Clinical outcome predictors for metastatic renal cell carcinoma: a retrospective multicenter real-life case series.

Over the last decades, the therapeutic armamentarium of metastatic renal cell carcinoma (mRCC) has been revolutionized by the advent of tyrosin-kinase inhibitors (TKI), immune-checkpoint inhibitors (ICI), and immune-combinations. RCC is heterogeneous, and even the most used validated prognostic systems, fail to describe its evolution in real-life scenarios. Our aim is to identify potential easily-accessible clinical factors and design a disease course prediction system. Medical records of 453 patients with mRCC receiving sequential systemic therapy in two high-volume oncological centres were reviewed. The Kaplan-Meier method and Cox proportional hazard model were used to estimate and compare survival between groups. As first-line treatment 366 patients received TKI monotherapy and 64 patients received ICI, alone or in combination. The mean number of therapy lines was 2.5. A high Systemic Inflammation Index, a BMI under 25 Kg/m2, the presence of bone metastases before systemic therapy start, age over 65 years at the first diagnosis, non-clear-cell histology and sarcomatoid component were correlated with a worse OS. No significant OS difference was observed between patients receiving combination therapies and those receiving exclusively monotherapies in the treatment sequence. Our relapse prediction system based on pathological stage and histological grade was effective in predicting the time between nephrectomy and systemic treatment. Our multicentric retrospective analysis reveals additional potential prognostic factors for mRCC, not included in current validated prognostic systems, suggests a model for disease course prediction and describes the outcomes of the most common therapeutic strategies currently available.

Real-World efficacy and safety of combination nivolumab plus ipilimumab for Untreated, Unresectable, pleural Mesothelioma: The Meso-Immune (GFPC 04-2021) trial.

BACKGROUND: First-line standard-of-care for unresectable, pleural mesothelioma (PM) changed with the phase 3 CheckMate 743 study results, showing that nivolumab plus ipilimumab (Nivo + Ipi) significantly extended overall survival (OS) versus platinum + pemetrexed chemotherapy for PM (median OS 18.1 versus 14.1 months; hazard ratio: 0.74; p = 0.002). Efficacy and safety data in real-world (rw) settings are needed to confirm these results. METHODS: This French multicenter, retrospective cohort study was undertaken to assess the outcomes of treatment-naïve PM patients given Nivo + Ipi via an early-access program (EAP). The primary objective was investigator-assessed real world -progression-free survival (PFS). The secondary objectives were the combination's -overall survival (OS) and safety. RESULTS: From 1 April 2021 to 15 Feb 2022, the analysis included 201 of the 305 EAP-enrolled patients treated in 63 centers (79.6 % men; median age: 75 years; 91.8 % Eastern Cooperative Oncology Group performance status (ECOG-PS) 0/1; 74.5 % epithelioid histology). With median (95 % CI) follow-up for all patients of 18.4 (17.7-19.2) months, -PFS and OS were 6.3 (5.3-7.5) and 18.9 (17.6-not reached (NR)) months, with 1-year OS at 66.4 % (60.1-73.3 %). Median OS and 1-year survival rates were 21.0 (18.7-NR) and 70.8 % (63.9 %-780.6 %), and 14.1 (10.9-21.0) months and 54.9 % (42.8 %-70.4 %) for epithelioid and non-epithelioid PM subgroups, respectively. PFS was equal between the two subgroups. Grade 3-4 adverse events occurred in 23.3 % of patients and three deaths were treatment-related. CONCLUSIONS: For this unselected PM population, efficacy and safety outcomes compared favorably with CheckMate 743 trial results.

A first assessment of the safe brain initiative care bundle for addressing postoperative delirium in the postanesthesia care unit.

BACKGROUND: Postoperative delirium (POD) following surgery is a prevalent and distressing condition associated with adverse patient outcomes and an increased healthcare burden. OBJECTIVES: To assess the effectiveness of the Safe Brain Initiative care bundle (SBI-CB) in reducing POD in the postanesthesia care unit (PACU). DESIGN: A multicenter, quality-improvement initiative with retrospective analysis of collected data. SETTING: The study was conducted in the operating rooms and postanesthesia care units (PACUs) of four hospitals across Denmark and Turkey. PATIENTS: The convenience sample of patients were aged ≥18 years, scheduled for surgery, and could communicate verbally. Age, sex, preoperative delirium, and the American Society for Anesthesiology physical status classification were used in statistical methods to control for potential confounding influences. INTERVENTION: The SBI-CB, 18 delirium-reducing recommendations aligned with international guidelines. The intervention included patient education, staff training, coordination meetings across centers, and a dashboard for the monitoring of outcomes in the PACU. MAIN OUTCOME MEASURES: The primary outcome was the POD trend in the PACU during implementation months, assessed through Nu-DESC screening at up to three time points in the PACU. We also examined the length of hospital stay. RESULTS: Data were collected from 18,697 adult patients across four hospitals. Initial POD incidence in the PACU after the first three months was 16.36% across all sites (n = 1021). POD in the PACU was observed across all age groups, with peak incidence in younger (18-35 years) and older (>75 years) patients. General anesthesia and longer surgical duration (>1 h) were identified as significant risk factors for POD in the PACU. Matched patients who experienced POD in the PACU had longer stays in hospital, with a mean increase from 35 to 69 h (p < 0.001). Implementation of the SBI-CB was associated with a decreased risk of POD in the PACU for each month of SBI-CB implementation (adjusted odds ratio 0.96, 95% confidence interval: [0.94, 0.97], p < 0.001). CONCLUSIONS: The presented pragmatic implementation of a multidisciplinary care bundle, encompassing pre-, intra-, and postoperative measures alongside outcome monitoring, has the potential to significantly reduce the incidence of POD in the PACU. Improved patient outcomes may be achieved for general surgical departments with patient cohorts not typically considered at risk for developing POD. TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT05765162.

Characteristics and outcomes of patients with COVID-19 at high risk of disease progression receiving sotrovimab, oral antivirals or no treatment in England: a retrospective cohort study.

OBJECTIVE: To describe characteristics and acute clinical outcomes for patients with COVID-19 treated with sotrovimab, nirmatrelvir/ritonavir or molnupiravir, or untreated patients at highest risk per National Health Service (NHS) criteria. METHODS: Retrospective study of non-hospitalized patients between 1 December 2021 and 31 May 2022, using data from the Discover-NOW dataset (North-West London). Included patients were aged ≥12 years and treated with sotrovimab, nirmatrelvir/ritonavir or molnupiravir, or untreated but expected to be eligible for early treatment per NHS highest-risk criteria. COVID-19-related and all-cause hospitalizations were reported for 28 days from COVID-19 diagnosis (index). Subgroup analyses were conducted in patients with advanced renal disease, those aged 18-64 and ≥65 years, and by period of Omicron BA.1, BA.2 and BA.5 (post-hoc exploratory) predominance. RESULTS: Overall, 1503 treated and 4044 eligible high-risk untreated patients were included. A high proportion of patients on sotrovimab had advanced renal disease (29.3%), ≥3 high-risk comorbidities (47.6%) and were aged ≥65 years (36.9%). Five of 696 (0.7%) patients on sotrovimab, <5/337 (0.3-1.2%) on nirmatrelvir/ritonavir, 10/470 (2.1%) on molnupiravir and 114/4044 (2.8%) untreated patients were hospitalized with COVID-19. Similar results were observed across all subgroups. The proportion of patients dying within 28 days of the index period was similarly low across all cohorts (<2%). CONCLUSION: Patients receiving sotrovimab appeared to show evidence of multiple high-risk comorbidities. Low hospitalization rates were observed for all treated cohorts across subgroups and periods of predominant variants of concern. These results require confirmation with comparative effectiveness analyses adjusting for differences in underlying patient characteristics.

Trends in heart failure costs for commercially insured patients in the United States (2006-2021).

BACKGROUND: Although prior research has estimated the overarching cost burden of heart failure (HF), a thorough analysis examining medical expense differences and trends, specifically among commercially insured patients with heart failure, is still lacking. Thus, the study aims to examine historical trends and differences in medical costs for commercially insured heart failure patients in the United States from 2006 to 2021. METHODS: A population-based, cross-sectional analysis of medical and pharmacy claims data (IQVIA PharMetrics® Plus for Academic) from 2006 to 2021 was conducted. The cohort included adult patients (age > = 18) who were enrolled in commercial insurance plans and had healthcare encounters with a primary diagnosis of HF. The primary outcome measures were the average total annual payment per patient and per cost categories encompassing hospitalization, surgery, emergency department (ED) visits, outpatient care, post-discharge care, and medications. The sub-group measures included systolic, diastolic, and systolic combined with diastolic, age, gender, comorbidity, regions, states, insurance payment, and self-payment. RESULTS: The study included 422,289 commercially insured heart failure (HF) patients in the U.S. evaluated from 2006 to 2021. The average total annual cost per patient decreased overall from $9,636.99 to $8,201.89, with an average annual percentage change (AAPC) of -1.11% (95% CI: -2% to -0.26%). Hospitalization and medication costs decreased with an AAPC of -1.99% (95% CI: -3.25% to -0.8%) and - 3.1% (95% CI: -6.86-0.69%). On the other hand, post-discharge, outpatient, ED visit, and surgery costs increased by an AAPC of 0.84% (95% CI: 0.12-1.49%), 4.31% (95% CI: 1.03-7.63%), 7.21% (95% CI: 6.44-8.12%), and 9.36% (95% CI: 8.61-10.19%). CONCLUSIONS: The study's findings reveal a rising trend in average total annual payments per patient from 2006 to 2015, followed by a subsequent decrease from 2016 to 2021. This decrease was attributed to the decline in average patient costs within the Medicare Cost insurance category after 2016, coinciding with the implementation of the Medicare Access and CHIP Reauthorization Act (MACRA) of 2015. Additionally, expenses related to surgical procedures, emergency department (ED) visits, and outpatient care have shown substantial growth over time. Moreover, significant differences across various variables have been identified.

Initiation of lipid-lowering therapy as primary prevention of cardiovascular disease in the elderly.

AIMS: This study aimed to analyse the initiation adherence phase to lipid-lowering therapy for primary prevention of cardiovascular disease in a Spanish population aged 70 years or older. The secondary objective was to identify the determinants of initiation and early discontinuation. METHODS: This was an observational study conducted in the CArdiovascular Risk factors for HEalth Service research (CARhES) cohort. People aged 70 and older with a first prescription of a lipid-lowering drug and without a previous major adverse cardiovascular event (MACE) were selected (2018-2021). Data on sociodemographics, clinical conditions, drugs and use of health services were collected from clinical and administrative electronic databases. The study population was classified into: non-initiation, early discontinuation (i.e., discontinuation after the first dispensing) and initiation with more than one dispensing. Their characteristics were compared. Determinants of initiation and early discontinuation were explored. RESULTS: Among the 15 019 people studied, 80.2% initiated the medication, 11.2% showed an early discontinuation and 8.6% were non-initiators. An older age or conditions such as dementia, diabetes or depression reduced the likelihood of initiation, while obesity and a high pharmacological burden increased it. People over 90 years of age or those prescribed a statin in combination were more likely to have an early discontinuation. CONCLUSIONS: Non-initiation and early discontinuation are common among older people prescribed lipid-lowering drugs as primary prevention of cardiovascular disease for the first time. The presence of chronic pathologies other than cardiovascular ones should be considered when assessing whether or not to prescribe these drugs in the elderly.

The prediagnostic general practitioner care of sarcoma patients: A real-world data study.

BACKGROUND: Limited understanding exists regarding early sarcoma symptoms presented during general practitioner (GP) consultations. The study explores GP visit patterns and recorded diagnoses in the 12 months preceding sarcoma diagnosis. METHODS: Sarcoma cases diagnosed from 2010 to 2020 were identified through the Netherlands Cancer Registry alongside general practice data. Sarcoma cases were age and gender matched to cancer-free controls (2:1 or 1:1 ratio). RESULTS: A total of 787 individuals with soft-tissue sarcoma (STS) and 188 individuals with bone sarcoma (BS) were identified. There was a significant difference in monthly GP contacts from 4 months to the last month before STS diagnosis, and 2 months before BS diagnosis between cases and controls. Most prevalent diagnoses recorded by the GP for STS cases included musculoskeletal neoplasm (26.6%), uncomplicated hypertension (15.6%), and cystitis/other urinary infections (12.2%). For BS cases, musculoskeletal neoplasm (42.8%), knee symptoms/complaints (9.7%), and shoulder symptoms/complaints (9.7%) were most frequent. CONCLUSIONS AND DISCUSSION: A significant difference in GP contacts between cases and controls preceding sarcoma diagnosis. STS cases were predominantly diagnosed with nonspecific symptoms, whereas BS cases with diagnoses more suggestive of BS. Better understanding of the prediagnostic trajectory could aid GPs in early identification of sarcoma.

Addressing data imbalance in Sim2Real: ImbalSim2Real scheme and its application in finger joint stiffness self-sensing for soft robot-assisted rehabilitation.

The simulation-to-reality (sim2real) problem is a common issue when deploying simulation-trained models to real-world scenarios, especially given the extremely high imbalance between simulation and real-world data (scarce real-world data). Although the cycle-consistent generative adversarial network (CycleGAN) has demonstrated promise in addressing some sim2real issues, it encounters limitations in situations of data imbalance due to the lower capacity of the discriminator and the indeterminacy of learned sim2real mapping. To overcome such problems, we proposed the imbalanced Sim2Real scheme (ImbalSim2Real). Differing from CycleGAN, the ImbalSim2Real scheme segments the dataset into paired and unpaired data for two-fold training. The unpaired data incorporated discriminator-enhanced samples to further squash the solution space of the discriminator, for enhancing the discriminator's ability. For paired data, a term targeted regression loss was integrated to ensure specific and quantitative mapping and further minimize the solution space of the generator. The ImbalSim2Real scheme was validated through numerical experiments, demonstrating its superiority over conventional sim2real methods. In addition, as an application of the proposed ImbalSim2Real scheme, we designed a finger joint stiffness self-sensing framework, where the validation loss for estimating real-world finger joint stiffness was reduced by roughly 41% compared to the supervised learning method that was trained with scarce real-world data and by 56% relative to the CycleGAN trained with the imbalanced dataset. Our proposed scheme and framework have potential applicability to bio-signal estimation when facing an imbalanced sim2real problem.

Metabolic syndrome and depression: evidence from a cross-sectional study of real-world data in Japan.

BACKGROUND: Both metabolic syndrome (MetS) and depression are high priority health problems, especially for working age. Numerous studies have explored the link between metabolic syndrome and depression; however, not all of them have consistently demonstrated an association. The objective of this study was to determine whether there is an association between MetS and depression by analyzing extensive real-world data (RWD). METHODS: Our data was drawn from insurance claims and health checkups of local government officials across all prefectures in Japan except for Tokyo in the 2019 fiscal year. According to the number of months with diagnosis of depression and prescription of antidepressants, the study participants were classified into the following categories: Certainly not Depression (CN), Possibly not Depression (PN), Possible Depression (PD), and Certain Depression (CD). Associations between MetS and its components-visceral obesity, hypertension, hyperlipidemia, and diabetes- and these categories of depression were analyzed by logistic regression. RESULTS: The depression categories of the 130,059 participants were as follows: CN 85.2%; PN 6.9%; PD 3.9%; and CD 4.1%. For men, the adjusted odds ratio (AOR) for MetS were PN 0.94 (95% CI: 0.86-1.02), PD 1.31 (1.19-1.43), and CD 1.63 (1.50-1.76), with reference to CN. For women, AOR of MetS were PN 1.10 (0.91-1.32), PD 1.54 (1.24-1.91), and CD 2.24 (1.81-2.78). Among the MetS components, visceral obesity, hyperlipidemia, and diabetes were significantly associated with depression categories. CONCLUSIONS: In this study, we found a significant association between MetS and depression, this association being similar to that previously reported. Our findings provide robust evidence for linkage between MetS and depression, suggesting that analysis of RWD is useful for providing concrete evidence.

The CARMEN-France registry of adult patients with immune thrombocytopenia and autoimmune hemolytic anemia in France.

The CARMEN-France registry is a prospective, multicenter registry in France including adult patients with a new diagnosis of immune thrombocytopenia or of autoimmune immune hemolytic anemia (2402 patients included in December 31, 2023). The recording of clinical, biological and treatment data allows detailed epidemiological and pharmacoepidemiological real-world studies. This review summarizes the CARMEN-France registry protocol, gives examples of studies conducted in the registry, and indicates future directions such as inclusion of patient reported outcomes, linkage with the French national health insurance database and linkage with other registries in Europe.

RWE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 16.

In this update, we discuss recent US FDA guidance offering more specific guidelines on appropriate study design and analysis to support causal inference for non-interventional studies and the launch of the European Medicines Agency (EMA) and the Heads of Medicines Agencies (HMA) public electronic catalogues. We also highlight an article recommending assessing data quality and suitability prior to protocol finalization and a Journal of the American Medical Association-endorsed framework for using causal language when publishing real-world evidence studies. Finally, we explore the potential of large language models to automate the development of health economic models.

Trajectories of BMI before and after diagnosis of type 2 diabetes in a real-world population.

AIMS/HYPOTHESIS: Few studies have examined the clinical characteristics associated with changes in weight before and after diagnosis of type 2 diabetes. Using a large real-world cohort, we derived trajectories of BMI before and after diabetes diagnosis, and examined the clinical characteristics associated with these trajectories, including assessing the impact of pre-diagnosis weight change on post-diagnosis weight change. METHODS: We performed an observational cohort study using electronic medical records from individuals in the Scottish Care Information Diabetes Collaboration database. Two trajectories were calculated, based on observed BMI measurements between 3 years and 6 months before diagnosis and between 1 and 5 years after diagnosis. In the post-diagnosis trajectory, each BMI measurement was time-dependently adjusted for the effects of diabetes medications and HbA1c change. RESULTS: A total of 2736 individuals were included in the study. There was a pattern of pre-diagnosis weight gain, with 1944 individuals (71%) gaining weight overall, and 875 (32%) gaining more than 0.5 kg/m2 per year. This was followed by a pattern of weight loss after diagnosis, with 1722 individuals (63%) losing weight. Younger age and greater social deprivation were associated with increased weight gain before diagnosis. Pre-diagnosis weight change was unrelated to post-diagnosis weight change, but post-diagnosis weight loss was associated with older age, female sex, higher BMI, higher HbA1c and weight gain during the peri-diagnosis period. When considering the peri-diagnostic period (defined as from 6 months before to 12 months after diagnosis), we identified 986 (36%) individuals who had a high HbA1c at diagnosis but who lost weight rapidly and were most aggressively treated at 1 year; this subgroup had the best glycaemic control at 5 years. CONCLUSIONS/INTERPRETATION: Average weight increases before diagnosis and decreases after diagnosis; however, there were significant differences across the population in terms of weight changes. Younger individuals gained weight pre-diagnosis, but, in older individuals, type 2 diabetes is less associated with weight gain, consistent with other drivers for diabetes aetiology in older adults. We have identified a substantial group of individuals who have a rapid deterioration in glycaemic control, together with weight loss, around the time of diagnosis, and who subsequently stabilise, suggesting that a high HbA1c at diagnosis is not inevitably associated with a poor outcome and may be driven by reversible glucose toxicity.

The safety and effectiveness of naldemedine for opioid-induced constipation in patients with advanced cancer in real-world palliative care settings: a multicenter prospective observational study.

PURPOSE: In this study, we aimed to evaluate the safety and effectiveness of naldemedine for treating opioid-induced constipation (OIC) in patients with advanced cancer, who are receiving palliative care, and particularly explored its early effects. METHODS: Palliative care teams and inpatient palliative care units across 14 institutions in Japan were included in this multicenter, prospective, observational study. Patients who were newly prescribed a daily oral dose of 0.2 mg naldemedine were enrolled. The spontaneous bowel movement (SBM) within 24 h after the first dose of naldemedine was considered the primary outcome, whereas, the secondary outcomes included weekly changes in SBM frequency and adverse events. RESULTS: A total of 204 patients were enrolled and 184 completed the 7-day study. The average age of the participants (103 males, 101 females) was 63 ± 14 years. The primary cancer was detected in the lungs (23.5%), gastrointestinal tract (13.7%), and urological organs (9.3%). A considerable proportion of patients (34.8%) had ECOG performance status of 3-4. Most patients were undergoing active cancer treatment, however, 40.7% of the patients were receiving the best supportive care. Within 24 h of the first naldemedine dose, 146 patients (71.6%, 95% CI: 65.4-77.8%) experienced SBMs. The weekly SBM counts increased in 62.7% of the participants. The major adverse events included diarrhea and abdominal pain, detected in 17.6% and 5.4% of the patients, respectively. However, no serious adverse events were observed. CONCLUSION: Conclusively, naldemedine is effective and safe for OIC treatments in real-world palliative care settings. TRIAL REGISTRATION NUMBER: UMIN000031381, registered 20/02/2018.

Real-world experience with letermovir for cytomegalovirus-prophylaxis after allogeneic hematopoietic cell transplantation: A multi-centre observational study.

OBJECTIVES: Efficacy and safety of letermovir as prophylaxis for clinically significant cytomegalovirus infections (csCVMi) was evaluated in randomised controlled trials while most of the real-world studies are single-centre experiences. METHODS: We performed a retrospective, multi-centre case-control study at six German university hospitals to evaluate clinical experiences in patients receiving CMV prophylaxis with letermovir (n = 200) compared to controls without CMV prophylaxis (n = 200) during a 48-week follow-up period after allogeneic hematopoietic cell transplantation (aHCT). RESULTS: The incidence of csCMVi after aHCT was significantly reduced in the letermovir (34%, n = 68) compared to the control group (56%, n = 112; p < 0.001). Letermovir as CMV prophylaxis (OR 0.362) was found to be the only independent variable associated with the prevention of csCMVi. Patients receiving letermovir showed significantly better survival compared to the control group (HR = 1.735, 95% CI: 1.111-2.712; p = 0.014). Of all csCMVi, 46% (n = 31) occurred after discontinuation of letermovir prophylaxis. Severe neutropenia (<500 neutrophils/µL) on the day of the stem cell infusion was the only independent variable for an increased risk of csCMVi after the end of letermovir prophylaxis. CONCLUSIONS: Our study highlights the preventive effects of letermovir on csCMVi after aHCT. A substantial proportion of patients developed a csCMVi after discontinuation of letermovir. In particular, patients with severe neutropenia require specific attention after drug discontinuation.

Identifying influencing factors of metabolic syndrome in patients with major depressive disorder: A real-world study with Bayesian network modeling.

BACKGROUND: The bidirectional relationships between metabolic syndrome (MetS) and major depressive disorder (MDD) were discovered, but the influencing factors of the comorbidity were barely investigated. We aimed to fully explore the factors and their associations with MetS in MDD patients. METHODS: The data were retrieved from the electronic medical records of a tertiary psychiatric hospital in Beijing from 2016 to 2021. The influencing factors were firstly explored by univariate analysis and multivariate logistic regressions. The propensity score matching was used to reduce the selection bias of participants. Then, the Bayesian networks (BNs) with hill-climbing algorithm and maximum likelihood estimation were preformed to explore the relationships between influencing factors with MetS in MDD patients. RESULTS: Totally, 4126 eligible subjects were included in the data analysis. The proportion rate of MetS was 32.6 % (95 % CI: 31.2 %-34.1 %). The multivariate logistic regression suggested that recurrent depression, uric acid, duration of depression, marriage, education, number of hospitalizations were significantly associated with MetS. In the BNs, number of hospitalizations and uric acid were directly connected with MetS. Recurrent depression and family history psychiatric diseases were indirectly connected with MetS. The conditional probability of MetS in MDD patients with family history of psychiatric diseases, recurrent depression and two or more times of hospitalizations was 37.6 %. CONCLUSION: Using the BNs, we found that number of hospitalizations, recurrent depression and family history of psychiatric diseases contributed to the probability of MetS, which could help to make health strategies for specific MDD patients.

Healthcare resource utilization and economic burden of multiple sclerosis in Chinese patients: results from a real-world survey.

Multiple sclerosis (MS) is uncommon in China and the standard of care is underdeveloped, with limited utilization of disease-modifying treatment (DMT). An understanding of real-world disease burden (including direct medical, non-medical, and indirect costs, such as loss of productivity), is currently lacking in this population. To investigate the overall burden of managing patients with MS in China, a cross-sectional survey of physicians and their consulting patients with MS was conducted in 2021. Physicians provided information on healthcare resource utilization (HCRU; consultations, hospitalizations, tests, medication) and associated costs. Patients provided data on changes in their life, productivity, and impairment of daily activities due to MS. Results were stratified by disease severity using generalized linear models, with a p value < 0.05 considered statistically significant. Patients with more severe disease had greater HCRU, including hospitalizations, consultations and tests/scans, and incurred higher direct and indirect costs and productivity loss, compared with those with milder disease. However, the use of DMT was higher in patients with mild disease severity. With the low uptake and limited efficacy of non-DMT drugs, Chinese patients with MS experience a high disease burden and significant unmet needs. Therapeutic interventions could help save downstream costs and lessen societal burden.

PRIMCAT-CRC: a data-driven whole disease simulation model for predicting the number of colorectal cancer patients by stage and treatment line in Australia.

OBJECTIVES: Effective healthcare planning, resource allocation, and budgeting require accurate predictions of the number of patients needing treatment at specific cancer stages and treatment lines. The PRedicting the population health economic IMpact of current and new Cancer Treatments Colorectal Cancer (PRIMCAT-CRC) simulation model was developed to meet this requirement for all CRC stages and relevant molecular profiles in Australia. METHODS: Real-world data was used to estimate treatment utilisation and time-to-event distributions. This populated a discrete-event simulation, projecting the number of patients receiving treatment across all disease stages and treatment lines for CRC and forecasting the number of patients likely to utilise future treatments. Illustrative analyses were undertaken, estimating treatments across disease stages and treatment lines over a 5-year period (2022-2026). We demonstrated the model's applicability through a case study introducing pembrolizumab as a first-line treatment for mismatch-repair deficient stage IV. RESULTS: Clinical registry data from 7,163 patients informed the model. The model forecasts 15,738 incident and 2,821 prevalent cases requiring treatment in 2022, rising to 15,921 and 2,871 respectively by 2026. Projections show that over 2022-2026, there will be a total of 116,752 treatments initiated, with 43% intended for stage IV disease. The introduction of pembrolizumab is projected for 706 patients annually, totalling 3,530 individuals starting treatment with pembrolizumab over the forecasted period, without significantly altering downstream utilisation of subsequent treatments. CONCLUSIONS: PRIMCAT-CRC is a versatile tool that can be used to estimate the eligible patient populations for novel cancer therapies, thereby reducing uncertainty for policymakers in decisions to publicly reimburse new treatments.

Core data set para la generación de datos de la vida real en esclerosis múltiple: adaptación de una iniciativa global para América Latina / Core data set for real world data in multiple sclerosis: customization for latin america from a global task force recommendation

Introducción: Los objetivos primarios del core data set son reducir la heterogeneidad y promover la armonización entre las fuentes de datos en la esclerosis múltiple (EM), reduciendo así el tiempo necesario para ejecutar esfuerzos en la recolección de datos de vida real. Recientemente, un grupo liderado por la Multiple Sclerosis Data Alliance ha desarrollado un core data set para la recolección de datos del mundo real en EM a nivel global. Nuestro objetivo ha sido adaptar y consensuar este conjunto de datos globales a las necesidades de América Latina para que pueda ser implementado por los registros ya desarrollados y en proceso de desarrollo en la región. Material y métodos. Se conformó un grupo de trabajo regionalmente y se adaptó el core data set creado globalmente (proceso de traducción al español, incorporación de variables regionales y consenso sobre variables que se iban a utilizar). El consenso se obtuvo a través de la metodología Delphi remoto de ronda de cuestionarios y discusión a distancia de las variables del core data set. Resultados: Veinticinco profesionales de América Latina llevaron adelante el proceso de adaptación entre noviembre de 2022 y julio de 2023. Se estableció un acuerdo sobre un core data set de nueve categorías y 45 variables, versión 2023, con la sugerencia de implementarlo en registros desarrollados o en vías de desarrollo y cohortes de EM en la región. Conclusión: El core data set busca armonizar las variables recolectadas por los registros y las cohortes de EM en América Latina con el fin de facilitar dicha recolección y permitir una colaboración entre fuentes. Su implementación facilitará la recolección de datos de vida real y la colaboración en la región.(AU)

Introduction: The primary objective of the core data set is to reduce heterogeneity and promote harmonization among data sources in EM, thereby reducing the time needed to execute real life data collection efforts. Recently, a group led by the Multiple Sclerosis Data Alliance has developed a core data set for collecting real-world data on multiple sclerosis (MS) globally. Our objective was to adapt this global data set to the needs of Latin America, so that it can be implemented by the registries already developed and in the process of development in the region. Material and methods: A working group was formed regionally, the core data set created globally was adapted (translation process into Spanish, incorporation of regional variables and consensus on variables to be used). Consensus was obtained through the remote Delphi methodology of a round of questionnaires and remote discussion of the core data set variables. Results: A total of 25 professionals from Latin America carried out the adaptation process between November 2022 and July 2023. Agreement was established on a core data set of nine categories and 45 variables, version 2023 to suggest its implementation in developed or developing registries, and MS cohorts in the region. Conclusion: The core data set seeks to harmonize the variables collected by registries and cohorts in MS in Latin America in order to facilitate said collection and allow collaboration between sources. Its implementation will facilitate real life data collection and collaboration in the region.(AU)

Effectiveness of fremanezumab treatment in patients with migraine headache.

OBJECTIVE: To evaluate the efficacy and safety of fremanezumab for migraine prevention. DESIGN: Retrospective, single-center, real-world study. SETTING: Regional tertiary headache center in Japan. SUBJECTS: Adult individuals with migraine (n = 165, male = 17, female = 148; average age = 45.5 ± 16.0 years) who received fremanezumab between September 2021 and August 2022. METHODS: Fremanezumab was administered subcutaneously at a monthly dose of 225 mg or quarterly dose of 675 mg based on patient preferences. Patients received fremanezumab treatment for up to 1 year unless it was discontinued. Monthly data were collected on migraine days, headache days, and days requiring acute medication. RESULTS: Of the 165 patients, 125 (75.7%) received fremanezumab as their first anti-calcitonin gene-related peptide-related antibody drug. Significant reductions in monthly migraine days, headache days, and days requiring acute medication were observed in those with episodic and chronic migraines. The baseline monthly headache days was 8.1 ± 4.0 in the episodic migraine group, which reduced to 6.1 ± 4.8, 5.8 ± 4.4, 4.7 ± 3.6, and 4.6 ± 3.3 days at 1, 3, 6, and 12 months, respectively; in the chronic migraine group, the baseline monthly headache days was 20.9 ± 6.1, which reduced to 17.0 ± 8.9, 15.0 ± 9.2, 13.0 ± 7.7, and 12.0 ± 9.1 days at 1, 3, 6, and 12 months, respectively. Treatment benefits were enhanced after 6 months of administering fremanezumab in the chronic migraine group. CONCLUSIONS: In this real-world study of patients with migraine, fremanezumab appears to be effective and safe. Further studies are required to identify additional predictors of treatment success and failure with fremanezumab.

Analysis of post-market adverse events of tafamidis base on the FDA adverse event reporting system.

Tafamidis is the world's first and only oral drug approved to treat the rare disease transthyretin amyloid cardiomyopathy (ATTR-CM). Medicines are known to have different adverse reactions during the course of treatment. However, the current limited clinical studies did not identify significant adverse drug reactions to tafamidis. Tafamidis has been on the market for 5 years now, a large number of adverse drug event (ADE) reports with tafamidis as the primary suspected drug have been reported in the United Food and Drug Administration's adverse event reporting system (FAERS). We retrieved 8170 adverse event reports in FAERS with tafamidis as the first suspected drug, and mined these reports for positive signals to perform risk warnings for potentially possible adverse events with tafamidis. We found that a large number of adverse events associated with the primary disease were reported due to insufficient awareness of ATTR among the reporters, leading to a large number of positive signals reported in the cardiac disorders system. We also found that tafamidis has the potential to cause an adverse event risks of ear and labyrinth disorders system and urinary tract infection bacterial, which deserve continued clinical attention.