Key result
Data-driven risk tools like POTTER outperform traditional calculators in predicting high-risk emergency surgery outcomes.
Why the study?
This review explores advances in risk stratification tools and their applicability in identifying and managing high-risk emergency general surgery patients.
Do advanced risk assessment tools improve risk prediction in emergency general surgery patients with multimorbidity or frailty compared to traditional tools?
Do advanced risk assessment tools improve risk prediction in emergency general surgery patients with multimorbidity or frailty compared to traditional tools?
Integrating advanced, data-driven risk assessment tools like AI calculators can improve risk prediction and guide goal-concordant care in emergency general surgery patients with frailty or multimorbidity.
Answers are grounded in this paper and cite their sources.
May enhance risk prediction in frail emergency surgery patients; leaves open prospective validation before clinical adoption.
PURPOSE OF REVIEW: This review explores advances in risk stratification tools and their applicability in identifying and managing high-risk emergency general surgery (EGS) patients. RECENT FINDINGS: Traditional risk assessment tools have several limitations when applied to complex EGS patients as comorbidities are generally treated in a binary, linear and sequential fashion. Additionally, some tools are only usable in the postoperative period, and some require multidisciplinary involvement and are not suitable in an emergency setting. Frailty in particular - for which there are multiple calculators-maladaptively influences outcomes. Artificial intelligence tools, such as the machine-learning-based POTTER calculator, demonstrate superior performance by addressing nonlinear interactions among patient factors, offering a dynamic and more accurate approach to risk prediction. SUMMARY: Integrating advanced, data-driven risk assessment tools into clinical practice can help identify and manage high-risk patients as well as forecast outcomes for EGS patients. Such tools are intended to trigger preoperative interventions as well as discussions that ensure goal-concordant care, align expectations with anticipated outcomes and support both facility and patient-relevant outcomes.
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Arda et al. (2025) conducted a review in Emergency general surgery with multimorbidity or frailty. Advanced risk stratification tools (e.g., POTTER calculator) vs. Traditional risk assessment tools was evaluated. Advanced, data-driven risk assessment tools like the POTTER calculator demonstrate superior performance over traditional tools for predicting outcomes in high-risk emergency general surgery patients.
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