Prediction of Kidney Injury After Hyperthermic Intraperitoneal Chemotherapy (HIPEC)* With Machine Learning

Yonsei University Health System (YUHS)

Status: Completed

Conditions: Chemotherapy; Acute Kidney Injury

Treatments: Other: Data collection

Study type: Observational

Funder types: Other

Identifiers

NCT03895606

3-2019-0016

Details and patient eligibility

About

Patients undergoing cytoreductive surgery with hyperthermic intraoperative chemotherapy (CRS with HIPEC) are prone to postoperative kidney dysfunction. Previous models predicting kidney injury after CRS with HIPEC did not include intraoperative physiologic data. This study is designed to include not only mean arterial pressure but other parameters such as systolic, diastolic arterial pressure, heart rate, oxygen saturation, body temperature, cardiac index, stroke volume variation and many other physical parameters using a data collection system that can record them every 1-7 seconds. The data will be analyzed using machine learning algorithms.

Enrollment: 57 patients

Sex: All

Ages: 19+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients undergoing cytoreductive surgery with hyperthermic intraoperative chemotherapy

Exclusion criteria

• patients under 19

Trial design

57 participants in 1 patient group

HIPEC

Description:

patients undergoing cytoreductive surgery and hyperthermic intraoperative chemotherapy due to carcinomatosis.

Treatment:

Other: Data collection