The Prediction of Anastomotic Insufficiency Risk After Colorectal Surgery (PANIC) Study

November 26, 2021 updated by: Michel Adamina, MD

The Prediction of Anastomotic Insufficiency Risk After Colorectal Surgery (PANIC) Study: Development and External Validation of an International, Multicenter Machine Learning Algorithm for Prediction of Anastomotic Insufficiency After Colonic or Colorectal Anastomosis

The Prediction of Anastomotic Insufficiency risk after Colorectal surgery (PANIC) study aims to establish a machine-learning-based application that allows for accurate preoperative prediction of patients at risk for anastomotic insufficiency after colon and colorectal surgery.

Study Overview

Detailed Description

Anastomotic insufficiency leads to clinical strains for patients, and significantly increases morbidity and mortality. On average, hospital stay is extended by 12 days while healthcare-related expenses are increased by 30,000 USD when patients suffer from an anastomotic leak. In experienced centers, the approximated incidence of anastomotic insufficiency is 3,3% for colon and 8.6% for colorectal procedures. Multiple subgroups of patients with increased risk for anastomotic leaks have been described in previous publications. Meticulous preoperative recognition of patients with increased risk for anastomotic insufficiency is clinically beneficial, as it would permit improved ressource preparation, enhanced patient education and superior surgical decision-making. However, it is often difficult for clinicians to balance the plethora of crucial risk factors for anastomotic leaks for a single patient. Machine learning methods have been exceptionally effective at incorporating various clinical variables into one unified risk prediction model. To the authors' best knowledge, there does not yet exist a credible prediction model or a conclusive prediction score for anastomotic insufficiency after colon and colorectal anastomosis. The aim of the Prediction of Anastomotic Insufficiency risk after Colorectal surgery (PANIC) study is to establish and externally validate an efficient machine-learning-based prediction tool based on multicenter data from a range of international centers.

Study Type

Observational

Enrollment (Anticipated)

11000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Basel
      • Allschwil, Basel, Switzerland, 4123
        • Clinical Research and Artificial Intelligence in Surgery, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
    • Zürich
      • Winterthur, Zürich, Switzerland, 8401
        • Kantonsspital Winterthur

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients who underwent colon or colorectal anastomosis for neoplasia, diverticulitis, mesenterial ischemia, iatrogenic or traumatic perforation, or inflammatory bowel disease. Only patients who have reached the age of 18 will be accepted. Only patients who are able to give informed consent to the procedure will be accepted.

Description

Inclusion Criteria:

  • Patients who underwent colon or colorectal anastomosis for neoplasia, diverticulitis, mesenterial ischemia, iatrogenic or traumatic perforation, or inflammatory bowel disease

Exclusion Criteria:

  • age < 18
  • recurrent colorectal cancer
  • peritoneal carcinomatosis or unresectable metastatic disease at time of bowel resection
  • informed consent not obtainable
  • follow-up < 6 weeks after surgery
  • no reversal of and ostomy

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Occurrence of Anastomotic leak
Time Frame: 5 years
Occurrence of anastomotic insufficiency/leak is defined as any clinical signs of leakage, confirmed by radiological examination, endoscopy, clinical examination of the anastomosis, or upon reoperation.
5 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Occurrence of Death
Time Frame: 90 days
90 days
Time to diagnosis of anastomotic leak
Time Frame: 90 days
Time to diagnosis of a leakage will be calculated as days between the index operation and diagnosis of the leakage by imaging with extraluminal contrast, endoscopy, re-operation, or when fecal containing fluid is objectified in a drainage.
90 days

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Disease-free survival (months)
Time Frame: 5 years
5 years
Overall survival (months)
Time Frame: 5 years
5 years
Adjuvant/additive immunochemotherapy (yes/no)
Time Frame: 5 years
Did the patient receive adjuvant/additive immunochemotherapy after surgery? (yes/no)
5 years
Adjuvant/additive radiotherapy (yes/no)
Time Frame: 5 years
Did the patient receive adjuvant/additive radiotherapy after surgery? (yes/no)
5 years
Additive curative surgery (no/yes: liver; lung; locoragional relapse)
Time Frame: 5 years
Did the patient receive additive curative surgery after the initial intervention? (no/yes: liver; lung; locoragional relapse)
5 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Michel Adamina, Prof. Dr. med., Clinical Research and Artificial Intelligence in Surgery, Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
  • Principal Investigator: Anas Taha, Dr. med., None currently
  • Principal Investigator: Thomas Steffen, Cantonal Hospital of St. Gallen
  • Principal Investigator: Stephanie Taha-Mehlitz, Dr. med., Department of Visceral Surgery, Clarunis, University Hospital Basel, Basel, Switzerland
  • Principal Investigator: Frédéric Ris, Prof. Dr. med., Department of Surgery, Hôpitaux Universitaires de Genève

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2021

Primary Completion (Anticipated)

December 31, 2022

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

July 22, 2021

First Submitted That Met QC Criteria

July 22, 2021

First Posted (Actual)

August 2, 2021

Study Record Updates

Last Update Posted (Actual)

December 1, 2021

Last Update Submitted That Met QC Criteria

November 26, 2021

Last Verified

November 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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