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Barrett JS. Artificial Intelligence Opportunities to Guide Precision Dosing Strategies. J Pediatr Pharmacol Ther 2024; 29:434-440. [PMID: 39144390 PMCID: PMC11321806 DOI: 10.5863/1551-6776-29.4.434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Accepted: 03/12/2024] [Indexed: 08/16/2024]
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Pereira JG, Fernandes J, Duarte AR, Fernandes SM. β-Lactam Dosing in Critical Patients: A Narrative Review of Optimal Efficacy and the Prevention of Resistance and Toxicity. Antibiotics (Basel) 2022; 11:antibiotics11121839. [PMID: 36551496 PMCID: PMC9774837 DOI: 10.3390/antibiotics11121839] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 12/13/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
Antimicrobial prescription in critically ill patients represents a complex challenge due to the difficult balance between infection treatment and toxicity prevention. Underexposure to antibiotics and therapeutic failure or, conversely, drug overexposure and toxicity may both contribute to a worse prognosis. Moreover, changes in organ perfusion and dysfunction often lead to unpredictable pharmacokinetics. In critically ill patients, interindividual and intraindividual real-time β-lactam antibiotic dose adjustments according to the patient's condition are critical. The continuous infusion of β-lactams and the therapeutic monitoring of their concentration have both been proposed to improve their efficacy, but strong data to support their use are still lacking. The knowledge of the pharmacokinetic/pharmacodynamic targets is poor and is mostly based on observational data. In patients with renal or hepatic failure, selecting the right dose is even more tricky due to changes in drug clearance, distribution, and the use of extracorporeal circuits. Intermittent usage may further increase the dosing conundrum. Recent data have emerged linking overexposure to β-lactams to central nervous system toxicity, mitochondrial recovery delay, and microbiome changes. In addition, it is well recognized that β-lactam exposure facilitates resistance selection and that correct dosing can help to overcome it. In this review, we discuss recent data regarding real-time β-lactam antibiotic dose adjustment, options in special populations, and the impacts on mitochondria and the microbiome.
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Affiliation(s)
- João Gonçalves Pereira
- Hospital Vila Franca de Xira, 2600-009 Vila Franca de Xira, Portugal
- Grupo de Investigação e Desenvolvimento em Infeção e Sépsis, 4450-681 Matosinhos, Portugal
- Correspondence: ; Tel.: +351-96-244-1546
| | - Joana Fernandes
- Centro Hospitalar de Trás-os-Montes e Alto Douro, 5000-508 Vila Real, Portugal
| | - Ana Rita Duarte
- Nova Medical School, Universidade NOVA de Lisboa, 1099-085 Lisbon, Portugal
| | - Susana Mendes Fernandes
- Grupo de Investigação e Desenvolvimento em Infeção e Sépsis, 4450-681 Matosinhos, Portugal
- Clínica Universitária de Medicina Intensiva, Faculdade de Medicina, Universidade de Lisboa, 1649-004 Lisboa, Portugal
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3
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Stojanova J, Carland JE, Murnion B, Seah V, Siderov J, Lemaitre F. Therapeutic drug monitoring in oncology - What’s out there: A bibliometric evaluation on the topic. Front Oncol 2022; 12:959741. [PMID: 36439413 PMCID: PMC9685987 DOI: 10.3389/fonc.2022.959741] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/07/2022] [Indexed: 11/12/2022] Open
Abstract
Pharmacological therapy is the mainstay of treatment for cancer patients. Despite wide interpatient variability in systemic drug concentrations for numerous antineoplastics, dosing based on body size remains the predominant approach. Therapeutic drug monitoring (TDM) is used for few antineoplastics in specific scenarios. We conducted a rapid bibliometric evaluation of TDM in oncology to capture a snapshot of research in this area over time and explore topics that reflect development in the field. Reports with the composite, indexed term ‘therapeutic drug monitoring’ in the title and abstract were extracted from MEDLINE (inception to August 2021). Reports related to applications in cancer were selected for inclusion and were tagged by study design, antineoplastic drugs and concepts related to TDM. We present a timeline from 1980 to the present indicating the year of first report of antineoplastic agents and key terms. The reports in our sample primarily reflected development and validation of analytical methods with few relating to clinical outcomes to support implementation. Our work emphasises evidence gaps that may contribute to poor uptake of TDM in oncology.
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Affiliation(s)
- Jana Stojanova
- Department of Clinical Pharmacology and Toxicology, St. Vincent’s Hospital, Sydney, NSW, Australia
- Interdisciplinary Centre for Health Studies (CIESAL), Universidad de Valparaiíso, Valparaiíso, Chile
- *Correspondence: Jana Stojanova,
| | - Jane E. Carland
- Department of Clinical Pharmacology and Toxicology, St. Vincent’s Hospital, Sydney, NSW, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, Sydney, NSW, Australia
| | - Bridin Murnion
- Department of Clinical Pharmacology and Toxicology, St. Vincent’s Hospital, Sydney, NSW, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Vincent Seah
- Department of Clinical Pharmacology and Toxicology, St. Vincent’s Hospital, Sydney, NSW, Australia
| | - Jim Siderov
- Pharmacy Department, Austin Health, Heidelberg, VIC, Australia
| | - Florian Lemaitre
- Université de Rennes, CHU Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail), Rennes, France
- INSERM, Centre d’Investigation Clinique, Rennes, France
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Pais GM, Chang J, Barreto EF, Stitt G, Downes KJ, Alshaer MH, Lesnicki E, Panchal V, Bruzzone M, Bumanglag AV, Burke SN, Scheetz MH. Clinical Pharmacokinetics and Pharmacodynamics of Cefepime. Clin Pharmacokinet 2022; 61:929-953. [PMID: 35764774 PMCID: PMC9345683 DOI: 10.1007/s40262-022-01137-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/02/2022] [Indexed: 11/28/2022]
Abstract
Cefepime is a broad-spectrum fourth-generation cephalosporin with activity against Gram-positive and Gram-negative pathogens. It is generally administered as an infusion over 30-60 min or as a prolonged infusion with infusion times from 3 h to continuous administration. Cefepime is widely distributed in biological fluids and tissues with an average volume of distribution of ~ 0.2 L/kg in healthy adults with normal renal function. Protein binding is relatively low (20%), and elimination is mainly renal. About 85% of the dose is excreted unchanged in the urine, with an elimination half-life of 2-2.3 h. The pharmacokinetics of cefepime is altered under certain pathophysiological conditions, resulting in high inter-individual variability in cefepime volume of distribution and clearance, which poses challenges for population dosing approaches. Consequently, therapeutic drug monitoring of cefepime may be beneficial in certain patients including those who are critically ill, have life-threatening infections, or are infected with more resistant pathogens. Cefepime is generally safe and efficacious, with a goal exposure target of 70% time of the free drug concentration over the minimum inhibitory concentration for clinical efficacy. In recent years, reports of neurotoxicity have increased, specifically in patients with impaired renal function. This review summarizes the pharmacokinetics, pharmacodynamics, and toxicodynamics of cefepime contemporarily in the setting of increasing cefepime exposures. We explore the potential benefits of extended or continuous infusions and therapeutic drug monitoring in special populations.
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Affiliation(s)
- Gwendolyn M Pais
- Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, 555 31st St., Downers Grove, IL, 60515, USA
- Chicago College of Pharmacy Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL, USA
| | - Jack Chang
- Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, 555 31st St., Downers Grove, IL, 60515, USA
- Chicago College of Pharmacy Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL, USA
| | | | - Gideon Stitt
- Center for Clinical Pharmacology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kevin J Downes
- Center for Clinical Pharmacology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Infectious Diseases, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, The University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Mohammad H Alshaer
- Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA
- Infectious Disease Pharmacokinetics Lab, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Emily Lesnicki
- College of Graduate Studies, Midwestern University, Downers Grove, IL, USA
| | - Vaidehi Panchal
- Chicago College of Osteopathic Medicine, Midwestern University, Downers Grove, IL, USA
| | - Maria Bruzzone
- Division of Neurology, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Argyle V Bumanglag
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
- Cognitive Aging and Memory Center, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Sara N Burke
- Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA
- Cognitive Aging and Memory Center, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Marc H Scheetz
- Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, 555 31st St., Downers Grove, IL, 60515, USA.
- Chicago College of Pharmacy Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL, USA.
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Vegas Cómitre MD, Cortellini S, Cherlet M, Devreese M, Roques BB, Bousquet-Melou A, Toutain PL, Pelligand L. Population Pharmacokinetics of Intravenous Amoxicillin Combined With Clavulanic Acid in Healthy and Critically Ill Dogs. Front Vet Sci 2021; 8:770202. [PMID: 34869739 PMCID: PMC8636140 DOI: 10.3389/fvets.2021.770202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 10/18/2021] [Indexed: 12/03/2022] Open
Abstract
Background: Data regarding antimicrobial pharmacokinetics (PK) in critically ill dogs are lacking and likely differ from those of healthy dogs. The aim of this work is to describe a population PK model for intravenous (IV) amoxicillin–clavulanic acid (AMC) in both healthy and sick dogs and to simulate a range of clinical dosing scenarios to compute PK/PD cutoffs for both populations. Methods: This study used a prospective clinical trial in normal and critically ill dogs. Twelve client-owned dogs hospitalized in the intensive care unit (ICU) received IV AMC 20 mg/kg every 8 h (0.5-h infusion) during at least 48 h. Eight blood samples were collected at predetermined times, including four trough samples before the next administration. Clinical covariates and outcome were recorded, including survival to discharge and bacteriologic clinical failure. Satellite PK data were obtained de novo from a group of 12 healthy research dogs that were dosed with a single AMC 20 mg/kg IV. Non-linear mixed-effects model was used to estimate the PK parameters (and the effect of health upon them) together with variability within and between subjects. Monte Carlo simulations were performed with seven dosage regimens (standard and increased doses). The correlation between model-derived drug exposure and clinical covariates was tested with Spearman's non-parametric correlation analysis. Outcome was recorded including survival to discharge and bacteriologic clinical failure. Results: A total of 218 amoxicillin concentrations in plasma were available for healthy and sick dogs. A tricompartmental model best described the data. Amoxicillin clearance was reduced by 56% in sick dogs (0.147 L/kg/h) compared with healthy dogs (0.336 L/kg/h); intercompartmental clearance was also decreased (p <0.01). None of the clinical data covariates were significantly correlated with individual exposure. Monte Carlo simulations showed that higher PK/PD cutoff values of 8 mg/L could be reached in sick dogs by extending the infusion to 3 h or doubling the dose. Conclusions: The PK of AMC is profoundly different in critically ill dogs compared with normal dogs, with much higher interindividual variability and a lower systemic clearance. Our study allows to generate hypotheses with regard to higher AMC exposure in clinical dogs and provides supporting data to revise current AMC clinical breakpoint for IV administration.
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Affiliation(s)
- Maria D Vegas Cómitre
- Department of Clinical Science and Services, The Royal Veterinary College, Hatfield, United Kingdom
| | - Stefano Cortellini
- Department of Clinical Science and Services, The Royal Veterinary College, Hatfield, United Kingdom
| | - Marc Cherlet
- Department of Pharmacology, Toxicology and Biochemistry, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | - Mathias Devreese
- Department of Pharmacology, Toxicology and Biochemistry, Faculty of Veterinary Medicine, Ghent University, Merelbeke, Belgium
| | | | | | - Pierre-Louis Toutain
- INTHERES, Université de Toulouse, INRAE, ENVT, Toulouse, France.,Department of Comparative Biomedical Science, The Royal Veterinary College, Hatfield, United Kingdom
| | - Ludovic Pelligand
- Department of Clinical Science and Services, The Royal Veterinary College, Hatfield, United Kingdom.,Department of Comparative Biomedical Science, The Royal Veterinary College, Hatfield, United Kingdom
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Sandaradura I, Alffenaar JW, Cotta MO, Daveson K, Day RO, Van Hal S, Lau C, Marriott DJE, Penm J, Roberts JA, Tabah A, Williams P, Imani S. Emerging therapeutic drug monitoring of anti-infective agents in Australian hospitals: Availability, performance and barriers to implementation. Br J Clin Pharmacol 2021; 88:669-679. [PMID: 34289135 DOI: 10.1111/bcp.14995] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 06/29/2021] [Accepted: 07/03/2021] [Indexed: 12/15/2022] Open
Abstract
AIMS The purpose of the study was to assess the status of emerging therapeutic drug monitoring (TDM) of anti-infective agents in Australian hospitals. METHODS A nationwide cross-sectional survey of all Australian hospitals operating in the public and private health sector was conducted between August and September 2019. The survey consisted of questions regarding institutional TDM practice for anti-infective agents and clinical vignettes specific to β-lactam antibiotics. RESULTS Responses were received from 82 unique institutions, representing all Australian states and territories. All 29 (100%) of principal referral (major) hospitals in Australia participated. Five surveys were partially complete. Only 25% (20/80) of hospitals had TDM testing available on-site for any of the eight emerging TDM candidates considered: β-lactam antibiotics, anti-tuberculous agents, flucytosine, fluoroquinolones, ganciclovir, human immunodeficiency virus (HIV) drugs, linezolid and teicoplanin. A considerable time lag was noted between TDM sampling and reporting of results. With respect to β-lactam antibiotic TDM, variable indications, pharmacodynamic targets and sampling times were identified. The three greatest barriers to local TDM performance were found to be (1) lack of timely assays/results, (2) lack of institutional-wide expertise and/or training and (3) lack of guidelines to inform ordering of TDM and interpretation of results. The majority of respondents favoured establishing national TDM guidelines and increasing access to dose prediction software, at rates of 89% and 96%, respectively. CONCLUSION Translating emerging TDM evidence into daily clinical practice is slow. Concerted efforts are required to address the barriers identified and facilitate the implementation of standardised practice.
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Affiliation(s)
- Indy Sandaradura
- Centre for Infectious Diseases and Microbiology, Westmead Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, Westmead Clinical School, The University of Sydney, Sydney, NSW, Australia.,Institute of Clinical Pathology and Medical Research, New South Wales Health Pathology, Westmead Hospital, Sydney, NSW, Australia.,St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia
| | - Jan-Willem Alffenaar
- Department of Pharmacy, Westmead Hospital, Sydney, NSW, Australia.,Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Sydney, NSW, Australia
| | - Menino O Cotta
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia
| | - Kathryn Daveson
- Department of Infectious Diseases, Canberra Hospital, Canberra, ACT, Australia.,Queensland Statewide Antimicrobial Stewardship Program, Metro North Hospital and Health Services, Brisbane, QLD, Australia
| | - Richard O Day
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia.,School of Medical Sciences, The University of New South Wales, Sydney, NSW, Australia.,Department of Clinical Pharmacology and Toxicology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Sebastiaan Van Hal
- Department of Infectious Diseases and Microbiology, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Cindy Lau
- Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Department of Pharmacy, St Vincent's Hospital, Sydney, NSW, Australia
| | - Deborah J E Marriott
- St Vincent's Clinical School, Faculty of Medicine, The University of New South Wales, Sydney, NSW, Australia.,Department of Clinical Microbiology, SydPath, St Vincent's Hospital, Sydney, NSW, Australia
| | - Jonathan Penm
- Faculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.,Department of Pharmacy, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Jason A Roberts
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Departments of Pharmacy and Intensive Care, Royal Brisbane and Women's Hospital, Brisbane, QLD, Australia
| | - Alexis Tabah
- Intensive Care Unit, Redcliffe Hospital, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Paul Williams
- University of Queensland Centre for Clinical Research, The University of Queensland, Brisbane, QLD, Australia.,Department of Pharmacy, Sunshine Coast University Hospital, Sunshine Coast, QLD, Australia
| | - Sahand Imani
- Northern Sydney Local Health District, Hornsby Ku-ring-gai Hospital, Sydney, NSW, Australia
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Optimizing Antimicrobial Drug Dosing in Critically Ill Patients. Microorganisms 2021; 9:microorganisms9071401. [PMID: 34203510 PMCID: PMC8305961 DOI: 10.3390/microorganisms9071401] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 06/25/2021] [Accepted: 06/25/2021] [Indexed: 12/23/2022] Open
Abstract
A fundamental step in the successful management of sepsis and septic shock is early empiric antimicrobial therapy. However, for this to be effective, several decisions must be addressed simultaneously: (1) antimicrobial choices should be adequate, covering the most probable pathogens; (2) they should be administered in the appropriate dose, (3) by the correct route, and (4) using the correct mode of administration to achieve successful concentration at the infection site. In critically ill patients, antimicrobial dosing is a common challenge and a frequent source of errors, since these patients present deranged pharmacokinetics, namely increased volume of distribution and altered drug clearance, which either increased or decreased. Moreover, the clinical condition of these patients changes markedly over time, either improving or deteriorating. The consequent impact on drug pharmacokinetics further complicates the selection of correct drug schedules and dosing during the course of therapy. In recent years, the knowledge of pharmacokinetics and pharmacodynamics, drug dosing, therapeutic drug monitoring, and antimicrobial resistance in the critically ill patients has greatly improved, fostering strategies to optimize therapeutic efficacy and to reduce toxicity and adverse events. Nonetheless, delivering adequate and appropriate antimicrobial therapy is still a challenge, since pathogen resistance continues to rise, and new therapeutic agents remain scarce. We aim to review the available literature to assess the challenges, impact, and tools to optimize individualization of antimicrobial dosing to maximize exposure and effectiveness in critically ill patients.
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Barreto EF, Webb AJ, Pais GM, Rule AD, Jannetto PJ, Scheetz MH. Setting the Beta-Lactam Therapeutic Range for Critically Ill Patients: Is There a Floor or Even a Ceiling? Crit Care Explor 2021; 3:e0446. [PMID: 34136822 PMCID: PMC8202642 DOI: 10.1097/cce.0000000000000446] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Beta-lactam antibiotics exhibit high interindividual variability in drug concentrations in patients with critical illness which led to an interest in the use of therapeutic drug monitoring to improve effectiveness and safety. To implement therapeutic drug monitoring, it is necessary to define the beta-lactam therapeutic range-in essence, what drug concentration would prompt a clinician to make dose adjustments up or down. This objective of this narrative review was to summarize evidence for the "floor" (for effectiveness) and "ceiling" (for toxicity) for the beta-lactam therapeutic range to be used with individualized therapeutic drug monitoring. DATA SOURCES Research articles were sourced from PubMed using search term combinations of "pharmacokinetics," "pharmacodynamics," "toxicity," "neurotoxicity," "therapeutic drug monitoring," "beta-lactam," "cefepime," "meropenem," "piperacillin/tazobactam," "ICU," and "critical illness." STUDY SELECTION Articles were selected if they included preclinical, translational, or clinical data on pharmacokinetic and pharmacodynamic thresholds for effectiveness and safety for beta-lactams in critical illness. DATA SYNTHESIS Experimental data indicate a beta-lactam concentration above the minimum inhibitory concentration of the organism for greater than or equal to 40-60% of the dosing interval is needed, but clinical data indicate that higher concentrations may be preferrable. In the first 48 hours of critical illness, a free beta-lactam concentration at or above the susceptibility breakpoint of the most likely pathogen for 100% of the dosing interval would be reasonable (typically based on Pseudomonas aeruginosa). After 48 hours, the lowest acceptable concentration could be tailored to 1-2× the observed minimum inhibitory concentration of the organism for 100% of the dosing interval (often a more susceptible organism). Neurotoxicity is the primary dose-dependent adverse effect of beta-lactams, but the evidence remains insufficient to link a specific drug concentration to greater risk. CONCLUSIONS As studies advance the understanding of beta-lactam exposure and response in critically ill patients, it is essential to clearly define the acceptable therapeutic range to guide regimen selection and adjustment.
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Affiliation(s)
- Erin F Barreto
- Department of Pharmacy, Mayo Clinic, Rochester, MN
- Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN
| | - Andrew J Webb
- Department of Pharmacy, Oregon Health and Science University, Portland, OR
| | - Gwendolyn M Pais
- Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, Downers Grove, IL
- Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL
| | - Andrew D Rule
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
- Division of Epidemiology, Mayo Clinic, Rochester, MN
| | - Paul J Jannetto
- Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, MN
| | - Marc H Scheetz
- Department of Pharmacy Practice, Chicago College of Pharmacy, Midwestern University, Downers Grove, IL
- Pharmacometrics Center of Excellence, Midwestern University, Downers Grove, IL
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