Literature DB >> 27513312

Chronic Kidney Disease Classification in Systolic Blood Pressure Intervention Trial: Comparison Using Modification of Diet in Renal Disease and CKD-Epidemiology Collaboration Definitions.

Michael V Rocco1, Arlene Chapman, Glenn M Chertow, Debbie Cohen, Jing Chen, Jeffrey A Cutler, Matthew J Diamond, Barry I Freedman, Amret Hawfield, Eric Judd, Anthony A Killeen, Kent Kirchner, Cora E Lewis, Nicholas M Pajewski, Barry M Wall, Jerry Yee.   

Abstract

BACKGROUND: Interventional trials have used either the Modification of Diet in Renal Disease (MDRD) or chronic kidney disease (CKD)-Epidemiology Collaboration (CKD-EPI) equation for determination of estimated glomerular filtration rate (eGFR) to define whether participants have stages 3-5 CKD. The equation used to calculate eGFR may influence the number and characteristics of participants designated as having CKD.
METHODS: We examined the classification of CKD at baseline using both equations in the Systolic Blood Pressure Intervention Trial (SPRINT). eGFR was calculated at baseline using fasting serum creatinine values from a central laboratory.
RESULTS: Among 9,308 participants with baseline CKD classification using the 4-variable MDRD equation specified in the SPRINT protocol, 681 (7.3%) participants were reclassified to a less advanced CKD stage (higher eGFR) and 346 (3.7%) were reclassified to a more advanced CKD stage (lower eGFR) when the CKD-EPI equation was used to calculate eGFR. For eGFRs <90 ml/min/1.73 m2, participants <75 years were more likely to be reclassified to a less advanced CKD stage; this reclassification was more likely to occur in non-blacks rather than blacks. Participants aged ≥75 years were more likely to be reclassified to a more advanced than a less advanced CKD stage, regardless of baseline CKD stage. Reclassification of baseline CKD status (eGFR <60 ml/min/1.73 m2) occurred in 3% of participants.
CONCLUSIONS: Use of the MDRD equation led to a higher percentage of participants being classified as having CKD stages 3-4. Younger and non-black participants were more likely to be reclassified as not having CKD using the CKD-EPI equation.
© 2016 S. Karger AG, Basel.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27513312      PMCID: PMC5096787          DOI: 10.1159/000448722

Source DB:  PubMed          Journal:  Am J Nephrol        ISSN: 0250-8095            Impact factor:   3.754


  15 in total

Review 1.  Estimating equations for glomerular filtration rate in the era of creatinine standardization: a systematic review.

Authors:  Amy Earley; Dana Miskulin; Edmund J Lamb; Andrew S Levey; Katrin Uhlig
Journal:  Ann Intern Med       Date:  2012-02-06       Impact factor: 25.391

2.  GFR estimation using the Cockcroft-Gault, MDRD study, and CKD-EPI equations in the elderly.

Authors:  Martin Flamant; Jean-Philippe Haymann; Emmanuelle Vidal-Petiot; Emmanuel Letavernier; Christine Clerici; Jean-Jacques Boffa; François Vrtovsnik
Journal:  Am J Kidney Dis       Date:  2012-08-30       Impact factor: 8.860

3.  The design and rationale of a multicenter clinical trial comparing two strategies for control of systolic blood pressure: the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Walter T Ambrosius; Kaycee M Sink; Capri G Foy; Dan R Berlowitz; Alfred K Cheung; William C Cushman; Lawrence J Fine; David C Goff; Karen C Johnson; Anthony A Killeen; Cora E Lewis; Suzanne Oparil; David M Reboussin; Michael V Rocco; Joni K Snyder; Jeff D Williamson; Jackson T Wright; Paul K Whelton
Journal:  Clin Trials       Date:  2014-06-05       Impact factor: 2.486

4.  A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group.

Authors:  A S Levey; J P Bosch; J B Lewis; T Greene; N Rogers; D Roth
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

5.  Accuracy of the MDRD (Modification of Diet in Renal Disease) study and CKD-EPI (CKD Epidemiology Collaboration) equations for estimation of GFR in the elderly.

Authors:  Hannah S Kilbride; Paul E Stevens; Gillian Eaglestone; Sarah Knight; Joanne L Carter; Michael P Delaney; Christopher K T Farmer; Jean Irving; Shelagh E O'Riordan; R Neil Dalton; Edmund J Lamb
Journal:  Am J Kidney Dis       Date:  2012-08-11       Impact factor: 8.860

6.  Serum β-trace protein and risk of mortality in incident hemodialysis patients.

Authors:  Tariq Shafi; Rulan S Parekh; Bernard G Jaar; Laura C Plantinga; Pooja C Oberai; John H Eckfeldt; Andrew S Levey; Neil R Powe; Josef Coresh
Journal:  Clin J Am Soc Nephrol       Date:  2012-06-28       Impact factor: 8.237

7.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

8.  Clinical risk implications of the CKD Epidemiology Collaboration (CKD-EPI) equation compared with the Modification of Diet in Renal Disease (MDRD) Study equation for estimated GFR.

Authors:  Kunihiro Matsushita; Marcello Tonelli; Anita Lloyd; Andrew S Levey; Josef Coresh; Brenda R Hemmelgarn
Journal:  Am J Kidney Dis       Date:  2012-05-04       Impact factor: 8.860

9.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

10.  Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate.

Authors:  Kunihiro Matsushita; Bakhtawar K Mahmoodi; Mark Woodward; Jonathan R Emberson; Tazeen H Jafar; Sun Ha Jee; Kevan R Polkinghorne; Anoop Shankar; David H Smith; Marcello Tonelli; David G Warnock; Chi-Pang Wen; Josef Coresh; Ron T Gansevoort; Brenda R Hemmelgarn; Andrew S Levey
Journal:  JAMA       Date:  2012-05-09       Impact factor: 56.272

View more
  7 in total

1.  PTH, FGF23, and Intensive Blood Pressure Lowering in Chronic Kidney Disease Participants in SPRINT.

Authors:  Charles Ginsberg; Timothy E Craven; Michel B Chonchol; Alfred K Cheung; Mark J Sarnak; Walter T Ambrosius; Anthony A Killeen; Kalani L Raphael; Udayan Y Bhatt; Jing Chen; Glenn M Chertow; Barry I Freedman; Suzanne Oparil; Vasilios Papademetriou; Barry M Wall; Clinton B Wright; Joachim H Ix; Michael G Shlipak
Journal:  Clin J Am Soc Nephrol       Date:  2018-11-13       Impact factor: 8.237

2.  End-Stage Renal Disease Outcomes among the Kaiser Permanente Southern California Creatinine Safety Program (Creatinine SureNet): Opportunities to Reflect and Improve.

Authors:  John J Sim; Michael Batech; Kim N Danforth; Mark P Rutkowski; Steven J Jacobsen; Michael H Kanter
Journal:  Perm J       Date:  2017

3.  Factors Associated With Failure to Achieve the Intensive Blood Pressure Target in the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Katherine M Wang; Margaret R Stedman; Glenn M Chertow; Tara I Chang
Journal:  Hypertension       Date:  2020-11-02       Impact factor: 10.190

4.  Distinct Dimensions of Kidney Health and Risk of Cardiovascular Disease, Heart Failure, and Mortality.

Authors:  Alexandra K Lee; Ronit Katz; Vasantha Jotwani; Pranav S Garimella; Walter T Ambrosius; Alfred K Cheung; Lisa H Gren; Javier A Neyra; Henry Punzi; Kalani L Raphael; Michael G Shlipak; Joachim H Ix
Journal:  Hypertension       Date:  2019-08-05       Impact factor: 10.190

5.  FGF23, Frailty, and Falls in SPRINT.

Authors:  Anna Jovanovich; Charles Ginsberg; Zhiying You; Ronit Katz; Walter T Ambrosius; Dan Berlowitz; Alfred K Cheung; Monique Cho; Alexandra K Lee; Henry Punzi; Shakaib Rehman; Christianne Roumie; Mark A Supiano; Clinton B Wright; Michael Shlipak; Joachim H Ix; Michel Chonchol
Journal:  J Am Geriatr Soc       Date:  2020-12-01       Impact factor: 5.562

Review 6.  Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rate.

Authors:  Ahmed Alaini; Deepak Malhotra; Helbert Rondon-Berrios; Christos P Argyropoulos; Zeid J Khitan; Dominic S C Raj; Mark Rohrscheib; Joseph I Shapiro; Antonios H Tzamaloukas
Journal:  World J Methodol       Date:  2017-09-26

7.  Comparison of the Modification of Diet in Renal Disease Study and Chronic Kidney Disease Epidemiology Collaboration Equations for Detection of Cardiovascular Risk: Tehran Lipid and Glucose Study.

Authors:  Pouria Mousapour; Maryam Barzin; Majid Valizadeh; Maryam Mahdavi; Fereidoun Azizi; Farhad Hosseinpanah
Journal:  Int J Endocrinol Metab       Date:  2020-11-22
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.