Validity of E-PASS System for Postoperative Morbidity of Spinal Surgery

Prediction of complications after laparoscopic partial nephrectomy: feasibility of E‑PASS score

PURPOSE

With significant advancements in laparoscopic procedures and tools over the last decade, the partial nephrectomy (PN) surgical approach has gradually transformed from open to laparoscopic partial nephrectomy (LPN). Although numerous studies evaluating the postoperative complications of laparoscopic partial nephrectomy can be found in the literature, a scoring system that addresses both preoperative physical condition and intraoperative risk factors has not yet been established. The Estimation of Physiological Ability and Surgical Stress (E-PASS) score is a scoring system that considers both the patient's preoperative condition and intraoperative variables to predict the risk of postoperative complications in surgically treated patients. This study aimed to assess the applicability of the E-PASS scoring system for predicting postoperative complications following LPN.

METHODS

We analyzed data of 196 patients who underwent LPN between 2017 and 2024 by a single surgeon in this single-center retrospective study. Demographic data of the patients, parameters reflecting patients' preoperative physical condition, and intraoperative risk factors were recorded. Postoperative complications were classified using the Clavien-Dindo system. The E-PASS score and its sub-scores were calculated for each patient.

RESULTS

Various degrees of complications developed in 46 patients (23.5%). Patients who developed complications had significantly higher mean age, performance scores, tumor sizes, length of hospital stay, and E-PASS values. The cutoff value of the E-PASS Comprehensive Risk Score (CRS) for predicting the development of postoperative complications was determined to be - 0.1692 (AUC = 0.676; 95% CI 0.581-0.771; p < 0.001). According to the results of the multivariate analysis, the presence of E-PASS CRS > - 0.1692 (OR 4.872; 95% CI 2.384-9.957; p < 0.001) and tumor size (OR 1.021; 95% CI 1-1.041; p = 0.047) was identified as independent risk factors predicting postoperative complications. Patients with a CRS higher than the cutoff value had a 4.87 times higher rate of postoperative complications after LPN.

CONCLUSION

The E-PASS scoring model successfully predicts postoperative complications in patients undergoing LPN by utilizing preoperative data on the patient's physical condition and surgical risk factors. The E-PASS score and its sub-scores can serve as objective criteria to determine the risk of postoperative complications both preoperatively and immediately postoperatively.

Evaluating postoperative complications in standard percutaneous nephrolithotomy for renal stones larger than 2 cm: a retrospective study utilizing the E-PASS scoring system

Percutaneous nephrolithotomy (PCNL) is a widely preferred method for treating complex kidney stones, particularly in patients with larger or more complicated stones. Despite its advantages, such as minimal invasiveness and a shorter recovery time, postoperative complications can occur, thereby necessitating effective risk assessment tools to identify at-risk patients. This study evaluated the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system's utility in predicting postoperative complications following standard PCNL. This retrospective study included 218 patients who underwent standard PCNL from June 2020 to August 2024 at our institution. Data on demographics, comorbidities, and perioperative factors were collected and analyzed. Postoperative complications were classified using the modified Clavien-Dindo system. The E-PASS scoring system, which incorporates the Preoperative Risk Score (PRS), Surgical Stress Score (SSS), and Comprehensive Risk Score (CRS), was applied to stratify risk. Postoperative complications occurred in 38 patients (17.4%). Significant predictors included advanced age, higher American Society of Anesthesiologists (ASA) scores, and comorbidities like diabetes and coronary artery disease. Intraoperative factors, such as prolonged operative times, number of access and greater blood loss, were also associated with complications. Multivariate analysis identified higher CRS and greater stone burden as independent predictors (p = 0.012 and p = 0.037, respectively). The CRS demonstrated moderate discrimination, with an area under the curve (AUC) of 0.747. The E-PASS scoring system effectively predicts postoperative complications in PCNL, underscoring the importance of thorough preoperative and intraoperative evaluation. Future studies should explore its broader applicability across other urological procedures.

The Evolution of Risk Assessment in Spine Surgery: A Narrative Review

BACKGROUND

Risk assessment is critically important in elective and high-risk interventions, particularly spine surgery. This narrative review describes the evolution of risk assessment from the earliest instruments focused on general surgical risk stratification, to more accurate and spine-specific risk calculators that quantified risk, to the current era of big data.

METHODS

The PubMed and SCOPUS databases were queried on October 11, 2023 using search terms to identify risk assessment tools (RATs) in spine surgery. A total of 108 manuscripts were included after screening with full-text review using the following inclusion criteria: 1) study population of adult spine surgical patients, 2) studies describing validation and subsequent performance of preoperative RATs, and 3) studies published in English.

RESULTS

Early RATs provided stratified patients into broad categories and allowed for improved communication between physicians. Subsequent risk calculators attempted to quantify risk by estimating general outcomes such as mortality, but then evolved to estimate spine-specific surgical complications. The integration of novel concepts such as invasiveness, frailty, genetic biomarkers, and sarcopenia led to the development of more sophisticated predictive models that estimate the risk of spine-specific complications and long-term outcomes.

CONCLUSIONS

RATs have undergone a transformative shift from generalized risk stratification to quantitative predictive models. The next generation of tools will likely involve integration of radiographic and genetic biomarkers, machine learning, and artificial intelligence to improve the accuracy of these models and better inform patients, surgeons, and payers.

Feasibility of E-PASS score to predict postoperative complications in laparoscopic nephrectomy

PURPOSE

To evaluate the usefulness of E-PASS score to predict postoperative complications after laparoscopic nephrectomy.

METHODS

Between 2008 and 2020, 424 patients (179 patients: simple nephrectomy, 158 patients: radical nephrectomy, 87 patients: donor nephrectomy) who underwent laparoscopic nephrectomy in our clinic, were included in the study. Patient groups separated according to the presence of postoperative complications were compared retrospectively regarding demographic, clinical, intraoperative, and postoperative data, comorbidities, and E-PASS scores (PRS, SSS, and CRS). The relationship between postoperative complications and E-PASS scores was examined.

RESULTS

Postoperative complications occurred in 43 (10.1%) of the patients. Age, previous abdominal/retroperitoneal surgery, radical nephrectomy rate of surgeries, operation time, amount of bleeding, need for blood transfusion, rate of conversion from laparoscopic surgery to open surgery, hospitalization time, E-PASS PRS, SSS, and CRS were statistically significantly higher in the group with postoperative complications. The cutoff value of the E-PASS CRS was - 0.2996 to predict the development of postoperative complications (AUC = 0.706; 95% CI 0.629-0.783; p < 0.001). According to multivariate analysis, presence of previous abdominal/retroperitoneal surgery (OR 2.977; 95% CI 1.502-5.899; p = 0.002), laparoscopic radical nephrectomy (OR 2.518; 95% CI 1.224-5.179; p = 0.012), conversion from laparoscopic surgery to open surgery (OR 4.869; 95% CI 1.046-22.669; p = 0.044) and E-PASS CRS > - 0.2996 (OR 2.816; 95% CI 1.321-6.004; p = 0.007) were found to be independent risk factors predicting postoperative complications.

CONCLUSION

The E-PASS scoring system is an effective and convenient system for predicting postoperative complications after laparoscopic nephrectomy.

The use of the E-PASS scoring system in determining complication development in patients with isolated acetabular fractures

BACKGROUND

The decision to treat acetabular fractures is occasionally deferred or foregone in patients perceived to be unfit for surgery. The previously validated estimation of physiologic ability and surgical stress (E-PASS) score has been shown to predict outcome in a variety of fractures, and consists of a preoperative risk score (PRS), a surgical stress score (SSS), and a comprehensive risk score (CRS).

PURPOSE

To correlate E-PASS and its components with postoperative complication to quantify risk for individual surgical and patient factors in acetabular fracture management.

METHODS

A retrospective review of patient records was performed for all patients with acetabular fractures surgically treated between January 2013 and June 2018 in a level 1 Trauma Centre. Patients with multiple injuries and/or malignancies were excluded. E-PASS scores were determined with standard demographic data and subscores were correlated with complication development.

RESULTS

Of the included 106 patients (mean age 61 years, range 17-93), complications were reported in 37 (34.9%) patients and 3 (2.8%) died. Hospital postoperative morbidity and mortality rates increased significantly with the PRS and CRS. The SSS did not correlate significantly with frequency of complications. Age was found to be the only significant independent risk factor (p value = 0.031, OR = 1.03 per year of age).

CONCLUSION

Latent patient factors have a clear influence on adverse outcomes in contrast to controllable factors such as surgical stress indicating an important role for perioperative care in reducing postoperative complications. Integrated orthogeriatric care with assessment of comorbidities, prevention or early recognition, and treatment of perioperative complications is essential.

Role of Frailty Scoring in the Assessment of Perioperative Mortality in Surgical Management of Tuberculous Spondylodiscitis in the Elderly

STUDY DESIGN

Retrospective study.

OBJECTIVES

Treatment of spinal tuberculosis in the elderly involves consideration of compromised physiology, which often poses a clinical challenge to the surgeons to balance surgical safety versus deteriorating function. Frailty scoring has been reported as an effective tool to predict mortality and morbidity in cardiovascular surgery and recently in hip fractures. Its use in spinal surgery is scarcely reported.

METHODS

We included elderly patients operated for spinal tuberculosis. Demographic, clinical and radiological profile with operative details of instrumentation, blood loss, surgical duration and mortality were noted. Modified frailty score (MFS) was calculated for each patient. There were 26 patients (males 9, females 17) with a mean age of 73.2 years. The patients were divided into those with 30-day postoperative mortality (M) and those who survived (S). The null hypothesis was that the MFS was comparable in both the groups.

RESULTS

The M group had 5 patients (19.2%) and the S group consisted of 21 patients. There was no statistical difference between the groups with regard to mean age, sex, number of medical comorbidities, ASA (American Society of Anesthesiologists) grade, Frankel grade C or worse, blood loss, and operative time. The mean MFS in M group was 5 and in S group was 1.8, which was statistically significant (P < .001).

CONCLUSIONS

Higher MFS is associated with postoperative 30-day mortality in the elderly patients with spinal tuberculosis undergoing surgery. It can be used as a guide to predict 30-day postoperative mortality in these patients.

Risk factors of perioperative complications for posterior spinal fusion in degenerative scoliosis patients: a retrospective study

Backgrounds

Rare study has been conducted to detect risk factors of perioperative complications, which are closely related to preoperative status of the patients and surgical stress. The aim of this study is to detect these relationships in degenerative scoliosis (DS) patients.

Methods

Perioperative complications of 226 cases with DS (56 males and 170 females; 65.5 ± 8.1 years old), who accepted posterior fusion in our hospital from January, 2013 to July, 2017, were retrospectively reviewed. Potential risk factors were first compared between patients with or without perioperative complications using student t test or Chi-squared test. Then, the unevenly distributed variables between the two groups were analyzed with binary logistic regression model.

Results

All patients separately underwent decompression with short limited instrumentation (116, 51.3%) or with long instrumentation for correction (110, 48.7%). The mean operation duration (OD) was 216.9 ± 64.2 min and the average amount of bleeding was 587.4 ± 357.2 ml. 44 cases (19.5%)suffered from the complications during the perioperative phase, including incision complications (5.3%), urinary infection (3.5%), dura tears/cerebrospinal fluid (CSF) leakages (3.5%) and new neurological deficits (2.7%). Hospital stay was significantly extended for the complications (p < 0.001). Univariate analysis showed that OD (p < 0.001), bleeding (p = 0.014), American Standards Association (ASA) grade > 2 (p = 0.011) and RBC transfusion≥4 U(p = 0.028) were associated with these complications. Multivariate logistic regressions revealed that only ASA grade > 2(p = 0.011, Odds Ratio[OR] = 4.104, 95% Confidence Interval[CI] = 1.413~ 11.917) and OD (p = 0.013, OR = 2.697, 95% CI = 1.233~ 5.899) were the independent risk factors.

Conclusions

The high morbidity of perioperative complications for posterior spinal fusion would significantly extend hospital stay of DS patients. It was independently related to higher ASA grade and longer OD.