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

Inflammation-related Markers for the Prediction of Postoperative 1-year Mortality in Patients Undergoing Valvular Heart Surgery

Status

UNKNOWN

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT05833256

Enrollment

2046

Registered

2023-04-27

Start date

2022-11-01

Completion date

2023-10-31

Last updated

2023-04-27

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

Conditions

Patients Undergoing Valvular Heart Surgery

Brief 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.

Interventions

None listed

Study design

Observational model

OTHER

Time perspective

RETROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

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.

Design outcomes

Primary

Measure	Time frame	Description
1-year mortality after valvular heart surgery	1 year after valvular heart surgery	Mortality at follow-up was analysed using time-to-event analysis, with survival time defined as the time from date of surgery until date of death.

Secondary

Measure	Time frame	Description
neutrophil-to-lymphocyte ratio (NLR), calculated as the number of neutrophils divided by the number of lymphocytes	within 1 month before surgery	the white blood cell count with (neutrophil)
monocyte-to-lymphocyte ratio (MLR), calculated as the number of monocytes divided by the number of lymphocytes	within 1 month before surgery	the white blood cell count with ( monocyte)
platelet-to-lymphocyte ratio (PLR), calculated as the number of platelets divided by the number of lymphocytes	within 1 month before surgery	the white blood cell count with platelet

Countries

South Korea

Contacts

Primary ContactJin Sun Cho

chjs0214@yuhs.ac82-2-2228-2419

Outcome results