63 research outputs found

    Triglyceride glucose index as an indicator of cardiovascular risk in Syrian refugees

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    Background: The triglyceride glucose (TyG) index is a quick and inexpensive approach to measure insulin resistance. The aim of this study was to evaluate the TyG index’s ability to predict cardiovascular risk and determine the TyG index cutoff values in Syrian refugees. Methods: A retrospective research study was conducted with 756 Syrian refugees. Data on demographics and clinical laboratory assessments were obtained from refugee’s files. The formula Ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg (dL)/2] was used to calculate the TyG index. The Framingham risk score was used to calculate ten-year cardiovascular risk. The TyG index cutoff point was determined using the receiver operating characteristic curve (ROC). Results: Included participants had a mean age of 56.76 ± 10.78 years and a mean body mass index (BMI) of 27.42 ± 4.03 kg/m2. 28.57% of the subjects were smokers, and the majority were female (56.75%). A significant moderate correlation was observed between TyG index and Framingham score (r = 0.428, p < 0.001). ROC curve analysis for TyG index and Framingham score showed an area under the curve (AUC) of 0.741 (95% CI = 0.691–0.791; p < 0.001). The cutoff value of the TyG index to recognize intermediate/high risk Framingham risk score was 9.33, with a sensitivity of 64.3%, and specificity of 75.0%. Conclusion: Our findings determine that, given a TyG index cutoff value of 9.33, the TyG index has a predictive ability to assess ten-year cardiovascular risk by comparison to the Framingham risk score in a high-risk group of Syrian refugees and can be used as an independent indicator of cardiovascular risk

    Casemix, management, and mortality of patients receiving emergency neurosurgery for traumatic brain injury in the Global Neurotrauma Outcomes Study: a prospective observational cohort study

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    DDoS Attack Prevention for Internet of Thing Devices Using Ethereum Blockchain Technology

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    The Internet of Things (IoT) has widely expanded due to its advantages in enhancing the business, industrial, and social ecosystems. Nevertheless, IoT infrastructure is susceptible to several cyber-attacks due to the endpoint devices’ restrictions in computation, storage, and communication capacity. As such, distributed denial-of-service (DDoS) attacks pose a serious threat to the security of the IoT. Attackers can easily utilize IoT devices as part of botnets to launch DDoS attacks by taking advantage of their flaws. This paper proposes an Ethereum blockchain model to detect and prevent DDoS attacks against IoT systems. Additionally, the proposed system can be used to resolve the single points of failure (dependencies on third parties) and privacy and security in IoT systems. First, we propose implementing a decentralized platform in place of current centralized system solutions to prevent DDoS attacks on IoT devices at the application layer by authenticating and verifying these devices. Second, we suggest tracing and recording the IP address of malicious devices inside the blockchain to prevent them from connecting and communicating with the IoT networks. The system performance has been evaluated by performing 100 experiments to evaluate the time taken by the authentication process. The proposed system highlights two messages with a time of 0.012 ms: the first is the request transmitted from the IoT follower device to join the blockchain, and the second is the blockchain response. The experimental evaluation demonstrated the superiority of our system because there are fewer I/O operations in the proposed system than in other related works, and thus it runs substantially faster

    Ischemic Stroke and Its Risk Factors in a Registry-Based Large Cross-Sectional Diabetic Cohort in a Country Facing a Diabetes Epidemic

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    The main aim of this study is to determine the prevalence and risk factors of ischemic stroke among diabetic patients registered in the Saudi National Diabetes Registry (SNDR) database. A cross-sectional sample of 62,681 diabetic patients aged ≥25 years was used to calculate ischemic stroke prevalence and its risk factors. Univariate and multivariate logistic regression analyses were used to assess the roles of different risk factors. The prevalence of ischemic stroke was 4.42% and was higher in the older age group with longer diabetes duration. Poor glycemic control and the presence of chronic diabetes complications were associated with a high risk of ischemic stroke. History of smoking and type 2 diabetes were more frequent among stroke patients. Obesity significantly decreased the risk for ischemic stroke. Regression analysis for ischemic stroke risk factors proved that age ≥45 years, male gender, hypertension, coronary artery disease (CAD), diabetes duration ≥10 years, insulin use, and hyperlipidemia were significant independent risk factors for ischemic stroke. We conclude that ischemic stroke is prevalent among diabetic individuals, particularly among those with type 2 diabetes. Good glycemic, hypertension, and hyperlipidemia control, in addition to smoking cessation, are the cornerstones to achieve a significant reduction in ischemic stroke risk

    Incidence, clinical distribution, and patient characteristics of childhood cancer in Saudi Arabia: A population-based analysis

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    Purpose: Information regarding the incidence and patterns of childhood malignancies is disproportionately overrepresented by high-income countries, representing mainly the Caucasian population. There is a need to evaluate and disseminate information for other ethnicities, particularly from the Middle East.Methods: Data from the National Cancer Registry, Saudi Arabia (SA-NCR), for pediatric patients (age 0-14 years) diagnosed between 2005 and 2009 and for similar patients at our institution during the same period were analyzed. Population numbers reported in the 2007 national census were used to calculate the annual incidence of childhood cancer.Results: Data from SA-NCR on 3885 patients were included in this analysis. The median age was 5.58 years, and 57.3% were males. The annual age-specific cancer incidence rate (ASR) for children in SA is 99.83 per million population; ASR per million for lymphoid leukemia is 25.75, 12.05 for brain tumors, and 9.82 for Hodgkin lymphoma. Of all childhood cancers in SA, 35% were treated at our institution. The five-year overall survival for these 1350 patients is 74.6% (median follow-up 7.52 years [95% confidence interval: 7.36-7.68]). Significant differences in the distribution of childhood malignancy subtypes were evident compared with other countries.Conclusion: We have reported differences in the cancer ASR and cancer subtype distribution for children in SA as compared with the worldwide incidence and with other populations. This paper provides a comprehensive epidemiological overview of childhood cancer in SA, which could be extrapolated to other regional Arab populations

    Iron catalyst for decomposition of methane: Influence of Al/Si ratio support

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    20% iron catalysts supported on combined alumina and silica through different proportions (Al2O3:SiO2: 100:0.00, 90.0:10.0, 80.0:20.0 and 0.0:100.0) were tested for the catalytic decomposition of methane to produce H2 and carbon. The catalysts were prepared via impregnation technique. The physicochemical properties of the catalysts were characterized with TGA, XRD, H2-TPR, and TEM techniques. The results specified no reaction for all temperatures when the catalysts were supported with bare silica. Indeed, the 20%Fe/(Si-80)-800 catalyst with 20% silica support operated at 800 °C produced CH4 conversion profile that rapidly descended from 64% to 5% due to the high content of silica. Plain alumina supported catalyst demonstrated the best conversion and stability operated at 800 °C. The CH4 conversion started from 83.4% and lasts at 82.2% after 300 min on stream. Keywords: Alumina, Fe catalyst, Hydrogen production, Methane decomposition, Silic

    Accuracy of seizure semiology obtained from first-time seizure witnesses

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    Abstract Background Little is known of how accurately a first-time seizure witness can provide reliable details of a semiology. Our goal was to determine how accurately first-time seizure witnesses could identify key elements of an epileptic event that would aid the clinician in diagnosing a seizure. Methods A total of 172 participants over 17 years of age, with a mean (sd) of 33.12 (13.2) years and 49.4% female, composed of two groups of community dwelling volunteers, were shown two different seizure videos; one with a focal seizure that generalized (GSV), and the other with a partial seizure that did not generalize (PSV). Participants were first asked about what they thought was the event that had occurred. They then went through a history-taking scenario by an assessor using a battery of pre-determined questions about involvement of major regions: the head, eyes, mouth, upper limbs, lower limbs, or change in consciousness. Further details were then sought about direction of movement in the eyes, upper and lower limbs, the side of limb movements and the type of movements in the upper and lower limbs. Analysis was with descriptive statistics and logistic regression. Results One hundred twenty-two (71.4%) identified the events as seizure or epilepsy. The accuracy of identifying major areas of involvement ranged from 60 to 89.5%. Horizontal head movements were significantly more recognized in the PSV, while involvement of the eyes, lateralization of arm movement, type of left arm movement, leg involvement, and lateralization of leg movement were significantly more recognized in the GSV. Those shown the GSV were more likely to recognize the event as "seizure" or "epilepsy" than those shown the PSV; 78 (84.8%) vs 44 (55.7%), (OR 0.22, p < 0.0001). Younger age was also associated with correct recognition (OR 0.96, P 0.049). False positive responses ranged from 2.5 to 32.5%. Conclusion First-time witnesses can identify important elements more than by chance alone, and are more likely to associate generalized semiologies with seizures or epilepsy than partial semiologies. However, clinicians still need to navigate the witness’s account carefully for additional information since routine questioning could result in a misleading false positive answer

    Lead Nitrate Induces Inflammation and Apoptosis in Rat Lungs Through the Activation of NF-κB and AhR Signaling Pathways

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    Lead (Pb) is one of the most frequent hazardous air contaminants, where the lungs are particularly vulnerable to its toxicity. However, the Pb distribution and its impact on lung inflammation/apoptosis and particularly the involvement of nuclear factor kappa B (NF-κB) and aryl hydrocarbon receptor (AhR) signaling pathways in Pb-induced lung toxicity have not yet been fully investigated. Adult male Wistar albino rats were exposed to Pb nitrate 25, 50, and 100 mg/kg b.w. orally for 3 days. The histopathological changes of several rat organs were analyzed using hematoxylin and eosin staining. The concentrations of Pb ion in different organ tissues were quantified using inductive coupled plasma mass spectrometry, while gas chromatography-mass spectrometry was used to identify organic compounds. The changes in the mRNA and protein expression levels of inflammatory and apoptotic genes in response to Pb exposure were quantified by using RT-PCR and Western blot analyses, respectively. Treatment of rats with Pb for three consecutive days significantly increased the accumulation of Pb in lung tissues causing severe interstitial inflammation. Pb treatment also increased the percentage of lung apoptotic cells and modulated apoptotic genes (Bc2, p53, and TGF-α), inflammatory markers (IL-4, IL-10, TNF-α), and oxidative stress biomarkers (iNOS, CYP1A1, EphX) in rat lung tissues. These effects were associated with a significant increase in organic compounds, such as 3-nitrotyrosine and myeloperoxidase, and some inorganic elements, such as selenium. Importantly, the Pb-induced lung inflammation and apoptosis were associated with a proportional increase in the expression of NF-κB and AhR mRNAs and proteins. These findings clearly show that Pb induces severe inflammation and apoptosis in rat lungs and suggest that NF-κB and AhR may play a role in Pb-induced lung toxicity.Open Access funding is provided by the Qatar National Library. This project was funded by the King Abdulaziz City for Science and Technology (KACST) grant no. (1-18-03-001-0007) Saudi Arabia and the Qatar University research grant no. (QUCG-CPH-20/21-1), Qatar

    Trends in Hospital Admission Due to Diseases of the Eye and Adnexa in the Past Two Decades in England and Wales:An Ecological Study

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    PURPOSE: To investigate the trends of hospital admissions concerning diseases of the eye and adnexa in the United Kingdom in the past 20 years. MATERIALS AND METHODS: An ecological study was conducted using hospital admission data taken from the Hospital Episode Statistics database in England and the Patient Episode Database for Wales. Hospital admissions data for diseases of the eye and adnexa were extracted for the period between April 1999 and March 2019. The trend in hospital admissions was assessed using a Poisson model. RESULTS: Hospital admission rate for diseases of the eye and adnexa increased by 73.8% [from 7.48 (95% CI 7.45–7.50) in 1999 to 13.00 (95% CI 12.97–13.02) in 2019 per 1000 persons, trend test, p < 0.001]. The most common cause of hospitalisation for diseases of the eye and adnexa was disorders of the lens (62.3%), followed by disorders of the choroid and retina (14.2%), followed by disorders of the eyelid, lacrimal system and orbit (11.5%). Hospital admission rate among males increased by 91.2% [from 6.19 (95% CI 6.16–6.22) in 1999 to 11.83 (95% CI 11.80–11.87) in 2019 per 1000 persons]. Hospital admission rate among females increased less sharply by 63.2% [from 8.71 (95% CI 8.68–8.75) in 1999 to 14.22 (95% CI 14.18–14.26) in 2019 per 1000 persons]. CONCLUSION: There are clear gender and age trends in the epidemiology of hospital admissions related to eye and adnexa disorders. Further observational studies are warranted to identify other risk factors for these important causes of hospitalisation and understanding of differential trends
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