Background: Penetrating neck injuries are common problem in our country due to increasing violence, terrorist bombing and military operations.
These injuries are potentially life threating and need great attention and proper management.
Objective: The aim of this study is to focus on the importance of anatomical zonal classification of the neck in the management of penetrating injuries of the visceral compartment of the Neck.
Methods :70 patients with various injuries who were managed at causality unit and Otolaryngology department in Al-Kindy Teaching Hospital during aperiod from January 1st 2015 to October 31st 2015.
The study carried on those patient depending on proper clinical examination and their urgent management.
Results : Both civilian and military patients were admitted to the hospital, 34 patients (47.2%) in their 20s age group, while only 2 (2.8%) in 60s.
High percentage of penetrating neck injuries in zone , 48 patient (68.6%) and lowest in zone , 6 patients (8.5%).
40 patients (57.1%) presented with tracheal and laryngeal injuries and 12 patients (17.5%) were with pharyngeal injuries, 4 patients (5.7) were with recurrent laryngeal nerve injury and 13 patients (18.5%) presented with vascular injuries.
Radiological examination done for 53 patients (75%) and we found foreign bodies in 30 patients (56.6%), tracheal deviation in 4 patients (7.5%) and emphysema in 19 patients (35.8%).
Tracheostomy done in 51 patients (72.8%) neck, exploration in 20 patients (28.5%) and a 9 patients (12.8%) treated conservatively.
Conclusion: Zonal classification of penetrating neck injuries was helpful in the management. Our study explains demographics and location of the injuries. Young men involved in violence and bombing was at high risk.
Zone with involvement of trachea, larynx and pharynx were most common areas of injuries.
Recommendations
Anatomical zone classification should be used as a guideline in management of penetrating neck injuries. (Trauma lifesaving guideline).Tracheostory should be practiced by every doctor in casualty unit. Team of surgeons and anaesthiologist should be always ready for any intervention with patient present to the casualty unite with a penetrating neck injury. Emergency medicine medical practice must be presents in every casualty unit to deal with insults.
Aim of the study
1.To recognize penetrating injuries of the neck according to the anatomic neck zones.
2.Identify the outcome of their treatment
The study aims to test the relationship of work pressure to its dimensions (role conflict, ambiguity of role, workload and nature of work) as an independent variable and its effect on organizational alienation by its dimensions (disability, lack of power, indifference, animosity, social isolation and self-alienation) (Restraint and confidence in negation, initiative, adaptation and living conscience) as a mediator variable, in some faculties of Baghdad University of Science (Medicine and Engineering) and Humanity (Education and Literature). The data was collected on the practical side, which was applied randomly (306) of the teachers and teachers of the colleges (56) items, which included the main research variables
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Aims of study Assessment of angiogenic potential in benign vascular lesions (hemangioma, lymphangioma and lobular capillary hemangioma) of head and neck region.
Materials and Methods: Twenty-two formalin-fixed paraffin-embedd
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Codes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an ob
... Show MoreCodes of red, green, and blue data (RGB) extracted from a lab-fabricated colorimeter device were used to build a proposed classifier with the objective of classifying colors of objects based on defined categories of fundamental colors. Primary, secondary, and tertiary colors namely red, green, orange, yellow, pink, purple, blue, brown, grey, white, and black, were employed in machine learning (ML) by applying an artificial neural network (ANN) algorithm using Python. The classifier, which was based on the ANN algorithm, required a definition of the mentioned eleven colors in the form of RGB codes in order to acquire the capability of classification. The software's capacity to forecast the color of the code that belongs to an object under de
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... Show MoreBackground: Acute cholecystitis is common surgical
problem, which was treated previously by conservative
treatment .Later early open has been introduced as an
alternative to interval for treatment of acute cholecystitis.
Early open was found to be a safe, successful with
comparable postoperative complication rate. With the
advent of laparoscopy laparoscopic have been used for
chronic cholecystitis and became the first line of
treatment. New reports have shown that laparoscopic can
be used as an alternative to open for surgical treatment of
acute cholecystitis.
Objectives: to compare the success, safety of early
laparoscopic versus early open as a primary treatment of
acute cholecystitis.
Methods:
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