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

Last updated: April 26, 2023
Sponsor: Yonsei University
Overall Status: Active - Recruiting

Phase

N/A

Condition

N/A

Treatment

N/A

Clinical Study ID

NCT05833256
4-2022-1117
  • Ages > 18
  • All Genders

Study Summary

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.

Eligibility Criteria

Inclusion

Inclusion Criteria:

  1. patients who presented for surgery primarily due to valvular heart disease, includingthose who required concomitant coronary artery bypass surgery, aortic procedures, or othercardiac procedures.

Exclusion

Exclusion Criteria:

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

Study Design

Total Participants: 2046
Study Start date:
November 01, 2022
Estimated Completion Date:
October 31, 2023

Connect with a study center

  • Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine

    Seoul,
    Korea, Republic of

    Active - Recruiting

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