Predictive Value of ARISCAT Risk Index in the Development of Postoperative Pulmonary Complications After Major Abdominal Cancer Surgery
Abstract
Objectives: The ARISCAT risk assessment score is a seven-variable regression model that divides patients into low, moderate, and high-risk groups in terms of developing postoperative pulmonary complications (PPC). In this study, we aimed to assess the predictive value of the ARISCAT score in major abdominal cancer surgery patients since they are considered to be vulnerable to postoperative complications.
Materials and Methods: A total of 410 patients aged >18 years old with American Society of Anesthesiologists (ASA) I-IV were included. Demographic data, body mass index, smoking status, ASA scores, preoperative hemoglobin levels, pulmonary disease history in the last 30 days, location of surgical incision (lower-upper abdominal), type of surgery (laparoscopic or open), emergency or elective, and operation times of patients were recorded.
Results: Age, smoking, higher ASA score, type of operation, preoperative pulmonary dysfunction, and higher ARISCAT scores were found to be related with PPC (p<0.05). A positive correlation was found between ARISCAT score and PPC (p<0.05). Elderly, lower preoperative SpO2, surgeries with upper incision site, emergency surgeries were found to be associated with increased risk of developing PPC. Age was found to have the strongest relationship among the variables.
Conclusion: We found that the ARISCAT risk score was a strong predictor of the development of PPC after major abdominal cancer surgery.
Keywords
Complications, postoperative, pulmonary, scoring methods
Ethical Statement
Ethical approval was obtained from the University of Health Sciences Türkiye, Ankara Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital Clinical Research Ethics Committee (approval no.: 2019-11/459, date: 20.11.201).
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