| Sumario: | Introduction: Postoperative pulmonary complications (PPCs) are a significant cause of morbidity and mortality following thoracic surgery. Early identification of at-risk patients allows for timely intervention and improved outcomes. Several risk stratification tools, such as the Assess Respiratory Risk in Surgical Patients in Catalonia (ARISCAT) score and Surgical Lung Injury Prediction (SLIP-2) model, have been developed to predict PPCs. However, their comparative performance in thoracic surgery patients remains unclear. Objective: To compare the predictive validity of the ARISCAT and SLIP-2 models in predicting the occurrence of PPCs in patients undergoing thoracic surgery. Design: Retrospective observational study. Setting: Medical records of patients who underwent thoracic surgery at Wahidin Sudirohusodo Hospital, Makassar, from January 2023 to December 2024. Results: A total of 96 thoracic surgery patients were included in this study, with an overall PPC incidence of 66.7%. The ARISCAT score demonstrated an area under the curve (AUC) of 0.743 (95% CI: 0.634-0.852), with a cut-off value of 40.50, yielding a sensitivity of 70.3%, specificity of 68.8%, and accuracy of 69.79%. The SLIP-2 model showed an AUC of 0.706 (95% CI: 0.634-0.852), with a cut-off value of 17.50, a sensitivity of 59.4%, a specificity of 65.6%, and an accuracy of 61.46%. Conclusion: Both the ARISCAT and SLIP-2 scores are useful tools for predicting PPCs in patients undergoing thoracic surgery. However, the ARISCAT score demonstrated superior predictive validity and accuracy compared to SLIP-2 in this cohort.
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