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

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.

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).

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)].

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.

Informed surgical consent requires accurate estimation of risks and benefits. Multiple risk assessment tools are available; however, most are not widely used or are specific to certain interventions. Assessing surgical risk is especially challenging in elderly patients because of their range of comorbidities, level of frailty, or severity of illness and a number of available surgical interventions.

We searched MEDLINE from January 2014 to July 2017 for studies that used risk assessment tools in studies on elderly surgical patients. We then sought the original articles describing each assessment tool and subsequent validation studies.

We identified risk assessment tools that can improve surgical risk assessment in elderly surgical patients. The majority of the identified tools are not commonly used for pre-operative risk assessment. NSQIP-PMP, mFI and SURPAS are promising tools. Age is commonly used to predict risk, but frailty may be a more appropriate measure.