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Mortality risk scoring in emergency general surgery: Are we using the best tool?
Azeem Thahir1, Rui Pinto-Lopes1, Stavroula Madenlidou1
1Department of General Surgery of 2592Colchester Hospital University NHS Foundation Trust, Colchester, UK.
The National Emergency Laparotomy Audit (NELA) score is a better predictor of mortality in emergency laparotomy patients than the P-POSSUM score. NELA demonstrated superior discrimination, while P-POSSUM tended to overestimate risk.
Area of Science:
- Surgical Outcomes Research
- Clinical Risk Stratification
- Emergency Medicine
Background:
- Accurate preoperative risk assessment is crucial for patients undergoing emergency laparotomy.
- The Portsmouth-Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity (P-POSSUM) is a widely used risk assessment tool.
- The National Emergency Laparotomy Audit (NELA) score is a novel, validated alternative, but direct comparison with P-POSSUM is lacking.
Purpose of the Study:
- To compare the predictive accuracy of the NELA score and the P-POSSUM score for mortality in patients undergoing emergency laparotomy.
- To determine which scoring system provides superior discrimination for predicting death.
Main Methods:
- Analysis of 650 patient entries from the NELA online database over 4.5 years.
- Assessment of model calibration using the Hosmer-Lemeshow goodness of fit test.
- Non-parametric receiver operator characteristic (ROC) analysis to evaluate discriminative power for mortality.
Main Results:
- The NELA score exhibited higher discriminative power for mortality (C-index = 0.818) compared to the P-POSSUM score (C-index = 0.769).
- Observed mortality rate was 9.1% (59 deaths).
- P-POSSUM predicted 15.2% mortality, while NELA predicted 7.8% mortality.
Conclusions:
- The NELA score demonstrates good discrimination for predicting mortality in the emergency laparotomy cohort.
- P-POSSUM over-predicted observed mortality, whereas the NELA score under-predicted observed mortality.
- NELA score is a more accurate predictor of mortality in this patient population.
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