Frailty Assessment Can Enhance Current Risk Prediction Tools in Emergency Laparotomy: A Retrospective Cohort Study

We set out to assess the performance of the P-POSSUM and NELA risk prediction tool (NELA RPT), and hypothesized that combining them with the Clinical Frailty Scale (CFS) would significantly improve their performance. Emergency laparotomy (EL) is a high-risk surgical intervention, particularly for elderly patients with marked comorbidities and frailty. Accurate risk prediction is crucial for appropriate resource allocation, clinical decision making, and informed consent. Although patient frailty is a significant risk factor, the current risk prediction tools fail to take frailty into account.

In this retrospective single-center cohort study, we analyzed all cases entered into the NELA database from the Oxford University Hospitals between 01.01.2018 and 15.06.2021. We analyzed the performance of the P-POSSUM and NELA RPT. Both tools were modified by adding the CFS to the model.

The discrimination of both the P-POSSUM and NELA RPT was good, with a slightly worse performance in the elderly. Adding CFS into the P-POSSUM and NELA RPT models improved both tools in the elderly [AUC from 0.775 to 0.846 (p < 0.05) from 0.814 to 0.864 (p < 0.05), respectively]. The improvement of the NELA RPT across all age groups did not reach statistical significance. The CFS grade was associated with 30-day mortality in patients aged > 65 years. However, in younger patients, this effect was less marked than in the elderly.

Our analysis demonstrated a significant improvement in the P-POSSUM and NELA risk models when combined with the CFS. Frailty also increases the 30-day mortality after EL in younger individuals.