TITLE

Determining vancomycin clearance in an overweight and obese population

AUTHOR(S)
Leong, Julie V. B.; Boro, Maureen S.; Winter, Michael E.
PUB. DATE
April 2011
SOURCE
American Journal of Health-System Pharmacy;4/1/2011, Vol. 68 Issue 7, p599
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Purpose. Two methods of calculating vancomycin clearance were compared to determine the best body weight measure to use when dosing vancomycin for overweight and obese patients. Methods. Hospitalized veterans weighing more than 120% of their ideal body weight (IBW) with serum vancomycin concentrations (SVCs) drawn between January 1, 2003, and June 30, 2005, were eligible for study inclusion. Exclusion criteria included weight of more than 300% the IBW, unstable renal function, dialysis, uncertain vancomycin dosing or sampling times, and distribution-phase sampling. Data from January 1 through December 31, 2003 (phase 1) determined the best-fit weight for vancomycin clearance for the Leonard and Boro method. The bias and precision of the modified Leonard and Boro method using the best-fit weight for vancomycin clearance were then compared with those of the Rushing and Ambrose method for predicting SVCs from January 1, 2004, through June 30, 2005 (phase 2). Results. Forty-eight patients were included in phase 1, with 67 SVCs for analysis. During phase 1, adjusted body weight (ABW), using the Leonard and Boro method, was superior in predicting vancomycin clearance and the resultant SVCs. A total of 96 patients were included in phase 2 of the study, with 160 SVCs for analysis. The modified Leonard and Boro method was significantly more precise than the Rushing and Ambrose method in predicting vancomycin clearance. Conclusion. Use of ABW proved to be superior compared with total body weight when estimating vancomycin clearance in overweight and obese patients. While there was no difference in bias between methods, the modified Leonard and Boro method was significantly more precise than the Rushing and Ambrose method in predicting SVCs when dosing vancomycin for obese patients.
ACCESSION #
59971087

 

Related Articles

  • can maths help us glimpse the future?  // New Zealand Science Teacher;2011, Issue 126, p6 

    The article focuses on the use of mathematics in predicting natural phenomena. It says that using random models are one way to estimate probabilities of natural events such as earthquake without defining fine details. In addition, processes like weather forecasting can be measured with...

  • The Sensitivity of Measures of Unwanted and Unintended Pregnancy Using Retrospective and Prospective Reporting: Evidence from Malawi. Yeatman, Sara; Sennott, Christie // Maternal & Child Health Journal;Jul2015, Vol. 19 Issue 7, p1593 

    A thorough understanding of the health implications of unwanted and unintended pregnancies is constrained by our ability to accurately identify them. Commonly used techniques for measuring such pregnancies are subject to two main sources of error: the ex post revision of preferences after a...

  • Reconstructing Digital Signals Using Shannon's Sampling Theorem. Hamill, Joseph; Caldwell, Graham E.; Derrick, Timothy R. // Journal of Applied Biomechanics;May1997, Vol. 13 Issue 2, p226 

    Evaluates the sampling theorem of biomechanical data on digital signals. Problems in analog-to-digital signal representation; Use of Nyquist critical frequency; Types of data signals.

  • Outcomes of Pharmacological Management of Violent Behavioural Disturbances in Older Hospital Patients. Cheh, Rachael M.; Selby, Philip R.; Abarno, Anita C.; Alderman, Christopher P. // Journal of Pharmacy Practice & Research;Sep2010, Vol. 40 Issue 3, p184 

    Background: Violent behaviour displayed by hospital patients that are a physical and personal threat to patients, visitors and staff is an emergency situation. Aim: To evaluate medications used to manage violent behavioural disturbances; to explore patients' antecedent characteristics; and to...

  • A note on 'Testing the number of components in a normal mixture'. Neal O. Jeffries // Biometrika;Dec2003, Vol. 90 Issue 4, p991 

    In a recent paper, Lo et al. (2001) propose a test for the likelihood ratio statistic based on the Kullback-Leibler information criterion when testing the null hypothesis that a random sample is drawn from a mixture of k0 normal components against the alternative hypothesis of a...

  • Risk Prediction for Adverse Pregnancy Outcomes in a Medicaid Population. Goyal, Neera K.; Hall, Eric S.; Greenberg, James M.; Kelly, Elizabeth A. // Journal of Women's Health (15409996);Aug2015, Vol. 24 Issue 8, p681 

    Background: Despite prior efforts to develop pregnancy risk prediction models, there remains a lack of evidence to guide implementation in clinical practice. The current aim was to develop and validate a risk tool grounded in social determinants theory for use among at-risk Medicaid patients....

  • Sample size in cluster randomisation. Kerry, Sally M.; Bland, J. Martin // BMJ: British Medical Journal (International Edition);02/14/98, Vol. 316 Issue 7130, p549 

    Describes sample size calculations for a cluster randomized clinical trial. Significance of design in cluster randomization trials.

  • 64-Slice MDCT Angiography of Upper Extremity in Assessment of Native Hemodialysis Access. Wasinrat, Jitladda; Siriapisith, Thanongchai; Thamtorawat, Somrach; Tongdee, Trongtum // Vascular & Endovascular Surgery;01/01/2011, Vol. 45 Issue 1, p69 

    Objective: To compare multidetector row computed tomographic (MDCT) angiography with conventional digital subtraction angiography (DSA) in the evaluation of vascular access stenoses in hemodialysis patients. Materials and methods: Twenty-one consecutive patients were imaged with MDCT angiography...

  • Using the Multi-Attribute Utility Model to Better Understand Fruit and Vegetable Intake among College Students. Stiles Hanlon, Anna; Wu Weiss, Jie; McMahan, Shari; Cheng, Emily // Californian Journal of Health Promotion;2012 Special Issue, Vol. 10 Issue S1, p40 

    This study examined the association between parameters of the decision-making processes that are described in the Multi-Attribute Utility (MAU) model and actual food choices (fruit and vegetable consumption) among undergraduate students. Four hundred and six undergraduates from a large, public...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics