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Updated: Jun 9, 2025

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Published on: November 28, 2018
Predictive Factors for Bleeding Risk in Patients Undergoing Valvular Surgery
Alef de Carvalho Vieira1, Renato Tambellini Arnoni1,2, Ana Beatriz Silva Barbosa1
1Instituto Dante Pazzanese de Cardiologia, São Paulo, SP - Brasil.
Insights
Postoperative bleeding after heart valve surgery is a significant risk. This study identified tricuspid insufficiency, cardiopulmonary bypass time, and preoperative hemoglobin as key predictors for bleeding risk.
Area of Science:
- Cardiovascular Surgery
- Anesthesiology
- Critical Care Medicine
Background:
- Postoperative bleeding is a major complication following heart valve surgery.
- This risk increases morbidity and mortality, posing a significant challenge in patient management.
Purpose of the Study:
- To develop and validate a predictive risk score for postoperative bleeding in patients undergoing heart valve surgery.
- To identify key clinical factors associated with increased bleeding risk.
Main Methods:
- Retrospective analysis of 525 patients who underwent valve surgery between 2021 and 2022.
- Logistic regression analysis was employed to identify bleeding risk factors, with statistical significance set at p<0.05.
- A nomogram was developed based on statistically significant variables.
Main Results:
- Tricuspid insufficiency (OR 3.31), chronic kidney disease/acute kidney injury (OR 2.97), reoperations (OR 2.5), and use of packed red blood cells (OR 2.8) were associated with increased bleeding.
- Cardiopulmonary bypass (CPB) time (OR 1.12) and a 2-valve approach (OR 2.23) also showed significant associations.
- Preoperative hemoglobin (OR 0.73) was found to be a protective factor against bleeding.
Conclusions:
- Cardiopulmonary bypass time, preoperative hemoglobin levels, and tricuspid insufficiency are independent predictors of postoperative bleeding.
- The developed risk score demonstrates plausibility and potential utility in predicting bleeding risk in cardiac surgery patients.
Background:
The postoperative period of heart valve surgery is challenging due to the risk of bleeding, leading to complications and increased morbidity and mortality.
Objective:
To develop a risk score to predict bleeding in patients after valve surgery.
Methods:
Retrospective study of patients operated on between 2021 and 2022. Patients with major bleeding were selected based on the BARC and Bojar criteria. A logistic regression analysis was performed for factors related to bleeding and a nomogram of scores was created. For statistical significance, p<0.05 and a 95% confidence interval were considered. The study was approved by the CEP.
Results:
525 patients were analyzed, with a mean age of 56 years and a predominance of females. The most common valve disease was mitral insufficiency, 8.8% had increased bleeding and 4.3% had surgical reoperations. The variables with statistical significance were tricuspid insufficiency (OR 3.31, p < 0.001), chronic kidney disease/acute kidney injury (OR 2.97, p = 0.006), preoperative hemoglobin (OR 0.73, p < 0.001), reoperations (OR 2, 5, p = 0.003), cardiopulmonary bypass (CPB) time (OR 1.12, p < 0.001), 2-valve approach OR of 2.23 (p = 0.013), use of packed red blood cells OR of 2.8 (p = 0.001). In the multiple model, tricuspid insufficiency, CPB time and preoperative hemoglobin reached statistical significance.
Conclusion:
CPB time, preoperative hemoglobin and tricuspid insufficiency were independently associated with postoperative bleeding. The proposed scale is plausible and can help predict the risk of bleeding.
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