply transfer learning to address systematic differences between application and development populations. We evaluated a panel of 8 markers (5 metabolites and 3 low molecular weight proteins) in 3,554 participants from 9 studies. Results show that contamination in two strongly predictive markers can increase imprecision by more than two-fold, but outlier identification with robust estimation can restore precision nearly fully to uncontaminated data. Furthermore, transfer learning can yield similar results with even modest training set sample size. Combining both approaches addresses both sources of error in GFR estimates. Once the laboratory challenge of developing a validated targeted assay for additional metabolites is overcome, these methods can inform the use of a panel eGFR across diverse clinical settings, ensuring accuracy despite differing non-GFR determinants., Competing Interests: Dr. Inker reports research grants to institution from the National Institute of Health/National Institute of Diabetes and Digestive and Kidney Diseases (grant 1R01DK116790), National Kidney Foundation, Chinnocks, Omeros and Reata Pharmaceuticals; consulting fees from Diamtrix; and participation on the medical advisory council for Alport Foundation and the scientific advisory board for National Kidney Foundation. Dr. Levey reports research grants to institution from the National Institute of Diabetes and Digestive and Kidney Diseases and National Kidney Foundation; royalties from UpToDate; honoraria from academic medical centers for visiting Professorships or Lectures; payment from AstraZeneca for participation on data safety/advisory board for clinical trials of Dapagliflozin. Dr. Greene reports research grants from the National Kidney Foundation, Collaborative Study Group, National Institutes of Health, and Patient-Centered Outcomes Research Institute. Dr. Haaland reports NIH R01 grant ad consulting fees from the National Kidney Foundation. Dr. Coresh reports grants from the National Institutes of Health and being scientific advisor to healthy.io. Dr. Kalil reports receiving research grant from Eurofins. Dr. Shlipak reports grants to his institution from Bayer Pharmaceuticals and National Institutes of Health – National Institute of Aging, National Institute of Diabetes and Digestive and Kidney Diseases, and National Heart Lung and Blood Institute; consulting fees from Cricket Health; honorarium from Boehringer Ingelheim, Astra Zeneca, and Bayer pharmaceuticals; payment for expert testimony from Hagens Berman International law firm; and serving as Chairman board of directors of Northern California Institute for Research and Education. Consulting fees and payments from commercial companies provided support in the form of salaries for authors but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. These commercial affiliations do not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2024 Fino et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2024
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