A Prediction Model for 1-year Mortality After Valvular Heart Surgery

Yonsei University

Status: Enrolling

Conditions: Patients Undergoing Valvular Heart Surgery

Study type: Observational

Funder types: Other

Identifiers

NCT05833256

4-2022-1117

Details and patient eligibility

About

The investigators aimed to develop a predictive model for mortality incorporating nutritional, inflammatory, and perioperative factors in patients undergoing valvular heart surgery. In this retrospective study, the investigators aimed to establish a comprehensive prediction model to predict the risk of 1-year mortality in valvular heart surgery patients through the identification of the inflammatory index most associated with 1-year mortality and developing a prognostic nomogram model incorporating perioperative risk factors with nutritional and inflammatory indices that would be verified by validation cohorts.

Enrollment: 2,046 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. patients who presented for surgery primarily due to valvular heart disease, including those who required concomitant coronary artery bypass surgery, aortic procedures, or other cardiac procedures.

Exclusion criteria

1. patients aged <18 years
2. undergoing transcatheter valve replacement, combined congenital heart surgery, or implantation of ventricular assist device, 3) lacking data required for calculating inflammatory indices, or 4) follow-up loss.