Performance Assessment of the Mortality in Emergency Department Sepsis Score, Modified Early Warning Score, Rapid Emergency Medicine Score, and Rapid Acute Physiology Score in Predicting Survival Outcomes of Adult Renal Abscess Patients in the Emergency Department

الملخص EN

Background.

Renal abscess is a relatively uncommon yet debilitating and potentially fatal disease.

There is no clearly defined, objective risk stratification tool available for emergency physicians’ and surgeons’ use in the emergency department (ED) to quickly determine the appropriate management strategy for these patients, despite early intervention having a beneficial impact on survival outcomes.

Objective.

This case control study evaluates the performance of Mortality in Emergency Department Sepsis Score (MEDS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), and Rapid Acute Physiology Score (RAPS) in predicting risk of mortality in ED adult patients with renal abscess.

This will help emergency physicians, surgeons, and intensivists expedite the time-sensitive decision-making process.

Methods.

Data from 152 adult patients admitted to the EDs of two training and research hospitals who had undergone a contrast-enhanced computed tomography scan of the abdomen and was diagnosed with renal abscess from January 2011 to December 2015 were analyzed, with the corresponding MEDS, MEWS, REMS, RAPS, and mortality risks calculated.

Ability to predict patient mortality was assessed via receiver operating curve analysis and calibration analysis.

Results.

MEDS was found to be the best performing physiologic scoring system, with sensitivity, specificity, and accuracy of 87.50%, 88.89%, and 88.82%, respectively.

Area under receiver operating characteristic curve (AUROC) value was 0.9440, and negative predictive value was 99.22% with a cutoff of 9 points.

Conclusion.

Our study is the largest of its kind in examining ED patients with renal abscess.

MEDS has been demonstrated to be superior to MEWS, REMS, and RAPS in predicting mortality for this patient population.

We recommend its use for evaluation of disease severity and risk stratification in these patients, to expedite identification of critically ill patients requiring urgent intervention.