Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting
| Autor: | João Carlos Vieira da Costa Guaragna, Rodrigo Bodanese, João Batista Petracco, Mario Bernardes Wagner, Luciano Cabral Albuquerque, Luiz Carlos Bodanese, Fernanda Dallazen-Sartori, Ellen Hettwer Magedanz |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment 02 engineering and technology Coronary Artery Disease Logistic regression Coronary artery disease Risk Factors Internal medicine 0202 electrical engineering electronic engineering information engineering medicine Myocardial Revascularization Probability Mechanical ventilation Framingham Risk Score business.industry Thoracic Surgery 020206 networking & telecommunications medicine.disease Respiration Artificial Cardiac surgery medicine.anatomical_structure Cardiothoracic surgery Cardiology 020201 artificial intelligence & image processing business Historical Cohort Artery |
| Zdroj: | International Journal of Cardiovascular Sciences, Volume: 34, Issue: 3, Pages: 264-271, Published: 08 JAN 2021 International Journal of Cardiovascular Sciences v.34 n.3 2021 International Journal of Cardiovascular Sciences Sociedade Brasileira de Cardiologia (SBC) instacron:SBC International Journal of Cardiovascular Sciences, Issue: ahead, Published: 08 JAN 2021 |
| Popis: | Background Prolonged mechanical ventilation (MV) after cardiac surgery imposes a significant burden on the patient in terms of morbidity and financial hospital costs. Objective To develop a risk score model to predict prolonged MV in patients undergoing coronary artery bypass grafting (CABG) surgery. Methods This was a historical cohort study of 4165 adult patients undergoing CABG between January 1996 and December 2016. MV for periods ≥ 12 hours was considered prolonged. Logistic regression was used to examine the relationship between risk predictors and prolonged MV. The variables were scored according to the odds ratio. To build the risk score, the database was randomly divided into 2 parts: development data set (2/3) with 2746 patients and internal validation data set (1/3) with 1419 patients. The final score was validated in the total database and the model's accuracy was tested by performance statistics. Significance was established at p < 0.05. Results Prolonged MV was observed in 783 (18.8%) patients. Predictors of risk were age ≥ 65 years, urgent/emergency surgery, body mass index ≥ 30 kg/m2, chronic kidney disease, chronic obstructive pulmonary disease, and cardiopulmonary bypass time ≥ 120 minutes. The area under the ROC curve was 0.66 (95% CI, 0.64-0.68; p |
| Databáze: | OpenAIRE |
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