Effects of pharmacist intervention in Vancomycin treatment for patients with bacteremia due to Methicillin-resistant Staphylococcus aureus

Komoto, Atsushi; Maiguma, Takayoshi; Teshima, Daisuke; Sugiyama, Tetsuhiro; Haruki, Yuto

doi:10.1371/journal.pone.0203453

Cited by 19 publications

(34 citation statements)

References 33 publications

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“…In this study, we verified whether the ward pharmacists contribute to the active implementation of TDM in anti- MRSA agents using large health insurance claims database. The strength of this study was the provision of more generalized information compared with previous single-center studies [6][7][8][9]. To account for the confounding, we employed the propensity score method for comparison of the proportions of TDM implementation between the ward and non-ward pharmacy services [14].…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…As described above, the effectiveness of pharmacist interventions in TDM have been reported previously [6][7][8][9]. However, almost all these studies were performed in a single center.…”

Section: Introductionmentioning

confidence: 94%

“…which covers anti-methicillin-resistant Staphylococcus aureus (MRSA) agents, antiepileptic agents, immunosuppressants, and arrhythmia agents [ 5 ]. Among them, anti-MRSA agents are widely subjected to TDM by pharmacists, and its usefulness has been previously reported [ 6 – 9 ]. For example, Komoto et al reported that pharmacist intervention of dose settings of vancomycin (VCM) was associated with maintaining a balance between the efficacy and safety of VCM therapy [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

“…Among them, anti-MRSA agents are widely subjected to TDM by pharmacists, and its usefulness has been previously reported [ 6 – 9 ]. For example, Komoto et al reported that pharmacist intervention of dose settings of vancomycin (VCM) was associated with maintaining a balance between the efficacy and safety of VCM therapy [ 6 ]. Masuda et al found that pharmacist intervention of TDM reduce the risk of VCM-induced nephrotoxicity [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

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Association of the ward pharmacy service with active implementation of therapeutic drug monitoring for vancomycin and teicoplanin—an epidemiological surveillance study using Japanese large health insurance claims database

Imai

Momo

Kashiwagi

et al. 2020

J Pharm Health Care Sci

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Background Ward pharmacists are required for the active implementation of therapeutic drug monitoring (TDM). This epidemiological study verified whether Japanese ward pharmacists contribute to improving the TDM implementation proportions of anti-methicillin-resistant Staphylococcus aureus (MRSA) agents using the large health insurance claims database. Methods The patients who received intravenous anti-MRSA agents from April 2012 to March 2017 were enrolled. We defined ward pharmacy service as the “drug management and guidance fee” and/or “inpatient pharmaceutical services premium”. In addition, implementation of TDM was identified by “the specific drug treatment management fee”. We compared the proportions of TDM implementation for vancomycin (VCM), teicoplanin (TEIC), and arbekacin (ABK) in the ward and non-ward pharmacy service groups. To avoid confounding, the propensity score method was employed. Moreover, the clinical variables affecting TDM implementation in each anti-MRSA agent were analyzed by using a multiple logistic regression model. Results The following number of patients were included in the study: VCM (n = 2138), TEIC (n = 596), and ABK (n = 142). After propensity score matching, the proportions of TDM implementation for VCM and TEIC were higher in the ward pharmacy service group than in the non-ward pharmacy service group (VCM: 69.2% vs 60.3%, TEIC: 51.4% vs 34.7%), while no significant difference was observed for ABK (21.2% vs 23.1%). As independent clinical variables affecting TDM implementation for VCM and TEIC, several clinical variables, including ward pharmacy services, were extracted. In contrast, no clinical variables were extracted for ABK. Conclusions We found that the ward pharmacy service is associated with the active implementation of TDM for anti-MRSA agents, such as VCM and TEIC.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

“…As described above, the effectiveness of pharmacist interventions in TDM have been reported previously [6][7][8][9]. However, almost all these studies were performed in a single center.…”

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Association of the ward pharmacy service with active implementation of therapeutic drug monitoring for vancomycin and teicoplanin—an epidemiological surveillance study using Japanese large health insurance claims database

Imai

Momo

Kashiwagi

et al. 2020

J Pharm Health Care Sci

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Comparison of Bayesian‐derived and first‐order analytic equations for calculation of vancomycin area under the curve

et al. 2022

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Introduction Consensus guidelines recommend targeting a vancomycin area under the curve to minimum inhibitory concentration (AUC24:MIC) ratio of 400–600 to improve therapeutic success and reduce nephrotoxicity. Although guidelines specify either Bayesian software or first‐order equations may be used to estimate AUC24, there are currently no large studies directly comparing these methods. Objective To compare calculated vancomycin AUC24 using first‐order equations with two‐drug concentrations at steady state to Bayesian two‐ and one‐concentration estimations. Methods This was a single‐center, retrospective cohort study of 978 adult hospitalized patients receiving intravenous vancomycin between 2017 and 2019. Patients were included if they received at least 72 h of vancomycin and had two‐serum drug concentrations obtained. AUC24 was calculated using first‐order analytic (linear), Bayesian two‐concentration, and Bayesian one‐concentration methods for each patient. The InsightRx™ software platform was used to calculate Bayesian AUC24. Pearson's correlation and clinical agreement (based on AUC24 classified as subtherapeutic, therapeutic, or supratherapeutic) were used to assess agreement between methods. Bland–Altman plots were used to assess mean difference (MD) and 95% limits of agreement (LOA). Results Excellent agreement was observed between linear and Bayesian two‐concentration methods (r = 0.963, clinical agreement = 87.4%) and Bayesian two‐concentration and one‐concentration methods (r = 0.931, clinical agreement = 88.5%); however, a degree of variability was noted with 95% LOA −99 to 76 (MD = −11.5 mg*h/L) and −92 to 113 (MD = −10.4 mg*h/L), for the respective comparisons. The agreement between linear and Bayesian one‐concentration approaches was less than prior comparisons (r = 0.823, clinical agreement = 76.8%) and demonstrated the greatest amount of variability with 95% LOA −197 to 153 (MD = −21.9 mg*h/L). Conclusions Linear and Bayesian two‐concentration methods demonstrated high‐level agreement with acceptable variability and may be considered comparable to estimate vancomycin AUC24. As linear and Bayesian one‐concentration methods demonstrated significant variability and suboptimal agreement, concerns exist surrounding the interchangeability of these methods in clinical practice, particularly at higher extremes of AUC24.

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Performance of Area under the Concentration-Time Curve Estimations of Vancomycin with Limited Sampling by a Newly Developed Web Application

et al. 2021

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Effects of pharmacist intervention in Vancomycin treatment for patients with bacteremia due to Methicillin-resistant Staphylococcus aureus

Cited by 19 publications

References 33 publications

Association of the ward pharmacy service with active implementation of therapeutic drug monitoring for vancomycin and teicoplanin—an epidemiological surveillance study using Japanese large health insurance claims database

Association of the ward pharmacy service with active implementation of therapeutic drug monitoring for vancomycin and teicoplanin—an epidemiological surveillance study using Japanese large health insurance claims database

Comparison of Bayesian‐derived and first‐order analytic equations for calculation of vancomycin area under the curve

Performance of Area under the Concentration-Time Curve Estimations of Vancomycin with Limited Sampling by a Newly Developed Web Application

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