25 research outputs found

    A prospective study correlating fluid balance and outcome in critically ill patients

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    Background: Fluid administration can be lifesaving as fluid accumulation after initial resuscitation and stabilization of hemodynamics can lead to avoidable adverse effects and less favorable outcomes.Objective: The aim of the work was to evaluate whether even fluid balance in comparison to negative or even fluid status is correlated with increased morbidity and mortality rates in critically ill patients.Patients and Methods: An observational prospective study was done on 145 patients older than eighteen years, admitted to the general intensive care (Medical & Surgical ICU) units in Helwan University Hospitals and Ain Shams University Hospitals during the period from November 2020 till May 2021.Results: One hundred twenty-four patients (85.5%) who survived, having the median cumulative fluid balance of -110ml (IQR-2.1 – 2.2L) after four days following randomization while the median cumulative fluid balance of the 21 patients (14.5%) who didn’t survive was 3800 ml (IQR 1.7-5.2L), after four days of ICU admission. Fluid balance more than 1.2 liters per day in our study had higher ICU complications: Increased risk of AKI, longer ICU and hospital stays, mechanical ventilation and fluid balance was an independent factor associated with increased mortality.Conclusion: It could be concluded that negative fluid balance for 4 days in critically ill patients was associated with less length of stay in the general ICU, and less mechanical ventilation duration, while positive fluid balance, leads to higher mechanical ventilation duration, vasopressors requirements, and significantly associated with higher mortality

    A survey of text mining in social media facebook and twitter perspectives

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    Text mining has become one of the trendy fields that has been incorporated in several research fields such as computational linguistics, Information Retrieval (IR) and data mining. Natural Language Processing (NLP) techniques were used to extract knowledge from the textual text that is written by human beings. Text mining reads an unstructured form of data to provide meaningful information patterns in a shortest time period. Social networking sites are a great source of communication as most of the people in today’s world use these sites in their daily lives to keep connected to each other. It becomes a common practice to not write a sentence with correct grammar and spelling. This practice may lead to different kinds of ambiguities like lexical, syntactic, and semantic and due to this type of unclear data, it is hard to find out the actual data order. Accordingly, we are conducting an investigation with the aim of looking for different text mining methods to get various textual orders on social media websites. This survey aims to describe how studies in social media have used text analytics and text mining techniques for the purpose of identifying the key themes in the data. This survey focused on analyzing the text mining studies related to Facebook and Twitter; the two dominant social media in the world. Results of this survey can serve as the baselines for future text mining research

    Efficacy of nano-hydroxyapatite coating on osseointegration of early loaded dental implants

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    Background and Objectives:  The success rates of dental implants have been reported as a challenge, especially for early loading in the posterior maxilla area. The surfaces of dental implants are generally modified in an attempt to improve osseointegration. In which Unitite implants with Nano hydroxyapatite coating affect the healing process acceleration, high hydrophilicity, increased bone formation (BIC - Bone Implant Contact ), and the quality improvement of the new bone formed (BAFO - Bone Area Fraction Occupancy), keeping the original implant microtopography. This study aimed to evaluate the efficacy of Nano hydroxyapatite coating osseointegration of early loaded dental implants in the posterior maxilla. Patients and Methods: A clinical trial was carried out on ten patients need  twelve  implants with early loading   were treated in the oral and Maxillofacial Surgery Department, Faculty of Dentistry, Mansoura University ;  A root-form implant is the most frequently used type of dental implant today. The basis for dental implants is osseointegration, the HAnano® coating associated with its microtopography generate an increase in the titanium surface energy, making the implant highly hydrophilic, which guarantees the presence of blood and its components in the healing chamber

    Different spectrophotometric methods manipulating ratio spectra for the assay of hydrocortisone acetate and clioquinol in their topical preparation

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    Simple and precise spectrophotometric methods for quantitative assay of a mixture of hydrocortisone acetate (HCA) and clioquinol (CL) were developed and validated through different mathematical manipulation pathways. The developed methods utilized ratio spectra for resolving binary mixtures including absorbance subtraction, ratio subtraction coupled with spectrum subtraction, constant multiplication, constant value, and derivative ratio. The proposed methods were proved to be specific by analysing the laboratory-prepared mixtures and were applied for the assay of topical preparation successfully. The methods were validated using ICH guidelines where accuracy, repeatability and intermediate precision were within the acceptable limits. The linearity range was found to be 2-22 for HCA and 1.5-7 µg/mL for CL in all proposed methods and 2-7 µg/mL for HCA and CL in absorbance subtraction method through using a unified regression equation. The findings were statistically evaluated with respect to the official and reported methods, demonstrating that there was no significant difference

    Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

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    There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students.</p

    Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study

    No full text
    There is a widespread use of Internet technology in the present times, because of which universities are making investments in Mobile learning to augment their position in the face of extensive competition and also to enhance their students’ learning experience and efficiency. Nonetheless, Mobile Learning Platform are only going to be successful when students show acceptance and adoption of this technology. Our literature review indicates that very few studies have been carried out to show how university students accept and employ Mobile Learning Platform. In addition, it is asserted that behavioral models of technology acceptance are not equally applied in different cultures. The purpose of this study is to develop an extension of Technology Acceptance Model (TAM) by including four more constructs: namely, content quality, service quality, information quality and quality of the system. This is proposed to make it more relevant for the developing countries, like the United Arab Emirates (UAE). An online survey was carried out to obtain the data. A total of 221 students from the UAE took part in this survey. Structural equation modeling was used to determine and test the measurement and structural model. Data analysis was carried out, which showed that ten out of a total of 12 hypotheses are supported. This shows that there is support for the applicability of the extended TAM in the UAE. These outcomes suggest that Mobile Learning Platform should be considered by the policymakers and education developers as being not only a technological solution but also as being new e-learning platform especially for distance learning students

    Helicobacter pylori inversely related to clinical and functional severity of adult asthma

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    Background: Helicobacter pylori (H. pylori) are identified as one of the maximum inducing persistent bacterial infection; about 50% of populations were infected. Many studies detected that H. pylori have the ability for affecting extra-intestinal organs like respiratory system. Aim of the study.: is to detect the possible relationship between clinical and functional severity of bronchial asthma and H. pylori infection for better controlling of the disease. Patients and methods: A cross sectional Study carried out at the outpatient clinic of chest department, Zagazig University Hospitals, during the period from February 2015 to December 2015. One hundred and twenty asthmatic patients were selected randomly from bronchial asthma patients attended to outpatient clinic. They were agreed to do spirometry and H. pylori tests. They were (91 females) with mean age ± SD (36.96 ± 5.09) years and (29 males) with mean age ± SD (38.86 ± 4.29) years & with age range from (26–44) years. Results: The more degree of severity of bronchial asthma, the less +ve H. pylori cases, with a highly statistically significant difference between +ve and –ve H. pylori as regard severity of bronchial asthma. There was very highly statistically significant difference between mild, moderate, severe persistent asthma as regard H. plylori IgG. (P value < 0.001). Mild asthma were most +ve H. pylori (58.3%), while moderate and severe cases were (31.3%) and (10.4%) respectively. Conclusion: H. pylori infection was infrequently associated in asthmatic patients and has a prominent inverse relationship with severity of bronchial asthma and better control of the disease
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