264 research outputs found

    Contact line motion for partially wetting fluids

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    We study the flow close to an advancing contact line in the limit of small capillary number. To take into account wetting effects, both long and short-ranged contributions to the disjoining pressure are taken into account. In front of the contact line, there is a microscopic film corresponding to a minimum of the interaction potential. We compute the parameters of the contact line solution relevant to the matching to a macroscopic problem, for example a spreading droplet. The result closely resembles previous results obtained with a slip model

    ScheldeKrant 8

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    ScheldeKrant 7

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    ScheldeKrant 6

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    A Comprehensive Overview of Medical Error in Hospitals Using Incident-Reporting Systems, Patient Complaints and Chart Review of Inpatient Deaths

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    <div><h3>Background</h3><p>Incident reporting systems (IRS) are used to identify medical errors in order to learn from mistakes and improve patient safety in hospitals. However, IRS contain only a small fraction of occurring incidents. A more comprehensive overview of medical error in hospitals may be obtained by combining information from multiple sources. The WHO has developed the International Classification for Patient Safety (ICPS) in order to enable comparison of incident reports from different sources and institutions.</p> <h3>Methods</h3><p>The aim of this paper was to provide a more comprehensive overview of medical error in hospitals using a combination of different information sources. Incident reports collected from IRS, patient complaints and retrospective chart review in an academic acute care hospital were classified using the ICPS. The main outcome measures were distribution of incidents over the thirteen categories of the ICPS classifier “Incident type”, described as odds ratios (OR) and proportional similarity indices (PSI).</p> <h3>Results</h3><p>A total of 1012 incidents resulted in 1282 classified items. Large differences between data from IRS and patient complaints (PSI = 0.32) and from IRS and retrospective chart review (PSI = 0.31) were mainly attributable to behaviour (OR = 6.08), clinical administration (OR = 5.14), clinical process (OR = 6.73) and resources (OR = 2.06).</p> <h3>Conclusions</h3><p>IRS do not capture all incidents in hospitals and should be combined with complementary information about diagnostic error and delayed treatment from patient complaints and retrospective chart review. Since incidents that are not recorded in IRS do not lead to remedial and preventive action in response to IRS reports, healthcare centres that have access to different incident detection methods should harness information from all sources to improve patient safety.</p> </div

    Maternal first trimester COVID-19 vaccination and risk of major non-genetic congenital anomalies

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    Background: Information regarding the risk of early pregnancy COVID-19 vaccination on the development of major congenital anomalies in the offspring is still limited. Here, we study the association between any COVID-19 vaccination during the 1st trimester and at least one major non-genetic congenital anomaly in the offspring.Methods: We used data from the Dutch Pregnancy Drug Register, an ongoing cohort study. We selected participants with a pregnancy that ended after at least 20 weeks gestation. Pregnant participants self-reported their COVID-19 vaccination status and the presence of congenital anomalies in the offspring. We used logistic regression analyses to study the association between 1st trimester COVID-19 vaccination (gestational week 2 + 0 to 12 + 6) and the risk of at least one major non-genetic congenital anomaly in the offspring. Clustering of anomalies on the ICD10 level by 1st trimester COVID-19 vaccination status was explored using Fisher exact tests.Results: We included 3721 participants of whom 795 (21.4%) were COVID-19 vaccinated during the 1st trimester. The percentage of participants who gave birth to a child with at least one major non-genetic congenital anomaly was comparable between participants who were 1st trimester vaccinated (1.1%) and participants who were not (1.2%) (adjusted odd ratio 0.78 [95% confidence interval 0.35–1.71]). We found no clustering of major non-genetic congenital anomalies by 1st trimester COVID-19 vaccination status (p &gt;.05).Conclusions: There were no indications of an increased risk of major non-genetic congenital anomalies in the offspring after maternal 1st trimester COVID-19 vaccination. Our findings suggest COVID-19 vaccines are safe during early pregnancy.</p
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