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Okada CR, Henthorn TK, Zuk J, Sempio C, Roosevelt G, Ruiz AG, Cohen MN, Chatterjee D, Galinkin JL. Population Pharmacokinetics of Single Bolus Dose Fentanyl in Obese Children. Anesth Analg 2024; 138:99-107. [PMID: 37801572 PMCID: PMC10840858 DOI: 10.1213/ane.0000000000006554] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
BACKGROUND Childhood obesity is a significant problem. Obesity may alter the pharmacokinetics (PKs) of medications. Fentanyl is commonly used for procedural sedation, but there is a paucity of bolus dose fentanyl PK data in obese children. Better understanding of fentanyl PK in obese children would facilitate dosing recommendations. We conducted a study involving children with and without obesity to assess the potential differences in bolus dose fentanyl PK between the 2 groups. METHODS We enrolled children 2 to 12 years of age with and without obesity, defined as >95th percentile body mass index (BMI) for age and sex, undergoing elective tonsillectomy ± adenoidectomy. After induction, subjects had 2 intravenous (IV) lines placed in 2 different extremities: 1 for medications and IV fluids and 1 for obtaining blood aliquots for fentanyl concentration analysis. After administration of 1 mcg/kg of fentanyl based on total body weight (TBW), blood sample collections for fentanyl concentration analysis were attempted at 5, 15, 30, 60, 90, and 120 minutes. Five-minute fentanyl concentrations were compared between obese and nonobese cohorts. Population PK analysis to examine the differences between obese and nonobese children was performed and included various body size descriptors, such as TBW, BMI, and fat-free mass (FFM), to examine their influence on model parameters. RESULTS Half of the 30 subjects were obese. Mean fentanyl concentrations at 5 minutes were 0.53 ng/mL for the nonobese group and 0.88 ng/mL for the obese group, difference 0.35 ng/mL (95% CI, 0.08-0.61 ng/mL; P = .01). Population PK analysis showed that FFM was a significant covariate for the central volume of distribution. The potential clinical effect of an IV bolus dose of fentanyl based on TBW versus FFM in an obese child was assessed in a simulation using our model. 1 mcg/kg fentanyl dose based on TBW resulted in an approximately 60% higher peak fentanyl effect site concentration than dosing based on FFM. CONCLUSIONS Our data demonstrated higher peak plasma fentanyl concentrations in obese compared to nonobese subjects. Population PK analysis found that FFM was a significant covariate for the central volume of distribution. Model simulation showed dosing of fentanyl in obese children based on TBW resulted in significantly higher peak concentrations than dosing based on FFM. Based on this modeling and the known concentration-effect relationship between fentanyl and adverse effects, our results suggest that bolus dosing of fentanyl in obese children should be based on FFM rather than TBW, particularly for procedures of short duration.
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Affiliation(s)
- Carol R Okada
- From the Division of Pediatric Critical Care, University of Colorado School of Medicine, Aurora, Colorado
| | - Thomas K Henthorn
- Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado
| | - Jeannie Zuk
- University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Cristina Sempio
- Department of Anesthesiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Genie Roosevelt
- Department of Emergency Medicine, University of Colorado School of Medicine, Aurora, Colorado
| | - Amanda G Ruiz
- New York Medical College School of Medicine, Tarrytown, New York
| | - Mindy N Cohen
- New York Medical College School of Medicine, Tarrytown, New York
| | - Debnath Chatterjee
- Department of Anesthesiology, Children's Hospital Colorado/University of Colorado Anschutz Medical Campus, Aurora, Colorado
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Pan X, Wang L, Liu J, Earp JC, Yang Y, Yu J, Li F, Bi Y, Bhattaram A, Zhu H. Model-Informed Approaches to Support Drug Development for Patients With Obesity: A Regulatory Perspective. J Clin Pharmacol 2023; 63 Suppl 2:S65-S77. [PMID: 37942906 DOI: 10.1002/jcph.2349] [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: 07/10/2023] [Accepted: 09/13/2023] [Indexed: 11/10/2023]
Abstract
Obesity, which is defined as having a body mass index of 30 kg/m2 or greater, has been recognized as a serious health problem that increases the risk of many comorbidities (eg, heart disease, stroke, and diabetes) and mortality. The high prevalence of individuals who are classified as obese calls for additional considerations in clinical trial design. Nevertheless, gaining a comprehensive understanding of how obesity affects the pharmacokinetics (PK), pharmacodynamics (PD), and efficacy of drugs proves challenging, primarily as obese patients are seldom selected for enrollment at the early stages of drug development. Over the past decade, model-informed drug development (MIDD) approaches have been increasingly used in drug development programs for obesity and its related diseases as they use and integrate all available sources and knowledge to inform and facilitate clinical drug development. This review summarizes the impact of obesity on PK, PD, and the efficacy of drugs and, more importantly, provides an overview of the use of MIDD approaches in drug development and regulatory decision making for patients with obesity: estimating PK, PD, and efficacy in specific dosing scenarios, optimizing dose regimen, and providing evidence for seeking new indication(s). Recent review cases using MIDD approaches to support dose selection and provide confirmatory evidence for effectiveness for patients with obesity, including pediatric patients, are discussed. These examples demonstrate the promise of MIDD as a valuable tool in supporting clinical trial design during drug development and facilitating regulatory decision-making processes for the benefit of patients with obesity.
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Affiliation(s)
- Xiaolei Pan
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Li Wang
- Division of Cardiometabolic and Endocrine Pharmacology, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Jiang Liu
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Justin C Earp
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Yuching Yang
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Jingyu Yu
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Fang Li
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Youwei Bi
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Atul Bhattaram
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Hao Zhu
- Division of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
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Impact of guided weight-based medication dosing in pediatric patients with obesity. J Am Pharm Assoc (2003) 2023; 63:873-877. [PMID: 36870938 DOI: 10.1016/j.japh.2023.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/06/2023] [Accepted: 02/09/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND Obesity is a common disease state within pediatrics, with 19.7% of children in the United States classified as obese. Medication dosing in this population is a challenge not commonly examined in clinical drug trials. Dosing based on total body weight may not always be appropriate; therefore, ideal body weight (IBW) and adjusted body weight (AdjBW) may provide more effective dosing. OBJECTIVE The goal was to implement a dosing protocol for pediatric patients with obesity to improve adherence. The primary endpoint was to evaluate adherence to evidence-based dosing recommendations and the secondary endpoints included cost saving analysis for immune globulin and accurate charting of IBW and AdjBW. METHODS This was a single center, quality improvement project composed of pre- and post-implementation groups. An IBW and AdjBW calculator were implemented in our electronic health record, as customized enhancements, along with specific weight ordering options. A literature search of pharmacokinetic and pharmacodynamic dosing recommendations based on IBW and AdjBW was conducted. For both groups, patients were included if they were 3-18 years old, had a body mass index greater than or equal to the 95th percentile, and if they received a specified medication. RESULTS A total of 618 patients were identified with 24 and 56 patients included for the pre- and post-implementation groups. There were no statistically significant differences in baseline characteristics of the comparator groups. The usage of correct body weight increased from 1.2% to 24.2% after implementation and education (P < 0.001). Cost savings was analyzed for immune globulin with the potential for a net savings of $9423 ± 3626.92. CONCLUSION Dosing medications for our pediatric patients with obesity improved with the implementation of calculated dosing weights in the electronic health record, provision of an evidence-based dosing chart, and education of providers.
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Zhang T, Krekels EHJ, Smit C, Knibbe CAJ. Drug pharmacokinetics in the obese population: challenging common assumptions on predictors of obesity-related parameter changes. Expert Opin Drug Metab Toxicol 2022; 18:657-674. [PMID: 36217846 DOI: 10.1080/17425255.2022.2132931] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Obesity is associated with many physiological changes. We review available evidence regarding five commonly accepted assumptions to a priori predict the impact of obesity on drug pharmacokinetics (PK). AREAS COVERED The investigated assumptions are: 1) lean body weight is the preferred descriptor of clearance and dose adjustments; 2) volume of distribution increases for lipophilic, but not for hydrophilic drugs; 3) CYP-3A4 activity is suppressed and UGT activity is increased, implying decreased and increased dose requirements for substrates of these enzyme systems, respectively; 4) glomerular filtration rate is enhanced, necessitating higher doses for drugs cleared through glomerular filtration; 5) drug dosing information from obese adults can be extrapolated to obese adolescents. EXPERT OPINION Available literature contradicts, or at least limits the generalizability, of all five assumptions. Clinical studies should focus on quantifying the impact of duration and severity of obesity on drug PK in adults and adolescents, and also include oral bioavailability and pharmacodynamics in these studies. Physiologically-based PK approaches can be used to predict PK changes for individual drugs, but can also be used to define in general terms based on patient characteristics and drug properties, when certain assumptions can or cannot be expected to be systematically accurate.
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Affiliation(s)
- Tan Zhang
- Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Elke H J Krekels
- Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Cornelis Smit
- Department of Clinical Pharmacy, Antonius Hospital Sneek, The Netherlands
| | - Catherijne A J Knibbe
- Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.,Department of Clinical Pharmacy, St. Antonius Hospital Nieuwegein, The Netherlands
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Gerhart JG, Carreño FO, Ford JL, Edginton A, Perrin EM, Watt KM, Muller WJ, Atz AM, Al‐Uzri A, Delmore P, Gonzalez D, Benjamin DK, Hornik C, Zimmerman K, Kennel P, Beci R, Dang Hornik C, Kearns GL, Laughon M, Paul IM, Sullivan J, Wade K, Delmore P, Taylor‐Zapata P, Lee J, Anand R, Sharma G, Simone G, Kaneshige K, Taylor L, Al‐Uzri A, Hornik C, Sokol G, Speicher D, Sullivan J, Mourani P, Mendley S, Meyer M, Atkins R, Flynn J, Vaughns J, Sherwin C, Delmore P, Goldstein S, Rathore M, Melloni C, Muller W, Delmore P, Tremoulet A, James L, Mendley S, Blackford M, Atz A, Adu‐Darko M, Mourani P, Watt K, Hornik C, Al‐Uzri A, Sullivan J, Laughon M, Brian Smith P, Watt K, Cheifetz I, Atz A, Bhatt‐Mehta V, Fernandez A, Lowry J. Use of
physiologically‐based
pharmacokinetic modeling to inform dosing of the opioid analgesics fentanyl and methadone in children with obesity. CPT Pharmacometrics Syst Pharmacol 2022; 11:778-791. [PMID: 35491971 PMCID: PMC9197535 DOI: 10.1002/psp4.12793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 03/18/2022] [Accepted: 03/22/2022] [Indexed: 11/12/2022] Open
Abstract
Obesity is an increasingly alarming public health threat, with nearly 20% of children classified as obese in the United States today. Children with obesity are commonly prescribed the opioids fentanyl and methadone, and accurate dosing is critical to reducing the risk of serious adverse events associated with overexposure. However, pharmacokinetic studies in children with obesity are challenging to conduct, so there is limited information to guide fentanyl and methadone dosing in these children. To address this clinical knowledge gap, physiologically‐based pharmacokinetic models of fentanyl and methadone were developed in adults and scaled to children with and without obesity to explore the interplay of obesity, age, and pharmacogenomics. These models included key obesity‐induced changes in physiology and pharmacogenomic effects. Model predictions captured observed concentrations in children with obesity well, with an overall average fold error of 0.72 and 1.08 for fentanyl and methadone, respectively. Model simulations support a reduced fentanyl dose (1 vs. 2 μg/kg/h) starting at an earlier age (6 years) in virtual children with obesity, highlighting the importance of considering both age and obesity status when selecting an infusion rate most likely to achieve steady‐state concentrations within the target range. Methadone dosing simulations highlight the importance of considering genotype in addition to obesity status when possible, as cytochrome P450 (CYP)2B6*6/*6 virtual children with obesity required half the dose to match the exposure of wildtype children without obesity. This physiologically‐based pharmacokinetic modeling approach can be applied to explore dosing of other critical drugs in children with obesity.
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Affiliation(s)
- Jacqueline G. Gerhart
- Division of Pharmacotherapy and Experimental Therapeutics, The University of North Carolina Eshelman School of Pharmacy The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | - Fernando O. Carreño
- Division of Pharmacotherapy and Experimental Therapeutics, The University of North Carolina Eshelman School of Pharmacy The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | - Jennifer L. Ford
- Division of Pharmacotherapy and Experimental Therapeutics, The University of North Carolina Eshelman School of Pharmacy The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
| | | | - Eliana M. Perrin
- Department of Pediatrics, School of Medicine and School of Nursing Johns Hopkins University Baltimore Maryland USA
| | - Kevin M. Watt
- Division of Pediatric Clinical Pharmacology, School of Medicine University of Utah Salt Lake City Utah USA
| | - William J. Muller
- Ann and Robert H. Lurie Children's Hospital of Chicago Chicago Illinois USA
| | - Andrew M. Atz
- Medical University of South Carolina Children's Hospital Charleston South Carolina USA
| | - Amira Al‐Uzri
- Oregon Health and Science University Portland Oregon USA
| | | | - Daniel Gonzalez
- Division of Pharmacotherapy and Experimental Therapeutics, The University of North Carolina Eshelman School of Pharmacy The University of North Carolina at Chapel Hill Chapel Hill North Carolina USA
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Wu B, Shan J, Zhou Q, Wang L. Determination of the ED 95 of a single bolus dose of dexmedetomidine for adequate sedation in obese or nonobese children and adolescents. Br J Anaesth 2021; 126:684-691. [PMID: 33495020 DOI: 10.1016/j.bja.2020.11.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Revised: 11/03/2020] [Accepted: 11/03/2020] [Indexed: 10/22/2022] Open
Abstract
BACKGROUND With the increasing prevalence of children who are overweight and with obesity, anaesthesiologists must determine the optimal dosing of medications given the altered pharmacokinetics and pharmacodynamics in this population. We therefore determined the single dose of dexmedetomidine that provided sufficient sedation in 95% (ED95) of children with and without obesity as measured by a minimum Ramsay sedation score (RSS) of 4. METHODS Forty children with obesity (BMI >95th percentile for age and gender) and 40 children with normal weight (BMI 25th-84th percentile), aged 3-17 yr, ASA physical status 1-2, undergoing elective surgery, were recruited. The biased coin design was used to determine the target dose. Positive responses were defined as achievement of adequate sedation (RSS ≥4). The initial dose for both groups was dexmedetomidine 0.3 μg kg-1 i.v. infusion for 10 min. An increment or decrement of 0.1 μg kg-1 was used depending on the responses. Isotonic regression and bootstrapping methods were used to determine the ED95 and 95% confidence intervals (CIs), respectively. RESULTS The ED95 of dexmedetomidine for adequate sedation in children with obesity was 0.75 μg kg-1 with 95% CI of 0.638-0.780 μg kg-1, overlapping the CI of the ED95 estimate of 0.74 μg kg-1 (95% CI: 0.598-0.779 μg kg-1) for their normal-weight peers. CONCLUSIONS The ED95 values of dexmedetomidine administered over 10 min were 0.75 and 0.74 μg kg-1 in paediatric subjects with and without obesity, respectively, based on total body weight. CLINICAL TRIAL REGISTRATION ChiCTR1800014266.
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Affiliation(s)
- Bin Wu
- Department of Anaesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
| | - Jiaqi Shan
- Department of Anaesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Quanhong Zhou
- Department of Anaesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
| | - Li Wang
- Department of Anaesthesiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
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Topjian AA, Raymond TT, Atkins D, Chan M, Duff JP, Joyner BL, Lasa JJ, Lavonas EJ, Levy A, Mahgoub M, Meckler GD, Roberts KE, Sutton RM, Schexnayder SM. Part 4: Pediatric Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation 2020; 142:S469-S523. [PMID: 33081526 DOI: 10.1161/cir.0000000000000901] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Dosage adjustment in obese children, even for common drugs, is largely unclear and a treat-to-effect approach may work best. DRUGS & THERAPY PERSPECTIVES 2020. [DOI: 10.1007/s40267-020-00734-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Ameer B, Weintraub MA. Dosing Common Medications in Hospitalized Pediatric Patients with Obesity: A Review. Obesity (Silver Spring) 2020; 28:1013-1022. [PMID: 32441477 DOI: 10.1002/oby.22739] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 12/17/2019] [Indexed: 12/31/2022]
Abstract
Medication management in children and adolescents with obesity is challenging because both developmental and pathophysiological changes may impact drug disposition and response. Evidence to date indicates an effect of obesity on drug disposition for certain drugs used in this population. This work identified published studies evaluating drug dosing, pharmacokinetics (PK), and effect in pediatric patients with obesity, focusing on 70 common medications used in a pediatric network of 42 US medical centers. A PubMed search revealed 33 studies providing PK and/or effectiveness data for 23% (16 of 70) of medications, 44% of which have just one study and can be considered exploratory. This work appraising 4 decades of literature shows several promising approaches: greater use of PK models applied to prospective clinical studies, dosing recommendations derived from both PK and safety, and multiyear effectiveness data on drugs for chronic conditions (e.g., asthma). Most studies make dose recommendations but are weakened by retrospective study design, small study populations, and no controls or historic controls. Dosing decisions continue to rely on extrapolating knowledge, including targeting systemic drug exposure typically achieved in adults. Optimal weight-based dosing strategies vary by drug and warrant prospective, controlled studies incorporating PK and modeling and simulation to complement clinical assessment.
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Affiliation(s)
- Barbara Ameer
- Department of Medicine, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, New Jersey, USA
| | - Michael A Weintraub
- Department of Medicine, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA
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Maharaj AR, Wu H, Zimmerman KO, Speicher DG, Sullivan JE, Watt K, Al-Uzri A, Payne EH, Erinjeri J, Lin S, Harper B, Melloni C, Hornik CP. Dosing of Continuous Fentanyl Infusions in Obese Children: A Population Pharmacokinetic Analysis. J Clin Pharmacol 2020; 60:636-647. [PMID: 31814149 PMCID: PMC7591270 DOI: 10.1002/jcph.1562] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 11/05/2019] [Indexed: 12/16/2022]
Abstract
Differences in fentanyl pharmacokinetics (PK) between obese and nonobese adults have previously been reported; however, the impact of childhood obesity on fentanyl PK is relatively unknown. We developed a population pharmacokinetic (PopPK) model using opportunistically collected samples from a cohort of predominately obese children receiving fentanyl per the standard of care. Using a probability-based approach, we evaluated the ability of different continuous infusion strategies to provide steady-state concentrations (Css ) within an analgesic concentration range (1-3 ng/mL). Fifty-three samples from 32 children were used for PopPK model development. Median (range) age and body weight of study participants were 13 years (2-19 years) and 52 kg (16-164 kg), respectively. The majority of children (94%) were obese. A 2-compartment model allometrically scaled by total body weight provided an appropriate fit to the data. Estimated typical clearance was 32.5 L/h (scaled to 70 kg). A fixed dose rate infusion of 1 µg/kg/h was associated with probabilities between 49% and 58% for achieving Css within target; however, the risk of achieving Css > 3 ng/mL increased with increasing body weight (15% at 16 kg vs 43% at 164 kg). A proposed model-based infusion strategy maintained consistent probabilities across the examined weight range for achieving Css within (58%) and above (20%) target. Use of an allometric relationship between weight and clearance was appropriate for describing the PK of intravenous fentanyl in our cohort of predominately obese children. Our proposed model-derived continuous infusion strategy maximized the probability of achieving target Css in children of varying weights.
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Affiliation(s)
- Anil R. Maharaj
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Huali Wu
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Kanecia O. Zimmerman
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - David G. Speicher
- Division of Pediatric Critical Care, Rainbow Babies and Children’s Hospital, Cleveland, OH, USA
| | - Janice E. Sullivan
- University of Louisville, Kosair Charities Pediatric Clinical Research Unit, and Norton Children’s Hospital, Louisville, KY, USA
| | - Kevin Watt
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
| | - Amira Al-Uzri
- Oregon Health and Science University, Portland, OR, USA
| | | | | | - Susan Lin
- The Emmes Company, LLC, Rockville, MD, USA
| | - Barrie Harper
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Chiara Melloni
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Christoph P. Hornik
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA
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11
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Mechanick JI, Apovian C, Brethauer S, Timothy Garvey W, Joffe AM, Kim J, Kushner RF, Lindquist R, Pessah-Pollack R, Seger J, Urman RD, Adams S, Cleek JB, Correa R, Figaro MK, Flanders K, Grams J, Hurley DL, Kothari S, Seger MV, Still CD. Clinical Practice Guidelines for the Perioperative Nutrition, Metabolic, and Nonsurgical Support of Patients Undergoing Bariatric Procedures - 2019 Update: Cosponsored by American Association of Clinical Endocrinologists/American College of Endocrinology, The Obesity Society, American Society for Metabolic and Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists. Obesity (Silver Spring) 2020; 28:O1-O58. [PMID: 32202076 DOI: 10.1002/oby.22719] [Citation(s) in RCA: 145] [Impact Index Per Article: 36.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 10/09/2019] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The development of these updated clinical practice guidelines (CPGs) was commissioned by the American Association of Clinical Endocrinologists (AACE), The Obesity Society (TOS), American Society for Metabolic and Bariatric Surgery (ASMBS), Obesity Medicine Association (OMA), and American Society of Anesthesiologists (ASA) Boards of Directors in adherence with the AACE 2017 protocol for standardized production of CPGs, algorithms, and checklists. METHODS Each recommendation was evaluated and updated based on new evidence from 2013 to the present and subjective factors provided by experts. RESULTS New or updated topics in this CPG include: contextualization in an adiposity-based chronic disease complications-centric model, nuance-based and algorithm/checklist-assisted clinical decision-making about procedure selection, novel bariatric procedures, enhanced recovery after bariatric surgery protocols, and logistical concerns (including cost factors) in the current health care arena. There are 85 numbered recommendations that have updated supporting evidence, of which 61 are revised and 12 are new. Noting that there can be multiple recommendation statements within a single numbered recommendation, there are 31 (13%) Grade A, 42 (17%) Grade B, 72 (29%) Grade C, and 101 (41%) Grade D recommendations. There are 858 citations, of which 81 (9.4%) are evidence level (EL) 1 (highest), 562 (65.5%) are EL 2, 72 (8.4%) are EL 3, and 143 (16.7%) are EL 4 (lowest). CONCLUSIONS Bariatric procedures remain a safe and effective intervention for higher-risk patients with obesity. Clinical decision-making should be evidence based within the context of a chronic disease. A team approach to perioperative care is mandatory, with special attention to nutritional and metabolic issues.
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Affiliation(s)
- Jeffrey I Mechanick
- Guideline Task Force Chair (AACE); Professor of Medicine, Medical Director, Marie-Josée and Henry R. Kravis Center for Clinical Cardiovascular Health at Mount Sinai Heart; Director, Metabolic Support Divisions of Cardiology and Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York; Past President, AACE and ACE
| | - Caroline Apovian
- Guideline Task Force Co-Chair (TOS); Professor of Medicine and Director, Nutrition and Weight Management, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
| | - Stacy Brethauer
- Guideline Task Force Co-Chair (ASMBS); Professor of Surgery, Vice Chair of Surgery, Quality and Patient Safety; Medical Director, Supply Chain Management, Ohio State University, Columbus, Ohio
| | - W Timothy Garvey
- Guideline Task Force Co-Chair (AACE); Butterworth Professor, Department of Nutrition Sciences, GRECC Investigator and Staff Physician, Birmingham VAMC; Director, UAB Diabetes Research Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Aaron M Joffe
- Guideline Task Force Co-Chair (ASA); Professor of Anesthesiology, Service Chief, Otolaryngology, Oral, Maxillofacial, and Urologic Surgeries, Associate Medical Director, Respiratory Care, University of Washington, Harborview Medical Center, Seattle, Washington
| | - Julie Kim
- Guideline Task Force Co-Chair (ASMBS); Harvard Medical School, Mount Auburn Hospital, Cambridge, Massachusetts
| | - Robert F Kushner
- Guideline Task Force Co-Chair (TOS); Professor of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Richard Lindquist
- Guideline Task Force Co-Chair (OMA); Director, Medical Weight Management, Swedish Medical Center; Director, Medical Weight Management, Providence Health Services; Obesity Medicine Consultant, Seattle, Washington
| | - Rachel Pessah-Pollack
- Guideline Task Force Co-Chair (AACE); Clinical Associate Professor of Medicine, Division of Endocrinology, Diabetes and Metabolism, NYU Langone Health, New York, New York
| | - Jennifer Seger
- Guideline Task Force Co-Chair (OMA); Adjunct Assistant Professor, Department of Family and Community Medicine, Long School of Medicine, UT Health Science Center, San Antonio, Texas
| | - Richard D Urman
- Guideline Task Force Co-Chair (ASA); Associate Professor of Anesthesia, Brigham and Women's Hospital, Boston, Massachusetts
| | - Stephanie Adams
- Writer (AACE); AACE Director of Clinical Practice Guidelines Development, Jacksonville, Florida
| | - John B Cleek
- Writer (TOS); Associate Professor, Department of Nutrition Sciences, University of Alabama, Birmingham, Alabama
| | - Riccardo Correa
- Technical Analysis (AACE); Assistant Professor of Medicine and Endocrinology, Diabetes and Metabolism Fellowship Director, University of Arizona College of Medicine, Phoenix, Arizona
| | - M Kathleen Figaro
- Technical Analysis (AACE); Board-certified Endocrinologist, Heartland Endocrine Group, Davenport, Iowa
| | - Karen Flanders
- Writer (ASMBS); Massachusetts General Hospital Weight Center, Boston, Massachusetts
| | - Jayleen Grams
- Writer (AACE); Associate Professor, Department of Surgery, University of Alabama at Birmingham; Staff Surgeon, Birmingham VA Medical Center, Birmingham, Alabama
| | - Daniel L Hurley
- Writer (AACE); Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, Minnesota
| | - Shanu Kothari
- Writer (ASMBS); Fellowship Director of MIS/Bariatric Surgery, Gundersen Health System, La Crosse, Wisconsin
| | - Michael V Seger
- Writer (OMA); Bariatric Medical Institute of Texas, San Antonio, Texas, Clinical Assistant Professor, University of Texas Health Science Center, Houston, Texas
| | - Christopher D Still
- Writer (TOS); Medical Director, Center for Nutrition and Weight Management Director, Geisinger Obesity Institute; Medical Director, Employee Wellness, Geisinger Health System, Danville, Pennsylvania
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12
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Opioids: A Review of Pharmacokinetics and Pharmacodynamics in Neonates, Infants, and Children. Eur J Drug Metab Pharmacokinet 2020; 44:591-609. [PMID: 31006834 DOI: 10.1007/s13318-019-00552-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Pain management in the pediatric population is complex for many reasons. Mild pain is usually managed quite well with oral acetaminophen or ibuprofen. Situations involving more severe pain often require the use of an opioid, which may be administered by many different routes, depending on clinical necessity. Acute and chronic disease states, as well as the constantly changing maturational process, produce unique challenges at every level of pediatrics in dosing and management of all medications, especially with regard to high-risk opioids. Although there has been significant progress in the understanding of opioid pharmacokinetics and pharmacodynamics in neonates, infants, children, and adolescents, somewhat limited data exist from which necessary information, concerning the safe and effective use of these agents, may be drawn. The evidence here provided is intended to be helpful in directing the practitioner to patient-specific reasons for preferring one opioid over another. As our knowledge of opioids and their effects has grown, it has become clear that older medications like codeine and meperidine (pethidine) have very limited use in pediatrics. This review provides pharmacokinetic and pharmacodynamic evidence on the currently available opioids: morphine, fentanyl (and derivatives), codeine, meperidine, oxycodone, hydrocodone, hydromorphone, methadone, buprenorphine, butorphanol, nalbuphine, pentazocin, ketobemidone, tramadol, piritramide, naloxone and naltrexone. Morphine, being the most studied opioid analgesic, is the standard against which all others are compared. Pharmacokinetic parameters of morphine that have been found in neonates, i.e., higher volume of distribution, immature metabolic processes that develop at various rates, elimination that is variable based on age and weight, as well as treated and untreated disease processes, are an example of all opioids in the population discussed in this review. Outside the premature and neonatal population, the use of opioids in infants, children, and adolescents quickly begins to resemble the established values found in adults. As such, the concerns (risks) of these medications become comparable to those seen in adults.
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13
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A Modeling-Based Approach to Estimate Fentanyl Pharmacokinetics in Obese Critically Ill Children. Pediatr Crit Care Med 2019; 20:1208-1209. [PMID: 31804447 DOI: 10.1097/pcc.0000000000002163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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14
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Mechanick JI, Apovian C, Brethauer S, Garvey WT, Joffe AM, Kim J, Kushner RF, Lindquist R, Pessah-Pollack R, Seger J, Urman RD, Adams S, Cleek JB, Correa R, Figaro MK, Flanders K, Grams J, Hurley DL, Kothari S, Seger MV, Still CD. Clinical practice guidelines for the perioperative nutrition, metabolic, and nonsurgical support of patients undergoing bariatric procedures - 2019 update: cosponsored by American Association of Clinical Endocrinologists/American College of Endocrinology, The Obesity Society, American Society for Metabolic & Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists. Surg Obes Relat Dis 2019; 16:175-247. [PMID: 31917200 DOI: 10.1016/j.soard.2019.10.025] [Citation(s) in RCA: 256] [Impact Index Per Article: 51.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The development of these updated clinical practice guidelines (CPG) was commissioned by the American Association of Clinical Endocrinologists, The Obesity Society, the American Society of Metabolic and Bariatric Surgery, the Obesity Medicine Association, and the American Society of Anesthesiologists boards of directors in adherence to the American Association of Clinical Endocrinologists 2017 protocol for standardized production of CPG, algorithms, and checklists. METHODS Each recommendation was evaluated and updated based on new evidence from 2013 to the present and subjective factors provided by experts. RESULTS New or updated topics in this CPG include contextualization in an adiposity-based, chronic disease complications-centric model, nuance-based, and algorithm/checklist-assisted clinical decision-making about procedure selection, novel bariatric procedures, enhanced recovery after bariatric surgery protocols, and logistical concerns (including cost factors) in the current healthcare arena. There are 85 numbered recommendations that have updated supporting evidence, of which 61 are revised and 12 are new. Noting that there can be multiple recommendation statements within a single numbered recommendation, there are 31 (13%) Grade A, 42 (17%) Grade B, 72 (29%) Grade C, and 101 (41%) Grade D recommendations. There are 858 citations, of which 81 (9.4%) are evidence level (EL) 1 (highest), 562 (65.5%) are EL 2, 72 (8.4%) are EL 3, and 143 (16.7%) are EL 4 (lowest). CONCLUSIONS Bariatric procedures remain a safe and effective intervention for higher-risk patients with obesity. Clinical decision-making should be evidence-based within the context of a chronic disease. A team approach to perioperative care is mandatory with special attention to nutritional and metabolic issues.
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Affiliation(s)
- Jeffrey I Mechanick
- Marie-Josée and Henry R. Kravis Center for Clinical Cardiovascular Health at Mount Sinai Heart, New York, New York; Metabolic Support Divisions of Cardiology and Endocrinology, Diabetes, and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York.
| | - Caroline Apovian
- Nutrition and Weight Management, Boston University School of Medicine and Boston Medical Center, Boston, Massachusetts
| | | | - W Timothy Garvey
- Department of Nutrition Sciences, Birmingham VA Medical Center, Birmingham, Alabama; UAB Diabetes Research Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Aaron M Joffe
- University of Washington, Harborview Medical Center, Seattle, Washington
| | - Julie Kim
- Harvard Medical School, Mount Auburn Hospital, Cambridge, Massachusetts
| | - Robert F Kushner
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | | | - Rachel Pessah-Pollack
- Division of Endocrinology, Diabetes and Metabolism, NYU Langone Health, New York, New York
| | - Jennifer Seger
- Department of Family and Community Medicine, Long School of Medicine, UT Health Science Center, San Antonio, Texas
| | | | - Stephanie Adams
- American Association of Clinical Endocrinologists, Jacksonville, Florida
| | - John B Cleek
- Department of Nutrition Sciences, Birmingham VA Medical Center, Birmingham, Alabama
| | | | | | - Karen Flanders
- Massachusetts General Hospital Weight Center, Boston, Massachusetts
| | - Jayleen Grams
- Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama; Birmingham VA Medical Center, Birmingham, Alabama
| | - Daniel L Hurley
- Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, Minnesota
| | | | - Michael V Seger
- Bariatric Medical Institute of Texas, San Antonio, Texas, University of Texas Health Science Center, Houston, Texas
| | - Christopher D Still
- Center for Nutrition and Weight Management Director, Geisinger Obesity Institute, Danville, Pennsylvania; Employee Wellness, Geisinger Health System, Danville, Pennsylvania
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Kyler KE, Wagner J, Hosey-Cojocari C, Watt K, Shakhnovich V. Drug Dose Selection in Pediatric Obesity: Available Information for the Most Commonly Prescribed Drugs to Children. Paediatr Drugs 2019; 21:357-369. [PMID: 31432433 PMCID: PMC7681556 DOI: 10.1007/s40272-019-00352-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Obesity rates continue to rise in children, and little guidance exists regarding the need for adjustment away from total body weight-based doses for those prescribing drugs to this population of children. A majority of drugs prescribed to children with obesity result in either sub-therapeutic or supra-therapeutic concentrations, placing these children at risk for treatment failure and drug toxicities. In this review, we highlight available obesity-specific pharmacokinetic and dosing information for the most frequently prescribed drugs to children in the inpatient and outpatient clinical settings. We also comment on available dosing recommendations for drugs prescribed to treat common pediatric obesity-related comorbidities. This review highlights that there is no safe or proven 'rule of thumb,' for dosing drugs for children with obesity, and a striking lack of pharmacokinetic data to support the creation of dosing guidelines for children with obesity for the most commonly prescribed drugs. It is important that those prescribing for children with obesity are aware of these gaps in knowledge and of potential drug treatment failure or adverse events related to drug toxicity as a result of these knowledge gaps. Until more data are available, we recommend close monitoring of drug response and adverse events in children with obesity receiving commonly prescribed drugs.
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Affiliation(s)
- Kathryn E Kyler
- Children's Mercy Kansas City, 2401 Gillham Rd., Kansas City, MO, 64108, USA.
- University of Missouri Kansas City School of Medicine, Kansas City, MO, USA.
| | - Jonathan Wagner
- Children's Mercy Kansas City, 2401 Gillham Rd., Kansas City, MO, 64108, USA
- University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
| | | | - Kevin Watt
- Duke University Medical Center, Durham, NC, USA
| | - Valentina Shakhnovich
- Children's Mercy Kansas City, 2401 Gillham Rd., Kansas City, MO, 64108, USA
- University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
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16
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Nafiu OO, Mills K, Tremper KK. Some Cautionary Tales About Ideal Body Weight Dosing of Anesthetic Medications: It Is Not All That Ideal! Anesth Analg 2019; 127:586-588. [PMID: 29200076 DOI: 10.1213/ane.0000000000002662] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Olubukola O Nafiu
- From the Section of Pediatric Anesthesiology, Department of Anesthesiology, University of Michigan, Ann Arbor, Michigan
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17
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Pharmacokinetics of Fentanyl and Its Derivatives in Children: A Comprehensive Review. Clin Pharmacokinet 2019; 57:125-149. [PMID: 28688027 DOI: 10.1007/s40262-017-0569-6] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Fentanyl and its derivatives sufentanil, alfentanil, and remifentanil are potent opioids. A comprehensive review of the use of fentanyl and its derivatives in the pediatric population was performed using the National Library of Medicine PubMed. Studies were included if they contained original pharmacokinetic parameters or models using established routes of administration in patients younger than 18 years of age. Of 372 retrieved articles, 44 eligible pharmacokinetic studies contained data of 821 patients younger than 18 years of age, including more than 46 preterm infants, 64 full-term neonates, 115 infants/toddlers, 188 children, and 28 adolescents. Underlying diagnoses included congenital heart and pulmonary disease and abdominal disorders. Routes of drug administration were intravenous, epidural, oral-transmucosal, intranasal, and transdermal. Despite extensive use in daily clinical practice, few studies have been performed. Preterm and term infants have lower clearance and protein binding. Pharmacokinetics was not altered by chronic renal or hepatic disease. Analyses of the pooled individual patients' data revealed that clearance maturation relating to body weight could be best described by the Hill function for sufentanil (R 2 = 0.71, B max 876 mL/min, K 50 16.3 kg) and alfentanil (R 2 = 0.70, B max (fixed) 420 mL/min, K 50 28 kg). The allometric exponent for estimation of clearance of sufentanil was 0.99 and 0.75 for alfentanil clearance. Maturation of remifentanil clearance was described by linear regression to bodyweight (R 2 = 0.69). The allometric exponent for estimation of remifentanil clearance was 0.76. For fentanyl, linear regression showed only a weak correlation between clearance and bodyweight in preterm and term neonates (R 2 = 0.22) owing to a lack of data in older age groups. A large heterogeneity regarding study design, clinical setting, drug administration, laboratory assays, and pharmacokinetic estimation was observed between studies introducing bias into the analyses performed in this review. A limitation of this review is that pharmacokinetic data, based on different modes of administration, dosing schemes, and parameter estimation methods, were combined.
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18
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Adolescent Bariatric Surgery: Current Concepts and Future Directions. CURRENT SURGERY REPORTS 2019. [DOI: 10.1007/s40137-019-0232-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Smit C, De Hoogd S, Brüggemann RJM, Knibbe CAJ. Obesity and drug pharmacology: a review of the influence of obesity on pharmacokinetic and pharmacodynamic parameters. Expert Opin Drug Metab Toxicol 2018; 14:275-285. [PMID: 29431542 DOI: 10.1080/17425255.2018.1440287] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
INTRODUCTION The rising prevalence of obesity confronts clinicians with dosing problems in the (extreme) overweight population. Obesity has a great impact on key organs that play a role in the pharmacokinetics (PK) and pharmacodynamics (PD) of drugs, however the ultimate impact of these changes on how to adapt the dose may not always be known. Areas covered: In this review, physiological changes associated with obesity are discussed. An overview is provided on the alterations in absorption, distribution, drug metabolism and clearance in (morbid) obesity focusing on general principles that can be extracted from pharmacokinetic studies. Also, relevant pharmacodynamic considerations in obesity are discussed. Expert opinion: Over the last two decades, increased knowledge is generated on PK and PD in obesity. Future research should focus on filling in the knowledge gaps that remain, especially in connecting obesity-related physiological changes with changes in PK and/or PD and vice versa. Ultimately, this knowledge can be used to develop physiologically based PK and PD models on the basis of quantitative systems pharmacology principles. Moreover, efforts should focus on thorough prospective evaluation of developed model-based doses with subsequent implementation of these dosing recommendations in clinical practice.
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Affiliation(s)
- Cornelis Smit
- a Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands.,b Division of Pharmacology , Leiden Academic Centre for Drug Research, Leiden University , Leiden , the Netherlands
| | - Sjoerd De Hoogd
- a Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands
| | - Roger J M Brüggemann
- c Department of Pharmacy , Radboud University Medical Center , Nijmegen , The Netherlands
| | - Catherijne A J Knibbe
- a Department of Clinical Pharmacy , St. Antonius Hospital , Nieuwegein , The Netherlands.,b Division of Pharmacology , Leiden Academic Centre for Drug Research, Leiden University , Leiden , the Netherlands
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Correction to: Pharmacokinetics of Fentanyl and Its Derivatives in Children: A Comprehensive Review. Clin Pharmacokinet 2017; 57:393-417. [PMID: 29178007 DOI: 10.1007/s40262-017-0609-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Fentanyl and its derivatives sufentanil, alfentanil, and remifentanil are potent opioids. A comprehensive review of the use of fentanyl and its derivatives in the pediatric population was performed using the National Library of Medicine PubMed. Studies were included if they contained original pharmacokinetic parameters or models using established routes of administration in patients younger than 18 years of age. Of 372 retrieved articles, 44 eligible pharmacokinetic studies contained data of 821 patients younger than 18 years of age, including more than 46 preterm infants, 64 full-term neonates, 115 infants/toddlers, 188 children, and 28 adolescents. Underlying diagnoses included congenital heart and pulmonary disease and abdominal disorders. Routes of drug administration were intravenous, epidural, oral-transmucosal, intranasal, and transdermal. Despite extensive use in daily clinical practice, few studies have been performed. Preterm and term infants have lower clearance and protein binding. Pharmacokinetics was not altered by chronic renal or hepatic disease. Analyses of the pooled individual patients' data revealed that clearance maturation relating to body weight could be best described by the Hill function for sufentanil (R 2 = 0.71, B max 876 mL/min, K 50 16.3 kg) and alfentanil (R 2 = 0.70, B max (fixed) 420 mL/min, K 50 28 kg). The allometric exponent for estimation of clearance of sufentanil was 0.99 and 0.75 for alfentanil clearance. Maturation of remifentanil clearance was described by linear regression to bodyweight (R 2 = 0.69). The allometric exponent for estimation of remifentanil clearance was 0.76. For fentanyl, linear regression showed only a weak correlation between clearance and bodyweight in preterm and term neonates (R 2 = 0.22) owing to a lack of data in older age groups. A large heterogeneity regarding study design, clinical setting, drug administration, laboratory assays, and pharmacokinetic estimation was observed between studies introducing bias into the analyses performed in this review. A limitation of this review is that pharmacokinetic data, based on different modes of administration, dosing schemes, and parameter estimation methods, were combined.
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