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Emergency Surgery Score Accurately Predicts the Risk of Post-Operative Infection in Emergency General Surgery

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  • Kelsey Han
  • Jae Moo Lee
  • Aditya Achanta
  • Napaporn Kongkaewpaisan
  • Manasnun Kongwibulwut
  • Ahmed I Eid
  • Nikolaos Kokoroskos
  • Suzanne van Wijck
  • Karien Meier
  • Ask Nordestgaard
  • Gabriel Rodriguez
  • Zhenyi Jia
  • Jarone Lee
  • David King
  • Peter Fagenholz
  • Noelle Saillant
  • April Mendoza
  • Martin Rosenthal
  • George Velmahos
  • Haytham M A Kaafarani
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BACKGROUND: The Emergency Surgery Score (ESS) was validated recently as an accurate and user-friendly post-operative mortality risk calculator specific for Emergency General Surgery (EGS). ESS is calculated by adding one to three integer points for each of 22 pre-operative variables (demographics, co-morbidities, and pre-operative laboratory values); increasing scores accurately and gradually predict higher mortality rates. We sought to evaluate whether ESS can predict the occurrence of post-operative infectious complications in EGS patients.

PATIENTS AND METHODS: Using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database from 2007-2015, all EGS patients were identified by using the "emergent" ACS-NSQIP variable and a concomitant surgery Current Procedural Terminology code for "digestive system." Patients with any missing ESS variables or those who died within 72 hours from the surgical procedure were excluded. A composite variable, post-operative infection, was created and defined as the post-operative occurrence of one or more of the following: superficial, deep incisional or organ/space surgical site infection, surgical site disruption, pneumonia, sepsis, septic shock, or urinary tract infection. ESS was calculated for all included patients, and the correlation between ESS and post-operative infection was examined using c-statistics.

RESULTS: Of a total of 4,456,809 patients, 90,412 patients were included. The mean age of the population was 56 years, 51% were female, and 70% were white; 22% developed one or more post-operative infections, most commonly sepsis/septic shock (12.2%), surgical site infection (9%), and pneumonia (5.7%). The ESS gradually and consistently predicted infectious complications; post-operative infections developed in 7%, 24%, and 49% of patients with an ESS of 1, 5, and 10, respectively. The c-statistics for overall post-operative infection, post-operative sepsis/septic shock, and pneumonia were 0.73, 0.75, and 0.80, respectively.

CONCLUSION: The ESS accurately predicts the occurrence of post-operative infectious complications in EGS patients and could be used for pre-operative clinical decision-making as well as quality benchmarking of infection rates in EGS.

Original languageEnglish
JournalSurgical Infections
Volume20
Issue number1
Pages (from-to)4-9
Number of pages6
ISSN1096-2964
DOIs
Publication statusPublished - Jan 2019

    Research areas

  • Aged, Aged, 80 and over, Communicable Diseases/epidemiology, Decision Support Techniques, Emergency Medical Services/methods, Female, General Surgery/methods, Humans, Male, Middle Aged, Postoperative Complications/epidemiology, Risk Assessment, Surgical Procedures, Operative/adverse effects, surgical site infection, emergency general surgery, post-operative infection, post-operative complication, emergency surgery score

ID: 57806137