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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05112393
Other study ID # eGFR MY
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date November 2021
Est. completion date December 2022

Study information

Verified date October 2021
Source University of Malaya
Contact Ina Ismiarti Shariffuddin
Phone +10122353134
Email ismiarti@ummc.edu.my
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

This study aim to recruit all Electronic Medical Record of patients who underwent for 51chromium ethylenediamine tetra acetic acid (51Cr-EDTA) imaging at the Nuclear Medicine Centre, University Malaya Medical Centre from September 2016 to September 2021. The data that collected will be analyzed to develop and validate a new equation to estimate Glomerular Filtration Rate that specifically for Malaysian multiracial population.


Description:

List of patients who underwent for 51Cr EDTA imaging at the Nuclear Medicine Centre, University Malaya Medical Centre from September 2016 to September 2021 will be obtained from relevant department. All patient's Electronic Medical Record (EMR) will be evaluated for recruitment into the study. Demographics data of the patients that will be collected include age, gender, height, weight, and ethnicity. The clinical data that will be collected include CKD aetiology, background comorbidities, and vitals sign and laboratory data includes the renal function test. The 51Cr- EDTA readings were also recorded. If there are multiple measurements of scans performed, the latest 51Cr-EDTA taken. The renal function test must be within three months of when the 51Cr-EDTA imaging was conducted. Patients will be randomized into a development and validation cohort using a random number generated in Microsoft Excel. In the development cohort, a new equation will be developed using a nonlinear regression model utilizing a generalized least squares algorithm. Internal validation will be performed in the validation cohort, by comparing the bias, precision, and accuracy of the new equations and the other established equations to the measured GFR.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 200
Est. completion date December 2022
Est. primary completion date August 2022
Accepts healthy volunteers No
Gender All
Age group 16 Years to 100 Years
Eligibility Inclusion Criteria: - Electronic Medical Records of patient scheduled for 51Cr EDTA imaging at the Nuclear Medicine Centre, University Malaya Medical Centre from September 2016 to September 2021 - Age 16-year-old and above Exclusion Criteria: - Electronic Medical Records of patients with missing data.

Study Design


Related Conditions & MeSH terms


Intervention

Other:
Development of new estimating Glomerular Filtration Rate (eGFR) equation
Development Cohort: A new estimating Glomerular Filtration Rate(eGFR) equation will be developed by using a nonlinear regression model utilizing a generalized least squares algorithm.
Validation of new estimating Glomerular Filtration Rate (eGFR) equation
Validation Cohort: Internal validation will be performed by comparing bias, precision and accuracy of the new equations and the other established equations to the measured GFR.

Locations

Country Name City State
Malaysia University Malaya Medical Centre Kuala Lumpur

Sponsors (1)

Lead Sponsor Collaborator
University of Malaya

Country where clinical trial is conducted

Malaysia, 

References & Publications (20)

Assadi M, Eftekhari M, Hozhabrosadati M, Saghari M, Ebrahimi A, Nabipour I, Abbasi MZ, Moshtaghi D, Abbaszadeh M, Assadi S. Comparison of methods for determination of glomerular filtration rate: low and high-dose Tc-99m-DTPA renography, predicted creatinine clearance method, and plasma sample method. Int Urol Nephrol. 2008;40(4):1059-65. doi: 10.1007/s11255-008-9446-4. Epub 2008 Aug 9. — View Citation

Bragadottir G, Redfors B, Ricksten SE. Assessing glomerular filtration rate (GFR) in critically ill patients with acute kidney injury--true GFR versus urinary creatinine clearance and estimating equations. Crit Care. 2013 Jun 15;17(3):R108. doi: 10.1186/cc12777. — View Citation

Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41. — View Citation

Diego E, Castro P, Soy D, Poch E, Nicolás JM. Predictive performance of glomerular filtration rate estimation equations based on cystatin C versus serum creatinine values in critically ill patients. Am J Health Syst Pharm. 2016 Feb 15;73(4):206-15. doi: 10.2146/ajhp140852. — View Citation

Jalalonmuhali M, Elagel SMA, Tan MP, Lim SK, Ng KP. Estimating Renal Function in the Elderly Malaysian Patients Attending Medical Outpatient Clinic: A Comparison between Creatinine Based and Cystatin-C Based Equations. Int J Nephrol. 2018 May 13;2018:3081518. doi: 10.1155/2018/3081518. eCollection 2018. — View Citation

Jalalonmuhali M, Kok Peng N, Soo Kun L. Comparative Performance of Creatinine-Based Estimated Glomerular Filtration Rate Equations in the Malays: A Pilot Study in Tertiary Hospital in Malaysia. Int J Nephrol. 2017;2017:2901581. doi: 10.1155/2017/2901581. Epub 2017 Jun 18. — View Citation

Jalalonmuhali M, Lim SK, Md Shah MN, Ng KP. MDRD vs. CKD-EPI in comparison to (51)Chromium EDTA: a cross sectional study of Malaysian CKD cohort. BMC Nephrol. 2017 Dec 13;18(1):363. doi: 10.1186/s12882-017-0776-2. — View Citation

Jeong TD, Lee W, Yun YM, Chun S, Song J, Min WK. Development and validation of the Korean version of CKD-EPI equation to estimate glomerular filtration rate. Clin Biochem. 2016 Jun;49(9):713-719. doi: 10.1016/j.clinbiochem.2016.01.023. Epub 2016 Mar 9. — View Citation

Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999 Mar 16;130(6):461-70. — View Citation

Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009 May 5;150(9):604-12. Erratum in: Ann Intern Med. 2011 Sep 20;155(6):408. — View Citation

Liao Y, Liao W, Liu J, Xu G, Zeng R. Assessment of the CKD-EPI equation to estimate glomerular filtration rate in adults from a Chinese CKD population. J Int Med Res. 2011;39(6):2273-80. — View Citation

Liu X, Qiu X, Shi C, Huang H, Huang J, Li M, Lou T. Modified glomerular filtration rate-estimating equations developed in asiatic population for chinese patients with type 2 diabetes. Int J Endocrinol. 2014;2014:521071. doi: 10.1155/2014/521071. Epub 2014 Mar 5. — View Citation

Ma YC, Zuo L, Zhang CL, Wang M, Wang RF, Wang HY. Comparison of 99mTc-DTPA renal dynamic imaging with modified MDRD equation for glomerular filtration rate estimation in Chinese patients in different stages of chronic kidney disease. Nephrol Dial Transplant. 2007 Feb;22(2):417-23. Epub 2006 Oct 19. — View Citation

Madala ND, Nkwanyana N, Dubula T, Naiker IP. Predictive performance of eGFR equations in South Africans of African and Indian ancestry compared with ??mTc-DTPA imaging. Int Urol Nephrol. 2012 Jun;44(3):847-55. doi: 10.1007/s11255-011-9928-7. Epub 2011 Mar 5. — View Citation

Matsuo S, Imai E, Horio M, Yasuda Y, Tomita K, Nitta K, Yamagata K, Tomino Y, Yokoyama H, Hishida A; Collaborators developing the Japanese equation for estimated GFR. Revised equations for estimated GFR from serum creatinine in Japan. Am J Kidney Dis. 2009 Jun;53(6):982-92. doi: 10.1053/j.ajkd.2008.12.034. Epub 2009 Apr 1. — View Citation

Matsuo S, Yasuda Y, Imai E, Horio M. Current status of estimated glomerular filtration rate (eGFR) equations for Asians and an approach to create a common eGFR equation. Nephrology (Carlton). 2010 Jun;15 Suppl 2:45-8. doi: 10.1111/j.1440-1797.2010.01313.x. Review. — View Citation

Md Ralib A, Mohd Hanafiah FN, Abd Rashid I, Abd Rahim MS, Dzaharudin F, Mat Nor MB. Development and Validation of Creatinine-Based Estimates of the Glomerular Filtration Rate Equation from (99m)Tc-DTPA Imaging in the Malaysian Setting. Int J Nephrol. 2021 Sep 8;2021:3465472. doi: 10.1155/2021/3465472. eCollection 2021. — View Citation

Praditpornsilpa K, Townamchai N, Chaiwatanarat T, Tiranathanagul K, Katawatin P, Susantitaphong P, Trakarnvanich T, Kanjanabuch T, Avihingsanon Y, Tungsanga K, Eiam-Ong S. The need for robust validation for MDRD-based glomerular filtration rate estimation in various CKD populations. Nephrol Dial Transplant. 2011 Sep;26(9):2780-5. doi: 10.1093/ndt/gfq815. Epub 2011 Feb 28. — View Citation

Rule AD, Teo BW. GFR estimation in Japan and China: what accounts for the difference? Am J Kidney Dis. 2009 Jun;53(6):932-5. doi: 10.1053/j.ajkd.2009.02.011. — View Citation

Zelnick LR, Leca N, Young B, Bansal N. Association of the Estimated Glomerular Filtration Rate With vs Without a Coefficient for Race With Time to Eligibility for Kidney Transplant. JAMA Netw Open. 2021 Jan 4;4(1):e2034004. doi: 10.1001/jamanetworkopen.2020.34004. — View Citation

* Note: There are 20 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary New equation to estimate GFR that can be used specifically in Malaysian multiracial population New equation that has its own ethnic coefficient that can produce accurate result in Malaysia multiracial population From 1st December 2021 to 31st December 2022
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