39 research outputs found

    Relative effectiveness and safety of pharmacotherapeutic agents for patent ductus arteriosus (PDA) in preterm infants: A protocol for a multicentre comparative effectiveness study (CANRxPDA)

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    Introduction Patent ductus arteriosus (PDA) is the most common cardiovascular problem that develops in preterm infants and evidence regarding the best treatment approach is lacking. Currently available medical options to treat a PDA include indomethacin, ibuprofen or acetaminophen. Wide variation exists in PDA treatment practices across Canada. In view of this large practice variation across Canadian neonatal intensive care units (NICUs), we plan to conduct a comparative effectiveness study of the different pharmacotherapeutic agents used to treat the PDA in preterm infants. Methods and analysis A multicentre prospective observational comparative-effectiveness research study of extremely preterm infants born 29 weeks gestational age with an echocardiography confirmed PDA will be conducted. All participating sites will self-select and adhere to one of the following primary pharmacotherapy protocols for all preterm babies who are deemed to require treatment. Standard dose ibuprofen (10 mg/kg followed by two doses of 5 mg/kg at 24 hours intervals) irrespective of postnatal age (oral/intravenous). Adjustable dose ibuprofen (oral/intravenous) (10 mg/kg followed by two doses of 5 mg/kg at 24 hours intervals if treated within the first 7 days after birth. Higher doses of ibuprofen up to 20 mg/kg followed by two doses of 10 mg/kg at 24 hours intervals if treated after the postnatal age cut-off for lower dose as per the local centre policy). Acetaminophen (oral/intravenous) (15 mg/kg every 6 hours) for 3-7 days. Intravenous indomethacin (0.1-0.3 mg/kg intravenous every 12-24 hours for a total of three doses). Outcomes The primary outcome is failure of primary pharmacotherapy (defined as need for further medical and/or surgical/interventional treatment following an initial course of pharmacotherapy). The secondary outcomes include components of the primary outcome as well as clinical outcomes related to response to treatment or adverse effects of treatment. Sites and sample size The study will be conducted in 22 NICUs across Canada with an anticipated enrollment of 1350 extremely preterm infants over 3 years. Analysis To examine the relative effectiveness of the four treatment strategies, the primary outcome will be compared pairwise between the treatment groups using χ 2 test. Secondary outcomes will be compared pairwise between the treatment groups using χ 2 test, Student\u27s t-test or Wilcoxon rank sum test as appropriate. To further examine differences in the primary and secondary outcomes between the four groups, multiple logistic or linear regression models will be applied for each outcome on the treatment groups, adjusted for potential confounders using generalised estimating equations to account for within-unit-clustering. As a sensitivity analysis, the difference in the primary and secondary outcomes between the treatment groups will also be examined using propensity score method with inverse probability weighting approach. Ethics and dissemination The study has been approved by the IWK Research Ethics Board (#1025627) as well as the respective institutional review boards of the participating centres. © 2021 Author(s). Published by BMJ

    Behavioral Perceptions of Oakland University Female College Students towards Human Papillomavirus Vaccination.

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    Human Papillomavirus (HPV) vaccination decreases the risk for cervical cancer. However, the uptake of HPV vaccine remains low when compared with other recommended vaccines. This study evaluates the knowledge and attitudes towards HPV infection and vaccination, and the readiness for the uptake of HPV vaccine amongst female students attending Oakland University (OU) in Michigan, United States. This is a cross-sectional study targeting a randomized sample of a 1000 female OU students using an online questionnaire. The data were statistically analyzed using SPSS software. A total of 192 female students, with the mean age of 24 years completed the survey. The majority of participants had previous sexual experience with occasional use of contraceptives (78.1%), were non-smokers (92.7%), and non-alcohol drinkers (54.2%). The participants had a mean knowledge score of 53.0% with a standard error of 2.3% translating to a moderately informed population. The majority agreed that HPV is life threatening (79%), the vaccine prevents cervical cancer (62%), and that side effects would not deter them from vaccination (63%). Although two thirds (67%) believed that, based on sexual practices in the United States, female college students in Michigan have a higher chance of contracting HPV, about 50% did not believe they themselves were at risk. Higher knowledge correlated with increased recommendation for the vaccine (correlation-factor 0.20, p = 0.005). Results suggested that the best predictor for improvement of vaccination was the awareness level and health education. This indicates a need for an educational intervention to raise awareness, increase HPV vaccine uptake, and decrease the incidence of cervical cancer

    Characteristics of the study’s female participants.

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    <p>Characteristics of the study’s female participants.</p

    Participants’ attitudes towards HPV vaccination statements.

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    <p>Participants’ attitudes towards HPV vaccination statements.</p

    Multivariable analysis for predicting knowledge and attitude scores.

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    <p>Multivariable analysis for predicting knowledge and attitude scores.</p

    Automated domain adaptation for bearings fault detection and classification

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    International audienceEffective fault classification of mechanical components based on vibration signals requires robust domainadaptation methods, particularly in scenarios where complete data on all fault types is unavailable. Thechallenge lies in monitoring the health of components with variable characteristics, such as speed, load, andtorque, where the lack of information on their current state renders target domain labels unavailable.Maximum Mean Discrepancy (MMD) is a widely used loss function in domain adaptation; however, itspopular Gaussian kernel necessitates prior knowledge of the target domain data, posing a limitation indomain adaptation problems. To address this challenge, this paper proposes a novel approach that aims toachieve two key goals: (1) accurate fault identification and (2) automatic tuning of the MMD Gaussiankernel to adapt to different domains. The proposed approach consists of two stages. Firstly, a staticrepresentation of the standard deviation is identified using the Pascal Triangle that allows the reconstructionof a Gaussian kernel accurately. In the second stage, a dynamic parameter is computed by considering thedifference between the source and target features distribution, extracted from the desired layers of theconsidered model. The proposed approach is evaluated by the classification of bearings health state, usingthe Case Western Reserve University (CWRU) signals as the source dataset and Jiangnan University (JNU)signals as the target one. The model employed in this evaluation is a 2D Convolutional Neural Network(CNN) model designed to process 2D reshaped signals. The desired layers for adaptation were identified asthe fully connected layers of the network. The results demonstrate that the proposed method outperformstraditional MMD with a manually tuned Gaussian kernel, as well as other domain adaptation methods suchas Correlation Alignment (CORAL) and Wasserstein distance that do not require any parameter tuning,making it a valuable contribution to the field of intelligent fault classification based on vibration signals

    HPV/E7 induces chemotherapy‐mediated tumor suppression by ceramide‐dependent mitophagy

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    Abstract Human papillomavirus (HPV) infection is linked to improved survival in response to chemo‐radiotherapy for patients with oropharynx head and neck squamous cell carcinoma (HNSCC). However, mechanisms involved in increased HNSCC cell death by HPV signaling in response to therapy are largely unknown. Here, using molecular, pharmacologic and genetic tools, we show that HPV early protein 7 (E7) enhances ceramide‐mediated lethal mitophagy in response to chemotherapy‐induced cellular stress in HPV‐positive HNSCC cells by selectively targeting retinoblastoma protein (RB). Inhibition of RB by HPV‐E7 relieves E2F5, which then associates with DRP1, providing a scaffolding platform for Drp1 activation and mitochondrial translocation, leading to mitochondrial fission and increased lethal mitophagy. Ectopic expression of a constitutively active mutant RB, which is not inhibited by HPV‐E7, attenuated ceramide‐dependent mitophagy and cell death in HPV(+) HNSCC cells. Moreover, mutation of E2F5 to prevent Drp1 activation inhibited mitophagy in HPV(+) cells. Activation of Drp1 with E2F5‐mimetic peptide for inducing Drp1 mitochondrial localization enhanced ceramide‐mediated mitophagy and led to tumor suppression in HPV‐negative HNSCC‐derived xenograft tumors in response to cisplatin in SCID mice
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