A Prediction Model for 1-year Mortality After Valvular Heart Surgery
Study Details
Study Description
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.
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Outcome Measures
Primary Outcome Measures
- 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 Outcome Measures
- 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
Eligibility Criteria
Criteria
Inclusion Criteria:
- 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:
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patients aged <18 years
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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.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine | Seoul | Korea, Republic of |
Sponsors and Collaborators
- Yonsei University
Investigators
- Principal Investigator: Jin Sun Cho, Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- 4-2022-1117