13 research outputs found

    Which factors predict candidate outcome in advanced life support courses? A preliminary observational study

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    PURPOSE: To identify factors associated with candidate outcome in the European Resuscitation Council (ERC) advanced life support (ALS) provider courses. METHODS: Medical doctors participating as candidates to consecutive ALS courses organised by an ERC training centre in Italy were enrolled in this prospective cohort study. The association between the ALS course outcome and candidate demographics, professional background and pre-course knowledge measured by using the pre-course multiple choice quiz (MCQ) was investigated by using logistic regression. RESULTS: A total of 283 candidates, median age 31 years, were evaluated. Among them, 269 (95.1%) passed the final evaluation and 14 (4.9%) failed. Candidates who passed were younger (median age 31 vs. 37.5 years; p = 0.006) and attained a higher pre-course MCQ score (median 84 vs. 72.5%; p < 0.0001). On multivariate analysis, a higher pre-course MCQ score (OR 1.18 [95%CI 1.09-1.28]) and a basic life support (BLS) certification (OR 5.00 [95%CI 1.12-22.42]) were independent predictors of candidate success, while older age was associated with a significantly higher risk of failing (OR 0.90 [95%CI 0.83-0.97]). Female candidates had higher pass rates (97.2 vs. 91.2%; p = 0.048); however, after correction for confounders gender was not significantly associated with candidate outcome. Neither candidate specialty nor site of work was a predictor of candidate success. CONCLUSIONS: On ALS courses, younger age and a higher level of specific pre-course knowledge, as measured by both the pre-course MCQ and the presence of BLS certification, are the most important predictors of success. Candidate gender and professional background did not show a significant correlation with course outcom

    Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

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    A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

    Metabolic syndrome is associated with left ventricular dilatation in primary hypertension

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    Metabolic syndrome (MS) has been shown to predict cardiovascular events in hypertension. Recently, a new four-group left ventricular (LV) hypertrophy classification based on both LV dilatation and concentricity was proposed. This classification has been shown to provide a more accurate prediction of cardiovascular events, suggesting that the presence of LV dilatation may add prognostic information. We investigated the relationship between MS and the new classification of LV geometry in patients with primary hypertension. A total of 372 untreated hypertensive patients were studied. Four different patterns of LV hypertrophy (eccentric nondilated, eccentric dilated, concentric nondilated and concentric dilated hypertrophy) were identified by echocardiography. A modified National Cholesterol Education Program definition for MS was used, with body mass index replacing waist circumference. The overall prevalence of MS and LV hypertrophy (LVH) was 29% and 61%, respectively. Patients with MS showed a higher prevalence of LVH (P=0.0281) and dilated LV geometries, namely eccentric dilated and concentric dilated hypertrophy (P=0.0075). Moreover, patients with MS showed higher LV end-diastolic volume (P=0.0005) and prevalence of increased LV end-diastolic volume (P=0.0068). The prevalence of LV chamber dilatation increased progressively with the number of components of MS (P=0.0191). Logistic regression analysis showed that the presence of MS entails a three times higher risk of having LV chamber dilatation even after adjusting for several potential confounding factors. MS is associated with LV dilatation in hypertension. These findings may, in part, explain the unfavourable prognosis observed in patients with MS

    Performance of the Hypotension Prediction Index With Noninvasive Arterial Pressure Waveforms in Awake Cesarean Delivery Patients Under Spinal Anesthesia

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    Background: Arterial hypotension is common after spinal anesthesia (SA) for cesarean delivery (CD), and to date, there is no definitive method to predict it. The hypotension prediction index (HPI) is an algorithm that uses the arterial waveform to predict early phases of intraoperative hypotension. The aims of this study were to assess the diagnostic ability of HPI working with arterial waveforms detected by ClearSight system in predicting impending hypotension in awake patients, and the agreement of pressure values recorded by ClearSight with conventional noninvasive blood pressure (NIBP) monitoring in patients undergoing CD under SA. Methods: In this retrospective analysis of pregnant patients scheduled for elective CD under SA, continuous hemodynamic data measured with the ClearSight monitor until delivery were downloaded from an Edwards Lifesciences HemoSphere platform and analyzed. Receiver operating characteristic (ROC) curves were constructed to evaluate the performance of HPI algorithm working on the ClearSight pressure waveform in predicting hypotensive events, defined as mean arterial pressure (MAP) &lt;65 mm Hg for &gt;1 minute. The sensitivity, specificity, positive predictive value, and negative predictive value were computed at the optimal cutpoint, selected as the value that minimizes the difference between sensitivity and specificity. ClearSight MAP values were compared to NIBP MAP values by linear regression and Bland-Altman analysis corrected for repeated measurements. Results: Fifty patients undergoing CD were included in the analysis. Hypotension occurred in 23 patients (48%). Among patients experiencing hypotension, the HPI disclosed 71 alerts. The HPI predicted hypotensive events with a sensitivity of 83% (95% confidence interval [CI], 69-97) and specificity of 83% (95% CI, 70-95) at 3 minutes before the event (area under the curve [AUC] 0.913 [95% CI, 0.837-0.99]); with a sensitivity of 97% (95% CI, 92-100) and specificity of 97% (95% CI, 92-100) at 2 minutes before the event (AUC 0.995 [95% CI, 0.979-1.0]); and with a sensitivity of 100% (95% CI, 100-100) and specificity 100% (95% CI, 100-100) 1 minute before the event (AUC 1.0 [95% CI, 1.0-1.0]). A total of 2280 paired NIBP MAP and ClearSight MAP values were assessed. The mean of the differences between the ClearSight and NIBP assessed using Bland-Altman analysis (±standard deviation [SD]; 95% limits of agreement with respective 95% CI) was -0.97 mm Hg (±4.8; -10.5 [-10.8 to -10.1] to 8.5 [8.1-8.8]). Conclusions: HPI provides an accurate real time and continuous prediction of impending intraoperative hypotension before its occurrence in awake patients under SA. We found acceptable agreement between ClearSight MAP and NIBP MAP

    Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

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    International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations

    Performance of a modular ton-scale pixel-readout liquid argon time projection chamber

    No full text
    International audienceThe Module-0 Demonstrator is a single-phase 600 kg liquid argon time projection chamber operated as a prototype for the DUNE liquid argon near detector. Based on the ArgonCube design concept, Module-0 features a novel 80k-channel pixelated charge readout and advanced high-coverage photon detection system. In this paper, we present an analysis of an eight-day data set consisting of 25 million cosmic ray events collected in the spring of 2021. We use this sample to demonstrate the imaging performance of the charge and light readout systems as well as the signal correlations between the two. We also report argon purity and detector uniformity measurements, and provide comparisons to detector simulations
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