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

NCT05833256 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2046

Last updated 2023-04-27

No results posted yet for this 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.

Conditions

  • Patients Undergoing Valvular Heart Surgery

Sponsors & Collaborators

  • Yonsei University

    lead OTHER

Principal Investigators

  • Jin Sun Cho · Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-11-01
Primary Completion
2023-10-31
Completion
2023-10-31

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05833256 on ClinicalTrials.gov