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Demonstrating Bioequivalence for Two Dose Strengths of Niraparib and Abiraterone Acetate Dual-Action Tablets Versus Single Agents: Utility of Clinical Study Data Supplemented with Modeling and Simulation

Clin Pharmacokinet. 2024 Mar 4. doi: 10.1007/s40262-023-01340-5. Online ahead of print.

ABSTRACT

BACKGROUND AND OBJECTIVE: The combination of niraparib and abiraterone acetate (AA) plus prednisone is under investigation for the treatment of patients with metastatic castration-resistant prostate cancer (mCRPC) and metastatic castration-sensitive prostate cancer (mCSPC). Regular-strength (RS) and lower-strength (LS) dual-action tablets (DATs), comprising niraparib 100 mg/AA 500 mg and niraparib 50 mg/AA 500 mg, respectively, were developed to reduce pill burden and improve patient experience. A bioequivalence (BE)/bioavailability (BA) study was conducted under modified fasting conditions in patients with mCRPC to support approval of the DATs.

METHODS: This open-label randomized BA/BE study (NCT04577833) was conducted at 14 sites in the USA and Europe. The study had a sequential design, including a 21-day screening phase, a pharmacokinetic (PK) assessment phase comprising three periods [namely (1) single-dose with up to 1-week run-in, (2) daily dose on days 1-11, and (3) daily dose on days 12-22], an extension where both niraparib and AA as single-agent combination (SAC; reference) or AA alone was continued from day 23 until discontinuation, and a 30-day follow-up phase. Patients were randomly assigned in a parallel-group design (four-sequence randomization) to receive a single oral dose of niraparib 100 mg/AA 1000 mg as a LS-DAT or SAC in period 1, and patients continued as randomized into a two-way crossover design during periods 2 and 3 where they received niraparib 200 mg/AA 1000 mg once daily as a RS-DAT or SAC. The design was powered on the basis of crossover assessment of RS-DAT versus SAC. During repeated dosing (periods 2 and 3, and extension phase), all patients also received prednisone/prednisolone 5 mg twice daily. Plasma samples were collected for measurement of niraparib and abiraterone plasma concentrations. Statistical assessment of the RS-DAT and LS-DAT versus SAC was performed on log-transformed pharmacokinetic parameters data from periods 2 and 3 (crossover) and from period 1 (parallel), respectively. Additional paired analyses and model-based bioequivalence assessments were conducted to evaluate the similarity between the LS-DAT and SAC.

RESULTS: For the RS-DAT versus SAC, the 90% confidence intervals (CI) of geometric mean ratios (GMR) for maximum concentration at a steady state (Cmax,ss) and area under the plasma concentration-time curve from 0-24 h at a steady state (AUC 0-24h,ss) were respectively 99.18-106.12% and 97.91-104.31% for niraparib and 87.59-106.69 and 86.91-100.23% for abiraterone. For the LS-DAT vs SAC, the 90% CI of GMR for AUC0-72h of niraparib was 80.31-101.12% in primary analysis, the 90% CI of GMR for Cmax,ss and AUC 0-24h,ss of abiraterone was 85.41-118.34% and 86.51-121.64% respectively, and 96.4% of simulated LS-DAT versus SAC BE trials met the BE criteria for both niraparib and abiraterone.

CONCLUSIONS: The RS-DAT met BE criteria (range 80%-125%) versus SAC based on 90% CI of GMR for Cmax,ss and AUC 0-24h,ss. The LS-DAT was considered BE to SAC on the basis of the niraparib component meeting the BE criteria in the primary analysis for AUC 0-72h; abiraterone meeting the BE criteria in additional paired analyses based on Cmax,ss and AUC 0-24h,ss; and the percentage of simulated LS-DAT versus SAC BE trials meeting the BE criteria for both.

GOV IDENTIFIER: NCT04577833.

PMID:38436924 | DOI:10.1007/s40262-023-01340-5

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Hepatitis C Virus-Related One-Year Hepatocellular Carcinoma Recurrence After Directly Acting Antivirals: A Randomized Controlled Trial

J Gastrointest Cancer. 2024 Mar 4. doi: 10.1007/s12029-024-01035-5. Online ahead of print.

ABSTRACT

PURPOSE: Available data on hepatocellular carcinoma (HCC) recurrence after direct-acting antivirals (DAAs) treatment for hepatitis C virus (HCV) are conflicting. No randomized trials were done. This study aims to compare the 1-year HCC recurrence rates in patients who received DAAs after tumor ablation versus those who postponed HCV treatment for 1 year.

METHODS: Included patients were randomized after complete HCC ablation into two groups: a postponed DAAs group for whom DAAs initiation was postponed for 12 months and a DAAs group who were given sofosbuvir/velpatasvir. Patients were followed for 1 year.

RESULTS: Eighty-four HCV patients with a mean age of 56.35 ± 8.12 years were included; 78.57% of them were males. The number of lesions per patient ranged from 1 to 3 lesions, and the size of the largest lesion ranged from 1.5 to 5 cm. There were no statistically significant differences between both groups regarding baseline characteristics. In the DAAs group (43 patients), 11 patients had HCC recurrence, while 25 patients in the postponed DAAs group (41 patients) had HCC recurrence. Using Kaplan-Meier analysis, the 1-year recurrence-free survival (RFS) was significantly higher in the DAAs group (72.2% vs. 38%, P = 0.001). On multivariate analysis, both higher albumin levels (HR 0.147, 95% CI 0.066-0.329) and receiving DAAs (HR 0.358, 95% CI 0.176-0.730) 1 year after ablation were associated with significantly lower recurrence.

CONCLUSION: Direct-acting antiviral usage after complete hepatocellular carcinoma ablation significantly decreases the 1-year HCC recurrence rates, but the risk of recurrence is still not eliminated. The study registration number on clinicaltrials.gov : NCT04653818 (initial release on 28/11/2020).

PMID:38436921 | DOI:10.1007/s12029-024-01035-5

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Long-term Results of Duodeno-jejunal Bypass in the Treatment of Obesity and Type 2 Diabetes

Obes Surg. 2023 Dec 19. doi: 10.1007/s11695-023-06979-4. Online ahead of print.

ABSTRACT

PURPOSE: Obesity and its related severe comorbidities are increasing rapidly. The duodenal-jejunal bypass is an endoscopically implanted device (mimicking the Roux-en-Y gastric bypass) developed to support weight reduction and improve type 2 diabetes control.

MATERIALS AND METHODS: Retrospective data analysis of consecutive patients undergoing duodenal-jejunal bypass (EndoBarrier®, DJB) implantation between 2013 and 2017 was performed to evaluate safety as well as short- and long-term efficacy.

RESULTS: One hundred and twenty-one patients (mean BMI of 43.1 ± 7.2 kg/m2 and weight of 138.2 ± 28.6 kg) underwent DJB implantation. The mean dwelling time was 15.5 months, the mean total body weight loss (%TBWL) after explantation was 10.3% ± 7.9% (14.2 kg, p < 0.0001), and the mean BMI was 39.5 ± 7.3 kg/m2 (p < 0.0001). There was no significant weight gain 24 months after the explantation. Seventy-seven patients had type 2 diabetes mellitus (T2DM) with a mean HbA1c before implantation of 5.6% (n = 52). The mean HbA1c after explantation was 5.1% (p = 0.0001). Significant reductions in transaminase and lipid levels before and after explantation were observed. One complication occurred during implantation and another during explantation. In 16 patients, the device had to be extracted earlier than expected (7 for severe adverse events and 9 for adverse events; 13.2%).

CONCLUSION: Despite an evident rate of adverse events, the DJB shows promise as a weight-loss procedure. Our results show that some patients implanted with the device maintained reduced weight even 24 months after explantation, while many improved T2DM control.

PMID:38436919 | DOI:10.1007/s11695-023-06979-4

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Factors Associated with the Awareness of and Willingness to Use HIV Pre-exposure Prophylaxis Among Gay, Bisexual, and Other Men Who Have Sex with Men, Baltimore, MD, 2017-2019

J Racial Ethn Health Disparities. 2024 Mar 4. doi: 10.1007/s40615-024-01954-w. Online ahead of print.

ABSTRACT

Pre-exposure prophylaxis (PrEP) is an effective tool in protecting persons from acquiring HIV infection through sex or injection drug use. However, awareness and willingness to use PrEP among Black gay, bisexual, and other men who have sex with men (BMSM) remain suboptimal compared to White MSM (WMSM) in the United States. Our aims were to (1) assess the factors associated with PrEP awareness and willingness to use PrEP among MSM and (2) compare the PrEP perceptions among BMSM versus non-Black MSM. Data were drawn from two cross-sectional behavioral surveys in Baltimore, MD: Behavioral Surveillance Research (BESURE) conducted in 2017, and Safe Spaces 4 Sexual Health (SS4SH), conducted in 2018 and 2019. Descriptive statistics were used to summarize the study population. We used Poisson regression models to identify variables associated with awareness of PrEP and willingness to use PrEP. PrEP perceptions were assessed via 13 items scored on a 5-point Likert scale. Finally, we conducted a post-hoc exploratory bivariate analysis of the relationship between PrEP perception and willingness to use PrEP, stratified by race/ethnicity. A total of 261 MSM participated in this study. Many of the participants were aware of PrEP (75.1%). Factors associated with greater PrEP awareness included having greater than a high school education (aRR 1.22, 95% CI 1.04, 1.43); and earning more than $25,000 annually (aRR 1.24, 95% CI 1.08, 1.42). Participants who had received money in exchange for sex one or more times were less likely to be aware of PrEP (aRR 0.59, 95% CI 0.36, 0.95). More than half of the participants were willing to use PrEP (55.3%). In bivariate and multivariable analyses, demographic or behavioral characteristics were not significantly associated with willingness to use PrEP. Higher agreement with the following statements was associated with lower willingness to use PrEP: “Having to take a pill every day is difficult” (RR 0.89, 95% CI 0.82-0.97) and, “I am concerned about the side effects of PrEP” (RR 0.89, 95% CI 0.82-0.96), and “PrEP is for people who have riskier sex lives than I do” (RR 0.86, 95% CI 0.78-0.95). Conversely, higher willingness to use PrEP was associated with comfortable having sex without a condom (RR 1.11, 95% CI 1.02-1.21), less anxious about sex (RR 1.12, 95% CI 1.02-1.24), and my friends think that I should take PrEP (RR 1.19, 95% CI 1.07-1.32). We found BMSM compared to non-Black MSM had higher mean scores related to taking a daily pill (p = 0.041), concerns about side effects (p = 0.012), concerns about people thinking they had HIV (p = 0.001), concerns about the financial costs of PrEP (p = 0.038) and caution when dealing with healthcare organizations/medical mistrust (p = 0.019). Perceptions with a statistically significant lower score among BMSM versus non-Black MSM included statements such as, comfortable having sex without a condom (p = 0.003) and less anxious about sex (p < 0.001). We conclude HIV prevention strategies, programs, and interventions should be cognizant of PrEP perceptions that facilitate or hinder PrEP uptake in Baltimore City, MD.

PMID:38436888 | DOI:10.1007/s40615-024-01954-w

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Vectorgastrogram: dynamic trajectory and recurrence quantification analysis to assess slow wave vector movement in healthy subjects

Phys Eng Sci Med. 2024 Mar 4. doi: 10.1007/s13246-024-01396-y. Online ahead of print.

ABSTRACT

Functional gastric disorders entail chronic or recurrent symptoms, high prevalence and a significant financial burden. These disorders do not always involve structural abnormalities and since they cannot be diagnosed by routine procedures, electrogastrography (EGG) has been proposed as a diagnostic alternative. However, the method still has not been transferred to clinical practice due to the difficulty of identifying gastric activity because of the low-frequency interference caused by skin-electrode contact potential in obtaining spatiotemporal information by simple procedures. This work attempted to robustly identify the gastric slow wave (SW) main components by applying multivariate variational mode decomposition (MVMD) to the multichannel EGG. Another aim was to obtain the 2D SW vectorgastrogram VGGSW from 4 electrodes perpendicularly arranged in a T-shape and analyse its dynamic trajectory and recurrence quantification (RQA) to assess slow wave vector movement in healthy subjects. The results revealed that MVMD can reliably identify the gastric SW, with detection rates over 91% in fasting postprandial subjects and a frequency instability of less than 5.3%, statistically increasing its amplitude and frequency after ingestion. The VGGSW dynamic trajectory showed a statistically higher predominance of vertical displacement after ingestion. RQA metrics (recurrence ratio, average length, entropy, and trapping time) showed a postprandial statistical increase, suggesting that gastric SW became more intense and coordinated with a less complex VGGSW and higher periodicity. The results support the VGGSW as a simple technique that can provide relevant information on the “global” spatial pattern of gastric slow wave propagation that could help diagnose gastric pathologies.

PMID:38436885 | DOI:10.1007/s13246-024-01396-y

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Single Versus Second Observer vs Artificial Intelligence to Increase the ADENOMA Detection Rate of Colonoscopy-A Network Analysis

Dig Dis Sci. 2024 Mar 4. doi: 10.1007/s10620-024-08341-9. Online ahead of print.

ABSTRACT

BACKGROUND AND AIMS: Screening colonoscopy has significantly contributed to the reduction of the incidence of colorectal cancer (CRC) and its associated mortality, with adenoma detection rate (ADR) as the quality marker. To increase the ADR, various solutions have been proposed including the utilization of Artificial Intelligence (AI) and employing second observers during colonoscopies. In the interest of AI improving ADR independently, without a second observer, and the operational similarity between AI and second observer, this network meta-analysis aims at evaluating the effectiveness of AI, second observer, and a single observer in improving ADR.

METHODS: We searched the Medline, Embase, Cochrane, Web of Science Core Collection, Korean Citation Index, SciELO, Global Index Medicus, and Cochrane. A direct head-to-head comparator analysis and network meta-analysis were performed using the random-effects model. The odds ratio (OR) was calculated with a 95% confidence interval (CI) and p-value < 0.05 was considered statistically significant.

RESULTS: We analyzed 26 studies, involving 22,560 subjects. In the direct comparative analysis, AI demonstrated higher ADR (OR: 0.668, 95% CI 0.595-0.749, p < 0.001) than single observer. Dual observer demonstrated a higher ADR (OR: 0.771, 95% CI 0.688-0.865, p < 0.001) than single operator. In network meta-analysis, results were consistent on the network meta-analysis, maintaining consistency. No statistical difference was noted when comparing AI to second observer. (RR 1.1 (0.9-1.2, p = 0.3). Results were consistent when evaluating only RCTs. Net ranking provided higher score to AI followed by second observer followed by single observer.

CONCLUSION: Artificial Intelligence and second-observer colonoscopy showed superior success in Adenoma Detection Rate when compared to single-observer colonoscopy. Although not statistically significant, net ranking model favors the superiority of AI to the second observer.

PMID:38436866 | DOI:10.1007/s10620-024-08341-9

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Robot-assisted laparoscopic nephrectomy: early outcome measures with the implementation of multimodal analgesia and intrathecal morphine via the acute pain service

World J Urol. 2024 Mar 4;42(1):117. doi: 10.1007/s00345-024-04801-z.

ABSTRACT

PURPOSE: The objective of this study was to perform a retrospective cohort analysis, in which we measured the association of an acute pain service (APS)-driven multimodal analgesia protocol that included preoperative intrathecal morphine (ITM) compared to historic controls (i.e., surgeon-driven analgesia protocol without ITM) with postoperative opioid use.

METHODS: This was a retrospective cohort study in which the primary objective was to determine whether there was a decrease in median 24-h opioid consumption (intravenous morphine equivalents [MEQ]) among robotic nephrectomy patients whose pain was managed by the surgical team prior to the APS, versus pain managed by APS. Secondary outcomes included opioid consumption during the 24-48 h and 48-72 h period and hospital length of stay. To create matched cohorts, we performed 1:1 (APS:non-APS) propensity score matching. Due to the cohorts occurring at the different time periods, we performed a segmented regression analysis of an interrupted time series.

RESULTS: There were 76 patients in the propensity-matched cohorts, in which 38 (50.0%) were in the APS cohort. The median difference in 24-h opioid consumption in the pre-APS versus APS cohort was 23.0 mg [95% CI 15.0, 31.0] (p < 0.0001), in favor of APS. There were no differences in the secondary outcomes. On segmented regression, there was a statistically significant drop in 24-h opioid consumption in the APS cohort versus pre-APS cohort (p = 0.005).

CONCLUSIONS: The implementation of an APS-driven multimodal analgesia protocol with ITM demonstrated a beneficial association with postoperative 24-h opioid consumption following robot-assisted nephrectomy.

PMID:38436828 | DOI:10.1007/s00345-024-04801-z

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Predicting the risk of pulmonary infection in patients with chronic kidney failure: A-C2GH2S risk score-a retrospective study

Int Urol Nephrol. 2024 Mar 4. doi: 10.1007/s11255-024-03953-6. Online ahead of print.

ABSTRACT

PURPOSE: The objective of this study is to investigate the associated risk factors of pulmonary infection in individuals diagnosed with chronic kidney disease (CKD). The primary goal is to develop a predictive model that can anticipate the likelihood of pulmonary infection during hospitalization among CKD patients.

METHODS: This retrospective cohort study was conducted at two prominent tertiary teaching hospitals. Three distinct models were formulated employing three different approaches: (1) the statistics-driven model, (2) the clinical knowledge-driven model, and (3) the decision tree model. The simplest and most efficient model was obtained by comparing their predictive power, stability, and practicability.

RESULTS: This study involved a total of 971 patients, with 388 individuals comprising the modeling group and 583 individuals comprising the validation group. Three different models, namely Models A, B, and C, were utilized, resulting in the identification of seven, four, and eleven predictors, respectively. Ultimately, a statistical knowledge-driven model was selected, which exhibited a C-statistic of 0.891 (0.855-0.927) and a Brier score of 0.012. Furthermore, the Hosmer-Lemeshow test indicated that the model demonstrated good calibration. Additionally, Model A displayed a satisfactory C-statistic of 0.883 (0.856-0.911) during external validation. The statistical-driven model, known as the A-C2GH2S risk score (which incorporates factors such as albumin, C2 [previous COPD history, blood calcium], random venous blood glucose, H2 [hemoglobin, high-density lipoprotein], and smoking), was utilized to determine the risk score for the incidence rate of lung infection in patients with CKD. The findings revealed a gradual increase in the occurrence of pulmonary infections, ranging from 1.84% for individuals with an A-C2GH2S Risk Score ≤ 6, to 93.96% for those with an A-C2GH2S Risk Score ≥ 18.5.

CONCLUSION: A predictive model comprising seven predictors was developed to forecast pulmonary infection in patients with CKD. This model is characterized by its simplicity, practicality, and it also has good specificity and sensitivity after verification.

PMID:38436825 | DOI:10.1007/s11255-024-03953-6

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Smartphone and Wearable Device-Based Digital Phenotyping to Understand Substance use and its Syndemics

J Med Toxicol. 2024 Mar 4. doi: 10.1007/s13181-024-01000-5. Online ahead of print.

ABSTRACT

Digital phenotyping is a process that allows researchers to leverage smartphone and wearable data to explore how technology use relates to behavioral health outcomes. In this Research Concepts article, we provide background on prior research that has employed digital phenotyping; the fundamentals of how digital phenotyping works, using examples from participant data; the application of digital phenotyping in the context of substance use and its syndemics; and the ethical, legal and social implications of digital phenotyping. We discuss applications for digital phenotyping in medical toxicology, as well as potential uses for digital phenotyping in future research. We also highlight the importance of obtaining ground truth annotation in order to identify and establish digital phenotypes of key behaviors of interest. Finally, there are many potential roles for medical toxicologists to leverage digital phenotyping both in research and in the future as a clinical tool to better understand the contextual features associated with drug poisoning and overdose. This article demonstrates how medical toxicologists and researchers can progress through phases of a research trajectory using digital phenotyping to better understand behavior and its association with smartphone usage.

PMID:38436819 | DOI:10.1007/s13181-024-01000-5

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Effects of different intervention methods on psychological anxiety, stress, and fatigue among healthcare workers during COVID-19 pandemic: a systematic review and meta-analysis

Eur Rev Med Pharmacol Sci. 2024 Feb;28(4):1614-1623. doi: 10.26355/eurrev_202402_35491.

ABSTRACT

OBJECTIVE: This study aimed to explore the treatment effects of various intervention methods on the stress, anxiety, and fatigue of medical workers during the 2019 Coronavirus Disease (COVID-19) pandemic.

MATERIALS AND METHODS: We conducted computer searches in both Chinese and English databases including China National Knowledge Infrastructure (CNKI), Wanfang Data Knowledge Service Platform (Wang Fang), VIP Chinese Journal Service Platform (VIP), Web of Science, Embase, PubMed, Cochrane Library, Scopus, and ScienceDirect to include prospective randomized controlled studies (Prospective RCT) published before September 30, 2023, regarding different treatment methods for stress, anxiety, and fatigue among healthcare workers during COVID-19. Data on anxiety, stress, and fatigue of research participants were extracted from the included studies, followed by statistical analysis of treatment effects using R software with the meta package.

RESULTS: A total of 9 articles were eventually included, involving a total of 1,466 participants, including 686 in the control group and 780 in the study group. Intervention measures included mindfulness-based therapy in 4 studies and other intervention methods in 5. The anxiety status of the health workers was assessed using the Generalized Anxiety Disorder-7 (GAD-7), and the meta-analysis revealed a pooled mean difference (MD) of -0.53 (95% CI: -1.42, 0.37). Stress status was evaluated by Perceived Stress Scale 4 (PSS-4), and the meta-analysis results showed a post-treatment MD of 0.13 (95% CI: -0.39, 0.65), with a pre- and post-treatment difference MD of -0.44 (95% CI: -2.65, 1.76). Maslach Burnout Inventory (MBI) was employed for the evaluation of fatigue. The meta-analysis results showed an MD of -6.13 (95% CI: -16.68, 4.43) for the MBI Emotional index, an MD of 5.04 (95% CI: -3.25, 13.33) for the Personal Accomplishment index, and an MD of -1.68 (95% CI: -6.50, 3.13) for the Depersonalization index.

CONCLUSIONS: Maintaining the mental health of frontline health workers is crucial during the COVID-19 pandemic, and mindfulness-based therapy is the most extensively employed psychological intervention method. However, its effectiveness requires further research confirmation.

PMID:38436194 | DOI:10.26355/eurrev_202402_35491