Therapeutic Doses Of Drug Research Articles

Liposome-Assisted Drug Delivery in the Treatment of Multiple Sclerosis

Multiple sclerosis (MS) is an immune-mediated demyelinating disease of the nervous system that leads to neurological dysfunctions and severe disabilities. It is worth noting that conventional pharmacotherapy is poorly selective and causes toxicity problems and several systemic side effects. Thus, there is a need to develop new approaches to this medical challenge. The use of nanocarriers for drug delivery represents a good strategy to overcome several issues such as high therapeutic drug doses with side effects, such as diarrhea, nausea, and abdominal pain, and drug degradation processes; in addition, nanocarriers can provide controlled and targeted drug release. This review describes the application of liposomes for the delivery of pharmaceutical actives to target MS. Firstly, MS is explained. Then, liposomes are described along with their preparation, characterization, and stability. The literature about the use of liposomes for the treatment of MS is then analyzed.

D.6 Neurological care and outcomes of pregnant patients with epilepsy in a Canadian tertiary care center (2014-2020)

Background: Limited data exists on neurological care and outcomes of Canadian pregnant patients with epilepsy (PPWE). This study provides Canadian data to inform practice patterns and observed outcomes for PPWE at a tertiary care center. Methods: PPWE receiving care at the University Health Network (Toronto, Canada) epilepsy clinic from January 1, 2014 to November 20 2020 were retrospectively identified with demographics and neurological data and outcomes collected. Results: A total of 195 cases were identified, with a median maternal age of 32 years (SD 4.58), a median age at first seizure of 17 years (range 1 month – 36 years old), 52% were diagnosed with genetic generalized epilepsy and 50% endorsed 6 months of seizure freedom prior to conception. In pregnancy, 93% took ASM(s) with 77% receiving therapeutic drug monitoring (TDM) and drug dose adjustments reported in 69%. Most cases (73%) maintained a stable seizure frequency. Conclusions: This study provides new Canadian data on PPWE at a tertiary care center. PPWE are overall well controlled, more likely to have young adult onset, genetic generalized epilepsy with nearly all taking ASM(s) during pregnancy. While high rates of TDM and drug dose adjustments were observed, most experienced seizure stability in pregnancy.

STUDY OF ACUTE AND SUB-ACUTE TOXICITY OF A MEDICATION BASED ON SPIDER VENOM EXTRACT

Homeopathy is a regulatory therapy. The effectiveness of homeopathic therapy does not depend on the dose of the drug, but on the frequency of its repetitions. The composition of homeopathic preparations includes a wide range of natural and synthetic active substances: minerals; chemical substances; substances of plant origin; microorganisms, including fungi, bacteria, viruses, and plant parasites; substances of animal origin; and human materials, which may include tissues, secretions, hormones, and genetically homogeneous cell lines. One such substance is an extract of spider venom (Tarantul cubensis D6), which remains active in pharmaceutical preparation for a long time. The drug is selectively absorbed in inflamed tissues, differentiating them from healthy cells and suppressing inflammation. The drug is also effective in necrotic and proliferative processes. It is used for the treatment of panaritium in the initial stage, skin ulcers, necrobacillosis, and necrosis of the soft tissues of the animal. Any materials of animal or human origin are potentially dangerous for human and animal health, as they may contain toxic or pathogenic substances. Therefore, the study of the acute and subacute toxicity of spider venom extract is one of the stages of establishing the toxicological parameters of the drug. The use of the drug in a therapeutic dose caused an increase in animal body weight, hemoglobin concentration, number of leukocytes, erythrocytes, hematocrit value, average erythrocyte volume (MCV), average hemoglobin content in erythrocytes (МСН), average concentration of hemoglobin in erythrocytes (МСНС), number of platelets, and AST activity against the background of a slight decrease in total protein content, creatinine, urea, and ALT activity. The use of the drug in a 10-fold therapeutic dose caused an increase in animal body weight, creatinine, urea, ALT, and AST activity against the background of a decrease in the concentration of hemoglobin, the number of leukocytes and erythrocytes, the value of hematocrit, the average volume of erythrocytes (MCV), the average content of hemoglobin in erythrocytes (МСН), the average concentration of hemoglobin in erythrocytes (МСНС), the number of platelets, and the content of total protein.

Population pharmacokinetics of nirmatrelvir in Chinese patients with COVID-19: Therapeutic drug monitoring and dosing regimen selection in clinical practice

ObjectivesTo establish a population pharmacokinetics (PopPK) model of nirmatrelvir in Chinese COVID-19 patients and provide reference for refining the dosing strategy of nirmatrelvir in patients confirmed to be infected with SARS-CoV-2. MethodsA total of 80 blood samples were obtained from 35 mild to moderate COVID-19 patients who were orally administered nirmatrelvir/ritonavir tablets. The PopPK model of nirmatrelvir was developed using a nonlinear mixed effects modelling approach. The stability and prediction of the final model were assessed through a combination of goodness-of-fit and bootstrap method. The exposure of nirmatrelvir across various clinical scenarios was simulated using Monte Carlo simulations. ResultsThe pharmacokinetics of nirmatrelvir was well characterised by a one-compartment model with first-order absorption, and with creatinine clearance (Ccr) as the significant covariate. Typical population parameter estimates of apparent clearance and distribution volume for a patient with a Ccr of 95.5 mL·min−1were 3.45 L·h−1 and 48.71 L, respectively. The bootstrap and visual predictive check procedures demonstrated satisfactory predictive performance and robustness of the final model. ConclusionThe final model was capable of offering an early prediction of drug concentration ranges for different nirmatrelvir dosing regimens and optimise the dose regimen of nirmatrelvir in individuals with confirmed SARS-CoV-2 infection.

Proactive therapeutic drug monitoring and vedolizumab dose optimization in children with inflammatory bowel disease.

Therapeutic drug monitoring (TDM) and dose optimization have been shown to improve clinical outcomes with antitumor necrosis factor and recent studies in adults suggest an exposure-response relationship with drug levels associated with improved clinical outcomes. However, these levels are not universally recognized as therapeutic targets for vedolizumab dosing. We aimed to assess the impact of a TDM quality improvement (QI) initiative on 52-week clinical outcomes and describe proactively obtained vedolizumab levels during the induction period in children with inflammatory bowel disease (IBD). A QI initiative to proactively obtain TDM levels at Week 6 was implemented in 2019. A retrospective review of pediatric patients with IBD treated with vedolizumab from 2018 to 2022 was performed. Baseline demographic data, medication dosing details, disease characteristics, lab results, and 12-month clinical outcomes were recorded. For this study, we defined therapeutic target levels (>20 μg/mL at Week 6 and >12 μg/mL during maintenance) based on existing data correlating these levels with improved clinical outcomes. Fifty-nine patients (31 Crohn disease [CD], 28 ulcerative colitis [UC]/indeterminate colitis [IC]) were included in the study. In total, 68% (40/59) of patients had vedolizumab levels at Week 6and 90% (53/59) had levels drawn at Week 6 or 14. Thirty-five percent of Week 6 trough levels were below our defined target of 20 μg/mL. Fifty-two of 59 patients had available data at 52 weeks. Over 80% (42/52) of patients remained on vedolizumab 52 weeks after initiation (CD 79% [23/29], UC/IC 83% [19/23]). Sixty-two percent (26/42) of patients that remained on vedolizumab at 52 weeks were treated with an intensified dosing interval of <8 weeks. Thirty-one of these 42 (74%) were in clinical remission (CR)rate at 52 weeks with 29/42 (69%) in corticosteroid-free remission. The CR rate for the entire cohort including those who discontinued therapy due to a lack of efficacy before 52 weeks was 60% (31/52). Proactive TDM and early dose optimization with vedolizumab may improve drug durability and clinical outcomes in pediatric patients with IBD.

An Extensive Analysis of Natural Bioenhancers: A Review

The concept of bioavailability enhancer is new to the modern system of medicine. Basically, this concept originated in Ayurveda and being used in this system of medicine since centuries. Chemical substances known as "bioenhancers" work to increase the bioavailability of medications when they are combined with them and do not have a synergistic impact on the drug. The bio‑enhancement leads to reduction in therapeutic dose of principal drug, thus reducing the possibilities of toxicity and side effects of drug, potentiating the efficacy, reducing the resistance, decreasing the requirement of raw material for drug manufacture, and ultimately benefitting to the world economy by reducing the manufacturing cost. A bioenhancers do not introduce its own therapeutic action with the actual active effect at the therapeutic dose used. Herbal bioenhancers are derived from both plant and animal origins. The compounds from plant origin majorly used as a bioenhancer are piperin, naringenin, niaziridin, quercitine, aloe, etc.

Striking the Balance: Bipolar Disorder in the Perinatal Period.

The authors reviewed the literature, published between 2018 and 2023, on treating bipolar disorder in the perinatal period in order to summarize current treatment perspectives. Mood episodes occur during pregnancy and there are high rates of both initial onset and recurrence in the postpartum period. Bipolar disorder itself is associated with higher risks of adverse pregnancy outcomes, including gestational hypertension, hemorrhage, cesarean delivery, and small for gestational age infants. A general principle of perinatal treatment includes maintaining psychiatric stability of the pregnant person while reducing medication exposure risk to the fetus. A variety of factors can compromise psychiatric stability, including rapid discontinuation of stabilizing medications, decreased efficacy due to physiologic changes of pregnancy, and exacerbation of underlying psychiatric illness. Psychosocial interventions include optimizing sleep, increasing support, and reducing stress. The American College of Obstetricians and Gynecologists recommends against discontinuing or withholding medications solely due to pregnancy or lactation status. Individualized treatment involves a discussion of the risks of undertreated bipolar disorder weighed against the risks of individual medication choice based on available evidence regarding congenital malformations, adverse neonatal and obstetrical events, and neurodevelopmental outcomes. Valproate is not a first-line treatment due to higher risks. Data are lacking on safety for many newer medications. The authors review current safety data regarding lithium, lamotrigine, and antipsychotics, which are the most commonly used treatments for managing bipolar disorder in the perinatal period. Due to physiologic changes during pregnancy, frequent therapeutic drug monitoring and dose adjustments are required.

Development and validation of a liquid chromatography coupled to a diode array detector (LC-DAD) method for measuring mitotane (DDD) in plasma samples

IntroductionMitotane (o,p’–DDD) is the drug of choice for Adrenocortical Carcinomas (ACC) and its measurement in plasma is essential to control drug administration. ObjectiveTo develop and validate a simple, reliable and straightforward method for mitotane determination in plasma samples. MethodDrug-free plasma samples were collected in potassium-ethylenediamine tetraacetate (K-EDTA) tubes and spiked with 1.0, 2.5, 10.0, 25.0 and 50.0 µg/mL of mitotane (DDD). The p,p’-DDD was used as an Internal Standard (IS) and was added at 25.0 µg/mL concentration to all samples, standards and controls. Samples were submitted to protein precipitation with acetonitrile and then centrifuged. 50 uL of the supernatant was injected into an HPLC system coupled to a Diode Array Detector (DAD). DDD and IS were detected at 230 nm in a 12 min isocratic mode with a solvent mixture of 60 % acetonitrile and 40 % formic acid in water with 0.1 % pump mixed, at 0.6 mL/min flow rate, in a reversed-phase (C18) chromatographic column kept at 28°C. The sensitivity, selectivity, precision, presence of carry-over, recovery and matrix-effect, linearity, and method accuracy were evaluated. ResultsThe present study's method resulted in a symmetrical peak shape and good baseline resolution for DDD (mitotane) and 4,4’-DDD (internal standard) with retention times of 6.0 min, 6.4 mim, respectively, with resolutions higher than 1.0. Endogenous plasma compounds did not interfere with the evaluated peaks when blank plasma and spiked plasma with standards were compared. Linearity was assessed over the range of 1.00–50.00 µg/mL for mitotane (R2 > 0.9987 and a 97.80 %‒105.50 % of extraction efficiency). Analytical sensitivity was 0.98 µg/mL. Functional sensitivity (LOQ) was 1.00 µg/L, intra-assay and inter-assay coefficient of variations were less than 9.98 %, and carry-over was not observed for this method. Recovery ranged from 98.00 % to 117.00 %, linearity ranged from 95.00 % to 119.00 %, and high accuracy of 89.40 % to 105.90 % with no matrix effects or interference was observed for mitotane measurements. Patients' sample results were compared with previous measurements by the GC-MS method with a high correlation (r = 0.88 and bias = -10.20 %). ConclusionDDD determination in plasma samples by the developed and validated method is simple, robust, efficient, and sensitive for therapeutic drug monitoring and dose management to achieve a therapeutic index of mitotane in patients with adrenocortical cancer.

Light-activatable and hyperthermia-sensitive "all-in-one" theranostics: NIR-II fluorescence imaging and chemo-photothermal therapy of subcutaneous glioblastoma by temperature-sensitive liposome-containing AIEgens and paclitaxel.

Nowadays, it is still quite difficult to combat glioblastoma, which is one of the most lethal cancers for human beings. Combinatory therapy, which could not only improve therapeutic efficacy and overcome multiple drug resistance but also decrease the threshold therapeutic drug dosage and minimize side effects, would be an appealing candidate for glioblastoma treatment. Herein, we report fluorescence imaging in the second near-infrared window (NIR-II)-guided combinatory photothermal therapy (PTT) and chemotherapy of glioblastoma with a newly formulated nanomedicine termed PATSL. It is composed of temperature-sensitive liposome (TSL) carriers, NIR-II emissive and photothermal aggregation-induced emission (AIE) dyes, and chemotherapeutic paclitaxel (PTX) as well. PATSL shows spherical morphology with diameters of approximately 55 and 85nm by transmission electron microscopy and laser light scattering, respectively, a zeta potential of -14.83 mV, good stability in both size and photoactivity, strong light absorption with a peak of approximately 770nm, and bright emission from 900nm to 1,200nm. After excitation with an 808-nm laser with good spatiotemporal controllability, PATSL emits bright NIR-II fluorescence signals for tumor diagnosis in vivo, exhibits high photothermal conversion efficiency (68.8%), and triggers drug release of PTX under hypothermia, which assists in efficient tumor ablation in vitro and in vivo. This research demonstrates that "all-in-one" theranostics with NIR-II fluorescence imaging-guided combinatory PTT and chemotherapy is an efficient treatment paradigm for improving the prognosis of brain cancers.

Natural Products for Acetaminophen-Induced Acute Liver Injury: A Review

The liver plays a vital role in metabolism, synthesis, and detoxification, but it is susceptible to damage from various factors such as viral infections, drug reactions, excessive alcohol consumption, and autoimmune diseases. This susceptibility is particularly problematic for patients requiring medication, as drug-induced liver injury often leads to underestimation, misdiagnosis, and difficulties in treatment. Acetaminophen (APAP) is a widely used and safe drug in therapeutic doses but can cause liver toxicity when taken in excessive amounts. This study aimed to investigate the hepatotoxicity of APAP and explore potential treatment strategies using a mouse model of APAP-induced liver injury. The study involved the evaluation of various natural products for their therapeutic potential. The findings revealed that natural products demonstrated promising hepatoprotective effects, potentially alleviating liver damage and improving liver function through various mechanisms such as oxidative stress and inflammation, which cause changes in signaling pathways. These results underscore the importance of exploring novel treatment options for drug-induced liver injury, suggesting that further research in this area could lead to the development of effective preventive and therapeutic interventions, ultimately benefiting patients with liver injury caused by medicine.

Preclinical Efficacy And Safety Evaluation of AAV-OTOF in DFNB9 Mouse Model And Nonhuman Primate.

OTOF mutations are the principal causes of auditory neuropathy. There are reports on Otof-related gene therapy in mice, but there is no preclinical research on the drug evaluations. Here, Anc80L65 and the mouse hair cell-specific Myo15 promoter (mMyo15) are used to selectively and effectively deliver human OTOF to hair cells in mice and nonhuman primates to evaluate the efficacy and safety of OTOF gene therapy drugs. A new dual-AAV-OTOF-hybrid strategy to transfer full-length OTOF is generated, which can stably restore hearing in adult OTOFp.Q939*/Q939* mice with profound deafness, with the longest duration being at least 150 days, and the best therapeutic effect without difference in hearing from wild-type mice. An AAV microinjection method into the cochlea of cynomolgus monkeys without hearing impairment is further established and found the OTOF can be safely and effectively driven by the mMyo15 promoter in hair cells. In addition, the therapeutic dose of AAV drugs has no impact on normal hearing and does not cause significant systemic toxicity both in mouse and nonhuman primates. In summary, this study develops a potential gene therapy strategy for DFNB9 patients in the clinic and provides complete, standardized, and systematic research data for clinical research and application.

Treosulfan Exposure Predicts Thalassemia-Free Survival in Patients with Beta Thalassemia Major Undergoing Allogeneic Hematopoietic Cell Transplantation.

A toxicity-reduced conditioning regimen with treosulfan, fludarabine, and thiotepa in patients with high-risk β-thalassemia major has significantly improved hematopoietic stem cell transplantation (HCT) outcomes. However, complications resulting from regimen-related toxicities (RRTs), mixed chimerism, and graft rejection remain a challenge. We evaluated the dose-exposure-response relationship of treosulfan and its active metabolite S, S-EBDM, in a uniform cohort of patients with β-thalassemia major to identify whether therapeutic drug monitoring (TDM) and dose adjustment of treosulfan is feasible. Plasma treosulfan/S, S-EBDM levels were measured in 77 patients using a validated liquid chromatography with tandem mass spectrometry method, and the pharmacokinetic parameters were estimated using nlmixr2. The influence of treosulfan and S, S-EBDM exposure, and GSTA1/NQO1 polymorphisms on graft rejection, RRTs, chimerism status, and 1-year overall survival (OS), and thalassemia-free survival (TFS) were assessed. We observed that treosulfan exposure was lower in patients with graft rejection than those without (1,655 vs. 2,037 mg•h/L, P = 0.07). Pharmacodynamic modeling analysis to identify therapeutic cutoff revealed that treosulfan exposure ≥1,660 mg•hour/L was significantly associated with better 1-year TFS (97% vs. 81%, P = 0.02) and a trend to better 1-year OS (90% vs. 69%, P = 0.07). Further, multivariate analysis adjusting for known pre-HCT risk factors also revealed treosulfan exposure <1,660 mg•h/L (hazard ratio (HR) = 3.23; 95% confidence interval (CI) = 1.12-9.34; P = 0.03) and GSTA1*B variant genotype (HR = 3.75; 95% CI = 1.04-13.47; P = 0.04) to be independent predictors for inferior 1-year TFS. We conclude that lower treosulfan exposure increases the risk of graft rejection and early transplant-related mortality affecting TFS. As no RRTs were observed with increasing treosulfan exposure, TDM-based dose adjustment could be feasible and beneficial.

Machine Learning Models for Predicting Personalized Tacrolimus Stable Dosages in Pediatric Renal Transplant Patients

Tacrolimus, characterized by a narrow therapeutic index, significant toxicity, adverse effects, and interindividual variability, necessitates frequent therapeutic drug monitoring and dose adjustments in renal transplant recipients. This study aimed to compare machine learning (ML) models utilizing pharmacokinetic data to predict tacrolimus blood concentration. This prediction underpins crucial dose adjustments, emphasizing patient safety. The investigation focuses on a pediatric cohort. A subset served as the derivation cohort, creating the dose-prediction algorithm, while the remaining data formed the validation cohort. The study employed various ML models, including artificial neural network, RandomForestRegressor, LGBMRegressor, XGBRegressor, AdaBoostRegressor, BaggingRegressor, ExtraTreesRegressor, KNeighborsRegressor, and support vector regression, and their performances were compared. Although all models yielded favorable fit outcomes, the ExtraTreesRegressor (ETR) exhibited superior performance. It achieved measures of −0.161 for MPE, 0.995 for AFE, 1.063 for AAFE, and 0.8 for R2, indicating accurate predictions and meeting regulatory standards. The findings underscore ML’s predictive potential, despite the limited number of samples available. To address this issue, resampling was utilized, offering a viable solution within medical datasets for developing this pioneering study to predict tacrolimus trough concentration in pediatric transplant recipients.

Hydrogel-Based Microneedle as a Drug Delivery System.

The skin is considered the largest and most accessible organ in the human body, and allows the use of noninvasive and efficient strategies for drug administration, such as the transdermal drug delivery system (TDDS). TDDSs are systems or patches, with the ability and purpose to deliver effective and therapeutic doses of drugs through the skin. Regarding the specific interaction between hydrogels (HG) and microneedles (MNs), we seek to find out how this combination would be applied in the context of drug delivery, and we detail some possible advantages of the methods used. Depending on the components belonging to the HG matrix, we can obtain some essential characteristics that make the combination of hydrogels-microneedles (HG-MNs) very advantageous, such as the response to external stimuli, among others. Based on multiple characteristics provided by HGMNs that are depicted in this work, it is possible to obtain unique properties that include controlled, sustained, and localized drug release, as well as the possibility of a synergistic association between the components of the formulation and the combination of more than one bioactive component. In conclusion, a system based on HG-MNs can offer many advantages in the biomedical field, bringing to light a new technological and safe system for improving the pharmacokinetics and pharmacodynamics of drugs and new treatment perspectives.

Effect of Atypical Antipsychotic Usage at Therapeutic Doses on Daytime Sleepiness

The aim of this study is to determine the effect of using atypical antipsychotic drug usage at therapeutic doses on daytime sleepiness. One hundred twenty volunteers who met the inclusion-exclusion criteria were divided into two equal groups. Group 1: patient group (60 patients volunteers used atypical antipsychotic in therapeutic doses and hospitalized in the psychiatry clinic of Tekirdağ Namık Kemal University Hospital and Group 2: control group (60 control volunteers). Socio-demographic and Clinical Information Form consist of 14 questions was administration all volunteers. Also, Epworth Sleepiness Scale which is a survey that determines the degree of sleepiness in eight different situations during the day was administered to all volunteers. Atypical antipsychotic drug usage at therapeutic doses significantly increased patients’ daytime sleepiness compared to the control group. Among the atypical antipsychotic drugs usage in therapeutic dose, the drug that caused the most daytime sleepiness was clozapine. Also, using of atypical antipsychotic drugs in therapeutic doses markedly decreased patients’ life quality compared to the control group. Atypical antipsychotic drug usage at therapeutic doses could cause daytime sleepiness and reduce patients’ quality of life.

Building a novel self-iterative clinical pharmacist intervention model in psychiatric hospital: Application and evaluation

Clinical pharmacist intervention (CPI) in psychiatric hospital has not been widely developed in China. This study aimed to establish a real-time dynamic self-iterative CPI model in The Affiliated Mental Health Center of Jiangnan University and evaluated its effect. We focused on the running data in 2021 and 2022. The number of interventions, intervention types and intervention strategies were evaluated. In 2021 and 2022, a total of 443 interventions were reported. Among them, 271 (61.17 %) were identified during ward rounds by physicians, pharmacists and nurses. The proportion of CPI through ward rounds and information system gradually decreased while intervention through other ways increased. Meanwhile, there are various of CPI types including adverse drug reactions (26.86 %), therapeutic drug monitoring recommendations (13.32 %), drug usage and dose adjustment (10.61 %) and among them, adverse reactions are the focus of pharmacists' attention. Besides, the intervention strategies of pharmacists mainly concentrated in medication change (18.74 %), medication discontinuation (15.58 %) and dose reduction (12.19 %). In addition, the self-iterative function can continuously optimize the intervention level of clinical pharmacists. Overall, the CPI model established in this study effectively promote pharmacist intervention and accelerate pharmaceutical transformation.

The acquisition order of leukemic drug resistance mutations is directed by the selective fitness associated with each resistance mechanism

In Chronic Myeloid Leukemia, the transition from drug sensitive to drug resistant disease is poorly understood. Here, we used exploratory sequencing of gene transcripts to determine the mechanisms of drug resistance in a dasatinib resistant cell line model. Importantly, cell samples were collected sequentially during drug exposure and dose escalation, revealing several resistance mechanisms which fluctuated over time. BCR::ABL1 overexpression, BCR::ABL1 kinase domain mutation, and overexpression of the small molecule transporter ABCG2, were identified as dasatinib resistance mechanisms. The acquisition of mutations followed an order corresponding with the increase in selective fitness associated with each resistance mechanism. Additionally, it was demonstrated that ABCG2 overexpression confers partial ponatinib resistance. The results of this study have broad applicability and help direct effective therapeutic drug usage and dosing regimens and may be useful for clinicians to select the most efficacious therapy at the most beneficial time.

The Influence of a Single Therapeutic Dose of Methadone on Selected Auditory Functions in Patients Addicted to Opioids and Undergoing Substitution Therapy – a Preliminary Study

The main purpose of this research was to determine the influence of a therapeutic dose of an opioid drug (methadone) on selected auditory functions in patients addicted to opioids (recognition ICD-10; F11) and undergoing substitution therapy. Various hearing tests were used in this research – pure tone audiometry, impedance audiometry, otoacoustic emission measurement, and a speech in noise test – in two sessions, before and after methadone intake. It was found that methadone causes an improvement in speech intelligibility when speech is presented in speech-like noise, and slightly decreases hearing thresholds [dB HL]. Methadone consumption has no significant impact on distortion product otoacoustic emissions levels (DPOAE). In summary, a prescribed methadone dose does not worsen the hearing of opioid-dependent subjects.

Higher Weight-Based Doses Are Required to Achieve and Maintain Therapeutic Voriconazole Serum Trough Concentrations in Children.

Children require weight-based voriconazole doses proportionately larger than adults to achieve therapeutic serum trough concentrations (1-6 mcg/mL). The objective of this quality improvement project was to determine the initial dose, proportion of patients achieving target concentrations with initial dosing, and subsequent therapeutic drug monitoring and dose modifications needed to achieve and maintain therapeutic voriconazole concentrations in children. This retrospective study evaluated children aged <18 years treated with voriconazole during the study period. Dosing and therapeutic drug monitoring (TDM) values were collected and compared by age. Data are presented as median (IQR), unless otherwise stated. Fifty-nine patients, aged 10.4 (3.7-14.7) years and 49% female, met inclusion criteria; 42 had at least 1 steady-state voriconazole serum trough concentration measured. Twenty-one of 42 (50%) achieved the target concentration at the first steady-state measurement. An additional 13 of 42 (31%) achieved the target following 2 to 4 dose modifications. The dose required to first achieve a value in the target range was 22.3 (18.0-27.1) mg/kg/day in children aged <12 years and 12.0 (9.8-14.0) mg/kg/day in children aged ≥12 years. After reaching the target, 59% and 81% of repeated steady-state measurements were in the therapeutic range in patients aged <12 years and ≥12 years, respectively. Reaching therapeutic voriconazole serum trough concentrations required doses larger than currently recommended by the American Academy of Pediatrics. Multiple dose adjustments and TDM measurements were required to achieve and maintain therapeutic voriconazole serum concentrations.

Development of a Pharmacogenomics Model based on Support Vector Regression with Optimal Features Selection Approach to Determine the Initial Therapeutic Dose of Warfarin Anticoagulant Drug

Introduction: Using artificial intelligence tools in pharmacogenomics is one of the latest bioinformatics research fields. One of the most important drugs that determining its initial therapeutic dose is difficult is the anticoagulant warfarin. Warfarin is an oral anticoagulant that, due to its narrow therapeutic window and complex interrelationships of individual factors, the selection of its optimal dose is challenging . Method: Inaccuracy in determining the initial dose of warfarin will simply lead to thrombosis or severe bleeding and ultimately, patient death. Among the relatively successful methods of kernel-based estimation, comparison and identification of suitable kernels have not been researched. In the present research, while carefully examining this approach, different features of selection algorithms were analyzed based on expert opinions, and an appropriate subset of efficient predictor variables was identified for dose estimation. Results: In the current study, a dataset collected by the International Warfarin Consortium was used. The results showed that the support vector machine with a suitable kernel and a subset of the proposed features can successfully predict the ideal dose of warfarin for a significant percentage of patients with an error of approximately 0.7 mg per week . Conclusion: The estimation was conducted using the least squares version of the support vector regression based on a suitable kernel and feature selection strategy. In this way, a better approach for predicting the optimal therapeutic dose of warfarin was presented, which can significantly reduce the wrong dose error and its consequences .