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)

Last updated: May 8, 2023
Sponsor: Dr. Med Anas Taha
Overall Status: Active - Recruiting

Phase

N/A

Condition

Ulcerative Colitis

Tourette's Syndrome

Intra-abdominal Infections

Treatment

N/A

Clinical Study ID

NCT05257863
P-Study
  • Ages > 18
  • All Genders

Study Summary

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

Eligibility Criteria

Inclusion

Inclusion Criteria:

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

Exclusion

Exclusion Criteria:

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

Study Design

Total Participants: 10000
Study Start date:
May 01, 2022
Estimated Completion Date:
December 31, 2023

Connect with a study center

  • GZO Hospital Wetzikon

    Wetzikon, Zurich 8620
    Switzerland

    Site Not Available

  • University of Basel

    Basel,
    Switzerland

    Active - Recruiting

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