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Brown-Sequard syndrome associated with a spinal cord injury caused by a retained screwdriver: A case report and literature review
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Background:

Nonmissile penetrating spine injury (NMPSI) represents a small percent of spinal cord injuries (SCIs), estimated at 0.8% in Western countries. Regarding the causes, an NMPSI injury caused by a screwdriver is rare. This study reports a case of a retained double-headed screwdriver in a 37-year-old man who sustained a stab injury to the back of the neck, leaving the patient with a C4 Brown-Sequard syndrome (BSS). We discuss the intricacies of the surgical management of such cases with a literature review.

Methods:

PubMed database was searched by the following combined formula of medical subjects headings, (MESH) terms, and keywords: (((SCIs [MeSH Terms]) OR (nmpsi [Other Term]) OR (nonmissile penetrating spinal injury [Other Term]) OR (nonmissile penetrating spinal injury [Other Term])) AND (BSS [MeSH Terms])) OR (BSS [MeSH Terms]).

Results:

A total of 338 results were found; 258 were case reports. After excluding nonrelated cases, 16 cases were found of BSS induced by spinal cord injury by a retained object. The male-to-female ratio in these cases is 11:5, and ages ranged from 11 to 72. The causes of spinal cord injury included screwdrivers in three cases, knives in five cases, and glass in three cases. The extracted data were analyzed.

Conclusion:

Screwdriver stabs causing cervical SCIs are extremely rare. This is the first case from Iraq where the assault device is retained in situ at the time of presentation. Such cases should be managed immediately to carefully withdraw the object under direct vision and prevent further neurological deterioration.

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Publication Date
Thu Dec 15 2022
Journal Name
Journal Of Inorganic And Organometallic Polymers And Materials
Ultrasound-Assisted and One-Pot Synthesis of New Fe3O4/Mo-MOF Magnetic Nano Polymer as a Strong Antimicrobial Agent and Efficient Nanocatalyst in the Multicomponent Synthesis of Novel Pyrano[2,3-d]pyrimidines Derivatives
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Fri Mar 31 2017
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Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
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Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG r

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Strategic Analysis for the Grain Grinders' establishments in Baghdad governorate and problems suffered by the industry, along with the possibility to predict its products
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