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Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment
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 concentrati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725522/ https://www.ncbi.nlm.nih.gov/pubmed/34983684 http://dx.doi.org/10.1186/s40780-021-00231-w |
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author | Yamaguchi, Ryo Kani, Hiroko Yamamoto, Takehito Tanaka, Takehiro Suzuki, Hiroshi |
author_facet | Yamaguchi, Ryo Kani, Hiroko Yamamoto, Takehito Tanaka, Takehiro Suzuki, Hiroshi |
author_sort | Yamaguchi, Ryo |
collection | PubMed |
description | 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 < 58 years were designated as high-dose patients and other patients were designated as standard-dose patients. Subsequently, we applied this decision flowchart to the validation set and obtained good predictive performance (positive and negative predictive values are 77.6 and 84.4%, respectively). CONCLUSION: These results suggest that the decision flowchart constructed in this study provides an important contribution for avoiding underdosing of VCM in patients with eCCr of ≥50 mL/min. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40780-021-00231-w. |
format | Online Article Text |
id | pubmed-8725522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87255222022-01-06 Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment Yamaguchi, Ryo Kani, Hiroko Yamamoto, Takehito Tanaka, Takehiro Suzuki, Hiroshi J Pharm Health Care Sci Research Article 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 < 58 years were designated as high-dose patients and other patients were designated as standard-dose patients. Subsequently, we applied this decision flowchart to the validation set and obtained good predictive performance (positive and negative predictive values are 77.6 and 84.4%, respectively). CONCLUSION: These results suggest that the decision flowchart constructed in this study provides an important contribution for avoiding underdosing of VCM in patients with eCCr of ≥50 mL/min. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40780-021-00231-w. BioMed Central 2022-01-04 /pmc/articles/PMC8725522/ /pubmed/34983684 http://dx.doi.org/10.1186/s40780-021-00231-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yamaguchi, Ryo Kani, Hiroko Yamamoto, Takehito Tanaka, Takehiro Suzuki, Hiroshi Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title | Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title_full | Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title_fullStr | Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title_full_unstemmed | Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title_short | Development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
title_sort | development of a decision flowchart to identify the patients need high-dose vancomycin in early phase of treatment |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725522/ https://www.ncbi.nlm.nih.gov/pubmed/34983684 http://dx.doi.org/10.1186/s40780-021-00231-w |
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