| dc.description.abstract | Title. Preoperative Prediction of Pneumonia after CABG surgery; a retrospective cohort
study.
Introduction. Pulmonary care is an important part of the postoperative care after Coronary
Artery Bypass Graft (CABG) surgery since pulmonary functions decreases significantly.
Pulmonary dysfunction and associated complications are the major cause of increased
morbidity, mortality and hospital length of stay in the period following cardiac CABG surgery.
Aim. The aim of this study is to develop a prognostic model that predicts the likelihood of
developing pneumonia after CABG Surgery.
Research questions.
1. Which preoperative factors can predict the occurrence of pneumonia in patients who
undergo coronary artery bypass surgery?
2. Which set of prognostic factors will be adopted in the risk-model, in order to predict the
likelihood of developing pneumonia after coronary artery bypass surgery?
Method. We conducted a retrospective cohort study on patients who underwent CABG
surgery. Two datasets were used developed in different time periods. Because the datasets
contained unique variables, after merging the datasets missing values occurred. Multiple
imputation (MI) was applied as a solution for this problem. Prognostic factors were determent
by the use of backward elimination.
Results. A multivariate analysis was performed and three variables were identified and
adopted into the prognostic model, respectively productive cough, FEV1 (forced expiratory
volume) and recent myocardial infarction.
Conclusion. A prognostic model predicting the likelihood of developing pneumonia after
CABG surgery has been developed. The benefit of this model is that it can be used in the
preoperative period. Therefore interventions can be taken adequately to prevent pneumonia
after CABG surgery.
Recommendations. A validation study to validated the models’ performance in new
individuals. | |
