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AIM: To assess the real-world impact of glucose-lowering drugs (GLDs) as an adjunct to insulin in Chinese patients with type 1 diabetes (T1DM). METHODS: This dual-center, observational, retrospective study included 121 T1DM patients receiving GLDs as adjuncts and 56 participants with insulin-only drugs as comparators. Glycated hemoglobin A1c (HbA1c), daily insulin dosage, fasting blood glucose (FBG), postprandial blood glucose (PBG), nocturnal blood glucose (NBG) and the difference in trough and peak blood glucose levels on the same day (Δ TP) were assessed at baseline and at the end of the study. RESULTS: In total, HbA1c decreased by 1.14% in the GLD+insulin group (p < 0.0001) and 0.36% in the insulin-only group (p = 0.0423, mean adjusted difference, -0.09% [95% CI, -0.55 to 0.37]). The total daily insulin concentration was reduced by 7.34 U per day in the GLD+insulin group vs. 5.55 U per day in the insulin-only group (mean adjusted difference, -2.32 U [95% CI, -4.97 to 0.33]). In particular, among patients with fasting C-peptide levels < 17 pmol/L, the total daily insulin concentration was significantly reduced by 9.22 U vs. 5.09 U per day (mean adjusted difference, -3.84 [95% CI, -6.85-0.84]; p = 0.0129). There were no notable differences in the other glycemic indices between the two groups. A gradual downward trend in changes in glycemic outcomes was observed among patients treated with various combinations of metformin, acarbose, and dipeptidyl peptidase 4 inhibitor (DPP-4i). Similar reductions in the daily insulin dose were also detected in most of the GLD+insulin group in addition to the DPP-4i-only group. No severe hypoglycemia was induced by additional GLDs. CONCLUSIONS: The use of additional GLDs tends to improve glycemic outcomes and reduce insulin requirements in patients with T1DM. These results indicate that the use of GLDs as an adjunctive therapy may have been an effective treatment strategy among adults with T1DM in China.

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BACKGROUND: Pralsetinib, a selective RET targeted tyrosine kinase inhibitor (TKI), has been approved for treating locally advanced or metastatic RET fusion-positive NSCLC in adults who have previously received platinum-based chemotherapy in China. METHODS: In this retrospective analysis conducted at Hunan Cancer Hospital in China, we examined 36 patients with advanced NSCLC with RET fusion, who were treated with pralsetinib between January 2021 and December 2023. The study focused on assessing the efficacy (Progression-free survival (PFS) and overall survival (OS)) and safety profile of pralsetinib in these patients. Statistical analyses were conducted using SPSS version 20.0, with a significance level set at p < 0.05. RESULTS: The results revealed that pralsetinib exhibited significant activity in this patient cohort. Kaplan-Meier survival analysis indicated a median PFS of 10.7 months and a median OS of 21.2 months. The overall response rate(ORR) and disease control rate (DCR) was 55.6 % and 72.2 %, respectively. Pralsetinib was generally well tolerated, with most adverse events being mild to moderate (grades 1-2). The most common serious adverse events (≥grade 3) observed were lymphopenia (13.9 %), hypertension (11.1 %), leukopenia (8.3 %), neutropenia (8.3 %), and creatine kinase elevation (8.3 %). CONCLUSION: Pralsetinib demonstrated promising activity in patients with advanced NSCLC harboring RET fusion with a favorable safety profile.

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As an important intermediary between upstream refineries and downstream urban gas stations, volatile organic compound (VOC) emissions from urban oil depots were often disregarded, underestimating their environmental and health implications. An extensive investigation of urban depots' fuel composition and operational dynamics was conducted nationwide. We developed a novel approach that integrates theoretical models with easily measurable operational data from the depots to evaluate the efficiency of post-treatment devices in actual situations. Even in well-managed oil depots, the actual control efficiency of vapor recovery units fluctuates between 63 % and 85 %, depending on the concentration of hydrocarbon vapors in the intake of the device. The national emission factors for gasoline, diesel, and aviation kerosene at a national level were 6.64 ± 1.16, 2.07 ± 0.42, and 6.17 ± 1.05 tons per 10,000 tons, respectively. In 2019, China's urban oil depots emitted 165 thousand tons of VOC. Enhancing control strategies by optimizing the physical and chemical parameters of refined oil, improving storage capacity and turnover efficiency, and upgrading storage tanks had the potential to reduce emissions by more than 60 %. However, a 30 % failure rate in these systems could negate the benefits of these improved strategies.

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BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utilizing electronic health records (EHR) to forecast the risk of hypoglycemia among ICU patients in Jordan. RESEARCH DESIGN AND METHODS: The present study drew upon a substantial cohort of 13,567 patients admitted 26,248 times to the intensive care unit (ICU) over 10 years from July 2012 to July 2022. The primary outcome of interest was the occurrence of any hypoglycemic episode during the patient's ICU stay. Developing and testing predictor models was conducted using Python machine-learning libraries. RESULTS: A total of 1,896 were eligible to participate in the study, 206 experienced at least one hypoglycemic episode. Eight machine-learning models were trained to predict hypoglycemia. All models showed predicting power with a range of 74.53-99.69 for AUROC. Except for Naive Bayes, the six remaining models performed distinctly better than the basic logistic regression usually used for prediction in epidemiological studies. CatBoost model was consistently the best performer with the highest AUROC (0.99), accuracy and precision, sensitivity and specificity, and recall. CONCLUSIONS: We used machine learning to anticipate the likelihood of hypoglycemia, which can significantly decrease hypoglycemia incidents and enhance patient outcomes.

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BACKGROUND: Drug-induced urinary retention (DIUR) can severely impact patient quality of life and complicate treatment. This study investigates the incidence and characteristics of DIUR using data from the FDA Adverse Event Reporting System (FAERS) over 20 years. METHODS: FAERS reports related to urinary retention (UR) from Q1 2004 to Q1 2024 were analyzed. Potential causative drugs were identified, and the top 30 drugs with the most UR reports were ranked. Statistical disproportionality analyses, including Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), were conducted to detect significant safety signals. RESULTS: Out of 17,703,515 reports in the FAERS database 28,423 cases of UR were identified. Anticholinergics, antidepressants, and opioids were the most frequently implicated drug classes. The highest ROR and PRR values were observed for drugs like ezogabine. Additionally, less commonly associated drugs, such as adalimumab and others, were implicated, suggesting potential under-recognition of this adverse effect. However, these associations should be interpreted with caution, as they do not confirm a direct causal relationship. CONCLUSION: This study underscores the importance of pharmacovigilance in identifying and understanding DIUR. Further research is needed to confirm these findings and develop strategies to manage and reduce the risk, improving patient outcomes.

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Patients with chronic myeloid leukemia (CML) who have failed conventional tyrosine kinase inhibitors (cTKIs) and asciminib constitute a complex group of patients with few therapeutic options. A retrospective descriptive multicenter observational study was carried out including patients with CML who had presented a therapeutic failure to ≥ 2 cTKIs and asciminib, and had received or were not candidates to ponatinib. Of the 19 patients enrolled, 8 patients failed asciminib due to intolerance and 11 due to resistance. The most common strategy for intolerant patients was to initiate a previously administered cTKI (6/8) with dose adjustments or symptomatic management of adverse events (AEs). Of the patients who failed due to resistance, only patients who underwent progenitor transplantation achieved profound long-term responses. A frequent strategy was to use ponatinib (4/11) in patients previously considered non-candidates, with poor responses in patients in whom dose reductions were used, and severe AEs in patients at standard doses. In the remaining patients, cTKIs and other agents (interferon, hydroxyurea, citarabine, busulfan) were used with poor responses. Patients who progressed to advanced stages had a dismal prognosis. With a median follow-up of 11.2 months, overall survival of the global cohort was 73%; 100% for intolerant patients, 71% for resistant patients and 25% for those who discontinue asciminib in accelerated/blastic phase.

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Background: The Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that is developed and maintained by the Observational Health Data Sciences and Informatics (OHDSI) community supports large scale cancer research by enabling distributed network analysis. As the number of studies using the OMOP CDM for cancer research increases, there is a growing need for an overview of the scope of cancer research that relies on the OMOP CDM ecosystem. Objectives: In this study, we present a comprehensive review of the adoption of the OMOP CDM for cancer research and offer some insights on opportunities in leveraging the OMOP CDM ecosystem for advancing cancer research. Materials and Methods: Published literature databases were searched to retrieve OMOP CDM and cancer-related English language articles published between January 2010 and December 2023. A charting form was developed for two main themes, i.e., clinically focused data analysis studies and infrastructure development studies in the cancer domain. Results: In total, 50 unique articles were included, with 30 for the data analysis theme and 23 for the infrastructure theme, with 3 articles belonging to both themes. The topics covered by the existing body of research was depicted. Conclusion: Through depicting the status quo of research efforts to improve or leverage the potential of the OMOP CDM ecosystem for advancing cancer research, we identify challenges and opportunities surrounding data analysis and infrastructure including data quality, advanced analytics methodology adoption, in-depth phenotypic data inclusion through NLP, and multisite evaluation.

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In drug development, the use of real-world data (RWD) has augmented our understanding of patients' health care experiences and the effects of treatments beyond clinical trials. Although electronic health record (EHR) data integration at clinical trial sites is a widely adopted practice, primarily for recruitment and data capture, a challenge to data utility is the fragmentation of health data across different sources. Linking RWD sources to each other and to trial data -- while preserving patient privacy through tokenization -- aids in filling evidence gaps with outcome data and facilitates the generalization of effects from controlled trial environments to real-world settings. This paper describes the applications of RWD linkage and how they benefit both clinical development and real-world decision-making. Trial benefits include improving interpretability and generalizability (e.g., by remediating missing data or losses to follow-up), extending follow-up beyond trial closeout, and characterizing the applicability of trial results to under-represented groups. The operational aspects of linking trial data to RWD are addressed, emphasizing the importance of using privacy-preserving record linking systems with established metrics of accuracy and precision, managing consent, and providing the necessary training and resources at trial sites to inform participants about providing access to their RWD through data linkage.

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Objective: Apolipoprotein B (ApoB) and lipoprotein (a) (Lp[a]) are predictors of cardiovascular disease (CVD) risk; therefore, current recommendations for CVD risk assessment and management advocate that patients receive testing for ApoB and Lp(a) in addition to the standard lipid panel. However, US guidelines around ApoB and Lp(a) testing have evolved over time and vary slightly by expert committee. The objective of this analysis was to estimate the number of insured individuals in the USA who received any component of a lipid test, or ApoB and/or Lp(a) testing, during 2019. Methods: We conducted a cross-sectional analysis to estimate the prevalence of any component of a lipid test, ApoB, and/or Lp(a) in the USA using four different claim data sources (including Medicaid, Medicare, and commercially insured enrollees). Prevalence estimates were age-, sex-, payor-, and region-standardized to the 2019 US Annual Social and Economic Supplement of the Current Population Survey. We also described the clinical profile of patients who received lipid testing between 2019 and 2021 (cohort analysis) in Optum claims database. Enrollees were grouped into four non-mutually exclusive cohorts based on their completion of any component of the lipid panel, ApoB, Lp(a), or ApoB and Lp(a). Results: In the prevalence cohort, over a third (38 %) of insured adults in the USA underwent testing for any component of a lipid panel in 2019. This proportion was higher for individuals aged ≥65 years compared to younger adults (62% vs 31 %). The proportion of ApoB and Lp(a) testing represented only <1 % of testing for any component of a lipid panel. In the cohort analysis, we found that lipid testing increased with age and comorbidities. Conclusion: These data should be considered by guideline-issuing agencies and organizations to develop education campaigns encouraging more frequent use of tests beyond the standard lipid panel.

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This paper introduces a novel hybrid optimization algorithm, PDO-DE, which integrates the Prairie Dog Optimization (PDO) algorithm with the Differential Evolution (DE) strategy. This research aims to develop an algorithm that efficiently addresses complex optimization problems in engineering design and network intrusion detection systems. Our method enhances the PDO's search capabilities by incorporating the DE's principal mechanisms of mutation and crossover, facilitating improved solution exploration and exploitation. We evaluate the effectiveness of the PDO-DE algorithm through rigorous testing on 23 classical benchmark functions, five engineering design problems, and a network intrusion detection system (NIDS). The results indicate that PDO-DE outperforms several state-of-the-art optimization algorithms regarding convergence speed and accuracy, demonstrating its robustness and adaptability across different problem domains. The PDO-DE algorithm's potential applications extend to engineering challenges and cybersecurity issues, where efficient and reliable solutions are critical; for example, the NIDS results show significant results in detection rate, false alarm, and accuracy with 98.1%, 2.4%, and 96%, respectively. The innovative integration of PDO and DE contributes significantly to stochastic optimization and swarm intelligence, offering a promising new tool for tackling diverse optimization problems. In conclusion, the PDO-DE algorithm represents a significant scientific advancement in hybrid optimization techniques, providing a more effective approach for solving real-world problems that require high precision and optimal resource utilization.

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BACKGROUND: This study evaluated the real-world impact of acupuncture on analgesics and healthcare resource utilization among breast cancer survivors. METHODS: From a United States (US) commercial claims database (25% random sample of IQVIA PharMetrics® Plus for Academics), we selected 18-63 years old malignant breast cancer survivors experiencing pain and ≥ 1 year removed from cancer diagnosis. Using the difference-in-difference technique, annualized changes in analgesics [prevalence, rates of short-term (< 30-day supply) and long-term (≥ 30-day supply) prescription fills] and healthcare resource utilization (healthcare costs, hospitalizations, and emergency department visits) were compared between acupuncture-treated and non-treated patients. RESULTS: Among 495 (3%) acupuncture-treated patients (median age: 55 years, stage 4: 12%, average 2.5 years post cancer diagnosis), most had commercial health insurance (92%) and experiencing musculoskeletal pain (98%). Twenty-seven percent were receiving antidepressants and 3% completed ≥ 2 long-term prescription fills of opioids. Prevalence of opioid usage reduced from 29 to 19% (P < 0.001) and NSAID usage reduced from 21 to 14% (P = 0.001) post-acupuncture. The relative prevalence of opioid and NSAID use decreased by 20% (P < 0.05) and 19% (P = 0.07), respectively, in the acupuncture-treated group compared to non-treated patients (n = 16,129). However, the reductions were not statistically significant after adjustment for confounding. Patients receiving acupuncture for pain (n = 264, 53%) were found with a relative decrease by 47% and 49% (both P < 0.05) in short-term opioid and NSAID fills compared to those treated for other conditions. High-utilization patients (≥ 10 acupuncture sessions, n = 178, 36%) were observed with a significant reduction in total healthcare costs (P < 0.001) unlike low-utilization patients. CONCLUSIONS: Although adjusted results did not show that patients receiving acupuncture had better outcomes than non-treated patients, exploratory analyses revealed that patients treated specifically for pain used fewer analgesics and those with high acupuncture utilization incurred lower healthcare costs. Further studies are required to examine acupuncture effectiveness in real-world settings.

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Terapia por Acupuntura , Analgésicos , Neoplasias de la Mama , Supervivientes de Cáncer , Humanos , Persona de Mediana Edad , Femenino , Neoplasias de la Mama/terapia , Adulto , Terapia por Acupuntura/economía , Analgésicos/uso terapéutico , Analgésicos/economía , Aceptación de la Atención de Salud/estadística & datos numéricos , Estados Unidos/epidemiología , Adulto Joven , Adolescente , Manejo del Dolor/métodos , Dolor en Cáncer/terapia , Dolor en Cáncer/tratamiento farmacológico

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BACKGROUND: The objectives of this study were to examine the association of psychiatric comorbidities and patient characteristics with treatment change and response as well as to assess the association between treatment change and healthcare resource utilization (HCRU) among adult patients with attention-deficit/hyperactivity disorder (ADHD) and psychiatric comorbidities. METHODS: De-identified electronic health records from the NeuroBlu Database (2002-2021) were used to select patients ≥ 18 years with ADHD who were prescribed ADHD-specific medication. The index date was set as the first prescription of ADHD medication. The outcomes were treatment change (discontinuation, switch, add-on, or drop) and HCRU (inpatient, outpatient, composite) within 12 months of follow-up. Cox proportional-hazard model was used to assess the association between clinical and demographic patient characteristics and treatment change, while generalized linear model with negative binomial distribution and log link function was used to assess the association between key risk factors linked to treatment change and HCRU rates. RESULTS: A total of 3,387 patients with ADHD were included (ADHD only: 1,261; ADHD + major depressive disorder (MDD): 755; ADHD + anxiety disorder: 467; ADHD + mood disorder: 164). Nearly half (44.8%) of the study cohort experienced a treatment change within the 12-month follow-up period. Treatment switch and add-on were more common in patients with ADHD and comorbid MDD and anxiety disorder (switch: 18.9%; add-on: 20.5%) compared to other cohorts (range for switch: 8.5-13.6%; range for add-on: 8.9-12.1%) Survival analysis demonstrated that the probability of treatment change within 12 months from treatment initiation in the study cohort was estimated to be 42.4%. Outpatient visit rates statistically significantly increased from baseline (mean [SD] 1.03 [1.84] visits/month) to 3 months post-index (mean [SD] 1.62 [1.91] visits/month; p < 0.001), followed by a gradual decline up to 12 months post-index. Being prescribed both a stimulant and a non-stimulant at index date was statistically significantly associated with increased risk of treatment change (adjusted hazard ratio: 1.64; 95% CI: 1.13, 2.38; p = 0.01). CONCLUSIONS: This real-world study found that treatment change was common among patients with ADHD and psychiatric comorbidities. These findings support the need for future studies to examine the unmet medical and treatment needs of this complex patient population.

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Trastorno por Déficit de Atención con Hiperactividad , Comorbilidad , Registros Electrónicos de Salud , Humanos , Trastorno por Déficit de Atención con Hiperactividad/epidemiología , Trastorno por Déficit de Atención con Hiperactividad/tratamiento farmacológico , Femenino , Masculino , Adulto , Estados Unidos/epidemiología , Bases de Datos Factuales , Persona de Mediana Edad , Adulto Joven , Aceptación de la Atención de Salud/estadística & datos numéricos , Trastornos Mentales/epidemiología , Estimulantes del Sistema Nervioso Central/uso terapéutico , Modelos de Riesgos Proporcionales

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INTRODUCTION & OBJECTIVES: To evaluate whether cardiovascular risk factors and their management differ in primary prevention between adult males and females with type 1 diabetes (T1D) in two European countries in 2020-2022 and sex inequalities in achievement of standards of care in diabetes. METHODS: We used 2020-2022 data of patients without a cardiovascular history in the Prospective Diabetes Follow-up registry (DPV) centres, in Germany, and the Société Francophone du Diabète- Cohorte Diabète de Type 1 cohort (SFDT1), in France. RESULTS: We included 2,657 participants from the DPV registry and 1,172 from the SFDT1 study. Body mass indexes were similar in females and males with similar proportions of HbA1c < 7% (DPV: 36.6 vs 33.0%, p = 0.06, respectively; SFDT1: 23.4 vs 25.7%, p = 0.41). Females were less overweight compared to men in DPV (55.4 vs 61.0%, p < 0.01) but not in SFDT1 (48.0 vs 44.9%, p = 0.33) and were less prone to smoke (DPV: 19.7 vs 25.8%, p < 0.01; SFDT1: 21.0 vs 26.0%, p = 0.07). Systolic blood pressure was lower in females than males with a higher rate of antihypertensive therapy in case of hypertension in females in DPV (70.5 vs 63.7%, p = 0.02) but not in SFDT1 (73.3 vs 68.6%, p = 0.64). In the case of microalbuminuria, ACEi-ARB were less often prescribed in women than men in DPV (21.4 vs 37.6%, p < 0.01) but not SFDT1 (73.3 vs 67.5.0%, p = 0.43). In females compared to males, HDL-cholesterol levels were higher; triglycerides were lower in both countries. In those with LDL-cholesterol > 3.4 mmol/L (DPV: 19.9 (females) vs 23.9% (males), p = 0.01; SFDT1 17.0 vs 19.2%, p = 0.43), statin therapy was less often prescribed in females than males in DPV (7.9 vs 17.0%, p < 0.01), SFDT1 (18.2 vs 21.0%, p = 0.42). CONCLUSION: In both studies, females in primary prevention have a better cardiovascular risk profile than males. We observed a high rate of therapeutic inertia, which might be higher in females for statin treatment and nephroprotection with ACEi-ARB, especially in Germany. Diabetologists should be aware of sex-specific differences in the management of cardiorenal risk factors to develop more personalized prevention strategies.

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Enfermedades Cardiovasculares , Diabetes Mellitus Tipo 1 , Disparidades en el Estado de Salud , Disparidades en Atención de Salud , Factores de Riesgo de Enfermedad Cardiaca , Prevención Primaria , Sistema de Registros , Humanos , Masculino , Femenino , Diabetes Mellitus Tipo 1/diagnóstico , Diabetes Mellitus Tipo 1/epidemiología , Diabetes Mellitus Tipo 1/tratamiento farmacológico , Diabetes Mellitus Tipo 1/sangre , Diabetes Mellitus Tipo 1/terapia , Francia/epidemiología , Adulto , Enfermedades Cardiovasculares/prevención & control , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/diagnóstico , Alemania/epidemiología , Factores Sexuales , Persona de Mediana Edad , Medición de Riesgo , Resultado del Tratamiento , Factores de Tiempo , Biomarcadores/sangre , Hipoglucemiantes/uso terapéutico , Estudios Prospectivos

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Background: Clinical trials comparing the efficacy of ocrelizumab (OCR) with other disease-modifying therapies (DMTs) other than interferon (IFN) ß-1a in relapsing multiple sclerosis (RMS) are lacking. Objectives: To compare the treatment effect of OCR vs six DMTs' (IFN ß-1a, glatiramer acetate, fingolimod, dimethyl fumarate, teriflunomide, natalizumab) treatment pathways used in clinical practice by combining clinical trial and real-world data. Methods: Patient-level data from OPERA trials and open-label extension phase, and from the German NeuroTransData (NTD) MS registry, were used to build 1:1 propensity score-matched (PSM) cohorts controlling for seven baseline covariates, including brain imaging activity. Efficacy outcomes were time to first relapse and time to 24-week confirmed disability progression over 5.5 years of follow-up. Intention-to-treat analysis using all outcome data irrespective of treatment switch was applied. Results: The analyses included 611 OPERA patients and 7141 NTD patients. We built 12 paired-matched cohorts (six for each outcome, two for each DMT) to compare efficacy of OCR in OPERA with each DMT treatment pathway in NTD. Post-matching, baseline covariates and PS were well balanced (standardized mean difference <.2 for all cohorts). Over 5.5 years, patients treated with OCR showed a statistically significant reduction in the risk of relapse (hazard ratios [HRs] .30 to .54) and disability progression (HRs .51 to .67) compared with all index therapies and their treatment switching pathways in NTD. Treatment switch and/or discontinuation occurred frequently in NTD cohorts. Conclusion: OCR demonstrates superiority in controlling relapses and disability progression in RMS compared with real-world treatment pathways over a 5.5-year period. These analyses suggest that high-efficacy DMTs and high treatment persistence are critical to achieve greatest clinical benefit in RMS. Registration: OPERA I (NCT01247324), OPERA II (NCT01412333).

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Introduction: Atypical hemolytic uremic syndrome (aHUS) is a progressive rare disease that, if untreated, can result in severe organ damage and death. Ravulizumab, a next-generation terminal complement inhibitor, provides immediate, complete, and sustained complement C5 inhibition. Real-world data in patients with aHUS who switched to ravulizumab from eculizumab are lacking. Methods: The Global aHUS Registry is a multicenter study (NCT01522183) collecting data on adult or pediatric patients with an aHUS diagnosis, regardless of treatment. Patient characteristics, genetic data, hematological and renal parameters, clinical events (e.g., dialysis and kidney transplantation), and adverse events (AEs) were extracted from patients who switched to ravulizumab from eculizumab up to July 3, 2023. Results: Overall, 60 patients switched to ravulizumab (adult: n = 43; pediatric: n = 17); 11 patients were excluded from effectiveness and genetic analyses (N = 49; adult: n = 40; pediatric: n = 9) because they received <3 months ravulizumab treatment and/or had >1 month between eculizumab discontinuation and ravulizumab initiation. Pathogenic complement variants were identified in 11 of 49 patients (22%); the most common was a complement factor H variant (n = 5/49 [10%]). During ravulizumab treatment, 20 AEs occurred in 13 patients, with no unexpected AEs and only 3 treatment-related AEs (infusion reaction, headaches, and fatigue). No meningococcal infections or deaths were reported. No new events of dialysis, kidney transplantation, or thrombotic microangiopathy were reported. Renal and hematological parameters remained stable after switching to ravulizumab. Conclusion: This is the first real-world cohort analysis of data from patients treated with ravulizumab and reinforces the real-world safety and effectiveness data of ravulizumab in patients with aHUS who switched from eculizumab.

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INTRODUCTION: Large B-cell lymphomas (LBCL) are the most frequently aggressive B-cell non-Hodgkin lymphomas. Anti-CD19 chimeric antigen receptor (CAR)-T cell therapy has emerged as a new, powerful treatment for relapsed or refractory (R/R) disease. Two CAR-T cell products, tisagenlecleucel (tisa-cel,) and axicabtagene ciloleucel (axi-cel), are reimbursed in Belgium for R/R LBCL beyond second line. OBJECTIVES AND METHODS: We conducted a retrospective cohort study to report the outcome with tisa-cel and axi-cel for R/R LBCL beyond second line in the years 2019-2023 at the University Hospitals Leuven for 79 patients selected for apheresis and CAR-T infusion. RESULTS: Eleven patients (14%) did not proceed to CAR-T cell infusion. For infused patients (n = 68), the best overall response rate (ORR)/complete response (CR) rate was 64%/49% for tisa-cel and 88%/66% for axi-cel (p = 0.04 for ORR). After a median follow-up of 13.8 months, progression-free survival (PFS) and overall survival (OS) at 1 year were 30% and 43% for tisa-cel and 48% and 62% for axi-cel. Cytokine release syndrome (CRS) (all grades/grade ≥3) occurred in 82%/9% after tisa-cel and in 97%/0% after axi-cel. Immune effector cell-associated neurotoxicity syndrome (ICANS) (all grades/grade ≥3) occurred in 24%/18% after tisa-cel and in 54%/40% after axi-cel. The non-relapse mortality in the infusion cohort was 13%. CONCLUSION: Our real-world data show high and durable response rates, with a non-significant trend towards a higher efficacy and higher toxicity for axi-cel compared to tisa-cel. Our results are in line with other real-world registries except for a shorter median OS and more high-grade ICANS.

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BACKGROUND: AURIGA is the largest prospective real-world study to evaluate intravitreal aflibercept (IVT-AFL) treatment of diabetic macular edema (DME) and macular edema secondary to retinal vein occlusion. This article presents 24-month data from the German cohort of treatment-naïve patients with DME. METHODS: Treatment-naïve patients (≥ 18 years) with DME were treated with IVT-AFL at the discretion of the physician in clinical practice. The primary endpoint was mean change in visual acuity (early treatment diabetic retinopathy, ETDRS, letters) at month 12 compared to baseline. Statistical analyses were descriptive. RESULTS: The analysis included data from 150 DME patients (54.7% male). At months 6, 12 and 24, mean (95% confidence interval) visual acuity gains of 4.6 (2.6; 6.5), 4.0 (2.1; 6.5) and 5.0 (3.0; 6.9) letters from baseline (mean ±SD: 65.0 ± 15.3 letters) and reductions in retinal thickness of 86µm (109; 64µm), 70µm (94; 43µm) and 75µm (103; 47µm) from baseline (mean ±SD: 391 ± 132 µm), respectively, were achieved. At month 24, 54% of patients gained ≥ 5 letters and 22% ≥ 15 letters. Patients received a mean number of 5.0 ± 1.6 injections until month 6, 7.1 ± 3.2 until month 12 and 9.0 ± 5.3 until month 24, 68% of patients received ≥ 5 injections until month 6 and 56% ≥ 7 injections within the first year. The safety profile was consistent with previous studies. DISCUSSION: In the German AURIGA cohort, treatment-naïve DME patients achieved a clinically relevant gain in visual acuity as well as reduction in central retinal thickness following IVT-AFL treatment in clinical practice. From month 6 onwards, improvements were maintained despite a low injection frequency over 24 months. In comparison with previous real-world studies, care of DME patients in clinical practice seems to have improved; however, there is still room for further improvement.

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INTRODUCTION: The 1-year PROspective sarilumab (preFILled syringe/pen) multinational, obsErvational (PROFILE) study evaluated the real-world effectiveness and safety of sarilumab in patients with moderate-to-severe rheumatoid arthritis (RA). METHODS: Safety endpoints included adverse events (AEs) and lab abnormalities. Effectiveness endpoints included the ACR core set. The primary endpoint was the change from baseline in Clinical Disease Activity Index (CDAI). All statistics are descriptive and p values were nominal. RESULTS: In total, 595 patients were treated, of whom 223 (37.5%) received sarilumab monotherapy and 372 (62.5%) received combination therapy. Upon initiation of sarilumab, an improvement in the mean (SD) CDAI score was observed at week 24 [11.4 (10.3)] and was maintained through week 52 [10.0 (10.5)], resulting in a mean [SD] reduction of -14.9 (12.7) and -14.4 (12.9), respectively. There were consistent improvements in disease activity that were similar for patients on monotherapy vs. combination therapy. An increase in the proportion of patients achieving remission and low disease activity was reported. By week 52, both groups had improved physical function and quality of life. There were no new safety signals. The proportions of any patients reporting a treatment-emergent adverse event (TEAE) or serious treatment-emergent AE (SAE) was 66.2% and 5.9%, respectively, and were similar between both treatment groups. Overall, 15.6% of patients discontinued sarilumab treatment due to TEAEs. The most commonly reported TEAE of interest was neutropenia (14.1%). CONCLUSIONS: In this 1-year, observational real-world study, sarilumab therapy resulted in improved clinical outcomes. The safety profile was consistent with that observed in sarilumab randomized clinical trials. This study was entered on the German website (Paul Ehrlich Institute) on January 11, 2018, with NIS No.: 423.