A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection

A Mocroft; lene ryom  nielsen; P Reiss; H Furrer; A D'Arminio Monforte; J Gatell; S de Wit; M Beniowski; Jens Dilling Lundgren; O Kirk; for EuroSIDA in EuroCOORD

doi:10.1111/hiv.12095

A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection

A Mocroft, lene ryom nielsen, P Reiss, H Furrer, A D'Arminio Monforte, J Gatell, S de Wit, M Beniowski, Jens Dilling Lundgren, O Kirk, for EuroSIDA in EuroCOORD

25 Citationer (Scopus)

Abstract

The aim of this study was to determine whether the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)- or Cockcroft-Gault (CG)-based estimated glomerular filtration rates (eGFRs) performs better in the cohort setting for predicting moderate/advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD).

Originalsprog	Engelsk
Tidsskrift	HIV Medicine
Vol/bind	15
Udgave nummer	3
Sider (fra-til)	144-52
ISSN	1464-2662
DOI	https://doi.org/10.1111/hiv.12095
Status	Udgivet - 2014

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10.1111/hiv.12095

Citationsformater

Mocroft, A., nielsen, L. R., Reiss, P., Furrer, H., D'Arminio Monforte, A., Gatell, J., de Wit, S., Beniowski, M., Lundgren, J. D., Kirk, O., & for EuroSIDA in EuroCOORD (2014). A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection. HIV Medicine, 15(3), 144-52. https://doi.org/10.1111/hiv.12095

Mocroft, A, nielsen, LR, Reiss, P, Furrer, H, D'Arminio Monforte, A, Gatell, J, de Wit, S, Beniowski, M, Lundgren, JD , Kirk, O & for EuroSIDA in EuroCOORD 2014, 'A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection', HIV Medicine, bind 15, nr. 3, s. 144-52. https://doi.org/10.1111/hiv.12095

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abstract = "The aim of this study was to determine whether the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)- or Cockcroft-Gault (CG)-based estimated glomerular filtration rates (eGFRs) performs better in the cohort setting for predicting moderate/advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD).",

author = "A Mocroft and nielsen, {lene ryom} and P Reiss and H Furrer and {D'Arminio Monforte}, A and J Gatell and {de Wit}, S and M Beniowski and Lundgren, {Jens Dilling} and O Kirk and {for EuroSIDA in EuroCOORD}",

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AU - Mocroft, A

AU - nielsen, lene ryom

AU - Reiss, P

AU - Furrer, H

AU - D'Arminio Monforte, A

AU - Gatell, J

AU - de Wit, S

AU - Beniowski, M

AU - Lundgren, Jens Dilling

AU - Kirk, O

AU - for EuroSIDA in EuroCOORD

PY - 2014

Y1 - 2014

N2 - The aim of this study was to determine whether the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)- or Cockcroft-Gault (CG)-based estimated glomerular filtration rates (eGFRs) performs better in the cohort setting for predicting moderate/advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD).

AB - The aim of this study was to determine whether the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI)- or Cockcroft-Gault (CG)-based estimated glomerular filtration rates (eGFRs) performs better in the cohort setting for predicting moderate/advanced chronic kidney disease (CKD) or end-stage renal disease (ESRD).

U2 - 10.1111/hiv.12095

DO - 10.1111/hiv.12095

M3 - Journal article

C2 - 24118916

SN - 1464-2662

VL - 15

SP - 144

EP - 152

JO - HIV Medicine

JF - HIV Medicine

IS - 3

ER -

A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection

Abstract

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