KEY TAKEAWAYS
- The study aimed to investigate the effectiveness of the E-PASS score in predicting postoperative complications in patients undergoing RARP.
- Researchers noticed that the E-PASS scoring model effectively predicts postoperative complications.
Robot-Assisted Radical Prostatectomy (RARP) is increasingly becoming the standard surgical treatment for prostate cancer. While some risk factors for postoperative complications of RARP have been identified, no scoring model that incorporates both preoperative physical status of the patient and intraoperative risk factors has been developed. The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score was initially described to predict postoperative complications after gastrointestinal surgical procedures.
Süleyman Bulut and the team aimed to assess the effectiveness of the E-PASS score in predicting postoperative complications of RARP.
Researchers performed an inclusive analysis on 204 patients who underwent RARP between 2019 and 2022. Demographic data, parameters indicating patients’ preoperative physical condition, and intraoperative risk factors were analyzed. The E-PASS score and subscores were calculated for each patient to evaluate their effectiveness in predicting postoperative complications.
About 164 patients (80.4%) were discharged without any postoperative complications (Group 1), and 40 patients (19.6%) experienced various degrees of complications (Group 2). Patients in Group 2 had higher rates of previous abdominal surgery, elevated Eastern Cooperative Oncology Group (ECOG) performance scores, longer surgical durations, and higher E-PASS scores.
To assess the effectiveness of the Comprehensive Risk Score (CRS) as a predictive factor for postoperative complications, a receiver operating characteristic (ROC) curve was constructed with a 95% confidence interval (CI), and a cut-off value was established. The cut-off value for CRS was determined to be -0.0345 (AUC=0.783, CI: 0.713-0.853; P<0.001). Patients with a CRS higher than the cut-off value had a 16.4 times higher rate of postoperative complications after RARP (95% CI: 5.58-48.5).
The study concluded that the E-PASS scoring model effectively predicts postoperative complications in patients undergoing RARP, leveraging preoperative patient physical status and surgical risk factors. The E-PASS score and its subscores offer objective criteria for assessing the risk of complications both before and immediately after surgery.
No funding information was provided.
Source: https://pubmed.ncbi.nlm.nih.gov/38863296/
Bulut S, Kizilkan Y, Gültekin H, et al. (2024). “Efficiency of the estimation of physiologic ability and surgical stress (E-PASS) score in predicting postoperative complications after robot-assisted radical prostatectomy.” Ulus Travma Acil Cerrahi Derg. 2024 Jun;30(6):423-429. English. doi: 10.14744/tjtes.2024.36332. PMID: 38863296.
