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Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment

Authors :
Ryo Yamaguchi
Hiroko Kani
Takehito Yamamoto
Takehiro Tanaka
Hiroshi Suzuki
Source :
Journal of Pharmaceutical Health Care and Sciences, Vol 8, Iss 1, Pp 1-11 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Background The standard dose of vancomycin (VCM, 2 g/day) sometimes fails to achieve therapeutic concentration in patients with normal renal function. In this study, we aimed to identify factors to predict patients who require high-dose vancomycin (> 2 g/day) to achieve a therapeutic concentration and to develop a decision flowchart to select these patients prior to VCM administration. Methods Patients who had an estimated creatinine clearance using the Cockcroft–Gault equation (eCCr) of ≥50 mL/min and received intravenous VCM were divided into 2 cohorts: an estimation set (n = 146, from April to September 2016) and a validation set (n = 126, from October 2016 to March 2017). In each set, patients requiring ≤2 g/day of VCM to maintain the therapeutic trough concentration (10–20 μg/mL) were defined as standard-dose patients, while those who needed > 2 g/day were defined as high-dose patients. Univariate and multivariate logistic regression analysis was performed to identify the predictive factors for high-dose patients and decision tree analysis was performed to develop decision flowchart to identify high-dose patients. Results Among the covariates analyzed, age and eCCr were identified as independent predictors for high-dose patients. Further, the decision tree analysis revealed that eCCr (cut off value = 81.3 mL/min) is the top predictive factor and is followed by age (cut off value = 58 years). Based on these findings, a decision flowchart was constructed, in which patients with eCCr ≥81.3 mL/min and age

Details

Language :
English
ISSN :
20550294
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Pharmaceutical Health Care and Sciences
Publication Type :
Academic Journal
Accession number :
edsdoj.9d1beb7e28154bf0a4f4b5ccc938eef9
Document Type :
article
Full Text :
https://doi.org/10.1186/s40780-021-00231-w