CALYPSO Pilot Study: Machine Learning Based Predictions of Surgical Complications

Duke University

Status: Completed

Conditions: Complication of Surgical Procedure; Postoperative Infection

Treatments: Other: CALYPSO; Behavioral: Standard Care

Study type: Observational

Funder types: Other

Identifiers

NCT02828475

Pro00072563

Details and patient eligibility

About

This is a pilot study of surgical patients whose postoperative care will be augmented with a personalized risk prediction platform (CALYPSO app).

Full description

CALYPSO is a software platform that uses machine learning techniques to create personalized risk predictions for postoperative complications. Individual risk factors are then linked to best-practice interventions tailored to the individual patient. The investigator aims to test the hypothesis that using CALYPSO-augmented postoperative care will reduce complication rates in patients undergoing elective general surgery. Subjects undergoing surgery will be assigned to the CALYPSO intervention in the postoperative period.

Enrollment: 200 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• >18 years of age
• Undergoing elective surgery
• Undergoing high risk colon, rectal, pancreas, gastric surgery with predicted length of stay greater or equal to 3 days

Exclusion criteria

• Surgeries with less than 3 days of anticipated length of stay (e.g. stoma takedown)

Trial design

200 participants in 2 patient groups

CALYPSO-augmented

Description:

Patients' postoperative care will be augmented with the CALYPSO platform.

Treatment:

Behavioral: Standard Care

Other: CALYPSO

Historical Control

Description:

Patients' postoperative care was performed using standard practice, before adopting the CALYPSO platform

Treatment:

Behavioral: Standard Care