Prediction of Kidney Injury After Hyperthermic Intraperitoneal Chemotherapy (HIPEC)* With Machine Learning
NCT03895606 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 57
Last updated 2020-08-03
Summary
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.
Conditions
- Acute Kidney Injury
- Chemotherapy
Interventions
- OTHER
-
Data collection
This study is an observational study collecting perioperative data. There is no intervention regarding this study.
Sponsors & Collaborators
-
Gangnam Severance Hospital
lead OTHER
Eligibility
- Min Age
- 19 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-03-29
- Primary Completion
- 2020-03-18
- Completion
- 2020-03-18
Countries
- South Korea
Study Locations
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