Clinical Trial Cohort Research Articles

Development of a predictive model for gastrointestinal side effects of metformin treatment in Chinese individuals with type 2 diabetes based on four randomised clinical trials.

This study aimed to build a model-based predictive approach to evaluate the gastrointestinal side effects following an initial metformin medication. The model was developed from data from four randomised clinical cohorts. A prediction model was established using integrated or simplified indicators. Ten machine learning models were used for the construction of predictive models. The Shapley values were used to report the features' contribution. Four randomised clinical trial cohorts, including 1736 patients with type 2 diabetes, were first included in the analysis. Seventy percent of participants (1216) were allocated to the training set, 15% (260) were assigned to the internal validation set and 15% (260) were assigned to the test set. The Extra Tree model had the highest area under curve (AUC) (0.87) in the validation and test set. The top five crucial indicators were blood urea nitrogen (BUN), sex, triglyceride (TG), high-density lipoprotein-cholesterol (HDL-C) and total cholesterol (TC), and these five indicators were selected for constructing a simplified predictive model (AUC = 0.76). An online web-based tool was established based on the predictive model with integrated 17 features and top five indicators. To predict gastrointestinal side effects in diabetic patients for initial use of metformin, a few easily obtained features are needed to establish the model. The model can be applied to the Chinese population in clinical practice.

Safety and Efficacy of Intra-Prostatic Injection of Betamethasone for Refractory Chronic Nonbacterial Prostatitis: A Prospective Cohort Clinical Study.

We aimed to assess the safety and effectiveness of TRUS guided betamethasone injections in refractory cases of chronic nonbacterial prostatitis. Forty-five patients with refractory CNP were included in a prospective cohort clinical trial. Six injections of betamethasone sodium sulfate were guided by TRUS. After injection: assessment of NIH-CPSI, IPSS, IIEF, GRA and VAS were performed 1, 4, and 12 weeks after injection. Prostatitis symptoms were measured by NIH-CPSI. We considered the minimal clinically important difference (MCID) as a 25% decrease or a six-point reduction from baseline. We considered the MCID of the IIEF to be at least an increase of 4 points. We considered the MCID of the IPSS score to be three points and the MCID for the VAS score to be a 25%-35% change of the initial score. Regarding the global response assessment (GRA), scores 5-7 means significant success rate of perceived treatment. According to total NIH CPSI score, the success rate of injected cases was 71% after 1 week, dropping to 55.6% after 4 weeks and 44.4% after 12 weeks. According to IPSS questionnaire, the MD (mean difference) is -4.09 ± 3.5, -3.8 ± 3.83 and -3.47 ± 3.92. According to the IIEF questionnaire, the success rate was 22% and 26.7% after 4 and 12 weeks respectively. According to GRA, successful pain control was reported in 82%, 71% and 64.4% after 1, 4 and 12 weeks, respectively. Intraprostatic betamethasone injection is a simple, safe, and feasible procedure in refractory cases with CNP with predominant pain and urinary symptoms.

Abstract 4137516: Disparities in Participation: Analyzing Age, Sex, Race, and Ethnicity in Atrial Fibrillation Clinical Trials in the United States

Introduction: Atrial fibrillation (AF) is a prevalent cardiovascular disease that significantly impacts public health in the United States. Although numerous clinical trials aim to optimize AF management, concerns about demographic disparities in trial participation persist. This study assesses the representation of age, sex, race, and ethnicity among participants in AF trials conducted in the US, highlighting potential biases that could affect the generalizability of trial outcomes. Methods: An extensive review of clinical trials registered on ClinicalTrials.gov involving patients with AF up to April 2024 was performed. The search was filtered to include all completed interventional trials across phases 2 to 4 without restrictions on the initiation or completion dates. Data were extracted concerning mean age, age distribution, sex, and the racial and ethnic composition of the trial participants. Results: From the 173 trials analyzed, a total of 1,355,239 participants were included, with an average age of 64.7 years. The demographic breakdown revealed a participant pool consisting predominantly of older adults (>65 years: 70.8%), with a significant underrepresentation of the younger age group (18-65 years: 29.2%). Males constituted 65.2% of the trial population, highlighting a gender imbalance. Racially, 74.1% of participants were White, while African Americans (7.7%) and Asians (5.9%) and other racial groups were notably underrepresented. Ethnic disparities were also evident, with Hispanic participants making up only 11.5% of the study population. Conclusion: The findings demonstrate significant disparities in the age, sex, race, and ethnic backgrounds of AF clinical trial participants in the US. These imbalances could potentially limit the applicability of trial results across the broader, diverse population. Efforts to enhance the diversity of clinical trial cohorts are essential to ensure more equitable health outcomes and the universal applicability of clinical research findings. Future strategies should focus on targeted recruitment and inclusive study designs to address these disparities.

Safety and Efficiency of Anti-VEGF with Dexamethasone Intravitreal Implant for Non-Ischemic Retinal Vein Occlusion: A Prospective, Case-controlled, Cohort Study.

This study aimed to assess the efficacy and safety of anti-VEGF combined with dexamethasone implant for the retinal vein occlusion patients with macular edema. In this prospective, case-controlled, cohort clinical trial (Register ID: ChiCTR2400080048), patients with non-ischemic retinal vein occlusion were enrolled from the Sanmenxia Central Hospital from August 2020 to April 2023. The patients were randomized into two groups. All the patients received ranibizumab intravitreal injection in the first 3 consecutive months. For the ranibizumab group, anti-VEGF injections were as needed thereafter in case of recurrence of macular edema; For the combination group, the patients received an intravitreal dexamethasone implant injection at 15 days after the first ranibizumab injection. The primary outcome measurements were improvement in best corrected visual acuity (BCVA) and reduction in central macular thickness (CMT). The secondary outcomes were recurrence of macular edema, number of intravitreal injections, and injection interval. Safety profiles were also recorded. A total of 124 patients were included, of which 73 patients completed all follow-ups. Both the ranibizumab monotherapy and the combination therapy significantly improved BCVA at all time points, compared to the baseline. The combined group achieved more BCVA improvement in 3 months, 6 months, and 12 months, compared to the ranibizumab alone group. Compared to the baseline, both groups achieved significant reductions in CMT at all follow-ups. However, the combination group showed more CMT reduction at 1 week post injection, compared to the ranibizumab group. The combination group had a significantly longer injection interval, lower injection time, and recurrence of macular edema. Ocular hypertension was the most common adverse events. Lastly, intraocular pressure was all well controlled by 1-3 glaucoma medications without surgical intervention. The combination therapy could significantly improve the BCVA and reduce the CMT with a good safety profile.

Joint effects of depression and social determinants of health on mortality risk among U.S. adults: a cohort study

BackgroundUnfavorable social determinants of health (SDoH) are associated with depression. Both depression and SDoH are associated with increased risks of mortality, but their joint impacts on mortality risks remain unclear. This study aims to investigate the joint effects of depression and SDoH on mortality risk.MethodsUtilizing data from the National Health and Nutrition Examination Survey (NHANES) 2007–2018, 24,727 adults aged ≥ 20 were included. SDoH was assessed based on the 5 domains outlined in the U.S. Healthy People 2030 initiative. The cumulative number of unfavorable SDoH was calculated and categorized into low and high burden levels. The definition of depression was based on the Patient Health Questionnaire-9 (PHQ-9) scores ≥ 10. The joint associations of depression and SDoH with all-cause, cardiovascular disease (CVD), and cancer mortality were examined using Cox proportional hazard models.ResultsWe identified 2,377 (6.84%) all-cause deaths (CVD, 717; cancer, 606) during a median follow-up of 7.0 years. Depression was associated with increased mortality risks, and SDoH could explain 32.4% and 28.3% of the associations between depression and all-cause and CVD mortality, respectively. No significant interactions were observed between depression and SDoH on mortality. However, a low burden of unfavorable SDoH reduced the risk of all-cause mortality in depressed patients (hazard ratio [HR], 0.58; 95% confidence interval [CI]: 0.36–0.92). In the joint analysis, individuals with both depression and a high burden of unfavorable SDoH had the highest risks of all-cause and CVD mortality. Specifically, compared with individuals with no depression and a low burden of unfavorable SDoH, those with depression and a high burden of unfavorable SDoH had higher risks of all-cause (HR, 2.52; 95% CI: 2.01–3.18) and CVD mortality (HR, 2.79; 95% CI: 1.95–3.99).ConclusionAdults with both depression and a high burden of unfavorable SDoH had the highest risks of all-cause mortality and CVD mortality. The result suggests considering depression and SDoH jointly in developing targeted intervention strategies to improve survival outcomes and calls for larger cohort studies and clinical trials to validate our findings.

Comparing the real-world and clinical trial bleeding rates associated with oral anticoagulation treatment for atrial fibrillation

Abstract Background The prevention of stroke in patients with atrial fibrillation (AF) involves the use of oral anticoagulation, commonly in the form of direct oral anticoagulants (DOAC). However, it comes with an increased risk of bleeding and therefore, counselling patients on their individual risk is important. Although majority of patients initiated on DOAC have been represented within the clinical trials, there are some cohorts which are under-represented in whom clinicians are unable to practice evidence-based medicine. Methods Utilising the pooled clinical trial (CT) data sourced from Medidata Enterprise Data Store, 5 recent open-label industry sponsored AF trials were compared with Real-World data (RWD) was sourced from the HealthVerity Marketplace with the occurrence of bleeding events as the primary outcome of interest. Results A total of 64,421 patients were included in the analysis, with 3207 patients from the clinical DOAC trials and 61,214 patients from the RWD cohort. Overall, the patients from RWD cohort had more co-morbidities, were older (72.2 ± 11.9 vs 65.3 ±10.7 years old, p<0.001), had higher mean CHA2DS2VASc (3.98 ± 1.9 vs 2.87 ± 1.73, p<0.001) and HAD-BLED scores (2.13 ± 1.02 vs 1/04 ± 0.93, p<0.001) when compared to the trial data. When comparing the incidence of first major bleed at 12 months post treatment initiation, rates in the RWD cohort was significantly higher (10.69 vs 18.97 per 100 person-years). The impact of comorbidities such as age, CHA2DS2VASc and HAD-BLED scores were similar in both cohorts, however, there was an under-representation of older, females and more co-morbid patients within the clinical trial cohort. Conclusion DOAC treated patients have higher bleeding incidence rate in the RWD cohort as compared to clinical trials. This can be explained by the older patient age group with more complex medical histories and higher HAS-BLED scores. The under-representation of higher risk patients and lower proportion of females within clinical trials should be addressed to better translate clinical trial data into real world clinical practice.

Mapping Long COVID across the EU: definitions, guidelines and surveillance systems in EU Member States

Abstract A mapping study had been conducted to provide insight into 1) Long COVID definitions, 2) guidelines and intelligence on diagnosis and treatment, and 3) surveillance systems, as used/implemented in EU Member States plus Iceland, Norway, the United States, Canada, New Zealand, and Australia. Findings show that most Long COVID definitions align with WHO or NICE criteria, although there are also notable differences between definitions. The study also found Long COVID guidelines for diagnosis and treatment in 21 out of 34 selected countries. Common elements include advocating a multidisciplinary approach, a central role for primary care, and the focus on rehabilitation. Some guidelines include recommendations for referral to specialised care and follow-up procedures. Guidelines also differ in their target audience and in terms of their focus specific symptoms or organ systems that are affected by Long COVID. When it comes to Long COVID surveillance systems only a limited number of (nine) registries were found. Five of the Long COVID registries are based on self-registration. As limited information is available for most registries, a detailed understanding of their structures and goals in comparison to others is hindered. In conclusion, the study underlines the interconnectedness of Long COVID definitions, the development of guidelines, and surveillance systems. Given the variability in definitions and the voluntary entry of patients into the existing registries, there are no good estimates yet of the total numbers of patients and the severity of their disease in EU Member States. Linking information from cohort studies and clinical trials may be necessary to provide the full picture of the burden of disease of Long COVID. Still, preliminary estimates indicate that a significant proportion of those infected with COVID-19 experience long lasting symptoms, leading to impaired quality of life, also placing a significant burden on national health systems in the future.

Exome sequencing in over 63,000 patients in TIMI trials uncovers pathogenic cardiomyopathy variant carriers with high risk for heart failure and cardiovascular death

Abstract Background Rare genetic variants predisposing to cardiomyopathy (CMP) confer increased risk for adverse events. The prevalence of CMP variants in contemporary cardiovascular (CV) trials and their association with prevalent heart failure (HF) and incident HF hospitalizations (HHF) is not established. Purpose We aimed to identify carriers of rare pathogenic/likely pathogenic (PLP) variants for dilated cardiomyopathy (DCM), hypertrophic cardiomyopathy (HCM), and arrhythmogenic right ventricular cardiomyopathy (ARVC) in well-phenotyped clinical trial cohorts and to evaluate their prognostic significance. Methods Rare variants were identified from high-quality exome sequencing data from 5 large clinical trials (ENGAGE AF-TIMI 48, SAVOR-TIMI 53, PEGASUS-TIMI 54, DECLARE-TIMI 58, FOURIER (TIMI 59)). Putatively pathogenic variants for cardiomyopathy were identified using phenotype- and gene-specific curation of protein-truncating variants and high-confidence variant classifications from ClinVar. We conducted logistic regression for prevalent disease and Cox proportional hazard models for incident HHF, both adjusted by age, sex, trial, and first 10 principal components and using those without CMP variants as the reference. Sensitivity analysis by history of HF at baseline was performed for prospective outcomes. Results In 63,700 participants, we identified 866 CMP variant carriers of which 518 identified as DCM carriers (age 65±9 yrs, male 66%), 194 HCM carriers (65.5±9 yrs, male 69%), and 125 ARVC carriers (66±9 yrs, male 77%). Out of the 518 DCM variant carriers, 402 had a PLP variant in TTN. DCM variant carriers had higher odds of history of HF (Odds ratio [OR] 1.94, 1.57-2.39, p<0.0001) whereas this was not observed for HCM variant carriers (OR 1.18, 0.85-1.65, p=0.33) or ARVC variant carriers (OR 1.23, 0.80-1.90, p=0.35). Over a mean follow-up of 2.5 years, the rate of HHF was significantly higher for DCM variant carriers (Hazard ratio [HR] 1.58, 1.14-2.20, p=0.006), HCM variant carriers (HR 2.78, 1.87-4.13, p<0.001), and ARVC variant carriers (HR 1.89, 1.02-3.53, p=0.04). These associations were, if anything, stronger in patients without HF at baseline (HR 2.06, 1.30-3.25) than in patients with HF at baseline (HR 1.48, 1.12-1.95). DCM variant carriers also had a higher rate of CV death (HR 1.50, 1.05-2.12, p=0.02), which was not observed for HCM (HR 1.10, 0.57-2.11, p=0.78) or ARVC (HR 0.35, 0.09-1.41, p=0.14) variant carriers. Conclusion In 5 contemporary CV trials, CMP variant carriers have an increased rate of HHF, while DCM variant carriers also have a higher rate of CV death. These findings motivate better identification of these high-risk individuals and the incorporation of genetic testing in CV trials.

CriteriaMapper: establishing the automatic identification of clinical trial cohorts from electronic health records by matching normalized eligibility criteria and patient clinical characteristics

The use of electronic health records (EHRs) holds the potential to enhance clinical trial activities. However, the identification of eligible patients within EHRs presents considerable challenges. We aimed to develop a CriteriaMapper system for phenotyping eligibility criteria, enabling the identification of patients from EHRs with clinical characteristics that match those criteria. We utilized clinical trial eligibility criteria and patient EHRs from the Mount Sinai Database. The CriteriaMapper system was developed to normalize the criteria using national standard terminologies and in-house databases, facilitating computability and queryability to bridge clinical trial criteria and EHRs. The system employed rule-based pattern recognition and manual annotation. Our system normalized 367 out of 640 unique eligibility criteria attributes, covering various medical conditions including non-small cell lung cancer, small cell lung cancer, prostate cancer, breast cancer, multiple myeloma, ulcerative colitis, Crohn’s disease, non-alcoholic steatohepatitis, and sickle cell anemia. About 174 criteria were encoded with standard terminologies and 193 were normalized using the in-house reference tables. The agreement between automated and manual normalization was high (Cohen’s Kappa = 0.82), and patient matching demonstrated a 0.94 F1 score. Our system has proven effective on EHRs from multiple institutions, showing broad applicability and promising improved clinical trial processes, leading to better patient selection, and enhanced clinical research outcomes.

Telemedicine-assisted cardiac rehabilitation: A controlled cohort clinical trial

Introduction. The traditional method of cardiac rehabilitation (CR) recommends continuing physical training at home, but many patients do not follow these instructions and the effectiveness of the rehabilitation program decreases. Thanks to the use of telemedicine technologies, the doctor can remotely monitor the patient’s condition, ensuring the safety and effectiveness of training.Aim. To test the method of organizing telemedicine support for CR of patients who have suffered a myocardial infarction.Materials and methods. During the study, 27 patients underwent CR with telemedicine support, and 26 patients underwent traditional CR. To assess the effectiveness of using telemedicine technologies in CR, the results of the six-minute walk test under the control of an electrocardiogram were assessed using the Accordix telemedicine system (Neurosoft LLC, Ivanovo) before and after the rehabilitation program.Results. After the end of the CR, in the group of patients with telemedicine support, during the six-minute walk test, reliable indicators of an increase in the distance covered were revealed compared to the results of patients in the control group (72 [52; 99.5] m vs. 45 [0.75; 51] m, p < 0.05), restoration of tolerance to physical activity (the ratio of the distance covered to the expected 15 [11.5; 18.5]% vs. 3 [-1.75; 8.75]%, p < 0.05), as well as an increase in the time the pulse stays in the training corridor (15% vs. 0.04%, p < 0.05). Also, in patients in the telemedicine CR group, the number of workouts was significantly higher (14.5 [12.5; 17] vs. 8.5 [4.5; 11.5], p < 0.05).Conclusion. The presented method of conducting CR using telemedicine technologies has shown greater efficiency compared to the traditional approach. Changes recorded using ECG are analyzed by the telemedicine system, ensuring control and safety of physical activity. The use of telemedicine technologies allows the patient to reduce the fear of repeated myocardial infarction and increase adherence to CR.

Pathogenesis of interstitial lung disease in systemic sclerosis.

Interstitial lung disease (ILD) is a frequent important complication of systemic sclerosis (SSc). Factors relevant to aetiopathogenesis of SSc are also central to SSc-ILD. Severity of SSc-ILD is variable but it has a major impact on morbidity and mortality. Factors determining SSc-ILD susceptibility reflect the genetic architecture of SSc and are increasingly being defined. There are aspects linked to immunogenomics and non-immunological genetic factors that may be less conserved and underlie some of the geographical and racial diversity of SSc. These associations may also underlie important links between autoantibody subgroups and patient level risk of SSc-ILD. Examination of blood and tissue samples and observational clinical research together with integrated analysis of in vitro and in vivo preclinical models have elucidated pathogenic mechanisms of SSc-ILD. These have confirmed the potential importance of immune mechanisms in the innate and adaptive immune systemic as well as a significant role for profibrotic pathways especially transforming growth factor beta (TGFbeta) and its regulators and downstream mediators. Recent analysis of clinical trial cohorts as well as integrated and multilevel high dimensional analysis of bio-samples has shed further light on SSc-ILD. This is likely to underpin future advances in stratified and precision medicine for treatment of SSc.

Spatial analyses revealed S100P + TFF1 + tumor cells in spread through air spaces samples correlated with undesirable therapy response in non-small cell lung cancer

Spread through air spaces (STAS) is a recognized aggressive pattern in lung cancer, serving as a crucial risk factor for postoperative recurrence. However, its phenotype and related spatial structure have remained elusive. To address these limitations, we conducted a comprehensive study based on spatial data, analyzing over 30,000 spots from 14 non-STAS samples and one STAS sample. We observed increased proliferation activities and angiogenesis in STAS, identifying S100P as a potential biomarker for STAS. Furthermore, our investigation into the heterogeneity of STAS tumor cells revealed a subset identified as S100P + TFF1 +, exhibiting a negative impact on patients' survival in public datasets. This subtype exhibited the highest activities in the TGFb and hypoxia, suggesting its potential pro-tumor role within the tumor microenvironment. To assess the role of S100P + TFF1 + tumor cells in therapy response, we included data from two clinical trial cohorts (BPI-7711 for EGFR-TKI therapy and ORIENT-3 for immunotherapy). The presence of S100P + TFF1 + tumor cells correlated with worse responses to both EGFR-TKI therapy and immunotherapy. Notably, TFF1 emerged as a serum marker for predicting EGFR-TKI response. Cell–cell communication analysis revealed that the TGFb signaling pathway was the most activated in S100P + TFF1 + tumor cells, with TGFB2-TGFBR2 identified as the main ligand-receptor pair. This was further validated by multiplex immunofluorescence performed on twenty NSCLC samples. In summary, our study identified S100P as the biomarker for STAS and highlighted the adverse role of S100P + TFF1 + tumor cells in survival outcomes.

Development and Validation of SCACOMS, a Composite Scale for Assessing Disease Progression and Treatment Effects in Spinocerebellar Ataxia.

Spinocerebellar ataxias (SCA) are rare inherited neurodegenerative disorders characterized by a progressive impairment of gait, balance, limb coordination, and speech. There is currently no composite scale that includes multiple aspects of the SCA experience to assess disease progression and treatment effects. Applying the method of partial least squares (PLS) regression, we developed the Spinocerebellar Ataxia Composite Scale (SCACOMS) from two SCA natural history datasets (NCT01060371, NCT02440763). PLS regression selected items based on their ability to detect clinical decline, with optimized weights based on the item's degree of progression. Following model validation, SCACOMS was leveraged to examine disease progression and treatment effects in a 48-week SCA clinical trial cohort (NCT03701399). Items from the Clinical Global Impression-Global Improvement Scale (CGI-I), the Friedreich Ataxia Rating Scale (FARS) - functional stage, and the Modified Functional Scale for the Assessment and Rating of Ataxia (f-SARA) were objectively selected with weightings based on their sensitivity to clinical decline. The resulting SCACOMS exhibited improved sensitivity to disease progression and greater treatment effects (compared to the original scales from which they were derived) in a 48-week clinical trial of a novel therapeutic agent. The trial analyses also provided a SCACOMS-derived estimate of the temporal delay in SCA disease progression. SCACOMS is a useful composite measure, effectively capturing disease progression and highlighting treatment effects in patients with SCA. SCACOMS will be a powerful tool in future studies given its sensitivity to clinical decline and ability to detect a meaningful clinical impact of disease-modifying treatments.

Soluble Mesothelin-Related Peptide as a Prognosticator in Pleural Mesothelioma Patients Receiving Checkpoint Immunotherapy

Immune checkpoint therapy (ICT) has significantly impacted malignant pleural mesothelioma (MPM) treatment. Despite some promising results from combination therapies, nearly half of MPM patients do not benefit, underscoring the urgent need for reliable predictive biomarkers. This study assesses the prognostic value of serum soluble mesothelin-related peptide (SMRP) and PD-L1 levels in MPM patients receiving ICT. We conducted a retrospective analysis of 125 MPM patients treated with ICT by measuring pre-ICT serum levels of SMRP and PD-L1. We also examined the correlation of these serum levels with tumor mRNA expressions of MSLN and PD-L1. Both univariable and multivariable Cox regression analyses were used to determine independent prognosticators for overall survival (OS). A prospective ICT clinical trial and our historical cohort were included for validation. Seventy-seven patients (62%) were treated with either anti-PD-(L)1 monotherapy, and the remaining 38% were given combination ICT. Higher pre-ICT SMRP levels were observed in epithelioid versus non-epithelioid MPM. Serum PD-L1 levels did not show significant differences between the groups. Univariable analysis identified durable clinical benefit, development of immune-related adverse events, and SMRP levels as significantly associated with OS. Multivariable analysis confirmed SMRP as an independent prognostic factor, with lower levels (≤1.35 nmol/L) correlating with improved OS. The association of high SMRP with worse prognosis was validated in the prospective ICT clinical trial cohort and not in our historical cohort treated without ICT. SMRP is a promising serum biomarker for predicting survival in MPM patients treated with ICT and warrants prospective investigation.

Assessment of the reliability, responsiveness, and meaningfulness of the scale for the assessment and rating of ataxia (SARA) for lysosomal storage disorders.

To evaluate the reliability, responsiveness, and validity of theScale for the Assessment and Rating of Ataxia (SARA) in patients with lysosomal storage disorders (LSDs) who present with neurological symptoms, and quantify the threshold for a clinically meaningful change. We analyzed data from three clinical trial cohorts (IB1001-201, IB1001-202, and IB1001-301) of patients with Niemann-Pick disease type C (NPC) and GM2 Gangliosidoses (Tay-Sachs and Sandhoff disease) comprising 122 patients and 703 visits. Reproducibility was described as re-test reliability between repeat baseline visits or baseline and post-treatment washout visits. Responsiveness was determined in relation to the Investigator's, Caregiver's, and Patient's Clinical Global Impression of Improvement (CGI-I). The CGI-I data was also used to quantify a threshold for a clinically meaningful improvement on the SARA scale. Using a qualitative methods approach, patient/caregiver interviews from the IB1001-301 trial were further used to assess a threshold of meaningful change as well as the breadth of neurological signs and symptoms captured and evaluated by the SARA scale. The Inter-Class Correlation (ICC) was 0.95 or greater for all three trials, indicating a high internal consistency/reliability. The mean change in SARA between repeat baseline and post-treatment washout visit assessments in all trials was -0.05, SD 1.98, i.e., minimal, indicating no significant differences, learning effects or other systematic biases. For the CGI-I responses and change in SARA scores, Area Under the Curve (AUC) values were 0.82, 0.71, and 0.77 for the Investigator's, Caregiver's, and Patient's CGI-I respectively, indicating strong agreement. Further qualitative analyses of the patient/caregiver interviews demonstrated a 1-point or greater change on SARA to be a clinically meaningful improvement which is directly relevant to the patient's everyday functioning and quality of life. Changes captured by the SARA were also paralleled by improvement in a broad range of neurological signs and symptoms and beyond cerebellar ataxia. Qualitative and quantitative data demonstrate the reliability and responsiveness of the SARA score as a valid measure of neurological signs and symptoms in LSDs with CNS involvement, such as NPC and GM2 Gangliosidoses. A 1-point change represents a clinically meaningful transition reflecting the gain or loss of complex function.

Digital Clock and Recall: a digital, process-driven evolution of the Mini-Cog.

Alzheimer's disease and related dementias (ADRD) represent a substantial global public health challenge with multifaceted impacts on individuals, families, and healthcare systems. Brief cognitive screening tools such as the Mini-Cog© can help improve recognition of ADRD in clinical practice, but widespread adoption continues to lag. We compared the Digital Clock and Recall (DCR), a next-generation process-driven adaptation of the Mini-Cog, with the original paper-and-pencil version in a well-characterized clinical trial sample. DCR was administered to 828 participants in the Bio-Hermes-001 clinical trial (age median ± SD = 72 ± 6.7, IQR = 11; 58% female) independently classified as cognitively unimpaired (n = 364) or as having mild cognitive impairment (MCI, n = 274) or dementia likely due to AD (DLAD, n = 190). MCI and DLAD cohorts were combined into a single impaired group for analysis. Two experienced neuropsychologists rated verbal recall accuracy and digitally drawn clocks using the original Mini-Cog scoring rules. Inter-rater reliability of Mini-Cog scores was computed for a subset of the data (n = 508) and concordance between Mini-Cog rule-based and DCR scoring was calculated. Inter-rater reliability of Mini-Cog scoring was good to excellent, but Rater 2's scores were significantly higher than Rater 1's due to variation in clock scores (p < 0.0001). Mini-Cog and DCR scores were significantly correlated (τ B = 0.71, p < 0.0001). However, using a Mini-Cog cut score of 4, the DCR identified more cases of cognitive impairment (n = 47; χ 2 = 13.26, p < 0.0005) and Mini-Cog missed significantly more cases of cognitive impairment (n = 87). In addition, the DCR correctly classified significantly more cognitively impaired cases missed by the Mini-Cog (n = 44) than vice versa (n = 4; χ 2 = 21.69, p < 0.0001). Our findings demonstrate higher sensitivity of the DCR, an automated, process-driven, and process-based digital adaptation of the Mini-Cog. Digital metrics capture clock drawing dynamics and increase detection of diagnosed cognitive impairment in a clinical trial cohort of older individuals.

Introduction of a New Satellite Model for Participation in Clinical Trials in a Consortial Comprehensive Cancer Center with Four University Hospitals in Germany

Introduction: The trend toward personalized medicine leads to very small study cohorts for clinical trials, which makes it difficult to recruit patients in a single study center. On the other hand, the administrative effort required to initiate a clinical trial is very high. As a result, Germany runs the risk of falling behind other countries as a trial location. For this reason, the Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD) has been working on the challenge of a new satellite model in which the main trial center is the only one to conclude a trial center contract with the sponsor and also handles all formalities with it. The remaining sites constitute the satellites. In contrast to former satellite models, the entire study-related interventions are carried out at each site in the present model. Methods: In order to evaluate the approvability of the model, contact was made with both higher federal authorities and the responsible inspectorate, and none of them declared themselves responsible for a possible basic approval. The four ethics committees contacted agreed to the model subject to certain framework conditions. In addition, the model was validated by the preparation of several legal opinions on various issues (medical, labor, antitrust law). Conclusion: Study participation close to home is a decisive advantage for multimorbid patients. As up to four locations form a trial site in the model, a large catchment area can be covered with reduced administrative costs. The satellite model developed is intended to give patients broader access to medical innovations in cancer therapy.

Improving Cognition Without Clearing Amyloid: Effects of Tau and Ultrasound Neuromodulation.

Alzheimer's disease is characterized by progressive impairment of neuronal functions culminating in neuronal loss and dementia. A universal feature of dementia is protein aggregation, a process by which a monomer forms intermediate oligomeric assembly states and filaments that develop into end-stage hallmark lesions. In Alzheimer's disease, this is exemplified by extracellular amyloid-β (Aβ) plaques which have been placed upstream of tau, found in intracellular neurofibrillary tangles and dystrophic neurites. This implies causality that can be modeled as a linear activation cascade. When Aβ load is reduced, for example, in response to an anti-Aβ immunotherapy, cognitive functions improve in plaque-forming mice. They also deteriorate less in clinical trial cohorts although real-world clinical benefits remain to be demonstrated. Given the existence of aged humans with unimpaired cognition despite a high plaque load, the central role of Aβ has been challenged. A counter argument has been that clinical symptoms would eventually develop if these aged individuals were to live long enough. Alternatively, intrinsic mechanisms that protect the brain in the presence of pathology may exist. In fact, Aβ toxicity can be abolished by either reducing or manipulating tau (through which Aβ signals), at least in preclinical models. In addition to manipulating steps in this linear pathocascade model, mechanisms of restoring brain reserve can also counteract Aβ toxicity. Low-intensity ultrasound is a neuromodulatory modality that can improve cognitive functions in Aβ-depositing mice without the need for removing Aβ. Together, this highlights a dissociation of Aβ and cognition, with important implications for therapeutic interventions.

Screening for chronic kidney disease: change of perspective and novel developments.

Chronic kidney disease (CKD) is a serious health issue because of its rising global prevalence and its complications, such as kidney failure and cardiovascular disease (CVD). CKD is mainly diagnosed late or undiagnosed, delaying or missing the initiation of preventive interventions. Screening can prevent or delay progressive kidney function decline and CVD. This article reviews diagnostic tests and risk prediction developments for patients with CKD, highlights key evidence for targeted screening, and provides new insights into population-wide screening. Large cohort studies and clinical trial data established the strong association of albuminuria with CKD outcomes, supporting the role of albuminuria as target of CKD screening and treatment. Significant advances in both risk prediction of CKD and CVD in CKD patients and treatment options provided new evidence for the relevance and implications of CKD screening. Guidelines recommend targeted screening in high-risk patients, but evidence suggests limited adherence to guideline recommendations. More recently, population-wide screening has been investigated as another approach, showing potential effectiveness and cost-effectiveness. There is increasing evidence for the methods, implications, and effectiveness of CKD screening. Implementing and optimizing screening strategies requires enhanced awareness and understanding of the possibilities for CKD screening within different healthcare systems.

Supplemental Nutrition Assistance Program participation gaps within a pediatric leukemia clinical trial cohort.

Poverty-exposed children with cancer are more likely to experience adverse outcomes. Supplemental Nutrition Assistance Program (SNAP) benefits improve food insecurity and child health outcomes, and could be used to mitigate disparities. We conducted a secondary analysis of parent-reported data collected in a frontline pediatric leukemia trial (NCT03020030) to assess SNAP eligibility (proxied by other means-tested program participation) and participation. At diagnosis, 105/287 families (37%) were SNAP-eligible, of whom 53 (50%) were SNAP participants. At 6months, 104/257 families (41%) were SNAP-eligible, and 59 (57%) were SNAP participants. Interventions to increase benefits participation during childhood cancer treatment represent an immediate opportunity to reduce disparities.