scholarly journals Point-of-Care Therapeutic Drug Monitoring for Precision Dosing of Immunosuppressive Drugs

2020 ◽  
Vol 5 (4) ◽  
pp. 738-761 ◽  
Author(s):  
Adriano Taddeo ◽  
Denis Prim ◽  
Elena-Diana Bojescu ◽  
Jean-Manuel Segura ◽  
Marc E Pfeifer
Keyword(s):  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
Clinical Care ◽  
Transplant Rejection ◽  
Area Under The Curve ◽  
Immunosuppressive Drugs ◽  
Therapeutic Drug ◽  
Pharmacokinetic Data

Abstract Background Immunosuppressive drugs (ISD) are an essential tool in the treatment of transplant rejection and immune-mediated diseases. Therapeutic drug monitoring (TDM) for determination of ISD concentrations in biological samples is an important instrument for dose personalization for improving efficacy while reducing side effects. While currently ISD concentration measurements are performed at specialized, centralized facilities, making the process complex and laborious for the patient, various innovative technical solutions have recently been proposed for bringing TDM to the point-of-care (POC). Content In this review, we evaluate current ISD-TDM and its value, limitations, and proposed implementations. Then, we discuss the potential of POC-TDM in the era of personalized medicine, and provide an updated review on the unmet needs and available technological solutions for the development of POC-TDM devices for ISD monitoring. Finally, we provide concrete suggestions for the generation of a meaningful and more patient-centric process for ISD monitoring. Summary POC-based ISD monitoring may improve clinical care by reducing turnaround time, by enabling more frequent measurements in order to obtain meaningful pharmacokinetic data (i.e., area under the curve) faster reaction in case of problems and by increasing patient convenience and compliance. The analysis of the ISD-TDM field prompts the evolution of POC testing toward the development of fully integrated platforms able to support clinical decision-making. We identify 4 major areas requiring careful combined implementation: patient usability, data meaningfulness, clinicians’ acceptance, and cost-effectiveness.

scholarly journals Evaluation of electrochemiluminescence immunoassays for immunosuppressive drugs on the Roche cobas e411 analyzer

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1832
Author(s):  
Angela W.S. Fung ◽  
Michael J. Knauer ◽  
Ivan M. Blasutig ◽  
David A. Colantonio ◽  
Vathany Kulasingam
Keyword(s):  
Regression Analysis ◽  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Transplant Rejection ◽  
Organ Transplant ◽  
Drug Efficacy ◽  
Immunosuppressive Drugs ◽  
Therapeutic Drug ◽  
Deming Regression ◽  
Roche Cobas

Background:  Therapeutic drug monitoring of immunosuppressant drugs are used to monitor drug efficacy and toxicity and to prevent organ transplant rejection. This study evaluates the analytical performance of semi-automated electrochemiluminescence immunoassays (ECLIA) for cyclosporine (CSA), tacrolimus (TAC) and sirolimus (SRL) on the Roche cobas e 411 analyzer at a major transplant hospital to assess method suitability and limitations. Methods: Residual whole blood samples from patients undergoing immunosuppressant therapy were used for evaluation. Imprecision, linearity, functional sensitivity, method comparisons and lot-to-lot comparisons were assessed. Results: Total imprecision ranged from 3.3 to 7.1% for CSA, 3.9 to 9.4% for TAC, and 4.6 to 8.2% for SRL. Linearity was verified from 30.0 to 960.9 μg/L for CSA, from 1.1 to 27.1 μg/L for TAC, and from 0.5 to 32.3 µg/L for SRL. The functional sensitivity met the manufacturer’s claims and was determined to be <6.5 μg/L for CSA, 1.1 μg/L for TAC, and <0.1 µg/L for SRL (CV≤20%). Deming regression analysis of method comparisons with the ARCHITECT immunoassay yielded slopes of 0.917 (95%CI: 0.885-0.949) and r of 0.985 for CSA, 0.938 (95%CI: 0.895-0.981) and r of 0.974 for TAC, and 0.842 (0.810-1.110) and r of 0.982 for SRL. Deming regression analysis of comparisons with the LC–MS/MS method yielded slopes of 1.331 (95%CI: 1.167-1.496) and r of 0.969 for CSA, 0.924 (95%CI: 0.843-1.005) and r of 0.984 for TAC, and 0.971 (95%CI: 0.913-1.030) and r of 0.993 for SRL. Conclusions: The cobas e 411 ECLIA for CSA, TAC, and SRL have acceptable precision, linearity, and functional sensitivity. The method comparisons correlated well with the ARCHITECT immunoassay and LC–MS/MS and is fit for therapeutic drug monitoring

scholarly journals A Moving Target—Vancomycin Therapeutic Monitoring

2020 ◽  
Vol 9 (4) ◽  
pp. 474-478
Author(s):  
Alaina N Burns ◽  
Jennifer L Goldman
Keyword(s):  
Clinical Practice ◽  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Clinical Care ◽  
Area Under The Curve ◽  
Therapeutic Monitoring ◽  
Therapeutic Drug ◽  
Moving Target ◽  
Efficacy And Safety ◽  
Vancomycin Trough

Abstract Therapeutic drug monitoring (TDM) has been a common practice to optimize efficacy and safety of vancomycin. While vancomycin trough-only TDM has widely been integrated into pediatric clinical practice since 2009, recently updated vancomycin TDM guidelines published in March 2020 recommend area under the curve (AUC) based TDM for vancomycin instead of trough-only TDM. In this review, we discuss the rationale behind the change in TDM recommendations, describe two approaches for calculating vancomycin AUC in clinical practice, and address considerations for integrating vancomycin AUC TDM into pediatric clinical practice. Our primary goal is to provide pediatric clinicians with a resource for implementing vancomycin AUC monitoring into clinical care.

scholarly journals Rapid point-of-care anti-infliximab antibodies detection in clinical practice: comparison with ELISA and potential for improving therapeutic drug monitoring in IBD patients

2021 ◽  
Vol 14 ◽  
pp. 175628482199990
Author(s):  
Sonia Facchin ◽  
Andrea Buda ◽  
Romilda Cardin ◽  
Nada Agbariah ◽  
Fabiana Zingone ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Point Of Care ◽  
Drug Clearance ◽  
Elisa Test ◽  
Enzyme Linked Immunosorbent Assay ◽  
Therapeutic Drug ◽  
Drug Concentrations ◽  
Inflammatory Bowel

Anti-drug antibodies can interfere with the activity of anti-tumor necrosis factor (TNF) agents by increasing drug clearance via direct neutralization. The presence of anti-drug antibodies is clinically relevant when trough drug concentrations are undetectable or sub-therapeutic. However, traditional immunoassay is not easily and rapidly accessible, making the translation of the results into treatment adjustment difficult. The availability of a point-of-care (POC) test for therapeutic drug monitoring (TDM) might represent an important step forward for improving the management of inflammatory bowel disease (IBD) patients in clinical practice. In this pilot study, we compared the results obtained with POC tests with those obtained by enzyme-linked immunosorbent assay (ELISA) in a group of IBD patients treated with Infliximab (IFX). We showed that POC test can reliably detect presence of antibody-to-IFX with 100% of specificity and 76% sensitivity, in strong agreement with the ELISA test ( k-coefficient = 0.84).

Generation of Pharmacokinetic Data During Routine Therapeutic Drug Monitoring

1993 ◽  
Vol 15 (4) ◽  
pp. 281-288 ◽  
Author(s):  
E. El Desoky ◽  
J. Meinshausen ◽  
K. Bühl ◽  
G. Engel ◽  
A. Harings-Kaim ◽  
...  
Keyword(s):  
Therapeutic Drug Monitoring ◽  
Drug Monitoring ◽  
Therapeutic Drug ◽  
Pharmacokinetic Data ◽  
Routine Therapeutic Drug Monitoring

scholarly journals P465 Therapeutic drug monitoring in Crohn’s disease patients, a comparison between homogeneous mobility shift assay and point of care method

2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S412-S412
Author(s):  
G Bodini ◽  
M G Demarzo ◽  
A Djahandideh ◽  
I Baldissarro ◽  
E Savarino ◽  
...  
Keyword(s):  
Crohn’S Disease ◽  
Therapeutic Drug Monitoring ◽  
Crohn's Disease ◽  
Drug Concentration ◽  
Drug Monitoring ◽  
Point Of Care ◽  
Therapeutic Drug ◽  
Serum Drug Concentration ◽  
Disease Relapse

Abstract Background Therapeutic Drug Monitoring (TDM) is a useful tool to help physicians managing patients with Inflammatory Bowel Disease treated with anti-tumour necrosis factor (TNF) drugs. Different techniques are available to evaluate serum drug concentration (TL), However, these techniques are time-consuming. A point-of-care (POC) method has been proposed to evaluate drug TL and overcome the limitations inherent to other methodologies. Our aim was to evaluate the capability of POC to discriminate between IBD relapse and remission and to evaluate the concordance of drug TL measured with POC and HMSA Methods We analysed with Quantum BlueÒ (Buhlmann Laboratories AG, Schonenbuch, Switzerland) (POC) 200 Adalimumab (ADA) and 200 Infliximab serum samples of 46 Crohn’s disease (CD) patients previously assessed with HMSA. Blood samples were drawn at standardised time points during anti-TNF treatment (2, 6, and every 8 weeks), before anti-TNF administration. Disease activity was assessed by the Harvey–Bradshaw Index (HBI, remission defined by HBI&lt;5). Results We evaluated 46 CD patients responders to anti-TNF induction with ADA (n = 25, 54.3%) and IFX (n = 21, 45.6%) with a median follow-up of 83 weeks (range 16–144 weeks). At week 16, median ADA TL of patients in remission were significantly higher as compared with patients in disease relapse using both HMSA [12.7 μg/ml (range, 8.9–23.6 μg/ml) vs. 6.6 μg/ml (range, 0.7–9.6 μg/ml), p = 0.0001] and POC [17.8 μg/ml (range 7.6–35.0 μg/ml) vs. 9.8 μg/ml (range 5.8–11.4 μg/ml), p = 0.0003]. The concordance between the two different techniques has been assessed as 0.76 by Choen Kappa. Considering IFX TL, patients in remission had higher serum drug concentration using both HMSA [7.0 μg/ml (range, 0.0–21.8 μg/ml)] and POC [6.2 μg/ml (range 0.4–14.3 μg/ml)] as compared with patients who experienced disease relapse [HMSA, 0.1 μg/ml (range, 0.0–4.1 μg/ml), p = 0.019; POC, 0.45 μg/ml (range 0.4–3.3 μg/ml), p = 0.0072]. The concordance between the two different test for IFX TL was 0.81. We obtained similar results at the end of follow-up: median ADA TL was higher in remission than in disease relapse patients using both HMSA and POC [p = 0.001 and p = 0.0012] with a concordance of 0.75. Median IFX TL was higher in remission than in disease relapse patients using both HMSA and POC (p = 0.13 and p = 0.25) with a concordance of 0.70. Conclusion Both POC and HMSA are TL tests able to differentiate relapse and remission in IBD patients. The association between anti-TNF TL and disease status (remission/relapse) was better in ADA-treated patients rather than patients treated with IFX. Finally, we demonstrated a good concordance between HMSA and POC. Anti-drug antibody concentrations while available on HMSA were not available on POC

scholarly journals What Are the Current Approaches to Optimising Antimicrobial Dosing in the Intensive Care Unit?

Pharmaceutics ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 638
Author(s):  
Ming G. Chai ◽  
Menino O. Cotta ◽  
Mohd H. Abdul-Aziz ◽  
Jason A. Roberts
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Therapeutic Drug Monitoring ◽  
Patient Outcomes ◽  
Drug Monitoring ◽  
Point Of Care ◽  
Statistical Modelling ◽  
Therapeutic Drug ◽  
Dosing Regimens ◽  
Point Of Care System

Antimicrobial dosing in the intensive care unit (ICU) can be problematic due to various challenges including unique physiological changes observed in critically ill patients and the presence of pathogens with reduced susceptibility. These challenges result in reduced likelihood of standard antimicrobial dosing regimens achieving target exposures associated with optimal patient outcomes. Therefore, the aim of this review is to explore the various methods for optimisation of antimicrobial dosing in ICU patients. Dosing nomograms developed from pharmacokinetic/statistical models and therapeutic drug monitoring are commonly used. However, recent advances in mathematical and statistical modelling have resulted in the development of novel dosing software that utilise Bayesian forecasting and/or artificial intelligence. These programs utilise therapeutic drug monitoring results to further personalise antimicrobial therapy based on each patient’s clinical characteristics. Studies quantifying the clinical and cost benefits associated with dosing software are required before widespread use as a point-of-care system can be justified.

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