Indian J Nephrol
George Institute for Global Health India, New Delhi, India.
Published: September 2024
Background: Existing creatinine-based equations to estimate glomerular filtration rate (GFR), developed primarily in populations of European and African American ancestry, do not accurately reflect the GFR in the Indian population due to differences in body composition, diet, and other factors. This manuscript describes the rationale and methodology for developing a creatinine-based equation for more accurate GFR estimation in Indian subjects.
Materials And Methods: This cross-sectional study will be conducted in India's two geographically and demographically diverse locations: Chandigarh (north) and Puducherry (south). Participants will include a representative sample from the general population and subjects with chronic kidney disease (CKD), with the latter being recruited from outpatient clinics. A total of 1558 subjects will be enrolled in the discovery and cross-validation cohort and 620 subjects in the external validation cohort. The reference standard for measured GFR (mGFR) will be the plasma clearance of iohexol. Stepwise multiple regression on log-transformed data will determine a set of variables that jointly predict mGFR and identify factors influencing mGFR and estimated (eGFR) in the study population. This study will also explore the performance of mGFR by iohexol measurement from dried blood spots against mGFR from plasma clearance of iohexol.
Conclusion: Developing a more reliable and accurate creatinine-based GFR estimating equation will improve CKD diagnosis, classification, and management. The findings will have substantial implications for CKD research in India and other regions with similar populations.
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http://dx.doi.org/10.25259/IJN_221_2024 | DOI Listing |
Anal Chim Acta
May 2025
College of Pharmacy, Guangdong Pharmaceutical University, Guangzhou Higher Education Mega Center, Guangzhou, 510006, PR China.
Background: Creatinine is a small molecule disease biomarker that reflects kidney function, accurate and effective detection of creatinine will play an important role in the prevention and treatment of diseases. Currently, commonly used creatinine detection methods are limited by expensive instruments, complex sample preparation, many interference factors from biological samples, and environmental factors that can affect the accuracy of the measurement. Therefore, developing a fast, simple, inexpensive, sensitive analysis method that can eliminate background interference and provide multi-detection modes has strong attraction and value.
View Article and Find Full Text PDFIndian J Nephrol
September 2024
George Institute for Global Health India, New Delhi, India.
Background: Existing creatinine-based equations to estimate glomerular filtration rate (GFR), developed primarily in populations of European and African American ancestry, do not accurately reflect the GFR in the Indian population due to differences in body composition, diet, and other factors. This manuscript describes the rationale and methodology for developing a creatinine-based equation for more accurate GFR estimation in Indian subjects.
Materials And Methods: This cross-sectional study will be conducted in India's two geographically and demographically diverse locations: Chandigarh (north) and Puducherry (south).
Clin Nutr ESPEN
February 2025
Intensive Clinical Nutrition Unit, Accredited Center for Home Parenteral Nutrition, Hospices Civils de Lyon, Centre Hospitalier Lyon-Sud, Pierre-Bénite, France.
Background & Aims: Accurate determination of renal function is of utmost importance in chronic intestinal failure (CIF) patients on parenteral nutrition (PN) and creatinine based glomerular filtration rate (GFR) estimating equation is used in clinical practice. The aim of the present study is to evaluate the reliability of 3 CKD-EPI GFR estimating equations (eGFR) (creatinine, cystatin C or combined creatinine/cystatin C) compared with the reference method which is Iohexol plasma clearance (mGFR) in patients on long-term PN (>6 months) owing to CIF.
Methods: Forty-eight patients (25 F) with a median age of 58 years (Interquartile Range:15) presenting CIF on PN for a median duration of 93 months (75) were included in this retrospective study.
Clin Chem
February 2025
Kidney Health Research Collaborative, University of California San Francisco, San Francisco VA Healthcare System, San Francisco, CA, United States.
Background: Cystatin C is a long-established filtration marker which can be used to assess kidney function, but it has been sparingly used for clinical care due to creatinine's role as the primary biomarker for kidney function assessment based on estimated glomerular filtration rate (eGFR).
Content: This review summarizes the evolution of cystatin C's role in kidney disease assessment and highlights new guidelines promoting more widespread use. Specifically, the 2021 National Kidney Foundation and American Society of Nephrology Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease report, and the 2024 Kidney Disease Improving Global Outcomes (KDIGO) Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease (CKD), recommend increased use of cystatin C as an alternative and complementary biomarker for kidney function assessment, since it does not differ by race like creatinine, correlates better with adverse outcomes compared to creatinine, and provides a more accurate eGFR when used in combination with creatinine.
EJIFCC
December 2024
Section of Chemical Pathology, Department of Pathology & Laboratory Medicine, The Aga Khan University, Karachi, Pakistan.
Introduction: Chronic Kidney Disease (CKD) is prevalent in Pakistan, necessitating accurate diagnostic methods. This study evaluates the CKD-EPI 2009, CKD-EPI 2021, CKD-EPI Pak, MDRD, and EKFC equations against creatinine clearance (CrCl) to determine their diagnostic accuracy for CKD in the Pakistani population.
Methods: n a retrospective cross-sectional study, data from 2,310 participants aged 18-70 were analyzed at The Aga Khan University in Karachi.
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