scholarly journals Peno-scrotal degloving injury following motor vehicle accident—a case report

2020 ◽  
Vol 2020 (10) ◽  
Author(s):  
Aabishkar Bhattarai ◽  
Niraj Thapa ◽  
Bijaya Karki ◽  
Alok Atreya
Keyword(s):  
Traffic Accidents ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Road Traffic ◽  
Sexual Assaults ◽  
Scrotal Skin ◽  
Voiding Function ◽  
Vehicle Accident ◽  
Degloving Injury ◽  
Male Genital

Abstract Male genital injuries in the form of avulsed laceration of penis and scrotum are less frequent injuries in urological practice. The cases that occur are mostly caused by road traffic accidents, animal attacks, machinery-related accidents and physical/sexual assaults. Here, we report a case of a 28-year-old male with avulsion and traumatic degloving of the penile and scrotal skin with the exposure of the cavernous and spongy penile body, bilateral testes and total amputation of scrotal skin secondary to motor vehicle accident from Nepal. The patient was managed by emergency surgical debridement and reconstruction of the avulsed penile skin and burial of testis in the medial thigh pockets with primary suturing and hemostasis of the amputated scrotal region, which healed with satisfactory esthetic results with normal voiding function and erection of penis.

scholarly journals Proposal for Preventing Motor Vehicle Accident Related to Drowsy Driving in Patients With Narcolepsy

2021 ◽  
Vol 18 (3) ◽  
pp. 137-144
Author(s):  
Jae Wook Cho ◽  
Jun-Sang Sunwoo ◽  
Soo Hwan Yim ◽  
Daeyoung Kim ◽  
Dae Lim Koo ◽  
...  
Keyword(s):  
Traffic Accidents ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Road Traffic ◽  
Muscle Tone ◽  
Research Society ◽  
Driving Safety ◽  
Drowsy Driving ◽  
Near Misses ◽  
Vehicle Accidents

Narcolepsy is a chronic sleep disorder characterized by irresistible sleep attacks, hypersomnolence, cataplexy (sudden loss of muscle tone provoked by emotion), and sleep paralysis. Individuals with narcolepsy are at a high risk of experiencing sleepiness while driving leading to road traffic accidents. To prevent such accidents, some countries have regulations for commercial and noncommercial drivers with narcolepsy. Evaluating sleepiness is essential. Therefore, several subjective reports and objective tests were used to predict the possibility of car crashes or near-misses. Brain stimulants are effective in treating narcolepsy and can reduce daytime sleepiness in these patients. However, no guideline has been established for the driving safety of patients with narcolepsy in Korea. The Korean Sleep Research Society has prepared this proposal for preventing motor vehicle accidents caused by drowsy driving in patients with narcolepsy.

Virtual reality and computer games in the treatment of driving phobia induced by a motor vehicle accident

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.

Aspirated teeth - rigid or flexible bronchoscopy

2019 ◽  
pp. 1-2
Keyword(s):  
Clinical Practice ◽  
Foreign Bodies ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Flexible Bronchoscopy ◽  
Vehicle Accident

Tracheobronchial foreign bodies are a common problem in clinical practice. We present the case of a patient with three aspirated teeth following a motor vehicle accident.

Isolated second trimester uterine rupture following a motor vehicle accident

2021 ◽  
Vol 258 ◽  
pp. 461-463
Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  
Keyword(s):  
Uterine Rupture ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Second Trimester ◽  
Vehicle Accident

scholarly journals Obstructive Sleep Apnea and Risk of Motor Vehicle Accident

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident ◽  
Obstructive Sleep
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