12 research outputs found
Outcome of primary percutaneous coronary intervention among cases undergoing transradial technique
No full textObjective: To assess the outcome of primary percutaneous coronary intervention among patients undergoing transradial technique. Material and methods: An observational study was conducted at Department of Intervention Cardiology, Peshawar institute of Cardiology during in the period from November, 2022 to April, 2023. Total 121 patients presenting with STEMI undergoing PPCI through transradial technique. Mortality and forearm hematoma were assessed. Chi Square test was used for association keeping P value < 0.05 as significant. Results: Mean age recorded was 50.13±18.42 years, there were 82 (67.8%) male while 39 (32.3%) female patients. Success rate was 91.7%. Mortality rate was 4.1% while forearm hematoma was observed in 5.8% patients. Conclusion: primary percutaneous coronary intervention through transradial technique is an effective approach with 91.7% success rate
Comparative analysis of various machine learning algorithms to predict 28-day compressive strength of Self-compacting concrete
No full textConstruction industry is indirectly the largest source of CO2 emissions in the atmosphere, due to the use of cement in concrete. These emissions can be reduced by using industrial waste materials in place of cement. Self-Compacting Concrete (SCC) is a promising material to enhance the use of industrial wastes in concrete. However, there are very few methods available for accurate prediction of its strength, therefore, reliable models for estimating 28-day Compressive Strength (Câ\u80\u93S) of SCC are developed in current study by using three Machine Learning (ML) algorithms including Multi Expression Programming (MEP), Extreme Gradient Boosting (XGB), and Random Forest (RF). The ML models were meticulously developed using a dataset of 231 points collected from internationally published literature considering seven most influential parameters including cement content, quantities of fly ash and silica fume, water content, coarse aggregate, fine aggregate, and superplasticizer dosage to predict Câ\u80\u93S. The developed models were evaluated using different statistical errors including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), coefficient of determination (R2) etc. The results showed that the XGB model outperformed the MEP and RF model in terms of accuracy with a correlation R2Â =Â 0.998 compared to 0.923 for MEP and 0.986 for RF. Similar trend was observed for other error metrices. Thus, XGB is the most accurate model for estimating Câ\u80\u93S of SCC. However, it is pertinent to mention here that it does not give its output in the form of an empirical equation like MEP model. The construction of these empirical models will help to efficiently estimate Câ\u80\u93S of SCC for practical purposes.Validerad;2023;Nivå 2;2023-11-21 (joosat);CC BY-NC-ND 4.0 License;Funder: King Saud University (RSP2023R496), Riyadh, Saudi Arabia</p
Association between anesthesia modality and clinical outcomes following endovascular stroke treatment in the extended time window
No full textBACKGROUND: There is a paucity of data on anesthesia-related outcomes for endovascular treatment (EVT) in the extended window (>6 hours from ischemic stroke onset). We compared functional and safety outcomes between local anesthesia (LA) without sedation, conscious sedation (CS) and general anesthesia (GA). METHODS: Patients who underwent EVT in the early ( Copyright © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.https://doi.org/10.1136/neurintsurg-2022-01884
Left atrial enlargement on non-gated CT is associated with large vessel occlusion in acute ischaemic stroke
No full textBACKGROUND: Recent reports have suggested that atrial fibrillation (AF) is more prevalent in the large vessel occlusion (LVO) subgroup of acute ischaemic stroke patients. Given the association between left atrial enlargement (LAE) and AF, we sought to evaluate the feasibility of assessing LAE on non-gated CT and its association with LVO in the hyperacute stroke setting. METHODS: We analysed our prospectively collected database that included all stroke patients referred for consideration of endovascular treatment between April 14, 2020, and May 21, 2020. During this period, a CT chest was included in our regional stroke protocol to aid triage of patients suspected for COVID-19 from which cardiac measurements were obtained. Patients were dichotomized into LVO and no-LVO groups, and LA measurements were trichotomized into normal, borderline, and enlarged. Univariate analyses were performed between groups. RESULTS: Of the included 38 patients, 21 were categorized as LVO and 17 as no LVO. There was a statistically significant association between LAE and LVO (p = 0.028). No significant difference was demonstrated between groups for the baseline AF and other clinical characteristics, except for baseline NIHSS (p = 0.0005). There was excellent inter- and intra-rater reliability (ICC = 0.969) for LA measurements. CONCLUSION: Our study provides preliminary data to suggest LAE is more prevalent in the LVO stroke subgroup at presentation and can be reliably assessed on non-gated CT in the hyperacute setting. These findings have potential implications for stratifying secondary management and may prompt a more rigorous pursuit of occult AF or other cardiac causes of stroke. Copyright © 2021 The Author(s) Published by S. Karger AG, Basel.https://doi.org/10.1159/00051912
Local anesthesia as a distinct comparator versus conscious sedation and general anesthesia in endovascular stroke treatment: a systematic review and meta-analysis
No full textBACKGROUND: The optimal anesthetic modality for endovascular treatment (EVT) in acute ischemic stroke (AIS) is undetermined. Comparisons of general anesthesia (GA) with composite non-GA cohorts of conscious sedation (CS) and local anesthesia (LA) without sedation have provided conflicting results. There has been emerging interest in assessing whether LA alone may be associated with improved outcomes. We conducted a systematic review and meta-analysis to evaluate clinical and procedural outcomes comparing LA with CS and GA. METHODS: We reviewed the literature for studies reporting outcome variables in LA versus CS and LA versus GA comparisons. The primary outcome was 90 day good functional outcome (modified Rankin Scale (mRS) score of 2b), procedural time metrics, and procedural complications. Random effects meta-analysis was performed on unadjusted and adjusted data. RESULTS: Eight non-randomized studies of 7797 patients (2797 LA, 2218 CS, and 2782 GA) were identified. In the LA versus GA comparison, no statistically significant differences were found in unadjusted analyses for 90 day good functional outcome or mortality (OR=1.22, 95% CI 0.84 to 1.76, p=0.3 and OR=0.83, 95% CI 0.64 to 1.07, p=0.15, respectively) or in the LA versus CS comparison (OR=1.14, 95% CI 0.76 to 1.71, p=0.53 and OR=0.88, 95% CI 0.62 to 1.24, p=0.47, respectively). There was a tendency towards achieving excellent functional outcome (mRS 2b), procedural time metrics, and procedural complications. Random effects meta-analysis was performed on unadjusted and adjusted data. RESULTS: Eight non-randomized studies of 7797 patients (2797 LA, 2218 CS, and 2782 GA) were identified. In the LA versus GA comparison, no statistically significant differences were found in unadjusted analyses for 90 day good functional outcome or mortality (OR=1.22, 95% CI 0.84 to 1.76, p=0.3 and OR=0.83, 95% CI 0.64 to 1.07, p=0.15, respectively) or in the LA versus CS comparison (OR=1.14, 95% CI 0.76 to 1.71, p=0.53 and OR=0.88, 95% CI 0.62 to 1.24, p=0.47, respectively). There was a tendency towards achieving excellent functional outcome (mRS 2=70%). Analysis of adjusted data demonstrated a tendency towards higher odds of death at 90 days in the GA versus the LA group (OR=1.24, 95% CI 1.00 to 1.54, p=0.05, I2=0%). CONCLUSION: LA without sedation was not significantly superior to CS or GA in improving outcomes when performing EVT for AIS. However, the quality of the included studies impaired interpretation, and inclusion of an LA arm in future well designed multicenter, randomized controlled trials is warranted. Copyright © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.https://doi.org/10.1136/neurintsurg-2021-01736
Machine Translation Technology in Language Pedagogy: A Linguistic and Engineering Perspective on Computational Analysis
No full textThis mixed-methods study explores the impact of Machine Translation (MT) technology on language pedagogy, aiming to investigate its benefits, challenges, and future directions, guided by three research questions focusing on performance expectancy, effort expectancy, and social influence. The problem statement underlying this study is the limited understanding of MT technology's impact on language pedagogy, despite its increasing popularity, and the context is the growing demand for language instruction and the need for effective language learning tools. Relevant research has shown MT technology's potential to improve language learning outcomes, enhance motivation, and support personalized learning (Chapelle, 2003; García, 2015). The study selected a population of language instructors and learners from various educational institutions, emphasizing MT technology's importance in facilitating communication and language learning. Employing a quantitative survey and qualitative semi-structured interviews, the study utilized the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, which provides a comprehensive understanding of the factors influencing MT technology adoption. The scope of this study is limited to exploring MT technology's impact on language pedagogy, focusing on performance expectancy, effort expectancy, social influence on pedagogical implications. The significance of this study lies in its potential to contribute to the understanding of MT technology's impact on language pedagogy, informing the development of effective language learning tools and instructional strategies. Data analysis procedures included descriptive statistics and frequency analysis for quantitative data by using SPSS software, and thematic analysis using NVivo for qualitative data, with results revealing several themes, providing insights into MT technology's impact on language pedagogy, highlighting its benefits, challenges, and future directions
DE-NOISING ECG SIGNALS CONTAMINATED WITH POWER LINE INTERFERENCE USING NOTCH PRE-FILTERED WAVELET
No full textThis paper presents the fusion of Notch filter and Wavelet Transform method for denoising ECG signals contaminated with Power line interference. The objective results are compared qualitatively as well as quantitatively while the effectiveness of the method is also validated by Comparing the obtained results with traditional notch filters as well as the wavelet denoising method. The simulation results demonstrate that the purposed method is most effective for removal of power line interference in terms of fast time convergence as well as less complexity of the deployed algorithm. 
Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries
No full textBackground: This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods: Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars (216 compared with 6 (95% confidence interval [CI]: −1) difference in costs. In India, the average cost for high FiO2 was 195 for low FiO2 leading to a −15 to −1164 compared with 93 (95% CI: −65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion: High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this
