Unlabelled: Several virus-neutralizing monoclonal antibodies (mAbs) have become new tools in the treatment of the coronavirus disease (COVID-19), but their effectiveness against the rapidly mutating virus is questionable. The present study investigated the effectiveness of Tixagevimab/Cilgavimab and Regdanvimab for mild and moderate COVID-19 treatment in real-world clinical practice during the Omicron variant-dominant period. Patients with known risk factors for disease progression and increasing disease severity were enrolled in the study within the first 7 days of symptom onset. Seventy-seven patients were divided into four groups: first 15 patients received 300 mg Tixagevimab/Cilgavimab intravenously (IV) and 23 patients got the same drug 300 mg intramuscularly (IM), the next 15 patients was on the same combination in dose of 600 mg IV, and 24 patients were on Regdanvimab at a dose of 40 mg/kg IV. By Day 4, 100% of Tixagevimab/Cilgavimab IV patients showed negative polymerase chain reaction results for SARS-CoV-2 Ribonucleic acid (RNA) regardless of the mAbs dose while in the Regdanvimab group 29% of the patients were positive for SARS-CoV-2 virus RNA. The testing for virus neutralizing antibodies (nAbs) to various Omicron sublineages (BA.1, BA.2, and BA.5) showed that an increase in nAb levels was detected in blood serum immediately after the drug administration only in Tixagevimab/Cilgavimab 300 mg and 600 mg IV groups. In the group of intravenous Regdanvimab, a significant increase in the level of nAbs to the Wuhan variant was detected immediately after the drug administration, while no increase in nAbs to different Omicron sublineages was observed.
Clinical Trial Registration: https://clinicaltrials.gov/, identifier NCT05982704.
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http://dx.doi.org/10.3389/fimmu.2023.1259725 | DOI Listing |
BMC Cancer
January 2025
Department of Medical Oncology, Cancer Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
Background: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, with limited treatment options yielding poor outcomes. This study aimed to evaluate the real-world clinical characteristics, treatment patterns, and outcomes of patients with locally advanced unresectable and de-novo metastatic PDAC in Saudi Arabia, providing regional data to compare with international benchmarks.
Methods: This is a retrospective, multicentre study involving 350 patients diagnosed with unresectable locally advanced or de-novo metastatic PDAC between January 2015 and November 2023.
BMC Cancer
January 2025
Department of Medical Oncology, National Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.17 PanjiayuanNanli, Chaoyang District, Beijing, 100021, China.
Anti-angiogenesis offers an important treatment strategy for metastatic breast cancer (MBC). Metronomic chemotherapy (MCT) provides antiangiogenic effects without increased toxicities, making it good partner for antiangiogenic therapy. We conducted the present retrospective study to evaluate the efficacy and safety of anlotinib plus MCT for HER2 negative MBC.
View Article and Find Full Text PDFSci Rep
January 2025
Lyra Health, 270 East Ln, Burlingame, CA, 94010, USA.
Blended care therapy (BCT), which augments live, video-based psychotherapy sessions with asynchronous digital tools, has the potential to increase access to evidence-based treatments for posttraumatic stress disorder (PTSD). However, its effectiveness in diverse, real-world settings is not well-understood. This evaluation aimed to assess clinical outcomes of a BCT program for PTSD symptoms.
View Article and Find Full Text PDFJ Nucl Med
January 2025
Department of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan;
Prostate-specific membrane antigen (PSMA) PET was approved by the U.S. Food and Drug Administration in 2020 for the staging of newly diagnosed prostate cancer, yet rates of adoption and real-world positivity rates are unknown.
View Article and Find Full Text PDFJ Med Internet Res
December 2024
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé - LIMICS, Inserm, Université Sorbonne Paris-Nord, Sorbonne Université, Paris, France.
Background: Artificial intelligence (AI) applied to real-world data (RWD; eg, electronic health care records) has been identified as a potentially promising technical paradigm for the pharmacovigilance field. There are several instances of AI approaches applied to RWD; however, most studies focus on unstructured RWD (conducting natural language processing on various data sources, eg, clinical notes, social media, and blogs). Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology.
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