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Søgeord (remdesivir) valgt.
5 emner vises.
Journal of Infectious Diseases, 25.04.2024
Tilføjet 25.04.2024
Abstract Background Although antivirals remain important for the treatment COVID-19, methods to assess treatment efficacy are lacking. Here, we investigated the impact of remdesivir on viral dynamics and their contribution to understanding antiviral efficacy in the multicenter ACTT-1 clinical trial that randomized patients to remdesivir or placebo.Methods Longitudinal specimens collected during hospitalization from a substudy of 642 COVID-19 patients were measured for viral RNA (upper respiratory tract and plasma), viral nucleocapsid antigen (serum), and host immunologic markers. Associations with clinical outcomes and response to therapy were assessed.Results Higher baseline plasma viral loads were associated with poorer clinical outcomes, and decreases in viral RNA and antigen in blood but not the upper respiratory tract correlated with enhanced benefit from remdesivir. The treatment effect of remdesivir was most pronounced in patients with elevated baseline nucleocapsid antigen levels: the recovery rate ratio was 1.95 (95%CI 1.40-2.71) for levels >245 pg/ml vs 1.04 (95%CI 0.76-1.42) for levels
Læs mere Tjek på PubMedBMC Infectious Diseases, 19.04.2024
Tilføjet 19.04.2024
Abstract Background and purpose The COVID-19 pandemic has presented unprecedented public health challenges worldwide. Understanding the factors contributing to COVID-19 mortality is critical for effective management and intervention strategies. This study aims to unlock the predictive power of data collected from personal, clinical, preclinical, and laboratory variables through machine learning (ML) analyses. Methods A retrospective study was conducted in 2022 in a large hospital in Abadan, Iran. Data were collected and categorized into demographic, clinical, comorbid, treatment, initial vital signs, symptoms, and laboratory test groups. The collected data were subjected to ML analysis to identify predictive factors associated with COVID-19 mortality. Five algorithms were used to analyze the data set and derive the latent predictive power of the variables by the shapely additive explanation values. Results Results highlight key factors associated with COVID-19 mortality, including age, comorbidities (hypertension, diabetes), specific treatments (antibiotics, remdesivir, favipiravir, vitamin zinc), and clinical indicators (heart rate, respiratory rate, temperature). Notably, specific symptoms (productive cough, dyspnea, delirium) and laboratory values (D-dimer, ESR) also play a critical role in predicting outcomes. This study highlights the importance of feature selection and the impact of data quantity and quality on model performance. Conclusion This study highlights the potential of ML analysis to improve the accuracy of COVID-19 mortality prediction and emphasizes the need for a comprehensive approach that considers multiple feature categories. It highlights the critical role of data quality and quantity in improving model performance and contributes to our understanding of the multifaceted factors that influence COVID-19 outcomes.
Læs mere Tjek på PubMedKuo‐Chuan Hung, Wei‐Ting Wang, I‐Yin Hung, I‐Wen Chen
Journal of Medical Virology, 3.04.2024
Tilføjet 3.04.2024
Clinical Infectious Diseases, 2.04.2024
Tilføjet 2.04.2024
Abstract Background We aimed to evaluate the cardiac adverse events (AEs) in hospitalized patients with Coronavirus Disease 2019 (COVID-19) receiving remdesivir plus standard of care (SoC) compared to SoC alone (control), as an association was noted in some cohort studies and disproportionality analyses of safety databases.Methods This post-hoc safety analysis is based on data from the multicenter, randomized, open-label, controlled DisCoVeRy trial in hospitalized patients with COVID-19 (NCT04315948). Any first AE occurring between randomization and day 29 in the modified intention-to-treat (mITT) population randomized to either remdesivir or control group was considered. Analysis was performed using Kaplan-Meier survival curves and Kaplan-Meier estimates were calculated for event rates.Results Cardiac AEs were reported in 46 (11.2%) of 410 and 48 (11.3%) of 423 patients in the mITT population (n = 833) enrolled in the remdesivir and control groups, respectively. The difference between both groups was not significant (HR 1.0, 95% CI 0.7-1.5, p = 0.98), even when evaluating serious and non-serious cardiac AEs separately. The majority of reports in both groups were of arrhythmic nature (remdesivir, 84.8%; control, 83.3%) and were associated with a favorable outcome. There was no significant difference between remdesivir and control groups in the occurrence of different cardiac AE subclasses, including arrhythmic events (HR 1.1, 95% CI: 0.7-1.7, p = 0.68).Conclusions Remdesivir treatment was not associated with an increased risk of cardiac AEs, whether serious or not, and regardless of AE severity, compared to control, in patients hospitalized with moderate or severe COVID-19. This is consistent with the results of other randomized controlled trials and meta-analyses.
Læs mere Tjek på PubMedWen-Fang TangYu-Hsiu ChangCheng-Chin LinJia-Rong JhengChung-Fan HsiehYuan-Fan ChinTein-Yao ChangJin-Ching LeePo-Huang LiangChia-Yi LinGuan-Hua LinJie-Yun CaiYu-Li ChenYuan-Siao ChenShan-Ko TsaiPing-Cheng LiuChuen-Mi YangTolou ShadbahrJing TangYu-Lin HsuChih-Heng HuangLing-Yu WangCheng Cheung ChenJyh-Hwa KauYi-Jen HungHsin-Yi LeeWen-Chieh WangHui-Ping TsaiJim-Tong Horng1Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Kweishan, Taoyuan, Taiwan2Institute of Preventive Medicine, National Defense Medical Center, New Taipei, Taiwan3Department of Microbiology and Immunology, National Defense Medical Center, Taipei, Taiwan4Institute of Biochemical Sciences, National Taiwan University, Taipei, Taiwan5Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Kweishan, Taoyuan, Taiwan6Department of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan7Department of Pathology and Graduate Institute of Pathology and Parasitology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan8Department of Marine Biotechnology and Resources, National Sun Yat-sen University, Kaohsiung, Taiwan9Department of Biotechnology, Kaohsiung Medical University, Kaohsiung, Taiwan10Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan11Research Center for Industry of Human Ecology and Research Center for Chinese Herbal Medicine, Graduate Institute of Health Industry Technology, Chang Gung University of Science and Technology, Taoyuan, Taiwan12Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland13Graduate Institute of Medical Science, National Defense Medical Center, Taipei, Taiwan14Division of Medical Oncology, Chang Gung Memorial Hospital, Taoyuan, Taiwan15Institute of Biotechnology and Pharmaceutical Research, Value-Added MedChem Innovation Center, National Health Research Institutes, Zhunan, Miaoli, Taiwan16Molecular Infectious Disease Research Center, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan, Miguel Angel Martinez
Antimicrobial Agents And Chemotherapy, 6.03.2024
Tilføjet 6.03.2024