[The Koblenz algorithm for thoracoabdominal wounds in a military hospital].
S N AnipchenkoYa V VysotskyP O TopolnikovA N AnipchenkoA S AllakhverdyanPublished in: Khirurgiia (2024)
Despite available armored personal protection in troops, the incidence of abdominal wounds in modern wars is 6.6-9.0%. Of these, penetrating abdominal injuries comprise 75-80%. Thoracoabdominal injuries occupy a special place with incidence up to 88%. We present the first case of the "Koblenz algorithm" in the treatment of a patient with mine explosion wound, combined injury of the head, limbs, thoracoabdominal trauma, widespread peritonitis, small intestinal obstruction and septic shock in a military hospital. This algorithm was implemented under import substitution considering the peculiarities of abdominal adhesive process in a patient with thoracoabdominal wound. This case demonstrates the advantage of this algorithm for patients with severe combined wounds of the chest and abdomen complicated by diffuse purulent peritonitis. Clinical status of these patients does not allow not only open laparostomy, but also "classical" redo laparotomies.
Keyphrases
- machine learning
- aortic aneurysm
- deep learning
- septic shock
- wound healing
- case report
- healthcare
- risk factors
- neural network
- newly diagnosed
- ejection fraction
- minimally invasive
- posttraumatic stress disorder
- prognostic factors
- adverse drug
- acute care
- low grade
- patient reported outcomes
- high grade
- optical coherence tomography
- aortic valve replacement
- trauma patients
- transcatheter aortic valve replacement
- replacement therapy
- optic nerve