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García-Díaz HC, Sánchez-Sancho P, Lalueza-Broto P, Nuvials X, Gorgas-Torner MQ, Doménech-Moral L. Drug dosing in obese critically ill patients, a literature review. FARMACIA HOSPITALARIA 2024:S1130-6343(24)00150-8. [PMID: 39419675 DOI: 10.1016/j.farma.2024.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 07/19/2024] [Accepted: 09/05/2024] [Indexed: 10/19/2024] Open
Abstract
INTRODUCTION The prevalence of obesity represents a significant global public health challenge, and the available evidence concerning the appropriate dosing of pharmaceutical in patients with obesity is limited. It is uncommon for clinical trials in critically ill patients to include obese individuals, which results in a lack of specific dosing information in product data sheets. The objective of this literature review is to provide clinicians with efficacious and secure guidelines for this cohort of patients. METHODS A multidisciplinary team comprising pharmacists specialized in hospital pharmacy and physicians with expertise in intensive care medicine was established. The therapeutic groups and, in particular, the most commonly used active ingredients within the Intensive Care Unit were identified and subjected to detailed analysis. The following terms were included in the search: "obese", "overweight", "critical illness", "drug dosification", and "therapeutic dose monitoring". All the information was then evaluated by the working group, which reached a consensus on the dosing recommendations for each drug in obese critically ill patients. RESULTS A total of 83 drugs belonging to the following therapeutic groups were identified: antivirals, antibacterials, antifungals, immunosuppressants, antiepileptics, vasopressors, anticoagulants, neuromuscular blocking agents and sedatives. A table was produced containing the consensus dosing recommendations for each of the aforementioned drugs following a review of the available evidence. CONCLUSIONS Drug dosing in obese patients, both in critical and noncritical settings, remains an area with significant uncertainty. This review provides comprehensive and up-to-date information on the dosing of the main therapeutic groups in obese critically ill patients, offering a valuable resource physicians in critical care units and clinical pharmacists in their practice in this setting.
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Affiliation(s)
| | | | - Pilar Lalueza-Broto
- Servicio de Farmacia, Hospital Universitari Vall d'Hebron, Barcelona, España
| | - Xavier Nuvials
- Servicio de Medicina Intensiva, Hospital Universitari Vall d'Hebron, Barcelona, España
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Sandes V, Figueras A, Lima EC. Pharmacovigilance Strategies to Address Resistance to Antibiotics and Inappropriate Use-A Narrative Review. Antibiotics (Basel) 2024; 13:457. [PMID: 38786184 PMCID: PMC11117530 DOI: 10.3390/antibiotics13050457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/11/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024] Open
Abstract
The spread of antimicrobial resistance (AMR) is a global challenge. Close and continuous surveillance for quick detection of AMR can be difficult, especially in remote places. This narrative review focuses on the contributions of pharmacovigilance (PV) as an auxiliary tool for identifying and monitoring the ineffectiveness, resistance, and inappropriate use of antibiotics (ABs). The terms "drug ineffective", "therapeutic failure", "drug resistance", "pathogen resistance", and "multidrug resistance" were found in PV databases and dictionaries, denoting ineffectiveness. These terms cover a range of problems that should be better investigated because they are useful in warning about possible causes of AMR. "Medication errors", especially those related to dose and indication, and "Off-label use" are highlighted in the literature, suggesting inappropriate use of ABs. Hence, the included studies show that the terms of interest related to AMR and use are not only present but frequent in PV surveillance programs. This review illustrates the feasibility of using PV as a complementary tool for antimicrobial stewardship activities, especially in scenarios where other resources are scarce.
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Affiliation(s)
- Valcieny Sandes
- Postgraduate Program in Pharmaceutical Sciences, School of Pharmacy, Federal University of Rio de Janeiro, Av. Carlos Chagas Filho-373, Rio de Janeiro 21941-170, RJ, Brazil;
- National Cancer Institute, Pr. da Cruz Vermelha-23, Rio de Janeiro 20230-130, RJ, Brazil
| | | | - Elisangela Costa Lima
- Postgraduate Program in Pharmaceutical Sciences, School of Pharmacy, Federal University of Rio de Janeiro, Av. Carlos Chagas Filho-373, Rio de Janeiro 21941-170, RJ, Brazil;
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Cocco M, Carnovale C, Clementi E, Barbieri MA, Battini V, Sessa M. Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review. Expert Rev Clin Pharmacol 2024; 17:441-453. [PMID: 38619027 DOI: 10.1080/17512433.2024.2343875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/12/2024] [Indexed: 04/16/2024]
Abstract
INTRODUCTION Drug-drug interactions (DDIs) are defined as the pharmacological effects produced by the concomitant administration of two or more drugs. To minimize false positive signals and ensure their validity when analyzing Spontaneous Reporting System (SRS) databases, it has been suggested to incorporate key pharmacological principles, such as temporal plausibility. AREAS COVERED The scoping review of the literature was completed using MEDLINE from inception to March 2023. Included studies had to provide detailed methods for identifying DDIs in SRS databases. Any methodological approach and adverse event were accepted. Descriptive analyzes were excluded as we focused on automatic signal detection methods. The result is an overview of all the available methods for DDI signal detection in SRS databases, with a specific focus on the evaluation of the co-exposure time of the interacting drugs. It is worth noting that only a limited number of studies (n = 3) have attempted to address the issue of overlapping drug administration times. EXPERT OPINION Current guidelines for signal validation focus on factors like the number of reports and temporal association, but they lack guidance on addressing overlapping drug administration times, highlighting a need for further research and method development.
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Affiliation(s)
- Marianna Cocco
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- Department of Drug Sciences, University of Pavia, Pavia, Italy
| | - Carla Carnovale
- Pharmacovigilance & Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università Degli Studi di Milano, Milan, Italy
| | - Emilio Clementi
- Pharmacovigilance & Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università Degli Studi di Milano, Milan, Italy
- Scientific Institute, IRCCS E. Medea, Bosisio Parini, LC, Italy
| | - Maria Antonietta Barbieri
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Vera Battini
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Maurizio Sessa
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
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Wei C, Yin W, He Z, Wu B. Reporting of Drug-Induced Myopathies Associated with the Combination of Statins and Daptomycin: A Disproportionality Analysis Using the US Food and Drug Administration Adverse Event Reporting System. J Clin Med 2023; 12:jcm12103548. [PMID: 37240654 DOI: 10.3390/jcm12103548] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/10/2023] [Accepted: 05/16/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND Myopathy is one of the most common adverse reactions of daptomycin and statins. We aimed to evaluate the muscular toxicity of the combination therapy of daptomycin and statins in a large pharmacovigilance database. METHODS This was a retrospective disproportionality analysis based on real-world data. All cases reported between the first quarter of 2004 and the fourth quarter of 2022 where daptomycin and statins were reported were gathered from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database. Disproportionality analyses were conducted by estimating the proportional reporting ratios (PRRs), reporting odds ratio (ROR), and information component (IC). RESULTS A total of 971,861 eligible cases were collected from the FAERS database. Data analysis showed that rosuvastatin (ROR: 124.39, 95% CI: 87.35-178.47), atorvastatin (ROR: 68.53, 95% CI: 51.93-90.43), and simvastatin (ROR: 94.83, 95% CI: 71.12-126.46) combined with daptomycin increased the reporting frequency of myopathy. Moreover, myopathy was reported more frequently with the 3-drug combination (ROR: 598.01, 95% CI: 231.81-1542.71). For rhabdomyolysis, the frequency of reports also increased when daptomycin was combined with rosuvastatin (ROR: 156.34, 95% CI: 96.21-254.05), simvastatin (ROR: 72.65, 95% CI: 47.36-111.44), and atorvastatin (ROR: 66.31, 95% CI: 44.06-99.81). CONCLUSIONS The combination of daptomycin and statins increased the association of myopathy and rhabdomyolysis, especially with rosuvastatin, simvastatin, and atorvastatin.
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Affiliation(s)
- Chunyan Wei
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Wanhong Yin
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu 610041, China
- West China School of Clinical Medical College, Sichuan University, Chengdu 610041, China
| | - Zhiyao He
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Bin Wu
- Department of Pharmacy, West China Hospital, Sichuan University, Chengdu 610041, China
- West China School of Pharmacy, Sichuan University, Chengdu 610041, China
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Matsumoto K, Samura M, Tashiro S, Shishido S, Saiki R, Takemura W, Misawa K, Liu X, Enoki Y, Taguchi K. Target Therapeutic Ranges of Anti-MRSA Drugs, Linezolid, Tedizolid and Daptomycin, and the Necessity of TDM. Biol Pharm Bull 2022; 45:824-833. [PMID: 35786589 DOI: 10.1248/bpb.b22-00276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The target therapeutic ranges of vancomycin, teicoplanin, and arbekacin have been determined, and therapeutic drug monitoring (TDM) is performed in clinical practice. However, TDM is not obligatory for daptomycin, linezolid, or tedizolid. In this study, we examined whether TDM will be necessary for these 3 drugs in the future. There was no significant difference in therapeutic effects on acute bacterial skin and skin structure infection between linezolid and tedizolid by meta-analysis. Concerning the therapeutic effects on pneumonia, the rate of effectiveness after treatment with tedizolid was significantly lower than with linezolid. With respect to safety, the incidences of gastrointestinal adverse events and blood/lymphatic system disorders related to tedizolid were significantly lower than those related to linezolid. Linezolid exhibits potent therapeutic effects on pneumonia, but the appearance of adverse reactions is indicated as a problem. There was a dose-dependent decrease in the platelet count, and the target trough concentration (Ctrough) was estimated to be 4-6 or 2-7 µg/mL in accordance with the patient's condition. The efficacy of linezolid may be obtained while minimizing the appearance of adverse reactions by performing TDM. The target therapeutic range of tedizolid cannot be achieved in immunocompromised or severe patients. Therefore, we concluded that TDM was unnecessary, considering step-down therapy with oral drugs, use in non-severe patients, and high-level safety. Concerning daptomycin, high-dose administration is necessary to achieve an area under the curve (AUC) of ≥666 as an index of efficacy. To secure its safety, Ctrough (<20 µg/mL) monitoring is important. Therefore, TDM is necessary.
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Affiliation(s)
| | - Masaru Samura
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Sho Tashiro
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Shino Shishido
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Reika Saiki
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Wataru Takemura
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Kana Misawa
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Xiaoxi Liu
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Yuki Enoki
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
| | - Kazuaki Taguchi
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy
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Chuma M, Nakamoto A, Bando T, Niimura T, Kondo Y, Hamano H, Okada N, Asada M, Zamami Y, Takechi K, Goda M, Miyata K, Yagi K, Yoshioka T, Izawa-Ishizawa Y, Yanagawa H, Tasaki Y, Ishizawa K. Association between statin use and daptomycin-related musculoskeletal adverse events: A mixed approach combining a meta-analysis and a disproportionality analysis. Clin Infect Dis 2022; 75:1416-1422. [PMID: 35262686 PMCID: PMC9555841 DOI: 10.1093/cid/ciac128] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Indexed: 12/26/2022] Open
Abstract
Background There is a growing concern about the association between the combined use of daptomycin (DAP) and statins and the occurrence of musculoskeletal adverse events (MAEs), but this remains controversial. This study aimed to clarify the association between statin use and DAP-related MAEs. Methods We used a mixed approach that combines 2 methodologies. First, we conducted a meta-analysis to examine the effects of statin use on DAP-related MAEs. Second, we conducted a disproportionality analysis using the US Food and Drug Administration Adverse Events Reporting System (FAERS) to further confirm the results of the meta-analysis and to examine the effect of each type of statin on DAP-related MAEs in a large population. Results In the meta-analysis, statin use significantly increased the incidence of DAP-related rhabdomyolysis (odds ratio [OR]: 3.83; 95% confidence interval [CI]: 1.43–10.26) but not DAP-related myopathy (OR: 1.72; 95% CI: .95–3.12). In the disproportionality analysis using the FAERS, the use of statin significantly increased the reporting OR (ROR) for DAP-related myopathy (ROR: 5.69; 95% CI: 4.31–7.51) and rhabdomyolysis (ROR: 5.77; 95% CI: 4.33–7.68). Atorvastatin, rosuvastatin, and simvastatin all increased the incidence of DAP-related myopathy and rhabdomyolysis. Conclusion The mixed approach combining a meta-analysis and disproportionality analysis showed that statin use was associated with the occurrence of DAP-related rhabdomyolysis. The appropriate use of statins and DAP should be performed with careful consideration of its safety.
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Affiliation(s)
- Masayuki Chuma
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.,Department of Hospital Pharmacy and Pharmacology, Asahikawa Medical University, Midorigaoka-higashi, Asahikawa, Japan
| | - Aki Nakamoto
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Takashi Bando
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Takahiro Niimura
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Tomioka, Urayasu, Chiba, Japan
| | - Hirofumi Hamano
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.,Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Naoto Okada
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Mizuho Asada
- Department of Pharmacy, Medical Hospital, Tokyo Medical and Dental University, Yushima, Bunkyo-ku, Tokyo, Japan
| | - Yoshito Zamami
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan.,Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University, Kuramoto-cho, Tokushima, Japan.,Department of Pharmacy, Okayama University Hospital, Shikata-cho, Kita-ku, Okayama, Japan
| | - Kenshi Takechi
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan.,Department of Drug Information Analysis, College of Pharmaceutical Sciences, Matsuyama University, Bunkyo-cho, Matsuyama, Ehime, Japan
| | - Mitsuhiro Goda
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan.,Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University, Kuramoto-cho, Tokushima, Japan
| | - Koji Miyata
- Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University, Kuramoto-cho, Tokushima, Japan
| | - Kenta Yagi
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Toshihiko Yoshioka
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan
| | - Yuki Izawa-Ishizawa
- Department of Pharmacology, Graduate School of Biomedical Sciences, Tokushima University, Kuramoto-cho, Tokushima, Japan
| | - Hiroaki Yanagawa
- Clinical Research Center for Developmental Therapeutics, Tokushima University Hospital, Tokushima, Japan
| | - Yoshikazu Tasaki
- Department of Hospital Pharmacy and Pharmacology, Asahikawa Medical University, Midorigaoka-higashi, Asahikawa, Japan
| | - Keisuke Ishizawa
- Department of Pharmacy, Tokushima University Hospital, Kuramoto-cho, Tokushima, Japan.,Department of Clinical Pharmacology and Therapeutics, Graduate School of Biomedical Sciences, Tokushima University, Kuramoto-cho, Tokushima, Japan
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7
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Samura M, Takada K, Hirose N, Kurata T, Nagumo F, Koshioka S, Ishii J, Uchida M, Inoue J, Enoki Y, Taguchi K, Tanikawa K, Matsumoto K. Incidence of elevated creatine phosphokinase between daptomycin alone and concomitant daptomycin and statins: a systematic review and meta-analysis. Br J Clin Pharmacol 2021; 88:1985-1998. [PMID: 34902879 DOI: 10.1111/bcp.15172] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 11/24/2021] [Accepted: 12/01/2021] [Indexed: 11/28/2022] Open
Abstract
AIM The present systematic review and meta-analysis evaluated the incidence of elevated creatine phosphokinase (CPK) levels between daptomycin alone and concomitant daptomycin and statin use. METHODS We searched the PubMed, Web of Sciences, Cochrane Library, and ClinicalTrials.gov databases. We analysed the incidence of elevated CPK between daptomycin alone and concomitant daptomycin and statins among studies defining CPK elevation as levels ≥ the upper limit of normal (ULN) or ≥ 5 times ULN. We also analysed the incidence of rhabdomyolysis between the groups. We then calculated the odds ratios (ORs) and 95% confidence intervals (CIs) based on the included studies. RESULTS Comparing CPK elevation defined as CPK levels ≥ ULN, a significantly higher incidence of CPK elevation was observed with concomitant daptomycin and statin use than with daptomycin alone (OR=2.55, 95% CI 1.78-3.64, p<0.00001, I2 =0%). Likewise, when CPK elevation was defined as CPK levels ≥ 5 times ULN, a significantly higher incidence of CPK elevation was detected with concomitant daptomycin and statin use than with daptomycin alone (OR = 1.89, 95% CI 1.06-3.35, p=0.03, I2 =48%). The incidence of rhabdomyolysis was significantly higher following concomitant daptomycin and statin use than with daptomycin alone (OR = 11.60, 95% CI 1.81-74.37, p=0.01, I2 =0%). CONCLUSIONS The combined use of daptomycin and statins were significant risk factors for the incidence of CPK elevation defined as levels ≥ ULN or ≥ 5 times ULN and rhabdomyolysis.
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Affiliation(s)
- Masaru Samura
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan.,Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Keisuke Takada
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Naoki Hirose
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Takenori Kurata
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Fumio Nagumo
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Sakura Koshioka
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Junichi Ishii
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Masaki Uchida
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Junki Inoue
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Yuki Enoki
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan
| | - Kazuaki Taguchi
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan
| | - Koji Tanikawa
- Department of Pharmacy, Yokohama General Hospital, Yokohama, Kanagawa, Japan
| | - Kazuaki Matsumoto
- Division of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan
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