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)

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05257863

Enrollment

10000

Registered

2022-02-25

Start date

2022-05-01

Completion date

2023-12-31

Last updated

2023-05-09

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anastomotic Complication, Anastomotic Leak, Cancer, Colitis Ulcerosa, Diverticulitis, Morbus Crohn, Postoperative Complications, Psychiatric Disorder, Psychosomatic Disorder, Small Intestine Anastomotic Leak

Keywords

machine learning, clinical prediction modeling, artificial intelligence

Brief 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

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Colocolic, colorectal and small intestine anastomosis * Neoplasia, * Diverticulitis * 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

Design outcomes

Primary

Measure	Time frame	Description
Complication after surgery/ Comprehensive Complication Index/ Clavian Dindo Score	From index surgery up to six weeks postoperatively	Impact of psychatric and psychosomatic disorders are having higher complication rates
Length of Hospital Stay (in Days)	From surgery up to 12 weeks postoperatively	Impact of psychatric and psychosomatic disorders are having longer hospitalization
Intraoperative influid manangment	Time Frame: From index surgery up to six weeks postoperatively	Impact of Intraoperative influid on the development of anastomotic insuffiency
Development of a preoperative score for morbidity/mortality in colorectal surgery	From index surgery up to six weeks postoperatively	Check the risk for morbidity/mortality in colorectal surgery
Anastomotic insufficiency/leakage	From index surgery up to six weeks postoperatively	Predictive model with an app for the development of anastomosis insufficiency based on the risk factors.

Countries

Switzerland

Contacts

Primary ContactAnas Taha, MD

anas.taha@unibas.ch0041612075402

Backup ContactStephanie Taha-Mehlitz, MD

Stephanie.taha@clarunis.ch

Outcome results