Development and Accuracy of a Prediction Model for Acute Kidney Injury in Postoperative Cardiovascular Surgery Patients

Development and Accuracy of a Prediction Model for Acute Kidney Injury in Postoperative Cardiovascular Surgery Patients - Development of a Prediction Model for Acute Kidney Injury in postoperative Cardiovascular Surgery patients

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000046526

Enrollment

200

Registered

2022-01-03

Start date

2017-08-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Postoperative cardiovascular surgery patients

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Patients who were undergone elective cardiovascular operation, and who were used cardiopulmonary bypass intraoperatively.

Exclusion criteria

Exclusion criteria: Patients without measuring Creatinine before ICU admission, whose eGFRs are under 45 before ICU admission, who have already been introduced to maintenance dialysis before ICU admission, and who discharged ICU by 6:00 a.m. the next morning.

Design outcomes

Primary

Measure	Time frame
Predictive ability of AKI outbreak prediction model (area under the curve of ROC)	—

Secondary

Measure	Time frame
To Identify the factors contributing to the predictive performance of AKI development	—

Countries

Japan

Contacts

Public ContactYusaku Terada

Yokohama City University Hospital Intensive care unit

y.terada1991@gmail.com045-787-2800

Outcome results