Development of Machine Learning Models for the Prediction of Complications After Colonic, Colorectal and Small Intestine Anastomosis in Psychiatric and Non-psychiatric Patient Collectives (P-Study)

  • End date
    Dec 31, 2023
  • participants needed
  • sponsor
    Dr. Med Anas Taha
Updated on 7 October 2022
inflammatory bowel disease
small intestine


Our study aims to lay the basis for a predictive modeling service for postoperative complications and prolonged hospital stay in patients suffering from psychiatric diseases undergoing colorectal surgery.

Furthermore, we aim to investigate the impact of preoperative Risk factors, psychiatric and psychosomatic diseases on the outcomes of colorectal surgery and the complications after colorectal surgeries like anastomosis insufficiency via predictive modeling techniques

The service mentioned above will be publicly available as a web-based application

Condition Postoperative Complications, Psychosomatic Disorder, Psychiatric Disorder, Cancer, Diverticulitis, Morbus Crohn, Colitis Ulcerosa, Anastomotic Leak, Anastomotic Complication, Small Intestine Anastomotic Leak
Clinical Study IdentifierNCT05257863
SponsorDr. Med Anas Taha
Last Modified on7 October 2022


Yes No Not Sure

Inclusion Criteria

Colocolic, colorectal and small intestine anastomosis
Mesenteric ischemia
Iatrogenic or traumatic perforation
Inflammatory bowel disease

Exclusion Criteria

Patients <18 years
Patients suffering from recurrent colorectal cancer bearing
Peritoneal carcinomatosis or unresectable metastatic disease at the time of bowel resection and anastomosis will be excluded
Patients who cannot be followed up on for more than six weeks after surgery
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