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

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A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection. / Mocroft, A; Nielsen, Lene Ryom; Reiss, P; Furrer, H; D'Arminio Monforte, A; Gatell, J; de Wit, S; Beniowski, M; Lundgren, J D; Kirk, O; EuroSIDA in EuroCoord.

I: HIV Medicine, Bind 15, Nr. 3, 03.2014, s. 144-152.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Mocroft, A, Nielsen, LR, Reiss, P, Furrer, H, D'Arminio Monforte, A, Gatell, J, de Wit, S, Beniowski, M, Lundgren, JD, Kirk, O & 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. 144-152. https://doi.org/10.1111/hiv.12095

APA

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., & 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), 144-152. https://doi.org/10.1111/hiv.12095

Vancouver

Mocroft A, Nielsen LR, Reiss P, Furrer H, D'Arminio Monforte A, Gatell J o.a. A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection. HIV Medicine. 2014 mar;15(3):144-152. https://doi.org/10.1111/hiv.12095

Author

Mocroft, A ; Nielsen, Lene Ryom ; Reiss, P ; Furrer, H ; D'Arminio Monforte, A ; Gatell, J ; de Wit, S ; Beniowski, M ; Lundgren, J D ; Kirk, O ; EuroSIDA in EuroCoord. / A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection. I: HIV Medicine. 2014 ; Bind 15, Nr. 3. s. 144-152.

Bibtex

@article{7d40cd8e508946feb410462e81c6a980,
title = "A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection",
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, {J D} and O Kirk and {EuroSIDA in EuroCoord}",
note = "{\textcopyright} 2013 British HIV Association.",
year = "2014",
month = mar,
doi = "10.1111/hiv.12095",
language = "English",
volume = "15",
pages = "144--152",
journal = "HIV Medicine",
issn = "1464-2662",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - A comparison of estimated glomerular filtration rates using Cockcroft-Gault and the Chronic Kidney Disease Epidemiology Collaboration estimating equations in HIV infection

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, J D

AU - Kirk, O

AU - EuroSIDA in EuroCoord

N1 - © 2013 British HIV Association.

PY - 2014/3

Y1 - 2014/3

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

VL - 15

SP - 144

EP - 152

JO - HIV Medicine

JF - HIV Medicine

SN - 1464-2662

IS - 3

ER -

ID: 105745729