Clinical therapeutics最新文献

Background: It is still being determined if prophylaxis (PR) has superior cost effectiveness compared with on-demand (OD) treatment for moderate or severe hemophilia A (HA) children in China.

Objective/purpose: To evaluate the cost-effectiveness of PR and OD treatment for children with moderate or severe HA without inhibitors in China.

Methods: A retrospective cost-effectiveness study was conducted on 640 HA children (373 and 267 children were on the PR and OD treatment, respectively) from January 2021 to November 2022. The Markov model was used to estimate the economic and clinical outcomes and would run for 17 yearly cycles with the initial age at 2 years. The transfer probabilities were extracted from the data of "Hemophilia Home Care Center" and the literature published. All patients' drug costs were collected from the data of "Hemophilia Home Care Center". One-way and probabilistic sensitivity analyses were conducted on the data to evaluate the robustness of the results.

Results/findings: PR was consistently associated with higher overall quality-adjusted life years (QALYs) compared with OD treatment (9.59 QALYs vs. 6.85 QALYs). The incremental cost-effectiveness ratio (ICER) of PR compared with the OD treatment was calculated to be approximately US$12,151.35 (RMB¥81,778.55) per QALY gained. This amount was lower than the willingness-to-pay (WTP) threshold of US$38,212.74 (RMB¥257,171.71). One-way sensitivity analysis found that the results were sensitive to the cost of OD and PR treatments.

Conclusions/implications: This study indicated that PR is cost-effective compared with OD treatment for children with moderate or severe HA without inhibitors in China.

Purpose: This meta-analysis aimed to evaluate the performance of machine learning (ML) models in predicting postoperative delirium (POD) and to provide guidance for clinical application.

Methods: PubMed, Embase, Cochrane Library, and Web of Science databases were searched from inception to April 29, 2024. Studies reported ML models for predicting POD in adult patients were included. Data extraction and risk of bias assessment were performed using the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis - AI (TRIPOD-AI) and Prediction model Risk Of Bias ASsessment Tool (PROBAST) tools. Meta-analysis with the area under the curve (AUC) was performed using MedCalc software.

Findings: A total of 23 studies were included after screening. Age (n = 20, 86.95%) and Random Forest (RF) (n = 24, 17.27%) were the most frequently used feature and ML algorithm, respectively. The meta-analysis showed an overall AUC of 0.792. The ensemble models (AUC = 0.805) showed better predictive performance than single models (AUC = 0.782). Additionally, considerable variations in AUC were found among different ML algorithms, with AdaBoost (AB) demonstrating good performance with AUC of 0.870. Notably, the generalizability of these models was uncertain due to limitations in external validation and bias assessment.

Implications: The performance of ensemble models were higher than single models, and the AB algorithms demonstrated better performance, compared with other algorithms. However, further research was needed to enhance the generalizability and transparency of ML models.

Purpose: Carbapenem-resistant Acinetobacter baumannii (CRAB) is an important nosocomial pathogen. The capsular type (K-type) is considered a major virulence factor, contributing to the evasion of host defenses. The global spread and dissemination dynamics between K-types, sequence types (ST), antibiotic resistance genes, and virulence factors remain largely unknown in Portugal.

Methods: A collection of 96 CRAB clinical samples collected between 2005 and 2019 in the northern region of Portugal were tested for antimicrobial susceptibility profile and screened by polymerase chain reaction for resistance genetic determinants. A subset of 26 representative isolates was subjected to whole-genome sequencing to assess K types, ST types, and genomic relatedness. The pathogenicity of distinct K-types was also tested using Galleria mellonella model.

Findings: For the 96 CRAB isolates analyzed, high antimicrobial resistance (>90%) was observed to the carbapenems, fluoroquinolones, and miscellaneous agents. Greater antimicrobial susceptibility (∼30%-57%) was observed for aminoglycosides, particularly tobramycin, and amikacin. Genotypically, 75 strains (78.5%) carried bla_OXA-23-like, 18 strains (18.8%) carried bla_IMP-like, and 11 strains (14.9%) carried bla_OXA-40-like carbapenem resistance genes, respectively. Associations between OXA and ST/capsular locus (KL) types were observed over the years (eg, OXA-40-like/ST46^Past/KL120 and OXA-23-like/ST2^Past/KL2). ST2^Past of clonal complex II was present in most strains, a dominant drug-resistant lineage in the United States and Europe. KL7 was also the most prevalent KL-type (38.5%), followed by KL2 (34.6%), KL120 (23.1%), and KL9 (3.8%). Virulence assessment for different K-types in a Galleria mellonella model revealed a significantly increased virulence for KL120 when compared with KL7, KL9, and KL2.

Implications: There are specific CRAB serotypes circulating in Portugal, accounting by the low diversity of acquired carbapenemase genes (OXA-23-like and OXA-40-like), ST types (ST2 and ST46) and KL types (KL2, KL7, KL9, and KL120) identified. The high prevalent of ST2, especially when associated with KL2 and bla_OXA-23-like, suggest that antibiotic resistance has been driven by clonal expansion of clonal complex II. Such findings provide useful information on the diversity of multidrug-resistant bacterium that might be relevant for antibacterial interventions.

Purpose: During the coronavirus disease 2019 (COVID-19) pandemic, professional organizations suggested extending dosing intervals for systemic cancer therapies to limit in-person visits. Mogamulizumab, indicated for adults with relapsed or refractory mycosis fungoides (MF) or Sézary syndrome (SS) after ≥1 prior systemic therapy, should be administered every 7 days of the first 28-day cycle (loading) and every 14 days of each subsequent cycle (maintenance) according to the approved prescribing information in the United States (US). This study examined the real-world use of mogamulizumab before and during the COVID-19 pandemic in the US.

Methods: Using Symphony Health's Integrated Dataverse (IDV) database, adults with ≥1 diagnosis of MF or SS and ≥1 mogamulizumab claim between October 1, 2018 and December 22-, 2022 were identified. Patients in MF and SS cohorts were divided into 3 subgroups based on the date they initiated mogamulizumab treatment: pre-COVID-19 (October 1, 2018-March 31, 2020), COVID-19 Phase 1 (April 1, 2020-July 31, 2021), and COVID- 19 Phase 2 (August 1, 2021-December 22, 2022).

Findings: During the study, 270 patients with MF and 337 patients with SS initiated mogamulizumab. The pre-COVID-19, COVID-19 Phase 1, and COVID-19 Phase 2 subgroups included 95, 81, and 94 patients with MF and 124, 119, and 94 patients with SS, respectively. In the MF cohort, mean loading dosing intervals were 13, 12, and 9 days for the pre-COVID-19, COVID-19 Phase 1, and COVID-19 Phase 2 subgroups, respectively, and mean maintenance dosing intervals were 16, 16, and 16 days, respectively. In the SS cohort, mean loading dosing intervals were 16, 11, and 11 days, and mean maintenance dosing intervals were 19, 18, and 16 days, respectively. For both cohorts, more patients in the COVID-19 Phase 1 and Phase 2 subgroups than in the pre-COVID-19 subgroup had gaps of ≤10 days between loading doses and ≤21 days between maintenance doses.

Implications: In patients with MF and SS, loading dosing intervals in the pre-COVID-19 period were longer than the loading schedule per the approved prescribing information, but there was a trend towards closer concordance in the COVID-19 periods. Maintenance dosing intervals in patients with MF were consistently similar to the approved schedule across treatment periods, and in patients with SS became more closely aligned over time. Thus, dosing intervals for mogamulizumab in both loading and maintenance cycles do not appear to have been extended during the COVID-19 Phase 1 and Phase 2 periods compared with the pre-COVID-19 period, despite recommendations to extend dosing intervals for systemic cancer therapies during COVID-19.

Purpose: Dexmedetomidine is often used for longer than its labeled indication of 24 hours, raising concerns for potential withdrawal. Data are limited regarding this syndrome in adult patients. This study aimed to further characterize dexmedetomidine withdrawal in critically ill adult patients after prolonged use.

Methods: This was an institutional review board-approved, single-center, retrospective chart review conducted at a tertiary academic medical center. Adult intensive care unit (ICU) patients on dexmedetomidine for ≥72 hours in 2019 were screened for inclusion. Exclusion criteria were interruption of dexmedetomidine for >6 hours, indications for dexmedetomidine other than sedation, or patients with neurological or burn injury. The major end point was the incidence of dexmedetomidine withdrawal, defined as meeting ≥2 of the following criteria within 24 hours of discontinuation: newly positive Confusion Assessment Method for ICU, Richmond Agitation Sedation Scale score of ≥+2, hypertension, and tachycardia. Minor end points were incidence of individual withdrawal signs as previously described, additional sedatives or antipsychotics required, dose and duration of dexmedetomidine infusion, length of ventilation, ICU and hospital length of stay, and new onset of the following: fever, vomiting, loose stools/diarrhea, diaphoresis, or seizure.

Findings: Of the 152 patients included, dexmedetomidine withdrawal occurred in 54 patients (35.5%). Rebound hypertension was the most common withdrawal sign (47 patients [87.0%]). In the withdrawal group, significantly more patients required additional β-blockers (29 [53.7%] vs 10 [10.2%]; P < 0.01), were reinitiated on dexmedetomidine (16 [29.6%] vs 10 [10.2%]; P < 0.01), and required a start or increased dose of clonidine (6 [11.1%] vs 3 [3.1%]; P = 0.04). There was no significant difference in the cumulative dose or duration of dexmedetomidine between the groups. Length of ventilation was longer in the withdrawal group (171 hours [83.7-280.8 hours] vs 159 hours [149.0-335.7 hours]; P < 0.01), but there was no difference in ICU or hospital length of stay.

Implications: Prolonged use of dexmedetomidine was associated with withdrawal syndrome in 35.5% of patients in our study. Larger trials are needed to confirm the risk factors for dexmedetomidine withdrawal and identify measures to prevent withdrawal.

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.

Purpose: This study aimed to investigate the incidence, timing, risk factors, and impacts of invasive Candida infections (ICIs) within 3 months after liver transplantation (LT) on LT recipients' prognosis.

Methods: Patients undergoing LT from January 2015 to December 2022 in a tertiary university hospital were investigated the incidence, onset, and risk factors of ICIs and the effects of ICIs on the outcome of LT recipients using statistical methods.

Findings: The mean age of involved 389 LT recipients was 47.3 ± 10.5 years, with 322 (82.8%) being men. The incidence of ICIs was 3.3% (13/389), and the median time between LT and onset of ICIs was 5.0 days. The univariate analysis of predictors of ICIs identified that massive blood loss, prolonged duration of central line and urethral catheter, and prophylactic antifungal therapy were related to post-LT ICI risk. Multivariate logistic regression analysis adjusted for men and age identified that intraoperative blood loss ≥5000 mL (odds ratio [OR] = 7.005, 95% CI: 2.084-23.542, P = 0.002) and central line duration >14 days (OR = 5.270, 95% CI: 1.556-17.854, P = 0.008) were independently associated with the development of post-LT ICIs. Post-LT prophylactic antifungal therapy >3 days reduced ICIs (OR = 0.103, 95% CI: 0.021-0.501, P = 0.005). Regarding clinical outcomes, patients with ICIs were more likely to stay in the intensive care unit for 7 days or longer compared with those without ICIs (OR = 6.910, 95% CI: 1.737-27.493, P = 0.006). ICIs had no impact on hospitalization stay and 1-month all-cause mortality after LT.

Implications: ICIs are frequent and occur early after LT. Predictors of post-LT ICIs were massive intraoperative blood loss and prolonged duration of the central line. However, post-LT prophylactic antifungal therapy reduced ICIs. Patients with ICIs stayed longer in the intensive care unit than those without ICIs.

Purpose: The use of real-world evidence (RWE) in regulatory reviews and approvals is currently experiencing significant changes amid increasingly active discussions, primarily reflected in relevant policies, regulations, and guidance documents. However, disparities persist between China and the United States regarding the acceptance and formulation of policies for incorporating real-world data/evidence (RWD/E) in regulatory evaluation and authorization. Furthermore, the current policies lack specific operational details necessary for effective implementation and widespread adoption.

Methods: After conducting a systematic literature review and comparing relevant policies, regulations, and guidelines, as well as the related information published on their official websites, we analyze key aspects of RWE-based drug review and approval policies to highlight similarities and differences in these policies between China and the United States.

Findings: This paper reviews the frameworks and existing guidelines in China and the U.S., discussing similarities and differences observed in key policy aspects, including relevant definitions, data sources, data standards, data quality, and connectivity, information requirements, study design, personnel training, and communication, including an example of the application of RWE in drug review and approval processes.

Implications: Further develop and refine RWE policies, encourage cooperation, and share best practices and successful examples to enhance the effectiveness of policy implementation and increase its social acceptance.

Purpose: Intravenous immunoglobulin (IVIG) is used to treat various immune system disorders, but the factors influencing its disposition are not well understood. This study aimed to estimate the population pharmacokinetic parameters of IVIG and to investigate the effect of genetic polymorphism of the FCGRT gene encoding the neonatal Fc receptor (FcRn) and clinical variability on the pharmacokinetic properties of IVIG in patients with immune system disorders.

Methods: Patients were recruited from 4 hospitals in Malaysia. Clinical data were recorded, and blood samples were taken for pharmacokinetic and genetic studies. Population pharmacokinetic parameters were estimated by nonlinear mixed-effects modeling in Monolix. Age, weight, baseline immunoglobulin G concentration, ethnicity, sex, genotype, disease type, and comorbidity were investigated as potential covariates. Models were evaluated using the difference in objective function value, goodness-of-fit plots, visual predictive checks, and bootstrap analysis.

Findings: A total of 292 blood samples were analyzed from 79 patients. The IVIG concentrations were best described by a 2-compartment model with linear elimination. Weight was found to be an important covariate for volume of distribution in the central compartment (Vc), volume of distribution in the peripheral compartment (Vp), and clearance in the central compartment, whereas disease type was found to be an important covariate for Vp. Goodness-of-fit plots indicated that the model fit the data adequately. Genetic polymorphism of the FCGRT gene encoding the neonatal Fc receptor did not affect the pharmacokinetic properties of IVIG.

Implications: This study supports the use of dosage based on weight as per current practice. The study findings highlight that Vp is significantly influenced by the type of disease being treated with IVIG. This relationship suggests that different disease types, particularly inflammatory and autoimmune conditions, may alter tissue permeability and fluid distribution due to varying degrees of inflammation. Increased inflammation can lead to enhanced permeability and retention of IVIG in peripheral tissues, reflecting higher Vp values.