Epidemiological Aspects and Seasonal Variation of Meningitis in Egyptian Patients: a Single-Center Study at Abbassia Fever Hospital from 2006 to May 2017

QJM ◽  
2021 ◽  
Vol 114 (Supplement_1) ◽  
Author(s):  
Amany Ahmed Ibrahim ◽  
Sara Mahmoud Abdelhakam ◽  
Amira Mahmoud AlBalakosy ◽  
Amr Mahmoud Hussein

Abstract Background As a result of dangerous complications caused by Meningitis, early recognition, and rapid starting of therapy is very important. Objectives To have an epidemiological profile of patients admitted with meningitis to Abbassia Fever Hospital from year 2006 to May 2017. Patients and methods Meningitis Have a seasonal variations. And this study was done to achieve an epidemiological profile of patients admitted with meningitis to Abbassia Fever Hospital from January 2006 to May 2017. Our study was conducted as retrospective descriptive study at Abbassia Fever Hospital from January 2006 to May 2017. on all of patients admitted to Abbassia Fever Hospital by using data Extraction Sheet. Results Meningitis was more common in Adult age group 60.8%. Meningitis was more common in males 64.4%. More common in Cairo 60.1%. in Cairo it is more common in Nasr city 8.8%. Seasonal variation of meningitis cases was demonstrated in this study with the highest incidence in winter and Spring. The most common symptom of meningitic patients were fever 89.2% followed by convulsions 12.1%, vomiting 10.% and then Headache 7.8% The most common sign in meningitic patients were neck rigidity in 66%, Kernig’s sign in 60%, and Brudizinski’s sign in 40% of patients. Patient of meningitis had convulsions 18.6% and DCL 30.4%, the convulsion and DCL are related to ICU admission. 30.1% of patients of meningitis admitted to ICU. Conclusion Meningitis is more common in males, more common in Cairo.in Cairo it is more common in Nasr city. Meningitis has a seasonal variation commonly, in winter and Spring.

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e047051
Author(s):  
Gemma F Spiers ◽  
Tafadzwa Patience Kunonga ◽  
Alex Hall ◽  
Fiona Beyer ◽  
Elisabeth Boulton ◽  
...  

ObjectivesFrailty is typically assessed in older populations. Identifying frailty in adults aged under 60 years may also have value, if it supports the delivery of timely care. We sought to identify how frailty is measured in younger populations, including evidence of the impact on patient outcomes and care.DesignA rapid review of primary studies was conducted.Data sourcesFour databases, three sources of grey literature and reference lists of systematic reviews were searched in March 2020.Eligibility criteriaEligible studies measured frailty in populations aged under 60 years using experimental or observational designs, published after 2000 in English.Data extraction and synthesisRecords were screened against review criteria. Study data were extracted with 20% of records checked for accuracy by a second researcher. Data were synthesised using a narrative approach.ResultsWe identified 268 studies that measured frailty in samples that included people aged under 60 years. Of these, 85 studies reported evidence about measure validity. No measures were identified that were designed and validated to identify frailty exclusively in younger groups. However, in populations that included people aged over and under 60 years, cumulative deficit frailty indices, phenotype measures, the FRAIL Scale, the Liver Frailty Index and the Short Physical Performance Battery all demonstrated predictive validity for mortality and/or hospital admission. Evidence of criterion validity was rare. The extent to which measures possess validity across the younger adult age (18–59 years) spectrum was unclear. There was no evidence about the impact of measuring frailty in younger populations on patient outcomes and care.ConclusionsLimited evidence suggests that frailty measures have predictive validity in younger populations. Further research is needed to clarify the validity of measures across the adult age spectrum, and explore the utility of measuring frailty in younger groups.


2020 ◽  
Vol 2020 (12) ◽  
Author(s):  
Leen Jamel Doya ◽  
Naya Talal Hassan ◽  
Fareeda Wasfy Bijow ◽  
Hanin Ahmed Mansour ◽  
Sawsan Ahmad ◽  
...  

ABSTRACT Vomiting is a common symptom of a multitude of diseases in children. It is usually part of benign illness and can occur at any age. Recurrent vomiting can be a symptom of life-threatening medical or surgical emergencies. It can be rarely caused by an extraluminal pyloric duplication cyst. Early recognition is essential for preventing delays in management and potential complications. Here we report a case of an extraluminal pyloric duplication presenting as progressive gastric outlet obstruction cyst in a 14-month-old Syrian boy. The diagnosis was made through abdominal ultrasound, gastrointestinal endoscopy and abdominal computed tomography scan.


BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e017567
Author(s):  
Shimels Hussien Mohammed ◽  
Mulugeta Molla Birhanu ◽  
Tesfamichael Awoke Sissay ◽  
Tesfa Dejenie Habtewold ◽  
Balewgizie Sileshi Tegegn ◽  
...  

IntroductionIndividuals living in poor neighbourhoods are at a higher risk of overweight/obesity. There is no systematic review and meta-analysis study on the association of neighbourhood socioeconomic status (NSES) with overweight/obesity. We aimed to systematically review and meta-analyse the existing evidence on the association of NSES with overweight/obesity.Methods and analysisCross-sectional, case–control and cohort studies published in English from inception to 15 May 2017 will be systematically searched using the following databases: PubMed, EMBASE, Web of Sciences and Google Scholar. Selection, screening, reviewing and data extraction will be done by two reviewers, independently and in duplicate. The Newcastle–Ottawa Scale (NOS) will be used to assess the quality of evidence. Publication bias will be checked by visual inspection of funnel plots and Egger’s regression test. Heterogeneity will be checked by Higgins’s method (I2statistics). Meta-analysis will be done to estimate the pooled OR. Narrative synthesis will be performed if meta-analysis is not feasible due to high heterogeneity of studies.Ethics and disseminationEthical clearance is not required as we will be using data from published articles. Findings will be communicated through a publication in a peer-reviewed journal and presentations at professional conferences.PROSPERO registration numberCRD42017063889.


2018 ◽  
Vol 7 (2.28) ◽  
pp. 312
Author(s):  
Manu Kohli

Asset intensive Organizations have searched long for a framework model that would timely predict equipment failure. Timely prediction of equipment failure substantially reduces direct and indirect costs, unexpected equipment shut-downs, accidents, and unwarranted emission risk. In this paper, the author proposes a model that can predict equipment failure by using data from SAP Plant Maintenance module. To achieve that author has applied data extraction algorithm and numerous data manipulations to prepare a classification data model consisting of maintenance records parameters such as spare parts usage, time elapsed since last completed maintenance and the period to the next scheduled maintained and so on. By using unsupervised learning technique of clustering, the author observed a class to cluster evaluation of 80% accuracy. After that classifier model was trained using various machine language (ML) algorithms and subsequently tested on mutually exclusive data sets with an objective to predict equipment breakdown. The classifier model using ML algorithms such as Support Vector Machine (SVM) and Decision Tree (DT) returned an accuracy and true positive rate (TPR) of greater than 95% to predict equipment failure. The proposed model acts as an Advanced Intelligent Control system contributing to the Cyber-Physical Systems for asset intensive organizations. 


2020 ◽  
Vol 13 (1) ◽  
pp. 40-68
Author(s):  
Heni Listiana

Discussions about children and female migrant workers (TKW) are always in interesting issue. Especially, related to child care. By using data extraction techniques such as observation, interviews, and documentation, it is known that parenting children of migrant workers in Madura has formed a new structure with the emergence of a second mother. There are three types of second mothers, namely grandmother,  bu de (mother's brother or sister), and sister of TKW's child. They carry out the role of mother, among them being a model of children's behavior that is easily observed and imitated, becomes an educator, becomes a consultant, and becomes a source of information. Nearly 77% of grandmothers become maternal substitutes for migrant workers' children. Grandmother is considered the right person to do childcare tasks. This structure is called the inner parenting structure. While the structure of outside parenting takes the form of community participation in child care, namely good neighbors, the attention of the village head (Klebun), and the environment of friends and schools.   Pembahasan tentang anak dan Tenaga Kerja Wanita (TKW) selalu menjadi isu yang menarik. Terutama yang berkaitan dengan pola asuh anak. Dengan menggunakan teknik penggalian data berupa observasi, wawancara, dan dokumentasi diketahui bahwa pola asuh anak TKW di Madura membentuk struktur baru dengan munculnya ibu pengganti (second mother). Ada tiga jenis ibu pengganti, yaitu nenek, bu de (kakak atau adik ibu), serta kakak dari anak TKW. Mereka menjalankan peran ibu diantaranya menjadi model tingkah laku anak yang mudah diamati dan ditiru, menjadi pendidik, menjadi konsultan, dan menjadi sumber informasi. Hampir 77% nenek menjadi sosok pengganti ibu bagi anak-anak TKW. Nenek dianggap sebagai sosok yang tepat untuk melakukan tugas-tugas pengasuhan anak. Struktur ini disebut dengan struktur pola asuh dalam. Sementara struktur pola asuh luar itu berwujud peran serta masyarakat dalam pengasuhan anak yaitu tetangga yang baik, perhatian kepala desa (Klebun), dan lingkungan teman dan sekolah.


2019 ◽  
Vol 19 (1) ◽  
pp. 4-9
Author(s):  
Martin Sykes

AbstractAim:The aims of this study were to explore the outcome measures that can be recorded in a radiotherapy IT system and the extract mortality results for a group of patients receiving radical radiotherapy treatment for primary brain cancer.Method:Treatment mortality outcomes were extracted from a radiotherapy database and were compared to treatment technique used between 1 January 2011 and 31 December 2017. The patients selected received 1 course of radiotherapy of 60 Gray in 30 treatments (n = 270). These patients received either Conformal Radiotherapy (CRT) (n = 127) or Volumetric Modulated Arc Therapy (VMAT) (n = 143). Kaplan–Meier plots were generated for these two groups to assess the survival. The median survival was 20·1 months (95%CI = 16·8−23·4) and 14·0 months (95%CI = 11·1−16·5) for CRT and VMAT, respectively.Discussion:Surprisingly, the results of this data extraction demonstrated that CRT gave better survival for this group of patients, than VMAT. The reason for the difference in survival is unclear and more data are needed to explain the result.Conclusion:This demonstrates that not only that a radiotherapy database can be used to extract outcome measures but that it must be done to explore where a change in treatment delivery has been of benefit to the patients or not.


2010 ◽  
Vol 20-23 ◽  
pp. 178-183
Author(s):  
Jun Hua Gu ◽  
Jie Song ◽  
Na Zhang ◽  
Yan Liu Liu

With the increasingly high-speed of the internet as well as the increase in the amount of data it contains, users are finding it more and more difficult to gain useful information from the web. How to extract accurate information from the Web efficiently has become an urgent problem. Web information extraction technology has emerged to solve this kind of problem. The method of Web information auto-extraction based on XML is designed through standardizing the HTML document using data translation algorism, forming an extracting rule base by learning the XPath expression of samples, and using extraction rule base to realize auto-extraction of pages of same kind. The results show that this approach should lead to a higher recall ratio and precision ratio, and the result should have a self-description, making it convenient for founding data extraction system of each domain.


2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
J. Bouaziz ◽  
R. Mashiach ◽  
S. Cohen ◽  
A. Kedem ◽  
A. Baron ◽  
...  

Endometriosis is a disease characterized by the development of endometrial tissue outside the uterus, but its cause remains largely unknown. Numerous genes have been studied and proposed to help explain its pathogenesis. However, the large number of these candidate genes has made functional validation through experimental methodologies nearly impossible. Computational methods could provide a useful alternative for prioritizing those most likely to be susceptibility genes. Using artificial intelligence applied to text mining, this study analyzed the genes involved in the pathogenesis, development, and progression of endometriosis. The data extraction by text mining of the endometriosis-related genes in the PubMed database was based on natural language processing, and the data were filtered to remove false positives. Using data from the text mining and gene network information as input for the web-based tool, 15,207 endometriosis-related genes were ranked according to their score in the database. Characterization of the filtered gene set through gene ontology, pathway, and network analysis provided information about the numerous mechanisms hypothesized to be responsible for the establishment of ectopic endometrial tissue, as well as the migration, implantation, survival, and proliferation of ectopic endometrial cells. Finally, the human genome was scanned through various databases using filtered genes as a seed to determine novel genes that might also be involved in the pathogenesis of endometriosis but which have not yet been characterized. These genes could be promising candidates to serve as useful diagnostic biomarkers and therapeutic targets in the management of endometriosis.


2021 ◽  
Vol 26 (9) ◽  
pp. 4263-4274
Author(s):  
Renata Duarte Marques ◽  
Jussara Rafael Angelo ◽  
Alzemar Alves de Lima ◽  
Trevon Fuller ◽  
Christovam Barcellos

Abstract Due to intense ongoing urbanization in the Amazon, the urban pattern of malaria may be changing, both in its spatial distribution and epidemiological profile. The purpose of this paper is to analyze how the process of production of urban space in Porto Velho, the capital of the state of Rondonia, Brazil has contributed to the occurrence and maintenance of urban malaria. Using data collected from the Malaria Epidemiological Surveillance System (SIVEP-Malaria), we calculated malaria indices for the districts of Porto Velho from 2005 to 2018. We also developed two typologies for classifying urban space based on functional characteristics and features of the landscape. While the former considers characteristics of urban space in Porto Velho, the latter is based on suitability for malaria vectors. We found that the annual parasite index declined in Porto Velho during the study period. However, changes in the index were not uniform across the districts of the city. Periurban areas showed no decline in the index, which we attribute to these areas’ high vegetation density and hydrological characteristics.


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