Treatment patterns, healthcare resource utilization, and costs in Medicare patients with diffuse large B-cell lymphoma: a retrospective claims analysis (2015-2020).

AIMS: To understand treatment patterns, healthcare resource utilization (HCRU), and the economic burden of diffuse large B-cell lymphoma (DLBCL) in elderly adults in the US. MATERIALS AND METHODS: This retrospective database analysis utilized US Centers for Medicare and Medicaid Services Medicare fee-for-service administrative claims data from 2015 to 2020 to describe DLBCL patient characteristics, treatment patterns, HCRU, and costs among patients aged ≥66 years. Patients were indexed at DLBCL diagnosis and required to have continuous enrollment from 12 months pre-index until 3 months post-index. HCRU and costs (USD 2022) are reported as per-patient per-month (PPPM) estimates. RESULTS: A total of 11,893 patients received ≥1-line (L) therapy; 1,633 and 391 received ≥2 L and ≥3 L therapies, respectively. Median (Q1, Q3) age at 1 L, 2 L, and 3 L initiation, respectively, was 76 (71, 81), 77 (72, 82), and 77 (72, 82) years. The most common therapy was R-CHOP (70.9%) for 1 L and bendamustine ± rituximab for 2 L (18.7%) and 3 L (17.4%). CAR T was used by 14.8% of patients in 3 L. Overall, 39.6% (1 L), 42.1% (2 L), and 47.8% (3 L) of patients had all-cause hospitalizations. All-cause mean (median [Q1-Q3]) costs PPPM during each line were $22,060 ($20,121 [$16,676-$24,597]) in 1 L, $30,027 ($20,868 [$13,416-$31,016]) in 2 L, and $47,064 ($25,689 [$15,555-$44,149]) in 3 L, with increasing costs driven primarily by inpatient expenses. Total all-cause 3 L mean (median [Q1-Q3]) costs PPPM for patients with and without CAR T were $153,847 ($100,768 [$26,534-$253,630]) and $28,466 ($23,696 [$15,466-$39,107]), respectively. CONCLUSIONS: No clear standard of care exists in 3 L therapy for older adults with relapsed/refractory DLBCL. The economic burden of DLBCL intensifies with each progressing line of therapy, thus underscoring the need for additional therapeutic options.

Logistical challenges of CAR T-cell therapy in non-Hodgkin lymphoma: a survey of healthcare professionals.

Aim: Characterize the logistical challenges faced by healthcare professionals (HCPs), patients and caregivers during the chimeric antigen receptor T-cell (CAR T) treatment process for non-Hodgkin lymphoma patients.Materials & methods: HCPs in the US and UK experienced with CAR T administration participated in interviews and completed a web-based survey.Results: A total of 133 (80 US, 53 UK) HCPs participated. Two or more logistical challenges were identified by ≥60% of respondents across all stages of the CAR T process. Commonly reported challenges were lengthy waiting periods, administrative and payer-related barriers, limited healthcare capacity, caregiver support and (particularly in the US) patient out-of-pocket costs.Conclusion: The CAR T treatment process presents numerous challenges, highlighting an unmet need for more convenient therapies.

Chimeric antigen receptor T-cell (CAR T) therapy is a new treatment for patients with non-Hodgkin lymphoma that have not responded to other types of treatment. CAR T therapy uses a person's own immune cells (T cells), which are modified in a laboratory to attack cancer cells. While CAR T therapy has the potential to be effective, there are challenges associated with the treatment process. In this study, we surveyed 133 healthcare professionals (HCPs) in the United States and United Kingdom to understand their experiences with logistical challenges involved in navigating the CAR T process. More than 60% of participants identified two or more logistical challenges at every stage of the CAR T treatment process. The most commonly reported challenges included long waiting periods, limited room at hospitals, availability of caregivers to support patients and issues related to out-of-pocket costs, travel and lodging for patients who are treated at specialized centers. In the United States, challenges related to insurance coverage and out-of-pocket costs for patients were highlighted. More than half of HCPs reported that patients' cancer getting worse while waiting to receive CAR T was a reason why patients may not proceed to treatment. While operational improvements might address some challenges in the CAR T treatment process, these findings highlight the need for more convenient, readily available and easily administered therapies for patients with non-Hodgkin lymphoma.

Comparisons of treatment outcomes of epcoritamab versus chemoimmunotherapy, polatuzumab-based regimens, tafasitamab-based regimens, or chimeric antigen receptor T-cell therapy, in third-line or later relapsed/refractory large B-cell lymphoma.

Many therapies are available for the treatment of relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) after ≥ 2 lines of therapy, albeit with scant evidence on the comparative effectiveness of these therapies. This study used inverse probability of treatment weighting to indirectly compare treatment outcomes of epcoritamab from the EPCORE NHL-1 trial with individual patient data from clinical practice cohorts treated with chemoimmunotherapy (CIT) and novel therapies (polatuzumab-based regimens, tafasitamab-based regimens, and chimeric antigen receptor T-cell [CAR T] therapies) for third-line or later R/R large B-cell lymphoma (LBCL) and DLBCL. In this analysis, epcoritamab demonstrated significantly better response rates and overall survival rates than CIT, polatuzumab-based regimens, and tafasitamab-based regimens. No statistically significant differences in response rates or survival were found for epcoritamab compared with CAR T in R/R LBCL.

Relationship between ankle dorsiflexion range of motion and sprinting and jumping ability in young athletes.

OBJECTIVES: To investigate the relationship between predicted risk of injury based on the dichotomous classification of the weight-bearing lunge (WBL) test scores and variables related to jumping and sprinting ability in young athletes. Furthermore, to compare the impact of the classical dichotomous classification versus a more specific quartile subdivision of the WBL test scores on the explored variables. DESIGN: Cross-sectional study. PARTICIPANTS: 125 healthy athletes (mean age 10.38 (SD = 2.28) years) were recruited. MAIN OUTCOME MEASURES: Ankle dorsiflexion was evaluated with the WBL test, jumping distance with the standing long jump (SLJ) test, and maximal running speed with the 14-m and 28-m sprint test. RESULTS: Athletes with WBL test scores lower than 10 cm exhibited significantly poorer results for the SLJ test as well as lower 14-m and 28-m sprint times than those with WBL test scores higher than 10 cm (p < 0.05). Likewise, when WBL test scores were subdivided by quartiles, a positive trend between range of motion and improved performance was shown. CONCLUSIONS: Reduced ankle dorsiflexion mobility may affect sprinting and jumping ability in young athletes. In addition, a more detailed classification of ankle restriction by quartiles is proposed in this study in order to prevent injury and enhance athletic performance.

Development and benchmarking of a Deep Learning-based MRI-guided gross tumor segmentation algorithm for Radiomics analyses in extremity soft tissue sarcomas.

BACKGROUND: Volume of interest (VOI) segmentation is a crucial step for Radiomics analyses and radiotherapy (RT) treatment planning. Because it can be time-consuming and subject to inter-observer variability, we developed and tested a Deep Learning-based automatic segmentation (DLBAS) algorithm to reproducibly predict the primary gross tumor as VOI for Radiomics analyses in extremity soft tissue sarcomas (STS). METHODS: A DLBAS algorithm was trained on a cohort of 157 patients and externally tested on an independent cohort of 87 patients using contrast-enhanced MRI. Manual tumor delineations by a radiation oncologist served as ground truths (GTs). A benchmark study with 20 cases from the test cohort compared the DLBAS predictions against manual VOI segmentations of two residents (ERs) and clinical delineations of two radiation oncologists (ROs). The ROs rated DLBAS predictions regarding their direct applicability. RESULTS: The DLBAS achieved a median dice similarity coefficient (DSC) of 0.88 against the GTs in the entire test cohort (interquartile range (IQR): 0.11) and a median DSC of 0.89 (IQR 0.07) and 0.82 (IQR 0.10) in comparison to ERs and ROs, respectively. Radiomics feature stability was high with a median intraclass correlation coefficient of 0.97, 0.95 and 0.94 for GTs, ERs, and ROs, respectively. DLBAS predictions were deemed clinically suitable by the two ROs in 35% and 20% of cases, respectively. CONCLUSION: The results demonstrate that the DLBAS algorithm provides reproducible VOI predictions for radiomics feature extraction. Variability remains regarding direct clinical applicability of predictions for RT treatment planning.

Influence of Service Conditions and Mix Design on the Physical-Mechanical Properties of Roller-Compacted Concrete for Pavement.

This research focuses on the behavior of roller-compacted concrete (RCC) used in pavements, which are prone to deterioration affecting their performance. These deteriorations result from various causes, including traffic load, errors during construction, mix design, and ambient conditions. Among these, ambient conditions could lead to a marked variable impact on material behavior and durability depending on the conditions associated with each region. Accordingly, this study aims to deepen the understanding of the effect, which a broader range of ambient conditions and different mix designs have on the physical and mechanical properties of RCC. Measurements such as the amount of water vapor per kilogram of air were used to apply the findings comprehensively. The RCC analysis encompassed experimentation with different compositions, altering the cement water ratio amount, and adding a superplasticizer. The impact of curing on the materials was evaluated before subjecting them to various humidity and temperature conditions. Laboratory tests were conducted to measure performance, including moisture, shrinkage, compressive strength, and the progression of flexural fracture resistance over curing periods of up to 90 days. The results revealed a logarithmic correlation between shrinkage and ambient humidity, which is the most determining factor in performance. Mix optimization through increased cement and reduced water enhanced the tensile strength of the material. Furthermore, the curing process was confirmed to increase resistance to shrinkage, especially in the long term, establishing it as a crucial element for the structural stability of RCC, which is relatively insensitive to variations in ambient conditions.

Prediction of the Physical-Mechanical Properties of Roller-Compacted Concrete Pavements under Different Service and Mix Conditions Based on Cement and Water Content.

Roller-compacted concrete (RCC) for pavements has experienced problems with its physical-mechanical performance over extended periods due to ambient and in situ curing conditions. Accordingly, this study aimed to present multiple regression equations for calculating the physical-mechanical properties of RCC for pavements under different service and mix conditions. For this purpose, the research included two cement and two water contents, one reduced with admixture, and four combinations of temperature and relative humidity. For model calibration and definition of the equations, cubic and beam samples were fabricated to carry out physical-mechanical tests, such as moisture content, shrinkage, and modulus of rupture. Laboratory-obtained data were studied with the Response Surface Methodology (RSM) to determine the best regression equations. The main findings determined that the behavior of a mixture of RCC at a prolonged ambient exposure time is possible because the surface models and the RSM were consistent with the different service and mix conditions. The models showed an accuracy of 98.99% in detecting shrinkage changes from 12 to 16% cement with 5.65% water in dry to wet ambient conditions. Similarly, moisture content and modulus of rupture had a 98.27 to 98.88% fit. Finally, the drying shrinkage, with mixes of 12% cement and water content variations with water-reducing admixture and superplasticizer effects, had an adjustment of 94.87%.

Inteligencia artificial y lenguaje médico (III) / Artificial intelligence and medical language (III)

A principios de enero de 2023, la revista Nature se hacía eco de un artículo3 subido a finales de diciembre, sin revisión, al servidor bioRxiv. Los autores pidieron a GePeTo que redactara sendos resúmenes de 50 artículos publicados en cinco revistas biomédicas punteras: The Journal of the American Medical Association (JAMA), The New England Journal of Medicine, The British Medical Journal (BMJ), The Lancet y Nature Medicine. Cuando pasaron un detector automático de plagio a estos resúmenes generados por GePeTo, el resultado fue de un 100% de originalidad. A continuación, presentaron estos 50 resúmenes creados con IA y los 50 resúmenes originales publicados en las revistas a un grupo de científicos con experiencia como revisores externos para importantes publicaciones, y les pidieron que trataran de adivinar cuáles eran humanos y cuáles generados por IA. Un chimpancé tecleando a ciegas (o lanzando al aire una moneda) obtendría una tasa esperable de aciertos del 50%. Los revisores humanos identificaron correctamente como obra de GePeTo apenas el 68% de los resúmenes generados, y reconocieron erróneamente como escritos por IA un 14% de los resúmenes originales publicados. No está nada mal, la verdad, para un bot con menos de un mes de vida; todo apunta a que en los años venideros lo irá haciendo cada vez mejor, y que a corto plazo los textos generados por IA serán indistinguibles de los textos humanos para el común de los lectores. (AU)

Treatment Outcomes with Standard of Care in Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Real-World Data Analysis.

INTRODUCTION: Despite new therapies for relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL), treatments with chemotherapy, single-agent rituximab/obinutuzumab, single-agent lenalidomide, or combinations of these agents continue to be commonly used. METHODS: This retrospective study utilized longitudinal data from 4226 real-world electronic health records to characterize outcomes in patients with R/R DLBCL. Eligible patients were diagnosed with DLBCL between January 2010 and March 2022 and had R/R disease treated with ≥ 1 prior systemic line of therapy (LOT), including ≥ 1 anti-CD20-containing regimen. RESULTS: A total of 573 patients treated with ≥ 1 prior LOT were included (31.2% and 13.4% with ≥ 2 and ≥ 3 prior LOTs, respectively). Median duration of follow-up was 7.7 months. Most patients (57.1%) were male; mean standard deviation (SD) age was 63 (14.7) years. Overall and complete response rates (95% confidence interval (CI) were 52% (48-56) and 23% (19-27). Median duration of response and duration of complete response were 3.5 and 18.4 months. Median progression-free and overall survival (95% CI) was 3.0 (2.8-3.3) and 12.9 (10.1-16.9) months, respectively. Patients with a higher number of prior LOTs, primary refractoriness, refractoriness to last LOT, refractoriness to last anti-CD20-containing regimen, and prior CAR T exposure had worse outcomes (i.e., challenging-to-treat R/R DLBCL) compared with those without these characteristics. CONCLUSIONS: Outcomes in patients with R/R DLBCL treated with chemotherapy, single-agent rituximab/obinutuzumab, single-agent lenalidomide, or combinations of these agents remain poor, especially for those with challenging-to-treat R/R DLBCL. These findings underscore the unmet need for new, safe, and effective therapies, especially for challenging-to-treat R/R DLBCL populations.

Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.

The Circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to affect the risk, severity, and clinical outcome of serious neuro-vascular diseases. However, characterizing the highly variable CoW anatomy is still a manual and time-consuming expert task. The CoW is usually imaged by two angiographic imaging modalities, magnetic resonance angiography (MRA) and computed tomography angiography (CTA), but there exist limited public datasets with annotations on CoW anatomy, especially for CTA. Therefore we organized the TopCoW Challenge in 2023 with the release of an annotated CoW dataset. The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology. It was also the first large dataset with paired MRA and CTA from the same patients. TopCoW challenge formalized the CoW characterization problem as a multiclass anatomical segmentation task with an emphasis on topological metrics. We invited submissions worldwide for the CoW segmentation task, which attracted over 140 registered participants from four continents. The top performing teams managed to segment many CoW components to Dice scores around 90%, but with lower scores for communicating arteries and rare variants. There were also topological mistakes for predictions with high Dice scores. Additional topological analysis revealed further areas for improvement in detecting certain CoW components and matching CoW variant topology accurately. TopCoW represented a first attempt at benchmarking the CoW anatomical segmentation task for MRA and CTA, both morphologically and topologically.

Assessing the Quality of YouTube's Incontinence Information after Cancer Surgery: An Innovative Graphical Analysis.

BACKGROUND: Prostate and colorectum cancers rank among the most common cancers, and incontinence is a significant postsurgical issue affecting the physical and psychological well-being of cancer survivors. Social media, particularly YouTube, has emerged as a vital source of health information. While YouTube offers valuable content, users must exercise caution due to potential misinformation. OBJECTIVE: This study aims to assess the quality of publicly available YouTube videos related to incontinence after pelvic cancer surgery. METHODS: A search on YouTube related to "Incontinence after cancer surgery" was performed, and 108 videos were analyzed. Multiple quality assessment tools (DISCERN, GQS, JAMA, PEMAT, and MQ-VET) and statistical analyses (descriptive statistics and intercorrelation tests) were used to evaluate the characteristics and popularity, educational value, quality, and reliability of these videos, relying on novel graphical representation techniques such as Sankey and Chord diagrams. RESULTS: Strong positive correlations were found among quality rating scales, emphasizing agreement. The performed graphical analysis reinforced the reliability and validity of quality assessments. CONCLUSIONS: This study found strong correlations among five quality scales, suggesting their effectiveness in assessing health information quality. The evaluation of YouTube videos consistently revealed "high" quality content. Considering the source is mandatory when assessing quality, healthcare and academic institutions are reliable sources. Caution is advised with ad-containing videos. Future research should focus on policy improvements and tools to aid patients in finding high-quality health content.

Exploring the Implications of Inter-Limb Asymmetries on Sprint, Agility, and Jump Performance in Young Highly-Trained Basketball Athletes: Is There a Relevant Threshold?

Background and Objectives: This study aimed to investigate the magnitude of vertical jump inter-limb asymmetries among young highly-trained basketball athletes and to analyze its impact on sport performance, specifically in sprints, agility, and vertical jumps. Materials and Methods: A unilateral countermovement jump (CMJ) was employed to determine Inter-limb Index Asymmetry (IAI) in 320 participants aged from 14 to 18 years, from the Valencia Basket youth academy. IAI was categorized into three groups: 0-9.9%, 10-14.9%, and >15%. The relationship between IAI and performance variables was analyzed through correlation studies (Pearson or Spearman's). The influence of IAI magnitude was assessed using ANOVA or Kruskal-Wallis analysis, with leg dominance as a covariable. SPSS Statistics version 26 was used for analysis. Results: Among all the participants, the mean IAI was 10.6%. Correlation studies revealed non-significant values (p < 0.05) between IAI and sport performance variables. The three IAI magnitude groups did not show statistically significant differences in sprint, agility, and jump outcomes. Leg dominance did not seem to influence performance outcomes, except for unilateral CMJ. Conclusions: The results obtained challenge the assumption that an IAI above 10% negatively affects sprint, agility, or jump performance in young basketball athletes. Notably, the magnitude of IAI did not influence sport performance parameters, suggesting that the 10-15% threshold from previous studies may not be applicable to this population. The study emphasizes the need to understand lower-limb asymmetries in the context of specific sport task performance, considering the potential evolution over time among affected young athletes.

Social inequalities in the use of physiotherapy in women diagnosed with breast cancer in Barcelona: DAMA cohort.

PURPOSE: This study aimed to analyze social inequalities in the use and access of physiotherapy service and its clinical and socio-economic determinants in women diagnosed with breast cancer in the hospital network of Barcelona. METHODS: Data from 2235 women belonging to the mixed (prospective and retrospective) DAMA Cohort were analyzed, including demographic, socio-economic, clinical, and breast cancer treatment outcomes. To determine the influence of such variables on access to physiotherapy, different Poisson regression models with robust variance (obtaining Prevalence Ratios and confidence intervals) were estimated. RESULTS: Although when experiencing different chronic and acute symptoms, only between 20 and 35% of women visited physiotherapist. Two out of 3 women reported to have received insufficient information about medical care and rehabilitation. Age of women, job occupation, education level, having a mutual or private insurance, as well as outcomes related to breast cancer, appear to be factors influencing the access to physiotherapy. CONCLUSIONS: Social and economic inequalities exist on the access to physiotherapy by women diagnosed with breast cancer, which is generally low, and may clearly impact on their functional recovery. Promoting strategies to reduce social bias, as well as improve communication and patient information regarding physiotherapy may be of interest for a better health care in breast cancer diagnosed women.