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Development of a Prediction Model for Catecholamine Requirements

Development of a Predictive Model for Catecholamine Requirements to Guide Personalized Treatment in Cardiovascular Surgery Patients

Status
Active, not recruiting
Phases
Unknown
Study type
Unknown
Source
JPRN
Registry ID
JPRN-jRCT1011250052
Enrollment
400
Registered
2025-12-08
Start date
2025-03-05
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

Conditions requiring cardiac surgery with cardiopulmonary bypass.

Interventions

None listed

Sponsors

Sato Tomoe
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients whose clinical data, anesthesia records, and surgical records are available from their medical charts. 2. Patients aged 18 years or older at the time of surgery.

Exclusion criteria

Exclusion criteria: 1. Patients who declined participation via the opt-out method. 2. Patients who underwent emergency surgery. 3. Patients requiring mechanical circulatory support (MCS) upon discharge from the operating room.

Design outcomes

Primary

MeasureTime frame
AUC and AUPRC in the prediction models—

Secondary

MeasureTime frame
SHAP and callibration—

Contacts

Public ContactSato Tomoe

Sapporo Medical University

drtomoe1212@gmail.com+81-11-611-2111

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026