Surgical Management of Actively Bleeding Duodenal Ulcer

1976 ◽  
Vol 56 (6) ◽  
pp. 1387-1393 ◽  
Author(s):  
Caldwell B. Esselstyn
2021 ◽  
Vol 14 (4) ◽  
pp. e242294
Author(s):  
Swastik Mishra ◽  
Pankaj Kumar ◽  
Prakash Kumar Sasmal ◽  
Tushar Subhadarshan Mishra

Endoscopic procedures are the front-runner of the management of bleeding duodenal ulcer. Rarely, surgical intervention is sought for acute bleeding, not amenable to endoscopic procedures. Oversewing of the gastroduodenal artery at ulcer crater by transduodenal approach is the most acceptable and recommended method of treatment. We describe a case of an intraoperative duodenal injury that occurred during an attempt to oversew the gastroduodenal artery after a duodenotomy, leading to an unsatisfactory and meagre duodenal stump. This case will highlight the intraoperative turmoil, postoperative complications and management of a series of anticipated but unfortunate events that have rendered us wiser in terms of surgical management of a bleeding duodenal ulcer.


1991 ◽  
Vol 78 (5) ◽  
pp. 633-634 ◽  
Author(s):  
M. Schein ◽  
P. S. Hunt ◽  
R. McIntyre

1963 ◽  
Vol 33 (3) ◽  
pp. 252-260 ◽  
Author(s):  
Robert M. Zollinger ◽  
Edward J. Beattie ◽  
Warren H. Cole ◽  
Joseph B. Kirsner ◽  
E. Clinton Texter

1958 ◽  
Vol 259 (5) ◽  
pp. 201-207 ◽  
Author(s):  
Robert M. Donaldson ◽  
Juanita Handy ◽  
Solomon Papper

2013 ◽  
Vol 1 (2) ◽  
pp. 20
Author(s):  
Anil Ojha ◽  
Pawan Shrestha ◽  
David A. Green

Peptic ulcer disease is uncommon in childhood, with non-specific clinical features. A tendency to late diagnosis makes it more likely for a patient to present with complications. Here we discuss a child with low socio-economic status from a developing country who presented with severe anemia secondary to a bleeding duodenal ulcer. The case highlights the importance of the patient’s background in the formulation of a management approach. In some cases this may be intuitive to an experienced physician. However, we demonstrate this with a simple mathematical diagnostic model using disease prevalences which are tied to our individual patient’s circumstances. The model shows how the negative predictive value of a test can change according to the patient’s background. We also suggest that the best treatment option will be influenced by the patient’s circumstances. Our patient comes from Nepal, but the principles involved are universally applicable.


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