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1.
Sci Rep ; 14(1): 13357, 2024 06 11.
Article in English | MEDLINE | ID: mdl-38858493

ABSTRACT

The development of technology and the processing speed of computing machines have facilitated the evaluation of advanced pharmacokinetic (PK) models, making modeling processes simple and faster. The present model aims to analyze the PK of brivaracetam (BRV) in healthy and diseased populations. A comprehensive literature review was conducted to incorporate the BRV plasma concentration data and its input parameters into PK-Sim software, leading to the creation of intravenous (IV) and oral models for both populations. The developed physiologically based pharmacokinetic (PBPK) model of BRV was then assessed using the visual predictive checks, mean observed/predicted ratios (Robs/pre), and average fold error for PK parameters including the maximum systemic concentration (Cmax), the area under the curve at time 0 to t (AUC0-∞), and drug clearance (CL). The PBPK model of BRV demonstrated that mean Robs/pre ratios of the PK parameters remained within the acceptable limits when assessed against a twofold error margin. Furthermore, model predictions were carried out to assess how AUC0-∞ is affected following the administration of BRV in individuals with varying degrees of liver cirrhosis, ranging from different child-pugh (CP) scores like A, B, and C. Moreover, dose adjustments were recommended by considering the variations in Cmax and CL in various kidney disease stages (mild to severe).


Subject(s)
Models, Biological , Pyrrolidinones , Humans , Pyrrolidinones/pharmacokinetics , Pyrrolidinones/administration & dosage , Area Under Curve , Administration, Oral , Male , Adult , Administration, Intravenous
2.
Xenobiotica ; 54(4): 171-181, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38517680

ABSTRACT

Cefaclor is a bactericidal antibiotic recommended for treating diverse types of infections. This review aims to comprehensively assess the pharmacokinetic (PK) data on cefaclor in humans.Google Scholar, PubMed, Cochrane Library, and EBSCO databases were systematically performed to identify all the relevant studies containing at least one reported PK parameter of cefaclor.Cefaclor shows the linear PK profile as the area under the plasma concentration-time curve from 0 to t (AUC0-t) and maximum plasma concentration (Cmax) increase in a dose-dependent manner. The AUC0-t of cefaclor in the rice diet was found to be higher than that of bread food, i.e. 19.9 ± 2.6 ug/ml.hr vs 15.4 ± 4 ug/ml.hr. The AUC in paediatrics during the fed state was significantly higher compared to that in adults. Patients with renal impairments showed a Cmax 2.2 times higher than that of normal subjects. A significant increase in Cmax was depicted among individuals following a vegetarian diet in comparison with the non-vegetarian diet. Moreover, cefaclor exhibits time-dependent killing above the minimum inhibitory concentration (MIC < 2 ug), favouring its use in treating infections caused by specific pathogens.This systematic review summarises all the reported PK parameters of cefaclor in healthy and diseased subjects in the literature. This data can help practitioners in adjusting cefaclor doses among different diseases and populations to avoid drug interactions and adverse effects.


Subject(s)
Anti-Bacterial Agents , Cefaclor , Humans , Anti-Bacterial Agents/pharmacokinetics , Cefaclor/pharmacokinetics , Cephalosporins/pharmacokinetics , Bacterial Infections/drug therapy
3.
Expert Opin Drug Metab Toxicol ; 20(1-2): 95-105, 2024.
Article in English | MEDLINE | ID: mdl-38270999

ABSTRACT

INTRODUCTION: Physiologically based pharmacokinetic (PBPK) modeling is a paradigm shift in this era for determining the exposure of drugs in pediatrics, geriatrics, and patients with chronic diseases where clinical trials are difficult to conduct. AREAS COVERED: This review has collated data regarding published PBPK models on chronic kidney disease (CKD), including the drug and system-specific input model parameters and model evaluation criteria. Four databases were used from 13th June 2023 to 10th July 2023 for identifying the relevant studies that met the inclusion/exclusion criteria. Alterations in plasma protein (albumin/alpha-1 acid glycoprotein), gastric emptying time, hematocrit, small intestinal transit time, the abundance of cytochrome (CYP) 450 enzymes, glomerular filtration rate, and physicochemical parameters for different drugs were explicitly elaborated from earlier reported studies. Moreover, model evaluation depicted that models in CKD for most of the included drugs were within the allowed two-fold error range. EXPERT OPINION: This review will provide insights for researchers on applying PBPK models in managing patients with different levels of CKD to prevent undesirable side effects and increase the effectiveness of drug therapy.


Subject(s)
Models, Biological , Renal Insufficiency, Chronic , Humans , Child , Computer Simulation , Glomerular Filtration Rate
4.
Ther Drug Monit ; 46(3): 309-320, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38176856

ABSTRACT

PURPOSE: Torasemide is a potassium-sparing loop diuretic used to treat fluid retention associated with congestive heart failure and kidney and hepatic diseases. This systematic review was conducted to combine all accessible data on the pharmacokinetics (PK) of torasemide in healthy and diseased populations, which may help clinicians avert adverse drug reactions and determine the correct dosage regimen. METHODS: Four databases were systematically searched to screen for studies associated with the PK of torasemide, and 21 studies met the eligibility criteria. The review protocol was registered in the PROSPERO database (CRD42023390178). RESULTS: A decrease in maximum plasma concentration (C max ) was observed for torasemide after administration of the prolonged-release formulation in comparison to that after administration of the immediate-release formulation, that is, 1.12 ± 0.17 versus 1.6 ± 0.2 mcg/mL. After administering an oral dose of torasemide, a 2-fold increase in the area under the concentration-time curve (AUC) was reported in patients with congestive heart failure compared with the healthy population. Moreover, the patients with renal failure (clearance < 30 mL/min) showed an increase in value of AUC 0-∞ that is, 42.9 versus 8.091 mcg.h -1 .mL -1 compared with healthy subjects. In addition, some studies have reported interactions with different drugs, in which irbesartan showed a slight increase in the AUC 0-∞ of torasemide, whereas losartan and empagliflozin did not. CONCLUSIONS: The current review summarizes all available PK parameters of torasemide that may be beneficial for avoiding drug-drug interactions in subjects with renal and hepatic dysfunction and for predicting doses in patients with different diseases.


Subject(s)
Torsemide , Humans , Torsemide/pharmacokinetics , Heart Failure/drug therapy , Diuretics/pharmacokinetics , Area Under Curve , Delayed-Action Preparations/pharmacokinetics
5.
Expert Opin Drug Metab Toxicol ; 19(12): 991-1003, 2023 Dec.
Article in English | MEDLINE | ID: mdl-38008954

ABSTRACT

INTRODUCTION: Vildagliptin, a dipeptidyl peptidase-4 inhibitor, is indicated to cure type 2 diabetes mellitus (T2DM). This systematic literature search aims to assess the current knowledge about the clinical pharmacokinetics (PK) of vildagliptin to provide recommendations for clinical use to prevent the harmful effects of this drug. METHODS: The PubMed, Science Direct, EBSCO, Cochrane Central Register of Controlled Trials, and Google Scholar databases were screened for articles related to the clinical PK of vildagliptin using systematic search strategies. RESULTS: The literature search identified 2118 records, among which 28 were subsumed in this systematic review that fulfilled the inclusion standards. CONCLUSIONS: This systematic review can help dose optimization among critically ill patients (e.g. renal impairment) without exposing them to the drug's toxic effects.


Subject(s)
Diabetes Mellitus, Type 2 , Dipeptidyl-Peptidase IV Inhibitors , Vildagliptin , Humans , Diabetes Mellitus, Type 2/drug therapy , Dipeptidyl-Peptidase IV Inhibitors/adverse effects , Dipeptidyl-Peptidase IV Inhibitors/pharmacokinetics , Vildagliptin/adverse effects , Vildagliptin/pharmacokinetics
6.
Drug Metab Rev ; 55(4): 428-440, 2023 11.
Article in English | MEDLINE | ID: mdl-37849071

ABSTRACT

Nebivolol is a beta-1 receptor blocker used to treat hypertension, heart failure, erectile dysfunction, vascular disease, and diabetes mellitus. This review investigated the data regarding pharmacokinetic (PK) parameters, drug-drug interactions, dextrorotatory (D), and levorotatory (L) stereoisomers of nebivolol. The articles related to the PK of nebivolol were retrieved by searching the five databases; Google Scholar, PubMed, Cochrane Library, ScienceDirect, and EBSCO. A total of 20 studies comprising plasma concentration-time profile data following the nebivolol's oral and intravenous (IV) administration were included. The area under the concentration-time curve from zero to infinity (AUC0-∞) was 15 times greater in poor metabolizers (PMs) than in extensive metabolizers (EMs). In hypertensive patients, L-nebivolol expressed a higher maximum plasma concentration (Cmax) than D-nebivolol, i.e. 2.5 ng/ml vs 1.2 ng/ml. The AUC0-∞ of nebivolol was 3-fold greater in chronic kidney disease (CKD). The clearance (CL) was increased in obese than in controls from 51.6 ± 11.6 L/h to 71.6 ± 17.4 L/h when 0.5 mg/ml IV solution was infused. Nebivolol showed higher Cmax, AUC0-∞ and half-life (t1/2) when co-administered with bupropion, duloxetine, fluvoxamine, paroxetine, lansoprazole, and fluoxetine. This concise review of nebivolol would be advantageous in assessing all PK parameters, which may be crucial for clinicians to avoid drug-drug interactions, prevent adverse drug events and optimize the dosage regimen in diseased patients diagnosed with hypertension and cardiovascular disorders.


Subject(s)
Hypertension , Male , Humans , Nebivolol/pharmacokinetics , Nebivolol/therapeutic use , Hypertension/drug therapy , Fluvoxamine/therapeutic use , Lansoprazole/therapeutic use , Drug Interactions
7.
ACS Omega ; 8(32): 29302-29313, 2023 Aug 15.
Article in English | MEDLINE | ID: mdl-37599939

ABSTRACT

The evolution in the development of drugs has increased the popularity of physiologically based pharmacokinetic (PBPK) models. This study seeks to assess the PK of metoprolol in populations with healthy, chronic kidney disease (CKD), and acute myocardial infarction (AMI) conditions by developing and evaluating PBPK models. An extensive literature review for identifying and selecting plasma concentration vs time profile data and other drug-related parameters was undergone for their integration into the PK-Sim program followed by the development of intravenous, oral, and diseased models. The developed PBPK model of metoprolol was then evaluated using the visual predictive checks, mean observed/predicted ratios (Robs/pre), and average fold error for all PK parameters, i.e., the area under the curve (AUC), maximal plasma concentration, and clearance. The model evaluation depicted that none of the PK parameters were out of the allowed range (2-fold error) in the case of the mean Robs/pre ratios. The model anticipations were executed to determine the influence of diseases on unbound and total AUC after the application of metoprolol in healthy, moderate, and severe CKD. The dosage reductions were also suggested based on differences in unbound and total AUC in different stages of CKD. The developed PBPK models have successfully elaborated the PK changes of metoprolol occurring in healthy individuals and those with renal and heart diseases (CKD & AMI), which may be fruitful for dose optimization among diseased patients.

8.
Saudi Pharm J ; 31(8): 101675, 2023 Aug.
Article in English | MEDLINE | ID: mdl-37576858

ABSTRACT

The physiologically based pharmacokinetic modeling (PBPK) approach can predict drug pharmacokinetics (PK) by combining changes in blood flow and pathophysiological alterations for developing drug-disease models. Cefepime hydrochloride is a parenteral cephalosporin that is used to treat pneumonia, sepsis, and febrile neutropenia, among other things. The current study sought to identify the factors that impact cefepime pharmacokinetics (PK) following dosing in healthy, diseased (CKD and obese), and pediatric populations. For model construction and simulation, the modeling tool PK-SIM was utilized. Estimating cefepime PK following intravenous (IV) application in healthy subjects served as the primary step in the model-building procedure. The prediction of cefepime PK in chronic kidney disease (CKD) and obese populations were performed after the integration of the relevant pathophysiological changes. Visual predictive checks and a comparison of the observed and predicted values of the PK parameters were used to verify the developed model. The results of the PK parameters were consistent with the reported clinical data in healthy subjects. The developed PBPK model successfully predicted cefepime PK as observed from the ratio of the observed and predicted PK parameters as they were within a two-fold error range.

9.
Xenobiotica ; 53(3): 149-162, 2023 Mar.
Article in English | MEDLINE | ID: mdl-37216497

ABSTRACT

Cefixime is an antibiotic from the cephalosporin class used to treat various bacterial infections. The purpose of performing this review is to thoroughly evaluate the pharmacokinetic (PK) data on cefiximeFive databases were systematically searched to identify studies on the PK of cefixime.A total of 38 articles meeting the eligibility criteria were included that provide data on concentration-time profiles or PK parameters such as peak plasma and serum concentration (Cmax), area under the curve (AUC), clearance (CL), and time to reach Cmax (tmax). A dose-dependent increase in AUC and Cmax of cefixime was depicted in healthy volunteers. The clearance of cefixime decreased according to the degree of renal insufficiency among haemodialysis patients. A significant difference in CL was found in comparing fasted and fed states. A biphasic decline in serum concentrations of cefixime was reported when it was taken without probenecid.This review compiles all the reports on the PK of cefixime in healthy and really impaired patients; the summarised information can be used to optimise cefixime dosing in different disease states. Moreover, cefixime has increased time above MIC value suggesting that it may be an effective treatment for infections caused by certain pathogens.


Subject(s)
Anti-Bacterial Agents , Cefotaxime , Humans , Cefixime , Cefotaxime/pharmacokinetics , Cephalosporins , Biological Availability
10.
Pharmaceutics ; 15(4)2023 Apr 15.
Article in English | MEDLINE | ID: mdl-37111735

ABSTRACT

Hydroxychloroquine (HCQ), a congener of chloroquine, is widely used in prophylaxis and the treatment of malaria, and also as a cure for rheumatoid arthritis, systemic lupus erythematosus, and various other diseases. Physiologically based pharmacokinetic modeling (PBPK) has attracted great interest in the past few years in predicting drug pharmacokinetics (PK). This study focuses on predicting the PK of HCQ in the healthy population and extrapolating it to the diseased populations, i.e., liver cirrhosis and chronic kidney disease (CKD), utilizing a systematically built whole-body PBPK model. The time vs. concentration profiles and drug-related parameters were obtained from the literature after a laborious search and in turn were integrated into PK-Sim software for designing healthy intravenous, oral, and diseased models. The model's evaluation was performed using observed-to-predicted ratios (Robs/Rpre) and visual predictive checks within a 2-fold error range. The healthy model was then extrapolated to liver cirrhosis and CKD populations after incorporating various disease-specific pathophysiological changes. Box-whisker plots showed an increase in AUC0-t in liver cirrhosis, whereas a decrease in AUC0-t was seen in the CKD population. These model predictions may assist clinicians in adjusting the administered HCQ doses in patients with different degrees of hepatic and renal impairment.

11.
Naunyn Schmiedebergs Arch Pharmacol ; 396(2): 213-227, 2023 02.
Article in English | MEDLINE | ID: mdl-36227333

ABSTRACT

Terbutaline is used for the management of bronchospasm associated with asthma, bronchitis, emphysema, and chronic obstructive pulmonary disease. A systematic review would be beneficial to assess the impact of routes of administration, stereoisomerism, disease states, smoking, age, exercise, and chronobiology on pharmacokinetics (PK) of terbutaline in humans. PubMed and Google Scholar databases were searched to screen all the relevant articles consisting of at least one of the PK parameters after administration of oral, inhaled, and intravenous (IV) terbutaline in humans. Oral studies of terbutaline depicted a linear relationship between plasma concentration (Cp) and the administered dose. The IV studies demonstrated multi-exponential behavior for disposition and renal clearance. Higher systemic availability was observed with inhaled as compared to oral route, and chrono-pharmacokinetic behavior was notable. Time to reach maximum plasma concentration (Tmax) was prolonged, and maximum plasma concentration (Cmax) was lowered after exercise. The primary route of excretion in chronic kidney disease (CKD) patients is reported to be nonrenal. In pregnant women, the Cp of terbutaline is lowered and clearance is increased. The addition of theophylline to terbutaline did not affect the PK of terbutaline; hence, both can be used without dose adjustment. This review summarizes all the available PK parameters of terbutaline, and it may be helpful for researchers in the development and evaluation of PK models as well as in designing optimal dosage regimens in different clinical conditions.


Subject(s)
Asthma , Terbutaline , Pregnancy , Humans , Female , Terbutaline/pharmacokinetics , Asthma/drug therapy , Theophylline/pharmacokinetics , Theophylline/therapeutic use , Kinetics , Administration, Intravenous
12.
Pharmaceutics ; 14(11)2022 Nov 02.
Article in English | MEDLINE | ID: mdl-36365181

ABSTRACT

Labetalol is a drug that exhibits both alpha and beta-adrenergic receptor-blocking properties. The American Heart Association/American Stroke Association (AHA/ASA) has recommended labetalol as an initial treatment option for the management of severe hypertension. The physiologically based pharmacokinetic (PBPK) model is an in silico approach to determining the pharmacokinetics (PK) of a drug by incorporating blood flow and tissue composition of the organs. This study was conducted to evaluate the primary reasons for the difference in PK after intravenous (IV) and oral administration in healthy and diseased (renal and hepatic) populations. A comprehensive literature search was done using two databases, PubMed and Google Scholar. Various PK parameters were screened for the development of the PBPK model utilizing a population-based PK-Sim simulator. Simulations were performed after creating building blocks firstly in healthy individuals and then in diseased patients after IV and oral administration. The disposition of labetalol after IV and oral administration occurring in patients with the hepatic and renal disease was predicted. The model was evaluated by calculating the Robs/pred ratio and average fold error (AFE), which was in the two-fold error range. Moreover, Box-whisker plots were made to compare the overall concentration of the drug in the body at various stages of disease severity. The presented model provides useful quantitative estimates of drug dosing in patients fighting against severe chronic diseases.

13.
Expert Opin Drug Metab Toxicol ; 18(10): 707-714, 2022 Oct.
Article in English | MEDLINE | ID: mdl-36150895

ABSTRACT

INTRODUCTION: Hydralazine is a vasodilator used to treat hypertension, pre-eclampsia, and heart failure. The current article reviews the clinical pharmacokinetics (PK) of hydralazine, which can be useful for clinicians in optimizing its dose and dosing frequency to avoid adverse effects and unexpected interactions that could risk patients' lives. AREAS COVERED: This review has summarized the PK parameters for hydralazine after performing an extensive literature search. It includes 20 publications that were selected after applying eligibility criteria out of a pool of literature that was searched using Google Scholar, PubMed, Cochrane Central, and EBSCO databases. The included studies consisted of concentration vs. time profiles of hydralazine. If the PK data were not tabulated in the given study, the concentration vs. time profiles were scanned for the extraction of the PK data. The PK parameters were calculated by applying a non-compartmental analysis (NCA). EXPERT OPINION: The current review will aid clinicians in understanding hydralazine PK in different disease populations. This clinical PK data might also be helpful in the development of a pharmacokinetic model of hydralazine.


Subject(s)
Drug-Related Side Effects and Adverse Reactions , Heart Failure , Hypertension , Pregnancy , Female , Humans , Hydralazine/pharmacokinetics , Hydralazine/therapeutic use , Vasodilator Agents , Hypertension/drug therapy , Heart Failure/drug therapy , Pharmacokinetics
14.
J Clin Pharm Ther ; 47(10): 1506-1516, 2022 Oct.
Article in English | MEDLINE | ID: mdl-36040016

ABSTRACT

WHAT IS KNOWN AND OBJECTIVE: Nadolol is a non-selective beta-adrenergic antagonist that is used for the treatment of hypertension and angina. The primary route for its administration is oral. It is given once daily as it has a longer half-life (t½). The purpose of conducting this systematic review is to provide a comprehensive view of all the available pharmacokinetic (PK) data on nadolol in humans. This review aimed to systematically collate and analyze publish data on the clinical PK of nadolol in humans and this can be beneficial for the clinicians in dosage adjustments. METHODS: Two electronic databases PubMed and Google Scholar were used for conducting a systematic literature search. All the relevant articles containing PK data of nadolol in humans were retrieved. A total of 1275 articles were searched from both databases and after applying eligibility criteria finally, 22 articles were included for conducting the systematic review. RESULTS AND DISCUSSION: The area under the plasma concentration curve (AUC) and maximum plasma concentration (Cmax ) of nadolol increased in a dose-dependent manner. The t½ of nadolol was increased to double (18.2-68.6 h) in the patients with chronic kidney disease while the serum t½ became shorter (3.2-4.3 h) when administered to the children. The bioavailability of nadolol was greatly reduced by the coadministration of green tea. Nadolol can be effectively removed by hemodialysis. It undergoes enterohepatic circulation thus activated charcoal decreased its bioavailability. WHAT IS NEW AND CONCLUSION: Since, there is no previous report of a systematic review on the PK of nadolol, the current review encompasses all the relevant published articles on nadolol in humans. The analysis and understanding of PK parameters (AUC, Cmax , and t½) of nadolol may be helpful in the development and evaluation of PK models.


Subject(s)
Antihypertensive Agents , Nadolol , Adrenergic beta-Antagonists , Charcoal , Child , Humans , Nadolol/pharmacokinetics , Tea
15.
Clin Pharmacokinet ; 61(8): 1095-1114, 2022 08.
Article in English | MEDLINE | ID: mdl-35764772

ABSTRACT

BACKGROUND: Metoprolol is recommended for therapeutic use in multiple cardiovascular conditions, thyroid crisis, and circumscribed choroidal hemangioma. A detailed systematic review on the metoprolol literature would be beneficial to assess all pharmacokinetic parameters in humans and their respective effects on patients with hepatic, renal, and cardiovascular diseases. This review combines all the pharmacokinetic data on metoprolol from various accessible studies, which may assist in clinical decision making. METHODOLOGY: The Google Scholar and PubMed databases were searched to screen articles associated with the clinical pharmacokinetics of metoprolol. The comprehensive literature search retrieved 41 articles including data on plasma concentration-time profiles after intravenous and oral (immediate-release, controlled-release, slow-release, or extended-release) routes of administration, and at least one pharmacokinetic parameter was reported in all studies included. RESULTS: Out of 41 retrieved articles, six were after intravenous and 12 were after oral administration in healthy individuals. The oral studies depict a dose-dependent increase in maximum plasma concentration (Cmax), time to reach maximum plasma concentration (Tmax), and area under the concentration-time curve (AUC). Two studies were conducted in R- and S-enantiomers, in which one study reported the gender differences, depicting greater Cmax and AUC among women, whereas in another study S-metoprolol was found to have higher values of Cmax, Tmax, and AUC in comparison with R-metoprolol. Results in different diseases depicted that after IV administration of 20 mg, patients with renal impairment showed an increase in clearance (CL) (60 L/h vs 48 L/h) compared with healthy subjects, whereas a decrease in CL (36.6 ± 7.8 L/h vs 48 ± 6.6 L/h) was seen in patients with hepatic cirrhosis at a similar dose. In comparison with a single oral dose following administration of 15 mg IV in three divided doses, patients having an acute myocardial infarction (AMI) showed an increase in Cmax (823 nmol/L vs 248 nmol/L) at a steady state. Twenty different studies have reported significant changes in CL, Cmax, and AUC of metoprolol when it is co-administered with other drugs. One study has reported a drug-food interaction for metoprolol but no significant changes were seen in the Cmax and AUC. CONCLUSION: This review summarizes all the pharmacokinetic parameters of metoprolol after pooling up-to-date data from all the studies available. The summarized pharmacokinetic data presented in this review can assist in developing and evaluating pharmacokinetic models of metoprolol. Moreover, this data can provide practitioners with an insight into dosage adjustments among the diseased populations and can assist in preventing potential adverse drug reactions. This review can also help avoid side effects and drug-drug interactions.


Subject(s)
Liver , Metoprolol , Administration, Oral , Area Under Curve , Female , Food-Drug Interactions , Humans , Metoprolol/pharmacokinetics
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