Using the E-PASS scoring system to estimate the risk of emergency abdominal surgery in patients with acute gastrointestinal disease

Estimation of Physiologic Ability and Surgical Stress scoring system for predicting complications following abdominal surgery: A meta-analysis spanning 2004 to 2022

BACKGROUND

Postoperative complications remain a paramount concern for surgeons and healthcare practitioners.

AIM

To present a comprehensive analysis of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) scoring system's efficacy in predicting postoperative complications following abdominal surgery.

METHODS

A systematic search of published studies was conducted, yielding 17 studies with pertinent data. Parameters such as preoperative risk score (PRS), surgical stress score (SSS), comprehensive risk score (CRS), postoperative complications, postoperative mortality, and other clinical data were collected for meta-analysis. Forest plots were employed for continuous and binary variables, with χ2 tests assessing heterogeneity (P value).

RESULTS

Patients experiencing complications after abdominal surgery exhibited significantly higher E-PASS scores compared to those without complications [mean difference and 95% confidence interval (CI) of PRS: 0.10 (0.05-0.15); SSS: 0.04 (0.001-0.08); CRS: 0.19 (0.07-0.31)]. Following the exclusion of low-quality studies, results remained valid with no discernible heterogeneity. Subgroup analysis indicated that variations in sample size and age may contribute to heterogeneity in CRS analysis. Binary variable meta-analysis demonstrated a correlation between high CRS and increased postoperative complication rates [odds ratio (OR) (95%CI): 3.01 (1.83-4.95)], with a significant association observed between high CRS and postoperative mortality [OR (95%CI): 15.49 (3.75-64.01)].

CONCLUSION

In summary, postoperative complications in abdominal surgery, as assessed by the E-PASS scoring system, are consistently linked to elevated PRS, SSS, and CRS scores. High CRS scores emerge as risk factors for heightened morbidity and mortality. This study establishes the accuracy of the E-PASS scoring system in predicting postoperative morbidity and mortality in abdominal surgery, underscoring its potential for widespread adoption in effective risk assessment.

Estimation of V-POSSUM and E-PASS Scores in Prediction of Acute Kidney Injury in Patients after Elective Open Abdominal Aortic Aneurysm Surgery

BACKGROUND

V-POSSUM and E-PASS scoring systems are usually used to predict morbidity and early mortality in surgical patients. We conducted this study to assess the validity of the V-POSSUM and E-PASS scores in predicting risk of acute kidney injury (AKI) development in patients undergoing elective open abdominal aortic aneurysm (AAA) repair.

METHODS

We studied a consecutive series of 171 patients with AAA, qualified for elective open infrarenal repair. Patients underwent a thorough examination, and the physiological and surgical stress components of the V-POSSUM and E-PASS scores were calculated. The classification of patients in terms of postoperative AKI was performed in accordance with KDIGO criteria.

RESULTS

AKI was recognized in 62 patients. In these patients, we found significantly higher physiological and surgical stress components of V-POSSUM and E-PASS scores in relation to patients without AKI. ROC analysis showed that the E-PASS score with a cutoff point ≥0.796 and the V-POSSUM score (morbidity) with a cutoff point ≥77.2% with sensitivity of 75.8% and 74.2%, respectively, and with specificity of 83.5% for both, identified patients with postoperative AKI.

CONCLUSIONS

V-POSSUM and E-PASS scores have similar good properties in predicting postoperative AKI in patients undergoing elective open AAA repair.

Assessing the risk: Scoring systems for outcome prediction in emergency laparotomies

Emergency laparotomy is the commonest emergency surgical procedure in most hospitals and includes over 400 diverse surgical procedures. Despite the evolution of medicine and surgical practices, the mortality in patients needing emergency laparotomy remains abnormally high. Although surgical risk assessment first started with the ASA Physical Status score in 1941, efforts to find an ideal scoring system that accurately estimates the risk of mortality, continues till today. While many scoring systems have been developed, no single scoring system has been validated across multiple centers and geographical locations. While some scoring systems can predict the risk merely based upon preoperative findings and parameters, some rely on intra-operative assessment and histopathology reports to accurately stratify the risk of mortality. Although most scoring systems can potentially be used to compare risk-adjusted mortality across hospitals and amongst surgeons, only those which are based on preoperative findings can be used for risk prognostication and identify high-risk patients before surgery for an aggressive treatment. The recognition of the fact, that in the absence of outcome data in these patients, it would be impossible to evaluate the impact of quality improvement initiatives on risk-adjusted mortality, hospital groups and surgical societies have got together and started to pool data and analyze it. Appropriate scoring systems for emergency laparotomies would help in risk prognostication, risk-adjusted audit and assess the impact of quality improvement initiative in patient care across hospitals. Large multi-centric studies across varied geographic locations and surgical practices need to assess and validate the ideal and most apt scoring system for emergency laparotomies. While APACHE-II and P-POSSUM continue to be the most commonly used scoring system in emergency laparotomies,studies need to compare them in their ability to predict mortality and explore if either has a higher sensitivity and specificity than the other.

Risk factors for postoperative complications in patients on maintenance hemodialysis who undergo abdominal surgery

BACKGROUND/OBJECTIVE

Patients on hemodialysis (HD) who undergo abdominal surgery for gastrointestinal disease are at increased risk of postoperative complications. In this study, we retrospectively investigated the predictors of postoperative complications among such patients.

METHODS

The study group comprised 36 HD patients who underwent abdominal surgery for gastrointestinal disease between 2003 and 2012. The clinicopathological factors of the patients who did and did not suffer postoperative complications were compared.

RESULTS

The overall morbidity and mortality rates were 39% (14/36) and 14% (5/36), respectively. Physical status according to the American Society of Anesthesiologists (ASA) classification (p = 0.0203) and intraoperative blood loss (p = 0.0013) were found to differ significantly between the groups.

CONCLUSION

The morbidity and mortality rates of HD patients who underwent abdominal surgery for gastrointestinal disease were high. Physical status according to the ASA classification and intraoperative blood loss were found to be associated with postoperative complications. Therefore, patients with comorbidities, such as heart disease and diabetes mellitus, have to be treated appropriately before surgery. In addition, it is important that surgeons perform operations carefully and avoid excessive blood loss.

Validation of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score for maintenance hemodialysis patients undergoing elective abdominal surgery

AIMS

This study assessed the validity of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score in maintenance hemodialysis patients undergoing elective abdominal surgery.

METHODS

We retrospectively reviewed the medical records of 73 hemodialysis patients who underwent elective gastrointestinal surgery. The main outcomes analyzed were the E-PASS score and postoperative course, which were defined by mortality and morbidity. The discriminative capability of the E-PASS score was evaluated using receiver operating characteristic (ROC) curve analysis.

RESULTS

The overall mortality rate observed was 2.7% (2 patients) and the morbidity rate was 36.9%. There were no significant differences in the comprehensive risk score, preoperative score or surgical stress score for patients with or without complications (p = 0.556, 0.639 and 0.168, respectively). Subsequent ROC curve analysis demonstrated poor predictive accuracy for morbidity. When the results in our study population were compared with those in Haga's study population, our population exhibited a highly significant rightward shift (p < 0.001).

CONCLUSION

The E-PASS score was a poor predictor of complications because maintenance hemodialysis patients already have relatively high risk factors. This scoring system should not be applied in such a special group with high risk factors.

Predictors of septic shock following anastomotic leak after major gastrointestinal surgery: An audit from a tertiary care institute

Background:

Anastomotic leak is a serious complication after major gastrointestinal surgery and majority of deaths occur due to septic shock. Therefore, the early identification of risk factors of septic shock may help reduce the adverse outcomes.

Objective:

The aim of this audit was to determine the predictors of septic shock in patients with anastomotic leak after major gastrointestinal surgery.

Design:

Retrospective, audit.

Materials and Methods:

The patients admitted in the gastrosurgical intensive care unit ICU) of our institute between September 2009 and April 2012 with anastomotic leakage after surgery were identified. The ICU charts were retrieved from the database to identify the patients progressing to septic shock. A comparison of risk factors was made between the patients who developed septic shock (septic shock group) against the patients who did not (non-septic shock group).

Results:

The study sample comprised of 103 patients with anastomotic leak, of which 72 patients developed septic shock. The septic shock group had a higher APACHE II score, lower MAP, and higher HR at the time of ICU admission. They received greater transfusion of packed red blood cells during their ICU stay. Septic shock was more common after pancreaticojejunostomy and hepaticojejunostomy leaks.

Conclusion:

Presence of malignancy, chronic obstructive pulmonary disease (COPD), packed red blood cell transfusion, bacteremia, and hepaticojejunostomy or pancreaticojejunostomy leaks were independent predictors of mortality and length of ICU stay. To the best of our knowledge there are no available studies in the literature on the predictors of risk factors of septic shock in patients with anastomotic leakage.

Development and validation of the Calculation of post-Operative Risk in Emergency Surgery (CORES) model

PURPOSE

This study was undertaken to establish a model to predict the post-operative mortality for emergency surgeries.

METHODS

A regression model was constructed to predict in-hospital mortality using data from a cohort of 479 cases of emergency surgery performed in a Japanese referral hospital. The discrimination power of the current model termed the Calculation of post-Operative Risk in Emergency Surgery (CORES), and Portsmouth modification of the Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (P-POSSUM) were validated using the area under the receiver operating characteristic curve (AUC) in another cohort of 494 cases in the same hospital (validation subset). We further evaluated the accuracy of the CORES in a cohort of 1,471 cases in six hospitals (multicenter subset).

RESULTS

CORES requires only five preoperative variables, while the P-POSSUM requires 20 variables. In the validation subset, the CORES model had a similar discrimination power as the P-POSSUM for detecting in-hospital mortality (AUC, 95 % CI for CORES: 0.86, 0.80-0.93; for P-POSSUM: 0.88, 0.82-0.93). The predicted mortality rates of the CORES model significantly correlated with the severity of the post-operative complications. The subsequent multicenter study also demonstrated that the CORES model exhibited a high AUC value (0.85: 0.81-0.89) and a significant correlation with the post-operative morbidity.

CONCLUSIONS

This model for emergency surgery, the CORES, demonstrated a similar discriminatory power to the P-POSSUM in predicting post-operative mortality. However, the CORES model has a substantial advantage over the P-POSSUM in that it utilizes far fewer variables.

Outcomes of emergency surgery for acute abdomen in dialysis patients: experience of a single community hospital

PURPOSE

Long-term dialysis often causes physiological and metabolic problems that may affect the outcomes of surgery. The aim of this study was to elucidate whether emergency surgery for acute abdomen yields similar outcomes in dialysis patients versus non-dialysis patients.

METHODS

The subjects were 126 patients who underwent emergency surgery for acute abdomen between January, 2007 and November, 2011 in our hospital. They were divided into a dialysis group (HD group; n = 9) and a non-dialysis group (non-HD group; n = 117) and their postoperative morbidity and mortality were compared.

RESULTS

Postoperative morbidity and mortality were significantly worse in the HD group. All 9 of these patients succumbed to postoperative complications versus only 5 of the 117 patients in the non-HD group.

CONCLUSION

The outcomes of emergency surgery for acute abdomen were significantly worse for dialysis patients than for non-dialysis patients. Prompt diagnosis, initiation of the most suitable surgical procedure, and meticulous postoperative cares are imperative to improving the surgical outcomes of dialysis patients.