BACKGROUND: The efficacy of therapeutic drug monitoring (TDM)-based antimicrobial dosing optimization strategies on pharmacokinetics/pharmacodynamics and specific drug properties for critically ill patients is unclear. Here, we conducted a systematic review and meta-analysis of randomized controlled trials to evaluate the effectiveness of TDM-based regimen in these patients.
METHODS: Articles from three databases were systematically retrieved to identify relevant randomized control studies. Version two of the Cochrane tool for assessing risk of bias in randomized trials was used to assess the risk of bias in studies included in the analysis, and quality assessment of evidence was graded using the Grading of Recommendations Assessment, Development, and Evaluation approach. Primary outcome was the 28-day mortality and secondary outcome were in-hospital mortality, clinical cure, length of stay in the intensive care unit (ICU) and target attainment at day 1 and 3.
RESULTS: In total, 5 studies involving 1011 patients were included for meta-analysis of the primary outcome, of which no significant difference was observed between TDM-based regimen and control groups (risk ratio [RR] 0.94, 95% confidence interval [CI]: 0.77-1.14; I2 = 0%). In-hospital mortality (RR 0.96, 95% CI: 0.76-1.20), clinical cure (RR 1.23, 95% CI: 0.91-1.67), length of stay in the ICU (mean difference 0, 95% CI: - 2.18-2.19), and target attainment at day 1 (RR 1.14, 95% CI: 0.88-1.48) and day 3 (RR 1.35, 95% CI: 0.90-2.03) were not significantly different between the two groups, and all evidence for the secondary outcomes had a low or very low level of certainty because the included studies had serious risk of bias, variation of definition for outcomes, and small sample sizes.
CONCLUSIONS: TDM-based regimens had no significant efficacy for clinical or pharmacological outcomes. Further studies with other achievable targets and well-defined outcomes are required.
BACKGROUND: Clinical trial registration; PROSPERO ( https://www.crd.york.ac.uk/prospero/ ), registry number: CRD 42022371959. Registered 24 November 2022.

UNASSIGNED: The treatment gap for epilepsy is large in low- and middle-income countries (LMICs) and the effectiveness and safety of the available anti-seizure medication (ASMs) is not fully understood. We systematically reviewed available evidence on therapeutic drug monitoring (TDM) of ASM in LMIC.
UNASSIGNED: We searched four main databases (PubMed, Psych-Info, CINAHL and Embase) up to 31 st December 2020, with eligible articles screened using a PRISMA checklist and a set of exclusion and inclusion criteria. Full texts were examined to evaluate the extent and practice of TDM in LMICs. Analyses were performed using Stata 13 and descriptive statistics were used to pool median distribution of TDM across studies.
UNASSIGNED: Of the 6,309 articles identified in the initial search, 65 (1.0%) met the eligibility criteria. TDM of ASMs was mostly done to assess toxicity (42.8%), but rarely to monitor adherence (9.0%). TDM differed by economic status and infrastructural status with majority of the studies coming from Europe (53.8%) and upper-middle-income countries (87.6%). First generation ASMs (82.3%) were more likely to be monitored than second generation ASMs (17.6%) and carbamazepine was the most frequently monitored drug. Fluorescence Polarization Immunoassay (FPIA) was the most common technique used for TDM (41.5%) followed by High-Performance Liquid Chromatography (HPLC) (16.9%). In addition, FPIA was the cheapest method of TDM based on approximated costs ($1000, TDx system). Assay validation and quality control were reported variably, and reference ranges used during TDM of ASMs were relatively uniform.
UNASSIGNED: TDM is mostly done to evaluate ASM toxicity, but rarely for other reasons such as evaluating adherence or assessing clinical efficacy. There is a need for more investment in comprehensive and targeted TDM in LMICs when initiating treatment, switching therapies, adding or removing ASM and evaluating treatment response and safety of both first generation and second generation ASMs.
The number of people with epilepsy who do not have access to treatment is high in low- and middle-income countries (LMICs) and the effectiveness and safety of the available medication for epilepsy is not fully understood. We systematically reviewed available evidence on therapeutic drug monitoring (TDM), i.e. measuring medication levels to ensure they are within the recommended ranges in a LMIC. We searched four main databases (PubMed, Psych-Info, CINAHL and Embase) up to 31st December 2020, with eligible articles screened using a PRISMA checklist and a set of criteria tailored to our study objectives. Full texts were examined to evaluate the extent and practice of TDM in LMICs. Analyses were performed using Stata 13 and we used statistical methods to describe the distribution of TDM across studies. Of the 6,309 articles identified in the initial search, 65 (1.0%) met the set criteria for inclusion. Measurement of medication levels was mostly done to check for side effects (42.8%), but rarely to ensure if patients were taking their medication as prescribed (9.0%). Distribution differed by economic status with the majority of the studies coming from Europe (53.8%) and upper-middle-income countries (87.6%). Older medications for epilepsy (82.3%) were more likely to be monitored than newer drugs (17.6%), with carbamazepine being the most frequently measured drug. A laboratory method called Fluorescence Polarization Immunoassay was the most common (41.5%) and affordable (costing about $1000). Reference ranges for medication levels used during TDM were relatively uniform. We concluded that TDM was rarely done when evaluating medication adherence or clinical efficacy. Therefore, there is a need for more investment in comprehensive and targeted TDM in LMICs when initiating treatment, switching therapies, adding or removing medications and evaluating treatment response and safety of old and newer medications for epilepsy.

BACKGROUND: Therapeutic drug monitoring and Model-informed precision dosing allow dose individualization to increase drug effectivity and reduce toxicity.
OBJECTIVE: To evaluate the available evidence on the clinical efficacy of individualized antimicrobial dosing optimization.
METHODS: Data sources: PubMed, Embase, Web of Science, and Cochrane Library databases from database inception to 11 November 2022.
METHODS: Published peer-reviewed randomized controlled trials.
METHODS: Human subjects aged ≥18 years receiving an antibiotic or antifungal drug.
METHODS: Patients receiving individualized antimicrobial dose adjustment.
UNASSIGNED: Cochrane risk-of-bias tool for randomized trials.
UNASSIGNED: The primary outcome was the risk of mortality. Secondary outcomes included target attainment, treatment failure, clinical and microbiological cure, length of stay, treatment duration, and adverse events. Effect sizes were pooled using a random-effects model. Statistical heterogeneity was assessed by inconsistency testing (I2).
RESULTS: Ten randomized controlled trials were included in the meta-analysis (1241 participants; n = 624 in the individualized antimicrobial dosing group and n = 617 in the control group). Individualized antimicrobial dose optimization was associated with a numerical decrease in mortality (risk ratio [RR] = 0.86; 95% CI, 0.71-1.05), without reaching statistical significance. Moreover, it was associated with significantly higher target attainment rates (RR = 1.41; 95% CI, 1.13-1.76) and a significant decrease in treatment failure (RR = 0.70; 95% CI, 0.54-0.92). Individualized antimicrobial dose optimization was associated with improvement, but not significant in clinical cure (RR = 1.33; 95% CI, 0.94-1.33) and microbiological outcome (RR = 1.25; CI, 1.00-1.57), as well as with a significant decrease in the risk of nephrotoxicity (RR = 0.55; 95% CI, 0.31-0.97).
CONCLUSIONS: This meta-analysis demonstrated that target attainment, treatment failure, and nephrotoxicity were significantly improved in patients who underwent individualized antimicrobial dose optimization. It showed an improvement in mortality, clinical cure or microbiological outcome, although not significant.

UNASSIGNED: Clozapine (CLZ) is the superior drug in treatment of schizophrenia. Serum concentration of CLZ is associated with clinical response and dose-dependents side effects, where generalized tonic-clonic seizures are most critical. Thus, therapeutic drug monitoring (TDM) of CLZ may guide individual dosing to reach target exposure and prevent dose-dependent side effects. However, current TDM methods are not capable of predicting the risk of agranulocytosis, which is a dose-independent side effect restricting use of CLZ to treatment-resistant schizophrenia (TRS).
UNASSIGNED: The article provides an overview of clinical, pharmacological, and toxicological aspects of CLZ, and the role of TDM as a tool for dose titration and follow-up in patients with TRS. Main focus is on current challenges and strategies in CLZ TDM, including future perspectives on potential identification/analysis of CLZ metabolite biomarkers reflecting the risk of granulocyte toxicity.
UNASSIGNED: The association between CLZ serum concentration, clinical response and risk of seizures is indisputable. TDM should therefore always guide CLZ dose titration. Development of advanced TDM methods, including biomarkers predicting the risk of granulocyte toxicity might extend TDM to be a tool for deciding which patients that can be treated safely with CLZ, potentially increasing its utility beyond TRS.

OBJECTIVE: Meropenem, a carbapenem antibiotic, is widely prescribed for the treatment of life-threatening infections. The main parameter associated with its therapeutic success is the percentage of time that the levels remain above the minimum inhibitory concentration. Inadequate levels of meropenem can lead to therapeutic failure and increase the possibility of microbial resistance. The employment of strategies involving dose regimens and drug pharmacodynamics has become increasingly important to optimize therapies. In the present study, we conducted a review with the purpose of assembling information about the clinical use of meropenem and therapeutic drug monitoring.
METHODS: A literature review emphasizing the application of therapeutic drug monitoring (TDM) of meropenem in clinical practice has been done. To identify articles related to the topic, we performed a standardized search from January 21, 2020 to December 21, 2020, using specific descriptors in PubMed, Lilacs and Embase.
CONCLUSIONS: In total, 35 studies were included in the review. The daily dose of meropenem commonly ranged from 3 to 6 g/day. Critically ill patients and those with impaired renal function appear to be the most suitable patients for the application of meropenem TDM, in order to guide therapy. We observed that most of the studies recommend TDM and that, in nine locations, the TDM of meropenem and of other beta-lactams is a routine practice. TDM data can help to maximize the clinical outcomes of the treatment with meropenem. It can also improve the patient care by providing suitable levels of meropenem, guiding the most appropriate dose regimens, which is the main parameter associated with therapeutic success.
CONCLUSIONS: The findings from this review suggest that the therapeutic monitoring of meropenem can be beneficial, since it adjusts the treatment and aids clinical outcomes. It does so by indicating the appropriate dosage and preventing failure, toxicity and possible antimicrobial resistance. The multidisciplinary effort, basic knowledge and communication among the medical team are also essential.

An infectious disease, COVID-19, caused by a new type of coronavirus, has been discovered recently. This disease can cause respiratory distress, fever, and fatigue. It still has no drug and vaccine for treatment and prevention. Therefore, WHO recommends that people should stay at home to reduce disease transmission. Due to the quarantine, FDA stated that this could hamper drug development clinical trial protocols. Hence, an alternative sampling method that can be applied at home is needed. Currently, volumetric absorptive microsampling (VAMS) has become attention in its use in clinical and bioanalytical fields. This paper discusses the advantages and challenges that might be found in the use of VAMS as an alternative sampling tool in clinical trials and therapeutic drug monitoring (TDM) during the COVID-19 pandemic. VAMS allows easy sampling, can be done at home, storage and delivery at room temperature, and the volume taken is small and minimally invasive. VAMS is also able to absorb a fixed volume that can increase the accuracy and precision of analytical methods, and reduce the hematocrit effects (HCT). The use of VAMS is expected to be implemented immediately in clinical trials and TDM during this pandemic considering the benefits it has.

UNASSIGNED: In addition to clozapine, there is a growing body of evidence that supports therapeutic drug monitoring (TDM) for additional antipsychotics commonly used in the United States.
UNASSIGNED: The Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie (AGNP) published TDM guidelines for several psychiatric medications. Sources were identified that the authors used to establish therapeutic reference ranges for haloperidol, fluphenazine, perphenazine, and olanzapine-4 antipsychotics commonly used in the United States with a \"strong recommendation\" for TDM. The sources were then reviewed for content and appropriateness for utilization in establishing the reference ranges.
UNASSIGNED: Olanzapine had 15 citations, haloperidol had 9, perphenazine had 4, and fluphenazine had 2. The studies\' methods were reviewed along with the proposed therapeutic reference ranges.
UNASSIGNED: Several limitations of the guidelines were identified. Reference ranges were suggested based on studies of patients with various diagnoses; some patients had an acute exacerbation, and others were in a maintenance phase. An additional publication was identified that reviewed similar (and additional) TDM studies; those conclusions were in slight contrast with those of the AGNP guidelines. In the future, guidance should be given to those looking to conduct TDM studies to standardize methods and make meta-analysis of this data more feasible.

Surface-Enhanced Raman Spectroscopy (SERS) is a label-free technique that enables quick monitoring of substances at low concentrations in biological matrices. These advantages make it an attractive tool for the development of point-of-care tests suitable for Therapeutic Drug Monitoring (TDM) of drugs with a narrow therapeutic window, such as chemotherapeutic drugs, immunosuppressants, and various anticonvulsants. In this article, the current applications of SERS in the field of TDM for cancer therapy are discussed in detail and illustrated according to the different strategies and substrates. In particular, future perspectives are provided and special concerns regarding the standardization of self-assembly methods and nanofabrication procedures, quality assurance, and technology readiness are critically evaluated.

In some patient groups, including critically ill patients, the pharmacokinetics of β-lactam antibiotics may be profoundly disturbed due to pathophysiological changes in distribution and elimination. Therapeutic drug monitoring (TDM) is a strategy that may help to optimise dosing. The aim of this review was to identify and analyse the published literature on the methods used for β-lactam quantification in TDM programmes. Sixteen reports described methods for the simultaneous determination of three or more β-lactam antibiotics in plasma/serum. Measurement of these antibiotics, due to low frequency of usage relative to some other tests, is generally limited to in-house chromatographic methods coupled to ultraviolet or mass spectrometric detection. Although many published methods state they are fit for TDM, they are inconvenient because of intensive sample preparation and/or long run times. Ideally, methods used for routine TDM should have a short turnaround time (fast run-time and fast sample preparation), a low limit of quantification and a sufficiently high upper limit of quantification. The published assays included a median of 6 analytes [interquartile range (IQR) 4-10], with meropenem and piperacillin being the most frequently measured β-lactam antibiotics. The median run time was 8 min (IQR 5.9-21.3 min). There is also a growing number of methods measuring free concentrations. An assay that measures antibiotics without any sample preparation would be the next step towards real-time monitoring; no such method is currently available.