scholarly journals Successful ankle replantation in two cases with different presentations

2020 ◽  
Vol 47 (2) ◽  
pp. 182-186
Author(s):  
Adzim Poh Yuen Wen ◽  
Mohd Hanifah Jusoh ◽  
Arman Zaharil Mat Saad ◽  
Ahmad Sukari Halim ◽  
Nu’man Wan Ismail Wan Faisham ◽  
...  

We report our experience of treating two patients with ankle amputation with different presentations. The first case was a clean-cut sharp amputation. The second case was an avulsion injury following a motor vehicle accident in a patient who arrived 8 hours after the injury. Replantation was successful in both cases. In avulsion injuries, a secondary operation for wound coverage is required at a later stage. With good strategy and a support team, encouraging limb survival outcomes are possible post-replantation.

2001 ◽  
Vol 24 (1) ◽  
pp. 128 ◽  
Author(s):  
Sue Jeavons

This paper uses the context of a longitudinal rural study, which examined the extent of psychological trauma andpredictors of that trauma following road accidents, to highlight issues for road accident survivors. It then outlines whatcounselling and psychological services are currently offered to road accident victims by the insurance companies andby a voluntary agency, the Road Trauma Support Team. Overall it appears that psychological and emotional needs ofsurvivors are not always acknowledged or provided for.


2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock

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.


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.


Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  

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