As emergency general surgery (EGS) evolves, an EGS patient-tracking database (EGS registry [EGSR]) similar to the National Trauma Data Bank (NTDB) will be essential to study outcomes and improve care. The goal of this study was to establish diagnostic ICD-9 codes to define EGS patients. The hypothesis was that creating standardized ICD-9-based inclusion criteria would facilitate patient identification for an EGSR and aid in its ongoing development.

We conducted a retrospective review of EGS admissions over a 9-month period to define ICD-9 diagnostic codes of patients admitted to our EGS service. Subsequently, prospective data were collected into the EGSR by testing ICD-9-based inclusion criteria over 1 month. Patient, hospital, and severity scoring variables, as well as quality assurance information, were identified.

We identified 959 admissions to the EGS service over 9 months with 306 ICD-9 diagnosis codes that define EGS patients; the prospective population of the EGSR confirmed feasibility of ICD-9-based inclusion criteria. The EGSR captures 107 data points and 33 comorbidities per patient over 11 categories, akin to the 10 NTDB categories.

Following the model of the NTDB, we have successfully completed creation and initial implementation of an EGSR by using ICD-9-based inclusion criteria. Our comprehensive EGSR creates a prospective data-collection modality to capture and define EGS patients. A uniform patient-tracking EGSR, akin to the NTDB, will advance the science of acute care surgery, improve EGS patient outcomes, and facilitate multi-institutional collaboration.