Predictive Factors Involved in Development of Postoperative Pulmonary Complications.

OBJECTIVE In the present study, we applied the method of the multi-center Prospective Evaluation of a Risk Score for postoperative pulmonary Complications in Europe (PERISCOPE) study, which was designed to predict postoperative complications and funded by the European Society of Anaesthesiology, to patients in our institution with the aim of prospectively analyzing the postoperative risk factors of pulmonary complications. METHODS One hundred patients over 18 years of age who had emergency or elective non-thoracic or non-obstetric surgery under general anaesthesia or neuraxial blocks were included in the study. Collected data regarding the preoperative and postoperative period were filled in separate forms for all patients. RESULTS A total of 11 patients developed pulmonary complications. We observed respiratory failure in 8 patients, pleural effusion in 3 patients, atelectasis in 5 patients, bronchospasm in 3 patients, and pneumothorax in 1 patient. In the univariate logistic regression model, patient age, gender, weight, rate of preoperative respiratory symptoms, cough test results, American Society of Anesthesiology (ASA) score, and the duration of surgery did not significantly increase the complication risk (p>0.05). However, in the univariate logistic regression model, the presence of respiratory symptoms increased the risk for complications approximately 5.34-fold (p=0.014). There was an increase in the possibility of complications in parallel with the increase in the duration of postoperative hospital stay (p=0.012). More respiratory symptoms (p=0.019) and longer hospital stay (6.5 vs. 3.5 days respectively, p=0.029) were recorded in patients with postoperative pulmonary complications. CONCLUSION Considering patients undergoing non-thoracic or non-obstetric surgery, the prevalence of postoperative pulmonary complications is higher in patients diagnosed with respiratory symptoms in the preoperative period. These complications significantly extend the length of hospital stay.