Skip to main content

Main menu

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • Subject Collections
    • JASN Podcasts
    • Archives
    • Saved Searches
    • ASN Meeting Abstracts
  • Authors
    • Submit a Manuscript
    • Author Resources
  • Editorial Team
  • Subscriptions
  • More
    • About JASN
    • Alerts
    • Advertising
    • Editorial Fellowship Program
    • Feedback
    • Reprints
    • Impact Factor
  • ASN Kidney News
  • Other
    • CJASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
American Society of Nephrology
  • Other
    • CJASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Advertisement
American Society of Nephrology

Advanced Search

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • Subject Collections
    • JASN Podcasts
    • Archives
    • Saved Searches
    • ASN Meeting Abstracts
  • Authors
    • Submit a Manuscript
    • Author Resources
  • Editorial Team
  • Subscriptions
  • More
    • About JASN
    • Alerts
    • Advertising
    • Editorial Fellowship Program
    • Feedback
    • Reprints
    • Impact Factor
  • ASN Kidney News
  • Follow JASN on Twitter
  • Visit ASN on Facebook
  • Follow JASN on RSS
  • Community Forum
Chronic Kidney Disease
You have accessRestricted Access

Modified Glomerular Filtration Rate Estimating Equation for Chinese Patients with Chronic Kidney Disease

Ying-Chun Ma, Li Zuo, Jiang-Hua Chen, Qiong Luo, Xue-Qing Yu, Ying Li, Jin-Sheng Xu, Song-Min Huang, Li-Ning Wang, Wen Huang, Mei Wang, Guo-Bin Xu, Hai-Yan Wang and ; on behalf of the Chinese eGFR Investigation Collaboration
JASN October 2006, 17 (10) 2937-2944; DOI: https://doi.org/10.1681/ASN.2006040368
Ying-Chun Ma
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li Zuo
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jiang-Hua Chen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Qiong Luo
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xue-Qing Yu
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ying Li
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jin-Sheng Xu
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Song-Min Huang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Li-Ning Wang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wen Huang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mei Wang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Guo-Bin Xu
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hai-Yan Wang
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data Supps
  • Info & Metrics
  • View PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Bland-Altman plot showing the disagreement between estimated GFR (eGFR; including aGFR, c-aGFR1, and c-aGFR2) and reference GFR (rGFR). Solid line represents the regression line of difference between methods against average of methods, dashed lines represent 95% confidence intervals for the regression line, and dotted lines represent 95% limits of agreement. aGFR, eGFR (ml/min per 1.73 m2) by original abbreviated Modification of Diet in Renal Disease (MDRD) equation; c-aGFR1, eGFR (ml/min per 1.73 m2) by modified abbreviated MDRD equation by adding a racial factor for Chinese; c-aGFR2, eGFR (ml/min per 1.73 m2) by modified abbreviated MDRD equation based on the result of multiple linear regression from data of Chinese patients with chronic kidney disease (CKD). (A) Disagreement between aGFR and average of aGFR and rGFR. (B) Disagreement between c-aGFR1 and average of c-aGFR1 and rGFR. (C) Disagreement between c-aGFR2 and average of c-aGFR2 and rGFR.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Comparison of equations: Difference between eGFR and rGFR. The differences between equations 3 through 6 eGFR and rGFR were significantly less than those between equations 1 and 2 eGFR and rGFR in each CKD stage (P < 0.05 for all).

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Comparison of equations: Absolute difference between eGFR and rGFR. The absolute differences between equations 3 through 6 eGFR and rGFR were significantly less than those between equations 1 and 2 eGFR and rGFR in CKD stages 1 and 2 (P < 0.05 for all). The absolute differences of equations 3 through 6 were also less than those of equations 1 and 2 in CKD stage 3 but without statistical significance. The absolute differences of the six equations were similar in stages 4 and 5.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Comparison of equations: 15, 30, and 50% accuracy of equations in various stages of CKD. In CKD stages 1 and 2, equations 3 through 6 showed significant improvements in 15 and 30% accuracy compared with equations 1 and 2 (P < 0.05 for all); significant 15% accuracy were achieved comparing equations 3 and 5 with equations 1 and 2 in CKD stage 3 (P < 0.05 for both); some improvement was achieved comparing equations 4 and 6 with equations 1 and 2 in CKD stage 3 without statistical significance. In CKD stages 4 and 5, 15% accuracy improvements of equations 3 through 6 was gained without statistical significance. The 15 and 30% accuracy among equations 3 through 6 were not significantly different. The 50% accuracy of the six equations was not significantly different in each stage of CKD.

Tables

  • Figures
    • View popup
    Table 1.

    Basic characteristics of the patientsa

    Characteristic (n = 684)Mean ± SD (Median) or n (%)
    Female (n [%])332 (48.53)
    Age (yr)49.9 ± 15.8 (49.0)
    Height (cm)164.7 ± 8.3 (165.0)
    Weight (kg)64.5 ± 12.4 (63.0)
    BSA (m2)1.7 ± 0.18 (1.7)
    BMI (kg/m2)23.6 ± 3.6 (23.4)
    Plasma creatinine (mg/dl)2.0 ± 1.8 (1.3)
    Plasma urea nitrogen (mg/dl)28.4 ± 19.9 (21.5)
    Plasma albumin (g/dl)3.99 ± 0.6 (4.1)
    rGFR (ml/min per 1.73 m2)55.1 ± 35.1 (49.9)
    Causes of CKD
        primary or secondary glomerular        disease264 (38.6)
        hypertension102 (14.9)
        obstructive kidney disease92 (13.5)
        renovascular disease89 (13.0)
        chronic tubulointerstitial disease44 (6.4)
        diabetic nephropathy37 (5.4)
        polycystic kidney disease18 (2.6)
        other causes or causes unknown38 (5.6)
    CKD stages
        1125 (18.3)
        2161 (23.6)
        3197 (28.8)
        4101 (14.7)
        5100 (14.6)
    • ↵a BMI, body mass index; BSA, body surface area; CKD, chronic kidney disease; rGFR, reference GFR.

    • View popup
    Table 2.

    Overall performance of eGFR equations compared with rGFR: Difference, absolute difference, bias, precision, and accuracya

    ParameterEquation 1Equation 2Equation 3Equation 4Equation 5Equation 6
    Intercept (95% CI)6.45 (3.78 to 9.84)6.58 (3.75 to 9.39)7.76 (4.54 to 10.98)8.06 (4.61 to 11.53)8.55 (5.45 to 11.64)9.54 (6.26 to 12.81)
    Slope (95% CI)0.69 (0.65 to 0.74)0.68 (0.64 to 0.72)0.84b (0.78 to 0.88)0.83b (0.78 to 0.88)0.82b (0.77 to 0.87)0.81b (0.76 to 0.85)
    R0.910.900.910.900.920.91
    R20.840.810.840.810.840.82
    Median of difference (ml/min per 1.73 m2; 25%, 75% percentile)−7.4 (−19.5, −1.3)−7.8 (−21.5, −1.8)−0.3b (−8.5, 6.3)−0.9b (−9.6, 7.4)−0.8b (−9.7, 7.4)−0.8b (−9.7, 7.4)
    Median of absolute difference (ml/min per 1.73 m2; 25%, 75% percentile)8.7 (3.7, 19.5)9.4 (4.2, 21.5)7.3b (2.7, 15.1)8.8b (3.3, 15.2)7.1b (2.7, 15.6)7.9b (3.3, 15.6)
    Bias (arbitrary units)2133.92175.0605.8543.0685.6677.2
    Precision (ml/min per 1.73 m2; %)57.660.75457.553.256.5
        15% accuracy32.630.050.4b48.7b47.4b46.9b
        30% accuracy70.466.176.177.8b79.6b79.6b
        50% accuracy95.293.993.992.293.593.0
    • ↵a The estimated GFR (eGFR) that resulted from these six equations all were significantly correlated with rGFR. Linear regressions were made using eGFR against rGFR. The six intercepts were much similar, but the slopes of equations 3 through 6 were significantly closer to the identical line compared with the slopes of equations 1 and 2. CI, confidence interval.

    • ↵b P < 0.05 compared with equations 1 and 2.

    • View popup
    Table 3.

    Percentages of CKD stage misclassification by original and modified equations in CKD stages 1 and 2a

    Classification Based on:CKD Stage Based on rGFR
    12
    Equation 1
        CKD stage 128.60
        CKD stage 271.440
        CKD stage 3060
    Equation 2
        CKD stage 126.21.7
        CKD stage 273.831.7
        CKD stage 3066.6
    Equation 3
        CKD stage 152.48.3
        CKD stage 247.670
        CKD stage 3021.7
    Equation 4
        CKD stage 154.813.3
        CKD stage 245.268.3
        CKD stage 3018.4
    Equation 5
        CKD stage 145.210
        CKD stage 254.868.3
        CKD stage 3021.7
    Equation 6
        CKD stage 147.611.7
        CKD stage 252.468.3
        CKD stage 3020
    • ↵a In CKD stage 1, equations 3 through 6 showed lower percentages of misclassification than equations 1 and 2 (P < 0.05 for equations 3 and 4; NS for equations 5 and 6). In CKD stage 2, equations 3 through 6 achieved lower percentages of misclassification than equations 1 and 2 (P < 0.05 for all).

PreviousNext
Back to top

In this issue

Journal of the American Society of Nephrology: 17 (10)
Journal of the American Society of Nephrology
Vol. 17, Issue 10
October 2006
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
View Selected Citations (0)
Print
Download PDF
Sign up for Alerts
Email Article
Thank you for your help in sharing the high-quality science in JASN.
Enter multiple addresses on separate lines or separate them with commas.
Modified Glomerular Filtration Rate Estimating Equation for Chinese Patients with Chronic Kidney Disease
(Your Name) has sent you a message from American Society of Nephrology
(Your Name) thought you would like to see the American Society of Nephrology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Modified Glomerular Filtration Rate Estimating Equation for Chinese Patients with Chronic Kidney Disease
Ying-Chun Ma, Li Zuo, Jiang-Hua Chen, Qiong Luo, Xue-Qing Yu, Ying Li, Jin-Sheng Xu, Song-Min Huang, Li-Ning Wang, Wen Huang, Mei Wang, Guo-Bin Xu, Hai-Yan Wang
JASN Oct 2006, 17 (10) 2937-2944; DOI: 10.1681/ASN.2006040368

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Modified Glomerular Filtration Rate Estimating Equation for Chinese Patients with Chronic Kidney Disease
Ying-Chun Ma, Li Zuo, Jiang-Hua Chen, Qiong Luo, Xue-Qing Yu, Ying Li, Jin-Sheng Xu, Song-Min Huang, Li-Ning Wang, Wen Huang, Mei Wang, Guo-Bin Xu, Hai-Yan Wang
JASN Oct 2006, 17 (10) 2937-2944; DOI: 10.1681/ASN.2006040368
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusion
    • Appendix
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data Supps
  • Info & Metrics
  • View PDF

More in this TOC Section

  • Estimated Glomerular Filtration Rate and Urinary Albumin Excretion Are Independently Associated with Greater Arterial Stiffness: The Hoorn Study
  • Myocardial Ultrasound Tissue Characterization in Patients with Chronic Renal Failure
  • Progression Risk, Urinary Protein Excretion, and Treatment Effects of Angiotensin-Converting Enzyme Inhibitors in Nondiabetic Kidney Disease
Show more Chronic Kidney Disease

Cited By...

  • Efficacy, safety and response predictors of adjuvant astragalus for diabetic kidney disease (READY): study protocol of an add-on, assessor-blind, parallel, pragmatic randomised controlled trial
  • Long-Term Exposure to Ambient PM2.5 and Increased Risk of CKD Prevalence in China
  • Observations from a teaching hospital in Ireland: changing from MDRD to CKD-EPI eGFR in routine practice
  • Risk of chronic kidney disease defined by decreased estimated glomerular filtration rate in individuals with different prediabetic phenotypes: results from a prospective cohort study in China
  • Effects of dynamic change in fetuin-A levels from the first to the second trimester on insulin resistance and gestational diabetes mellitus: a nested case-control study
  • Burden of CKD and Cardiovascular Disease on Life Expectancy and Health Service Utilization: a Cohort Study of Hong Kong Chinese Hypertensive Patients
  • Current status and progression of lower urinary tract symptoms in Chinese male patients: the protocol and rationale for a nationwide, hospital-based, prospective, multicentre study
  • A retrospective cohort study of oral anticoagulant treatment in patients with acute coronary syndrome and atrial fibrillation
  • Diabetes-Related Complications and Mortality in Patients With Young-Onset Latent Autoimmune Diabetes: A 14-Year Analysis of the Prospective Hong Kong Diabetes Register
  • Association of Blood Pressure Trajectories in Early Life with Subclinical Renal Damage in Middle Age
  • Urinary epidermal growth factor predicts renal prognosis in antineutrophil cytoplasmic antibody-associated vasculitis
  • Relation of serum uric acid to asymptomatic proximal extracranial artery stenosis in a middle-aged Chinese population: a community-based cross-sectional study
  • Perturbations in mitochondrial dynamics by p66Shc lead to renal tubular oxidative injury in human diabetic nephropathy
  • Associations of Plasma Amino Acid and Acylcarnitine Profiles with Incident Reduced Glomerular Filtration Rate
  • Chinese observational prospective study of ageing population with chronic kidney disease (C-OPTION): a study protocol
  • Thrombocytopenia as a Preoperative Risk Assessment Tool in Patients With Rheumatic Heart Disease Undergoing Valve Replacement Surgery
  • Circulating Antibodies against Thrombospondin Type-I Domain-Containing 7A in Chinese Patients with Idiopathic Membranous Nephropathy
  • Association of high-sensitivity cardiac troponin T with mortality and cardiovascular events in a community-based prospective study in Beijing
  • Performance of AHEAD Score in an Asian Cohort of Acute Heart Failure With Either Preserved or Reduced Left Ventricular Systolic Function
  • Urine Proteome Specific for Eye Damage Can Predict Kidney Damage in Patients With Type 2 Diabetes: A Case-Control and a 5.3-Year Prospective Cohort Study
  • Clinical Significance of IgM and C3 Glomerular Deposition in Primary Focal Segmental Glomerulosclerosis
  • Rare Variants in the Complement Factor H-Related Protein 5 Gene Contribute to Genetic Susceptibility to IgA Nephropathy
  • Screening diabetic patients for non-alcoholic fatty liver disease with controlled attenuation parameter and liver stiffness measurements: a prospective cohort study
  • Nickel exposure and prevalent albuminuria and {beta}2-microglobulinuria: evidence from a population-based study
  • Hyponatremia and Worsening Sodium Levels Are Associated With Long-Term Outcome in Patients Hospitalized for Acute Heart Failure
  • Tissue transcriptome-driven identification of epidermal growth factor as a chronic kidney disease biomarker
  • Noninvasive Renal Denervation for Resistant Hypertension Using High-Intensity Focused Ultrasound
  • Glycated haemoglobin A1c is associated with low-grade albuminuria in Chinese adults
  • High Prevalence of Isolated Nocturnal Hypertension in Chinese Patients With Chronic Kidney Disease
  • Clinicopathologic Characteristics and Outcomes of Renal Thrombotic Microangiopathy in Anti-Neutrophil Cytoplasmic Autoantibody-Associated Glomerulonephritis
  • Variants in Complement Factor H and Complement Factor H-Related Protein Genes, CFHR3 and CFHR1, Affect Complement Activation in IgA Nephropathy
  • Associations between pentraxin 3 and severity of coronary artery disease
  • Risk Factors for Mortality in Chinese Patients on Continuous Ambulatory Peritoneal Dialysis
  • Prevalence and risk factors associated with prehypertension in Shunde District, southern China
  • Short-Term Rosuvastatin Therapy for Prevention of Contrast-Induced Acute Kidney Injury in Patients With Diabetes and Chronic Kidney Disease
  • Prospective Study on the Incidences of Cardiovascular-Renal Complications in Chinese Patients With Young-Onset Type 1 and Type 2 Diabetes
  • Blood Pressure in Relation to Interactions Between Sodium Dietary Intake and Renal Handling
  • A Multicenter, Randomized, Double-Blind, Parallel-Group, Placebo-Controlled Study of the Effects of Qili Qiangxin Capsules in Patients With Chronic Heart Failure
  • GFR Estimating Equations: Getting Closer to the Truth?
  • Enhancers and attenuators of risk associations of chronic hepatitis B virus infection with hepatocellular carcinoma in type 2 diabetes
  • Renal Protection of Losartan 50 mg in Normotensive Chinese Patients With Nondiabetic Chronic Kidney Disease
  • Association of Reduced Renal Function with Hepatitis B Virus Infection and Elevated Alanine Aminotransferase
  • Estimating Glomerular Filtration Rates by Use of Both Cystatin C and Standardized Serum Creatinine Avoids Ethnicity Coefficients in Asian Patients with Chronic Kidney Disease
  • CPVL/CHN2 Genetic Variant Is Associated With Diabetic Retinopathy in Chinese Type 2 Diabetic Patients
  • Pathologic Predictors of Renal Outcome and Therapeutic Efficacy in IgA Nephropathy: Validation of the Oxford Classification
  • Asymmetric Dimethylarginine and Clinical Outcomes in Chronic Kidney Disease
  • Cancer-Specific Mortality in Chronic Kidney Disease: Longitudinal Follow-Up of a Large Cohort
  • Prognostic impact of body mass index in patients undergoing coronary artery bypass surgery
  • The Clinician and Estimation of Glomerular Filtration Rate by Creatinine-based Formulas: Current Limitations and Quo Vadis
  • Low HDL Cholesterol, Metformin Use, and Cancer Risk in Type 2 Diabetes: The Hong Kong Diabetes Registry
  • Prevalence of CKD in Northeastern Italy: Results of the INCIPE Study and Comparison with NHANES
  • Associations of Hyperglycemia and Insulin Usage With the Risk of Cancer in Type 2 Diabetes: The Hong Kong Diabetes Registry
  • Wave Reflection and Arterial Stiffness in the Prediction of 15-Year All-Cause and Cardiovascular Mortalities: A Community-Based Study
  • Low Dietary Sodium Intake Increases the Death Risk in Peritoneal Dialysis
  • Measured GFR as a Confirmatory Test for Estimated GFR
  • Low LDL Cholesterol, Albuminuria, and Statins for the Risk of Cancer in Type 2 Diabetes: The Hong Kong Diabetes Registry
  • Serum Uric Acid Is Independently Associated with Metabolic Syndrome in Subjects with and without a Low Estimated Glomerular Filtration Rate
  • Disease chronicity and activity predict subclinical left ventricular systolic dysfunction in patients with systemic lupus erythematosus
  • Effect of interactions between C peptide levels and insulin treatment on clinical outcomes among patients with type 2 diabetes mellitus
  • IS FREQUENCY OF PATIENT-PHYSICIAN CLINIC CONTACT IMPORTANT IN PERITONEAL DIALYSIS PATIENTS?
  • Additive Interaction of Hyperglycemia and Albuminuria on Risk of Ischemic Stroke in Type 2 Diabetes: Hong Kong Diabetes Registry
  • Metabolic Syndrome Predicts New Onset of Chronic Kidney Disease in 5,829 Patients With Type 2 Diabetes: A 5-year prospective analysis of the Hong Kong Diabetes Registry
  • Natriuretic Peptides in Chronic Kidney Disease
  • Aldose Reductase Genotypes and Cardiorenal Complications: An 8-year prospective analysis of 1,074 type 2 diabetic patients
  • Chronic Kidney Disease Prevalence Estimates among Racial/Ethnic Groups: The Multi-Ethnic Study of Atherosclerosis
  • Screening for CKD with eGFR: Doubts and Dangers
  • Independent associations between low-density lipoprotein cholesterol and cancer among patients with type 2 diabetes mellitus
  • Predicting values of lipids and white blood cell count for all-site cancer in type 2 diabetes
  • Erectile Dysfunction Predicts Coronary Heart Disease in Type 2 Diabetes
  • Reference intervals of common serum analytes of Hong Kong Chinese
  • Chronic Kidney Disease The Promise and the Perils
  • Evaluation of the Modification of Diet in Renal Disease Study Equation in a Large Diverse Population
  • Carotid Intima Media Thickness Predicts Cardiovascular Diseases in Chinese Predialysis Patients with Chronic Kidney Disease
  • The Usefulness of the International Diabetes Federation and the National Cholesterol Education Program's Adult Treatment Panel III Definitions of the Metabolic Syndrome in Predicting Coronary Heart Disease in Subjects With Type 2 Diabetes
  • Google Scholar

Similar Articles

Related Articles

  • Correction
  • PubMed
  • Google Scholar

Articles

  • Current Issue
  • Early Access
  • Subject Collections
  • Article Archive
  • ASN Annual Meeting Abstracts

Information for Authors

  • Submit a Manuscript
  • Author Resources
  • Editorial Fellowship Program
  • ASN Journal Policies
  • Reuse/Reprint Policy

About

  • JASN
  • ASN
  • ASN Journals
  • ASN Kidney News

Journal Information

  • About JASN
  • JASN Email Alerts
  • JASN Key Impact Information
  • JASN Podcasts
  • JASN RSS Feeds
  • Editorial Board

More Information

  • Advertise
  • ASN Podcasts
  • ASN Publications
  • Become an ASN Member
  • Feedback
  • Follow on Twitter
  • Password/Email Address Changes
  • Subscribe

© 2021 American Society of Nephrology

Print ISSN - 1046-6673 Online ISSN - 1533-3450

Powered by HighWire