THE ROLE OF ARISCAT SCORE IN PREDICTING POSTOPERATIVE PULMONARY COMPLICATIONS
Main Article Content
Abstract
Background: Postoperative pulmonary complications (PPCs) are the main causes increase mortality, length of hospital stay, and cost after surgery. ARISCAT score is a valuable tool to evaluate risks for PPCs. Objectives: To determine the proportion of PPCs and evaluate the role of ARISCAT helps in predicting PPCs. Materials and methods: a prospective cross-sectional study was conducted of all patients who were treated in general surgery and traumatology departments at Can Tho University of medicine and pharmacy. Results: The study was collected on 358 patients with an average age of 53.8 ± 17.5, and had 9.50% of patients recorded postoperative respiratory disease. The rate of postoperative respiratory complications was 10.1%, among them, respiratory failure was the most common complication (66.67%). The rate of respiratory complications postsurgery increased gradually according to the risk level of the ARISCAT score, and the higher the risk, the more complications: the rate of complications in the low-risk group was 1.53%; mediumhigh was 98.47%. And the ARISCAT score had good prognostic value for postoperative respiratory complications with AUC value: 87.5% (95% CI: 81.5% - 93.6%), sensitivity: 88, 89%, specificity: 80.12%, positive predictive value: 33.33% and negative predictive value: 98.47%. And there was no difference in the AUC value in the general study population compared with the group with and without underlying respiratory disease. Conclusions: The ARISCAT score had a good prognostic value for postoperative respiratory complications. Although there were no clear criteria for patients with specific respiratory diseases, the ARISCAT score was highly sensitive and had a good predictive value in the patients with respiratory diseases.
Keywords
postoperative pulmonary complications, ARISCAT, respiratory failure
Article Details
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