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Prediction of mortality using quantification of renal function in acute heart failure

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Prediction of mortality using quantification of renal function in acute heart failure. / Weidmann, Zoraida Moreno; Breidthardt, Tobias; Twerenbold, Raphael; Züsli, Christina; Nowak, Albina; Von Eckardstein, Arnold; Erne, Paul; Rentsch, Katharina; De Oliveira, Mucio T.; Gualandro, Danielle; Maeder, Micha T.; Gimenez, Maria Rubini; Pershyna, Kateryna; Stallone, Fabio; Haas, Laurent; Jaeger, Cedric; Wildi, Karin; Puelacher, Christian; Honegger, Ursina; Wagener, Max; Wittmer, Severin; Schumacher, Carmela; Krivoshei, Lian; Hillinger, Petra; Osswald, Stefan; Mueller, Christian.

In: INT J CARDIOL, Vol. 201, 10.10.2015, p. 650-657.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Weidmann, ZM, Breidthardt, T, Twerenbold, R, Züsli, C, Nowak, A, Von Eckardstein, A, Erne, P, Rentsch, K, De Oliveira, MT, Gualandro, D, Maeder, MT, Gimenez, MR, Pershyna, K, Stallone, F, Haas, L, Jaeger, C, Wildi, K, Puelacher, C, Honegger, U, Wagener, M, Wittmer, S, Schumacher, C, Krivoshei, L, Hillinger, P, Osswald, S & Mueller, C 2015, 'Prediction of mortality using quantification of renal function in acute heart failure', INT J CARDIOL, vol. 201, pp. 650-657. https://doi.org/10.1016/j.ijcard.2015.08.097

APA

Weidmann, Z. M., Breidthardt, T., Twerenbold, R., Züsli, C., Nowak, A., Von Eckardstein, A., Erne, P., Rentsch, K., De Oliveira, M. T., Gualandro, D., Maeder, M. T., Gimenez, M. R., Pershyna, K., Stallone, F., Haas, L., Jaeger, C., Wildi, K., Puelacher, C., Honegger, U., ... Mueller, C. (2015). Prediction of mortality using quantification of renal function in acute heart failure. INT J CARDIOL, 201, 650-657. https://doi.org/10.1016/j.ijcard.2015.08.097

Vancouver

Weidmann ZM, Breidthardt T, Twerenbold R, Züsli C, Nowak A, Von Eckardstein A et al. Prediction of mortality using quantification of renal function in acute heart failure. INT J CARDIOL. 2015 Oct 10;201:650-657. https://doi.org/10.1016/j.ijcard.2015.08.097

Bibtex

@article{d237a582f4b5484ebf2228836ef61185,
title = "Prediction of mortality using quantification of renal function in acute heart failure",
abstract = "Background Renal function, as quantified by the estimated glomerular filtration rate (eGFR), is a predictor of death in acute heart failure (AHF). It is unknown whether one of the clinically-available serum creatinine-based formulas to calculate eGFR is superior to the others for predicting mortality. Methods and results We quantified renal function using five different formulas (Cockroft-Gault, MDRD-4, MDRD-6, CKD-EPI in patients < 70 years, and BIS-1 in patients 70 years) in 1104 unselected AHF patients presenting to the emergency department and enrolled in a multicenter study. Two independent cardiologists adjudicated the diagnosis of AHF. The primary endpoint was the accuracy of the five eGFR equations to predict death as quantified by the time-dependent area under the receiver-operating characteristics curve (AUC). The secondary endpoint was the accuracy to predict all-cause readmissions and readmissions due to AHF. In a median follow-up of 374 days (IQR: 221 to 687 days), 445 patients (40.3%) died. eGFR as calculated by all equations was an independent predictor of mortality. The Cockcroft-Gault formula showed the highest prognostic accuracy (AUC 0.70 versus 0.65 for MDRD-4, 0.55 for MDRD-6, and 0.67 for the combined formula CKD-EPI/BIS-1, p < 0.05). These findings were confirmed in patients with varying degrees of renal function and in three vulnerable subgroups: women, patients with severe left ventricular dysfunction, and the elderly. The prognostic accuracy for readmission was poor for all equations, with an AUC around 0.5. Conclusions Calculating eGFR using the Cockcroft-Gault formula assesses the risk of mortality in patients with AHF more accurately than other commonly used formulas.",
keywords = "Acute heart failure, Mortality, Renal function",
author = "Weidmann, {Zoraida Moreno} and Tobias Breidthardt and Raphael Twerenbold and Christina Z{\"u}sli and Albina Nowak and {Von Eckardstein}, Arnold and Paul Erne and Katharina Rentsch and {De Oliveira}, {Mucio T.} and Danielle Gualandro and Maeder, {Micha T.} and Gimenez, {Maria Rubini} and Kateryna Pershyna and Fabio Stallone and Laurent Haas and Cedric Jaeger and Karin Wildi and Christian Puelacher and Ursina Honegger and Max Wagener and Severin Wittmer and Carmela Schumacher and Lian Krivoshei and Petra Hillinger and Stefan Osswald and Christian Mueller",
note = "Publisher Copyright: {\textcopyright} 2015 Elsevier Ireland Ltd. All rights reserved.",
year = "2015",
month = oct,
day = "10",
doi = "10.1016/j.ijcard.2015.08.097",
language = "English",
volume = "201",
pages = "650--657",
journal = "INT J CARDIOL",
issn = "0167-5273",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - Prediction of mortality using quantification of renal function in acute heart failure

AU - Weidmann, Zoraida Moreno

AU - Breidthardt, Tobias

AU - Twerenbold, Raphael

AU - Züsli, Christina

AU - Nowak, Albina

AU - Von Eckardstein, Arnold

AU - Erne, Paul

AU - Rentsch, Katharina

AU - De Oliveira, Mucio T.

AU - Gualandro, Danielle

AU - Maeder, Micha T.

AU - Gimenez, Maria Rubini

AU - Pershyna, Kateryna

AU - Stallone, Fabio

AU - Haas, Laurent

AU - Jaeger, Cedric

AU - Wildi, Karin

AU - Puelacher, Christian

AU - Honegger, Ursina

AU - Wagener, Max

AU - Wittmer, Severin

AU - Schumacher, Carmela

AU - Krivoshei, Lian

AU - Hillinger, Petra

AU - Osswald, Stefan

AU - Mueller, Christian

N1 - Publisher Copyright: © 2015 Elsevier Ireland Ltd. All rights reserved.

PY - 2015/10/10

Y1 - 2015/10/10

N2 - Background Renal function, as quantified by the estimated glomerular filtration rate (eGFR), is a predictor of death in acute heart failure (AHF). It is unknown whether one of the clinically-available serum creatinine-based formulas to calculate eGFR is superior to the others for predicting mortality. Methods and results We quantified renal function using five different formulas (Cockroft-Gault, MDRD-4, MDRD-6, CKD-EPI in patients < 70 years, and BIS-1 in patients 70 years) in 1104 unselected AHF patients presenting to the emergency department and enrolled in a multicenter study. Two independent cardiologists adjudicated the diagnosis of AHF. The primary endpoint was the accuracy of the five eGFR equations to predict death as quantified by the time-dependent area under the receiver-operating characteristics curve (AUC). The secondary endpoint was the accuracy to predict all-cause readmissions and readmissions due to AHF. In a median follow-up of 374 days (IQR: 221 to 687 days), 445 patients (40.3%) died. eGFR as calculated by all equations was an independent predictor of mortality. The Cockcroft-Gault formula showed the highest prognostic accuracy (AUC 0.70 versus 0.65 for MDRD-4, 0.55 for MDRD-6, and 0.67 for the combined formula CKD-EPI/BIS-1, p < 0.05). These findings were confirmed in patients with varying degrees of renal function and in three vulnerable subgroups: women, patients with severe left ventricular dysfunction, and the elderly. The prognostic accuracy for readmission was poor for all equations, with an AUC around 0.5. Conclusions Calculating eGFR using the Cockcroft-Gault formula assesses the risk of mortality in patients with AHF more accurately than other commonly used formulas.

AB - Background Renal function, as quantified by the estimated glomerular filtration rate (eGFR), is a predictor of death in acute heart failure (AHF). It is unknown whether one of the clinically-available serum creatinine-based formulas to calculate eGFR is superior to the others for predicting mortality. Methods and results We quantified renal function using five different formulas (Cockroft-Gault, MDRD-4, MDRD-6, CKD-EPI in patients < 70 years, and BIS-1 in patients 70 years) in 1104 unselected AHF patients presenting to the emergency department and enrolled in a multicenter study. Two independent cardiologists adjudicated the diagnosis of AHF. The primary endpoint was the accuracy of the five eGFR equations to predict death as quantified by the time-dependent area under the receiver-operating characteristics curve (AUC). The secondary endpoint was the accuracy to predict all-cause readmissions and readmissions due to AHF. In a median follow-up of 374 days (IQR: 221 to 687 days), 445 patients (40.3%) died. eGFR as calculated by all equations was an independent predictor of mortality. The Cockcroft-Gault formula showed the highest prognostic accuracy (AUC 0.70 versus 0.65 for MDRD-4, 0.55 for MDRD-6, and 0.67 for the combined formula CKD-EPI/BIS-1, p < 0.05). These findings were confirmed in patients with varying degrees of renal function and in three vulnerable subgroups: women, patients with severe left ventricular dysfunction, and the elderly. The prognostic accuracy for readmission was poor for all equations, with an AUC around 0.5. Conclusions Calculating eGFR using the Cockcroft-Gault formula assesses the risk of mortality in patients with AHF more accurately than other commonly used formulas.

KW - Acute heart failure

KW - Mortality

KW - Renal function

UR - http://www.scopus.com/inward/record.url?scp=84943564004&partnerID=8YFLogxK

U2 - 10.1016/j.ijcard.2015.08.097

DO - 10.1016/j.ijcard.2015.08.097

M3 - SCORING: Journal article

C2 - 26355241

AN - SCOPUS:84943564004

VL - 201

SP - 650

EP - 657

JO - INT J CARDIOL

JF - INT J CARDIOL

SN - 0167-5273

ER -