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.
Study Type
OBSERVATIONAL
Enrollment
2,046
Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine
Seoul, South Korea
RECRUITING1-year mortality 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.
Time frame: 1 year after valvular heart surgery
neutrophil-to-lymphocyte ratio (NLR), calculated as the number of neutrophils divided by the number of lymphocytes
the white blood cell count with (neutrophil)
Time frame: within 1 month before surgery
monocyte-to-lymphocyte ratio (MLR), calculated as the number of monocytes divided by the number of lymphocytes
the white blood cell count with ( monocyte)
Time frame: within 1 month before surgery
platelet-to-lymphocyte ratio (PLR), calculated as the number of platelets divided by the number of lymphocytes
the white blood cell count with platelet
Time frame: within 1 month before surgery
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.