Mass spectrometry of blood low-molecular fraction as a method for unification of therapeutic drug monitoring

2014 ◽  
Vol 60 (2) ◽  
pp. 201-216 ◽  
Author(s):  
P.G. Lokhov ◽  
D.L. Maslov ◽  
O.P. Trifonova ◽  
E.E. Balashova ◽  
A.I. Archakov

The article describes a new therapeutic drug monitoring (TDM) method based on direct infusion of low-molecular fraction of blood into electrospray ionization source of mass spectrometer. This technique allows performing TDM of almost all drugs used in clinic. In article, the universality and high-throughput of the method, that significantly simplifies its wide application, have been shown. Moreover, the possibility of method application in most cases of drug therapy has been argued as a tool of control of drug doses, rationality of drug therapy, and the quality of the drugs themselves. In conclusion, the prospects for application of the method as primary means of improving the quality and personalization of drug therapy have been discussed.

Author(s):  
Sven Ulrich ◽  
Pierre Baumann ◽  
Andreas Conca ◽  
Hans-Joachim Kuss ◽  
Viktoria Stieffenhofer ◽  
...  

Therapeutic drug monitoring (TDM) has consistently been shown to be useful for optimization of drug therapy. For the first time, a method has been developed for the text analysis of TDM in SPCs in that a catalogue SPC-ContentTDM (SPCCTDM) provides a codification of the content of TDM in SPCs. It consists of six structure-related items (dose, adverse drug reactions, drug interactions, overdose, pregnancy/breast feeding, and pharmacokinetics) according to implicit or explicit references to TDM in paragraphs of the SPC, and four theory-guided items according to the information about ranges of plasma concentrations and a recommendation of TDM in the SPC. The catalogue is regarded as valid for the text analysis of SPCs with respect to TDM. It can be used in the comparison of SPCs, in the comparison with medico-scientific evidence and for the estimation of the perception of TDM in SPCs by the reader. Regarding the approach as a model of text mining, it may be extended for evaluation of other aspects reported in SPCs.


2011 ◽  
pp. 238-261 ◽  
Author(s):  
G. Camps-Valls ◽  
J. D. Martin-Guerrero

Recently, important advances in dosage formulations, therapeutic drug monitoring (TDM), and the emerging role of combined therapies have resulted in a substantial improvement in patients’ quality of life. Nevertheless, the increasing amounts of collected data and the non-linear nature of the underlying pharmacokinetic processes justify the development of mathematical models capable of predicting concentrations of a given administered drug and then adjusting the optimal dosage. Physical models of drug absorption and distribution and Bayesian forecasting have been used to predict blood concentrations, but their performance is not optimal and has given rise to the appearance of neural and kernel methods that could improve it. In this chapter, we present a complete review of neural and kernel models for TDM. All presented methods are theoretically motivated, and illustrative examples in real clinical problems are included.


Author(s):  
Sven Ulrich ◽  
Pierre Baumann ◽  
Andreas Conca ◽  
Hans-Joachim Kuss ◽  
Viktoria Stieffenhofer ◽  
...  

Therapeutic drug monitoring (TDM) has consistently been shown to be useful for optimization of drug therapy. For the first time, a method has been developed for the text analysis of TDM in SPCs in that a catalogue SPC-ContentTDM (SPCCTDM) provides a codification of the content of TDM in SPCs. It consists of six structure-related items (dose, adverse drug reactions, drug interactions, overdose, pregnancy/breast feeding, and pharmacokinetics) according to implicit or explicit references to TDM in paragraphs of the SPC, and four theory-guided items according to the information about ranges of plasma concentrations and a recommendation of TDM in the SPC. The catalogue is regarded as valid for the text analysis of SPCs with respect to TDM. It can be used in the comparison of SPCs, in the comparison with medico-scientific evidence and for the estimation of the perception of TDM in SPCs by the reader. Regarding the approach as a model of text mining, it may be extended for evaluation of other aspects reported in SPCs.


2020 ◽  
Vol 14 (8) ◽  
pp. 1057-1065 ◽  
Author(s):  
Raj Shah ◽  
Gila R Hoffman ◽  
Mohammed El-Dallal ◽  
Alexander M Goldowsky ◽  
Ye Chen ◽  
...  

Abstract Introduction Using therapeutic drug monitoring [TDM] in adult patients with inflammatory bowel disease [IBD] remains controversial. We conducted a systematic review and meta-analysis to answer four clinical PICO [Population, Intervention, Comparator, Outcome] questions. Methods We searched MEDLINE, Embase, Web of Science, and Cochrane Central from inception to June 30, 2019. Remission was defined by the manuscripts’ definitions of clinical remission. Data were analysed using RevMan 5.3. Quality of evidence was assessed with GRADE methodology. Results We identified and screened 3365 abstracts and 11 articles. PICO 1 Reactive vs No TDM: six studies pooled showed 57.1% [257/450] failed to achieve remission following reactive TDM vs 44.7% [268/600] in the no TDM group (risk ratio [RR]: 1.14; 95% confidence interval [CI] 0.88–1.47). PICO 2 Proactive vs no TDM: five studies pooled showed 19.5% [75/384] failed to maintain remission in the proactive TDM group vs 33.4% [248/742] in the no TDM group [RR: 0.60; 95% CI 0.35–1.04]. PICO 3 Proactive vs Reactive TDM: two retrospective studies pooled showed 14.2% [26/183] failure to maintain remission in the proactive TDM group and 64.7% [119/184] in the reactive TDM group [RR: 0.22; 95% CI 0.15–0.32]. PICO 4 TDM [proactive/reactive] vs No TDM: we pooled 10 studies showing 39.7% [332/837] failed to achieve remission in the TDM [proactive/reactive] cohort vs 40.3% [428/1063] in the no TDM cohort [RR: 0.94; 95% CI 0.77–1.14]. Overall, the quality of evidence in each PICO was very low when using GRADE. Conclusions This meta-analysis shows that data supporting use of TDM in adults are limited and of very low quality. Further well-designed randomized controlled trials are needed to determine the place of TDM in clinical practice.


Author(s):  
Santanu Munshi ◽  
Agnik Pal

Background: Lithium is considered first line drug effective in treating manic and mixed episodes of bipolar affective disorders throughout the globe. But the chronic and heterogenous nature of disease, along with toxicity of lithium often make patients non-adherent to medication as well as diminished health related quality of life. Present study was done to find out the prospect of regular supervision and follow up with therapeutic drug monitoring in optimization of lithium therapy based on health-related quality of life outcomes.Methods: It was a prospective, non-randomized, observational study of a cohort of subjects who are suffering from bipolar affective disorders and on lithium therapy. Patients were regularly followed up with therapeutic drug monitoring and personalized interview with questionnaires like WHO Quality of Life Score (QOL-Bref), Montgomery-Asberg Depression Scale (MADRS) and Medication Adherence Rating Scale (MARS).Results: Results revealed there was significant improvement in health-related quality of life of patients who were monitored with therapeutic drug monitoring and prescribed lithium therapy.Conclusions: Hence to maintain patients’ quality of life improved throughout the cycle of bipolar disorder spectrum, regular follow-up visits with monitoring of serum levels of lithium is needed, so that adverse effects would be minimal and adherence to medication become optimal. These optimal dosing resulting in optimal benefit to patients can be achieved with the involvement of clinical pharmacological consultation.


2009 ◽  
Vol 14 (2) ◽  
pp. 66-74
Author(s):  
Peter Gal

Therapeutic drug monitoring is increasingly giving way to dosing drugs based on population-based pharmacokinetic parameters, even when pharmacokinetic values vary quite a bit in individual patients. Further, drug concentrations are often considered appropriate if they are within a defined therapeutic range, even if the patient response is suboptimal. This lecture discusses the limitations of therapeutic ranges in neonates, and proposes greater emphasis on pharmacodynamic curves to individualize drug therapy. Examples are provided using methylxanthines, indomethacin, antiepileptic drugs and aminoglycosides. The potential to use pharmacokinetic findings to describe physiologic changes and occasionally assist with diagnosis is also discussed.


Pharmaceutics ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 1577
Author(s):  
Yuli V. Fuentes ◽  
Jhosep Blanco ◽  
Diana Marcela Díaz-Quijano ◽  
Sharon Lechtig-Wasserman ◽  
Hans Liebisch-Rey ◽  
...  

Therapeutic drug monitoring (TDM) and continuous infusion strategies are effective interventions in clinical practice, but these practices are still largely unknown in Colombia, especially in the critical care setting. This study aims to describe the practices involved in the administration and TDM of β-lactams and vancomycin reported by specialists in critical care in Colombia and to explore the factors that are related to the use of extended infusion. An online nationwide survey was applied to 153 specialists, who were selected randomly. A descriptive, bivariate analysis and a logistic regression model were undertaken. In total, 88.9% of the specialists reported TDM availability and 21.57% reported access to results within 6 h. TDM was available mainly for vancomycin. We found that 85.62% of the intensivists had some type of institutional protocol; however, only 39.22% had a complete and socialized protocol. The odds of preferring extended infusions among those who did not have institutional protocols were 80% lower than those with complete protocols, OR 0.2 (95% CI: 0.06−0.61). The most important perceived barriers to performing continuous infusions and TDM were the lack of training and technologies. This pioneering study in Colombia could impact the quality of care and outcomes of critically ill patients in relation to the threat of antimicrobial resistance.


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