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1.
Prenat Diagn ; 2024 Aug 13.
Artículo en Inglés | MEDLINE | ID: mdl-39138024

RESUMEN

OBJECTIVE: To assess the frequency of fetal therapy for fetuses with congenital pulmonary malformations (CPMs) and to investigate their short-term outcomes. METHOD: The study population included 435 singleton fetuses diagnosed with CPMs from a national population-based cohort study in France in 2015-2018. Information was obtained from medical records on CPM volume ratio (CVR), signs of compression, fetal therapy and perinatal outcomes. The characteristics and outcomes of fetuses with and without fetal therapy were compared using a univariate test. RESULTS: Twenty six fetuses (6.0%, 95% CI: 4.1-8.6) received at least one fetal therapy including thoracoamniotic shunts only (n = 3), antenatal steroids only (n = 12), and a combination of several therapies including thoracentesis and amniodrainage, in addition to shunts and steroids (n = 11). Compared with fetuses without fetal therapy, those who did have higher CVR (1.6 ± 0.3 vs. 0.7 ± 0.04, p < 0.001) and more severe signs of compression (73.1% vs. 12.8%, p < 0.001). The proportion of live births after fetal therapy was 84.6% versus 98.5% (p < 0.001) for those without fetal therapy and the hospital mortality rate was 13.6% versus 1.0% (p = 0.004), respectively. CONCLUSION: A small minority of fetuses with CPMs underwent fetal therapy. These patients had a lower survival compared with those who did not receive fetal therapy. TRIAL REGISTRATION: NCT02352207.

2.
Future Oncol ; : 1-14, 2024 Jun 12.
Artículo en Inglés | MEDLINE | ID: mdl-38864611

RESUMEN

Aim: To describe patient and treatment characteristics associated with bevacizumab BS-Pfizer, rituximab BS-Pfizer and trastuzumab BS-Pfizer and their reference products in Japan. Methods: This retrospective observational study used an administrative claims database to identify patients with ≥1 biosimilar or reference product prescription from 2019 to 2022 for approved indications. Descriptive statistics were calculated. Results: Overall, 14-39% of biosimilar-prescribed patients initiated therapy with reference products. Biosimilar utilization significantly increased from 2019 to 2022. The most-commonly prescribed concomitant class of therapy with biosimilars was antineoplastic therapy. Conclusion: Reference products were most frequently prescribed among the Japanese cohorts, but substantial and increasing proportions received biosimilars over time. Future studies should extend our initial insights to assess biosimilar clinical outcomes in Japanese settings.


This study examines the adoption of cancer biosimilar therapies in Japan from 2019 to 2022. Cancer biosimilars are complex treatments that closely resemble established cancer therapies already available in Japan. We looked into the characteristics of patients receiving three specific biosimilars ­ bevacizumab BS-Pfizer, rituximab BS-Pfizer and trastuzumab BS-Pfizer. We also investigated where patients received biosimilar treatment, other therapies they received alongside biosimilars and the proportion of patients using these therapies each year during the study. Our analysis utilized data from the 'Medical Data Vision' database, which records care provided in hospitals across Japan. We analyzed patient demographics and treatment patterns, and compared different groups using statistics to identify significant differences. Notably, we observed that between 14 and 39% of patients initially started treatment with the original version of the drug on the market, known as the 'reference product,' before switching to the biosimilar. Furthermore, our findings revealed a significant increase in the use of biosimilars each year during the study period. Biosimilars were most-commonly used alongside chemotherapy drugs. These initial findings shed light on the patient population using cancer biosimilars in Japan and the treatment contexts in which they are utilized. Future research should delve deeper into aspects such as cost of care, patient survival, side effects and other pertinent factors related to the use of biosimilars in cancer care in Japan.

3.
J Clin Med ; 13(6)2024 Mar 12.
Artículo en Inglés | MEDLINE | ID: mdl-38541848

RESUMEN

Backgroud: Congenital heart defects (CHDs) are the most frequent group of major congenital anomalies, accounting for almost 1% of all births. They comprise a very heterogeneous group of birth defects in terms of their severity, clinical management, epidemiology, and embryologic origins. Taking this heterogeneity into account is an important imperative to provide reliable prognostic information to patients and their caregivers, as well as to compare results between centers or to assess alternative diagnostic and treatment strategies. The Anatomic and Clinical Classification of CHD (ACC-CHD) aims to facilitate both the CHD coding process and data analysis in clinical and epidemiological studies. The objectives of the study were to (1) Describe the long-term childhood survival of newborns with CHD, and (2) Develop and validate predictive models of infant mortality based on the ACC-CHD. Methods: This study wasbased on data from a population-based, prospective cohort study: Epidemiological Study of Children with Congenital Heart Defects (EPICARD). The final study population comprised 1881 newborns with CHDs after excluding cases that were associated with chromosomal and other anomalies. Statistical analysis included non-parametric survival analysis and flexible parametric survival models. The predictive performance of models was assessed by Harrell's C index and the Royston-Sauerbrei RD2, with internal validation by bootstrap. Results: The overall 8-year survival rate for newborns with isolated CHDs was 0.96 [0.93-0.95]. There was a substantial difference between the survival rate of the categories of ACC-CHD. The highest and lowest 8-year survival rates were 0.995 [0.989-0.997] and 0.34 [0.21-0.50] for "interatrial communication abnormalities and ventricular septal defects" and "functionally univentricular heart", respectively. Model discrimination, as measured by Harrell's C, was 87% and 89% for the model with ACC-CHD alone and the full model, which included other known predictors of infant mortality, respectively. The predictive performance, as measured by RD2, was 45% and 50% for the ACC-CHD alone and the full model. These measures were essentially the same after internal validation by bootstrap. Conclusions: The ACC-CHD classification provided the basis of a highly discriminant survival model with good predictive ability for the 8-year survival of newborns with CHDs. Prediction of individual outcomes remains an important clinical and statistical challenge.

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