A model for predicting nephrotoxicity in patients treated with aminoglycosides

C. L. Sawyers, Richard D Moore, S. A. Lerner, C. R. Smith

Research output: Contribution to journalArticle

Abstract

We have previously identified risk factors for nephrotoxicity in 204 patients receiving aminoglycosides. We added data on an additional 134 patients from the University of Chicago who were treated for longer periods (13.1 ± 9.4 days) to determine if duration of therapy was also a risk factor. In the combined populations, nephrotoxicity developed in 59 (17.5%) of 338 patients, and duration of therapy was the factor most strongly associated with nephrotoxicity (P <.0001). A new predictive model was developed that was then tested prospectively on 175 consecutive medical and surgical patients who had plasma levels of aminoglycoside measured. The new model accurately identified 14 of 15 patients with nephrotoxicity (sensitivity = 93%) and 106 of 160 without nephrotoxicity (specificity = 66%). A bedside scoring system accurately identified high-risk and low-risk patients. We believe these data add to the understanding of the clinical correlates of aminoglycoside nephrotoxicity and aid in the identification of high-risk patients.

Original languageEnglish (US)
Pages (from-to)1062-1068
Number of pages7
JournalJournal of Infectious Diseases
Volume153
Issue number6
StatePublished - 1986

Fingerprint

Aminoglycosides
Therapeutics
Population

ASJC Scopus subject areas

  • Immunology
  • Public Health, Environmental and Occupational Health

Cite this

A model for predicting nephrotoxicity in patients treated with aminoglycosides. / Sawyers, C. L.; Moore, Richard D; Lerner, S. A.; Smith, C. R.

In: Journal of Infectious Diseases, Vol. 153, No. 6, 1986, p. 1062-1068.

Research output: Contribution to journalArticle

Sawyers, C. L. ; Moore, Richard D ; Lerner, S. A. ; Smith, C. R. / A model for predicting nephrotoxicity in patients treated with aminoglycosides. In: Journal of Infectious Diseases. 1986 ; Vol. 153, No. 6. pp. 1062-1068.
@article{9058257542154ffea15e58caa6ee85ec,
title = "A model for predicting nephrotoxicity in patients treated with aminoglycosides",
abstract = "We have previously identified risk factors for nephrotoxicity in 204 patients receiving aminoglycosides. We added data on an additional 134 patients from the University of Chicago who were treated for longer periods (13.1 ± 9.4 days) to determine if duration of therapy was also a risk factor. In the combined populations, nephrotoxicity developed in 59 (17.5{\%}) of 338 patients, and duration of therapy was the factor most strongly associated with nephrotoxicity (P <.0001). A new predictive model was developed that was then tested prospectively on 175 consecutive medical and surgical patients who had plasma levels of aminoglycoside measured. The new model accurately identified 14 of 15 patients with nephrotoxicity (sensitivity = 93{\%}) and 106 of 160 without nephrotoxicity (specificity = 66{\%}). A bedside scoring system accurately identified high-risk and low-risk patients. We believe these data add to the understanding of the clinical correlates of aminoglycoside nephrotoxicity and aid in the identification of high-risk patients.",
author = "Sawyers, {C. L.} and Moore, {Richard D} and Lerner, {S. A.} and Smith, {C. R.}",
year = "1986",
language = "English (US)",
volume = "153",
pages = "1062--1068",
journal = "Journal of Infectious Diseases",
issn = "0022-1899",
publisher = "Oxford University Press",
number = "6",

}

TY - JOUR

T1 - A model for predicting nephrotoxicity in patients treated with aminoglycosides

AU - Sawyers, C. L.

AU - Moore, Richard D

AU - Lerner, S. A.

AU - Smith, C. R.

PY - 1986

Y1 - 1986

N2 - We have previously identified risk factors for nephrotoxicity in 204 patients receiving aminoglycosides. We added data on an additional 134 patients from the University of Chicago who were treated for longer periods (13.1 ± 9.4 days) to determine if duration of therapy was also a risk factor. In the combined populations, nephrotoxicity developed in 59 (17.5%) of 338 patients, and duration of therapy was the factor most strongly associated with nephrotoxicity (P <.0001). A new predictive model was developed that was then tested prospectively on 175 consecutive medical and surgical patients who had plasma levels of aminoglycoside measured. The new model accurately identified 14 of 15 patients with nephrotoxicity (sensitivity = 93%) and 106 of 160 without nephrotoxicity (specificity = 66%). A bedside scoring system accurately identified high-risk and low-risk patients. We believe these data add to the understanding of the clinical correlates of aminoglycoside nephrotoxicity and aid in the identification of high-risk patients.

AB - We have previously identified risk factors for nephrotoxicity in 204 patients receiving aminoglycosides. We added data on an additional 134 patients from the University of Chicago who were treated for longer periods (13.1 ± 9.4 days) to determine if duration of therapy was also a risk factor. In the combined populations, nephrotoxicity developed in 59 (17.5%) of 338 patients, and duration of therapy was the factor most strongly associated with nephrotoxicity (P <.0001). A new predictive model was developed that was then tested prospectively on 175 consecutive medical and surgical patients who had plasma levels of aminoglycoside measured. The new model accurately identified 14 of 15 patients with nephrotoxicity (sensitivity = 93%) and 106 of 160 without nephrotoxicity (specificity = 66%). A bedside scoring system accurately identified high-risk and low-risk patients. We believe these data add to the understanding of the clinical correlates of aminoglycoside nephrotoxicity and aid in the identification of high-risk patients.

UR - http://www.scopus.com/inward/record.url?scp=0022512561&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022512561&partnerID=8YFLogxK

M3 - Article

C2 - 3701117

AN - SCOPUS:0022512561

VL - 153

SP - 1062

EP - 1068

JO - Journal of Infectious Diseases

JF - Journal of Infectious Diseases

SN - 0022-1899

IS - 6

ER -