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Rodríguez-Pombo L, Carou-Senra P, Rodríguez-Martínez E, Januskaite P, Rial C, Félix P, Alvarez-Lorenzo C, Basit AW, Goyanes A. Customizable orodispersible films: Inkjet printing and data matrix encoding for personalized hydrocortisone dosing. Int J Pharm 2024; 655:124005. [PMID: 38493841 DOI: 10.1016/j.ijpharm.2024.124005] [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: 02/02/2024] [Revised: 03/08/2024] [Accepted: 03/14/2024] [Indexed: 03/19/2024]
Abstract
The aim of this study was to exploit the versatility of inkjet printing to develop flexible doses of drug-loaded orodispersible films that encoded information in a data matrix pattern, and to introduce a specialised data matrix-generator software specifically focused on the healthcare sector. Pharma-inks (drug-loaded inks) containing hydrocortisone (HC) were developed and characterised based on their rheological properties and drug content. Different strategies were investigated to improve HC solubility: formation of β-cyclodextrin complexes, Soluplus® based micelles, and the use of co-solvent systems. The software automatically adapted the data matrix size and identified the number of layers for printing. HC content deposited in each film layer was measured, and it was found that the proportion of co-solvent used directly affected the drug solubility and simultaneously played a role in the modification of the viscosity and surface tension of the inks. The formation of β-cyclodextrin complexes improved the drug quantity deposited in each layer. On the contrary, micelle-based inks were not suitable for printing. Orodispersible films containing flexible and low doses of personalised HC were successfully prepared, and the development of a code generator software oriented to medical use provided an additional, innovative, and revolutionary advantage to personalised medicine safety and accessibility.
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Affiliation(s)
- Lucía Rodríguez-Pombo
- Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Paola Carou-Senra
- Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Erea Rodríguez-Martínez
- Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Patricija Januskaite
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK
| | - Carlos Rial
- FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao) CP 27543, Spain
| | - Paulo Félix
- CiTIUS, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Carmen Alvarez-Lorenzo
- Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Abdul W Basit
- Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao) CP 27543, Spain.
| | - Alvaro Goyanes
- Departamento de Farmacología, Farmacia y Tecnología Farmacéutica, I+D Farma (GI-1645), Facultad de Farmacia, Instituto de Materiales (iMATUS) and Health Research Institute of Santiago de Compostela (IDIS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain; Department of Pharmaceutics, UCL School of Pharmacy, University College London, 29-39 Brunswick Square, London WC1N 1AX, UK; FABRX Ltd., Henwood House, Henwood, Ashford, Kent TN24 8DH, UK; FABRX Artificial Intelligence, Carretera de Escairón, 14, Currelos (O Saviñao) CP 27543, Spain.
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Velliou M, Sanidas E, Diakantonis A, Ventoulis I, Parissis J, Polyzogopoulou E. The Optimal Management of Patients with Atrial Fibrillation and Acute Heart Failure in the Emergency Department. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:2113. [PMID: 38138216 PMCID: PMC10744575 DOI: 10.3390/medicina59122113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
Atrial fibrillation (AF) and acute heart failure (AHF) are two closely interrelated conditions that frequently coexist in a manifold manner, with AF serving either as the causative factor or as the consequence or even as an innocent bystander. The interplay between these two clinical conditions is complex, given that they share common pathophysiological pathways and they can reciprocally exacerbate each other, thus triggering a vicious cycle that worsens the prognosis and increases the thromboembolic risk. The optimal management of AF in the context of AHF in the emergency department remains a challenge depending on the time onset, as well as the nature and the severity of the associated symptoms. Acute rate control, along with early rhythm control, when indicated, and anticoagulation represent the main pillars of the therapeutic intervention. The purpose of this review is to elucidate the pathophysiological link between AF and AHF and accordingly present a stepwise algorithmic approach for the management of AF in AHF patients in the emergency setting.
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Affiliation(s)
- Maria Velliou
- Emergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece; (M.V.); (A.D.); (J.P.)
| | - Elias Sanidas
- Department of Cardiology, Laiko General Hospital, 11527 Athens, Greece;
| | - Antonis Diakantonis
- Emergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece; (M.V.); (A.D.); (J.P.)
| | - Ioannis Ventoulis
- Department of Occupational Therapy, University of Western Macedonia, 50200 Ptolemaida, Greece;
| | - John Parissis
- Emergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece; (M.V.); (A.D.); (J.P.)
| | - Effie Polyzogopoulou
- Emergency Medicine Department, Attikon University Hospital, 12462 Athens, Greece; (M.V.); (A.D.); (J.P.)
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Salcedo-Mingoarranz AL, Medellín-Garibay SE, Barcia-Hernández E, García-Díaz B. Population Pharmacokinetics of Digoxin in Nonagenarian Patients: Optimization of the Dosing Regimen. Clin Pharmacokinet 2023; 62:1725-1738. [PMID: 37816957 DOI: 10.1007/s40262-023-01313-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/22/2023] [Indexed: 10/12/2023]
Abstract
OBJECTIVE The aim of this study was to develop a population pharmacokinetic model of digoxin in patients over 90 years old and to propose an equation for adjusting digoxin dose in this population. METHODS We included 326 nonagenarian patients admitted to Severo Ochoa University Hospital (Spain) who received digoxin and were under therapeutic drug monitoring. All data were retrospectively collected, and population modeling was performed with non-linear mixed-effect modeling software (NONMEM®). One- and two-compartment models were tested to calculate digoxin clearance (Cl), volume of distribution (Vd), absorption rate constant (Ka), and bioavailability (bioavailable fraction, F). The covariates were evaluated by stepwise covariate model building, and the final model was internally validated by bootstrap analysis with 1000 resamples. External validation was performed with another population of 95 patients with the same characteristics as the modeling group. RESULTS The population was 26% males, with a mean age of 93.2 years (90-103 years), mean creatinine 1.11 mg/dL (0.42-3.81 mg/dL), and mean total body weight 61.2 kg (40-100 kg). The pharmacokinetics of digoxin were best described by a one-compartment model (ADVAN2 TRANS2), with first-order conditional estimation with interaction. The covariates with influence on our model were creatinine clearance based on the Cockcroft-Gault equation (CG), serum potassium (K), co-administration of loop diuretics, and sex: Cl/F = 4.55 · (CG/36.4)0.468 · 0.83LD · 1.21SEX; Vd/F = 355 · (K/4.3)-0.849; Ka = 1.22 h-1 [where LD indicates loop diuretics (1 for administered, 0 for otherwise) and SEX indicates patient sex (1 for male, 0 for female)]. Based on our results, we proposed an equation to adjust the digoxin dosing regimen in nonagenarian patients: dose (mg) = 0.144 · (CG/36.4)0.468 · 0.83LD · 1.21SEX. CONCLUSIONS The greatest influence on digoxin clearance came from renal function calculated by the Cockcroft-Gault equation. Vd was decreased by K. The model developed showed a precise predictive performance to be applied for therapeutic drug monitoring.
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Affiliation(s)
| | - Susanna Edith Medellín-Garibay
- Department of Pharmacy and Drug Technology, Faculty of Chemical Sciences, Universidad Autónoma de San Luis Potosí, San Luis Potosí, Mexico
| | - Emilia Barcia-Hernández
- Department of Pharmaceutics and Food Technology, Faculty of Pharmacy, Universidad Complutense de Madrid, Ciudad Universitaria s/n, 28040, Madrid, Spain
| | - Benito García-Díaz
- Pharmacy Department, Severo Ochoa University Hospital, Avenida Orellana s/n, 28911, Leganés, Spain
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Lin ZQ, Guo L, Zhang LM, Lu JJ, Jiang X. Dosage Optimization of Digoxin in Older Patients with Heart Failure and Chronic Kidney Disease: A Population Pharmacokinetic Analysis. Drugs Aging 2023; 40:539-549. [PMID: 37157010 DOI: 10.1007/s40266-023-01026-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/27/2023] [Indexed: 05/10/2023]
Abstract
BACKGROUND Renal function is an important index for digoxin dose adjustment, especially in patients with chronic kidney disease (CKD). Decreased glomerular filtration rate is common in older patients with cardiovascular disease. OBJECTIVE The aim of this study was to establish a digoxin population pharmacokinetic model in older patients with heart failure and CKD and to optimize the digoxin dose strategy. METHODS Older patients with heart failure and CKD aged > 60 years from January 2020 to January 2021 and who had an estimated glomerular filtration rate (eGFR) < 90 mL/min/1.73 m2 or urine protein production were enrolled in this retrospective study. Population pharmacokinetic analysis and Monte Carlo simulations (n = 1000) were performed using NONMEN software. The precision and stability of the final model were analyzed by graphical and statistical methods. RESULTS Overall, 269 older patients with heart failure were enrolled. A total of 306 digoxin concentrations were collected, with a median value of 0.98 ng/mL (interquartile range [IQR] 0.62-1.61, range 0.04-4.24). The median age was 68 years (IQR 64-71, range 60-94) and eGFR was 53.6 mL/min/1.73 m2 (IQR 38.1-65.2, range 11.4-89.8). A one-compartment model with first-order elimination was developed to describe the digoxin pharmacokinetics. Typical values for clearance and volume of distribution were 2.67 L/h and 36.9 L, respectively. Dosage simulations were stratified by eGFR and metoprolol. Doses of 62.5 and 125 μg were recommended for older patients with eGFR < 60 mL/min/1.73 m2. CONCLUSIONS A population pharmacokinetic model of digoxin in older patients with heart failure and CKD was established in this study. A novel digoxin dosage strategy was recommended in this vulnerable population.
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Affiliation(s)
- Zhong-Qiu Lin
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Ling Guo
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Li-Min Zhang
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Jie-Jiu Lu
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
| | - Xia Jiang
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Road, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.
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