Analysis Of Clinical Trial Data Research Articles

Advancements in PNH treatment: Crovalimab’s clinical efficacy

Paroxysmal Nocturnal Hemoglobinuria (PNH) is a rare, life-threatening hematologic disease which is characterized by the destruction of red blood cells, leading to a range of severe symptoms and complications. Recent advancements in drug therapies have significantly improved the prognosis for PNH patients. This editorial comprises the impact of PNH drugs, focusing on eculizumab and ravulizumab and comparing it to the recently approved complement inhibitor, crovalimab which targets the complement system to prevent hemolysis. The discussion includes an analysis of clinical trial data and patient outcomes. The editorial mainly addresses emerging therapies like Crovalimab, that promise to offer more comprehensive, complete blockage of complement system and low-dose solutions reducing the treatment hassle while simultaneously appealing to a wider range of patients.

Insomnia treatment effects on negative emotionality among veterans in treatment for alcohol use disorder.

Insomnia symptoms are pervasive and persistent in alcohol use disorder (AUD), though little is known about the mechanisms that underlie this association. We previously found that cognitive behavioral therapy for insomnia (CBT-I) reduced alcohol-related problems among veterans by improving insomnia severity (NCT03806491). In this planned secondary analysis of the same clinical trial data, we tested negative emotionality as one potential mechanism to explain this effect. Specifically, we tested the change in negative emotionality as a mediator of the association between change in insomnia symptoms and alcohol-related outcomes (craving, heavy drinking frequency, and alcohol-related problems). Participants were 67 veterans in treatment for AUD who also met the criteria for insomnia disorder (91% male, 84% White, average age = 46.3 years). Participants were randomized to five sessions of CBT-I or a single-session sleep hygiene control. Assessments occurred at baseline, immediately posttreatment (~6 weeks after baseline), and at 6-week follow-up. Measures included the Insomnia Severity Index, Penn Alcohol Craving Scale, Timeline Followback, and Short Inventory of Problems. We created a latent negative emotionality indicator based on five validated and reliable measures of negative emotionality. Contrary to hypotheses, CBT-I did not improve negative emotionality relative to sleep hygiene control. However, across both treatment conditions, decreases in insomnia symptoms from baseline to posttreatment were associated with concurrent decreases in negative emotionality, which in turn predicted reductions in alcohol craving and heavy drinking. Negative emotionality may help explain links between insomnia symptoms and alcohol-related outcomes.

Streamlining Clinical Trial Data from Raw to Regulatory Submission with R Shiny and Pharmaverse

In recent years, the pharmaceutical and biotech industries have increasingly adopted open-source tools to enhance the efficiency, transparency, and reproducibility of clinical trial data analysis. R Shiny, a web application framework for R, has become a key component in creating interactive dashboards and visualizations that support real-time data exploration and decision-making. As part of the Pharmaverse ecosystem, R Shiny plays a vital role in regulatory submissions, data analysis, and reporting, offering dynamic, user-friendly interfaces for clinical trial monitoring, patient safety reporting, and efficacy analysis. This abstract explores the application of R Shiny within the Pharmaverse, emphasizing its seamless integration with tools such as Tplyr and admiral for generating CDISC-compliant SDTM and ADaM datasets. Metadata management and validation are facilitated through OAK, ensuring consistency and traceability. The automated creation of Define.xml using tools like defineR further enhances transparency and regulatory compliance. Through case studies and practical examples, this abstract highlights how R Shiny and related tools improve data transparency, accelerate decision-making, and support regulatory compliance in clinical trials. By leveraging these open-source technologies, clinical trial teams can streamline data workflows, enhance collaboration, and improve outcomes, ultimately driving innovation within the pharmaceutical industry. The integration of these tools into a cohesive framework significantly enhances the submission process to regulatory bodies like the FDA and EMA, ensuring that clinical data meets both industry and regulatory standards.

A multiparametric heart failure score at baseline is associated with long-term outcome in patients with remotely monitored implantable cardioverter-defibrillators: A pooled analysis of 9 clinical trials

BackgroundTo predict worsening heart failure hospitalizations (WHFHs), the HeartInsight multiparametric algorithm calculates a heart failure (HF) score based on temporal trends of physiologic parameters obtained through automatic daily remote monitoring of implantable cardioverter-defibrillators (ICDs). ObjectiveWe studied the association of the baseline HF score, determined at algorithm activation, with long-term patient outcomes. MethodsData from 9 clinical trials were pooled, including 1841 ICD patients with a preimplantation ejection fraction ≤35%, New York Heart Association class II/III, and no long-standing atrial fibrillation. The primary end point was a composite of death or WHFH. ResultsAfter a median follow-up of 631 days (interquartile range, 385–865 days), there were 243 WHFHs in 173 patients (9.4%) and 122 deaths (6.6%), 52 of which (42.6%) were cardiovascular. The primary end point occurred in 265 patients (14.4%). A multivariable time-to-first-event analysis showed that a high baseline HF score (>23, as determined by a time-dependent receiver operating characteristics curve analysis) was significantly associated with the occurrence of the primary end point (adjusted hazard ratio [HR], 2.05; 95% confidence interval [CI], 1.54–2.71; P < .0001), all-cause death (HR, 2.37; CI, 1.56–3.58; P < .0001), cardiovascular death (HR, 2.19; CI, 1.14–4.22; P = .019), and WHFH (HR, 1.91; CI, 1.35–2.71; P = .0003). In a hierarchical event analysis of all-cause death as the outcome with highest priority and WHFHs as repeated event outcomes, the win ratio was 2.47 (CI, 1.89–3.24; P < .0001). ConclusionBased on a retrospective analysis of clinical trial data with adjudicated events, baseline HF score derived from device-monitored variables was able to stratify patients at higher long-term risk of death or WHFH.

An Eye on Extracellular Vesicles: Trends and Clinical Translations in Vision Research

PurposeTo perform a review of research, funding, and clinical translation efforts for extracellular vesicles (EVs) within vision science. DesignRetrospective analysis of publication, funding, and clinical trials data. MethodsA pre-trained large language model (Jina2) was used to create semantic embeddings for 41,282 abstracts from articles related to extracellular vesicles archived on EMBASE and published between January 1966 and January 2024. The articles were projected and clustered according to semantic embedding similarity, and research subdomains for extracellular vesicles were determined through inspection of tf-idf weighted word clouds. Mann-Kendall trend analysis was performed to identify current areas of growth within extracellular vesicle research. Additionally, NIH funding data from RePORTER and clinical trials data from ClinicalTrials.gov were analyzed to correlate publication trends with funding support and clinical translation efforts. ResultsUnsupervised clustering and Mann-Kendall trend analysis identified wound healing/regeneration (p=0.030) and neurodegenerative disease (p=0.049) as significantly accelerating in growth of publication over time. Ophthalmology-restricted subset analysis identified that publications in age-related macular degeneration (p=0.191) and clinical applications (p=0.086) are no longer growing at a significant rate. Analysis of funding data identified that the NCI was the top funding institution overall, but that the NIA is rapidly advancing in terms of funding extracellular vesicle research and trials. Analysis of ClinicalTrials.gov data highlights a dearth of clinical trials within ophthalmology despite a growing number of studies in other medical subfields. ConclusionsExtracellular vesicles (EVs) remain a promising substrate for both the identification and treatment of vision-threatening diseases. A better understanding of the current landscape of research and funding trends should help to inform future funding and translational efforts.

Estimand Framework and Statistical Considerations for Integrated Analysis of Clinical Trial Safety Data.

Safety analyses play a pivotal role in drug development, ensuring the protection of patients while advancing innovative pharmaceuticals to market. A single study generally does not have sufficient sample size to evaluate all important safety events with reasonable precision and may not cover the full target population for the investigational treatment. Integrated analyses (pooled or meta-analysis) over several studies may be helpful in that regard. But without a structured conscious workflow accompanied with appropriate statistical methods for the integrated analysis, this can easily take a route compromising the interpretation. In this article we apply the ICH estimand framework to clinical trial integration and summarize respective critical statistical assumptions to ensure the integrated analyses are interpretable. The estimand framework is valuable for developing principles for a deeper understanding of the critical statistical aspects of planning an integrated safety analysis. Our principles address the clinical question of interest, estimand and estimation. Special focus was given to the criteria for inclusion and exclusion of the component studies in the integrated analysis, and to integration of estimates pertaining to signal detection. Performing an integrated analysis and its preparatory steps calls for a good understanding of the clinical question of interest and its estimand, care and sound practice, to enable interpretation and avoid introducing unnecessary bias. It is valuable to use the estimand framework not only for efficacy evaluations, but also for safety evaluations in clinical trials and for integrated safety analyses.

Mental health related adverse events of cytisine and varenicline in smokers with and without mental health disorders: Secondary analysis of a randomized controlled trial

IntroductionLittle is known about the adverse events (AEs) of cytisine versus varenicline among individuals with mental health disorders (MHDs), highlighting the necessity for further exploration to inform clinical practice. This secondary analysis of clinical trial data aimed to investigate the effect of varenicline vs. cytisine regarding mental-health-related AEs (MH-related AEs) on smokers with and without MHDs. MethodsAustralian daily smokers interested in quitting were randomised to varenicline (84 days) or cytisine (25 days) and categorised by self-reported MHD diagnosis or treatment in the past year (MHD or non-MHD groups). Treatment adherence was assessed by self-reported number of doses taken during the active treatment phase via two check-in calls (at one month), while AEs were evaluated through four phone interviews: two check-in calls (one month) and follow-up calls at four and seven months. Logistic regression analysis compared MH-related AEs between groups, including only participants taking at least one dose. ResultsOf 1452 smokers 246 reported MHDs, 725 received cytisine and 727 received varenicline. Median number of doses taken was comparable between MHD (34 cytisine and 12 varenicline) and non-MHD (33 cytisine and 13 varenicline) groups. MH-related AEs were: 14.1 % (n = 30) in MHD (12.5 % in cytisine and 15.4 % in varenicline), and 11.8 % (n = 126) in non-MHD group (10.9 % in cytisine and 13.7 % in varenicline). No significant difference in MH-related AE occurrence was identified between medication groups (aOR=0.96, 95 % CI 0.4 to 2.2, p-value = 0.94). ConclusionComparable MH-related AEs were observed between smokers with and without MHDs, suggesting that cytisine, like varenicline, may be well-tolerated by those with MHDs. However, larger clinical trials focused on MH-related AEs are needed for more conclusive evidence.

Machine Learning versus Cox Models for Predicting Overall Survival in Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data.

Since the mid-1980s, there has been little progress in improving survival of patients diagnosed with osteosarcoma. Survival prediction models play a key role in clinical decision-making, guiding healthcare professionals in tailoring treatment strategies based on individual patient risks. The increasing interest of the medical community in using machine learning (ML) for predicting survival has sparked an ongoing debate on the value of ML techniques versus more traditional statistical modelling (SM) approaches. This study investigates the use of SM versus ML methods in predicting overall survival (OS) using osteosarcoma data from the EURAMOS-1 clinical trial (NCT00134030). The well-established Cox proportional hazard model is compared to the extended Cox model that includes time-varying effects, and to the ML methods random survival forests and survival neural networks. The impact of eight variables on OS predictions is explored. Results are compared on different model performance metrics, variable importance, and patient-specific predictions. The article provides comprehensive insights to aid healthcare researchers in evaluating diverse survival prediction models for low-dimensional clinical data.

Broad versus narrow research questions in evidence synthesis: A parallel to (and plea for) estimands.

There has been a transition from broad to more specific research questions in the practice of network meta-analysis (NMA). Such convergence is also taking place in the context of individual registrational trials, following the recent introduction of the estimand framework, which is impacting the design, data collection strategy, analysis and interpretation of clinical trials. The language of estimands has much to offer to NMA, particularly given the "narrow" perspective of treatments and target populations taken in health technology assessment.

Longitudinal invariance of the Patient Health Questionnaire-9 among patients receiving pharmacotherapy for major depressive disorder: A secondary analysis of clinical trial data.

Comparing self-reported symptom scores across time requires longitudinal measurement invariance (LMI), a psychometric property that means the measure is functioning identically across all time points. Despite its prominence as a measure of depression symptom severity in both research and health care, LMI has yet to be firmly established for the Patient Health Questionnaire-9 depression module (PHQ-9), particularly over the course of antidepressant pharmacotherapy. Accordingly, the objective of this study was to assess for LMI of the PHQ-9 during pharmacotherapy for major depressive disorder. This was a secondary analysis of data collected during a randomized controlled trial. A total of 1,944 veterans began antidepressant monotherapy and completed the PHQ-9 six times over 24 weeks of treatment. LMI was assessed using a series of four confirmatory factor analysis models that included all six time points, with estimated parameters increasingly constrained across models to test for different aspects of invariance. Root-mean-square error of approximation of the chi-square difference test values below 0.06 indicated the presence of LMI. Exploratory LMI analyses were also performed for separate sex, age, and race subgroups. Root-mean-square error of approximation of the chi-square difference test showed minimal change in model fits during invariance testing (≤ 0.06 for all steps), supporting full LMI for the PHQ-9. LMI was also supported for all tested veteran subgroups. As such, PHQ-9 sum scores can be compared across extended pharmacotherapy treatment durations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Differences in imeglimin response in subgroups of patients with type 2 diabetes stratified by data-driven cluster analysis: A post-hoc analysis of imeglimin clinical trial data.

To explore differences in imeglimin response among type 2 diabetes (T2D) patient clusters using data-driven cluster analysis. Data-driven cluster analysis (non-hierarchical k-means clustering) was performed on randomized, double-blind, imeglimin monotherapy and adjunctive (to insulin) therapy trials based on four baseline variables: (1) disease duration; (2) body mass index (BMI); (3) HbA1c; and (4a) homeostatic model assessment of β-cell function (HOMA-β) (monotherapy trials) or (4b) insulin total daily dose (adjunctive trial). Four clusters were identified with distinct clinical characteristics in both monotherapy (1-4) and adjunctive therapy (I-IV) trials; clusters 1 and I had lower values across all four indices versus the overall population, clusters 2 and II had a longer diabetes duration, cluster 3 had higher baseline BMI and HOMA-β, and cluster III had higher baseline BMI and insulin total daily dose, while clusters 4 and IV had higher baseline HbA1c. Between-group differences in HbA1c change (95% confidence interval) and effect size (ES) at week 24 varied considerably by cluster (cluster 1: -0.82 [-1.00, -0.63], ES = 1.47; cluster 2: -0.64 [-0.89, -0.39], ES = 1.18; cluster 3: -0.86 [-1.38, -0.33], ES = 0.84; cluster 4: -1.27 [-1.73, -0.82], ES = 1.44). For imeglimin adjunctive therapy, HbA1c improvements were significant versus placebo at week 16, excluding cluster III (cluster I: -0.63 [-0.95, -0.31], ES = 0.88; cluster II: -0.66 [-1.02, -0.30], ES = 1.13; cluster III: -0.31 [-0.73, 0.11], ES = 0.46; cluster IV: -0.82 [-1.29, -0.35], ES = 0.99). Differences in imeglimin response were observed among T2D patient clusters. Patient stratification may help with selection of those most probable to respond to imeglimin.

Dynamic Prediction of Overall Survival for Patients with Osteosarcoma: A Retrospective Analysis of the EURAMOS-1 Clinical Trial Data.

Current prediction models for patients with ostosarcoma are restricted to predictions from a single, static point in time, such as diagnosis or surgery. These approaches discard information which becomes available during follow-up and may have an impact on patient's prognosis. This study aims at developing a dynamic prediction model providing 5-year overall survival (OS) predictions from different time points during follow-up. The developed model considers relevant baseline prognostic factors, accounting for where appropriate time-varying effects and time-varying intermediate events such as local recurrence (LR) and new metastatic disease (NM). A landmarking approach is applied to 1965 patients with high-grade resectable osteosarcoma from the EURAMOS-1 trial (NCT00143030). Results show that LR and NM negatively affected 5-year OS (HRs: 2.634, 95% CI 1.845-3.761; 8.558, 95% CI 7.367-9.942, respectively). Baseline factors with strong prognostic value (HRs > 2) included poor histological response (≥10% viable tumor), axial tumor location, and the presence of lung metastases. The effect of poor versus good histological response changed over time, becoming non-significant from 3.25 years post-surgery onwards. This time-varying effect, as well as the strong impact of disease-related time-varying variables, show the importance of including updated information collected during follow-up in the model to provide more accurate survival predictions.

Development of normal reference intervals for renal function in pregnancy: a secondary analysis of clinical trial data

Background Due to its potential nephrotoxicity, screening for pre-existing renal function disorders has become a routine clinical assessment for initiating Tenofovir diphosphate fumarate (TDF)-containing antiretroviral treatment (ART) or pre-exposure prophylaxis (PrEP) in pregnant and non-pregnant adults. We aimed to establish reference values for commonly used markers of renal function in healthy pregnant women of African origin. Methods Pregnant women ≥18 years, not living with HIV, and at 14–28 weeks gestation were enrolled in a PrEP clinical trial in Durban, South Africa between September 2017 and December 2019. Women were monitored 4-weekly during pregnancy until six months postpartum. We measured maternal weight and serum creatinine (sCr) at each visit and calculated creatinine clearance (CrCl) rates using the Cockcroft–Gault (CG) and Modification of Diet in Renal Disease (MDRD) formulae. Reference ranges for sCr and CrCl by CG and MDRD calculations were derived from the mean ± 2SD of values for pregnancy and postdelivery. Results Between 14-–and 40 weeks gestation, 249 African women not exposed to TDF-PrEP contributed a total of 1193 renal function values. Postdelivery, 207 of these women contributed to 800 renal function values. The normal reference range for sCr was 30–57 and 32–60 umol/l in the 2nd and 3rd trimesters of pregnancy. Normal reference ranges for CrCl using the MDRD calculation were 129–282 and 119–267 ml/min/1.73m2 for the 2nd and 3rd trimesters, respectively. Using the CG method of calculation, normal reference ranges for CrCl were 120—304 and 123–309 ml/min/1.73m2 for the 2nd and 3rd trimesters respectively. In comparison, the normal reference range for sCr, CrCl by MDRD and CG calculations postpartum was 40–77 umol/l, 92–201, and 90–238 ml/min/1.73m2, respectively. Conclusions In African women, the Upper Limit of Normal (ULN) for sCr in pregnancy is approximately 20% lower than 6 months postnatally. Inversely, the Lower Limit of Normal (LLN) for CrCl using either MDRD or CG equation is approximately 35% higher than 6 months postnatally. We provide normal reference ranges for sCr and CrCl for both methods of calculation and appropriate for the 2nd and 3rd trimesters of pregnancy in African women.

Association between overweight and obesity with coronary artery bypass graft failure: an individual patient data analysis of clinical trials.

The association between obesity and graft failure after coronary artery bypass grafting has not been previously investigated. We pooled individual patient data from randomized clinical trials with systematic postoperative coronary imaging to evaluate the association between obesity and graft failure at the individual graft and patient levels. Penalized cubic regression splines and mixed-effects multivariable logistic regression models were performed. Six trials comprising 3928 patients and 12048 grafts were included. The median time to imaging was 1.03 (interquartile range 1.00-1.09) years. By body mass index (BMI) category, 800 (20.4%) patients were normal weight (BMI 18.5-24.9), 1668 (42.5%) were overweight (BMI 25-29.9), 983 (25.0%) were obesity class 1 (BMI 30-34.9), 344 (8.8%) were obesity class 2 (BMI 35-39.9) and 116 (2.9%) were obesity class 3 (BMI 40+). As a continuous variable, BMI was associated with reduced graft failure [adjusted odds ratio (aOR) 0.98 (95% confidence interval (CI) 0.97-0.99)] at the individual graft level. Compared to normal weight patients, graft failure at the individual graft level was reduced in overweight [aOR 0.79 (95% CI 0.64-0.96)], obesity class 1 [aOR 0.81 (95% CI 0.64-1.01)] and obesity class 2 [aOR 0.61 (95% CI 0.45-0.83)] patients, but not different compared to obesity class 3 [aOR 0.94 (95% CI 0.62-1.42)] patients. Findings were similar, but did not reach significance, at the patient level. In a pooled individual patient data analysis of randomized clinical trials, BMI and obesity appear to be associated with reduced graft failure at 1 year after coronary artery bypass grafting.

Estimating the health care costs associated with receipt of lisocabtagene maraleucel: Insights from adults with mantle cell lymphoma (TRANSCEND NHL 001).

7028 Background: Anti-CD19 CAR T cell therapy is a major advancement for treating R/R B-cell malignancies such as mantle cell lymphoma (MCL). While effective disease management with CAR T cell therapy is expected to reduce patients’ health care resource utilization (HCRU) over the long-term, few studies have examined the short-term impacts of this treatment on HCRU and associated health care costs. Here, we used data from the TRANSCEND NHL 001 (NCT02631044) clinical trial to estimate the HCRU-related costs incurred by patients with R/R MCL over the first 12 months after receipt of lisocabtagene maraleucel (liso-cel). Methods: A retrospective analysis of clinical trial data was conducted to calculate the frequency of HCRU (medications [excluding liso-cel], diagnostics, procedures, ICU and non-ICU hospitalizations) observed over the 12 months immediately after administration of liso-cel. Costs for each HCRU event were derived from public databases and literature, adjusted to 2023 United States (US) dollars, and used to estimate patient-level health care costs. Results: Of the patients treated (N = 88), 76.1% were male, 87.5% were White, and mean ± standard deviation (SD) age was 67.5 ± 9 years. All patients were treated in the US and completed a median (range) of 3 (1–11) prior lines of therapy before receiving liso-cel. Most patients (93.2%) received the recommended dose of 100 × 106 CAR+ T cells. The total mean ± SD per-patient cost (excluding liso-cel) was estimated at $138,413 ± $58,555 over 12 months. Facility use accounted for 77.7% of all costs, primarily owing to non-ICU hospitalizations (98.9%), which had a mean ± SD length of stay of 19.5 ± 16.7 days per eligible patient. Half of all health care costs were incurred within the first month of infusion (53.2%), with each subsequent month contributing a fraction (1.5%–6.3%) of total costs. A total of 13 out of 88 patients received their initial infusion in an outpatient setting and incurred 23% fewer costs compared with those who received their infusion in an inpatient setting ($110,050 vs $143,418), primarily as a function of reduced first-month facility use. Total costs for patients receiving liso-cel in outpatient settings were further reduced to $72,771 upon exclusion of 3 outliers. Conclusions: Non-ICU hospitalizations were the largest driver of liso-cel–related costs in this R/R MCL cohort of clinical trial participants. Most of the cost burden was incurred within 1 month of treatment, with dramatic reductions in HCRU and health care costs observed thereafter. Results suggest that treatment in the outpatient setting, even in part (eg, at initial infusion only), may confer substantial cost savings to the health care system.

Characterizing the impact of sarcopenia on treatment response and survival in previously treated recurrent or metastatic nasopharyngeal carcinoma: Insights from a secondary analysis of the KL-A167 randomized trial.

6046 Background: The relationship between sarcopenia and adverse outcomes among patients with recurrent and metastatic nasopharyngeal carcinoma (R/M NPC) undergoing immunotherapy remains underexplored. This secondary analysis of the KL-A167 clinical trial data aims to elucidate the impact of sarcopenia on treatment efficacy and prognosis in this cohort, while also identifying potential mediating hematological biomarkers. Methods: A cohort of 148 patients enrolled in the KL-A167 clinical trial was analyzed. Logistic and Cox regression models were applied to assess the association between sarcopenia and treatment response, overall survival (OS), and progression-free survival (PFS), with adjustment for clinical prognostic factors. Counterfactual causal mediation analysis was conducted to identify hematological biomarkers potentially mediating the relationship between sarcopenia and prognosis in R/M NPC patients. Results: The presence of sarcopenia was significantly associated with reduced objective response rate (ORR: OR = 0.25, 95% CI = 0.08–0.81, p = 0.020) and disease control rate (DCR: OR = 0.23, 95% CI = 0.07–0.70, p = 0.010). Furthermore, sarcopenia was linked to inferior OS (HR = 2.07, 95% CI = 1.12–3.81, p = 0.020) and PFS (HR = 2.59, 95% CI = 1.48–4.54, p = 0.001). Notably, sarcopenia was characterized by elevated levels of neutrophil count, fibrinogen, and white blood cell count, alongside decreased creatine kinase levels. Fibrinogen emerged as the sole elevated biomarker significantly associated with both OS and PFS. Causal mediation analysis indicated that fibrinogen accounted for 23.5% of the association between sarcopenia and OS and 15.7% of PFS. Conclusions: Sarcopenia significantly correlates with poor treatment response and survival outcomes in patients with R/M NPC receiving immunotherapy. Targeting fibrinogen may offer a novel strategy to mitigate the negative impact of sarcopenia on patient survival.

Characterizing health-related quality of life and identifying disease predictors among patients suspected of having long COVID: an analysis of COMET-ICE clinical trial data.

Long COVID affects health-related quality of life (HRQoL). Here, we investigate the extent to which symptoms experienced during the acute phase of COVID-19 are significant predictors of the presence of long COVID at 12 weeks. Post-hoc analysis of COMET-ICE trial data, which assessed sotrovimab vs. placebo for treatment of mild-to-moderate COVID-19 among high-risk patients. Patient-reported outcome measures were completed during the trial, including the inFLUenza Patient-Reported Outcome Plus (FLU-PRO Plus), the 12-Item Short Form (SF-12) Hybrid questionnaire, and the Work Productivity and Activity Impairment Questionnaire: General Health (WPAI:GH). COVID-19 symptoms and impacts (measured by the FLU-PRO Plus) and HRQoL (measured by SF-12 Hybrid and WPAI:GH) were compared between the acute phase (Days 1-21 and 29) and long-COVID phase (at Week 12) among patients with and without long COVID based on COMET-ICE data. Subgroups experiencing long COVID were derived using "All," "Returning," and "Persisting" symptomatic definitions. Long-COVID predictors were identified using a multivariate logistic regression model; odds ratios (ORs) and 95% CIs were calculated. Long-COVID subgroups had significantly higher baseline scores for most FLU-PRO Plus domains and Total Score compared with the non-long-COVID group. WPAI:GH and SF-12 Hybrid scores generally showed significantly more impairment for the long-COVID subgroups at baseline and Week 12 vs. the non-long-COVID group. In the univariate analyses, all FLU-PRO Plus domains were significant predictors of long COVID (all p < 0.05), with the exception of the Sense domain. Older age increased the risk of long COVID (OR 1.02, 95% CI 1.00-1.04, p < 0.05). Non-White patients were significantly less likely to have long COVID by the Returning and Persisting definitions vs. White patients (all p < 0.05). In the multivariate analysis, higher scores for the Nose domain (ORs 3.39-5.60, all p < 0.01) and having COPD (ORs 3.75-6.34, all p < 0.05) were significant long-COVID predictors. Patients who progressed to long COVID had higher symptom severity during the acute disease phase and showed significantly greater negative impact on HRQoL over an extended time period from initial infection through at least the subsequent 3 months. The FLU-PRO Plus Nose domain and having COPD were significant predictors of long COVID.

Abstract PO1-05-12: Pooled clinical trial data analyses comparing the biology of HER2-low vs HER2-0 breast cancer in patients with metastatic breast cancer following treatment with standard single agent chemotherapy

Abstract Background: Prior analyses of observational data suggest that for patients with metastatic breast cancer (MBC), tumor biology does not vary by HER2-low vs. HER2-0 expression given similar overall survival (OS) times after accounting for patients’ clinicopathologic features including hormone receptor (HR) status. We sought to evaluate potential differential biology by HER2-low status by (1) studying data pertaining to patients treated in historic clinical trials (i.e., data collected to measure associations between protocol defined treatments and outcomes) and (2) evaluating the endpoint of progression-free survival (PFS) in addition to OS following treatment with standard single agent chemotherapy for MBC. Methods: Pooling anonymized clinical trial data from studies within the Medidata Enterprise Data Store, we identified 142 women with HER2-negative MBC who received treatment with an NCCN recommended single agent chemotherapy in the context of a clinical trial. Using patient-level immunohistochemistry (IHC) results, we categorized patients as either HER2-low (IHC 1+/2+ and not amplified by in situ hybridization) or HER2-0 (IHC 0). We compared patients’ baseline demographic and clinicopathologic features according to HER2-low vs HER2-0 status. We used Cox proportional-hazard models stratified by HR status to estimate OS and PFS according to HER2-low vs HER2-0 classification while adjusting for patients' baseline demographic and clinicopathologic attributes. Results: Patients with HER2-low disease represented 20% (28/142) of the HER2-negative cohort. Twenty-five percent (7/28) of HER2-low patients had tumors that expressed hormone receptors compared with 17% (19/114) of HER2-0 patients (p=0.31). In this cohort, the maximum follow up time was 38.4 months. For HER2-low patients vs HER2-0 patients, the median OS was 10.7 vs. 12.7 months (p=0.37), and the median PFS was 3.5 vs. 2.9 months (log rank test, p=0.53) respectively. In Cox proportional-hazard models that adjusted for patient demographic and clinicopathologic features and were stratified by HR status, patients with HER2-low tumors had an 16% elevated (non-significant) hazard of death compared with patients with HER2-0 tumors (HR 1.16, 95% CI: 0.69-1.95) and a 22% reduced (non-significant) hazard of progression or death (HR 0.78, 95% CI: 0.45-1.35). Conclusions: Analyses of pooled historic clinical trial data pertaining to women with HER2-negative MBC who were treated with single agent chemotherapy revealed no meaningful clinical differences in either OS or PFS endpoints according to HER2-negative subtypes (i.e., HER2-low vs. HER2-0) after accounting for patient demographic and clinicopathologic features. These results support prior findings from observational research suggesting that there are no biological differences associated with HER2-negative subtypes. Table. Multivariable Cox Proportional Hazards Models for OS and PFS Stratified by Hormone Receptor Status, (N=134) Variable OS PFS HR* 95% CI HR* 95% CI Age (decade) 0.84 0.70-1.01 0.86 0.72-1.01 Race White 1.00 (referent) 1.00 (referent) Black 1.75 0.84-3.63 1.57 0.66-3.73 Asian 0.93 0.47-1.80 1.33 0.71-2.51 Other 1.69 0.45-6.38 2.10 0.62-7.15 Ethnicity Non-Hispanic or Latino 1.00 (referent) 1.00 (referent) Hispanic or Latino 2.10 0.95-4.64 1.02 0.44-2.35 HER2 Characterization HER2-0 1.00 (referent) 1.00 (referent) HER2-1+/2+ 1.16 0.69-1.95 0.78 0.45-1.35 Prior Lines of Chemotherapy for Metastatic Disease 0 1.00 (referent) 1.00 (referent) 1 0.82 0.46-1.46 1.13 0.65-1.95 2 0.69 0.35-1.36 1.00 0.52-1.93 3 0.59 0.10-3.42 2.18 0.45-10.50 ECOG Performance Status 0 1.00 (referent) 1.00 (referent) 1 1.65 1.07-2.54 1.57 1.02-2.43 Legend: OS=overall survival; PFS=progression-free survival; HR=hazard ratio; HER2=human epidermal group factor receptor 2; ECOG=Eastern Cooperative Oncology Group. *Analyses adjusted for clinical trial membership (coefficients not reported) Citation Format: Elizabeth Lamont, Emily Stein, Paolo Tarantino, Sara Tolaney, Corinne Ahlberg, Krishna Chinnathambu, Jiezhi Qi, Kala Tummagunta, Jackie Bilan, Ruthanna Davi, Lisa Ensign. Pooled clinical trial data analyses comparing the biology of HER2-low vs HER2-0 breast cancer in patients with metastatic breast cancer following treatment with standard single agent chemotherapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO1-05-12.

Positive relationship between plant diversity dietary patterns and disease activity in Australian adults with Inflammatory Bowel Disease

Diet is implicated in the development of Inflammatory Bowel Disease (IBD). However, the role of diet in reducing inflammation and managing prevalent disease is unclear (1–3). Previous studies have analysed the relationship between dietary patterns and occurrence of flares or symptoms, but not disease activity or inflammation (4–5). It is important to explore the role of habitual diet in management of IBD to provide targeted dietary recommendations. We explored the relationship between dietary intake with disease activity and inflammation in an Australian adult cohort with and without IBD. We analysed dietary and clinical data from the Australian IBD Microbiome (AIM) study. AIM is a prospective longitudinal cohort study of adults and children with Crohn’s Disease (CD), Ulcerative colitis (UC) and healthy controls (HC). Habitual dietary intake of food groups, fibre, polyphenols and fermented foods was collected by merging dietary data from 3-day food records and food frequency questionnaires with PhenolExplorer and the Australian Fibre Categories Database. Dietary patterns were explored using Principal Component Analysis (PCA) and cluster analysis (CA) in IBM SPSS Statistics (V29). Associations between dietary intake, clinical disease activity categorised as remission or active, and faecal calprotectin (FCAL) were explored in adult participants. A total of 412 participants (IBD = 223, HC = 189) were included. FCAL data was available for 211 participants (HC = 100, CD = 49, UC = 62). Median (IQR) FCAL at baseline was 20 (20) mg/kg for HC and 33 (127) mg/kg for IBD, indicating clinically irrelevant inflammation (FCAL &gt;50mg/kg = clinical inflammation). PCA identified 7 distinct dietary patterns for adults with IBD. A dietary pattern of high plant diversity was associated with active CD. In the total IBD cohort, low association to a 'Prudent’ pattern was positively associated with low FCAL, and high association to a 'Meat-eaters’ dietary pattern was positively associated with moderate FCAL. CA revealed 3 distinct clusters amongst participants with IBD. No significant difference between diet cluster and disease activity or FCAL was seen. There were no significant differences in intake of fibre or polyphenols between remission vs active disease in participants with IBD. A significant difference between total, soluble and insoluble fibre and FCAL categories was seen with a higher fibre intake associated with lower FCAL. Higher plant-diversity and 'Prudent’ dietary patterns are associated with active disease and higher FCAL in Australian adults with IBD. Reverse causality cannot be ruled out, with analysis of larger cohorts and clinical trial data needed to clarify this.

Pharmacokinetic Profile of Brepocitinib with Topical Administration in Atopic Dermatitis and Psoriasis Populations: Strategy to Inform Clinical Trial Design in Adult and Pediatric Populations

IntroductionTopical brepocitinib, a tyrosine kinase (TYK)2/Janus kinase (JAK)1 inhibitor, is in development for psoriasis (PsO) and atopic dermatitis (AD). Quantitative analyses of prior clinical trial data were used to inform future clinical trial designs.MethodsTwo phase 2b studies in patients with AD and PsO were used to characterize the amount of topical brepocitinib and the resultant systemic trough concentration (CTrough) using a linear mixed-effects regression (LMER). This model was used to predict brepocitinib systemic CTrough for higher treated body surface areas (BSAs) in adults and children. Information from non-clinical and clinical trials with oral brepocitinib was leveraged to set safety thresholds. This combined approach was used to inform future dose-strength selection and treated BSA limits.ResultsData from 256 patients were analyzed. Patient type, dose strength, and frequency had significant impacts on the dose–exposure relationship. Systemic concentration in patients with PsO was predicted to be 45% lower than in patients with AD from the same dose. When topically applied to the same percentage BSA, brepocitinib systemic exposures are expected to be comparable between adults and children. The systemic steady-state exposure after 3% once daily and twice daily (2 mg/cm2) cream applied to less than 50% BSA in patients with AD and PsO, respectively, maintains at least a threefold margin to non-clinical safety findings and clinical hematologic markers.ConclusionThe relationship between the amount of active drug applied and brepocitinib systemic CTrough, described by LMER, may inform the development strategy for dose optimization in the brepocitinib topical program.