Acetylsalicylic acid dosed at bedtime vs. dosed in the morning for circadian rhythm of blood pressure- a systematic review and meta-analysis.

Introduction: Cardiovascular disease (CVD) is a leading global cause of morbidity and mortality, with high systolic blood pressure (SBP) identified as a major risk factor. Aspirin (Acetylsalicylic acid-ASA) has been considered for CVD prevention, prompting questions about its optimal use in primary and secondary prevention and the ideal dosing time to maximize its impact on circadian blood pressure rhythms. Previous research suggests a potential benefit of bedtime aspirin dosing in reducing blood pressure, attributed to its effects on the renin-angiotensin-aldosterone system and nitric oxide production. This systematic review and meta-analysis aim to further explore the circadian effects of aspirin on blood pressure, focusing on the timing of administration. Methods: Adhering to PRISMA guidelines, a comprehensive search of PubMed, Cochrane Library, and clinicaltrials.gov was conducted. Randomized controlled trials (RCTs) involving patients aged >18 with cardiovascular history and hypertension were included. The primary objective was to assess the impact of bedtime-dosed and morning-dosed aspirin on systolic and diastolic blood pressure. Low-dose aspirin was administered for primary or secondary prevention. The Cochrane Risk of Bias tool evaluated study quality. Meta-analyses were conducted using RevMan 5.3, with mean deviations and 95% confidence intervals employed for outcomes. Results: Initial searches yielded 1,181 articles, with six studies meeting the inclusion criteria. These RCTs involved 1,470 patients, with 1,086 completing follow-up. Bedtime aspirin dosing demonstrated a significant reduction in both systolic and diastolic blood pressure compared to morning dosing (p < 0.05). Meta-analysis results for systolic blood pressure revealed a weighted mean difference of approximately 3.65 mmHg in favour of bedtime dosing, with low heterogeneity (I 2 = 0%). For diastolic blood pressure, the weighted mean difference was 1.92, again favouring bedtime dosing, with 3% heterogeneity. Conclusion: This meta-analysis, involving over 1,300 cardiovascular/hypertensive patients, supports the effectiveness of bedtime aspirin in reducing systolic and diastolic blood pressure compared to morning dosing. The results align with previous findings but distinguish themselves by incorporating a more diverse patient population and addressing moderate heterogeneity. While the study's outcomes are promising, further research, including larger sample sizes and longer durations, is warranted for comprehensive clinical implementation. As the study exclusively focused on aspirin timing, future investigations should explore sustained blood pressure effects in patients with clinical indications for aspirin alongside other hypertensive medications.

Influence of Race Modifiers in Estimated Glomerular Filtration Rate Calculations on Medication Dosing, Access, and Transplant Eligibility.

The 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimation of glomerular filtration rate (GFR) lower values for Black individuals relative to previous equations, which may change medication eligibility or trigger the need to reevaluate dosing decisions. Major drug classes such as antibiotics, antidiabetic medications, cardiovascular agents, medications for the treatment of psychiatric illness, and chemotherapy drugs all have estimated GFR thresholds for prescribing eligibility. However, the use of strict thresholds for medication eligibility should be heavily scrutinized, and individualized comprehensive approaches should be used for patients on the cusps of these thresholds.

Prognostic and predictive factors for the efficacy and safety of trastuzumab deruxtecan in HER2-positive gastric or gastroesophageal junction cancer.

BACKGROUND: Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate targeting HER2-positive gastric cancer or gastroesophageal junction cancer (GC/GEJC). Although effective, T-DXd has notable toxicities, including interstitial lung disease (ILD). This study evaluated the efficacy, safety, and prognostic factors associated with T-DXd for GC/GEJC. METHODS: A retrospective observational study was conducted at our institution by reviewing medical records of patients treated with T-DXd until September 2023. Eligible patients had unresectable advanced or recurrent GC/GEJC, HER2 status of IHC 3 + or IHC 2 + /ISH-positive, and prior treatment with trastuzumab-containing regimen. RESULTS: Among the 101 patients analyzed, the initial T-DXd dose was 6.4 mg/kg in 77 patients and 5.4 mg/kg in 24 patients. The objective response rate was 54.3%, with a median PFS of 5.4 months and a median OS of 11.4 months. The significant prognostic factors for shorter PFS and OS included ECOG PS ≥ 1, presence of primary lesion, and peritoneal metastasis but not the initial T-DXd dose. ILD occurred in 14.9% of patients. Notably, higher T-DXd dose and smaller tumor burden were associated with a higher incidence of ILD. CONCLUSIONS: Several factors were associated with prognosis after T-DXd treatment in patients with GC/GEJC. Tumor burden is a potential risk factor for T-DXd-related ILD. Further studies are needed to optimize dosing based on tumor burden and to improve the therapeutic index.

Steady-State Drug Exposure of Repeated IV Bolus Administration for a One Compartment Pharmacokinetic Model with Sigmoidal Hill Elimination.

Drugs exhibiting nonlinear pharmacokinetics hold significant importance in drug research and development. However, evaluating drug exposure accurately is challenging with the current formulae established for linear pharmacokinetics. This article aims to investigate the steady-state drug exposure for a one-compartment pharmacokinetic (PK) model with sigmoidal Hill elimination, focusing on three key topics: the comparison between steady-state drug exposure of repeated intravenous (IV) bolus ( AUC ss ) and total drug exposure after a single IV bolus ( AUC 0 - ∞ ); the evolution of steady-state drug concentration with varying dosing frequencies; and the control of drug pharmacokinetics in multiple-dose therapeutic scenarios. For the first topic, we established conditions for the existence of AUC ss , derived an explicit formula for its calculation, and compared it with AUC 0 - ∞ . For the second, we identified the trending properties of steady-state average and trough concentrations concerning dosing frequency. For the third, we developed formulae to compute dose and dosing time for both regular and irregular dosing scenarios. As an example, our findings were applied to a real drug model of progesterone used in lactating dairy cows. In conclusion, these results provide a theoretical foundation for designing rational dosage regimens and conducting therapeutic trials.

Switching from Premixed Insulin to Insulin Degludec/Insulin Aspart for the Management of Type 2 Diabetes Mellitus: Implications of a Real-World Study on Insulin Degludec Dosing.

INTRODUCTION: When switching from premixed insulin to insulin degludec/aspart (IDegAsp), IDegAsp usually starts at the same dose as the premixed insulin according to limited clinical experience or at a dose according to clinician discretion. The dose of insulin degludec used in the real world after switching has been poorly investigated. METHODS: A retrospective analysis was conducted on patients with type 2 diabetes who switched from premixed insulin to IDegAsp from October 2016 to December 2023. Repeated measures analysis of variance was used to compare changes in insulin dose, glycated hemoglobin (HbA1c), fasting blood glucose (FBG), and postprandial blood glucose (PBG) before and after switching. RESULTS: Sixty-six patients with prior low-ratio premixed insulin and 22 with prior mid-ratio premixed insulin were included. Among the low-ratio insulin users, the total daily dose of insulin degludec (IDeg) decreased by 21.43% and 19.05% at 3 and 6 months, respectively, after switching, compared with prior basal insulin dose (both p < 0.001). Conversely, among mid-ratio insulin users, the IDeg daily dose increased by 10.71% and 32.14% at 3 and 6 months, respectively, after switching, compared with prior basal insulin dose (both p < 0.001). In all patients, HbA1c levels decreased by 0.70%, FBG decreased by 1.00 mmol/l, and PBG decreased by 1.61 mmol/l after 6 months of switching (all p < 0.05); the total daily insulin dose and injection frequency significantly decreased after switching (both p < 0.05); age and disease duration did not affect IDegAsp effects on HbA1c reduction. CONCLUSIONS: In the setting of transition to IDegAsp from premixed insulin, the dose of basal insulin in the premixed formulation can be a valuable reference for adjusting insulin degludec dose. IDegAsp is superior to premixed insulin in blood glucose control with reduced total daily dose and injection frequency. IDegAsp could be the best choice for the management of diabetes in elderly patients.

Impacts of age and BMI on vancomycin model choice in a Bayesian software: Lessons from a very large multi-site retrospective study.

BACKGROUND: Model-informed precision dosing (MIPD) optimizes drug doses based on pharmacokinetic (PK) model predictions, necessitating careful selection of models tailored to patient characteristics. This study evaluates the predictive performance of various vancomycin PK models across diverse age and BMI categories, drawing insights from a large multi-site database. METHODS: Adults receiving vancomycin intravenous therapy at United States health systems between January 1, 2022, and December 31, 2023, were included. Patient demographics, vancomycin administration records, and therapeutic drug monitoring levels (TDMs) were collected from the InsightRX database. Age and body mass index (BMI)-based subgroups were formed to assess model performance, with predictions made iteratively. The optimal model for each age-BMI subgroup was chosen based on predefined criteria: models were filtered for mean percentage error (MPE) ≤ 20% and normalized root mean squared error (RMSE) < 8 mg/L, and then the most accurate among them was selected. RESULTS: A total of 384,876 treatment courses across 155 US health systems were analyzed, contributing 841,604 TDMs. Eleven models were compared, showing varying accuracy across age-BMI categories (41%-73%), with higher accuracy observed once TDMs were available for Bayesian estimates of individual PK parameters. Models performed more poorly in younger adults compared to older adults, and the optimal model differed depending on age-BMI categories and prediction methods. Notably, in the a priori period, the Colin model performed best in adults aged 18-64 years across most BMI categories; the Goti/Tong model performed best in the older, non-obese adults; and the Hughes model performed best in many of the obese categories. CONCLUSION: Our study identifies specific vancomycin PK models that demonstrate superior predictions across age-BMI categories in MIPD applications. Our findings underscore the importance of tailored model selection for vancomycin management, especially highlighting the need for improved models in younger adult patients. Further research into the clinical implications of model performance is warranted to enhance patient care outcomes.

Toward a Clinical Decision Support System for Monitoring Therapeutic Antituberculosis Medical Drugs in Tanzania (Project TuberXpert): Protocol for an Algorithm' Development and Implementation.

BACKGROUND: The end tuberculosis (TB) strategy requires a novel patient treatment approach contrary to the one-size-fits-all model. It is well known that each patient's physiology is different and leads to various rates of drug elimination. Therapeutic drug monitoring (TDM) offers a way to manage drug dosage adaptation but requires trained pharmacologists, which is scarce in resource-limited settings. OBJECTIVE: We will develop an automated clinical decision support system (CDSS) to help practitioners with the dosage adaptation of rifampicin, one of the essential medical drugs targeting TB, that is known for large pharmacokinetic variability and frequent suboptimal blood exposure. Such an advanced system will encourage the spread of a dosage-individualization culture, including among practitioners not specialized in pharmacology. Thus, the objectives of this project are to (1) develop the appropriate population pharmacokinetic (popPK) model for rifampicin for Tanzanian patients, (2) optimize the reporting of relevant information to practitioners for drug dosage adjustment, (3) automate the delivery of the report in line with the measurement of drug concentration, and (4) validate and implement the final system in the field. METHODS: A total of 3 teams will combine their efforts to deliver the first automated TDM CDSS for TB. A cross-sectional study will be conducted to define the best way to display information to clinicians. In parallel, a rifampicin popPK model will be developed taking advantage of the published literature, complemented with data provided by existing literature data from the Pan-African Consortium for the Evaluation of Antituberculosis Antibiotics (panACEA), and samples collected within this project. A decision tree will be designed and implemented as a CDSS, and an automated report generation will be developed and validated through selected case studies. Expert pharmacologists will validate the CDSS, and finally, field implementation in Tanzania will occur, coupled with a prospective study to assess clinicians' adherence to the CDSS recommendations. RESULTS: The TuberXpert project started in November 2022. In July 2024, the clinical study in Tanzania was completed with the enrollment of 50 patients to gather the required data to build a popPK model for rifampicin, together with a qualitative study defining the report design, as well as the CDSS general architecture definition. CONCLUSIONS: At the end of the TuberXpert project, Tanzania will possess a new tool to help the practitioners with the adaptation of drug dosage targeting complicated TB cases (TB or HIV, TB or diabetes mellitus, and TB or malnutrition). This automated system will be validated and used in the field and will be proposed to other countries affected by endemic TB. In addition, this approach will serve as proof of concept regarding the feasibility and suitability of CDSS-assisted TDM for further anti-TB drugs in TB-burdened areas deprived of TDM experts, including second-line treatments considered important to monitor. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/58720.

Direct-Acting Oral Anticoagulants and Potential Inconsistencies with FDA-Approved Dosing for Non-Valvular Atrial Fibrillation: A Retrospective Real-World Analysis Across Nine US Healthcare Systems.

BACKGROUND: Direct-acting oral anticoagulants (DOACs) are recommended to reduce risk of stroke and systemic embolism in patients with non-valvular atrial fibrillation (NVAF). However, DOAC dosing inconsistent with FDA-approved product labels is common and associated with poor clinical outcomes. OBJECTIVES: Identify DOAC dosing inconsistent with FDA-approved product labels in ambulatory care patients with NVAF; identify variables associated with dosing lower and higher than label. DESIGN: Retrospective analysis using electronic health records from nine US healthcare systems. PATIENTS: Adults with NVAF receiving DOAC therapy in 2022. MAIN MEASURES: Rates of label-inconsistent dosing; multivariable regression analysis to identify demographic and clinical variables associated with dosing lower and higher than label. KEY RESULTS: Among 51,128 NVAF patients (56.1% male, 94.3% White, mean [SD] age 73.5 [10.5] years), 5008 (9.8%) were prescribed label-inconsistent doses of DOACs (6.8% lower and 3.0% higher than label). Age ≥ 75 years, renal impairment, and hypertension were significantly associated with inconsistent dosing both higher and lower than label. Female sex and higher weight were significantly associated with dosing lower than label, as were heart failure, vascular or liver disease, and bleeding history. Dosing higher than label was significantly associated with male sex, race (African American/Black), weight < 60 kg, and use of drugs with potential drug-drug interactions. When prescribed by primary care physicians, DOAC doses were 37% (95% CI, 27-49%) more likely to be lower than label and 30% (95% CI, 16-46%) more likely to be higher than label than when prescribed by cardiologists or electrophysiologists. Label-inconsistent dosing varied (6.7 to 15.8%) across participating systems. CONCLUSIONS: DOAC dosing inconsistent with label varied by demographics, clinical characteristics, prescriber specialty, and healthcare system, suggesting a need to monitor and assess dosing decisions in NVAF. Identification of variables associated with dosing inconsistencies may enable targeted interventions to ensure label-consistent dosing in vulnerable populations.

Medical Cannabis Dosing Trajectories of Patients: Evidence From Sales Data.

PURPOSE: Medical cannabis use is rising with limited high-quality clinical trial data to guide dosing. This study relies on real-world, longitudinal medical cannabis purchase data to provide information on Δ-9-tetrahydrocannabinol (THC) and cannabidiol (CBD) dosing trends for patients with qualifying medical conditions. METHODS: A retrospective study of purchases by 16,727 patients obtaining medical cannabis from dispensaries located in New York between 2016 and 2019, recorded in point-of-sale data. Group-based trajectory modeling was used to identify clusters of patients following similar progressions in dosing of THC and CBD over time. χ2 tests were performed to identify which patient characteristics and qualifying medical conditions were associated with membership in each trajectory group. FINDINGS: Six trajectory groups were identified that described different patterns in the THC and CBD doses that patients purchased over the whole time period. For THC, the majority of patients (62.6%) purchased a steady amount but at different levels: consistently low (4.1 mg) or moderate (7.4 mg). Three groups, representing 22.0% together, exhibited doses that either fluctuate or constantly increase over time (5-20 mg). A final group of patients (15.8%) exhibited constant decrease in dose from 11 to 5 mg. For CBD, the data show similar trajectories, but at the generally higher values (4-16 mg). Patients with chronic pain, neuropathy, and cancer were overrepresented in groups where higher doses of THC were purchased over time. Patients with epilepsy had a higher representation in groups with higher doses of CBD across time. IMPLICATIONS: Results suggest heterogeneous dosing patterns and trajectories in the use of medical cannabis by patients with different medical conditions.

Safety Profiles Related to Dosing Errors of Rapid-Acting Insulin Analogs: A Comparative Analysis Using the EudraVigilance Database.

Insulin is essential for treating type 1 diabetes and insulin-requiring type 2 diabetes. BACKGROUND/OBJECTIVES: Diabetes is a widespread condition that can lead to multiple and severe complications. Rapid-acting insulin analogs (RAIAs) and long-acting insulin analogs are prescribed for the effective management of diabetes. RAIAs are expected to be associated with a higher number of dosing errors because of their rapid onset, short duration of action, and the need for frequent dosing, compared to other insulin analogs. There are three approved RAIAs on the market: insulin lispro (LIS), insulin aspart (ASP), and insulin glulisine (GLU). The aim of this study is to evaluate the real-world evidence on dosing errors reported for RAIAs in EudraVigilance (EV), an established pharmacovigilance database, in comparison to other insulin analogs and human insulins. METHODS: A descriptive analysis and a disproportionality analysis were conducted. RESULTS: ASP and LIS were associated with high percentages of adverse drug reactions (ADRs) (22% and 17%, respectively), with over 70% of the reports involving serious ADRs. A higher frequency of cardiac and eye disorder ADRs was observed for LIS compared with ASP and GLU. GLU showed a higher frequency of ADRs in the skin and subcutaneous tissue disorders category. LIS dosing errors accounted for 5% of the total number of cases, while dosing errors for ASP and GLU were less than 3%. The most frequently reported dosing errors involved improper dosing (49%). CONCLUSIONS: Although there were fewer dosing errors of RAIAs in comparison to other insulins, the severity of the potential outcome highlights the importance of precise dosing and timing. Improved the monitoring and reporting of these dosing errors could enhance diabetes patient care. Additionally, smart medical devices could improve therapeutic outcomes.

First-line sunitinib treatment modification in patients with mRCC: nationwide analysis of the Swedish population.

Aim: Assess first-line sunitinib dosing for treatment of metastatic renal cell carcinoma in Swedish clinical practice (2006-2019).Materials & methods: Retrospective analysis of three sunitinib dosing regimens: 2-weeks on, 1-week off (2:1 Start); standard 4-weeks on, 2-weeks off (4:2) and 4:2 start with switch to 2:1 (2:1 Switch).Results: Time-to-treatment discontinuation (95% CI) differed significantly (p < 0.001): 6.2 (5.6-7.2), 13.9 (8.1-20.6) and 4.6 (4.3-5.6) months for 2:1 Start (n = 320), 2:1 Switch (n = 71) and 4:2 (n = 704), respectively. Overall survival (95% CI) differed significantly (p < 0.001): 21.8 (18.1-26.1), 32.2 (25.1-48.3) and 13.5 (12.3-15.8) months for 2:1 Start (n = 320), 2:1 Switch (n = 71) and 4:2 (n = 704), respectively.Conclusion: Alternative dosing does not compromise clinical efficacy and may provide advantages in terms of improved treatment outcomes. However, due to the changing treatment patterns during this long-term study, and the absence of patient risk category data, caution is required when interpreting the main outcomes.

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Comparison of Amoxicillin Administered Twice versus Four Times a Day in First-Line Helicobacter pylori Eradication Using Tegoprazan, Clarithromycin, and Bismuth: A Propensity Score Matching Analysis.

This study aimed to investigate the effects of different amoxicillin (AMX) dosing schedules on bismuth quadruple therapy in Helicobacter pylori treatment-naïve patients. A total of 139 H. pylori-infected patients received a 2-week eradication regimen consisting of 50 mg tegoprazan, 500 mg clarithromycin, and 300 mg bismuth tripotassium dicitrate twice daily, 1000 mg AMX twice daily (BID group), or 500 mg AMX four times daily (QID group). We performed a urea breath test to evaluate H. pylori eradication eight weeks after treatment and compared the H. pylori eradication rate, patient compliance, and adverse drug events between the BID and QID groups. Based on propensity score matching, 114 and 100 patients were included in intention-to-treat (ITT) and per-protocol (PP) analyses, respectively. The H. pylori eradication rate did not differ significantly according to the ITT (82.5% vs. 87.7%, p = 0.429) and PP (95.9% vs. 98.0%, p = 0.536) analyses between the BID and QID groups. No significant differences were found in treatment compliance or adverse drug event rates between the two groups. In conclusion, the eradication rate of first-line H. pylori therapy containing tegoprazan, clarithromycin, and bismuth was not affected by AMX dosing schedules administered twice and four times daily.

Impact of Age and Concurrent Antiseizure Medication Use on Lacosamide Dose to Concentration Ratio and Dosing in Pediatric Patients.

OBJECTIVE: To evaluate age, adjunctive antiseizure medication (ASM), and specific ASMs on lacosamide (LCM) weight normalized dose-to-concentration ratio (DCR) and US Food and Drug Administration (FDA) dosing guidelines in pediatric patients. METHODS: Patients 1 mo to ≤18 years with a LCM serum concentration between October 2009 and June 2017 were considered. Demographics, LCM DCR, and adjunctive ASM were recorded. LCM DCR/hr was used as a surrogate for clearance. Data were stratified by age (1 mo-< 2 yr; ≥ 2-6 yr; ≥ 6-12 yr; and ≥12-≤18 yr), FDA dosing weights, and ASM potential to interaction with LCM. RESULTS: There were 646 sera (380 patients) with median dose 8.36 mg/kg/day (IQR, 5.92-11.16). 50.2% of doses were within FDA-weight guidelines; however, 40.4% exceeded recommendations. Most (81.3%) LCM concentrations were between 2 and 12 mg/L. A difference existed in DCR between ages, with those <2 years having the highest DCR (p < 0.001). Moving across age groups, the DCR decreases by 30.7%, 50.5%, and 63.4%. There was a weak (r2 = 0.073) but significant (p < 0.001) negative correlation between DCR and age. 84.8% received adjunctive ASM consisting of at least one of 31 different ASMs. DCR was higher with adjunctive ASMs compared with monotherapy [0.061 (0.039-0.095) vs 0.043 (0.030-0.062)], respectively (p < 0.001) and was greatest with inducers. Phenobarbital increased DCR by 2.6-fold, topiramate by 72.1%, and clobazam by 32.6%. Inhibitors had no effect. CONCLUSIONS: The correlation between age and DCR was weak, accounting for 6% of variability. Strong inducers significantly increased DCR. Synergy may exist when multiple inducers are given. Weak inhibitors did not affect DCR. Those ≥6 to 11 kg, ≥30 to 50 kg, and those given strong inducers may require larger -initial LCM doses. Serum concentrations should be used to individualize dosing, especially in those receiving strong inducers.

A multicentric, randomized, controlled clinical trial to study the impact of bedside model-informed precision dosing of vancomycin in critically ill children-BENEFICIAL trial.

BACKGROUND: Vancomycin is a commonly prescribed antibiotic to treat serious Gram-positive infections in children. The efficacy of vancomycin is known to be directly related to the pharmacokinetic/pharmacodynamic (PK/PD) index of the area under the concentration-time curve (AUC) divided by the minimal inhibitory concentration (MIC) of the pathogen. In most countries, steady-state plasma concentrations are used as a surrogate parameter for this target AUC/MIC, but this practice has some drawbacks. Hence, AUC-based dosing using model-informed precision dosing (MIPD) tools has been proposed for increasing the target attainment rate and reducing vancomycin-related nephrotoxicity. Solid scientific evidence for these claimed benefits is lacking in children. This randomized controlled trial aims to investigate the large-scale utility of MIPD dosing of vancomycin in critically ill children. METHODS: Participants from 14 neonatal intensive care, pediatric intensive care, and pediatric hemo-oncology ward units from 7 hospitals are randomly allocated to the intervention or standard-of-care comparator group. In the intervention group, a MIPD dosing calculator is used for AUC-based dosing, in combination with extra sampling for therapeutic drug monitoring in the first hours of treatment, as compared to standard-of-care. An AUC24h between 400 and 600 is targeted, assuming an MIC of 1 mg/L. Patients in the comparator group receive standard-of-care dosing and monitoring according to institutional guidelines. The primary endpoint is the proportion of patients reaching the target AUC24h/MIC of 400-600 between 24 and 48 h after the start of vancomycin treatment. Secondary endpoints are the proportion of patients with (worsening) acute kidney injury during vancomycin treatment, the proportion of patients reaching target AUC24h/MIC of 400-600 between 48 and 72 h after the start of vancomycin treatment, time to clinical cure, ward unit length-of-stay, hospital length-of-stay, and 30-day all-cause mortality. DISCUSSION: This trial will clarify the propagated benefits and provide new insights into how to optimally monitor vancomycin treatment in critically ill children. TRIAL REGISTRATION: Eudract number: 2019-004538-40. Registered on 2020-09-08 ClinicalTrials.gov NCT046666948. Registered on 2020-11-28.

Linezolid Pharmacokinetic-Anemia Modeling in Children with Rifampicin-Resistant Tuberculosis.

BACKGROUND: Linezolid, an important component of rifampicin- and multidrug-resistant tuberculosis (RR/MDR-TB) treatment, is associated with treatment-limiting toxicities, including anemia. Patient-level and linezolid pharmacokinetic risk factors for anemia have not been well described in children treated for RR/MDR-TB. METHODS: We evaluated the pharmacokinetics of linezolid and longitudinal hemoglobin data to validate an existing population linezolid pharmacokinetic model. We assessed the impact of linezolid pharmacokinetics and the risk of developing anemia in a prospectively enrolled cohort of children. The validation of a previously published population pharmacokinetic linezolid model used nonlinear mixed effects modeling. A multivariable ordinal logistic regression model was built to predict the incidence of anemia. RESULTS: A total of 112 children, median age 7.2 (IQR: 2.2-16.3) years, were included from South Africa (n=87) and India (n=25). Of these, 24 children contributed new linezolid pharmacokinetic data. The population pharmacokinetic model which informs the currently recommended linezolid dosing in children (10-15 mg/kg) was validated with these additional new data. For every 1 g/dL lower baseline hemoglobin, the odds of developing grade 3 or 4 anemia increased by 2.64 (95% CI 1.98-3.62). For every 1 mg/L*h higher linezolid area under the concentration-time curve (AUC), the odds of developing a grade 3 or 4 anemia increased by 1.012 (95% CI 1.007-1.017). CONCLUSIONS: These data taken together, confirm currently recommended linezolid doses in children. The risk of anemia in children should be carefully considered and monitored throughout. Initiating linezolid in children with low baseline hemoglobin increases the probability of experiencing grade 3 or 4 anemia.

Prevalence and Risk Factors of Inappropriate Drug Dosing among Older Adults with Dementia or Cognitive Impairment and Renal Impairment: A Systematic Review.

Background: Potentially inappropriate medication prescribing is prevalent and well studied in older adults. However, limited data are available on inappropriate drug dosing in those with dementia or cognitive impairment and renal impairment. Objectives: We aimed to examine the prevalence of, and factors associated with, inappropriate drug dosing in older patients with dementia or cognitive impairment and renal impairment. Methods: We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline and the Cochrane Handbook for Systematic Reviews of Interventions. We searched Medline, Embase, CINAHL, and PubMed for studies on inappropriate drug dosing in older patients with dementia or cognitive impairment and renal impairment, published from 1 January 2000 to 31 August 2024, with English language restriction following the PICOS search strategy. Two reviewers independently screened all titles and abstracts, extracted data from included studies, and undertook quality assessment using the Joanna Briggs Institute (JBI) tool. Descriptive statistics were used to summarise and present findings. Results: In total, eight retrospective cohort studies were included. Of the total number of patients with dementia who had renal impairment (n = 5250), there were 2695 patients (51.3%; range: 0-60%) who had inappropriate drug dosing. Drugs commonly prescribed in inappropriate doses in patients with dementia who had renal impairment included memantine, baclofen, nonsteroidal anti-inflammatory drugs (NSAIDs), metformin, digoxin, morphine, and allopurinol. The studies did not identify statistically significant risk factors for inappropriate drug dosing. Conclusions: Inappropriate drug dosing among older adults with dementia or cognitive impairment and renal impairment appears to occur frequently. While our findings should be interpreted with caution owing to the small number of studies and substantial heterogeneity, proactive prevention, recognition, and management of inappropriate drug dosing in this population is warranted.

Drug dosing in obese critically ill patients, a literature review. / Dosificación de fármacos en el paciente obeso crítico, una revisión bibliográfica.

INTRODUCTION: The prevalence of obesity represents a significant global public health challenge, and the available evidence concerning the appropriate dosing of pharmaceutical in patients with obesity is limited. It is uncommon for clinical trials in critically ill patients to include obese individuals, which results in a lack of specific dosing information in product data sheets. The objective of this literature review is to provide clinicians with efficacious and secure guidelines for this cohort of patients. METHODS: A multidisciplinary team comprising pharmacists specialized in hospital pharmacy and physicians with expertise in intensive care medicine was established. The therapeutic groups and, in particular, the most commonly used active ingredients within the Intensive Care Unit were identified and subjected to detailed analysis. The following terms were included in the search: "obese", "overweight", "critical illness", "drug dosification", and "therapeutic dose monitoring". All the information was then evaluated by the working group, which reached a consensus on the dosing recommendations for each drug in obese critically ill patients. RESULTS: A total of 83 drugs belonging to the following therapeutic groups were identified: antivirals, antibacterials, antifungals, immunosuppressants, antiepileptics, vasopressors, anticoagulants, neuromuscular blocking agents and sedatives. A table was produced containing the consensus dosing recommendations for each of the aforementioned drugs following a review of the available evidence. CONCLUSIONS: Drug dosing in obese patients, both in critical and noncritical settings, remains an area with significant uncertainty. This review provides comprehensive and up-to-date information on the dosing of the main therapeutic groups in obese critically ill patients, offering a valuable resource physicians in critical care units and clinical pharmacists in their practice in this setting.

Total body weight estimation by 3D camera systems: Potential high-tech solutions for emergency medicine applications? A scoping review.

Background: Weight estimation is required in adult patients when weight-based medication must be administered during emergency care, as measuring weight is often not possible. Inaccurate estimations may lead to inaccurate drug dosing, which may cause patient harm. High-tech 3D camera systems driven by artificial intelligence might be the solution to this problem. The aim of this review was to describe and evaluate the published literature on 3D camera weight estimation methods. Methods: A systematic literature search was performed for articles that studied the use of 3D camera systems for weight estimation in adults. Data on the study characteristics, the quality of the studies, the 3D camera methods evaluated, and the accuracy of the systems were extracted and evaluated. Results: A total of 14 studies were included, published from 2012 to 2024. Most studies used Microsoft Kinect cameras, with various analytical approaches to weight estimation. The 3D camera systems often achieved a P10 of 90% (90% of estimates within 10% of actual weight), with all systems exceeding a P10 of 78%. The studies highlighted a significant potential for 3D camera systems to be suitable for use in emergency care. Conclusion: The 3D camera systems offer a promising method for weight estimation in emergency settings, potentially improving drug dosing accuracy and patient safety. Weight estimates were satisfactorily accurate, often exceeding the reported accuracy of existing weight estimation methods. Importantly, 3D camera systems possess characteristics that could make them very appropriate for use during emergency care. Future research should focus on developing and validating this methodology in larger studies with true external and clinical validation.

Dried Blood Spots Sampling and Population Pharmacokinetic Modeling for Dosing Optimization of Piperacillin in Chinese Neonates.

Piperacillin is commonly used off-label in neonates for the treatment of bacterial infections. This study aimed to assess a dried blood spots (DBS)-based microsampling strategy for supporting population pharmacokinetics and treatment optimization of piperacillin in Chinese neonates. DBS samples from neonatal patients were collected at predefined intervals. Drug blood concentrations were quantified using a validated ultra-high-performance liquid chromatography-tandem mass spectrometry method. A population pharmacokinetic model was developed using a nonlinear mixed-effects modeling approach. The pharmacokinetic/pharmacodynamics (PK/PD) target was 75% of the time with the unbound drug plasma concentration above the minimum inhibitory concentration (fT>MIC), with a toxicity threshold of unbound drug plasma trough concentration above 64 mg/L. A total of 45 piperacillin samples from 24 neonates were collected. The pharmacokinetics of piperacillin was described using a one-compartment model with postmenstrual age (PMA) as the most significant covariate on clearance. Simulations showed that dosing regimens achieving >90% PK/PD target attainment with <10% risk of possible toxicity were: PMA 33-35 weeks (50 mg/kg q12h), 35-37 weeks (50 mg/kg q8h), and 37-41 weeks (50 mg/kg q6h). In conclusion, Using DBS sampling, we developed a population pharmacokinetic model of piperacillin in Chinese neonates, incorporating PMA to determine optimal dosing regimens.