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Oniki K, Shigaki T, Kajiwara-Morita A, Shigetome K, Yoshida A, Jinnouchi H, Saruwatari J. Quantitative assessment of metabolic memory and its prediction of renal function decline in patients with type 2 diabetes: A retrospective observational study. Diabetes Metab Syndr 2025; 19:103225. [PMID: 40239378 DOI: 10.1016/j.dsx.2025.103225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2024] [Revised: 04/07/2025] [Accepted: 04/11/2025] [Indexed: 04/18/2025]
Abstract
AIMS This study quantitatively assesses metabolic memory by modeling the relationship between hyperglycemic exposure and renal function decline in patients with type 2 diabetes (T2D). METHODS This retrospective longitudinal study included 381 Japanese patients with T2D. Hyperglycemic exposure was presented by calculating the area under the curve (AUC) for HbA1c ≥ 6 % (AUCHbA1c ≥ 6 %) during the observation period. A non-linear mixed-effects model was constructed to predict changes in estimated glomerular filtration rate (eGFR) based on AUCHbA1c ≥ 6 %. RESULTS The relationship between AUCHbA1c ≥ 6 % and eGFR changes was shown by a sigmoidal curve, with sex, age, diabetic retinopathy, dyslipidemia, and hypertension incorporated as covariates. The predictive utility of the model was validated using goodness-of-fit plot, visual predictive check, and bootstrap methods. CONCLUSIONS We developed an AUCHbA1c ≥ 6 %-based model to predict renal function decline in patients with T2D, showing that AUCHbA1c ≥ 6 % may serve as a quantitative indicator of metabolic memory.
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Affiliation(s)
- Kentaro Oniki
- Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.
| | - Takuro Shigaki
- Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan
| | - Ayami Kajiwara-Morita
- Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan; Diabetes Care Center, Jinnouchi Hospital, Kumamoto, Japan
| | - Keiichi Shigetome
- Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan
| | - Akira Yoshida
- Diabetes Care Center, Jinnouchi Hospital, Kumamoto, Japan
| | | | - Junji Saruwatari
- Division of Pharmacology and Therapeutics, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan.
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Shi M, Liu C, He L, Wu H, Wu Y. Therapeutic drug monitoring and the therapeutic reference range of levetiracetam for Chinese patients: Problems and issues. Seizure 2023; 109:26-33. [PMID: 37192596 DOI: 10.1016/j.seizure.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Levetiracetam (LEV) is widely used in the clinical monotherapy or multi-drug combination treatment of seizures due to its good tolerability and efficacy. Due to a lack of large-scale clinical studies, the relationship between levetiracetam concentrations, disease activity and adverse is unclear, limiting the usefulness of therapeutic drug monitoring (TDM) based LEV plasma levels. This study was intended to investigate factors influencing the pharmacokinetics of and the appropriate reference range of LEV concentration using available LEV TDM data. METHODS A rapid, accurate and sensitive high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS) method was established to determine LEV plasma concentrations. In this study, the levetiracetam plasma concentration monitoring data from 352 samples (taken from 248 patients) were used to explore the relationship between levetiracetam dose, age, combined administration with other antiseizure medications in patients with epilepsy. RESULTS Age and combined administration emerged as important affecting factors for the correlation of LEV concentration and dose. The correlation between concentration and dose was better in monotherapy. Combined administration may affect LEV concentration, especially when LEV is combined with oxcarbazepine, which might decrease the LEV concentration. CONCLUSION These findings emphasize the need to monitor LEV routinely LEV, especially among children and older adults when other antiseizure comedications are prescribed in the treatment regimen. LEV TDM is a well-established tool for the management of patients with epilepsy.
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Affiliation(s)
- Min Shi
- Department of Pharmacy, Hebei General Hospital, Shijiazhuang 050051, China; Graduate School, Hebei Medical University, Shijiazhuang 050017, China
| | - Chenxi Liu
- Graduate School, Hebei Medical University, Shijiazhuang 050017, China
| | - Lien He
- Department of Pharmacy, Hebei General Hospital, Shijiazhuang 050051, China
| | - Huizheng Wu
- Department of Pharmacy, Hebei General Hospital, Shijiazhuang 050051, China
| | - Yin Wu
- Department of Pharmacy, Hebei General Hospital, Shijiazhuang 050051, China; Graduate School, Hebei Medical University, Shijiazhuang 050017, China.
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Effect of Nonadherence on Levetiracetam Pharmacokinetics and Remedial Dose Recommendations Using Monte Carlo Simulations. Eur J Drug Metab Pharmacokinet 2022; 47:667-676. [PMID: 35761145 DOI: 10.1007/s13318-022-00774-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND AND OBJECTIVE Nonadherence to levetiracetam (LEV) use can result in subtherapeutic concentrations and increase the risk of the occurrence of seizures. The impact of missing LEV doses on its pharmacokinetics and evidence of the appropriate remedial dose is lacking. This study has determined the influence of missed LEV doses on its pharmacokinetics and has explored the appropriate remedial dosage regimens. METHODS Monte Carlo simulation was used to assess the impacts of different remedial dosage regimens on LEV concentrations. Simulated LEV concentrations outside the individual therapeutic range were calculated for the compliance scenario and for each of the remedial dosage regimens. The percentage of deviation from the full compliance scenario was also calculated. The regimen with the lowest percentage of deviation was considered the most appropriate. RESULTS The suitable LEV remedial dose varied across the delay times. For one missed dose, a remedial regimen with a regular dose followed by the usual dose was suitable for a delay time of less than 6 h, while a replacement with a regular dose followed by a partial dose appeared to be appropriate for a delay time of 6 h and longer. This was justified based on the concerns of LEV toxicity when the remedial dose is close to the next scheduled dose. For two consecutive missed doses, a remedial dose with one and a half of the regular dose was suitable if the gap between that and the next dose was greater than 6 h. CONCLUSIONS The appropriate remedial dosage regimen for one and two consecutive missed doses of LEV have been proposed. These remedial regimens, however, should be applied with clinicians' judgment based on the clinical status of the patients.
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Methaneethorn J, AlEjielat R, Leelakanok N. Factors influencing methotrexate and methotrexate polyglutamate in patients with rheumatoid arthritis: a systematic review of population pharmacokinetics. Drug Metab Pers Ther 2022; 37:229-240. [PMID: 35218177 DOI: 10.1515/dmpt-2021-0190] [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: 09/26/2021] [Accepted: 12/18/2021] [Indexed: 11/15/2022]
Abstract
Low dose methotrexate (MTX) is commonly used in the treatment of rheumatoid arthritis. The clinical effect is mediated by its metabolite, methotrexate polyglutamate (MTX-PGn). The drug exhibits high interindividual pharmacokinetic variability and the optimal MTX dose is different among individuals. Thus, several MTX population pharmacokinetic (PopPK) models were developed to characterize factors affecting MTX pharmacokinetic variability. This review summarizes significant predictors for MTX pharmacokinetics and identifies knowledge gaps to be further examined. A total of 359 articles were identified from a systematic search of four databases: PubMed, Science Direct, and CINAHL Complete. Of these eight studies were included. Most studies investigated influential factors on MTX pharmacokinetics, but information on MTX-PGn is limited, with only one study performing a parent-metabolite (MTX-PG3) model. MTX pharmacokinetics was described using a two-compartment model with first-order elimination in most studies, with the MTX clearance ranging from 6.94 to 12.39 L/h. Significant predictors influencing MTX clearance included weight, creatinine clearance, sex, OATP1B3 polymorphism, and MTX multiple dosing. While body mass index and red blood cell counts were significant predictors for MTX-PG3 clearance. Providing that MTX-PGn plays a crucial role in clinical effect, further studies should determine other factors affecting MTX-PGn as well as its relationship with clinical response.
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Affiliation(s)
- Janthima Methaneethorn
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Naresuan University, Phitsanulok, Thailand.,Center of Excellence for Environmental Health and Toxicology, Naresuan University, Phitsanulok, Thailand
| | - Rowan AlEjielat
- Faculty of Pharmacy and Medical Sciences, University of Petra, Amman, Jordan
| | - Nattawut Leelakanok
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand
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The Pharmacokinetics of Levetiracetam in Critically Ill Adult Patients: An Intensive Care Unit Clinical Study. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12031208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The aim of this study was to investigate levetiracetam pharmacokinetics in critically ill adult intensive care patients and to identify pathophysiological factors affecting its kinetics. Fourteen critically ill patients in an intensive care unit were enrolled in the study and received intravenous levetiracetam. Blood samples were collected at specific time points to determine the levetiracetam pharmacokinetics. Patient characteristics such as renal function, demographics, disease severity, organ dysfunction, and biochemical laboratory tests were evaluated for their influence on the kinetics of levetiracetam. Estimated glomerular filtration rate (eGFR) had a statistically significant (p = 0.001) effect on levetiracetam clearance. None of the other patient characteristics had a statistically significant effect on the pharmacokinetics. Simulations of dosing regimens revealed that even typically administered doses of levetiracetam may result in significantly increased concentrations and risk of drug toxicity in patients with impaired renal function. The Acute Physiology and Chronic Health Evaluation II (APACHE II) score differed significantly among the three groups with different epileptic activity (p = 0.034). The same groups also differed in terms of renal function (p = 0.031). Renal dysfunction should be considered when designing levetiracetam dosage. Patients with a low APACHE II score had the lowest risk of experiencing epileptic seizures.
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Bilbao-Meseguer I, Barrasa H, Asín-Prieto E, Alarcia-Lacalle A, Rodríguez-Gascón A, Maynar J, Sánchez-Izquierdo JÁ, Balziskueta G, Griffith MSB, Quilez Trasobares N, Solinís MÁ, Isla A. Population Pharmacokinetics of Levetiracetam and Dosing Evaluation in Critically Ill Patients with Normal or Augmented Renal Function. Pharmaceutics 2021; 13:pharmaceutics13101690. [PMID: 34683983 PMCID: PMC8540413 DOI: 10.3390/pharmaceutics13101690] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 11/16/2022] Open
Abstract
Levetiracetam is a broad-spectrum antiepileptic drug commonly used in intensive care units (ICUs). The objective of this study is to evaluate the adequacy of levetiracetam dosing in patients with normal or augmented renal clearance (ARC) admitted to the ICU by population modelling and simulation. A multicentre prospective study including twenty-seven critically ill patients with urinary creatinine clearance (CrCl) > 50 mL/min and treated with levetiracetam was developed. Levetiracetam plasma concentrations were best described by a two-compartment model. The parameter estimates and relative standard errors (%) were clearance (CL) 3.5 L/h (9%), central volume of distribution (V1) 20.7 L (18%), intercompartmental clearance 31.9 L/h (22%), and peripheral volume of distribution 33.5 L (13%). Interindividual variability estimates were, for the CL, 32.7% (21%) and, for V1, 56.1% (29%). The CrCl showed significant influence over CL. Simulations showed that the administration of at least 500 mg every 8 h or 1000 mg every 12 h are needed in patients with normal renal function. Higher doses (1500 or 2000 mg, every 8 h) are needed in patients with ARC. Critically ill patients with normal or ARC treated with levetiracetam could be at high risk of being underdosed.
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Affiliation(s)
- Idoia Bilbao-Meseguer
- Department of Pharmacy, Cruces University Hospital, Plaza de Cruces 12, 48903 Barakaldo, Spain;
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de Investigación Lascaray Ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; (A.A.-L.); (A.R.-G.)
| | - Helena Barrasa
- Instituto de Investigación Sanitaria Bioaraba, 01009 Vitoria-Gasteiz, Spain; (H.B.); (J.M.); (G.B.)
- Intensive Care Unit, Araba University Hospital, Osakidetza Basque Health Service, 01009 Vitoria-Gasteiz, Spain
| | - Eduardo Asín-Prieto
- Inserm U1070: Pharmacologie des Anti-Infectieux, Pôle Biologie Santé, Université de Poitiers, Bâtiment B36, 1 Rue Georges Bonnet, 86022 Poitiers, France;
| | - Ana Alarcia-Lacalle
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de Investigación Lascaray Ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; (A.A.-L.); (A.R.-G.)
- Instituto de Investigación Sanitaria Bioaraba, Microbiology, Infectious Disease, Antimicrobial Agents, and Gene Therapy, 01006 Vitoria-Gasteiz, Spain
| | - Alicia Rodríguez-Gascón
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de Investigación Lascaray Ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; (A.A.-L.); (A.R.-G.)
- Instituto de Investigación Sanitaria Bioaraba, Microbiology, Infectious Disease, Antimicrobial Agents, and Gene Therapy, 01006 Vitoria-Gasteiz, Spain
| | - Javier Maynar
- Instituto de Investigación Sanitaria Bioaraba, 01009 Vitoria-Gasteiz, Spain; (H.B.); (J.M.); (G.B.)
- Intensive Care Unit, Araba University Hospital, Osakidetza Basque Health Service, 01009 Vitoria-Gasteiz, Spain
| | - José Ángel Sánchez-Izquierdo
- Intensive Care Unit, Doce de Octubre Hospital, Avda de Córdoba, s/n, 28041 Madrid, Spain; (J.Á.S.-I.); (M.S.-B.G.); (N.Q.T.)
| | - Goiatz Balziskueta
- Instituto de Investigación Sanitaria Bioaraba, 01009 Vitoria-Gasteiz, Spain; (H.B.); (J.M.); (G.B.)
- Intensive Care Unit, Araba University Hospital, Osakidetza Basque Health Service, 01009 Vitoria-Gasteiz, Spain
| | - María Sánchez-Bayton Griffith
- Intensive Care Unit, Doce de Octubre Hospital, Avda de Córdoba, s/n, 28041 Madrid, Spain; (J.Á.S.-I.); (M.S.-B.G.); (N.Q.T.)
| | - Nerea Quilez Trasobares
- Intensive Care Unit, Doce de Octubre Hospital, Avda de Córdoba, s/n, 28041 Madrid, Spain; (J.Á.S.-I.); (M.S.-B.G.); (N.Q.T.)
| | - María Ángeles Solinís
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de Investigación Lascaray Ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; (A.A.-L.); (A.R.-G.)
- Instituto de Investigación Sanitaria Bioaraba, Microbiology, Infectious Disease, Antimicrobial Agents, and Gene Therapy, 01006 Vitoria-Gasteiz, Spain
- Correspondence: (M.Á.S.); (A.I.)
| | - Arantxa Isla
- Pharmacokinetic, Nanotechnology and Gene Therapy Group (PharmaNanoGene), Faculty of Pharmacy, Centro de Investigación Lascaray Ikergunea, University of the Basque Country UPV/EHU, Paseo de la Universidad 7, 01006 Vitoria-Gasteiz, Spain; (A.A.-L.); (A.R.-G.)
- Instituto de Investigación Sanitaria Bioaraba, Microbiology, Infectious Disease, Antimicrobial Agents, and Gene Therapy, 01006 Vitoria-Gasteiz, Spain
- Correspondence: (M.Á.S.); (A.I.)
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