Skip to content
Open access

TPW 4.02 Correlation Between Observed Mortality and NELA, ACS NSQIP and SORT Predicted 30-Day Mortality in Romania: A Retrospective Multicentre Observational Cohort Study

Aug 2026 · British Journal of Surgery · Vol 113 · 0 citations

TL;DR

All models correlated with 30-day mortality, yet validation showed strong discrimination alongside markedly variable calibration, yet validation showed strong discrimination alongside markedly variable calibration.

Abstract

Emergency laparotomy (EL) is associated with substantial postoperative mortality, with reported 30-day mortality (30-dm) rates of 8–18% in unselected adults. Although 30-dm risk models are widely used, their validation and implementation in Eastern European healthcare systems remain limited. This study evaluated the correlation between observed 30-dm and that predicted by the National-Emergency-Laparotomy-Audit (NELA), the American-College-of-Surgeons-National-Surgical-Quality-Improvement-Program (ACS-NSQIP), and the Surgical-Outcome-Risk-Tool (SORT) in Romania. This was a retrospective, multicentre cohort study spanning 2 years and included all adults ≥18 years undergoing EL at 4 acute care hospitals in North Eastern Romania, including one tertiary centre. The primary outcome was defined as the correlation between actual 30-dm and NELA, ACS-NSQIP or SORT predicted 30-dm. To strengthen transparency and reproducibility, the study adhered to the TRIPOD checklist. Statistical analysis was performed using GraphPad Prism v10.6.1. 793 cases were analysed. Median age was 69 (57,77) years, with M/F ratio of 1.27, ASA grade 3 (3,4), Clinical-Frailty-Score 5 (4,6), and Charlson Comorbidity Index 5 (3,7). Actual 30-dm was 21.68%. Predicted and correlated mortality estimates were: NELA 31.4% (16.6,56.1), R²=0.38, AUC=0.8968, p<0.0001; ACS-NSQIP unadjusted 8.00% (1.5,24.8), R²=0.49, AUC=0.9226, p<0.0001; ACS-NSQIP risk somewhat higher 19.0% (9.4,29.6), R²=0.43, AUC=0.8992, p<0.0001; ACS-NSQIP risk significantly higher 26.9% (12.7,34.9), R²=0.32, AUC=0.8474, p<0.0001; and SORT 10.1% (3.8,26.1), R²=0.21, AUC=0.8139, p<0.0001. Data are presented as median±IQR. All models correlated with 30-day mortality, yet validation showed strong discrimination alongside markedly variable calibration.

Read PDF

Similar papers

Open access Sep 2026

Prehospital qSOFA Is Associated with 30-Day Mortality Within Emergency Department Triage Strata in Ambulance-Transported Adults with Suspected Infection: An Exploratory Three-Year Retrospective Cohort Study

Background/Objectives: Prehospital quick Sequential Organ Failure Assessment (qSOFA) screens poorly for sepsis, but an already-recorded field score may still inform the receiving physician. We asked whether it is associated with 30-day mortality within each emergency department (ED) triage classification, and what it a...

A. Ozcelik, Faruk Danış, Kaan Çelik · 0 citations
Sep 2026

Systematic overestimation of mortality by SAPS II in contemporary ICU practice: a retrospective study analyzing ICU patient outcome using the 2013-2024 French National Health Database.

BACKGROUND The present study re-evaluates the performance of the Simplified Acute Physiology Score (SAPS) II to predict in-hospital mortality of Intensive Care Unit (ICU) patients by analyzing the French nationwide hospital stay billing database between 2013 and 2024. METHODS From 2,702,204 adult ICU admissions, 80%...

Phillip Vakoula, A. G. Matos, Myriam Mezzarobba et al. · 0 citations
Sep 2026

POSSUM versus ACS NSQIP for Morbidity and Mortality Prediction in Indian Surgical Patients

Non-cardiac surgery carries substantial and variable perioperative risk, and accurate preoperative risk stratification remains central to informed consent, resource planning, and quality benchmarking; however, the performance of widely used risk models such as POSSUM and the ACS NSQIP Surgical Risk Calculator in Indian...

Anupama Vijayakumar · 0 citations
Review Open access Sep 2026

Usefulness of the ACS-NSQIP risk calculator in liver resection for primary liver malignancy in an Australian cohort

The ACS-NSQIP risk calculator predicts 30-day post-operative outcomes, but its performance in liver resection for primary malignancy is not clear in local populations. This study evaluated the predictive accuracy of this tool in patients who underwent resection for primary liver cancer. A retrospective rev...

Meet Patel, Pinika Patel, N. Bhimani et al. · 0 citations
Open access Sep 2026

Prognostic Score Model for 30-Day Mortality in Patients with Acute Pulmonary Embolism Presenting to the Emergency Department

Background/Objectives: Early risk stratification is essential in pulmonary embolism (PE), but a simple tool integrating routinely available clinical and laboratory variables is lacking. We aimed to develop a simple score for predicting 30-day mortality in patients presenting to the emergency department (ED) with PE. Me...

Shin Young Park, I. Park, H. Chung et al. · 0 citations
Open access Aug 2026

A Prospective Observational Study of qSOFA Score Combined With Initial Red Cell Distribution Width as a Diagnostic Indicator of 30 Days Mortality in Patients With Infection at Emergency Department

Introduction: Sepsis is a major cause of morbidity and mortality in emergency settings. Quick Sequential Organ Failure Assessment (qSOFA) is a bedside tool used to identify high-risk patients. Red cell distribution width (RDW), a routinely available haematological parameter, has been linked to adverse outcomes in vario...

Manimaran R, G. Karmegam, Sathish Raja et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.